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Labour and labour market

2025-12-08T12:13:57Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator name*
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name*
! Scale*
! Short description
! Data origin*
|-
| [[Unemployment Insurance Law. Program Type.]]
| Unemployment insurance
| Legal
| Program type
| labor_unemp_type
| Multinomial
| Program type of each scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Financing Mode.]]
| Unemployment insurance
| Legal
| Financing
| labor_unemp_financing
| String
| Defines who contributes to scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate
| Metric
| Replacement rate based on average income
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate 6 Months.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate_6_months
| Metric
| Replacement rate based on average income and 6 months of unemployment spell
| Original CRC Data
|-
| [[Unemployment Insurance Law. Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_duration
| Metric
| Duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Maximum Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_max_duration
| Metric
| Maximum duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Benefit Progressivity.]]
| Unemployment insurance
| Legal
| Inequality
| labor_unemp_benefit_progressivity
| Metric
| Progressivity of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_contributions
| Metric
| Required contributions for benefit eligibility
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Reference Period.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_reference_period
| Metric
| Reference period for required contributions
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Ratio.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_ratio
| Metric
| Ratio of required contributions and reference period
| Original CRC Data
|-
| [[Legally mandated notice period]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dis_not_per
| Metric
| Measures the length of notice, in weeks, that has to be given to a worker with 3 years’ employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated redundancy compensation]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_red_com_amm
| Metric
| Measures the amount of redundancy compensation payable to a worker made redundant after 3 years of employment, measured in weeks of pay (CBR-LRI).
| CRC Compiled Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal]]
| Labour law
| Individual labour law
| Selectivity
| labor_min_qua_per
| Metric
| Measures the period of service required before a worker qualifies for general protection against unjust dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Redundancy selection]]
| Labour law
| Individual labour law
| Seniority
| labor_redund_select
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for redundancy (CBR-LRI).
| 3rd Party Data
|-
| [[Priority in re-employment]]
| Labour law
| Individual labour law
| Seniority
| labor_pri_re_emp
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for re-employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes procedural constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_pro_dis_con
| Metric
| Measures the failures, in the country's statutory or case law and relevant court decisions, to follow procedural requirements for dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes substantive constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_sub_dis_con
| Metric
| Measures the permissibilities, in the country's statutory or case law and relevant court decisions, on dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Reinstatement normal remedy for unfair dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_reinstate
| Metric
| Measures the remedies, in the country's statutory or case law and relevant court decisions, for unfair dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_ann_lea_ent
| Metric
| Measures the normal length of annual paid leave guaranteed by law or collective agreement (CBR-LRI).
| CRC Compiled Data
|-
| [[Public holiday entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_pub_hol_ent
| Metric
| Measures the normal number of paid public holidays guaranteed by law or collective agreement(CBR-LRI).
| CRC Compiled Data
|-
| [[Overtime premia]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
| Measures the normal premium for overtime working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Weekend working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_weekend_work
| Metric
| Measures the normal premium for weekend working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Limits to overtime working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_work
| Metric
| Measures the maximum weekly number of overtime hours permitted by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Duration of the normal working week]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workweek
| Metric
| Measures the maximum duration of the normal working week exclusive of overtime (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum daily working time]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workday
| Metric
| Measures the maximum number of permitted working hours in a day, taking account of rules governing rest breaks and maximum daily working time limits (CBR-LRI).
| CRC Compiled Data
|-
| [[The law determines the legal status of the worker]]
| Labour law
| Individual labour law
| Selectivity
| labor_work_def
| Metric
| Measures the kind of legal relationship in the country's statutory or case law and relevant court decisions determining the legal status of the worker (CBR-LRI).
| CRC Compiled Data
|-
| [[Part-time workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_ptemp_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment for part-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Dismissing costs for part-time workers is proportional]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_pt_dis_cost
| Metric
| Measures the proportionality in the country's statutory or case law and relevant court decisions in terms of cost of dismissing part-time vs full-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fx_limit
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions on the conclusion of a fixed-term contract (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fxemp_et
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions in equal treatment of fixed-term versus permanent workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum duration of fixed-term contracts]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_max_fx_dur
| Metric
| Measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent(CBR-LRI).
| CRC Compiled Data
|-
| [[Agency work is prohibited or strictly controlled]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_con
| Metric
| Measures the prohibition in the country's statutory or case law and relevant court decisions for agency work (CBR-LRI).
| CRC Compiled Data
|-
| [[Agency workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment of agency workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated notice period increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_notped_sen
| Metric
| Measures the strength of the law in increasing the notice periods for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Legally mandated severance compensation increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_redcomp_sen
| Metric
| Measures the strength of the law in increasing severance payments for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Seniority is a decisive redundancy selection criterion ]]
| Labour law
| Individual labour law
| Seniority
| labor_redsec_sen
| Metric
| Measures the strength of the law in taking account of seniority as a decisive redudancy selection criterion (CRC 1342).
| Original CRC Data
|-
| [[Dismissal protection depends on size of enterprise ]]
| Labour law
| Individual labour law
| Selectivity
| labor_dispro_size
| Metric
| Measures the dismissal protection in relation to size of the enterprise (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_gend
| Metric
| Measures non-discrimination based on the gender in terms of access to employment (CRC 1342).
| Original CRC Data
|-
| [[Law prescribes special measures for women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_gend
| Metric
| Measures the strength of the law in prescribing special measures for women (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_ethn
| Metric
| Measures if the law is guaranteeing non-discrimination concerning the ethnicity/race or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides regulation of special measures concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_ethn
| Metric
| Measures the strength of the law in prescribing special measures for groups discriminated against in terms of ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqpay
| Metric
| Measures wether the law is guaranteeing equal pay for equal value or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_gend
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning sex (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_ethn
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Employees enjoy right to a universal minimum wage ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_minwage
| Metric
| Measures the strength of the law in guaranteeing a minimum wage for all employees (CRC 1342).
| Original CRC Data
|-
| [[Right to unionisation ]]
| Labour law
| Collective rights
| Employee representation
| labor_union
| Metric
| Measures the protection of the right to form trade unions in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Right to collective bargaining ]]
| Labour law
| Collective rights
| Employee representation
| labor_coll_barg
| Metric
| Measures the protection of the right to collective bargaining or the right to enter into collective agreements in the country's constitution (loosely interpreted in the case of system such as the UK without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Duty to bargain ]]
| Labour law
| Collective rights
| Employee representation
| labor_duty_barg
| Metric
| Measures the employers duty of the right to reach an agreement with official collective actors in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Extension of collective agreements ]]
| Labour law
| Collective rights
| Employee representation
| labor_exten_barg
| Metric
| Measures the extension of collective agreements in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Closed shops ]]
| Labour law
| Collective rights
| Employee representation
| labor_closedshop
| Metric
| Measures the right in prohibiting/permitting pre-entry/post-entry closed shops in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination board membership ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_bmem
| Metric
| Measures the co-determination right of unions/workers in terms of board membership in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination and information/consultation of workers ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_info
| Metric
| Measures the rights of information and co-decision making of works councils or enterprise committees in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Unofficial industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_unoff_indact
| Metric
| Measures the unlawfulness of unofficial industrial action (such as unofficial or ‘wildcat’ strikes) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Political industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_polit_indact
| Metric
| Measures the unlawfulness of political industrial action (i.e. non work-related) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Secondary industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_second_indact
| Metric
| Measures the constrains on secondary industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Lockouts ]]
| Labour law
| Collective rights
| Industrial action
| labor_lockouts
| Metric
| Measures the permission of lockouts in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Right to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_right_indact
| Metric
| Measures the protection of the right to industrial action (i.e. strike, go-slow or work-to-rule) in the country's constitution or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Waiting period prior to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_wait_indact
| Metric
| Measures the requirement of a waiting period prior to industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Peace obligation ]]
| Labour law
| Collective rights
| Industrial action
| labor_peace_oblig
| Metric
| Measures the unlawfulness of strikes while peace obligation are in force in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Compulsory conciliation or arbitration ]]
| Labour law
| Collective rights
| Industrial action
| labor_comp_conc
| Metric
| Measures the right of mandate conciliation procedures or other alternative-dispute-resolution in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Replacement of striking workers ]]
| Labour law
| Collective rights
| Industrial action
| labor_replac_strike
| Metric
| Measures the prohibition of dismissal for striking workers in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Type of employment law]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ
| Multinomial
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[Standard-setting function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_stand_sett_func
| Metric
| Measures the level of general worker protection in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Privileging function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_priv_func
| Metric
| Measures the level of norm-related privileging in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Equalising function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_equa_func
| Metric
| Measures the level of norm-related equalising in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Work-injury. Introduction year of first federal law. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Introduction year of first law as independent nation-state. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstnat
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law program type. ]]
| Work-injury
| First law
| Program type
| labor_workinjury_firstlaw_programtype
| Multinomial
| Either employer-liability (=1) or a risk-pooling (=2), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First risk pooling law. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_firstins
| Date
| Year of first law that involved risk-pooling, either as insurance or fund (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First establishment of a fund. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_fund
| Date
| Year of first law establishing a provident fund for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First instance of social insurance. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_socins
| Date
| Year of first law establishing social insurance for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar
| Date
| Year of law first covering any white-collar, commercial workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar_fullcoverage
| Date
| Year of law first covering all* white-collar workers (*defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar
| Date
| Year of law first covering any segment of the blue-collar work-force (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar_fullcoverage
| Date
| Year of law first covering all* blue-collar industrial workers (*not counting agriculture; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first full-coverage social insurance. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstins_bluecollar_fullcoverage
| Date
| Year of law first covering all blue-collar industrial workers with social insurance
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers
| Date
| Year of first law covering some or all agricultural workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers_fullcoverage
| Date
| Year of law first covering all* agricultural workers (*not counting farmers; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First-law according to US Social Security Administration. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw_sspw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate temporary. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_temp
| Metric
| Wage replacement rate for incapacity to work for a period of 6 months, with expected return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate permanent. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_perm
| Metric
| Wage replacement rate for incapacity to work for a period of 12 months, unexpected to return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as percent of labor force. ]]
| Work-injury
| Legal
| Inclusivity
| labor_workinjury_coverage
| Metric
| Percentage of the labor force legally covered by main work-injury law, and all subsidiary laws and exceptions (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of temporary wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_temp
| Metric
| Legal duration of benefits for temporary incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of permanent wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_perm
| Metric
| Legal duration of benefits for permanent incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate single worker harmonized for SIED and imputed for full world. ]]
| Work-injury
| Legal
| Benefits
| workinjury_replacement_rate_single_SIED_harmo_full
| Metric
| Multi-law and applied policy legal replacement rate for incapacity to work due to a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as a percent of labor force SIED harmonized and imputed for full world. ]]
| Work-injury
| Legal
| Inclusivity
| workinjury_coverage_SIED_harmo_full
| Metric
| Multi-law and applied legal coverage as a percent of the labor force against a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. Introduction year of first federal law. ]]
| Unemployment insurance
| First law
| Introduction
| labor_unemp_firstlaw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law program type. ]]
| Unemployment insurance
| First law
| Program type
| labor_unemp_firstlaw_programtype
| Multinomial
| Nature of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law financing mode.]]
| Unemployment insurance
| First law
| Financing
| labor_unemp_firstlaw_financing
| Multinomial
| Financing mode of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law beneficiaries.]]
| Unemployment insurance
| First law
| Coverage
| labor_unemp_firstlaw_beneficiaries
| Multinomial
| Which groups were covered by the first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law benefit duration and amount. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_duration
| String
| Written description of the maximum amount and duration of unemployment (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law family benefit. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_benefit_family
| Binary
| Any provision for family in case of unemployment
| Original CRC Data
|-
| [[Unemployment. First law group differences. ]]
| Unemployment insurance
| First law
| Inequality
| labor_unemp_firstlaw_groupdiff
| String
| Any groups excluded by race, ethnicity, place of birth, language, religion, gender, or other non-occupation-related group differences
| Original CRC Data
|-
| [[Introduction dates employment legislation]]
| Labour law
| Individual labour law
| Regulation of contract
| labor_employleg_employpro_regcontract
| Date
| The data set captures years of introduction of the first law concerning the regulation of contracts (CRC 1342)
| Original CRC Data
|-
| [[Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_string
| String
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law ]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short
| Multinomial
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short_string
| String
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[Notification of dismissal]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_not_dism
| Metric
| Measures the notifications, in the country's statutory or case law and relevant court decisions, of dismissal by third party (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_leave
| Metric
|
| Original CRC Data
|-
| [[Public holiday entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_holiday
| Metric
|
| Original CRC Data
|-
| [[Overtime premia (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_ot_premia
| Metric
|
| Original CRC Data
|-
| [[Weekend working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_we_premia
| Metric
|
| Original CRC Data
|-
| [[Limits to overtime working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_ot_limit
| Metric
|
| Original CRC Data
|-
| [[Duration of the normal working week (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_week
| Metric
|
| Original CRC Data
|-
| [[Maximum daily working time (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_day
| Metric
|
| Original CRC Data
|-
| [[Legally mandated notice period (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_notice
| Metric
|
| Original CRC Data
|-
| [[Legally mandated redundancy compensation (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_comp
| Metric
|
| Original CRC Data
|-
| [[Law imposes procedural constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_proced
| Metric
|
| Original CRC Data
|-
| [[Law imposes substantive constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_subst
| Metric
|
| Original CRC Data
|-
| [[Reinstatement normal remedy for unfair dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_reinstate
| Metric
|
| Original CRC Data
|-
| [[Notification of dismissal (WoL, V2)]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_dism_notif
| Metric
|
| Original CRC Data
|-
| [[Notice period increases with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_notif
| Metric
|
| Original CRC Data
|-
| [[Severance/redundancy payments increase with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_pay
| Metric
|
| Original CRC Data
|-
| [[Seniority is a decisive selection criterion in case of redundancy (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_sel
| Metric
|
| Original CRC Data
|-
| [[Priority in re-employment (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_prio
| Metric
|
| Original CRC Data
|-
| [[General dismissal protection depends on the size of the enterprise (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_size
| Metric
|
| Original CRC Data
|-
| [[The law, as opposed to the contracting parties, determines the legal status of the worker (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_contract
| Metric
|
| Original CRC Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_sen_quali
| Metric
|
| Original CRC Data
|-
| [[The law prescribes special measures (e.g. affirmative action) in order to overcome labour discrimination of women (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_special_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities for men and women in terms of access to employment (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_op_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities concerning ethnicity/race in terms of access to employment (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_op_rac
| Metric
|
| Original CRC Data
|-
| [[The law prescribes special measures (e.g. affirmative action) in order to overcome labour discrimination of groups disadvantaged in terms of ethnic/racial backgrounds (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_special_rac
| Metric
|
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_pay
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities for men and women in terms of working conditions (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_cond_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities in terms of working conditions concerning ethnicity/race (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_cond_rac
| Metric
|
| Original CRC Data
|-
| [[Employees enjoy the right to a universal minimum wage (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_equity_miniwage
| Metric
|
| Original CRC Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_fix_constr
| Metric
|
| Original CRC Data
|-
| [[Maximum duration of fixed-term contracts (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_fix_dura
| Metric
|
| Original CRC Data
|-
| [[Agency work is prohibited or strictly controlled (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_agen_contr
| Metric
|
| Original CRC Data
|-
| [[Part-time workers have the right to equal treatment with full-time workers (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_part_equal
| Metric
|
| Original CRC Data
|-
| [[The cost of dismissing part-time workers is equal in proportionate terms to the cost of dismissing full-time workers (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_part_dismiss
| Metric
|
| Original CRC Data
|-
| [[Fixed-term workers have the right to equal treatment with permanent workers (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_fix_equal
| Metric
|
| Original CRC Data
|-
| [[Agency workers have the right to equal treatment with permanent workers of the user undertaking (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_agen_equal
| Metric
|
| Original CRC Data
|-
|}

Labour and labour market

2025-11-14T09:07:26Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator name*
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name*
! Scale*
! Short description
! Data origin*
|-
| [[Unemployment Insurance Law. Program Type.]]
| Unemployment insurance
| Legal
| Program type
| labor_unemp_type
| Multinomial
| Program type of each scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Financing Mode.]]
| Unemployment insurance
| Legal
| Financing
| labor_unemp_financing
| String
| Defines who contributes to scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate
| Metric
| Replacement rate based on average income
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate 6 Months.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate_6_months
| Metric
| Replacement rate based on average income and 6 months of unemployment spell
| Original CRC Data
|-
| [[Unemployment Insurance Law. Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_duration
| Metric
| Duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Maximum Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_max_duration
| Metric
| Maximum duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Benefit Progressivity.]]
| Unemployment insurance
| Legal
| Inequality
| labor_unemp_benefit_progressivity
| Metric
| Progressivity of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_contributions
| Metric
| Required contributions for benefit eligibility
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Reference Period.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_reference_period
| Metric
| Reference period for required contributions
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Ratio.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_ratio
| Metric
| Ratio of required contributions and reference period
| Original CRC Data
|-
| [[Legally mandated notice period]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dis_not_per
| Metric
| Measures the length of notice, in weeks, that has to be given to a worker with 3 years’ employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated redundancy compensation]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_red_com_amm
| Metric
| Measures the amount of redundancy compensation payable to a worker made redundant after 3 years of employment, measured in weeks of pay (CBR-LRI).
| CRC Compiled Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal]]
| Labour law
| Individual labour law
| Selectivity
| labor_min_qua_per
| Metric
| Measures the period of service required before a worker qualifies for general protection against unjust dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Redundancy selection]]
| Labour law
| Individual labour law
| Seniority
| labor_redund_select
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for redundancy (CBR-LRI).
| 3rd Party Data
|-
| [[Priority in re-employment]]
| Labour law
| Individual labour law
| Seniority
| labor_pri_re_emp
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for re-employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes procedural constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_pro_dis_con
| Metric
| Measures the failures, in the country's statutory or case law and relevant court decisions, to follow procedural requirements for dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes substantive constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_sub_dis_con
| Metric
| Measures the permissibilities, in the country's statutory or case law and relevant court decisions, on dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Reinstatement normal remedy for unfair dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_reinstate
| Metric
| Measures the remedies, in the country's statutory or case law and relevant court decisions, for unfair dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_ann_lea_ent
| Metric
| Measures the normal length of annual paid leave guaranteed by law or collective agreement (CBR-LRI).
| CRC Compiled Data
|-
| [[Public holiday entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_pub_hol_ent
| Metric
| Measures the normal number of paid public holidays guaranteed by law or collective agreement(CBR-LRI).
| CRC Compiled Data
|-
| [[Overtime premia]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
| Measures the normal premium for overtime working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Weekend working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_weekend_work
| Metric
| Measures the normal premium for weekend working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Limits to overtime working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_work
| Metric
| Measures the maximum weekly number of overtime hours permitted by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Duration of the normal working week]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workweek
| Metric
| Measures the maximum duration of the normal working week exclusive of overtime (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum daily working time]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workday
| Metric
| Measures the maximum number of permitted working hours in a day, taking account of rules governing rest breaks and maximum daily working time limits (CBR-LRI).
| CRC Compiled Data
|-
| [[The law determines the legal status of the worker]]
| Labour law
| Individual labour law
| Selectivity
| labor_work_def
| Metric
| Measures the kind of legal relationship in the country's statutory or case law and relevant court decisions determining the legal status of the worker (CBR-LRI).
| CRC Compiled Data
|-
| [[Part-time workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_ptemp_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment for part-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Dismissing costs for part-time workers is proportional]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_pt_dis_cost
| Metric
| Measures the proportionality in the country's statutory or case law and relevant court decisions in terms of cost of dismissing part-time vs full-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fx_limit
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions on the conclusion of a fixed-term contract (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fxemp_et
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions in equal treatment of fixed-term versus permanent workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum duration of fixed-term contracts]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_max_fx_dur
| Metric
| Measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent(CBR-LRI).
| CRC Compiled Data
|-
| [[Agency work is prohibited or strictly controlled]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_con
| Metric
| Measures the prohibition in the country's statutory or case law and relevant court decisions for agency work (CBR-LRI).
| CRC Compiled Data
|-
| [[Agency workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment of agency workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated notice period increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_notped_sen
| Metric
| Measures the strength of the law in increasing the notice periods for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Legally mandated severance compensation increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_redcomp_sen
| Metric
| Measures the strength of the law in increasing severance payments for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Seniority is a decisive redundancy selection criterion ]]
| Labour law
| Individual labour law
| Seniority
| labor_redsec_sen
| Metric
| Measures the strength of the law in taking account of seniority as a decisive redudancy selection criterion (CRC 1342).
| Original CRC Data
|-
| [[Dismissal protection depends on size of enterprise ]]
| Labour law
| Individual labour law
| Selectivity
| labor_dispro_size
| Metric
| Measures the dismissal protection in relation to size of the enterprise (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_gend
| Metric
| Measures non-discrimination based on the gender in terms of access to employment (CRC 1342).
| Original CRC Data
|-
| [[Law prescribes special measures for women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_gend
| Metric
| Measures the strength of the law in prescribing special measures for women (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_ethn
| Metric
| Measures if the law is guaranteeing non-discrimination concerning the ethnicity/race or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides regulation of special measures concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_ethn
| Metric
| Measures the strength of the law in prescribing special measures for groups discriminated against in terms of ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqpay
| Metric
| Measures wether the law is guaranteeing equal pay for equal value or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_gend
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning sex (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_ethn
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Employees enjoy right to a universal minimum wage ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_minwage
| Metric
| Measures the strength of the law in guaranteeing a minimum wage for all employees (CRC 1342).
| Original CRC Data
|-
| [[Right to unionisation ]]
| Labour law
| Collective rights
| Employee representation
| labor_union
| Metric
| Measures the protection of the right to form trade unions in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Right to collective bargaining ]]
| Labour law
| Collective rights
| Employee representation
| labor_coll_barg
| Metric
| Measures the protection of the right to collective bargaining or the right to enter into collective agreements in the country's constitution (loosely interpreted in the case of system such as the UK without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Duty to bargain ]]
| Labour law
| Collective rights
| Employee representation
| labor_duty_barg
| Metric
| Measures the employers duty of the right to reach an agreement with official collective actors in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Extension of collective agreements ]]
| Labour law
| Collective rights
| Employee representation
| labor_exten_barg
| Metric
| Measures the extension of collective agreements in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Closed shops ]]
| Labour law
| Collective rights
| Employee representation
| labor_closedshop
| Metric
| Measures the right in prohibiting/permitting pre-entry/post-entry closed shops in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination board membership ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_bmem
| Metric
| Measures the co-determination right of unions/workers in terms of board membership in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination and information/consultation of workers ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_info
| Metric
| Measures the rights of information and co-decision making of works councils or enterprise committees in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Unofficial industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_unoff_indact
| Metric
| Measures the unlawfulness of unofficial industrial action (such as unofficial or ‘wildcat’ strikes) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Political industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_polit_indact
| Metric
| Measures the unlawfulness of political industrial action (i.e. non work-related) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Secondary industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_second_indact
| Metric
| Measures the constrains on secondary industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Lockouts ]]
| Labour law
| Collective rights
| Industrial action
| labor_lockouts
| Metric
| Measures the permission of lockouts in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Right to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_right_indact
| Metric
| Measures the protection of the right to industrial action (i.e. strike, go-slow or work-to-rule) in the country's constitution or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Waiting period prior to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_wait_indact
| Metric
| Measures the requirement of a waiting period prior to industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Peace obligation ]]
| Labour law
| Collective rights
| Industrial action
| labor_peace_oblig
| Metric
| Measures the unlawfulness of strikes while peace obligation are in force in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Compulsory conciliation or arbitration ]]
| Labour law
| Collective rights
| Industrial action
| labor_comp_conc
| Metric
| Measures the right of mandate conciliation procedures or other alternative-dispute-resolution in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Replacement of striking workers ]]
| Labour law
| Collective rights
| Industrial action
| labor_replac_strike
| Metric
| Measures the prohibition of dismissal for striking workers in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Type of employment law]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ
| Multinomial
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[Standard-setting function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_stand_sett_func
| Metric
| Measures the level of general worker protection in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Privileging function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_priv_func
| Metric
| Measures the level of norm-related privileging in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Equalising function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_equa_func
| Metric
| Measures the level of norm-related equalising in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Work-injury. Introduction year of first federal law. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Introduction year of first law as independent nation-state. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstnat
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law program type. ]]
| Work-injury
| First law
| Program type
| labor_workinjury_firstlaw_programtype
| Multinomial
| Either employer-liability (=1) or a risk-pooling (=2), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First risk pooling law. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_firstins
| Date
| Year of first law that involved risk-pooling, either as insurance or fund (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First establishment of a fund. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_fund
| Date
| Year of first law establishing a provident fund for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First instance of social insurance. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_socins
| Date
| Year of first law establishing social insurance for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar
| Date
| Year of law first covering any white-collar, commercial workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar_fullcoverage
| Date
| Year of law first covering all* white-collar workers (*defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar
| Date
| Year of law first covering any segment of the blue-collar work-force (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar_fullcoverage
| Date
| Year of law first covering all* blue-collar industrial workers (*not counting agriculture; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first full-coverage social insurance. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstins_bluecollar_fullcoverage
| Date
| Year of law first covering all blue-collar industrial workers with social insurance
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers
| Date
| Year of first law covering some or all agricultural workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers_fullcoverage
| Date
| Year of law first covering all* agricultural workers (*not counting farmers; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First-law according to US Social Security Administration. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw_sspw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate temporary. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_temp
| Metric
| Wage replacement rate for incapacity to work for a period of 6 months, with expected return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate permanent. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_perm
| Metric
| Wage replacement rate for incapacity to work for a period of 12 months, unexpected to return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as percent of labor force. ]]
| Work-injury
| Legal
| Inclusivity
| labor_workinjury_coverage
| Metric
| Percentage of the labor force legally covered by main work-injury law, and all subsidiary laws and exceptions (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of temporary wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_temp
| Metric
| Legal duration of benefits for temporary incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of permanent wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_perm
| Metric
| Legal duration of benefits for permanent incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate single worker harmonized for SIED and imputed for full world. ]]
| Work-injury
| Legal
| Benefits
| workinjury_replacement_rate_single_SIED_harmo_full
| Metric
| Multi-law and applied policy legal replacement rate for incapacity to work due to a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as a percent of labor force SIED harmonized and imputed for full world. ]]
| Work-injury
| Legal
| Inclusivity
| workinjury_coverage_SIED_harmo_full
| Metric
| Multi-law and applied legal coverage as a percent of the labor force against a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. Introduction year of first federal law. ]]
| Unemployment insurance
| First law
| Introduction
| labor_unemp_firstlaw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law program type. ]]
| Unemployment insurance
| First law
| Program type
| labor_unemp_firstlaw_programtype
| Multinomial
| Nature of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law financing mode.]]
| Unemployment insurance
| First law
| Financing
| labor_unemp_firstlaw_financing
| Multinomial
| Financing mode of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law beneficiaries.]]
| Unemployment insurance
| First law
| Coverage
| labor_unemp_firstlaw_beneficiaries
| Multinomial
| Which groups were covered by the first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law benefit duration and amount. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_duration
| String
| Written description of the maximum amount and duration of unemployment (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law family benefit. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_benefit_family
| Binary
| Any provision for family in case of unemployment
| Original CRC Data
|-
| [[Unemployment. First law group differences. ]]
| Unemployment insurance
| First law
| Inequality
| labor_unemp_firstlaw_groupdiff
| String
| Any groups excluded by race, ethnicity, place of birth, language, religion, gender, or other non-occupation-related group differences
| Original CRC Data
|-
| [[Introduction dates employment legislation]]
| Labour law
| Individual labour law
| Regulation of contract
| labor_employleg_employpro_regcontract
| Date
| The data set captures years of introduction of the first law concerning the regulation of contracts (CRC 1342)
| Original CRC Data
|-
| [[Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_string
| String
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law ]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short
| Multinomial
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short_string
| String
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[Notification of dismissal]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_not_dism
| Metric
| Measures the notifications, in the country's statutory or case law and relevant court decisions, of dismissal by third party (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_leave
| Metric
|
| Original CRC Data
|-
| [[Public holiday entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_holiday
| Metric
|
| Original CRC Data
|-
| [[Overtime premia (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
|
| Original CRC Data
|-
| [[Weekend working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_we_premia
| Metric
|
| Original CRC Data
|-
| [[Limits to overtime working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_ot_limit
| Metric
|
| Original CRC Data
|-
| [[Duration of the normal working week (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_week
| Metric
|
| Original CRC Data
|-
| [[Maximum daily working time (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_day
| Metric
|
| Original CRC Data
|-
| [[Legally mandated notice period (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_notice
| Metric
|
| Original CRC Data
|-
| [[Legally mandated redundancy compensation (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_comp
| Metric
|
| Original CRC Data
|-
| [[Law imposes procedural constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_proced
| Metric
|
| Original CRC Data
|-
| [[Law imposes substantive constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_subst
| Metric
|
| Original CRC Data
|-
| [[Reinstatement normal remedy for unfair dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_reinstate
| Metric
|
| Original CRC Data
|-
| [[Notification of dismissal (WoL, V2)]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_dism_notif
| Metric
|
| Original CRC Data
|-
| [[Notice period increases with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_notif
| Metric
|
| Original CRC Data
|-
| [[Severance/redundancy payments increase with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_pay
| Metric
|
| Original CRC Data
|-
| [[Seniority is a decisive selection criterion in case of redundancy (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_sel
| Metric
|
| Original CRC Data
|-
| [[Priority in re-employment (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_prio
| Metric
|
| Original CRC Data
|-
| [[General dismissal protection depends on the size of the enterprise (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_size
| Metric
|
| Original CRC Data
|-
| [[The law, as opposed to the contracting parties, determines the legal status of the worker (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_contract
| Metric
|
| Original CRC Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_sen_quali
| Metric
|
| Original CRC Data
|-
| [[The law prescribes special measures (e.g. affirmative action) in order to overcome labour discrimination of women (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_special_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities for men and women in terms of access to employment (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_op_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities concerning ethnicity/race in terms of access to employment (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_op_rac
| Metric
|
| Original CRC Data
|-
| [[The law prescribes special measures (e.g. affirmative action) in order to overcome labour discrimination of groups disadvantaged in terms of ethnic/racial backgrounds (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_special_rac
| Metric
|
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_pay
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities for men and women in terms of working conditions (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_cond_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities in terms of working conditions concerning ethnicity/race (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_cond_rac
| Metric
|
| Original CRC Data
|-
| [[Employees enjoy the right to a universal minimum wage (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_equity_miniwage
| Metric
|
| Original CRC Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_fix_constr
| Metric
|
| Original CRC Data
|-
| [[Maximum duration of fixed-term contracts (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_fix_dura
| Metric
|
| Original CRC Data
|-
| [[Agency workers have the right to equal treatment with permanent workers of the user undertaking (WoL, V2)]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_equity_agen_equal
| Metric
|
| Original CRC Data
|-
|}

