WeSISpedia - User contributions [en]

Fam pat leave amount ceiling

2025-12-05T23:15:57Z

Mgurin:

{{IndicatorForm
|datatype=Numeric
|scale=Multinomial
|scale=Multinomial
|scale=Multinomial
|valuelabels=0=no, 1=yes
|techname=fam_pat_leave_amount_ceiling
|category=Family and gender policies
|label=Paternity leave benefit (maximum) ceiling
|relatedindicators=[[fam_pat_leave_amount]]
|description=Paternity leave benefit (maximum) ceiling
|codingrules=This variable provides information whether paid paternity benefits are capped at a maximum level, as is often the case in insurance-financed systems. This information is important for analyzing the incentive structure of paternity leave policies and understanding how benefit ceilings may affect fathers’ take-up of paternity leave.

'''Missing values''' are treated as following:

-999 = No information available: This code is used when data are unavailable or could not be found.

-888 = Policy does not exist: This code indicates that data collection was intentionally not pursued because it is known that no relevant policy exists for the country-year in question, or that the policy had been formally discontinued.

-777 = Not applicable: This code is applied when a variable is conceptually irrelevant to a given policy/context, or it was not collected because it was not relevant for a specific country or paternity leave system. In the dataset, for example, unpaid paternity leave systems are coded as -777 (i.e., a paternity leave system exists but the ceiling variable is not applicable) and when the payment is a flat rate (for instance, Australia or Ireland).

'''Definition''' of paternity leave:

In this dataset, paternity leave is defined as a public paid or unpaid parenting leave program available to fathers (and to mothers in same-sex couples) during the period before and after childbirth (or adoption of a child), serving as social protection to guarantee income and/or time-off during this period. It encompasses not only statutory entitlements formally labelled as ‘paternity leave’, but also other birth-related leave schemes that may appear in legislation under headings such as ‘special/exceptional leave’, ‘family leave’, ‘partner leave’ or equivalent designations. While the dataset primarily focuses on entitlements for private-sector employees, it also includes Thailand and Malaysia where analogous paternity-type leave existed (in the data-collection period) only for public-sector employees.

The dataset does not cover father-specific entitlements within parental leave schemes or entitlements under maternity leave provisions that may be accessible to fathers under specific conditions (such as the mother’s consent, incapacity, or death). Please refer to the Global Dataset of Parental Leave (GDParL) and the Historical Dataset on Maternity Leave (HDML) for a more comprehensive overview of these paid parenting leave systems.
|citation=
|relatedpublications=
|projectmanagers=Martin Gurín, Keonhi Son, Aysegül Kayaoglu, Tobias Böger, Anh Tran, and Sonja Drobnič (A06)
|datarelease=
|revisions=
|sources=* Council of Europe. Various years. Mutual Information System on Social Protection of the Council of Europe (MISSCEO). Strasbourg: Office for Official Publications of the European Communities.

* Feldman, K., & Gran, B. K. (2016). Is what's best for dads best for families: Paternity leave policies and equity across forty-four nations. J. Soc. & Soc. Welfare, 43, 95.

* Fluchtmann, J. (2023). Supporting equal parenting: Paid parental leave, in OECD (2023), Joining Forces for Gender Equality: What is Holding us Back?, OECD Publishing.

* Geneva Infant Feeding Association. Legislation on maternity protection in countries belonging to Africa. https://www.gifa.org/wp-content/uploads/2017/01/xxAfrica-countries-MP-legislationxx.pdf

* Güezmes García, A., & Vaeza, M. N. (2023). Advances in care policies in Latin America and the Caribbean: towards a care society with gender equality. Santiago: United Nations..

* Hyland, M., & Shen, L. (2022). The evolution of maternity and paternity leave policies over five decades. World Bank Working Papers, 10215, 1-30.

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ ilo/P/09607

* International Labour Organization. Various years. Maternity (and paternity) at work. Geneva: ILO.

* International Labour Organization. (2023). Care at work in Asia and the Pacific: Investing in care leave and services for a more gender equal world of work. ILO Regional Brief.

* International Network on Leave Policies & Research. Annual reviews. https://www.leavenetwork.org/annual-review-reports/archive-reviews/

* International Social Security Association. (2022). Social Security Around the World: Country Profiles. Geneva: ISSA. https:// www.issa.int/databases/country-profiles

* Jurviste, U., Prpic, M., & Sabbati, G. (2016). Maternity and Paternity Leave in the EU. European Parliament.

* Lupica, C. (2018). Time to care: Analysis of maternity, paternity and parental leaves in Latin America and the Caribbean. Revista del Ministerio de Empleo y Seguridad Social: Revista del Ministerio de Trabajo, Migraciones y Seguridad Social, (136), 149-168.

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missocdatabase/comparative-tables/

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo. org/dyn/natlex/natlex4.home

* O'Brien, M., & Wall, K. (2017). Comparative perspectives on work-life balance and gender equality: Fathers on leave alone. Springer Nature..

* OECD. (2016). Parental Leave: Where are the fathers?, Policy brief.

* OECD. (2017). OECD Family database, PF 2.5 Annex: Detail of change in parental leave by country, Paris: OECD Publishing. https://www.oecd.org/els/family/PF2_5_Trends_in_leave_entitlements_ around_childbirth_annex.pdf

* ParlAmericas, National frameworks. Available at: https://www.parlamericas.org/uploads/documents/National_frameworks.pdf

* Schulze, E., & Gergoric, M. (2015). Maternity, paternity and parental leave: Data related to duration and compensation rates in the European Union, European Parliament, Brussels.

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Thévenon, O., Adema, W. & Clarke, C. (2016). Backgrounder on Fathers’ Leave and its Use, 2016, OECD.

* UN Women. (2023). Knowledge, attitudes and practices of institutional actors on paternity leave and the role of men in childcare in the Middle East and North Africa Region.

* UNICEF. (2011). Childcare and Parental Leave. Number 12.

* UNFPA EECARO. (2023). The state of gender-responsive family policies in the Eastern Europe and Central Asia Region.

* Van Belle, J. (2016). Paternity and Parental Leave Policies across the European Union, RAND Corporation, Santa Monica and Cambridge.

* Woods, D. R., & Frankenberger, R. (2018). Family policy patterns in autocratic countries. In Handbook of Family Policy (pp. 289-306). Edward Elgar Publishing.
}}

Fam pat leave finance

2025-12-02T17:50:39Z

Mgurin:

{{IndicatorForm
|datatype=String
|scale=String
|scale=String
|scale=String
|valuelabels=insurance, general taxation, employer-liability
|techname=fam_pat_leave_finance
|category=Family and gender policies
|label=Financing of paternity leave
|relatedindicators=
|description=Financing of paternity leave
|codingrules=This variable indicates the system to which the paid paternity leave belongs, such as an insurance-based system, general taxation, or employer liability. Some countries finance paid paternity leave through two different systems and in those cases these systems are provided together using “+” as separator, i.e., insurance + employer liability.

'''Missing values''' are treated as following:

-999 = No information available: This code is used when data are unavailable or could not be found.

-888 = Policy does not exist: This code indicates that data collection was intentionally not pursued because it is known that no relevant policy exists for the country-year in question, or that the policy had been formally discontinued.

-777 = Not applicable: This code is applied when a variable is conceptually irrelevant to a given policy/context, or it was not collected because it was not relevant for a specific country or paternity leave system. In the dataset, for example, unpaid paternity leave systems are coded as -777 (i.e., a paternity leave system exists but financing is not applicable).

'''Definition''' of paternity leave:

In this dataset, paternity leave is defined as a public paid or unpaid parenting leave program available to fathers (and to mothers in same-sex couples) during the period before and after childbirth (or adoption of a child), serving as social protection to guarantee income and/or time-off during this period. It encompasses not only statutory entitlements formally labelled as ‘paternity leave’, but also other birth-related leave schemes that may appear in legislation under headings such as ‘special/exceptional leave’, ‘family leave’, ‘partner leave’ or equivalent designations. While the dataset primarily focuses on entitlements for private-sector employees, it also includes Thailand and Malaysia where analogous paternity-type leave existed (in the data-collection period) only for public-sector employees.

The dataset does not cover father-specific entitlements within parental leave schemes or entitlements under maternity leave provisions that may be accessible to fathers under specific conditions (such as the mother’s consent, incapacity, or death). Please refer to the Global Dataset of Parental Leave (GDParL) and the Historical Dataset on Maternity Leave (HDML) for a more comprehensive overview of these paid parenting leave systems.
|citation=
|relatedpublications=
|projectmanagers=Martin Gurín, Keonhi Son, Aysegül Kayaoglu, Tobias Böger, Anh Tran, and Sonja Drobnič (A06)
|datarelease=
|revisions=
|sources=* Council of Europe. Various years. Mutual Information System on Social Protection of the Council of Europe (MISSCEO). Strasbourg: Office for Official Publications of the European Communities.

* Feldman, K., & Gran, B. K. (2016). Is what's best for dads best for families: Paternity leave policies and equity across forty-four nations. J. Soc. & Soc. Welfare, 43, 95.