Labour and labour market

2025-11-14T08:58:31Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator name*
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name*
! Scale*
! Short description
! Data origin*
|-
| [[Unemployment Insurance Law. Program Type.]]
| Unemployment insurance
| Legal
| Program type
| labor_unemp_type
| Multinomial
| Program type of each scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Financing Mode.]]
| Unemployment insurance
| Legal
| Financing
| labor_unemp_financing
| String
| Defines who contributes to scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate
| Metric
| Replacement rate based on average income
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate 6 Months.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate_6_months
| Metric
| Replacement rate based on average income and 6 months of unemployment spell
| Original CRC Data
|-
| [[Unemployment Insurance Law. Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_duration
| Metric
| Duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Maximum Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_max_duration
| Metric
| Maximum duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Benefit Progressivity.]]
| Unemployment insurance
| Legal
| Inequality
| labor_unemp_benefit_progressivity
| Metric
| Progressivity of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_contributions
| Metric
| Required contributions for benefit eligibility
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Reference Period.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_reference_period
| Metric
| Reference period for required contributions
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Ratio.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_ratio
| Metric
| Ratio of required contributions and reference period
| Original CRC Data
|-
| [[Legally mandated notice period]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dis_not_per
| Metric
| Measures the length of notice, in weeks, that has to be given to a worker with 3 years’ employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated redundancy compensation]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_red_com_amm
| Metric
| Measures the amount of redundancy compensation payable to a worker made redundant after 3 years of employment, measured in weeks of pay (CBR-LRI).
| CRC Compiled Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal]]
| Labour law
| Individual labour law
| Selectivity
| labor_min_qua_per
| Metric
| Measures the period of service required before a worker qualifies for general protection against unjust dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Redundancy selection]]
| Labour law
| Individual labour law
| Seniority
| labor_redund_select
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for redundancy (CBR-LRI).
| 3rd Party Data
|-
| [[Priority in re-employment]]
| Labour law
| Individual labour law
| Seniority
| labor_pri_re_emp
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for re-employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes procedural constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_pro_dis_con
| Metric
| Measures the failures, in the country's statutory or case law and relevant court decisions, to follow procedural requirements for dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes substantive constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_sub_dis_con
| Metric
| Measures the permissibilities, in the country's statutory or case law and relevant court decisions, on dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Reinstatement normal remedy for unfair dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_reinstate
| Metric
| Measures the remedies, in the country's statutory or case law and relevant court decisions, for unfair dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_ann_lea_ent
| Metric
| Measures the normal length of annual paid leave guaranteed by law or collective agreement (CBR-LRI).
| CRC Compiled Data
|-
| [[Public holiday entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_pub_hol_ent
| Metric
| Measures the normal number of paid public holidays guaranteed by law or collective agreement(CBR-LRI).
| CRC Compiled Data
|-
| [[Overtime premia]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
| Measures the normal premium for overtime working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Weekend working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_weekend_work
| Metric
| Measures the normal premium for weekend working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Limits to overtime working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_work
| Metric
| Measures the maximum weekly number of overtime hours permitted by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Duration of the normal working week]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workweek
| Metric
| Measures the maximum duration of the normal working week exclusive of overtime (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum daily working time]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workday
| Metric
| Measures the maximum number of permitted working hours in a day, taking account of rules governing rest breaks and maximum daily working time limits (CBR-LRI).
| CRC Compiled Data
|-
| [[The law determines the legal status of the worker]]
| Labour law
| Individual labour law
| Selectivity
| labor_work_def
| Metric
| Measures the kind of legal relationship in the country's statutory or case law and relevant court decisions determining the legal status of the worker (CBR-LRI).
| CRC Compiled Data
|-
| [[Part-time workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_ptemp_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment for part-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Dismissing costs for part-time workers is proportional]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_pt_dis_cost
| Metric
| Measures the proportionality in the country's statutory or case law and relevant court decisions in terms of cost of dismissing part-time vs full-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fx_limit
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions on the conclusion of a fixed-term contract (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fxemp_et
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions in equal treatment of fixed-term versus permanent workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum duration of fixed-term contracts]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_max_fx_dur
| Metric
| Measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent(CBR-LRI).
| CRC Compiled Data
|-
| [[Agency work is prohibited or strictly controlled]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_con
| Metric
| Measures the prohibition in the country's statutory or case law and relevant court decisions for agency work (CBR-LRI).
| CRC Compiled Data
|-
| [[Agency workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment of agency workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated notice period increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_notped_sen
| Metric
| Measures the strength of the law in increasing the notice periods for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Legally mandated severance compensation increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_redcomp_sen
| Metric
| Measures the strength of the law in increasing severance payments for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Seniority is a decisive redundancy selection criterion ]]
| Labour law
| Individual labour law
| Seniority
| labor_redsec_sen
| Metric
| Measures the strength of the law in taking account of seniority as a decisive redudancy selection criterion (CRC 1342).
| Original CRC Data
|-
| [[Dismissal protection depends on size of enterprise ]]
| Labour law
| Individual labour law
| Selectivity
| labor_dispro_size
| Metric
| Measures the dismissal protection in relation to size of the enterprise (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_gend
| Metric
| Measures non-discrimination based on the gender in terms of access to employment (CRC 1342).
| Original CRC Data
|-
| [[Law prescribes special measures for women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_gend
| Metric
| Measures the strength of the law in prescribing special measures for women (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_ethn
| Metric
| Measures if the law is guaranteeing non-discrimination concerning the ethnicity/race or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides regulation of special measures concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_ethn
| Metric
| Measures the strength of the law in prescribing special measures for groups discriminated against in terms of ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqpay
| Metric
| Measures wether the law is guaranteeing equal pay for equal value or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_gend
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning sex (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_ethn
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Employees enjoy right to a universal minimum wage ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_minwage
| Metric
| Measures the strength of the law in guaranteeing a minimum wage for all employees (CRC 1342).
| Original CRC Data
|-
| [[Right to unionisation ]]
| Labour law
| Collective rights
| Employee representation
| labor_union
| Metric
| Measures the protection of the right to form trade unions in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Right to collective bargaining ]]
| Labour law
| Collective rights
| Employee representation
| labor_coll_barg
| Metric
| Measures the protection of the right to collective bargaining or the right to enter into collective agreements in the country's constitution (loosely interpreted in the case of system such as the UK without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Duty to bargain ]]
| Labour law
| Collective rights
| Employee representation
| labor_duty_barg
| Metric
| Measures the employers duty of the right to reach an agreement with official collective actors in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Extension of collective agreements ]]
| Labour law
| Collective rights
| Employee representation
| labor_exten_barg
| Metric
| Measures the extension of collective agreements in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Closed shops ]]
| Labour law
| Collective rights
| Employee representation
| labor_closedshop
| Metric
| Measures the right in prohibiting/permitting pre-entry/post-entry closed shops in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination board membership ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_bmem
| Metric
| Measures the co-determination right of unions/workers in terms of board membership in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination and information/consultation of workers ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_info
| Metric
| Measures the rights of information and co-decision making of works councils or enterprise committees in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Unofficial industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_unoff_indact
| Metric
| Measures the unlawfulness of unofficial industrial action (such as unofficial or ‘wildcat’ strikes) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Political industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_polit_indact
| Metric
| Measures the unlawfulness of political industrial action (i.e. non work-related) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Secondary industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_second_indact
| Metric
| Measures the constrains on secondary industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Lockouts ]]
| Labour law
| Collective rights
| Industrial action
| labor_lockouts
| Metric
| Measures the permission of lockouts in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Right to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_right_indact
| Metric
| Measures the protection of the right to industrial action (i.e. strike, go-slow or work-to-rule) in the country's constitution or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Waiting period prior to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_wait_indact
| Metric
| Measures the requirement of a waiting period prior to industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Peace obligation ]]
| Labour law
| Collective rights
| Industrial action
| labor_peace_oblig
| Metric
| Measures the unlawfulness of strikes while peace obligation are in force in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Compulsory conciliation or arbitration ]]
| Labour law
| Collective rights
| Industrial action
| labor_comp_conc
| Metric
| Measures the right of mandate conciliation procedures or other alternative-dispute-resolution in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Replacement of striking workers ]]
| Labour law
| Collective rights
| Industrial action
| labor_replac_strike
| Metric
| Measures the prohibition of dismissal for striking workers in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Type of employment law]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ
| Multinomial
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[Standard-setting function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_stand_sett_func
| Metric
| Measures the level of general worker protection in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Privileging function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_priv_func
| Metric
| Measures the level of norm-related privileging in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Equalising function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_equa_func
| Metric
| Measures the level of norm-related equalising in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Work-injury. Introduction year of first federal law. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Introduction year of first law as independent nation-state. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstnat
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law program type. ]]
| Work-injury
| First law
| Program type
| labor_workinjury_firstlaw_programtype
| Multinomial
| Either employer-liability (=1) or a risk-pooling (=2), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First risk pooling law. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_firstins
| Date
| Year of first law that involved risk-pooling, either as insurance or fund (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First establishment of a fund. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_fund
| Date
| Year of first law establishing a provident fund for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First instance of social insurance. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_socins
| Date
| Year of first law establishing social insurance for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar
| Date
| Year of law first covering any white-collar, commercial workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar_fullcoverage
| Date
| Year of law first covering all* white-collar workers (*defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar
| Date
| Year of law first covering any segment of the blue-collar work-force (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar_fullcoverage
| Date
| Year of law first covering all* blue-collar industrial workers (*not counting agriculture; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first full-coverage social insurance. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstins_bluecollar_fullcoverage
| Date
| Year of law first covering all blue-collar industrial workers with social insurance
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers
| Date
| Year of first law covering some or all agricultural workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers_fullcoverage
| Date
| Year of law first covering all* agricultural workers (*not counting farmers; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First-law according to US Social Security Administration. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw_sspw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate temporary. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_temp
| Metric
| Wage replacement rate for incapacity to work for a period of 6 months, with expected return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate permanent. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_perm
| Metric
| Wage replacement rate for incapacity to work for a period of 12 months, unexpected to return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as percent of labor force. ]]
| Work-injury
| Legal
| Inclusivity
| labor_workinjury_coverage
| Metric
| Percentage of the labor force legally covered by main work-injury law, and all subsidiary laws and exceptions (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of temporary wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_temp
| Metric
| Legal duration of benefits for temporary incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of permanent wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_perm
| Metric
| Legal duration of benefits for permanent incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate single worker harmonized for SIED and imputed for full world. ]]
| Work-injury
| Legal
| Benefits
| workinjury_replacement_rate_single_SIED_harmo_full
| Metric
| Multi-law and applied policy legal replacement rate for incapacity to work due to a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as a percent of labor force SIED harmonized and imputed for full world. ]]
| Work-injury
| Legal
| Inclusivity
| workinjury_coverage_SIED_harmo_full
| Metric
| Multi-law and applied legal coverage as a percent of the labor force against a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. Introduction year of first federal law. ]]
| Unemployment insurance
| First law
| Introduction
| labor_unemp_firstlaw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law program type. ]]
| Unemployment insurance
| First law
| Program type
| labor_unemp_firstlaw_programtype
| Multinomial
| Nature of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law financing mode.]]
| Unemployment insurance
| First law
| Financing
| labor_unemp_firstlaw_financing
| Multinomial
| Financing mode of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law beneficiaries.]]
| Unemployment insurance
| First law
| Coverage
| labor_unemp_firstlaw_beneficiaries
| Multinomial
| Which groups were covered by the first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law benefit duration and amount. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_duration
| String
| Written description of the maximum amount and duration of unemployment (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law family benefit. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_benefit_family
| Binary
| Any provision for family in case of unemployment
| Original CRC Data
|-
| [[Unemployment. First law group differences. ]]
| Unemployment insurance
| First law
| Inequality
| labor_unemp_firstlaw_groupdiff
| String
| Any groups excluded by race, ethnicity, place of birth, language, religion, gender, or other non-occupation-related group differences
| Original CRC Data
|-
| [[Introduction dates employment legislation]]
| Labour law
| Individual labour law
| Regulation of contract
| labor_employleg_employpro_regcontract
| Date
| The data set captures years of introduction of the first law concerning the regulation of contracts (CRC 1342)
| Original CRC Data
|-
| [[Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_string
| String
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law ]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short
| Multinomial
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short_string
| String
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[Notification of dismissal]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_not_dism
| Metric
| Measures the notifications, in the country's statutory or case law and relevant court decisions, of dismissal by third party (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_leave
| Metric
|
| Original CRC Data
|-
| [[Public holiday entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_holiday
| Metric
|
| Original CRC Data
|-
| [[Overtime premia (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
|
| Original CRC Data
|-
| [[Weekend working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_we_premia
| Metric
|
| Original CRC Data
|-
| [[Limits to overtime working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_ot_limit
| Metric
|
| Original CRC Data
|-
| [[Duration of the normal working week (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_week
| Metric
|
| Original CRC Data
|-
| [[Maximum daily working time (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_day
| Metric
|
| Original CRC Data
|-
| [[Legally mandated notice period (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_notice
| Metric
|
| Original CRC Data
|-
| [[Legally mandated redundancy compensation (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_comp
| Metric
|
| Original CRC Data
|-
| [[Law imposes procedural constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_proced
| Metric
|
| Original CRC Data
|-
| [[Law imposes substantive constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_subst
| Metric
|
| Original CRC Data
|-
| [[Reinstatement normal remedy for unfair dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_reinstate
| Metric
|
| Original CRC Data
|-
| [[Notification of dismissal (WoL, V2)]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_dism_notif
| Metric
|
| Original CRC Data
|-
| [[Notice period increases with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_notif
| Metric
|
| Original CRC Data
|-
| [[Severance/redundancy payments increase with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_pay
| Metric
|
| Original CRC Data
|-
| [[Seniority is a decisive selection criterion in case of redundancy (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_sel
| Metric
|
| Original CRC Data
|-
| [[Priority in re-employment (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_prio
| Metric
|
| Original CRC Data
|-
| [[General dismissal protection depends on the size of the enterprise (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_size
| Metric
|
| Original CRC Data
|-
| [[The law, as opposed to the contracting parties, determines the legal status of the worker (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_contract
| Metric
|
| Original CRC Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_sen_quali
| Metric
|
| Original CRC Data
|-
| [[The law prescribes special measures (e.g. affirmative action) in order to overcome labour discrimination of women (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_special_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities for men and women in terms of access to employment (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_op_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities concerning ethnicity/race in terms of access to employment (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_op_rac
| Metric
|
| Original CRC Data
|-
| [[The law prescribes special measures (e.g. affirmative action) in order to overcome labour discrimination of groups disadvantaged in terms of ethnic/racial backgrounds (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_special_rac
| Metric
|
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_pay
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities for men and women in terms of working conditions (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_cond_gend
| Metric
|
| Original CRC Data
|-
| [[The law provides for equal opportunities in terms of working conditions concerning ethnicity/race (WoL, V2)]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_discr_equ_cond_rac
| Metric
|
| Original CRC Data
|-
|}

Labour and labour market

2025-11-14T08:29:37Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator name*
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name*
! Scale*
! Short description
! Data origin*
|-
| [[Unemployment Insurance Law. Program Type.]]
| Unemployment insurance
| Legal
| Program type
| labor_unemp_type
| Multinomial
| Program type of each scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Financing Mode.]]
| Unemployment insurance
| Legal
| Financing
| labor_unemp_financing
| String
| Defines who contributes to scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate
| Metric
| Replacement rate based on average income
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate 6 Months.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate_6_months
| Metric
| Replacement rate based on average income and 6 months of unemployment spell
| Original CRC Data
|-
| [[Unemployment Insurance Law. Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_duration
| Metric
| Duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Maximum Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_max_duration
| Metric
| Maximum duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Benefit Progressivity.]]
| Unemployment insurance
| Legal
| Inequality
| labor_unemp_benefit_progressivity
| Metric
| Progressivity of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_contributions
| Metric
| Required contributions for benefit eligibility
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Reference Period.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_reference_period
| Metric
| Reference period for required contributions
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Ratio.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_ratio
| Metric
| Ratio of required contributions and reference period
| Original CRC Data
|-
| [[Legally mandated notice period]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dis_not_per
| Metric
| Measures the length of notice, in weeks, that has to be given to a worker with 3 years’ employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated redundancy compensation]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_red_com_amm
| Metric
| Measures the amount of redundancy compensation payable to a worker made redundant after 3 years of employment, measured in weeks of pay (CBR-LRI).
| CRC Compiled Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal]]
| Labour law
| Individual labour law
| Selectivity
| labor_min_qua_per
| Metric
| Measures the period of service required before a worker qualifies for general protection against unjust dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Redundancy selection]]
| Labour law
| Individual labour law
| Seniority
| labor_redund_select
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for redundancy (CBR-LRI).
| 3rd Party Data
|-
| [[Priority in re-employment]]
| Labour law
| Individual labour law
| Seniority
| labor_pri_re_emp
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for re-employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes procedural constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_pro_dis_con
| Metric
| Measures the failures, in the country's statutory or case law and relevant court decisions, to follow procedural requirements for dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes substantive constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_sub_dis_con
| Metric
| Measures the permissibilities, in the country's statutory or case law and relevant court decisions, on dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Reinstatement normal remedy for unfair dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_reinstate
| Metric
| Measures the remedies, in the country's statutory or case law and relevant court decisions, for unfair dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_ann_lea_ent
| Metric
| Measures the normal length of annual paid leave guaranteed by law or collective agreement (CBR-LRI).
| CRC Compiled Data
|-
| [[Public holiday entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_pub_hol_ent
| Metric
| Measures the normal number of paid public holidays guaranteed by law or collective agreement(CBR-LRI).
| CRC Compiled Data
|-
| [[Overtime premia]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
| Measures the normal premium for overtime working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Weekend working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_weekend_work
| Metric
| Measures the normal premium for weekend working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Limits to overtime working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_work
| Metric
| Measures the maximum weekly number of overtime hours permitted by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Duration of the normal working week]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workweek
| Metric
| Measures the maximum duration of the normal working week exclusive of overtime (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum daily working time]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workday
| Metric
| Measures the maximum number of permitted working hours in a day, taking account of rules governing rest breaks and maximum daily working time limits (CBR-LRI).
| CRC Compiled Data
|-
| [[The law determines the legal status of the worker]]
| Labour law
| Individual labour law
| Selectivity
| labor_work_def
| Metric
| Measures the kind of legal relationship in the country's statutory or case law and relevant court decisions determining the legal status of the worker (CBR-LRI).
| CRC Compiled Data
|-
| [[Part-time workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_ptemp_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment for part-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Dismissing costs for part-time workers is proportional]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_pt_dis_cost
| Metric
| Measures the proportionality in the country's statutory or case law and relevant court decisions in terms of cost of dismissing part-time vs full-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fx_limit
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions on the conclusion of a fixed-term contract (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fxemp_et
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions in equal treatment of fixed-term versus permanent workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum duration of fixed-term contracts]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_max_fx_dur
| Metric
| Measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent(CBR-LRI).
| CRC Compiled Data
|-
| [[Agency work is prohibited or strictly controlled]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_con
| Metric
| Measures the prohibition in the country's statutory or case law and relevant court decisions for agency work (CBR-LRI).
| CRC Compiled Data
|-
| [[Agency workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment of agency workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated notice period increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_notped_sen
| Metric
| Measures the strength of the law in increasing the notice periods for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Legally mandated severance compensation increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_redcomp_sen
| Metric
| Measures the strength of the law in increasing severance payments for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Seniority is a decisive redundancy selection criterion ]]
| Labour law
| Individual labour law
| Seniority
| labor_redsec_sen
| Metric
| Measures the strength of the law in taking account of seniority as a decisive redudancy selection criterion (CRC 1342).
| Original CRC Data
|-
| [[Dismissal protection depends on size of enterprise ]]
| Labour law
| Individual labour law
| Selectivity
| labor_dispro_size
| Metric
| Measures the dismissal protection in relation to size of the enterprise (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_gend
| Metric
| Measures non-discrimination based on the gender in terms of access to employment (CRC 1342).
| Original CRC Data
|-
| [[Law prescribes special measures for women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_gend
| Metric
| Measures the strength of the law in prescribing special measures for women (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_ethn
| Metric
| Measures if the law is guaranteeing non-discrimination concerning the ethnicity/race or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides regulation of special measures concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_ethn
| Metric
| Measures the strength of the law in prescribing special measures for groups discriminated against in terms of ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqpay
| Metric
| Measures wether the law is guaranteeing equal pay for equal value or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_gend
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning sex (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_ethn
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Employees enjoy right to a universal minimum wage ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_minwage
| Metric
| Measures the strength of the law in guaranteeing a minimum wage for all employees (CRC 1342).
| Original CRC Data
|-
| [[Right to unionisation ]]
| Labour law
| Collective rights
| Employee representation
| labor_union
| Metric
| Measures the protection of the right to form trade unions in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Right to collective bargaining ]]
| Labour law
| Collective rights
| Employee representation
| labor_coll_barg
| Metric
| Measures the protection of the right to collective bargaining or the right to enter into collective agreements in the country's constitution (loosely interpreted in the case of system such as the UK without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Duty to bargain ]]
| Labour law
| Collective rights
| Employee representation
| labor_duty_barg
| Metric
| Measures the employers duty of the right to reach an agreement with official collective actors in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Extension of collective agreements ]]
| Labour law
| Collective rights
| Employee representation
| labor_exten_barg
| Metric
| Measures the extension of collective agreements in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Closed shops ]]
| Labour law
| Collective rights
| Employee representation
| labor_closedshop
| Metric
| Measures the right in prohibiting/permitting pre-entry/post-entry closed shops in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination board membership ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_bmem
| Metric
| Measures the co-determination right of unions/workers in terms of board membership in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination and information/consultation of workers ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_info
| Metric
| Measures the rights of information and co-decision making of works councils or enterprise committees in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Unofficial industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_unoff_indact
| Metric
| Measures the unlawfulness of unofficial industrial action (such as unofficial or ‘wildcat’ strikes) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Political industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_polit_indact
| Metric
| Measures the unlawfulness of political industrial action (i.e. non work-related) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Secondary industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_second_indact
| Metric
| Measures the constrains on secondary industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Lockouts ]]
| Labour law
| Collective rights
| Industrial action
| labor_lockouts
| Metric
| Measures the permission of lockouts in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Right to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_right_indact
| Metric
| Measures the protection of the right to industrial action (i.e. strike, go-slow or work-to-rule) in the country's constitution or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Waiting period prior to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_wait_indact
| Metric
| Measures the requirement of a waiting period prior to industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Peace obligation ]]
| Labour law
| Collective rights
| Industrial action
| labor_peace_oblig
| Metric
| Measures the unlawfulness of strikes while peace obligation are in force in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Compulsory conciliation or arbitration ]]
| Labour law
| Collective rights
| Industrial action
| labor_comp_conc
| Metric
| Measures the right of mandate conciliation procedures or other alternative-dispute-resolution in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Replacement of striking workers ]]
| Labour law
| Collective rights
| Industrial action
| labor_replac_strike
| Metric
| Measures the prohibition of dismissal for striking workers in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Type of employment law]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ
| Multinomial
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[Standard-setting function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_stand_sett_func
| Metric
| Measures the level of general worker protection in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Privileging function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_priv_func
| Metric
| Measures the level of norm-related privileging in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Equalising function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_equa_func
| Metric
| Measures the level of norm-related equalising in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Work-injury. Introduction year of first federal law. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Introduction year of first law as independent nation-state. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstnat
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law program type. ]]
| Work-injury
| First law
| Program type
| labor_workinjury_firstlaw_programtype
| Multinomial
| Either employer-liability (=1) or a risk-pooling (=2), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First risk pooling law. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_firstins
| Date
| Year of first law that involved risk-pooling, either as insurance or fund (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First establishment of a fund. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_fund
| Date
| Year of first law establishing a provident fund for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First instance of social insurance. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_socins
| Date
| Year of first law establishing social insurance for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar
| Date
| Year of law first covering any white-collar, commercial workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar_fullcoverage
| Date
| Year of law first covering all* white-collar workers (*defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar
| Date
| Year of law first covering any segment of the blue-collar work-force (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar_fullcoverage
| Date
| Year of law first covering all* blue-collar industrial workers (*not counting agriculture; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first full-coverage social insurance. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstins_bluecollar_fullcoverage
| Date
| Year of law first covering all blue-collar industrial workers with social insurance
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers
| Date
| Year of first law covering some or all agricultural workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers_fullcoverage
| Date
| Year of law first covering all* agricultural workers (*not counting farmers; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First-law according to US Social Security Administration. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw_sspw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate temporary. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_temp
| Metric
| Wage replacement rate for incapacity to work for a period of 6 months, with expected return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate permanent. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_perm
| Metric
| Wage replacement rate for incapacity to work for a period of 12 months, unexpected to return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as percent of labor force. ]]
| Work-injury
| Legal
| Inclusivity
| labor_workinjury_coverage
| Metric
| Percentage of the labor force legally covered by main work-injury law, and all subsidiary laws and exceptions (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of temporary wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_temp
| Metric
| Legal duration of benefits for temporary incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of permanent wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_perm
| Metric
| Legal duration of benefits for permanent incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate single worker harmonized for SIED and imputed for full world. ]]
| Work-injury
| Legal
| Benefits
| workinjury_replacement_rate_single_SIED_harmo_full
| Metric
| Multi-law and applied policy legal replacement rate for incapacity to work due to a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as a percent of labor force SIED harmonized and imputed for full world. ]]
| Work-injury
| Legal
| Inclusivity
| workinjury_coverage_SIED_harmo_full
| Metric
| Multi-law and applied legal coverage as a percent of the labor force against a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. Introduction year of first federal law. ]]
| Unemployment insurance
| First law
| Introduction
| labor_unemp_firstlaw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law program type. ]]
| Unemployment insurance
| First law
| Program type
| labor_unemp_firstlaw_programtype
| Multinomial
| Nature of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law financing mode.]]
| Unemployment insurance
| First law
| Financing
| labor_unemp_firstlaw_financing
| Multinomial
| Financing mode of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law beneficiaries.]]
| Unemployment insurance
| First law
| Coverage
| labor_unemp_firstlaw_beneficiaries
| Multinomial
| Which groups were covered by the first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law benefit duration and amount. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_duration
| String
| Written description of the maximum amount and duration of unemployment (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law family benefit. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_benefit_family
| Binary
| Any provision for family in case of unemployment
| Original CRC Data
|-
| [[Unemployment. First law group differences. ]]
| Unemployment insurance
| First law
| Inequality
| labor_unemp_firstlaw_groupdiff
| String
| Any groups excluded by race, ethnicity, place of birth, language, religion, gender, or other non-occupation-related group differences
| Original CRC Data
|-
| [[Introduction dates employment legislation]]
| Labour law
| Individual labour law
| Regulation of contract
| labor_employleg_employpro_regcontract
| Date
| The data set captures years of introduction of the first law concerning the regulation of contracts (CRC 1342)
| Original CRC Data
|-
| [[Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_string
| String
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law ]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short
| Multinomial
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short_string
| String
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[Notification of dismissal]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_not_dism
| Metric
| Measures the notifications, in the country's statutory or case law and relevant court decisions, of dismissal by third party (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_leave
| Metric
|
| Original CRC Data
|-
| [[Public holiday entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_holiday
| Metric
|
| Original CRC Data
|-
| [[Overtime premia (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
|
| Original CRC Data
|-
| [[Weekend working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_we_premia
| Metric
|
| Original CRC Data
|-
| [[Limits to overtime working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_ot_limit
| Metric
|
| Original CRC Data
|-
| [[Duration of the normal working week (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_week
| Metric
|
| Original CRC Data
|-
| [[Maximum daily working time (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_day
| Metric
|
| Original CRC Data
|-
| [[Legally mandated notice period (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_notice
| Metric
|
| Original CRC Data
|-
| [[Legally mandated redundancy compensation (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_comp
| Metric
|
| Original CRC Data
|-
| [[Law imposes procedural constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_proced
| Metric
|
| Original CRC Data
|-
| [[Law imposes substantive constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_subst
| Metric
|
| Original CRC Data
|-
| [[Reinstatement normal remedy for unfair dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_reinstate
| Metric
|
| Original CRC Data
|-
| [[Notification of dismissal (WoL, V2)]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_dism_notif
| Metric
|
| Original CRC Data
|-
| [[Notice period increases with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_notif
| Metric
|
| Original CRC Data
|-
| [[Severance/redundancy payments increase with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_pay
| Metric
|
| Original CRC Data
|-
| [[Seniority is a decisive selection criterion in case of redundancy (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_sel
| Metric
|
| Original CRC Data
|-
| [[Priority in re-employment (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_prio
| Metric
|
| Original CRC Data
|-
| [[General dismissal protection depends on the size of the enterprise (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_size
| Metric
|
| Original CRC Data
|-
| [[The law, as opposed to the contracting parties, determines the legal status of the worker (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_contract
| Metric
|
| Original CRC Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_sen_quali
| Metric
|
| Original CRC Data
|-
|}

Labour and labour market

2025-11-14T08:26:56Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator name*
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name*
! Scale*
! Short description
! Data origin*
|-
| [[Unemployment Insurance Law. Program Type.]]
| Unemployment insurance
| Legal
| Program type
| labor_unemp_type
| Multinomial
| Program type of each scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Financing Mode.]]
| Unemployment insurance
| Legal
| Financing
| labor_unemp_financing
| String
| Defines who contributes to scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate
| Metric
| Replacement rate based on average income
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate 6 Months.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate_6_months
| Metric
| Replacement rate based on average income and 6 months of unemployment spell
| Original CRC Data
|-
| [[Unemployment Insurance Law. Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_duration
| Metric
| Duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Maximum Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_max_duration
| Metric
| Maximum duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Benefit Progressivity.]]
| Unemployment insurance
| Legal
| Inequality
| labor_unemp_benefit_progressivity
| Metric
| Progressivity of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_contributions
| Metric
| Required contributions for benefit eligibility
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Reference Period.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_reference_period
| Metric
| Reference period for required contributions
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Ratio.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_ratio
| Metric
| Ratio of required contributions and reference period
| Original CRC Data
|-
| [[Legally mandated notice period]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dis_not_per
| Metric
| Measures the length of notice, in weeks, that has to be given to a worker with 3 years’ employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated redundancy compensation]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_red_com_amm
| Metric
| Measures the amount of redundancy compensation payable to a worker made redundant after 3 years of employment, measured in weeks of pay (CBR-LRI).
| CRC Compiled Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal]]
| Labour law
| Individual labour law
| Selectivity
| labor_min_qua_per
| Metric
| Measures the period of service required before a worker qualifies for general protection against unjust dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Redundancy selection]]
| Labour law
| Individual labour law
| Seniority
| labor_redund_select
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for redundancy (CBR-LRI).
| 3rd Party Data
|-
| [[Priority in re-employment]]
| Labour law
| Individual labour law
| Seniority
| labor_pri_re_emp
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for re-employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes procedural constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_pro_dis_con
| Metric
| Measures the failures, in the country's statutory or case law and relevant court decisions, to follow procedural requirements for dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes substantive constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_sub_dis_con
| Metric
| Measures the permissibilities, in the country's statutory or case law and relevant court decisions, on dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Reinstatement normal remedy for unfair dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_reinstate
| Metric
| Measures the remedies, in the country's statutory or case law and relevant court decisions, for unfair dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_ann_lea_ent
| Metric
| Measures the normal length of annual paid leave guaranteed by law or collective agreement (CBR-LRI).
| CRC Compiled Data
|-
| [[Public holiday entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_pub_hol_ent
| Metric
| Measures the normal number of paid public holidays guaranteed by law or collective agreement(CBR-LRI).
| CRC Compiled Data
|-
| [[Overtime premia]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
| Measures the normal premium for overtime working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Weekend working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_weekend_work
| Metric
| Measures the normal premium for weekend working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Limits to overtime working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_work
| Metric
| Measures the maximum weekly number of overtime hours permitted by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Duration of the normal working week]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workweek
| Metric
| Measures the maximum duration of the normal working week exclusive of overtime (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum daily working time]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workday
| Metric
| Measures the maximum number of permitted working hours in a day, taking account of rules governing rest breaks and maximum daily working time limits (CBR-LRI).
| CRC Compiled Data
|-
| [[The law determines the legal status of the worker]]
| Labour law
| Individual labour law
| Selectivity
| labor_work_def
| Metric
| Measures the kind of legal relationship in the country's statutory or case law and relevant court decisions determining the legal status of the worker (CBR-LRI).
| CRC Compiled Data
|-
| [[Part-time workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_ptemp_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment for part-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Dismissing costs for part-time workers is proportional]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_pt_dis_cost
| Metric
| Measures the proportionality in the country's statutory or case law and relevant court decisions in terms of cost of dismissing part-time vs full-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fx_limit
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions on the conclusion of a fixed-term contract (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fxemp_et
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions in equal treatment of fixed-term versus permanent workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum duration of fixed-term contracts]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_max_fx_dur
| Metric
| Measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent(CBR-LRI).
| CRC Compiled Data
|-
| [[Agency work is prohibited or strictly controlled]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_con
| Metric
| Measures the prohibition in the country's statutory or case law and relevant court decisions for agency work (CBR-LRI).
| CRC Compiled Data
|-
| [[Agency workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment of agency workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated notice period increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_notped_sen
| Metric
| Measures the strength of the law in increasing the notice periods for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Legally mandated severance compensation increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_redcomp_sen
| Metric
| Measures the strength of the law in increasing severance payments for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Seniority is a decisive redundancy selection criterion ]]
| Labour law
| Individual labour law
| Seniority
| labor_redsec_sen
| Metric
| Measures the strength of the law in taking account of seniority as a decisive redudancy selection criterion (CRC 1342).
| Original CRC Data
|-
| [[Dismissal protection depends on size of enterprise ]]
| Labour law
| Individual labour law
| Selectivity
| labor_dispro_size
| Metric
| Measures the dismissal protection in relation to size of the enterprise (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_gend
| Metric
| Measures non-discrimination based on the gender in terms of access to employment (CRC 1342).
| Original CRC Data
|-
| [[Law prescribes special measures for women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_gend
| Metric
| Measures the strength of the law in prescribing special measures for women (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_ethn
| Metric
| Measures if the law is guaranteeing non-discrimination concerning the ethnicity/race or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides regulation of special measures concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_ethn
| Metric
| Measures the strength of the law in prescribing special measures for groups discriminated against in terms of ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqpay
| Metric
| Measures wether the law is guaranteeing equal pay for equal value or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_gend
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning sex (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_ethn
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Employees enjoy right to a universal minimum wage ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_minwage
| Metric
| Measures the strength of the law in guaranteeing a minimum wage for all employees (CRC 1342).
| Original CRC Data
|-
| [[Right to unionisation ]]
| Labour law
| Collective rights
| Employee representation
| labor_union
| Metric
| Measures the protection of the right to form trade unions in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Right to collective bargaining ]]
| Labour law
| Collective rights
| Employee representation
| labor_coll_barg
| Metric
| Measures the protection of the right to collective bargaining or the right to enter into collective agreements in the country's constitution (loosely interpreted in the case of system such as the UK without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Duty to bargain ]]
| Labour law
| Collective rights
| Employee representation
| labor_duty_barg
| Metric
| Measures the employers duty of the right to reach an agreement with official collective actors in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Extension of collective agreements ]]
| Labour law
| Collective rights
| Employee representation
| labor_exten_barg
| Metric
| Measures the extension of collective agreements in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Closed shops ]]
| Labour law
| Collective rights
| Employee representation
| labor_closedshop
| Metric
| Measures the right in prohibiting/permitting pre-entry/post-entry closed shops in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination board membership ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_bmem
| Metric
| Measures the co-determination right of unions/workers in terms of board membership in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination and information/consultation of workers ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_info
| Metric
| Measures the rights of information and co-decision making of works councils or enterprise committees in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Unofficial industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_unoff_indact
| Metric
| Measures the unlawfulness of unofficial industrial action (such as unofficial or ‘wildcat’ strikes) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Political industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_polit_indact
| Metric
| Measures the unlawfulness of political industrial action (i.e. non work-related) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Secondary industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_second_indact
| Metric
| Measures the constrains on secondary industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Lockouts ]]
| Labour law
| Collective rights
| Industrial action
| labor_lockouts
| Metric
| Measures the permission of lockouts in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Right to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_right_indact
| Metric
| Measures the protection of the right to industrial action (i.e. strike, go-slow or work-to-rule) in the country's constitution or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Waiting period prior to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_wait_indact
| Metric
| Measures the requirement of a waiting period prior to industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Peace obligation ]]
| Labour law
| Collective rights
| Industrial action
| labor_peace_oblig
| Metric
| Measures the unlawfulness of strikes while peace obligation are in force in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Compulsory conciliation or arbitration ]]
| Labour law
| Collective rights
| Industrial action
| labor_comp_conc
| Metric
| Measures the right of mandate conciliation procedures or other alternative-dispute-resolution in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Replacement of striking workers ]]
| Labour law
| Collective rights
| Industrial action
| labor_replac_strike
| Metric
| Measures the prohibition of dismissal for striking workers in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Type of employment law]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ
| Multinomial
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[Standard-setting function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_stand_sett_func
| Metric
| Measures the level of general worker protection in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Privileging function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_priv_func
| Metric
| Measures the level of norm-related privileging in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Equalising function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_equa_func
| Metric
| Measures the level of norm-related equalising in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Work-injury. Introduction year of first federal law. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Introduction year of first law as independent nation-state. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstnat
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law program type. ]]
| Work-injury
| First law
| Program type
| labor_workinjury_firstlaw_programtype
| Multinomial
| Either employer-liability (=1) or a risk-pooling (=2), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First risk pooling law. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_firstins
| Date
| Year of first law that involved risk-pooling, either as insurance or fund (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First establishment of a fund. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_fund
| Date
| Year of first law establishing a provident fund for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First instance of social insurance. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_socins
| Date
| Year of first law establishing social insurance for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar
| Date
| Year of law first covering any white-collar, commercial workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar_fullcoverage
| Date
| Year of law first covering all* white-collar workers (*defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar
| Date
| Year of law first covering any segment of the blue-collar work-force (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar_fullcoverage
| Date
| Year of law first covering all* blue-collar industrial workers (*not counting agriculture; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first full-coverage social insurance. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstins_bluecollar_fullcoverage
| Date
| Year of law first covering all blue-collar industrial workers with social insurance
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers
| Date
| Year of first law covering some or all agricultural workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers_fullcoverage
| Date
| Year of law first covering all* agricultural workers (*not counting farmers; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First-law according to US Social Security Administration. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw_sspw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate temporary. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_temp
| Metric
| Wage replacement rate for incapacity to work for a period of 6 months, with expected return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate permanent. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_perm
| Metric
| Wage replacement rate for incapacity to work for a period of 12 months, unexpected to return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as percent of labor force. ]]
| Work-injury
| Legal
| Inclusivity
| labor_workinjury_coverage
| Metric
| Percentage of the labor force legally covered by main work-injury law, and all subsidiary laws and exceptions (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of temporary wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_temp
| Metric
| Legal duration of benefits for temporary incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of permanent wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_perm
| Metric
| Legal duration of benefits for permanent incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate single worker harmonized for SIED and imputed for full world. ]]
| Work-injury
| Legal
| Benefits
| workinjury_replacement_rate_single_SIED_harmo_full
| Metric
| Multi-law and applied policy legal replacement rate for incapacity to work due to a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as a percent of labor force SIED harmonized and imputed for full world. ]]
| Work-injury
| Legal
| Inclusivity
| workinjury_coverage_SIED_harmo_full
| Metric
| Multi-law and applied legal coverage as a percent of the labor force against a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. Introduction year of first federal law. ]]
| Unemployment insurance
| First law
| Introduction
| labor_unemp_firstlaw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law program type. ]]
| Unemployment insurance
| First law
| Program type
| labor_unemp_firstlaw_programtype
| Multinomial
| Nature of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law financing mode.]]
| Unemployment insurance
| First law
| Financing
| labor_unemp_firstlaw_financing
| Multinomial
| Financing mode of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law beneficiaries.]]
| Unemployment insurance
| First law
| Coverage
| labor_unemp_firstlaw_beneficiaries
| Multinomial
| Which groups were covered by the first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law benefit duration and amount. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_duration
| String
| Written description of the maximum amount and duration of unemployment (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law family benefit. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_benefit_family
| Binary
| Any provision for family in case of unemployment
| Original CRC Data
|-
| [[Unemployment. First law group differences. ]]
| Unemployment insurance
| First law
| Inequality
| labor_unemp_firstlaw_groupdiff
| String
| Any groups excluded by race, ethnicity, place of birth, language, religion, gender, or other non-occupation-related group differences
| Original CRC Data
|-
| [[Introduction dates employment legislation]]
| Labour law
| Individual labour law
| Regulation of contract
| labor_employleg_employpro_regcontract
| Date
| The data set captures years of introduction of the first law concerning the regulation of contracts (CRC 1342)
| Original CRC Data
|-
| [[Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_string
| String
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law ]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short
| Multinomial
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short_string
| String
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[Notification of dismissal]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_not_dism
| Metric
| Measures the notifications, in the country's statutory or case law and relevant court decisions, of dismissal by third party (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_leave
| Metric
|
| Original CRC Data
|-
| [[Public holiday entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_holiday
| Metric
|
| Original CRC Data
|-
| [[Overtime premia (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
|
| Original CRC Data
|-
| [[Weekend working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_we_premia
| Metric
|
| Original CRC Data
|-
| [[Limits to overtime working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_ot_limit
| Metric
|
| Original CRC Data
|-
| [[Duration of the normal working week (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_week
| Metric
|
| Original CRC Data
|-
| [[Maximum daily working time (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_day
| Metric
|
| Original CRC Data
|-
| [[Legally mandated notice period (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_notice
| Metric
|
| Original CRC Data
|-
| [[Legally mandated redundancy compensation (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_comp
| Metric
|
| Original CRC Data
|-
| [[Law imposes procedural constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_proced
| Metric
|
| Original CRC Data
|-
| [[Law imposes substantive constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_subst
| Metric
|
| Original CRC Data
|-
| [[Reinstatement normal remedy for unfair dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_reinstate
| Metric
|
| Original CRC Data
|-
| [[Notification of dismissal (WoL, V2)]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_dism_notif
| Metric
|
|-
| Original CRC Data
| [[Notice period increases with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_notif
| Metric
|
| Original CRC Data
|-
| [[Severance/redundancy payments increase with seniority (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_pay
| Metric
|
| Original CRC Data
|-
| [[Seniority is a decisive selection criterion in case of redundancy (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_sel
| Metric
|
|-
| Original CRC Data
| [[Priority in re-employment (WoL, V2)]]
| Labour law
| Individual labour law
| Seniority
| labor_priv_sen_prio
| Metric
|
| Original CRC Data
|-
| [[General dismissal protection depends on the size of the enterprise (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_size
| Metric
|
| Original CRC Data
|-
| [[The law, as opposed to the contracting parties, determines the legal status of the worker (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_contract
| Metric
|
| Original CRC Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Selectivity
| labor_priv_sen_quali
| Metric
|
| Original CRC Data
|-
|}