* Fluchtmann, J. (2023). Supporting equal parenting: Paid parental leave, in OECD (2023), Joining Forces for Gender Equality: What is Holding us Back?, OECD Publishing.

* Geneva Infant Feeding Association. Legislation on maternity protection in countries belonging to Africa. https://www.gifa.org/wp-content/uploads/2017/01/xxAfrica-countries-MP-legislationxx.pdf

* Güezmes García, A., & Vaeza, M. N. (2023). Advances in care policies in Latin America and the Caribbean: towards a care society with gender equality. Santiago: United Nations..

* Hyland, M., & Shen, L. (2022). The evolution of maternity and paternity leave policies over five decades. World Bank Working Papers, 10215, 1-30.

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ ilo/P/09607

* International Labour Organization. Various years. Maternity (and paternity) at work. Geneva: ILO.

* International Labour Organization. (2023). Care at work in Asia and the Pacific: Investing in care leave and services for a more gender equal world of work. ILO Regional Brief.

* International Network on Leave Policies & Research. Annual reviews. https://www.leavenetwork.org/annual-review-reports/archive-reviews/

* International Social Security Association. (2022). Social Security Around the World: Country Profiles. Geneva: ISSA. https:// www.issa.int/databases/country-profiles

* Jurviste, U., Prpic, M., & Sabbati, G. (2016). Maternity and Paternity Leave in the EU. European Parliament.

* Lupica, C. (2018). Time to care: Analysis of maternity, paternity and parental leaves in Latin America and the Caribbean. Revista del Ministerio de Empleo y Seguridad Social: Revista del Ministerio de Trabajo, Migraciones y Seguridad Social, (136), 149-168.

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missocdatabase/comparative-tables/

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo. org/dyn/natlex/natlex4.home

* O'Brien, M., & Wall, K. (2017). Comparative perspectives on work-life balance and gender equality: Fathers on leave alone. Springer Nature..

* OECD. (2016). Parental Leave: Where are the fathers?, Policy brief.

* OECD. (2017). OECD Family database, PF 2.5 Annex: Detail of change in parental leave by country, Paris: OECD Publishing. https://www.oecd.org/els/family/PF2_5_Trends_in_leave_entitlements_ around_childbirth_annex.pdf

* ParlAmericas, National frameworks. Available at: https://www.parlamericas.org/uploads/documents/National_frameworks.pdf

* Schulze, E., & Gergoric, M. (2015). Maternity, paternity and parental leave: Data related to duration and compensation rates in the European Union, European Parliament, Brussels.

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Thévenon, O., Adema, W. & Clarke, C. (2016). Backgrounder on Fathers’ Leave and its Use, 2016, OECD.

* UN Women. (2023). Knowledge, attitudes and practices of institutional actors on paternity leave and the role of men in childcare in the Middle East and North Africa Region.

* UNICEF. (2011). Childcare and Parental Leave. Number 12.

* UNFPA EECARO. (2023). The state of gender-responsive family policies in the Eastern Europe and Central Asia Region.

* Van Belle, J. (2016). Paternity and Parental Leave Policies across the European Union, RAND Corporation, Santa Monica and Cambridge.

* Woods, D. R., & Frankenberger, R. (2018). Family policy patterns in autocratic countries. In Handbook of Family Policy (pp. 289-306). Edward Elgar Publishing.
}}

Fam pat leave amount ceiling

2025-12-02T17:24:06Z

Mgurin:

{{IndicatorForm
|datatype=Numeric
|scale=Multinomial
|scale=Multinomial
|scale=Multinomial
|valuelabels=0=no, 1=yes
|techname=fam_pat_leave_amount_ceiling
|category=Family and gender policies
|label=Paternity leave benefit (maximum) ceiling
|relatedindicators=[[fam_pat_leave_amount]]
|description=Paternity leave benefit (maximum) ceiling
|codingrules=This variable provides information whether paid paternity benefits are capped at a maximum level, as is often the case in insurance-financed systems. This information is important for analyzing the incentive structure of paternity leave policies and understanding how benefit ceilings may affect fathers’ take-up of paternity leave.

'''Missing values''' are treated as following:

-999 = No information available: This code is used when data are unavailable or could not be found.

-888 = Policy does not exist: This code indicates that data collection was intentionally not pursued because it is known that no relevant policy exists for the country-year in question, or that the policy had been formally discontinued.

-777 = Not applicable: This code is applied when a variable is conceptually irrelevant to a given policy/context, or it was not collected because it was not relevant for a specific country or paternity leave system. In the dataset, for example, unpaid paternity leave systems are coded as -777 (i.e., a paternity leave system exists but the ceiling variable is not applicable).