Labour and labour market

2025-11-13T11:48:38Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator name*
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name*
! Scale*
! Short description
! Data origin*
|-
| [[Unemployment Insurance Law. Program Type.]]
| Unemployment insurance
| Legal
| Program type
| labor_unemp_type
| Multinomial
| Program type of each scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Financing Mode.]]
| Unemployment insurance
| Legal
| Financing
| labor_unemp_financing
| String
| Defines who contributes to scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate
| Metric
| Replacement rate based on average income
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate 6 Months.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_rate_6_months
| Metric
| Replacement rate based on average income and 6 months of unemployment spell
| Original CRC Data
|-
| [[Unemployment Insurance Law. Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_duration
| Metric
| Duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Maximum Duration of Benefits.]]
| Unemployment insurance
| Legal
| Benefits
| labor_unemp_benefit_max_duration
| Metric
| Maximum duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Benefit Progressivity.]]
| Unemployment insurance
| Legal
| Inequality
| labor_unemp_benefit_progressivity
| Metric
| Progressivity of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_contributions
| Metric
| Required contributions for benefit eligibility
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Reference Period.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_reference_period
| Metric
| Reference period for required contributions
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Ratio.]]
| Unemployment insurance
| Legal
| Eligibility
| labor_unemp_eligibility_ratio
| Metric
| Ratio of required contributions and reference period
| Original CRC Data
|-
| [[Legally mandated notice period]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dis_not_per
| Metric
| Measures the length of notice, in weeks, that has to be given to a worker with 3 years’ employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated redundancy compensation]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_red_com_amm
| Metric
| Measures the amount of redundancy compensation payable to a worker made redundant after 3 years of employment, measured in weeks of pay (CBR-LRI).
| CRC Compiled Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal]]
| Labour law
| Individual labour law
| Selectivity
| labor_min_qua_per
| Metric
| Measures the period of service required before a worker qualifies for general protection against unjust dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Redundancy selection]]
| Labour law
| Individual labour law
| Seniority
| labor_redund_select
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for redundancy (CBR-LRI).
| 3rd Party Data
|-
| [[Priority in re-employment]]
| Labour law
| Individual labour law
| Seniority
| labor_pri_re_emp
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for re-employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes procedural constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_pro_dis_con
| Metric
| Measures the failures, in the country's statutory or case law and relevant court decisions, to follow procedural requirements for dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes substantive constraints on dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_sub_dis_con
| Metric
| Measures the permissibilities, in the country's statutory or case law and relevant court decisions, on dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Reinstatement normal remedy for unfair dismissal]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_reinstate
| Metric
| Measures the remedies, in the country's statutory or case law and relevant court decisions, for unfair dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_ann_lea_ent
| Metric
| Measures the normal length of annual paid leave guaranteed by law or collective agreement (CBR-LRI).
| CRC Compiled Data
|-
| [[Public holiday entitlements]]
| Labour law
| Individual labour law
| Working time restriction
| labor_pub_hol_ent
| Metric
| Measures the normal number of paid public holidays guaranteed by law or collective agreement(CBR-LRI).
| CRC Compiled Data
|-
| [[Overtime premia]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
| Measures the normal premium for overtime working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Weekend working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_weekend_work
| Metric
| Measures the normal premium for weekend working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Limits to overtime working]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_work
| Metric
| Measures the maximum weekly number of overtime hours permitted by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Duration of the normal working week]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workweek
| Metric
| Measures the maximum duration of the normal working week exclusive of overtime (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum daily working time]]
| Labour law
| Individual labour law
| Working time restriction
| labor_workday
| Metric
| Measures the maximum number of permitted working hours in a day, taking account of rules governing rest breaks and maximum daily working time limits (CBR-LRI).
| CRC Compiled Data
|-
| [[The law determines the legal status of the worker]]
| Labour law
| Individual labour law
| Selectivity
| labor_work_def
| Metric
| Measures the kind of legal relationship in the country's statutory or case law and relevant court decisions determining the legal status of the worker (CBR-LRI).
| CRC Compiled Data
|-
| [[Part-time workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_ptemp_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment for part-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Dismissing costs for part-time workers is proportional]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_pt_dis_cost
| Metric
| Measures the proportionality in the country's statutory or case law and relevant court decisions in terms of cost of dismissing part-time vs full-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fx_limit
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions on the conclusion of a fixed-term contract (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_fxemp_et
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions in equal treatment of fixed-term versus permanent workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum duration of fixed-term contracts]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_max_fx_dur
| Metric
| Measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent(CBR-LRI).
| CRC Compiled Data
|-
| [[Agency work is prohibited or strictly controlled]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_con
| Metric
| Measures the prohibition in the country's statutory or case law and relevant court decisions for agency work (CBR-LRI).
| CRC Compiled Data
|-
| [[Agency workers have the right to equal treatment]]
| Labour law
| Individual labour law
| Non-standard employment
| labor_awork_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment of agency workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated notice period increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_notped_sen
| Metric
| Measures the strength of the law in increasing the notice periods for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Legally mandated severance compensation increases with seniority]]
| Labour law
| Individual labour law
| Seniority
| labor_redcomp_sen
| Metric
| Measures the strength of the law in increasing severance payments for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Seniority is a decisive redundancy selection criterion ]]
| Labour law
| Individual labour law
| Seniority
| labor_redsec_sen
| Metric
| Measures the strength of the law in taking account of seniority as a decisive redudancy selection criterion (CRC 1342).
| Original CRC Data
|-
| [[Dismissal protection depends on size of enterprise ]]
| Labour law
| Individual labour law
| Selectivity
| labor_dispro_size
| Metric
| Measures the dismissal protection in relation to size of the enterprise (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_gend
| Metric
| Measures non-discrimination based on the gender in terms of access to employment (CRC 1342).
| Original CRC Data
|-
| [[Law prescribes special measures for women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_gend
| Metric
| Measures the strength of the law in prescribing special measures for women (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqacc_ethn
| Metric
| Measures if the law is guaranteeing non-discrimination concerning the ethnicity/race or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides regulation of special measures concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_posdis_ethn
| Metric
| Measures the strength of the law in prescribing special measures for groups discriminated against in terms of ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqpay
| Metric
| Measures wether the law is guaranteeing equal pay for equal value or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions for men and women ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_gend
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning sex (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions concerning ethnicity/race ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_eqwc_ethn
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Employees enjoy right to a universal minimum wage ]]
| Labour law
| Individual labour law
| Antidiscrimination and Equity
| labor_minwage
| Metric
| Measures the strength of the law in guaranteeing a minimum wage for all employees (CRC 1342).
| Original CRC Data
|-
| [[Right to unionisation ]]
| Labour law
| Collective rights
| Employee representation
| labor_union
| Metric
| Measures the protection of the right to form trade unions in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Right to collective bargaining ]]
| Labour law
| Collective rights
| Employee representation
| labor_coll_barg
| Metric
| Measures the protection of the right to collective bargaining or the right to enter into collective agreements in the country's constitution (loosely interpreted in the case of system such as the UK without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Duty to bargain ]]
| Labour law
| Collective rights
| Employee representation
| labor_duty_barg
| Metric
| Measures the employers duty of the right to reach an agreement with official collective actors in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Extension of collective agreements ]]
| Labour law
| Collective rights
| Employee representation
| labor_exten_barg
| Metric
| Measures the extension of collective agreements in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Closed shops ]]
| Labour law
| Collective rights
| Employee representation
| labor_closedshop
| Metric
| Measures the right in prohibiting/permitting pre-entry/post-entry closed shops in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination board membership ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_bmem
| Metric
| Measures the co-determination right of unions/workers in terms of board membership in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination and information/consultation of workers ]]
| Labour law
| Collective rights
| Employee representation
| labor_codeterm_info
| Metric
| Measures the rights of information and co-decision making of works councils or enterprise committees in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Unofficial industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_unoff_indact
| Metric
| Measures the unlawfulness of unofficial industrial action (such as unofficial or ‘wildcat’ strikes) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Political industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_polit_indact
| Metric
| Measures the unlawfulness of political industrial action (i.e. non work-related) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Secondary industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_second_indact
| Metric
| Measures the constrains on secondary industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Lockouts ]]
| Labour law
| Collective rights
| Industrial action
| labor_lockouts
| Metric
| Measures the permission of lockouts in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Right to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_right_indact
| Metric
| Measures the protection of the right to industrial action (i.e. strike, go-slow or work-to-rule) in the country's constitution or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Waiting period prior to industrial action ]]
| Labour law
| Collective rights
| Industrial action
| labor_wait_indact
| Metric
| Measures the requirement of a waiting period prior to industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Peace obligation ]]
| Labour law
| Collective rights
| Industrial action
| labor_peace_oblig
| Metric
| Measures the unlawfulness of strikes while peace obligation are in force in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Compulsory conciliation or arbitration ]]
| Labour law
| Collective rights
| Industrial action
| labor_comp_conc
| Metric
| Measures the right of mandate conciliation procedures or other alternative-dispute-resolution in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Replacement of striking workers ]]
| Labour law
| Collective rights
| Industrial action
| labor_replac_strike
| Metric
| Measures the prohibition of dismissal for striking workers in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Type of employment law]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ
| Multinomial
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[Standard-setting function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_stand_sett_func
| Metric
| Measures the level of general worker protection in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Privileging function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_priv_func
| Metric
| Measures the level of norm-related privileging in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Equalising function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_equa_func
| Metric
| Measures the level of norm-related equalising in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Work-injury. Introduction year of first federal law. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Introduction year of first law as independent nation-state. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstnat
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law program type. ]]
| Work-injury
| First law
| Program type
| labor_workinjury_firstlaw_programtype
| Multinomial
| Either employer-liability (=1) or a risk-pooling (=2), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First risk pooling law. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_firstins
| Date
| Year of first law that involved risk-pooling, either as insurance or fund (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First establishment of a fund. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_fund
| Date
| Year of first law establishing a provident fund for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First instance of social insurance. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_socins
| Date
| Year of first law establishing social insurance for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar
| Date
| Year of law first covering any white-collar, commercial workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar_fullcoverage
| Date
| Year of law first covering all* white-collar workers (*defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar
| Date
| Year of law first covering any segment of the blue-collar work-force (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar_fullcoverage
| Date
| Year of law first covering all* blue-collar industrial workers (*not counting agriculture; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first full-coverage social insurance. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstins_bluecollar_fullcoverage
| Date
| Year of law first covering all blue-collar industrial workers with social insurance
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers
| Date
| Year of first law covering some or all agricultural workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers_fullcoverage
| Date
| Year of law first covering all* agricultural workers (*not counting farmers; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First-law according to US Social Security Administration. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw_sspw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate temporary. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_temp
| Metric
| Wage replacement rate for incapacity to work for a period of 6 months, with expected return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate permanent. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_perm
| Metric
| Wage replacement rate for incapacity to work for a period of 12 months, unexpected to return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as percent of labor force. ]]
| Work-injury
| Legal
| Inclusivity
| labor_workinjury_coverage
| Metric
| Percentage of the labor force legally covered by main work-injury law, and all subsidiary laws and exceptions (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of temporary wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_temp
| Metric
| Legal duration of benefits for temporary incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of permanent wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_perm
| Metric
| Legal duration of benefits for permanent incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate single worker harmonized for SIED and imputed for full world. ]]
| Work-injury
| Legal
| Benefits
| workinjury_replacement_rate_single_SIED_harmo_full
| Metric
| Multi-law and applied policy legal replacement rate for incapacity to work due to a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as a percent of labor force SIED harmonized and imputed for full world. ]]
| Work-injury
| Legal
| Inclusivity
| workinjury_coverage_SIED_harmo_full
| Metric
| Multi-law and applied legal coverage as a percent of the labor force against a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. Introduction year of first federal law. ]]
| Unemployment insurance
| First law
| Introduction
| labor_unemp_firstlaw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law program type. ]]
| Unemployment insurance
| First law
| Program type
| labor_unemp_firstlaw_programtype
| Multinomial
| Nature of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law financing mode.]]
| Unemployment insurance
| First law
| Financing
| labor_unemp_firstlaw_financing
| Multinomial
| Financing mode of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law beneficiaries.]]
| Unemployment insurance
| First law
| Coverage
| labor_unemp_firstlaw_beneficiaries
| Multinomial
| Which groups were covered by the first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law benefit duration and amount. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_duration
| String
| Written description of the maximum amount and duration of unemployment (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law family benefit. ]]
| Unemployment insurance
| First law
| Benefits
| labor_unemp_firstlaw_benefit_family
| Binary
| Any provision for family in case of unemployment
| Original CRC Data
|-
| [[Unemployment. First law group differences. ]]
| Unemployment insurance
| First law
| Inequality
| labor_unemp_firstlaw_groupdiff
| String
| Any groups excluded by race, ethnicity, place of birth, language, religion, gender, or other non-occupation-related group differences
| Original CRC Data
|-
| [[Introduction dates employment legislation]]
| Labour law
| Individual labour law
| Regulation of contract
| labor_employleg_employpro_regcontract
| Date
| The data set captures years of introduction of the first law concerning the regulation of contracts (CRC 1342)
| Original CRC Data
|-
| [[Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_string
| String
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law ]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short
| Multinomial
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law type
| labor_emplaw_typ_short_string
| String
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[Notification of dismissal]]
| Labour Law
| Individual labour law
| Dismissal protection
| labor_not_dism
| Metric
| Measures the notifications, in the country's statutory or case law and relevant court decisions, of dismissal by third party (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_leave
| Metric
|
| Original CRC Data
|-
| [[Public holiday entitlements (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_holiday
| Metric
|
| Original CRC Data
|-
| [[Overtime premia (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_overt_premia
| Metric
|
| Original CRC Data
|-
| [[Weekend working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_we_premia
| Metric
|
| Original CRC Data
|-
| [[Limits to overtime working (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_ot_limit
| Metric
|
| Original CRC Data
|-
| [[Duration of the normal working week (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_week
| Metric
|
| Original CRC Data
|-
| [[Maximum daily working time (WoL, V2)]]
| Labour law
| Individual labour law
| Working time restriction
| labor_time_day
| Metric
|
| Original CRC Data
|-
| [[Legally mandated notice period (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_notice
| Metric
|
| Original CRC Data
|-
| [[Legally mandated redundancy compensation (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_comp
| Metric
|
| Original CRC Data
|-
| [[Law imposes procedural constraints on dismissal (WoL, V2)]]
| Labour law
| Individual labour law
| Dismissal protection
| labor_dism_constr_proced
| Metric
|
| Original CRC Data
|-
|}

Labour and labour market

2025-02-10T14:40:59Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator name*
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name*
! Scale*
! Short description
! Data origin*
|-
| [[Unemployment Insurance Law. Program Type.]]
| Unemployment Insurance
| Legal
| Program type
| labor_unemp_type
| Multinomial
| Program type of each scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Financing Mode.]]
| Unemployment Insurance
| Legal
| Financing
| labor_unemp_financing
| String
| Defines who contributes to scheme
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate.]]
| Unemployment Insurance
| Legal
| Benefits
| labor_unemp_benefit_rate
| Metric
| Replacement rate based on average income
| Original CRC Data
|-
| [[Unemployment Insurance Law. Average Replacement Rate 6 Months.]]
| Unemployment Insurance
| Legal
| Benefits
| labor_unemp_benefit_rate_6_months
| Metric
| Replacement rate based on average income and 6 months of unemployment spell
| Original CRC Data
|-
| [[Unemployment Insurance Law. Duration of Benefits.]]
| Unemployment Insurance
| Legal
| Benefits
| labor_unemp_benefit_duration
| Metric
| Duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Maximum Duration of Benefits.]]
| Unemployment Insurance
| Legal
| Benefits
| labor_unemp_benefit_max_duration
| Metric
| Maximum duration of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Benefit Progressivity.]]
| Unemployment Insurance
| Legal
| Inequality
| labor_unemp_benefit_progressivity
| Metric
| Progressivity of unemployment benefits
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions.]]
| Unemployment Insurance
| Legal
| Eligibility
| labor_unemp_eligibility_contributions
| Metric
| Required contributions for benefit eligibility
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Reference Period.]]
| Unemployment Insurance
| Legal
| Eligibility
| labor_unemp_eligibility_reference_period
| Metric
| Reference period for required contributions
| Original CRC Data
|-
| [[Unemployment Insurance Law. Required Contributions Ratio.]]
| Unemployment Insurance
| Legal
| Eligibility
| labor_unemp_eligibility_ratio
| Metric
| Ratio of required contributions and reference period
| Original CRC Data
|-
| [[Legally mandated notice period]]
| Standard-setting
| Dismissal protection
| Duration
| labor_dis_not_per
| Metric
| Measures the length of notice, in weeks, that has to be given to a worker with 3 years’ employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated redundancy compensation]]
| Standard-setting
| Dismissal protection
| Amount
| labor_red_com_amm
| Metric
| Measures the amount of redundancy compensation payable to a worker made redundant after 3 years of employment, measured in weeks of pay (CBR-LRI).
| CRC Compiled Data
|-
| [[Minimum qualifying period of service for normal case of unjust dismissal]]
| Privileging
| Selectivity
| Duration
| labor_min_qua_per
| Metric
| Measures the period of service required before a worker qualifies for general protection against unjust dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes procedural constraints on dismissal]]
| Standard-setting
| Dismissal protection
| Procedure
| labor_pro_dis_con
| Metric
| Measures the failures, in the country's statutory or case law and relevant court decisions, to follow procedural requirements for dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Law imposes substantive constraints on dismissal]]
| Standard-setting
| Dismissal protection
| Procedure
| labor_sub_dis_con
| Metric
| Measures the permissibilities, in the country's statutory or case law and relevant court decisions, on dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Reinstatement normal remedy for unfair dismissal]]
| Standard-setting
| Dismissal protection
| Procedure
| labor_reinstate
| Metric
| Measures the remedies, in the country's statutory or case law and relevant court decisions, for unfair dismissal (CBR-LRI).
| CRC Compiled Data
|-
| [[Redundancy selection]]
| Privileging
| Seniority
| Procedure
| labor_redund_select
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for redundancy (CBR-LRI).
| 3rd Party Data
|-
| [[Priority in re-employment]]
| Privileging
| Seniority
| Procedure
| labor_pri_re_emp
| Metric
| Measures the priority rules, in the country's statutory or case law and relevant court decisions, for re-employment (CBR-LRI).
| CRC Compiled Data
|-
| [[Annual leave entitlements]]
| Standard-setting
| Working time restriction
| Duration
| labor_ann_lea_ent
| Metric
| Measures the normal length of annual paid leave guaranteed by law or collective agreement (CBR-LRI).
| CRC Compiled Data
|-
| [[Public holiday entitlements]]
| Standard-setting
| Working time restriction
| Duration
| labor_pub_hol_ent
| Metric
| Measures the normal number of paid public holidays guaranteed by law or collective agreement(CBR-LRI).
| CRC Compiled Data
|-
| [[Overtime premia]]
| Standard-setting
| Working time restriction
| Amount
| labor_overt_premia
| Metric
| Measures the normal premium for overtime working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Weekend working]]
| Standard-setting
| Working time restriction
| Amount
| labor_weekend_work
| Metric
| Measures the normal premium for weekend working set by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Limits to overtime working]]
| Standard-setting
| Working time restriction
| Duration
| labor_overt_work
| Metric
| Measures the maximum weekly number of overtime hours permitted by law or by collective agreements which are generally applicable (CBR-LRI).
| CRC Compiled Data
|-
| [[Duration of the normal working week]]
| Standard-setting
| Working time restriction
| Duration
| labor_workweek
| Metric
| Measures the maximum duration of the normal working week exclusive of overtime (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum daily working time]]
| Standard-setting
| Working time restriction
| Duration
| labor_workday
| Metric
| Measures the maximum number of permitted working hours in a day, taking account of rules governing rest breaks and maximum daily working time limits (CBR-LRI).
| CRC Compiled Data
|-
| [[The law determines the legal status of the worker]]
| Privileging
| Selectivity
| Definition
| labor_work_def
| Metric
| Measures the kind of legal relationship in the country's statutory or case law and relevant court decisions determining the legal status of the worker (CBR-LRI).
| CRC Compiled Data
|-
| [[Part-time workers have the right to equal treatment]]
| Equalizing
| Flexibilization
| Right
| labor_ptemp_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment for part-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Dismissing costs for part-time workers is proportional]]
| Equalizing
| Flexibilization
| Right
| labor_pt_dis_cost
| Metric
| Measures the proportionality in the country's statutory or case law and relevant court decisions in terms of cost of dismissing part-time vs full-time workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term contracts are allowed only for work of limited duration]]
| Equalizing
| Flexibilization
| Procedure
| labor_fx_limit
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions on the conclusion of a fixed-term contract (CBR-LRI).
| CRC Compiled Data
|-
| [[Fixed-term workers have the right to equal treatment]]
| Equalizing
| Flexibilization
| Right
| labor_fxemp_et
| Metric
| Measures the constraints in the country's statutory or case law and relevant court decisions in equal treatment of fixed-term versus permanent workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Maximum duration of fixed-term contracts]]
| Equalizing
| Flexibilization
| Duration
| labor_max_fx_dur
| Metric
| Measures the maximum cumulative duration of fixed-term contracts permitted by law before the employment is deemed to be permanent(CBR-LRI).
| CRC Compiled Data
|-
| [[Agency work is prohibited or strictly controlled]]
| Equalizing
| Flexibilization
| Procedure
| labor_awork_con
| Metric
| Measures the prohibition in the country's statutory or case law and relevant court decisions for agency work (CBR-LRI).
| CRC Compiled Data
|-
| [[Agency workers have the right to equal treatment]]
| Equalizing
| Flexibilization
| Right
| labor_awork_et
| Metric
| Measures the equality in the country's statutory or case law and relevant court decisions in equal treatment of agency workers (CBR-LRI).
| CRC Compiled Data
|-
| [[Legally mandated notice period increases with seniority]]
| Privileging
| Seniority
| Procedure
| labor_notped_sen
| Metric
| Measures the strength of the law in increasing the notice periods for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Legally mandated severance compensation increases with seniority]]
| Privileging
| Seniority
| Procedure
| labor_redcomp_sen
| Metric
| Measures the strength of the law in increasing severance payments for employees with seniority (CRC 1342).
| Original CRC Data
|-
| [[Seniority is a decisive redundancy selection criterion ]]
| Privileging
| Seniority
| Procedure
| labor_redsec_sen
| Metric
| Measures the strength of the law in taking account of seniority as a decisive redudancy selection criterion (CRC 1342).
| Original CRC Data
|-
| [[Dismissal protection depends on size of enterprise ]]
| Privileging
| Selectivity
| Procedure
| labor_dispro_size
| Metric
| Measures the dismissal protection in relation to size of the enterprise (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment for men and women ]]
| Equalizing
| Discrimination
| Right
| labor_eqacc_gend
| Metric
| Measures non-discrimination based on the gender in terms of access to employment (CRC 1342).
| Original CRC Data
|-
| [[Law prescribes special measures for women ]]
| Equalizing
| Discrimination
| Procedure
| labor_posdis_gend
| Metric
| Measures the strength of the law in prescribing special measures for women (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal access to employment concerning ethnicity/race ]]
| Equalizing
| Discrimination
| Right
| labor_eqacc_ethn
| Metric
| Measures if the law is guaranteeing non-discrimination concerning the ethnicity/race or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides regulation of special measures concerning ethnicity/race ]]
| Equalizing
| Discrimination
| Procedure
| labor_posdis_ethn
| Metric
| Measures the strength of the law in prescribing special measures for groups discriminated against in terms of ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Equal pay for work of equal value is legally provided for ]]
| Equalizing
| Discrimination
| Right
| labor_eqpay
| Metric
| Measures wether the law is guaranteeing equal pay for equal value or not (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions for men and women ]]
| Equalizing
| Discrimination
| Right
| labor_eqwc_gend
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning sex (CRC 1342).
| Original CRC Data
|-
| [[Law provides for equal working conditions concerning ethnicity/race ]]
| Equalizing
| Discrimination
| Right
| labor_eqwc_ethn
| Metric
| Measures the strength of the law in guaranteeing equal working conditions concerning ethnicity/race (CRC 1342).
| Original CRC Data
|-
| [[Employees enjoy right to a universal minimum wage ]]
| Equalizing
| Discrimination
| Right
| labor_minwage
| Metric
| Measures the strength of the law in guaranteeing a minimum wage for all employees (CRC 1342).
| Original CRC Data
|-
| [[Right to unionisation ]]
| Collective rights
| Employee representation
| Right
| labor_union
| Metric
| Measures the protection of the right to form trade unions in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Right to collective bargaining ]]
| Collective rights
| Employee representation
| Right
| labor_coll_barg
| Metric
| Measures the protection of the right to collective bargaining or the right to enter into collective agreements in the country's constitution (loosely interpreted in the case of system such as the UK without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Duty to bargain ]]
| Collective rights
| Employee representation
| Right
| labor_duty_barg
| Metric
| Measures the employers duty of the right to reach an agreement with official collective actors in the country's constitution (flexibly interpreted in the case of countries without a codified constitution) (CBR-LRI).
| 3rd Party Data
|-
| [[Extension of collective agreements ]]
| Collective rights
| Employee representation
| Right
| labor_exten_barg
| Metric
| Measures the extension of collective agreements in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Closed shops ]]
| Collective rights
| Employee representation
| Right
| labor_closedshop
| Metric
| Measures the right in prohibiting/permitting pre-entry/post-entry closed shops in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination board membership ]]
| Collective rights
| Employee representation
| Right
| labor_codeterm_bmem
| Metric
| Measures the co-determination right of unions/workers in terms of board membership in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Codetermination and information/consultation of workers ]]
| Collective rights
| Employee representation
| Right
| labor_codeterm_info
| Metric
| Measures the rights of information and co-decision making of works councils or enterprise committees in the country's statutory or case law, constitution and relevant court decisions (CBR-LRI).
| 3rd Party Data
|-
| [[Unofficial industrial action ]]
| Collective rights
| Industrial action
| Right
| labor_unoff_indact
| Metric
| Measures the unlawfulness of unofficial industrial action (such as unofficial or ‘wildcat’ strikes) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Political industrial action ]]
| Collective rights
| Industrial action
| Right
| labor_polit_indact
| Metric
| Measures the unlawfulness of political industrial action (i.e. non work-related) in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Secondary industrial action ]]
| Collective rights
| Industrial action
| Right
| labor_second_indact
| Metric
| Measures the constrains on secondary industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Lockouts ]]
| Collective rights
| Industrial action
| Right
| labor_lockouts
| Metric
| Measures the permission of lockouts in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Right to industrial action ]]
| Collective rights
| Industrial action
| Right
| labor_right_indact
| Metric
| Measures the protection of the right to industrial action (i.e. strike, go-slow or work-to-rule) in the country's constitution or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Waiting period prior to industrial action ]]
| Collective rights
| Industrial action
| Right
| labor_wait_indact
| Metric
| Measures the requirement of a waiting period prior to industrial action in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Peace obligation ]]
| Collective rights
| Industrial action
| Right
| labor_peace_oblig
| Metric
| Measures the unlawfulness of strikes while peace obligation are in force in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Compulsory conciliation or arbitration ]]
| Collective rights
| Industrial action
| Right
| labor_comp_conc
| Metric
| Measures the right of mandate conciliation procedures or other alternative-dispute-resolution in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Replacement of striking workers ]]
| Collective rights
| Industrial action
| Right
| labor_replac_strike
| Metric
| Measures the prohibition of dismissal for striking workers in the country's statutory or case law, constitution and relevant court decisions or equivalent (CBR-LRI).
| 3rd Party Data
|-
| [[Type of employment law]]
| Labour Law
| Individual labour law
| Labour law typ
| labor_emplaw_typ
| Multinomial
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[Standard-setting function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_stand_sett_func
| Metric
| Measures the level of general worker protection in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Privileging function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_priv_func
| Metric
| Measures the level of norm-related privileging in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Equalising function]]
| Labour Law
| Individual labour law
| Labour law function
| labor_equa_func
| Metric
| Measures the level of norm-related equalising in individual labour law (CRC 1342).
| CRC Compiled Data
|-
| [[Work-injury. Introduction year of first federal law. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Introduction year of first law as independent nation-state. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstnat
| Date
| Not counting state employees (military or civil servants), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law program type. ]]
| Work-injury
| First law
| Program type
| labor_workinjury_firstlaw_programtype
| Multinomial
| Either employer-liability (=1) or a risk-pooling (=2), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law cash benefits. ]]
| Work-injury
| First law
| Benefits
| labor_workinjury_firstlaw_benefit_cash
| Binary
| Provides cash benefits (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law in-kind health benefits. ]]
| Work-injury
| First law
| Benefits
| labor_workinjury_firstlaw_benefit_inkind_health
| Binary
| Any health services provided by the work-injury law (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law in-kind other benefits. ]]
| Work-injury
| First law
| Benefits
| labor_workinjury_firstlaw_benefit_inkind_other
| Binary
| Provides any benefit that is not cash or health, e.g., funerals (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law benefit duration and amount. ]]
| Work-injury
| First law
| Benefits
| labor_workinjury_firstlaw_duration
| String
| Written description of the maximum amount and duration (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law family benefit. ]]
| Work-injury
| First law
| Benefits
| labor_workinjury_firstlaw_benefit_family
| Binary
| Any provision for family in case of death or injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law group differences. ]]
| Work-injury
| First law
| Inequality
| labor_workinjury_firstlaw_groupdiff
| String
| Any groups excluded by race, ethnicity, place of birth, language, religion, gender, or other non-occupation-related group differences (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First law details. ]]
| Work-injury
| First law
| Details
| labor_workinjury_firstlaw_details
| String
| Notes on the first law. Important information that cannot be captured quantitatively (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First risk pooling law. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_firstins
| Date
| Year of first law that involved risk-pooling, either as insurance or fund (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First establishment of a fund. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_fund
| Date
| Year of first law establishing a provident fund for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First instance of social insurance. ]]
| Work-injury
| First law
| Program Type
| labor_workinjury_first_socins
| Date
| Year of first law establishing social insurance for at least part of the workforce (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Civil servant first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_civilservants
| Date
| Year of first law covering civil servants (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Civil servant first law coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_civilservants_coverage
| String
| Which civil servant groups were covered by the first law (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Civil servant first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_civilservants_fullcoverage
| Date
| Year of law first covering all* civil servants (*defined as literally all, over 80% or all possible), (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Military first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_military
| Date
| First law covering any (sub) groups of the military (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Military first law coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_military_coverage
| String
| A description of which groups were covered by the first law
| Original CRC Data
|-
| [[Work-injury. Military first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_military_fullcoverage
| Date
| Year of law first covering all* enlisted (*defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar
| Date
| Year of law first covering any white-collar, commercial workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. White-collar first law coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar_coverage
| String
| A description of which groups were covered by the first law (CRC 1342
| Original CRC Data
|-
| [[Work-injury. White-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_whitecollar_fullcoverage
| Date
| Year of law first covering all* white-collar workers (*defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar
| Date
| Year of law first covering any segment of the blue-collar work-force (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar_coverage
| String
| A description of which groups were covered by the first law (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_bluecollar_fullcoverage
| Date
| Year of law first covering all* blue-collar industrial workers (*not counting agriculture; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Blue-collar first full-coverage social insurance. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstins_bluecollar_fullcoverage
| Date
| Year of law first covering all blue-collar industrial workers with social insurance
| Original CRC Data
|-
| [[Work-injury. Farmers first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_farmers
| Date
| First law covering farmers - those who own or manage their own farm (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Farmers first law coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_farmers_coverage
| String
| A description of which groups were covered by the first law (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Farmers first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_farmers_fullcoverage
| Date
| Year of law first covering all* farmers (*own/manage own-farm; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Self-employed first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_selfemp
| Date
| Year of first law covering some or all self-employed workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Self-employed first law coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_selfemp_coverage
| String
| A description of which groups were covered by the first law (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Self-employed first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_selfemp_fullcoverage
| Date
| Year of law first covering all* self-employed(*not counting farmers; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law introduction year. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers
| Date
| Year of first law covering some or all agricultural workers (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers_coverage
| String
| A description of which groups were covered by the first law (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Agricultural workers first law full coverage. ]]
| Work-injury
| First law
| Coverage
| labor_workinjury_firstlaw_agriworkers_fullcoverage
| Date
| Year of law first covering all* agricultural workers (*not counting farmers; defined as literally all, over 80% or all possible) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. First-law according to US Social Security Administration. ]]
| Work-injury
| First law
| Introduction
| labor_workinjury_firstlaw_sspw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate temporary. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_temp
| Metric
| Wage replacement rate for incapacity to work for a period of 6 months, with expected return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate permanent. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_replacement_rate_perm
| Metric
| Wage replacement rate for incapacity to work for a period of 12 months, unexpected to return to full work (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as percent of labor force. ]]
| Work-injury
| Legal
| Inclusivity
| labor_workinjury_coverage
| Metric
| Percentage of the labor force legally covered by main work-injury law, and all subsidiary laws and exceptions (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of temporary wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_temp
| Metric
| Legal duration of benefits for temporary incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Duration of permanent wage replacement. ]]
| Work-injury
| Legal
| Benefits
| labor_workinjury_duration_perm
| Metric
| Legal duration of benefits for permanent incapacity to work due to a work-injury (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Replacement rate single worker harmonized for SIED and imputed for full world. ]]
| Work-injury
| Legal
| Benefits
| workinjury_replacement_rate_single_SIED_harmo_full
| Metric
| Multi-law and applied policy legal replacement rate for incapacity to work due to a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Work-injury. Coverage as a percent of labor force SIED harmonized and imputed for full world. ]]
| Work-injury
| Legal
| Inclusivity
| workinjury_coverage_SIED_harmo_full
| Metric
| Multi-law and applied legal coverage as a percent of the labor force against a work-injury, world imputed (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. Introduction year of first federal law. ]]
| Unemployment
| First law
| Introduction
| labor_unemp_firstlaw
| Date
| Not counting state employees (military or civil servants) (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law program type. ]]
| Unemployment
| First law
| Program type
| labor_unemp_firstlaw_programtype
| Multinomial
| Nature of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law financing mode.]]
| Unemployment
| First law
| Financing
| labor_unemp_firstlaw_financing
| Multinomial
| Financing mode of first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law beneficiaries.]]
| Unemployment
| First law
| Coverage
| labor_unemp_firstlaw_beneficiaries
| Multinomial
| Which groups were covered by the first unemployment system (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law benefit duration and amount. ]]
| Unemployment
| First law
| Benefits
| labor_unemp_firstlaw_duration
| String
| Written description of the maximum amount and duration of unemployment (CRC 1342)
| Original CRC Data
|-
| [[Unemployment. First law family benefit. ]]
| Unemployment
| First law
| Benefits
| labor_unemp_firstlaw_benefit_family
| Binary
| Any provision for family in case of unemployment
| Original CRC Data
|-
| [[Unemployment. First law group differences. ]]
| Unemployment
| First law
| Inequality
| labor_unemp_firstlaw_groupdiff
| String
| Any groups excluded by race, ethnicity, place of birth, language, religion, gender, or other non-occupation-related group differences
| Original CRC Data
|-
| [[Introduction dates employment legislation]]
| Employment legislation
| Employment protection
| Regulation of contract
| labor_employleg_employpro_regcontract
| Date
| The data set captures years of introduction of the first law concerning the regulation of contracts (CRC 1342)
| Original CRC Data
|-
| [[Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law typ
| labor_emplaw_typ_string
| String
| Typology of legal segmentation in employment law with related types and middle category (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law ]]
| Labour Law
| Individual labour law
| Labour law typ
| labor_emplaw_typ_short
| Multinomial
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[SPE-Type of employment law (string)]]
| Labour Law
| Individual labour law
| Labour law typ
| labor_emplaw_typ_short_string
| String
| Typology of legal segmentation in employment law (CRC 1342).
| CRC Compiled Data
|-
| [[Notification of dismissal]]
| Standard-setting
| Dismissal protection
| Procedure
| labor_not_dism
| Metric
| Measures the notifications, in the country's statutory or case law and relevant court decisions, of dismissal by third party (CBR-LRI).
| CRC Compiled Data
|}

SPE-Type of employment law (string)

2024-12-12T13:46:55Z

ASchaefer:

{{IndicatorForm
|datatype=String
|scale=String
|scale=String
|scale=String
|valuelabels=<ul>
<li>[spe] - laissez-faire typ</li>
<li>[sPe] - elitist typ</li>
<li>[spE] - market egalitarian typ</li>
<li>[sPE] - individualising typ</li>
<li>[Spe] - proto-socialist typ</li>
<li>[SPe] - paternalist typ</li>
<li>[SpE] - universalist typ</li>
<li>[SPE] - ordre public social typ</li>
</ul>
|techname=labor_emplaw_typ_short_string
|category=Labour and labour market
|label=SPE-Type of employment law
|relatedindicators=<ul>
<li>[[SPE-Type of employment law]]</li>
<li>[[Type of employment law (string)]]</li>
<li>[[Standard-setting function]]</li>
<li>[[Privileging function]]</li>
<li>[[Equalising function]]</li>
</ul>
|description="SPE-Type of employment law (string)" provides string information on the specific individual employment legislation in place in a country during a particular year. The categorization of countries according to their "SPE-Type of employment law (string)" is recreated from the SPE-typology (see Dingeldey et al. 2020), which distinguishes the standard-setting (S), privileged (P) and compensatory (E) functions of labor law. 
The corresponding classification for the variable "SPE-Type of employment law (string)" distinguishes between 8 ideal types:
<ul>
<li>"laissez-faire"(spe)</li>
<li>"elitist" (sPe)</li>
<li>"market egalitarian" (spE)</li>
<li>"individualising" (sPE)</li>
<li>"proto-socialist" (Spe)</li>
<li>"paternalist" (SPe)</li>
<li>"universalist" (SpE)</li>
<li>"ordre public social" (SPE)</li>
</ul>
Uppercase letters represent strong legislation, lowercase letters indicate weak legislation. 
The variable is available for 115 countries from 1970 to 2013, using 12 World of Labour (WoL) variables and 23 CBR-LRI variables (see Dingeldey et al. 2020, 2022). The data from CBR Labour Regulation Index Dataset was coded using provisions of law and relevant court decisions, which are taken from secondary sources, national law databases, and ILO NATLEX data (see Adams et al. 2017, 2023). The 12 World of Labour (WoL) variables were coded using statutory law, only. The combined 35 variables result in the World of Labour Dataset (WoL) (for first version V1, 1970-2013 see Dingeldey et al. 2020, 2022). The different coding basis (text for the coding of legal norms) leads to a different mapping of the scope of law between the CBR and WoL variables and may have an impact on the classification of countries according to the SPE-typology of Dingeldey et al. (2020) as presented in this variable.
|codingrules=The calculations reproduce the SPE typology from Dingeldey et al. 2020, 2022 with the exact same data (in consultation with the persons responsible for the calculations and exchange of the STATA-do files). 35 variables from the Worlds of Labor (WoL) data set, which combines 23 CBR-LRI variables (Adams et al. 2017) and 12 self-coded variables for 115 countries for the years 1970 to 2013, were used for this purpose. The 23 CBR-LRI variables used are based on the coding of provisions of law and relevant court decisions (see Adams et al. 2017, 2023) and the 12 WoL variables are based on the coding of statutory law, only (see Dingeldey et al. 2020, 2022). This means that the 35 variables combined into an additive index have a different range of textual bases that they cover. 
The calculations corresponded to the procedure of Dingeldey et al. 2020, 2022:
<ul>
<li>First, all missing values were excluded from the analysis, missing values for Belarus for the year 1999 were replaced with 1 and for Khazakhstan for 1994 with zero and the variables CBR-LRI 1 and 18 were reversed in their scale (i.e. calculated 1- the respective value).</li> <li>Second, the mean value of all variables was then calculated for a single aspect (for the difference between aspects and dimensions, see Dingeldey et al. 2020, 2022), i.e. the values of the variables within an aspect were added up and divided by their number. The same was done with the aspects within a dimension and dimensions within a function. Thus, all variables were included equally in the calculations, regardless of their text basis and scale level. Some of the variables, such as 'equal right for equal pay', are based on a binary scale level.</li>
<li>Third, adjustments were made exactly as in Dingeldey et al. 2020, 2022: Since the generated indices for the dimensions working time, protection against dismissal and selectivity, in contrast to the other dimensions, showed a maximum below '1' across all years (working time: 0.87; protection against dismissal: 0.95 and selectivity: 0.72), their scales were normalized, i.e. in each case the value of the index was divided by its maximum value. These stops resulted in three additive indices for the functions “protection” (s/S), “privilege” (p/P) and “equality” (e/E). </li>
<li>Fourth, the mean as threshold value based on anchor points were introduced (the years 1980 for S and P and 2006 for E were selected as anchor points).
</ul>
This was then used to create 8 types [1]"spe" [2]"sPe" [3]"spE" [4]"sPE" [5]"Spe" [6]"SPe" [7]"SpE" [8]"SPE". 
If the country was assigned the SPE-type “sPe”, this means that:
*1. the index value for s (protection) for the country is below the mean value across all countries for the year 1980
*2. the index value for P (privilege) for the country is above the mean value across all countries for the year 1980 and
*3. the index value for e (equalizing) for the country is below the mean value across all countries for the year 2006.
Depending on how many countries are part of the analysis or which years are selected, the values should vary.
The analysis, calculation and description of the variables was carried out by Andrea Schäfer.
|citation=Schäfer, Andrea, Marina Carlino, Irene Dingeldey, Heiner Fechner and Ulrich Mückenberger (2024). SPE Type of employment law data (string) (2024). University of Bremen
|relatedpublications=<ul>
<li>Adams, Zoe, Bhumika Billa, Louise Bishop, Simon Deakin and Tvisha Shroff (2023). CBR Labour Regulation Index (Dataset of 117 Countries, 1970-2022) - Codes and Sources. Centre for Business Research, University of Cambridge. at: https://doi.org/10.17863/CAM.9130.2</li>
<li>Carlino, Marina, Fechner, Heiner, and Schäfer, Andrea (2025, forthcoming). Using leximetrics for coding legal segmentation in employment law: The development and potential of the Worlds of Labour database. In I. Dingeldey, H. Fechner, & U. Mückenberger (Eds.), Constructing Worlds of Labour. Coverage and Generosity of Labour Law as Outcomes of Regulatory Social Policy. Palgrave Macmillan. p.53-83 </li>
<li>Deakin, Simon, Johna Armour and Mathias Siems (2023). CBR Leximetric Datasets [Updated 2023]. Apollo - University of Cambridge Repository. https://doi.org/10.17863/CAM.9130.2</li>
<li>Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, and Ulrich Mückenberger (2020). Measuring Legal Segmentation in Labour Law. SOCIUM SFB 1342 Working Papers No. 5, Bremen: SOCIUM, University of Bremen. https://www.socialpolicydynamics.de/f/90e3891ffd.pdf</li>
<li> Dingeldey, Irene, Heiner Fechner, Jean-Yves Gerlitz, Jenny Hahs, and Ulrich Mückenberger (2022). Worlds of Labour: Introducing the Standard-Setting, Privileging and Equalising Typology as a Measure of Legal Segmentation in Labour Law, Industrial Law Journal, 51(3), p.560–597</li>
</ul>
|projectmanagers=Responsible for data editing, calculation, description (WESIS) and entry: Andrea Schäfer (2021-2025); Responsible for data coding: Heiner Fechner (2018-2025), Marina Carlino (2022-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants for coding (alphabetical ordering): Julia Bode, Jessica Bonn, Daniel Euler, Jan-Christopher Floren, Maxime Fischer, Jennifer Götte, Eliko Hagen, Désirée Hoppe, Irina Kyburz, Alexandra Kojnow, Tarek Mahmalat, Karolin Meyer, Oguz Mermut, Johanna Nold, Tanusha Pali, Johannes Ramsauer, Max Sudhoff, Kristina Walter, Caroline Zambiasi
|datarelease=<ul>
<li>Version 0.001: Initial release with data from CBR-LRI published in April 2017 (data for the period from (in most cases) 1970 to 2013) + 12 variables from WoL, V1</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Deakin, Simon, Johna Armour and Mathias Siems (2017). CBR Leximetric Datasets [updated]. [Dataset]. Apollo - University of Cambridge Repository. https://doi.org/10.17863/CAM.9130</li>
<li>The sources used for coding the WoL-values are not available (for more information on sources pls contact the person responsible for data coding – see entry: Project manager(s)) -. </li>
</ul>
}}

Social structure

2024-12-12T13:30:20Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator Name
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name
! Scale
! Short description
! Data origin*
|-
| [[Employment to population ratio, 15+, male (national estimate)]]
| Labour market participation
| Employment
|
| socstr_emp_pop_15m
| Metric
| Measures the employment ratio of a country’s male population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15+, female (national estimate)]]
| Labour market participation
| Employment
|
| socstr_emp_pop_15f
| Metric
| Measures the employment ratio of a country’s female population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15+, total (national estimate)]]
| Labour market participation
| Employment
|
| socstr_emp_pop_15t
| Metric
| Measures the employment ratio of a country’s population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, male (national estimate)]]
| Labour market participation
| Employment
|
| socstr_emp_pop_1524m
| Metric
| Measures the employment ratio of a country’s male population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, female (national estimate)]]
| Labour market participation
| Employment
|
| socstr_emp_pop_1524f
| Metric
| Measures the employment ratio of a country’s female population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, total (national estimate)]]
| Labour market participation
| Employment
|
| socstr_emp_pop_1524t
| Metric
| Measures the employment ratio of a country’s population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, male (national estimate)]]
| Labour market participation
| Labour force participation
|
| socstr_lfp_pop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, female (national estimate)]]
| Labour market participation
| Labour force participation
|
| socstr_lfp_pop_15f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, total (national estimate)]]
| Labour market participation
| Labour force participation
|
| socstr_lfp_pop_15t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/total working-age population]]
| Labour market participation
| Education
|
| socstr_lfpedu3_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/female working-age population]]
| Labour market participation
| Education
|
| socstr_lfpedu3_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/male working-age population)]]
| Labour market participation
| Education
|
| socstr_lfpedu3_wpop_m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/total working-age population]]
| Labour market participation
| Education
|
| socstr_lfpedu2_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/female working-age population]]
| Labour market participation
| Education
|
| socstr_lfpedu2_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/male working-age population)]]
| Labour market participation
| Education
|
| socstr_lfpedu2_wpop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/total working-age population]]
| Labour market participation
| Education
|
| socstr_lfpedu1_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/female working-age population]]
| Labour market participation
| Education
|
| socstr_lfpedu1_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/male working-age population]]
| Labour market participation
| Education
|
| socstr_lfpedu1_wpop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Atkinson Coefficient (epsilon=0.5)]]
| Economic inequality
| Inequality measure
|
| socstr_atkincoef_eps05
| Metric
| Measures income inequality of a country under considerations of further parameters like society's aversion of income inequality (LIS).
| 3rd Party Data
|-
| [[Atkinson Coefficient (epsilon=1)]]
| Economic inequality
| Inequality measure
|
| socstr_atkincoef_eps1
| Metric
| Measures income inequality of a country under considerations of further parameters like society's aversion of income inequality (LIS).
| 3rd Party Data
|-
| [[Gini Coefficient (LIS)]]
| Economic inequality
| Inequality measure
|
| socstr_gini_coef_lis
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the Luxembourg Income Study Database (LIS).
| 3rd Party Data
|-
| [[Gini (at disposable income post taxes & transfers)]]
| Economic inequality
| Inequality measure
|
| socstr_gini_disinc_oecd
| Metric
| Measures income inequality of disposable income of a country's population after taxes and other transfers. Ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the Organisation for Economic Co-operation and Development (OECD).
| 3rd Party Data
|-
| [[Income inequality: S80/S20 disposable income quintile share]]
| Economic inequality
| Inequality measure
|
| socstr_s80s20_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile S80/S20 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P90/P10 disposable income decile ratio]]
| Economic inequality
| Inequality measure
|
| socstr_p90p10_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P90/P10 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P90/P50 disposable income decile ratio]]
| Economic inequality
| Inequality measure
|
| socstr_p90p50_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P90/P50 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P50/P10 disposable income decile ratio]]
| Economic inequality
| Inequality measure
|
| socstr_p50p10_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P50/P10 (OECD).
| 3rd Party Data
|-
| [[GINI index (World Bank estimate)]]
| Economic inequality
| Inequality measure
|
| socstr_gini_ndx_wb
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the World Bank (WB).
| 3rd Party Data
|-
| [[Gini Coefficient (WIID)]]
| Economic inequality
| Inequality measure
|
| socstr_gini_coef_wiid4
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the World Institute for Development Economics Research (UNU-WIDER / WIID).
| 3rd Party Data
|-
| [[Human Development Index]]
| Human Development
| Development indicator
|
| socstr_hdi_undp
| Metric
| Measures average achievement of a country in various dimensions of human development like health, education and living standard (UNDP).
| 3rd Party Data
|-
| [[Relative poverty rates: Entire population]]
| Economic inequality
| Poverty measure
|
| socstr_repovratetpop_oecd
| Metric
| Measures relative poverty of the entire population of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Children (age 0-17)]]
| Economic inequality
| Poverty measure
|
| socstr_repovratechild_oecd
| Metric
| Measures relative poverty of children aged 0 up to 17 of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Working-age population (age 18-65)]]
| Economic inequality
| Poverty measure
|
| socstr_repovratewap_oecd
| Metric
| Measures relative poverty of the working age population aged 18 up to 65 of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Retirement-age population (over 65)]]
| Economic inequality
| Poverty measure
|
| socstr_repovratera_oecd
| Metric
| Measures relative poverty of the retirement-age population aged 65 and older of a country (OECD).
| 3rd Party Data
|-
| [[Poverty gap entire population]]
| Economic inequality
| Poverty measure
|
| socstr_povgaptpop_oecd
| Metric
| Measures the poverty gap of a country's entire population (OECD).
| 3rd Party Data
|-
| [[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]
| Economic inequality
| Poverty measure
|
| socstr_povgap190_11_wb
| Metric
| Measures poverty with a poverty gap set at 1.90 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]
| Economic inequality
| Poverty measure
|
| socstr_povgap190_11_wb_new
| Metric
| Measures poverty with a poverty gap set at 2.15 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]
| Economic inequality
| Poverty measure
|
| socstr_povgap320_11_wb
| Metric
| Measures poverty with a poverty gap set at 3.20 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]
| Economic inequality
| Poverty measure
|
| socstr_povgap320_11_wb_new
| Metric
| Measures poverty with a poverty gap set at 3.65 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Gender Inequality Index]]
| Social inequality
| Inequality measure
|
| socstr_gdi_undp
| Metric
| Measures inequality in gender based on the three dimensions reproductive health, empowerment, and labour market (UNDP).
| 3rd Party Data
|-
| [[Population, total]]
| Population
|
|
| socstr_pop_tot_unctad
| Metric
| Measures the total population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total male population]]
| Population
|
|
| socstr_pop_totma_pp
| Metric
| Measures the male population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total female population]]
| Population
|
|
| socstr_pop_totfe_pp
| Metric
| Measures the female population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total population, both sexes]]
| Population
|
|
| socstr_pop_tot_pp
| Metric
| Measures the total population (all residents regardless of legal status or citizenship), midyear estimates (WB).
| 3rd Party Data
|-
| [[Population per square kilometre]]
| Population
|
|
| socstr_pop_dens_pp
| Metric
| Measures the average population per square km (EC).
| 3rd Party Data
|-
| [[Total population ages 0-14]]
| Population
|
|
| socstr_pop_0014to_pp
| Metric
| Measures the total population between the ages 0 to 14 as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total population ages 15-64]]
| Population
|
|
| socstr_pop_1564to_pp
| Metric
| Measures the total population between the ages 15 to 64 as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total population ages 65 and above]]
| Population
|
|
| socstr_pop_65upto_pp
| Metric
| Measures the population ages 65 and above as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total fertility rate]]
| Population
|
|
| socstr_pop_tfr_gp
| Metric
| Measures the total number of children born to women aged 15 to 49 (OECD).
| 3rd Party Data
|-
| [[Life expectancy at birth]]
| Population
|
|
| socstr_pop_lex_gp
| Metric
| Measures the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life (WB).
| 3rd Party Data
|-
| [[Global Gender Gap Index]]
| Social inequality
| Inequality measure
|
| socstr_si_im_gggi
| Metric
| The index benchmarks national gender gaps on economic, education, health and political criteria (WEF).
| 3rd Party Data
|-
| [[Children in employment, total ]]
| Labour market participation
| Employment
|
| socstr_lm_ep_cept
| Metric
| Measures the share of children involved in economic activity aged 7 – 14 and not attending school (WB).
| 3rd Party Data
|-
| [[Children in employment, female ]]
| Labour market participation
| Employment
|
| socstr_lm_ep_cepf
| Metric
| Measures the share of female children involved in economic activity aged 7 – 14 and not attending school (WB).
| 3rd Party Data
|-
| [[Children in employment, male ]]
| Labour market participation
| Employment
|
| socstr_lm_ep_cepm
| Metric
| Measures the share of male children involved in economic activity aged 7 – 14 and not attending school (WB).
| 3rd Party Data
|-
| [[The Property Right Protection Index]]
| Economic inequality
| Inequality measure
|
| socstr_prp_prp
| Metric
| The Property Rights Index assesses the security of property rights distinct from other components of the rule of law.
| 3rd Party Data
|-
| [[Global Gender Gap Economic Participation and Opportunity Subindex]]
| Social inequality
| Inequality measure
|
| socstr_si_im_gggi_pos
| Metric
| Measures the gendered economic participation and opportunity (WEF).
| 3rd Party Data
|-
| [[Global Gender Gap Political Empowerment Subindex]]
| Social inequality
| Inequality measure
|
| socstr_si_im_gggi_pes
| Metric
| Measures the gendered political empowerment (WEF).
| 3rd Party Data
|-
| [[Global Gender Gap Health and Survival Subindex]]
| Social inequality
| Inequality measure
|
| socstr_si_im_gggi_hss
| Metric
| Measures the gendered health and survival (WEF).
| 3rd Party Data
|}

Global Gender Gap Health and Survival Subindex

2024-12-12T12:38:32Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi_hss
|category=Social structure
|label=Global Gender Gap Health and Survival Subindex
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Index]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Economic Participation and Opportunity Subindex]]</li>
</ul>
|description="Global Gender Gap Health and Survival Subindex" is a subindex of the "Global Gender Gap Index" that includes two components: sex ratio at birth and healthy life expectancy. The index ranges from 0 to 1, where 1 indicates no gap.
|codingrules=This subindex provides an overview of the health disparities between women and men using two indicators:
* Sex ratio at birth and
* Healthy life expectancy.
The first indicator "Sex ratio at birth" aims to capture the phenomenon of "missing women," commonly observed in countries with a strong preference for sons. The second indicator "Healthy life expectancy" measures the gap in healthy life expectancy between women and men. This metric estimates the number of years both women and men can expect to live in good health, accounting for years lost due to violence, disease, malnutrition, and other factors. 
To ensure consistency, all data is first converted to female-to-male ratios. These ratios are then truncated at the "equality benchmark," which is set at 1, indicating gender parity (equal numbers of women and men). After normalizing the indicators by equalizing their standard deviations, the subindex is calculated as the weighted average of the individual indicators. The highest possible score is 1 (gender parity), and the lowest is 0 (gender disparity).
The benchmarks for gender parity and disparity have remained consistent, enabling year-on-year comparisons and relative country rankings over time. 
Teorell et al. (2024:1316) define the variable as "Health and Survival (0 to 1, where 1 indicates no gap). This subindex provides an overview of the differences between womens and mens health through the use of two indicators. The first is the sex ratio at birth, which aims specifically to capture the phenomenon of missing women, prevalent in many countries with a strong son preference. Second, we use the gap between womens and mens
healthy life expectancy. This measure provides an estimate of the number of years that women and men can expect to live in good health by taking into account the years lost to violence, disease, malnutrition and other relevant factors."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
<li>Schäfer, Andrea and Karin Gottschall (2015): From Wage Regulation to Wage Gap. How Wage-Setting Institutions and Structures Shape the Gender Wage Gap Across Three Industries in 24 European Countries and in Germany. In: Cambridge Journal of Economics, 39 (2), p.467 - 496, http://cje.oxfordjournals.org/content/early/2015/02/20/cje.bev005 </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}

Global Gender Gap Economic Participation and Opportunity Subindex

2024-12-12T12:38:11Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi_pos
|category=Social structure
|label=Global Gender Gap Economic Participation and Opportunity Subindex
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Index]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description="Global Gender Gap Economic Participation and Opportunity Subindex" is a subindex of the "Global Gender Gap Index" that includes three key components: the participation gap, the remuneration gap, and the advancement gap. The index ranges from 0 to 1, where 1 indicates no gap.
|codingrules=This subindex includes three main components: the participation gap, the remuneration gap, and the advancement gap.
* The participation gap is measured by the difference in labor force participation rates between women and men (ILO).
* The remuneration gap is assessed using two indicators: a hard data indicator (the ratio of estimated female-to-male earned income) (ILO) and a qualitative indicator from the World Economic Forum’s annual Executive Opinion Survey, which examines wage equality for similar work.
* The advancement gap is measured by two hard data statistics: the ratio of women to men among legislators, senior officials, and managers, and the ratio of women to men among technical and professional workers (ILO). 
To ensure consistency, all data is first converted to female-to-male ratios. These ratios are then truncated at the "equality benchmark," which is set at 1, indicating gender parity (equal numbers of women and men). After normalizing the indicators by equalizing their standard deviations, the subindex is calculated as the weighted average of the individual indicators. The highest possible score is 1 (gender parity), and the lowest is 0 (gender disparity).
The benchmarks for gender parity and disparity have remained consistent, enabling year-on-year comparisons and relative country rankings over time. 

Teorell et al. (2024:1317) define the variable as "Economic Participation and Opportunity (0 to 1, where 1 indicates no gap). This subindex contains three concepts: the participation gap, the remuneration gap and the advancement gap. The participation gap is captured using the difference between women and men in labour force participation rates. The remuneration gap is captured through a hard data indicator (ratio of estimated
female-to-male earned income) and a qualitative indicator gathered through the World Economic Forum’s annual Executive Opinion Survey (wage equality for similar work). Finally, the gap between the advancement of women and men is captured through two hard data statistics (the ratio of women to men among legislators, senior officials and managers, and the ratio of women to men among technical and professional workers)."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
<li>Schäfer, Andrea and Karin Gottschall (2015): From Wage Regulation to Wage Gap. How Wage-Setting Institutions and Structures Shape the Gender Wage Gap Across Three Industries in 24 European Countries and in Germany. In: Cambridge Journal of Economics, 39 (2), p.467 - 496, http://cje.oxfordjournals.org/content/early/2015/02/20/cje.bev005 </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}

Global Gender Gap Political Empowerment Subindex

2024-12-12T12:37:45Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi_pes
|category=Social structure
|label=Global Gender Gap Political Empowerment Subindex
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Index]]</li>
<li>[[Global Gender Gap Economic Participation and Opportunity Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description="Global Gender Gap Political Empowerment Subindex" is a subindex of the "Global Gender Gap Index" that measures the gender gap in political decision-making by looking at the ratio of women to men in key political positions. The index ranges from 0 to 1, where 1 indicates no gap.
|codingrules=This subindex measures the gender gap in political decision-making by looking at the ratio of women to men in key political positions:
* Women in parliament
* Women in ministerial positions and
* Years with female/male head of state (last 50).
Currently, the participation of women and men at local levels of government is not included in the index. However, if such data becomes available for global comparison in future years, it will be considered for inclusion in the index.
To ensure consistency, all data is first converted to female-to-male ratios. These ratios are then truncated at the "equality benchmark," which is set at 1, indicating gender parity (equal numbers of women and men). After normalizing the indicators by equalizing their standard deviations, the subindex is calculated as the weighted average of the individual indicators. The highest possible score is 1 (gender parity), and the lowest is 0 (gender disparity).
The benchmarks for gender parity and disparity have remained consistent, enabling year-on-year comparisons and relative country rankings over time. 
Teorell et al. (2024:1316) define the variable as "Political Empowerment (0 to 1, where 1 indicates no gap). This subindex measures the gap between men and women at the highest level of political decision-making through the ratio of women to men in ministerial positions and the ratio of women to men in parliamentary positions. In addition,
weve included the ratio of women to men in terms of years in executive office (prime minister or president) for the last 50 years. A clear drawback in this category is the absence of any indicators capturing differences between the participation of women and men at local levels of government. Should such data become available at a globally comparative level in future years, it will be considered for inclusion in the Index."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
<li>Schäfer, Andrea and Karin Gottschall (2015): From Wage Regulation to Wage Gap. How Wage-Setting Institutions and Structures Shape the Gender Wage Gap Across Three Industries in 24 European Countries and in Germany. In: Cambridge Journal of Economics, 39 (2), p.467 - 496, http://cje.oxfordjournals.org/content/early/2015/02/20/cje.bev005 </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}

Children in employment, male

2024-12-12T12:36:23Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_lm_ep_cepm
|category=Social structure
|label=Children in employment, male
|relatedindicators=<ul>
<li>[[Total fertility rate]]</li>
<li>[[Life expectancy at birth]]</li>
<li>[[Children in employment, total]]</li>
<li>[[Children in employment, female]]</li>
</ul>
|description="Children in employment, male" measures the percentage of male economically active children aged 7-14 who are engaged in economic activity for at least one hour during the reference week of the survey.
|codingrules=The variable measures the percentage of male economically active children ages 7-14.
Children in employment, as used here, is a broader concept than child labor, encompassing any form of economic activity, not just work considered exploitative or harmful (for a distinction, see ILO). Employment by economic activity classifies economically active children according to the major industrial categories of the International Standard Industrial Classification (ISIC). Although more boys tend to be involved in employment, or the gender gap is small, girls are often more likely to be engaged in hidden or underreported forms of work, such as domestic service. Additionally, in nearly all societies, girls typically bear a larger share of household chores, which fall outside the System of National Accounts production boundary and are not included in estimates of children’s employment. Despite efforts to harmonize employment definitions and standardize survey questionnaires, significant differences persist in how employment data is collected across surveys, even within the same country. These variations in survey instruments and sampling designs make cross-country comparisons of children’s employment estimates difficult and less reliable. 
Teorell et al. (2024:1458) defines the variable as "CChildren in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Male.".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}


{{#default_form:IndicatorForm}}

Children in employment, female

2024-12-12T12:33:05Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_lm_ep_cepf
|category=Social structure
|label=Children in employment, female
|relatedindicators=<ul>
<li>[[Total fertility rate]]</li>
<li>[[Life expectancy at birth]]</li>
<li>[[Children in employment, total]]</li>
<li>[[Children in employment, male ]]</li>
</ul>
|description="Children in employment, female" measures the percentage of female economically active children aged 7-14 who are engaged in economic activity for at least one hour during the reference week of the survey.
|codingrules=The variable measures the percentage of female economically active children ages 7-14.
Children in employment, as used here, is a broader concept than child labor, encompassing any form of economic activity, not just work considered exploitative or harmful (for a distinction, see ILO). Employment by economic activity classifies economically active children according to the major industrial categories of the International Standard Industrial Classification (ISIC). Although more boys tend to be involved in employment, or the gender gap is small, girls are often more likely to be engaged in hidden or underreported forms of work, such as domestic service. Additionally, in nearly all societies, girls typically bear a larger share of household chores, which fall outside the System of National Accounts production boundary and are not included in estimates of children’s employment. Despite efforts to harmonize employment definitions and standardize survey questionnaires, significant differences persist in how employment data is collected across surveys, even within the same country. These variations in survey instruments and sampling designs make cross-country comparisons of children’s employment estimates difficult and less reliable. 
Teorell et al. (2024:1458) defines the variable as "Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Female.".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}


{{#default_form:IndicatorForm}}

Children in employment, total

2024-12-12T12:20:46Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_lm_ep_cept
|category=Social structure
|label=Children in employment, total
|relatedindicators=<ul>
<li>[[Total fertility rate]]</li>
<li>[[Life expectancy at birth]]</li>
<li>[[Children in employment, female ]]</li>
<li>[[Children in employment, male ]]</li>
</ul>
|description="Children in employment, total" measures the percentage of children aged 7 to 14 who are involved in economic activity (at least one hour per reference week) and are not attending school, as defined by the Understanding Children’s Work project. It represents the proportion of children in employment within this age group.
|codingrules=The variable measures the percentage of children aged 7 to 14 who participate in economic activity for at least one hour during the reference week and are not attending school and reflects the share of children in employment within this age group. 
Teorell et al. (2024:1457) defines the variable as "Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}


{{#default_form:IndicatorForm}}

Life expectancy at birth

2024-12-12T12:11:59Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_lex_gp |category=Social structure |label=Life expe..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_lex_gp
|category=Social structure
|label=Life expectancy at birth
|relatedindicators=<ul>
<li>[[Total fertility rate]]</li>
<li>[[Children in employment, total ]]</li>
<li>[[Children in employment, female ]]</li>
<li>[[Children in employment, male ]]</li>
</ul>
|description="Life expectancy at birth" measures the average number of years a newborn infant would live, assuming that current mortality rates remain unchanged throughout their lifetime.
|codingrules="Life expectancy at birth" is the average number of years a newborn is expected to live, assuming that age-specific mortality rates remain constant over their lifetime. Since the actual death rates of any birth cohort cannot be predicted in advance, life expectancy is estimated based on current mortality rates. If death rates decline, the actual lifespan of individuals will likely exceed the life expectancy calculated using current rates. This indicator is typically measured in years.
Teorell et al. (2024:1548) defines the variable as "Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Total fertility rate

2024-12-12T12:03:39Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_tfr_gp |category=Social structure |label=Total fer..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_tfr_gp
|category=Social structure
|label=Total fertility rate
|relatedindicators=<ul>
<li>[[Life expectancy at birth]]</li>
<li>[[Children in employment, total ]]</li>
<li>[[Children in employment, female ]]</li>
<li>[[Children in employment, male ]]</li>
</ul>
|description="Total fertility rate" measures for a specific year the average number of children a woman would have if she were to live through her entire childbearing years and give birth according to the current age-specific fertility rates. This variable is expressed in terms of children per woman.
|codingrules=The total fertility rate for a given year is defined as the average number of children a woman would have if she were to live through her entire childbearing years and bear children according to the prevailing age-specific fertility rates. It is calculated by summing the age-specific fertility rates, typically measured in five-year intervals. Assuming no net migration and constant mortality rates, a total fertility rate of 2.1 children per woman generally results in a stable population. Along with mortality and migration, fertility is a key factor in population growth, reflecting both the drivers and outcomes of economic and social changes.
Teorell et al. (2024:327) defines the variable as "Total fertility rates, number of children born to women aged 15 to 49".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset</li>
<li>Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
}}

Total population, both sexes

2024-12-12T11:45:27Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_tot_pp |category=Social structure |label=Total pop..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_tot_pp
|category=Social structure
|label=Total population, both sexes
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total male population]]</li>
<li>[[Total female population]]</li>
<li>[[Population per square kilometre]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population ages 65 and above]]</li>
</ul>
|description="Total population, both sexes" measures the male and female population in Thousand based on the de facto definition of population.
|codingrules=This variable measures the total population, both sexes. The total population is based on the de facto population, which includes all residents, regardless of their legal status or citizenship. The figures presented are midyear estimates. 
Teorell et al. (2024:1570) defines the variable as "Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Population per square kilometre

2024-12-12T11:38:53Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_dens_pp
|category=Social structure
|label=Population per square kilometre
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total male population]]</li>
<li>[[Total female population]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population ages 65 and above]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description="Population per square kilometre" measures the population density. It is defined as the number of people per square kilometer. Thus, the ratio between the annual average population and the land area. The land area concept (excluding inland waters) is used wherever available.
|codingrules="Population per square kilometre" refers to the number of individuals per square kilometer. It is calculated as the ratio of the annual average population to the land area. When calculating population density, the land area (which excludes bodies of inland water such as lakes and rivers) is used, if available. However, in some EU countries, the total area, including lakes and rivers, is used for the calculation, as this is the only data available.
Teorell et al. (2024:565) define the variable as "Population density, average population per square km".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/ </li>
</ul>
|relatedpublications=<ul>
<li>Joint Research Centre: Institute for Environment and Sustainability, Widhalm, P., Pantisano, F., Craglia, M. and Ricciato, F. (2025). Estimating population density distribution from network-based mobile phone data, Publications Office, https://data.europa.eu/doi/10.2788/162414</li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, Version January 2024 </li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/</li>
</ul>
}}

Total population ages 65 and above

2024-12-12T11:36:02Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_65upto_pp |category=Social structure |label=Total..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_65upto_pp
|category=Social structure
|label=Total population ages 65 and above
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total male population]]</li>
<li>[[Total female population]]</li>
<li>[[Population per square kilometre]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description="Total population ages 65 and above" as a percentage of the total population is calculated based on the de facto definition of population.
|codingrules=This variable measures the population ages 65 and above as a percentage of the total population. The age structure in the World Bank's population estimates is derived from the United Nations Population Division's World Population Prospects. The total population is based on the de facto population, which includes all residents, regardless of their legal status or citizenship. The figures presented are midyear estimates. 
Teorell et al. (2024:1572) defines the variable as "Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Total population ages 15-64

2024-12-12T11:31:44Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_1564to_pp |category=Social structure |label=Total..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_1564to_pp
|category=Social structure
|label=Total population ages 15-64
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total male population]]</li>
<li>[[Total female population]]</li>
<li>[[Population per square kilometre]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 65 and above]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description="Total population ages 15-64" as a percentage of the total population is calculated based on the de facto definition of population.
|codingrules=This variable measures the population between the ages 15 to 64 as a percentage of the total population. The age structure in the World Bank's population estimates is derived from the United Nations Population Division's World Population Prospects. The total population is based on the de facto population, which includes all residents, regardless of their legal status or citizenship. The figures presented are midyear estimates. 
Teorell et al. (2024:1571) defines the variable as "Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Total population ages 0-14

2024-12-12T11:27:20Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_0014to_pp |category=Social structure |label=Total..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_0014to_pp
|category=Social structure
|label=Total population ages 0-14
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total male population]]</li>
<li>[[Total female population]]</li>
<li>[[Population per square kilometre]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population ages 65 and above]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description="Total population ages 0-14" as a percentage of the total population is calculated based on the de facto definition of population.
|codingrules=This variable measures the population between the ages 0 to 14 as a percentage of the total population. The age structure in the World Bank's population estimates is derived from the United Nations Population Division's World Population Prospects. The total population is based on the de facto population, which includes all residents, regardless of their legal status or citizenship. The figures presented are midyear estimates. 
Teorell et al. (2024:1571) defines the variable as "Total population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Population, total

2024-12-12T11:19:48Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_tot_unctad
|category=Social structure
|label=Population, total
|relatedindicators=<ul>
<li>[[Total male population]]</li>
<li>[[Total female population]]</li>
<li>[[Population per square kilometre]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population ages 65 and above]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description="Population, total" refers to the number of people living in a country on January 1st of the year (or December 31st of the previous year).
|codingrules=Eurostat aims to collect population data as of January 1st from EU Member States, using the concept of "usually resident population." This refers to the number of people living in a given area on January 1st of the year in question (or December 31st of the previous year). The data reported by countries may be based either on the latest census, adjusted for changes in population since the census, or on population registers. "Usual residence" is defined as the place where a person typically spends their daily rest period, excluding short-term absences for activities such as recreation, holidays, visits to family or friends, business, medical treatment, or religious pilgrimages. Only those who meet one of the following criteria are considered usual residents: individuals who have lived in the area for at least 12 consecutive months before the reference date, or those who moved to the area within the past 12 months with the intention of staying for at least one year. 
Teorell et al. (2024:564) define the variable as "Population at 1st January, total".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/ </li>
</ul>
|relatedpublications=<ul>
<li> Eurostat (2024). Key figures on Europe – 2024 edition. Luxembourg: Publications Office of the European Union. </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, Version January 2024 </li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/</li>
</ul>
}}

Population per square kilometre

2024-12-12T11:15:25Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_dens_pp |category=Social structure |label=Populati..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_dens_pp
|category=Social structure
|label=Population per square kilometre
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total male population]]</li>
<li>[[Total female population]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population ages 65 and above]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description=Population density is defined as the number of people per square kilometer. Thus, it is the ratio between the annual average population and the land area. The land area concept (excluding inland waters) is used wherever available.
|codingrules=Population density refers to the number of individuals per square kilometer. It is calculated as the ratio of the annual average population to the land area. When calculating population density, the land area (which excludes bodies of inland water such as lakes and rivers) is used, if available. However, in some EU countries, the total area, including lakes and rivers, is used for the calculation, as this is the only data available.
Teorell et al. (2024:565) define the variable as "Population density, average population per square km".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/ </li>
</ul>
|relatedpublications=<ul>
<li>Joint Research Centre: Institute for Environment and Sustainability, Widhalm, P., Pantisano, F., Craglia, M. and Ricciato, F. (2025). Estimating population density distribution from network-based mobile phone data, Publications Office, https://data.europa.eu/doi/10.2788/162414</li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, Version January 2024 </li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/</li>
</ul>
}}

Total female population

2024-12-12T10:59:29Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_totma_pp |category=Social structure |label=Total f..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_totma_pp
|category=Social structure
|label=Total female population
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total male population]]</li>
<li>[[Population per square kilometre]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population ages 65 and above]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description="Total female population" refers to the number of female people living in a country on January 1st of the year (or December 31st of the previous year).
|codingrules=Eurostat aims to collect population data as of January 1st from EU Member States, using the concept of "usually resident population." This refers to the number of people living in a given area on January 1st of the year in question (or December 31st of the previous year). The data reported by countries may be based either on the latest census, adjusted for changes in population since the census, or on population registers. "Usual residence" is defined as the place where a person typically spends their daily rest period, excluding short-term absences for activities such as recreation, holidays, visits to family or friends, business, medical treatment, or religious pilgrimages. Only those who meet one of the following criteria are considered usual residents: individuals who have lived in the area for at least 12 consecutive months before the reference date, or those who moved to the area within the past 12 months with the intention of staying for at least one year. 
Teorell et al. (2024:563) define the variable as "Population at 1st January, female".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/ </li>
</ul>
|relatedpublications=<ul>
<li> Eurostat (2024). Key figures on Europe – 2024 edition. Luxembourg: Publications Office of the European Union. </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, Version January 2024 </li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/</li>
</ul>
}}

Total male population

2024-12-12T10:55:06Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_totma_pp
|category=Social structure
|label=Total male population
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total female population]]</li>
<li>[[Population per square kilometre]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population ages 65 and above]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description="Total male population" refers to the number of male people living in a country on January 1st of the year (or December 31st of the previous year).
|codingrules=Eurostat aims to collect population data as of January 1st from EU Member States, using the concept of "usually resident population." This refers to the number of people living in a given area on January 1st of the year in question (or December 31st of the previous year). The data reported by countries may be based either on the latest census, adjusted for changes in population since the census, or on population registers. "Usual residence" is defined as the place where a person typically spends their daily rest period, excluding short-term absences for activities such as recreation, holidays, visits to family or friends, business, medical treatment, or religious pilgrimages. Only those who meet one of the following criteria are considered usual residents: individuals who have lived in the area for at least 12 consecutive months before the reference date, or those who moved to the area within the past 12 months with the intention of staying for at least one year. 
Teorell et al. (2024:563) define the variable as "Population at 1st January, male".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/ </li>
</ul>
|relatedpublications=<ul>
<li> Eurostat (2024). Key figures on Europe – 2024 edition. Luxembourg: Publications Office of the European Union. </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, Version January 2024 </li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/</li>
</ul>
}}

Atkinson Coefficient (epsilon=1)

2024-12-12T10:51:50Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_atkincoef_eps1
|category=Social structure
|label=Atkinson Coefficient (epsilon=1)
|relatedindicators=<ul>
<li>[[Atkinson Coefficient (epsilon=0.5)]]</li>
<li>[[Gini Coefficient (LIS)]]</li>
<li>[[Gini (at disposable income post taxes & transfers)]]</li>
<li>[[GINI index (World Bank estimate)]]</li>
<li>[[Income inequality: S80/S20 disposable income quintile share]]</li>
<li>[[Income inequality: P90/P10 disposable income decile ratio]]</li>
<li>[[Income inequality: P90/P50 disposable income decile ratio]]</li>
<li>[[Income inequality: P50/P10 disposable income decile ratio]]</li>
</ul>
|description=The Atkinson Index, a welfare-based indicator of inequality, shows what proportion of a society's total income would have to be given up in order to have (more) evenly distributed incomes (more equal shares of income among its members). The Index ranges from 0 to 1. This metric is based on society’s aversion to inequality; a higher value indicates entails greater social utility or willingness by individuals to accept smaller incomes in exchange for a more equal distribution. 1 is used as the risk aversion parameter epsilon.
|codingrules=The Atkinson Index, along with the risk aversion parameter epsilon (ε) set at 1 shows what proportion of a society's total income would have to be given up in order to have (more) evenly distributed incomes (more equal shares of income among its members). The Index ranges from 0 to 1. Atkinson coefficient estimates cover all surveyed households and their members. The index is calculated using the LIS disposable household income data. Disposable Household Income (DHI) is defined as the sum of monetary and non-monetary labor income, monetary capital income, monetary social security transfers (including work-related insurance transfers, universal transfers, and assistance transfers), and non-monetary social assistance transfers, as well as monetary and non-monetary private transfers, minus the amount of income taxes and social transfers. All households where disposable income is missing are excluded.
Teorell et al. (2024:1090) define the variable as "Atkinson Index is a welfare-based measure of inequality, representing the percentage of total income that a given society would have to sacrifice in order to have (more) equally distributed incomes (more equal shares of income between its citizens). This measure depends on the degree of society
aversion to inequality, where a higher value entails greater social utility or willingness by individuals to accept smaller incomes in exchange for a more equal distribution.
In the calculation of this variable, the aversion parameter (epsilon) is set to 1.0."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li>LIS Cross-National Data Center in Luxembourg. (2022). LIS inequality and poverty key figures. https://www.lisdatacenter.org/download-key-figures/</li>
</ul>
|relatedpublications=<ul>
<li>Atkinson, A.B. (1970). On the measurement of inequality, Journal of Economic Theory, 2 (3), pp. 244-263, at:https://doi.org/10.1016/0022-0531(70)90039-6</li>
<li>Neugschwender (2020). Top and Bottom Coding at LIS. LIS - Technical Working Paper Series 9, at: https://www.lisdatacenter.org/wps/techwps/9.pdf</li>
<li>Kohli, Martin, Künemund, Harald, Schäfer, Andrea, Schupp, Jürgen and Vogel, Claudia (2006). Erbschaften und ihr Einfluss auf die Vermögensverteilung, in: Vierteljahrshefte zur Wirtschaftsforschung, 75 (1) p.58-76. https://doi.org/10.3790/vjh.75.1.58 </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset</li>
<li>LIS Cross-National Data Center in Luxembourg. (2022). LIS inequality and poverty key figures. https://www.lisdatacenter.org/download-key-figures</li>
</ul>
}}

Population, total

2024-12-12T10:50:14Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_pop_tot_unctad |category=Social structure |label=Popul..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_pop_tot_unctad
|category=Social structure
|label=Population, total
|relatedindicators=<ul>
<li>[[Population, total]]</li>
<li>[[Total male population]]</li>
<li>[[Total female population]]</li>
<li>[[Population per square kilometre]]</li>
<li>[[Total population ages 0-14]]</li>
<li>[[Total population ages 15-64]]</li>
<li>[[Total population ages 65 and above]]</li>
<li>[[Total population, both sexes]]</li>
</ul>
|description="Population, total" refers to the number of people living in a country on January 1st of the year (or December 31st of the previous year).
|codingrules=Eurostat aims to collect population data as of January 1st from EU Member States, using the concept of "usually resident population." This refers to the number of people living in a given area on January 1st of the year in question (or December 31st of the previous year). The data reported by countries may be based either on the latest census, adjusted for changes in population since the census, or on population registers. "Usual residence" is defined as the place where a person typically spends their daily rest period, excluding short-term absences for activities such as recreation, holidays, visits to family or friends, business, medical treatment, or religious pilgrimages. Only those who meet one of the following criteria are considered usual residents: individuals who have lived in the area for at least 12 consecutive months before the reference date, or those who moved to the area within the past 12 months with the intention of staying for at least one year. 
Teorell et al. (2024:564) define the variable as "Population at 1st January, total".
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/ </li>
</ul>
|relatedpublications=<ul>
<li> Eurostat (2024). Key figures on Europe – 2024 edition. Luxembourg: Publications Office of the European Union. </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, Version January 2024 </li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li>European Commission. (2023). Eurostat. http://ec.europa.eu/eurostat/data/database/</li>
</ul>
}}

Social structure

2024-12-12T10:21:30Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator Name
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name
! Scale
! Short description
! Data origin*
|-
| [[Employment to population ratio, 15+, male (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_15m
| Metric
| Measures the employment ratio of a country’s male population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15+, female (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_15f
| Metric
| Measures the employment ratio of a country’s female population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15+, total (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_15t
| Metric
| Measures the employment ratio of a country’s population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, male (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_1524m
| Metric
| Measures the employment ratio of a country’s male population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, female (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_1524f
| Metric
| Measures the employment ratio of a country’s female population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, total (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_1524t
| Metric
| Measures the employment ratio of a country’s population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, male (national estimate)]]
| Labour market participation
| Labour force participation
| Percent of male ages 15+
| socstr_lfp_pop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, female (national estimate)]]
| Labour market participation
| Labour force participation
| Percent of female ages 15+
| socstr_lfp_pop_15f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, total (national estimate)]]
| Labour market participation
| Labour force participation
| Percent of total ages 15+
| socstr_lfp_pop_15t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/total working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu3_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/female working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu3_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/male working-age population)]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu3_wpop_m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/total working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu2_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/female working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu2_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/male working-age population)]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu2_wpop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/total working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu1_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/female working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu1_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/male working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu1_wpop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Atkinson Coefficient (epsilon=0.5)]]
| Economic inequality
| Inequality measure
| Percent
| socstr_atkincoef_eps05
| Metric
| Measures income inequality of a country under considerations of further parameters like society's aversion of income inequality (LIS).
| 3rd Party Data
|-
| [[Atkinson Coefficient (epsilon=1)]]
| Economic inequality
| Inequality measure
| Percent
| socstr_atkincoef_eps1
| Metric
| Measures income inequality of a country under considerations of further parameters like society's aversion of income inequality (LIS).
| 3rd Party Data
|-
| [[Gini Coefficient (LIS)]]
| Economic inequality
| Inequality measure
| Index value
| socstr_gini_coef_lis
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the Luxembourg Income Study Database (LIS).
| 3rd Party Data
|-
| [[Gini (at disposable income post taxes & transfers)]]
| Economic inequality
| Inequality measure
| Percent
| socstr_gini_disinc_oecd
| Metric
| Measures income inequality of disposable income of a country's population after taxes and other transfers. Ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the Organisation for Economic Co-operation and Development (OECD).
| 3rd Party Data
|-
| [[Income inequality: S80/S20 disposable income quintile share]]
| Economic inequality
| Inequality measure
| Ratio
| socstr_s80s20_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile S80/S20 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P90/P10 disposable income decile ratio]]
| Economic inequality
| Inequality measure
| Ratio
| socstr_p90p10_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P90/P10 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P90/P50 disposable income decile ratio]]
| Economic inequality
| Inequality measure
| Ratio
| socstr_p90p50_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P90/P50 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P50/P10 disposable income decile ratio]]
| Economic inequality
| Inequality measure
| Ratio
| socstr_p50p10_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P50/P10 (OECD).
| 3rd Party Data
|-
| [[GINI index (World Bank estimate)]]
| Economic inequality
| Inequality measure
| Percent
| socstr_gini_ndx_wb
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the World Bank (WB).
| 3rd Party Data
|-
| [[Gini Coefficient (WIID)]]
| Economic inequality
| Inequality measure
| Index value
| socstr_gini_coef_wiid4
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the World Institute for Development Economics Research (UNU-WIDER / WIID).
| 3rd Party Data
|-
| [[Human Development Index]]
| Human Development
| Development indicator
| Index value
| socstr_hdi_undp
| Metric
| Measures average achievement of a country in various dimensions of human development like health, education and living standard (UNDP).
| 3rd Party Data
|-
| [[Relative poverty rates: Entire population]]
| Economic inequality
| Poverty measure
| Rate
| socstr_repovratetpop_oecd
| Metric
| Measures relative poverty of the entire population of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Children (age 0-17)]]
| Economic inequality
| Poverty measure
| Rate
| socstr_repovratechild_oecd
| Metric
| Measures relative poverty of children aged 0 up to 17 of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Working-age population (age 18-65)]]
| Economic inequality
| Poverty measure
| Rate
| socstr_repovratewap_oecd
| Metric
| Measures relative poverty of the working age population aged 18 up to 65 of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Retirement-age population (over 65)]]
| Economic inequality
| Poverty measure
| Rate
| socstr_repovratera_oecd
| Metric
| Measures relative poverty of the retirement-age population aged 65 and older of a country (OECD).
| 3rd Party Data
|-
| [[Poverty gap entire population]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgaptpop_oecd
| Metric
| Measures the poverty gap of a country's entire population (OECD).
| 3rd Party Data
|-
| [[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgap190_11_wb
| Metric
| Measures poverty with a poverty gap set at 1.90 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgap190_11_wb_new
| Metric
| Measures poverty with a poverty gap set at 2.15 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgap320_11_wb
| Metric
| Measures poverty with a poverty gap set at 3.20 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgap320_11_wb_new
| Metric
| Measures poverty with a poverty gap set at 3.65 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Gender Inequality Index]]
| Social inequality
| Inequality measure
| Index value
| socstr_gdi_undp
| Metric
| Measures inequality in gender based on the three dimensions reproductive health, empowerment, and labour market (UNDP).
| 3rd Party Data
|-
| [[Population, total]]
|
|
| Thousand
| socstr_pop_tot_unctad
| Metric
| Measures the total population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total male population]]
| Population
|
| Thousand
| socstr_pop_totma_pp
| Metric
| Measures the male population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total female population]]
| Population
|
| Thousands
| socstr_pop_totfe_pp
| Metric
| Measures the female population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total population, both sexes]]
| Population
|
| Thousands
| socstr_pop_tot_pp
| Metric
| Measures the total population (all residents regardless of legal status or citizenship), midyear estimates (WB).
| 3rd Party Data
|-
| [[Population per square kilometre]]
| Population
|
| People per sq. km of land area
| socstr_pop_dens_pp
| Metric
| Measures the average population per square km (EC).
| 3rd Party Data
|-
| [[Total population ages 0-14]]
| Population
|
| Percent of total population
| socstr_pop_0014to_pp
| Metric
| Measures the total population between the ages 0 to 14 as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total population ages 15-64]]
| Population
|
| Percent of total population
| socstr_pop_1564to_pp
| Metric
| Measures the total population between the ages 15 to 64 as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total population ages 65 and above]]
| Population
|
| Percent of total population
| socstr_pop_65upto_pp
| Metric
| Measures the population ages 65 and above as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total fertility rate]]
| Population
|
| Children per woman
| socstr_pop_tfr_gp
| Metric
| Measures the total number of children born to women aged 15 to 49 (OECD).
| 3rd Party Data
|-
| [[Life expectancy at birth]]
| Population
|
| Years
| socstr_pop_lex_gp
| Metric
| Measures the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life (WB).
| 3rd Party Data
|-
| [[Global Gender Gap Index]]
| Social inequality
| Inequality measure
| Index value
| socstr_si_im_gggi
| Metric
| The index benchmarks national gender gaps on economic, education, health and political criteria (WEF).
| 3rd Party Data
|-
| [[Children in employment, total ]]
| Labour market participation
| Employment
| Percent of children ages 7-14
| socstr_lm_ep_cept
| Metric
| Measures the share of children involved in economic activity aged 7 – 14 and not attending school (WB).
| 3rd Party Data
|-
| [[Children in employment, female ]]
| Labour market participation
| Employment
| Percent of female children ages 7-14
| socstr_lm_ep_cepf
| Metric
| Measures the share of female children involved in economic activity aged 7 – 14 and not attending school (WB).
| 3rd Party Data
|-
| [[Children in employment, male ]]
| Labour market participation
| Employment
| Percent of male children ages 7-14
| socstr_lm_ep_cepm
| Metric
| Measures the share of male children involved in economic activity aged 7 – 14 and not attending school (WB).
| 3rd Party Data
|-
| [[The Property Right Protection Index]]
| Economic inequality
| Inequality measure
| Index value
| socstr_prp_prp
| Metric
| The Property Rights Index assesses the security of property rights distinct from other components of the rule of law.
| 3rd Party Data
|-
| [[Global Gender Gap Economic Participation and Opportunity Subindex]]
| Social inequality
| Inequality measure
| Index value
| socstr_si_im_gggi_pos
| Metric
| Measures the gendered economic participation and opportunity (WEF).
| 3rd Party Data
|-
| [[Global Gender Gap Political Empowerment Subindex]]
| Social inequality
| Inequality measure
| Index value
| socstr_si_im_gggi_pes
| Metric
| Measures the gendered political empowerment (WEF).
| 3rd Party Data
|-
| [[Global Gender Gap Health and Survival Subindex]]
| Social inequality
| Inequality measure
| Index value
| socstr_si_im_gggi_hss
| Metric
| Measures the gendered health and survival (WEF).
| 3rd Party Data
|}

Global Gender Gap Health and Survival Subindex

2024-12-11T13:28:43Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_si_im_gggi_hss |category=Social structure |label=Globa..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi_hss
|category=Social structure
|label=Global Gender Gap Health and Survival Subindex
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Index]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Economic Participation and Opportunity Subindex]]</li>
</ul>
|description="Global Gender Gap Health and Survival Subindex" is a subindex of the "Global Gender Gap Index" that includes two components: sex ratio at birth and healthy life expectancy. The index ranges from 0 to 1, where 1 indicates no gap.
|codingrules=This subindex provides an overview of the health disparities between women and men using two indicators:
* Sex ratio at birth and
* Healthy life expectancy.
The first indicator "Sex ratio at birth" aims to capture the phenomenon of "missing women," commonly observed in countries with a strong preference for sons. The second indicator "Healthy life expectancy" measures the gap in healthy life expectancy between women and men. This metric estimates the number of years both women and men can expect to live in good health, accounting for years lost due to violence, disease, malnutrition, and other factors. 
To ensure consistency, all data is first converted to female-to-male ratios. These ratios are then truncated at the "equality benchmark," which is set at 1, indicating gender parity (equal numbers of women and men). After normalizing the indicators by equalizing their standard deviations, the subindex is calculated as the weighted average of the individual indicators. The highest possible score is 1 (gender parity), and the lowest is 0 (gender disparity).
The benchmarks for gender parity and disparity have remained consistent, enabling year-on-year comparisons and relative country rankings over time. 
Teorell et al. (2024:1316) define the variable as "Health and Survival (0 to 1, where 1 indicates no gap). This subindex provides an overview of the differences between womens and mens health through the use of two indicators. The first is the sex ratio at birth, which aims specifically to capture the phenomenon of missing women, prevalent in many countries with a strong son preference. Second, we use the gap between womens and mens
healthy life expectancy. This measure provides an estimate of the number of years that women and men can expect to live in good health by taking into account the years lost to violence, disease, malnutrition and other relevant factors."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}

Global Gender Gap Index

2024-12-11T13:20:18Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi
|category=Social structure
|label=Global Gender Gap Index
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Economic Participation and Opportunity Subindex]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description=The "Global Gender Gap Index" is an annual assessment that tracks the current status and progress of gender parity across four key areas: Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment. The Index measures scores on a scale of 0 to 1, where the score reflects the extent of progress made toward closing the gender gap—essentially indicating the percentage of the gap that has been eliminated.
|codingrules=To quantify the gender gap, the Global Gender Gap Index is calculated based on a total of 14 social indicators across four areas. The index values are expressed as percentages, representing the level of equality achieved so far. It focuses on measuring gaps in outcome variables and ranks countries according to gender equality.
Teorell et al. (2024:1315) define the variable as "The Global Gender Gap Index (0 to 1, where 1 indicates no gap) examines the gap between men and women in four fundamental categories (subindexes): Economic Participation and Opportunity, Educational Attainment, Health and Survival and Political Empowerment."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}


{{#default_form:IndicatorForm}}

Global Gender Gap Political Empowerment Subindex

2024-12-11T13:17:20Z

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi_pes
|category=Social structure
|label=Global Gender Gap Political Empowerment Subindex
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Index]]</li>
<li>[[Global Gender Gap Economic Participation and Opportunity Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description="Global Gender Gap Political Empowerment Subindex" is a subindex of the "Global Gender Gap Index" that measures the gender gap in political decision-making by looking at the ratio of women to men in key political positions. The index ranges from 0 to 1, where 1 indicates no gap.
|codingrules=This subindex measures the gender gap in political decision-making by looking at the ratio of women to men in key political positions:
* Women in parliament
* Women in ministerial positions and
* Years with female/male head of state (last 50).
Currently, the participation of women and men at local levels of government is not included in the index. However, if such data becomes available for global comparison in future years, it will be considered for inclusion in the index.
To ensure consistency, all data is first converted to female-to-male ratios. These ratios are then truncated at the "equality benchmark," which is set at 1, indicating gender parity (equal numbers of women and men). After normalizing the indicators by equalizing their standard deviations, the subindex is calculated as the weighted average of the individual indicators. The highest possible score is 1 (gender parity), and the lowest is 0 (gender disparity).
The benchmarks for gender parity and disparity have remained consistent, enabling year-on-year comparisons and relative country rankings over time. 
Teorell et al. (2024:1316) define the variable as "Political Empowerment (0 to 1, where 1 indicates no gap). This subindex measures the gap between men and women at the highest level of political decision-making through the ratio of women to men in ministerial positions and the ratio of women to men in parliamentary positions. In addition,
weve included the ratio of women to men in terms of years in executive office (prime minister or president) for the last 50 years. A clear drawback in this category is the absence of any indicators capturing differences between the participation of women and men at local levels of government. Should such data become available at a globally comparative level in future years, it will be considered for inclusion in the Index."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}

Global Gender Gap Economic Participation and Opportunity Subindex

2024-12-11T13:07:32Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi_pos
|category=Social structure
|label=Global Gender Gap Economic Participation and Opportunity Subindex
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Index]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description="Global Gender Gap Economic Participation and Opportunity Subindex" is a subindex of the "Global Gender Gap Index" that includes three key components: the participation gap, the remuneration gap, and the advancement gap. The index ranges from 0 to 1, where 1 indicates no gap.
|codingrules=This subindex includes three main components: the participation gap, the remuneration gap, and the advancement gap.
* The participation gap is measured by the difference in labor force participation rates between women and men (ILO).
* The remuneration gap is assessed using two indicators: a hard data indicator (the ratio of estimated female-to-male earned income) (ILO) and a qualitative indicator from the World Economic Forum’s annual Executive Opinion Survey, which examines wage equality for similar work.
* The advancement gap is measured by two hard data statistics: the ratio of women to men among legislators, senior officials, and managers, and the ratio of women to men among technical and professional workers (ILO). 
To ensure consistency, all data is first converted to female-to-male ratios. These ratios are then truncated at the "equality benchmark," which is set at 1, indicating gender parity (equal numbers of women and men). After normalizing the indicators by equalizing their standard deviations, the subindex is calculated as the weighted average of the individual indicators. The highest possible score is 1 (gender parity), and the lowest is 0 (gender disparity).
The benchmarks for gender parity and disparity have remained consistent, enabling year-on-year comparisons and relative country rankings over time. 

Teorell et al. (2024:1317) define the variable as "Economic Participation and Opportunity (0 to 1, where 1 indicates no gap). This subindex contains three concepts: the participation gap, the remuneration gap and the advancement gap. The participation gap is captured using the difference between women and men in labour force participation rates. The remuneration gap is captured through a hard data indicator (ratio of estimated
female-to-male earned income) and a qualitative indicator gathered through the World Economic Forum’s annual Executive Opinion Survey (wage equality for similar work). Finally, the gap between the advancement of women and men is captured through two hard data statistics (the ratio of women to men among legislators, senior officials and managers, and the ratio of women to men among technical and professional workers)."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}

Global Gender Gap Economic Participation and Opportunity Subindex

2024-12-11T13:07:08Z

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi_pos
|category=Social structure
|label=Global Gender Gap Economic Participation and Opportunity Subindex
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Index]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description="Global Gender Gap Economic Participation and Opportunity Subindex" is a subindex of the "Global Gender Gap Index" that includes three key components: the participation gap, the remuneration gap, and the advancement gap. The index ranges from 0 to 1, where 1 indicates no gap.
|codingrules=This subindex includes three main components: the participation gap, the remuneration gap, and the advancement gap.
* The participation gap is measured by the difference in labor force participation rates between women and men (ILO).
* The remuneration gap is assessed using two indicators: a hard data indicator (the ratio of estimated female-to-male earned income) (ILO) and a qualitative indicator from the World Economic Forum’s annual Executive Opinion Survey, which examines wage equality for similar work.
* The advancement gap is measured by two hard data statistics: the ratio of women to men among legislators, senior officials, and managers, and the ratio of women to men among technical and professional workers (ILO). 
To ensure consistency, all data is first converted to female-to-male ratios. These ratios are then truncated at the "equality benchmark," which is set at 1, indicating gender parity (equal numbers of women and men). After normalizing the indicators by equalizing their standard deviations, the subindex is calculated as the weighted average of the individual indicators. The highest possible score is 1 (gender parity), and the lowest is 0 (gender disparity).
The benchmarks for gender parity and disparity have remained consistent, enabling year-on-year comparisons and relative country rankings over time.
Teorell et al. (2024:1317) define the variable as "Economic Participation and Opportunity (0 to 1, where 1 indicates no gap). This subindex contains three concepts: the participation gap, the remuneration gap and the advancement gap. The participation gap is captured using the difference between women and men in labour force participation rates. The remuneration gap is captured through a hard data indicator (ratio of estimated
female-to-male earned income) and a qualitative indicator gathered through the World Economic Forum’s annual Executive Opinion Survey (wage equality for similar work). Finally, the gap between the advancement of women and men is captured through two hard data statistics (the ratio of women to men among legislators, senior officials and managers, and the ratio of women to men among technical and professional workers)."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}

Global Gender Gap Index

2024-12-11T12:51:27Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi
|category=Social structure
|label=Global Gender Gap Index
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Economic Participation and Opportunity Subindex]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description=The "Global Gender Gap Index" is an annual assessment that tracks the current status and progress of gender parity across four key areas: Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment. The Index measures scores on a scale of 0 to 100, where the score reflects the extent of progress made toward closing the gender gap—essentially indicating the percentage of the gap that has been eliminated.
|codingrules=To quantify the gender gap, the Global Gender Gap Index is calculated based on a total of 14 social indicators across four areas. The index values are expressed as percentages, representing the level of equality achieved so far. It focuses on measuring gaps in outcome variables and ranks countries according to gender equality.
Teorell et al. (2024:1315) define the variable as "The Global Gender Gap Index (0 to 1, where 1 indicates no gap) examines the gap between men and women in four fundamental categories (subindexes): Economic Participation and Opportunity, Educational Attainment, Health and Survival and Political Empowerment."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}


{{#default_form:IndicatorForm}}

Global Gender Gap Index

2024-12-11T12:50:54Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi
|category=Social structure
|label=Global Gender Gap Index
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Economic Participation and Opportunity Subindex]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description=The "Global Gender Gap Index" is an annual assessment that tracks the current status and progress of gender parity across four key areas: Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment. The Index measures scores on a scale of 0 to 100, where the score reflects the extent of progress made toward closing the gender gap—essentially indicating the percentage of the gap that has been eliminated.
|codingrules=To quantify the gender gap, the Global Gender Gap Index is calculated based on a total of 14 social indicators across four areas. The index values are expressed as percentages, representing the level of equality achieved so far. It focuses on measuring gaps in outcome variables and ranks countries according to gender equality rather than women’s empowerment.
Teorell et al. (2024:1315) define the variable as "The Global Gender Gap Index (0 to 1, where 1 indicates no gap) examines the gap between men and women in four fundamental categories (subindexes): Economic Participation and Opportunity, Educational Attainment, Health and Survival and Political Empowerment."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}


{{#default_form:IndicatorForm}}

Global Gender Gap Index

2024-12-11T12:35:17Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_si_im_gggi
|category=Social structure
|label=Global Gender Gap Index
|relatedindicators=<ul>
<li>[[Gender Inequality Index]]</li>
<li>[[Global Gender Gap Economic Participation and Opportunity Subindex]]</li>
<li>[[Global Gender Gap Political Empowerment Subindex]]</li>
<li>[[Global Gender Gap Health and Survival Subindex]]</li>
</ul>
|description=The "Global Gender Gap Index" is an annual assessment that tracks the current status and progress of gender parity across four key areas: Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment. The Index measures scores on a scale of 0 to 100, where the score reflects the extent of progress made toward closing the gender gap—essentially indicating the percentage of the gap that has been eliminated.
|codingrules=To quantify the gender gap, the Global Gender Gap Index is calculated based on a total of 14 social indicators across four areas. The index values are expressed as percentages, representing the level of equality achieved so far.
Teorell et al. (2024:1315) define the variable as "The Global Gender Gap Index (0 to 1, where 1 indicates no gap) examines the gap between men and women in four fundamental categories (subindexes): Economic Participation and Opportunity, Educational Attainment, Health and Survival and Political Empowerment."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
|relatedpublications=<ul>
<li>Kusum Kali Pal, Kim Piaget, and Saadia Zahidi (2024). Global Gender Gap Report 2024.
World Economic Forum. Available at https://www.weforum.org/publications/global-gender-gap-report-2024/ </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24 </li>
<li> Welzel, C. (2013). Freedom rising: Human empowerment and the quest for emancipation (1st ed.). Cambridge University Press. </li>
<li> World Economic Forum. (2023). The global gender gap report 2023. World Economic Forum. https://www.weforum.org/publications/global-gender-gap-report-2023/ </li>
</ul>
}}


{{#default_form:IndicatorForm}}

The Property Right Protection Index

2024-12-11T11:51:15Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_prp_prp
|category=Social structure
|label=The Property Right Protection Index
|relatedindicators=<ul>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "The Property Right Protection Index", which spans 191 countries from 1994 to 2015, measures the level of protection for property rights. An increase in the index score signifies an improvement in property rights protection. The index ranges from a theoretical minimum of 0 (representing no protection) to a maximum of 100 (indicating complete protection).
|codingrules=Ouattara and Standaert (2020) developed a new property rights index that specifically focuses on the protection of these rights. Like many governance indicators, objective data for directly comparing the security of property rights across countries is scarce. As a result, perception-based indicators, such as survey data or expert assessments, are typically used to gauge the views of various stakeholders. The researchers combine a dataset of 18 such indicators from 7 different sources. The selection of these indicators depends on their ability to directly measure the extent to which a country's laws safeguard private property rights and how effectively the government enforces these laws, including the likelihood of expropriation. By concentrating solely on property rights, this approach enables the researchers to isolate their impact from other factors like the overall quality of the judicial system or broader institutional frameworks, ensuring a more precise alignment between theoretical models and empirical tests of property rights’ effects. This index is applied to as broad a set of countries and as long a time period as possible, covering 191 countries over a 20-year period from 1994 to 2014.
Teorell et al. (2024:1327) define the variable as "The Poperty Rights Index measures (the perception of) the security of property rights, separately from other aspects of the rule of laws. It combines all publicly available information on the perception of the security of property rights (18 singular indicators of property rights)."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Ouattara, Bazoumana, and Standaert, Samuel (2020). Property rights revisited. European Journal of Political Economy, 64, 101895. https://doi.org/https://doi.org/10.1016/j.ejpoleco.2020.101895</li>
</ul>
|relatedpublications=<ul>
<li>Bennett, Daniel L. (2024). Chapter 15: Economic freedom and inequality: a survey of the empirical literature. In Handbook of Research on Economic Freedom, Cheltenham, UK: Edward Elgar Publishing. available from: < https://doi.org/10.4337/9781802206159.00025> [Accessed 14 August 2024]</li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Ouattara, Bazoumana, and Standaert, Samuel (2020). Property rights revisited. European Journal of Political Economy, 64, 101895. https://doi.org/https://doi.org/10.1016/j.ejpoleco.2020.101895</li>
</ul>
}}

Poverty gap at dollar 3.65 a day (2017 PPP) (%)

2024-12-11T11:30:24Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_povgap320_11_wb_new |category=Social structure |label=..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_povgap320_11_wb_new
|category=Social structure
|label=Poverty gap at dollar 3.65 a day (2017 PPP) (%)
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Poverty gap at dollar 3.65 a day (2017 PPP) (%)" measures the percentage of the population living on less than $3.65 a day, adjusted for 2017 international prices (in terms of 2017 purchasing power parity (PPP)). This poverty line reflects the value of national poverty lines in the world’s countries classified as lower-middle-income countries.
|codingrules=The variable measures the percentage of the population living on less than $3.65 a day, adjusted for 2017 international prices. Using the poverty threshold of less than $3.65 a day allows for the aggregation and comparison of poverty rates across countries, ensuring a consistent real standard of living is used in each case. PPP exchange rates are employed to estimate global poverty because they account for differences in prices between countries. However, PPP rates were designed primarily for comparing national accounts and may not be perfectly suited for international poverty comparisons. Consequently, the international poverty line may not reflect the same level of need or deprivation in every country it is applied to. To ensure consistent comparisons across countries with different poverty definitions, a common standard for measuring extreme poverty is defined, reflecting what poverty means in the lower-middle-income countries. Despite efforts to standardize the poverty line, comparability across countries remains challenging. Even similar surveys may not be directly comparable due to differences in timing, survey methods, or the quality and training of enumerators. Additionally, comparisons between countries at different levels of development may face difficulties, particularly due to the varying significance of non-market goods (such as home-grown food) in consumption. Although most surveys now include estimations for the value of own production, the methods for valuing such goods can vary, further complicating cross-country comparisons.
Teorell et al. (2024:1579) define the variable as "Poverty gap at $3.65 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $3.65 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=<ul>
<li>Tetteh Baah, Samuel Kofi; Jolliffe, Dean Mitchell; Mahler, Daniel Gerszon; Lakner, Christoph; Atamanov, Aziz. (2022). Assessing the Impact of the 2017 PPPs on the International Poverty Line and Global Poverty. Policy Research Working Paper; 9941. Washington, DC: World Bank. http://hdl.handle.net/10986/37061 License: CC BY 3.0 IGO; at: https://openknowledge.worldbank.org/entities/publication/b7181197-311d-5721-9f84-bad27677e2f3</li>
<li>World Bank. (2024). Poverty and Inequality Platform Methodology Handbook. Edition 2024-09. Available at https://datanalytics.worldbank.org/PIP-Methodology/</li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset</li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Poverty gap at dollar 2.15 a day (2017 PPP) (%)

2024-12-11T11:20:54Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_povgap190_11_wb_new
|category=Social structure
|label=Poverty gap at dollar 2.15 a day (2017 PPP) (%)
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Poverty gap at dollar 2.15 a day (2017 PPP) (%)" measures the percentage of the population living on less than $2.15 a day, adjusted for 2017 international prices (in terms of 2017 purchasing power parity (PPP)). This poverty line, which reflects the value of national poverty lines in some of the world’s poorest countries, is often referred to as the extreme poverty line. The international extreme poverty line of $2.15 per day represents the median national poverty line of 28 low-income countries.
|codingrules=The variable measures the percentage of the population living on less than $2.15 a day, adjusted for 2017 international prices. Using the poverty threshold of less than $2.15 a day allows for the aggregation and comparison of poverty rates across countries, ensuring a consistent real standard of living is used in each case. PPP exchange rates are employed to estimate global poverty because they account for differences in prices between countries. However, PPP rates were designed primarily for comparing national accounts and may not be perfectly suited for international poverty comparisons. Consequently, the international poverty line may not reflect the same level of need or deprivation in every country it is applied to. To ensure consistent comparisons across countries with different poverty definitions, a common standard for measuring extreme poverty is defined, reflecting what poverty means in the world's poorest countries. The widely used $1-a-day standard, initially measured in 1985 international prices and adjusted for local currencies using PPPs, has been periodically updated, with the most recent adjustment in September 2022, raising the line to $2.15 using the 2017 PPP. This new poverty line maintains the same extreme poverty standard but incorporates the latest data on the cost of living in developing countries. Despite efforts to standardize the poverty line, comparability across countries remains challenging. Even similar surveys may not be directly comparable due to differences in timing, survey methods, or the quality and training of enumerators. Additionally, comparisons between countries at different levels of development may face difficulties, particularly due to the varying significance of non-market goods (such as home-grown food) in consumption. Although most surveys now include estimations for the value of own production, the methods for valuing such goods can vary, further complicating cross-country comparisons.
Teorell et al. (2024:1578) define the variable as "Poverty headcount ratio at $2.15 a day is the percentage of the population living on less than $2.15 a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=<ul>
<li>Tetteh Baah, Samuel Kofi; Jolliffe, Dean Mitchell; Mahler, Daniel Gerszon; Lakner, Christoph; Atamanov, Aziz. (2022). Assessing the Impact of the 2017 PPPs on the International Poverty Line and Global Poverty. Policy Research Working Paper; 9941. Washington, DC: World Bank. http://hdl.handle.net/10986/37061 License: CC BY 3.0 IGO; at: https://openknowledge.worldbank.org/entities/publication/b7181197-311d-5721-9f84-bad27677e2f3</li>
<li>World Bank. (2024). Poverty and Inequality Platform Methodology Handbook. Edition 2024-09. Available at https://datanalytics.worldbank.org/PIP-Methodology/</li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset</li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Poverty gap entire population

2024-12-11T11:20:18Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_povgaptpop_oecd
|category=Social structure
|label=Poverty gap entire population
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Poverty gap for the entire population" is a measure of relative poverty that indicates its depth, specifically showing how much the income of the poor falls below the poverty line (referred to as the "poverty gap"). The ratio reflects how much the average income of the poor falls below the poverty line, which is defined as half of the median household income of the entire population.
|codingrules=The poverty gap is the ratio that reflects how much the average income of the poor falls below the poverty line, which is defined as half of the median household income of the entire population. The poverty gap complements the poverty rate by offering a clearer picture of the severity of poverty in a country. This indicator is measured for the total population, as well as for specific age groups, including those aged 18-65 years and individuals over 65. Poverty lines are determined based on the overall population and are subsequently used to calculate poverty rates for specific subgroups (such as children and the elderly). While the poverty lines stay consistent within a given dataset, the subgroups can vary when calculating poverty gaps. The poverty line is defined as half of the median household income of the entire population. The affected population is categorized into broad age groups: working-age poverty (ages 18-65) and elderly poverty (ages 66 and older). 
Teorell et al. (2024:357) define the variable as "Poverty gap entire population, average score across all age groups."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
|relatedpublications=Förster, Michael F. and Marco Mira D'Ercole (2005). Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s. Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s, OECD Social, Employment and Migration Working Papers, No. 22, OECD Publishing, Paris, https://doi.org/10.1787/882106484586.
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
}}

Relative poverty rates: Retirement-age population (over 65)

2024-12-11T11:20:00Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_repovratera_oecd
|category=Social structure
|label=Relative poverty rates: Retirement-age population (over 65)
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Relative poverty rates: Retirement-age population (over 65)" is a measure of relative poverty that represents the proportion of individuals aged above 65 living in poverty compared to the total population in that same age group.
|codingrules=The "poverty rate," a dimension of relative poverty, pertains to the prevalence of poverty, specifically the number of individuals in a country who live below the poverty line. This indicator is calculated as the ratio of the population aged above 65 living in poverty to the total population in the same age group. Poverty lines are determined based on the overall population and are subsequently used to calculate poverty rates for specific subgroups (such as children and the elderly). While the poverty lines stay consistent within a given dataset, the subgroups can vary when calculating poverty rates. The poverty line is defined as half of the median household income of the entire population. The affected population is categorized into broad age groups: child poverty (ages 0-17), working-age poverty (ages 18-65), and elderly poverty (ages 66 and older). It's important to note that countries with similar poverty rates may have differences in the relative income levels of those living in poverty.
Teorell et al. (2024:356) define the variable as "Relative poverty rates: retirement-age population (over 65)."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
|relatedpublications=Förster, Michael F. and Marco Mira D'Ercole (2005). Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s. Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s, OECD Social, Employment and Migration Working Papers, No. 22, OECD Publishing, Paris, https://doi.org/10.1787/882106484586.
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
}}

Relative poverty rates: Working-age population (age 18-65)

2024-12-11T11:19:39Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_repovratewap_oecd
|category=Social structure
|label=Relative poverty rates: Working-age population (age 18-65)
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Relative poverty rates: Working-age population (age 18-65)" is a measure of relative poverty that represents the proportion of individuals aged 18-65 living in poverty compared to the total population in that same age group.
|codingrules=The "poverty rate," a dimension of relative poverty, pertains to the prevalence of poverty, specifically the number of individuals in a country who live below the poverty line. This indicator is calculated as the ratio of the population aged 18-65 living in poverty to the total population in the same age group. Poverty lines are determined based on the overall population and are subsequently used to calculate poverty rates for specific subgroups (such as children and the elderly). While the poverty lines stay consistent within a given dataset, the subgroups can vary when calculating poverty rates. The poverty line is defined as half of the median household income of the entire population. The affected population is categorized into broad age groups: child poverty (ages 0-17), working-age poverty (ages 18-65), and elderly poverty (ages 66 and older). It's important to note that countries with similar poverty rates may have differences in the relative income levels of those living in poverty.
Teorell et al. (2024:355) define the variable as "Relative poverty rates: working-age population (age 18-65)"
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
|relatedpublications=Förster, Michael F. and Marco Mira D'Ercole (2005). Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s. Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s, OECD Social, Employment and Migration Working Papers, No. 22, OECD Publishing, Paris, https://doi.org/10.1787/882106484586.
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
}}

Relative poverty rates: Children (age 0-17)

2024-12-11T11:18:55Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_repovratechild_oecd
|category=Social structure
|label=Relative poverty rates: Children (age 0-17)
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Relative poverty rates: Children (age 0-17)" is a measure of relative poverty that represents the proportion of individuals aged 0-17 living in poverty compared to the total population in that same age group.
|codingrules=The "poverty rate," a dimension of relative poverty, pertains to the prevalence of poverty, specifically the number of individuals in a country who live below the poverty line. This indicator is calculated as the ratio of the population aged 0-17 living in poverty to the total population in the same age group. Poverty lines are determined based on the overall population and are subsequently used to calculate poverty rates for specific subgroups (such as children and the elderly). While the poverty lines stay consistent within a given dataset, the subgroups can vary when calculating poverty rates. The poverty line is defined as half of the median household income of the entire population. The affected population is categorized into broad age groups: child poverty (ages 0-17), working-age poverty (ages 18-65), and elderly poverty (ages 66 and older). It's important to note that countries with similar poverty rates may have differences in the relative income levels of those living in poverty.
Teorell et al. (2024:355) define the variable as "Relative poverty rates: Children (age 0-17)."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
|relatedpublications=Förster, Michael F. and Marco Mira D'Ercole (2005). Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s. Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s, OECD Social, Employment and Migration Working Papers, No. 22, OECD Publishing, Paris, https://doi.org/10.1787/882106484586.
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
}}

Relative poverty rates: Entire population

2024-12-11T11:18:33Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=not applicable
|techname=socstr_repovratetpop_oecd
|category=Social structure
|label=Relative poverty rates: Entire population
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Relative poverty rates: Entire population" a measure of relative poverty, refers to the proportion of individuals in a country whose income falls below the poverty line relative to the imcome of the entire population in a country.
|codingrules=The "poverty rate," a dimension of relative poverty, pertains to the prevalence of poverty, specifically the number of individuals in a country who live below the poverty line. This indicator is measured as a ratio of the population. Poverty lines are determined based on the overall population and are subsequently used to calculate poverty rates for specific subgroups (such as children and the elderly). While the poverty lines stay consistent within a given dataset, the subgroups can vary when calculating poverty rates. The poverty line is defined as half of the median household income of the entire population. The affected population is categorized into broad age groups: child poverty (ages 0-17), working-age poverty (ages 18-65), and elderly poverty (ages 66 and older). It's important to note that countries with similar poverty rates may have differences in the relative income levels of those living in poverty.
Teorell et al. (2024:354) define the variable as "Ratio of the number of people whose income falls below the poverty line, taken as half the median household income of the total population."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
|relatedpublications=Förster, Michael F. and Marco Mira D'Ercole (2005). Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s. Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s, OECD Social, Employment and Migration Working Papers, No. 22, OECD Publishing, Paris, https://doi.org/10.1787/882106484586.
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
}}

Human Development Index

2024-12-11T11:18:05Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=not applicable
|techname=socstr_hdi_undp
|category=Social structure
|label=Human Development Index
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The Human Development Index (HDI) is a composite indicator that reflects average performance in three crucial aspects of human development: living a long and healthy life, acquiring knowledge, and enjoying a reasonable standard of living. The HDI is calculated as the geometric mean of normalized indices for each of these three dimensions. It ranges from 0 to 1. The closer the score is to 1, the better the country is performing.
|codingrules=The HDI is derived from four key indicators: life expectancy at birth (in years), expected years of schooling (in years), mean years of schooling (in years), and GNI per capita (in 2017 PPP$). The calculation involves two main steps. First, the minimum and maximum values (goalposts) are established for each indicator to convert them into indices ranging from 0 to 1. These goalposts represent "natural zeros" and "aspirational targets," which help standardize the component indicators. After defining the minimum and maximum values, the dimension index is calculated using the formula: 
Dimension index = (actual value - minimum value) / (maximum value - minimum value). 
For the education dimension, this formula is applied to each of the two education indicators, and the arithmetic mean of the resulting indices is taken. Since each dimension index reflects capabilities in the corresponding area, the transformation from income to capabilities is assumed to be concave (Anand and Sen, 2000), meaning that each additional dollar of income has a diminishing impact on expanding capabilities. As a result, for income, the natural logarithm of the actual, minimum, and maximum values is used. 
The second step is to aggregate the dimensions: the HDI is the geometric mean of the three dimension indices, calculated as: 
HDI = (IHealth × IEducation × IIncome)^(1/3). 

For more information, see "Human Develoment Report 2023/2024 technical notes" https://hdr.undp.org/sites/default/files/2023-24_HDR/hdr2023-24_technical_notes.pdf and "Human Development Index (HDI)" https://hdr.undp.org/data-center/human-development-index#/indicies/HDI (Accessed August 14, 2024). 

Teorell et al. (2024:922pp) define the variable as "The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate
about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and having a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The closer the score is to 1, the better the country is doing. The health dimension is assessed by life expectancy at birth, the education dimension is measured by mean of years of schooling for adults aged 25 years and more and expected years of schooling for children of school entering age. The standard of living dimension is measured by gross national income per capita. The HDI uses the logarithm of income, to reflect the diminishing importance of income with increasing GNI. The scores for the three HDI dimension indices are then aggregated into a composite index using geometric mean. Refer to Technical notes for more details. The HDI simplifies and captures only part of what human development entails. It does not reflect on inequalities, poverty, human security, empowerment, etc. The HDRO offers the other composite indices as broader proxy on some of the key issues of human development, inequality, gender disparity
and human poverty."
|citation=<ul>
<li> Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset</li>
<li>United Nations Development Program. (2022). Human development report 2021/2022. https://hdr.undp.org/content/human-development-report-2021-22</li>
</ul>
|relatedpublications=<ul>
<li> UNDP (United Nations Development Programme) (2024). Human Development Report 2023-24: Breaking the gridlock: Reimagining cooperation in a polarized world. New York.</li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset</li>
<li>United Nations Development Program. (2022). Human development report 2021/2022. https://hdr.undp.org/content/human-development-report-2021-22</li>
</ul>
}}

Poverty gap at dollar 2.15 a day (2017 PPP) (%)

2024-12-11T11:16:21Z

ASchaefer: Created page with "{{IndicatorForm |datatype=Numeric |scale=Metric |scale=Metric |scale=Metric |valuelabels=Not applicable |techname=socstr_povgap190_11_wb_new |category=Social structure |label=..."

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_povgap190_11_wb_new
|category=Social structure
|label=Poverty gap at dollar 2.15 a day (2017 PPP) (%)
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap entire population]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Poverty gap at dollar 2.15 a day (2017 PPP) (%)" measures the percentage of the population living on less than $2.15 a day, adjusted for 2017 international prices (in terms of 2017 purchasing power parity (PPP)). This poverty line, which reflects the value of national poverty lines in some of the world’s poorest countries, is often referred to as the extreme poverty line. The international extreme poverty line of $2.15 per day represents the median national poverty line of 28 low-income countries.
|codingrules=The variable measures the percentage of the population living on less than $2.15 a day, adjusted for 2017 international prices. Using the poverty threshold of less than $2.15 a day allows for the aggregation and comparison of poverty rates across countries, ensuring a consistent real standard of living is used in each case. PPP exchange rates are employed to estimate global poverty because they account for differences in prices between countries. However, PPP rates were designed primarily for comparing national accounts and may not be perfectly suited for international poverty comparisons. Consequently, the international poverty line may not reflect the same level of need or deprivation in every country it is applied to. To ensure consistent comparisons across countries with different poverty definitions, a common standard for measuring extreme poverty is defined, reflecting what poverty means in the world's poorest countries. The widely used $1-a-day standard, initially measured in 1985 international prices and adjusted for local currencies using PPPs, has been periodically updated, with the most recent adjustment in September 2022, raising the line to $2.15 using the 2017 PPP. This new poverty line maintains the same extreme poverty standard but incorporates the latest data on the cost of living in developing countries. Despite efforts to standardize the poverty line, comparability across countries remains challenging. Even similar surveys may not be directly comparable due to differences in timing, survey methods, or the quality and training of enumerators. Additionally, comparisons between countries at different levels of development may face difficulties, particularly due to the varying significance of non-market goods (such as home-grown food) in consumption. Although most surveys now include estimations for the value of own production, the methods for valuing such goods can vary, further complicating cross-country comparisons.
Teorell et al. (2024:1578) define the variable as "Poverty headcount ratio at $2.15 a day is the percentage of the population living on less than $2.15 a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=<ul>
<li>Tetteh Baah, Samuel Kofi; Jolliffe, Dean Mitchell; Mahler, Daniel Gerszon; Lakner, Christoph; Atamanov, Aziz. (2022). Assessing the Impact of the 2017 PPPs on the International Poverty Line and Global Poverty. Policy Research Working Paper; 9941. Washington, DC: World Bank. http://hdl.handle.net/10986/37061 License: CC BY 3.0 IGO; at: https://openknowledge.worldbank.org/entities/publication/b7181197-311d-5721-9f84-bad27677e2f3</li>
<li>World Bank. (2024). Poverty and Inequality Platform Methodology Handbook. Edition 2024-09. Available at https://datanalytics.worldbank.org/PIP-Methodology/</li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li> Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset</li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Social structure

2024-12-11T10:50:53Z

ASchaefer:

{|class="wikitable sortable" border="1"
|-
! Indicator Name
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name
! Scale
! Short description
! Data origin*
|-
| [[Employment to population ratio, 15+, male (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_15m
| Metric
| Measures the employment ratio of a country’s male population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15+, female (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_15f
| Metric
| Measures the employment ratio of a country’s female population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15+, total (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_15t
| Metric
| Measures the employment ratio of a country’s population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, male (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_1524m
| Metric
| Measures the employment ratio of a country’s male population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, female (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_1524f
| Metric
| Measures the employment ratio of a country’s female population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Employment to population ratio, 15-24, total (national estimate)]]
| Labour market participation
| Employment
| Percent
| socstr_emp_pop_1524t
| Metric
| Measures the employment ratio of a country’s population aged 15 to 24 (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, male (national estimate)]]
| Labour market participation
| Labour force participation
| Percent of male ages 15+
| socstr_lfp_pop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, female (national estimate)]]
| Labour market participation
| Labour force participation
| Percent of female ages 15+
| socstr_lfp_pop_15f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force participation rate, 15+, total (national estimate)]]
| Labour market participation
| Labour force participation
| Percent of total ages 15+
| socstr_lfp_pop_15t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/total working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu3_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/female working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu3_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with advanced education/male working-age population)]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu3_wpop_m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained an advanced level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/total working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu2_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/female working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu2_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with intermediate education/male working-age population)]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu2_wpop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained an intermediate level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/total working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu1_wpop_t
| Metric
| Measures the economically active proportion of a country's population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/female working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu1_wpop_f
| Metric
| Measures the economically active proportion of a country's female population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Labor force with basic education/male working-age population]]
| Labour market participation
| Education
| Percent
| socstr_lfpedu1_wpop_15m
| Metric
| Measures the economically active proportion of a country's male population aged 15 or older and gained a basic level of education (WBG).
| 3rd Party Data
|-
| [[Atkinson Coefficient (epsilon=0.5)]]
| Economic inequality
| Inequality measure
| Percent
| socstr_atkincoef_eps05
| Metric
| Measures income inequality of a country under considerations of further parameters like society's aversion of income inequality (LIS).
| 3rd Party Data
|-
| [[Atkinson Coefficient (epsilon=1)]]
| Economic inequality
| Inequality measure
| Percent
| socstr_atkincoef_eps1
| Metric
| Measures income inequality of a country under considerations of further parameters like society's aversion of income inequality (LIS).
| 3rd Party Data
|-
| [[Gini Coefficient (LIS)]]
| Economic inequality
| Inequality measure
| Index value
| socstr_gini_coef_lis
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the Luxembourg Income Study Database (LIS).
| 3rd Party Data
|-
| [[Gini (at disposable income post taxes & transfers)]]
| Economic inequality
| Inequality measure
| Percent
| socstr_gini_disinc_oecd
| Metric
| Measures income inequality of disposable income of a country's population after taxes and other transfers. Ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the Organisation for Economic Co-operation and Development (OECD).
| 3rd Party Data
|-
| [[Income inequality: S80/S20 disposable income quintile share]]
| Economic inequality
| Inequality measure
| Ratio
| socstr_s80s20_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile S80/S20 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P90/P10 disposable income decile ratio]]
| Economic inequality
| Inequality measure
| Ratio
| socstr_p90p10_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P90/P10 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P90/P50 disposable income decile ratio]]
| Economic inequality
| Inequality measure
| Ratio
| socstr_p90p50_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P90/P50 (OECD).
| 3rd Party Data
|-
| [[Income inequality: P50/P10 disposable income decile ratio]]
| Economic inequality
| Inequality measure
| Ratio
| socstr_p50p10_disinc_oecd
| Metric
| Measures income inequality as ratio of the disposable income decile P50/P10 (OECD).
| 3rd Party Data
|-
| [[GINI index (World Bank estimate)]]
| Economic inequality
| Inequality measure
| Percent
| socstr_gini_ndx_wb
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the World Bank (WB).
| 3rd Party Data
|-
| [[Gini Coefficient (WIID)]]
| Economic inequality
| Inequality measure
| Index value
| socstr_gini_coef_wiid4
| Metric
| Measures income inequality of a country's population and ranges between absolute income inequality and equal distribution of income. This Gini Coeffizient is based on calculation from the World Institute for Development Economics Research (UNU-WIDER / WIID).
| 3rd Party Data
|-
| [[Human Development Index]]
| Human Development
| Development indicator
| Index value
| socstr_hdi_undp
| Metric
| Measures average achievement of a country in various dimensions of human development like health, education and living standard (UNDP).
| 3rd Party Data
|-
| [[Relative poverty rates: Entire population]]
| Economic inequality
| Poverty measure
| Rate
| socstr_repovratetpop_oecd
| Metric
| Measures relative poverty of the entire population of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Children (age 0-17)]]
| Economic inequality
| Poverty measure
| Rate
| socstr_repovratechild_oecd
| Metric
| Measures relative poverty of children aged 0 up to 17 of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Working-age population (age 18-65)]]
| Economic inequality
| Poverty measure
| Rate
| socstr_repovratewap_oecd
| Metric
| Measures relative poverty of the working age population aged 18 up to 65 of a country (OECD).
| 3rd Party Data
|-
| [[Relative poverty rates: Retirement-age population (over 65)]]
| Economic inequality
| Poverty measure
| Rate
| socstr_repovratera_oecd
| Metric
| Measures relative poverty of the retirement-age population aged 65 and older of a country (OECD).
| 3rd Party Data
|-
| [[Poverty gap entire population]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgaptpop_oecd
| Metric
| Measures the poverty gap of a country's entire population (OECD).
| 3rd Party Data
|-
| [[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgap190_11_wb
| Metric
| Measures poverty with a poverty gap set at 1.90 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 2.15 a day (2017 PPP) (%)]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgap190_11_wb_new
| Metric
| Measures poverty with a poverty gap set at 2.15 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgap320_11_wb
| Metric
| Measures poverty with a poverty gap set at 3.20 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Poverty gap at dollar 3.65 a day (2017 PPP) (%)]]
| Economic inequality
| Poverty measure
| Percent
| socstr_povgap320_11_wb_new
| Metric
| Measures poverty with a poverty gap set at 3.65 dollars a day which reflects the depth of poverty and its incidence (WB).
| 3rd Party Data
|-
| [[Gender Inequality Index]]
| Social inequality
| Inequality measure
| Index value
| socstr_gdi_undp
| Metric
| Measures inequality in gender based on the three dimensions reproductive health, empowerment, and labour market (UNDP).
| 3rd Party Data
|-
| [[Population, total]]
|
|
| Thousand
| socstr_pop_tot_unctad
| Metric
| Measures the total population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total male population]]
| Population
|
| Thousand
| socstr_pop_totma_pp
| Metric
| Measures the male population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total female population]]
| Population
|
| Thousands
| socstr_pop_totfe_pp
| Metric
| Measures the female population at 1st January (UNCTAD).
| 3rd Party Data
|-
| [[Total population, both sexes]]
| Population
|
| Thousands
| socstr_pop_tot_pp
| Metric
| Measures the total population (all residents regardless of legal status or citizenship), midyear estimates (WB).
| 3rd Party Data
|-
| [[Population per square kilometre]]
| Population
|
| People per sq. km of land area
| socstr_pop_dens_pp
| Metric
| Measures the average population per square km (EC).
| 3rd Party Data
|-
| [[Total population ages 0-14]]
| Population
|
| Percent of total population
| socstr_pop_0014to_pp
| Metric
| Measures the total population between the ages 0 to 14 as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total population ages 15-64]]
| Population
|
| Percent of total population
| socstr_pop_1564to_pp
| Metric
| Measures the total population between the ages 15 to 64 as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total population ages 65 and above]]
| Population
|
| Percent of total population
| socstr_pop_65upto_pp
| Metric
| Measures the population ages 65 and above as a percentage of the total population (WB).
| 3rd Party Data
|-
| [[Total fertility rate]]
| Population
|
| Children per woman
| socstr_pop_tfr_gp
| Metric
| Measures the total number of children born to women aged 15 to 49 (OECD).
| 3rd Party Data
|-
| [[Life expectancy at birth]]
| Population
|
| Years
| socstr_pop_lex_gp
| Metric
| Measures the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life (WB).
| 3rd Party Data
|-
| [[Global Gender Gap Index]]
| Social inequality
| Inequality measure
| Index value
| socstr_si_im_gggi
| Metric
| The index benchmarks national gender gaps on economic, education, health and political criteria (WEF).
| 3rd Party Data
|-
| [[Children in employment, total ]]
| Labour market participation
| Employment
| Percent of children ages 7-14
| socstr_lm_ep_cept
| Metric
| Measures the share of children involved in economic activity aged 7 – 14 and not attending school (WB).
| 3rd Party Data
|-
| [[Children in employment, female ]]
| Labour market participation
| Employment
| Percent of female children ages 7-14
| socstr_lm_ep_cepf
| Metric
| Measures the share of female children involved in economic activity aged 7 – 14 and not attending school (WB).
| 3rd Party Data
|-
| [[Children in employment, male ]]
| Labour market participation
| Employment
| Percent of male children ages 7-14
| socstr_lm_ep_cepm
| Metric
| Measures the share of male children involved in economic activity aged 7 – 14 and not attending school (WB).
|-
| [[The Property Right Protection Index]]
| Economic inequality
| Inequality measure
| Index value
| socstr_prp_prp
| Metric
| The Property Rights Index assesses the security of property rights distinct from other components of the rule of law.
| 3rd Party Data
|-
| [[Global Gender Gap Economic Participation and Opportunity Subindex]]
| Social inequality
| Inequality measure
| Index value
| socstr_si_im_gggi_pos
| Metric
| Measures the gendered economic participation and opportunity (WEF).
| 3rd Party Data
|-
| [[Global Gender Gap Political Empowerment Subindex]]
| Social inequality
| Inequality measure
| Index value
| socstr_si_im_gggi_pes
| Metric
| Measures the gendered political empowerment (WEF).
| 3rd Party Data
|-
| [[Global Gender Gap Health and Survival Subindex]]
| Social inequality
| Inequality measure
| Index value
| socstr_si_im_gggi_hss
| Metric
| Measures the gendered health and survival (WEF).
| 3rd Party Data
|}

GINI index (World Bank estimate)

2024-12-11T10:40:53Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_gini_ndx_wb
|category=Social structure
|label=GINI index (World Bank estimate)
|relatedindicators=<ul>
<li>[[Atkinson Coefficient (epsilon=0.5)]]</li>
<li>[[Atkinson Coefficient (epsilon=1)]]</li>
<li>[[Gini Coefficient (LIS)]]</li>
<li>[[Gini (at disposable income post taxes & transfers)]]</li>
<li>[[Income inequality: S80/S20 disposable income quintile share]]</li>
<li>[[Income inequality: P90/P10 disposable income decile ratio]]</li>
<li>[[Income inequality: P90/P50 disposable income decile ratio]]</li>
<li>[[Income inequality: P50/P10 disposable income decile ratio]]</li>
</ul>
|description=The Gini index measures how much the distribution of income or consumption expenditure among individuals or households in an economy deviates from perfect equality. The Lorenz curve shows the cumulative share of total income or consumption expenditure by a growing number of recipients, beginning with the poorest. The Gini index calculates the area between the Lorenz curve and a hypothetical line of perfect equality, expressed as a percentage of the total area under this line. As a result, a Gini index of 0 represents total equality, while an index of 100 denotes complete inequality.
|codingrules=The Gini Index ranges between "0" and "100". "100" refers to a complete unequal distribution of income or consumption expenditure and "0" to a complete equal distribution of income or consumption expenditure.
Teorell et al. (2024:1506) define the variable as "Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality."
 
The Gini coefficient measures relative rather than absolute wealth. It is not additive across groups, therefore a society's total Gini does not equal the sum of its subgroup Ginis. It is not additive across groups, which means that a society's total Gini does not equal the sum of its sub-group Ginis. Thus, country-level Gini coefficients cannot be aggregated into regional or global Gini coefficients, but a Gini coefficient can be calculated for the aggregate.Because the methodologies and types of welfare measures obtained in the underlying household surveys differ, data are not perfectly comparable between countries or even years within a country. Two types of noncomparability should be considered, particularly for income distributions.First, the surveys can differ in a variety of ways, such as whether they use income or consumption expenditure as a measure of living standards. Income distributions are often more uneven than consumption distributions. Furthermore, income criteria vary more frequently between polls. Consumption is usually a considerably superior welfare indicator, especially in poor countries. Second, households differ in size (number of members) and in the amount to which members share their income. Individuals' ages and consumption demands vary. Differences between countries in these respects may affect distributional comparisons. To improve comparability, the WB has prioritized consumption over income. Income distribution and Gini indexes for high-income economies are generated directly from the Luxembourg Income Study database, using an estimating procedure similar to that used for impoverished countries (see World Bank 2023).
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
|relatedpublications=<ul>
<li>World Bank. (2024). Poverty and Inequality Platform Methodology Handbook. Edition 2024-09. Available at https://datanalytics.worldbank.org/PIP-Methodology/</li>
<li>Kohli, Martin, Künemund, Harald, Schäfer, Andrea, Schupp, Jürgen and Vogel, Claudia (2006). Erbschaften und ihr Einfluss auf die Vermögensverteilung, in: Vierteljahrshefte zur Wirtschaftsforschung, 75 (1) p.58-76. https://doi.org/10.3790/vjh.75.1.58 </li>
</ul>
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan and Sundström, Aksel and Holmberg, Sören and Rothstein, Bo and Alvarado Pachon, Natalia and Dalli, Cem Mert and Lopez Valvarde, Rafael and Nilsson, Paula (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, Available at: https://www.gu.se/en/quality-government/qog-data/data-downloads/standard-dataset</li>
<li>World Bank. (2023). World development indicators. The World Bank Washington DC. https://databank.worldbank.org/source/world-development-indicators</li>
</ul>
}}

Poverty gap entire population

2024-12-11T10:32:42Z

ASchaefer:

{{IndicatorForm
|datatype=Numeric
|scale=Metric
|scale=Metric
|scale=Metric
|valuelabels=Not applicable
|techname=socstr_povgaptpop_oecd
|category=Social structure
|label=Poverty gap entire population
|relatedindicators=<ul>
<li>[[The Property Right Protection Index]]</li>
<li>[[Human Development Index]]</li>
<li>[[Relative poverty rates: Entire population]]</li>
<li>[[Relative poverty rates: Children (age 0-17)]]</li>
<li>[[Relative poverty rates: Working-age population (age 18-65)]]</li>
<li>[[Relative poverty rates: Retirement-age population (over 65)]]</li>
<li>[[Poverty gap at dollar 2.15 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.65 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 1.90 a day (2011 PPP) (%)]]</li>
<li>[[Poverty gap at dollar 3.20 a day (2011 PPP) (%)]]</li>
</ul>
|description=The "Poverty gap for the entire population" is a measure of relative poverty that indicates its depth, specifically showing how much the income of the poor falls below the poverty line (referred to as the "poverty gap"). The ratio reflects how much the average income of the poor falls below the poverty line, which is defined as half of the median household income of the entire population.
|codingrules=The poverty gap is the ratio that reflects how much the average income of the poor falls below the poverty line, which is defined as half of the median household income of the entire population. The poverty gap complements the poverty rate by offering a clearer picture of the severity of poverty in a country. This indicator is measured for the total population, as well as for specific age groups, including those aged 18-65 years and individuals over 65. Poverty lines are determined based on the overall population and are subsequently used to calculate poverty rates for specific subgroups (such as children and the elderly). While the poverty lines stay consistent within a given dataset, the subgroups can vary when calculating poverty gaps. The poverty line is defined as half of the median household income of the entire population. The affected population is categorized into broad age groups: working-age poverty (ages 18-65) and elderly poverty (ages 66 and older). 
Teorell et al. (2024:357) define the variable as "Poverty gap entire population, average score across all age groups."
|citation=<ul>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
|relatedpublications=Förster, Michael F. and Marco Mira D'Ercole (2005). Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s. Income Distribution and Poverty in OECD Countries in the Second Half of the 1990s, OECD Social, Employment and Migration Working Papers, No. 22, OECD Publishing, Paris, https://doi.org/10.1787/882106484586.
|projectmanagers=Responsible for data editing, description (WESIS) and entry: Andrea Schäfer (2021-2025, Version 0.002), Jean-Yves Gerlitz (2018-2020; Version 0.001); Principal Investigator: Irene Dingeldey, Ulrich Mückenberger; Student assistants: Karolin Meyer (2018-2020)
|datarelease=<ul>
<li>Version 0.001: Initial release with data from The Quality of Government Standard Dataset, version Jan19</li>
<li>Version 0.002: Updated with data from The Quality of Government Standard Dataset, version January 2024</li>
</ul>
|revisions=No revisions yet
|sources=<ul>
<li>Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon and Richard Svensson. 2019. The Quality of Government Standard Dataset, version Jan19. University of Gothenburg: The Quality of Government Institute. http://www.qog.pol.gu.se doi:10.18157/qogstdjan19 </li>
<li> Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde & Paula Nilsson (2024). The Quality of Government Standard Dataset, version Jan24. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government, doi:10.18157/qogstdjan24</li>
<li> Organisation for Economic Co-operation and Development. (2023). Country statistical profiles: Key tables from OECD. https://doi.org/10.1787/20752288 </li>
</ul>
}}