'''Definition''' of paternity leave:

In this dataset, paternity leave is defined as a public paid or unpaid parenting leave program available to fathers (and to mothers in same-sex couples) during the period before and after childbirth (or adoption of a child), serving as social protection to guarantee income and/or time-off during this period. It encompasses not only statutory entitlements formally labelled as ‘paternity leave’, but also other birth-related leave schemes that may appear in legislation under headings such as ‘special/exceptional leave’, ‘family leave’, ‘partner leave’ or equivalent designations. While the dataset primarily focuses on entitlements for private-sector employees, it also includes Thailand and Malaysia where analogous paternity-type leave existed (in the data-collection period) only for public-sector employees.

The dataset does not cover father-specific entitlements within parental leave schemes or entitlements under maternity leave provisions that may be accessible to fathers under specific conditions (such as the mother’s consent, incapacity, or death). Please refer to the Global Dataset of Parental Leave (GDParL) and the Historical Dataset on Maternity Leave (HDML) for a more comprehensive overview of these paid parenting leave systems.
|citation=
|relatedpublications=
|projectmanagers=Martin Gurín, Keonhi Son, Aysegül Kayaoglu, Tobias Böger, Anh Tran, and Sonja Drobnič (A06)
|datarelease=
|revisions=
|sources=* Council of Europe. Various years. Mutual Information System on Social Protection of the Council of Europe (MISSCEO). Strasbourg: Office for Official Publications of the European Communities.

* Feldman, K., & Gran, B. K. (2016). Is what's best for dads best for families: Paternity leave policies and equity across forty-four nations. J. Soc. & Soc. Welfare, 43, 95.

* Fluchtmann, J. (2023). Supporting equal parenting: Paid parental leave, in OECD (2023), Joining Forces for Gender Equality: What is Holding us Back?, OECD Publishing.

* Geneva Infant Feeding Association. Legislation on maternity protection in countries belonging to Africa. https://www.gifa.org/wp-content/uploads/2017/01/xxAfrica-countries-MP-legislationxx.pdf

* Güezmes García, A., & Vaeza, M. N. (2023). Advances in care policies in Latin America and the Caribbean: towards a care society with gender equality. Santiago: United Nations..

* Hyland, M., & Shen, L. (2022). The evolution of maternity and paternity leave policies over five decades. World Bank Working Papers, 10215, 1-30.

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ ilo/P/09607

* International Labour Organization. Various years. Maternity (and paternity) at work. Geneva: ILO.

* International Labour Organization. (2023). Care at work in Asia and the Pacific: Investing in care leave and services for a more gender equal world of work. ILO Regional Brief.

* International Network on Leave Policies & Research. Annual reviews. https://www.leavenetwork.org/annual-review-reports/archive-reviews/

* International Social Security Association. (2022). Social Security Around the World: Country Profiles. Geneva: ISSA. https:// www.issa.int/databases/country-profiles

* Jurviste, U., Prpic, M., & Sabbati, G. (2016). Maternity and Paternity Leave in the EU. European Parliament.

* Lupica, C. (2018). Time to care: Analysis of maternity, paternity and parental leaves in Latin America and the Caribbean. Revista del Ministerio de Empleo y Seguridad Social: Revista del Ministerio de Trabajo, Migraciones y Seguridad Social, (136), 149-168.

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missocdatabase/comparative-tables/

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo. org/dyn/natlex/natlex4.home

* O'Brien, M., & Wall, K. (2017). Comparative perspectives on work-life balance and gender equality: Fathers on leave alone. Springer Nature..

* OECD. (2016). Parental Leave: Where are the fathers?, Policy brief.

* OECD. (2017). OECD Family database, PF 2.5 Annex: Detail of change in parental leave by country, Paris: OECD Publishing. https://www.oecd.org/els/family/PF2_5_Trends_in_leave_entitlements_ around_childbirth_annex.pdf

* ParlAmericas, National frameworks. Available at: https://www.parlamericas.org/uploads/documents/National_frameworks.pdf

* Schulze, E., & Gergoric, M. (2015). Maternity, paternity and parental leave: Data related to duration and compensation rates in the European Union, European Parliament, Brussels.

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Thévenon, O., Adema, W. & Clarke, C. (2016). Backgrounder on Fathers’ Leave and its Use, 2016, OECD.

* UN Women. (2023). Knowledge, attitudes and practices of institutional actors on paternity leave and the role of men in childcare in the Middle East and North Africa Region.

* UNICEF. (2011). Childcare and Parental Leave. Number 12.

* UNFPA EECARO. (2023). The state of gender-responsive family policies in the Eastern Europe and Central Asia Region.

* Van Belle, J. (2016). Paternity and Parental Leave Policies across the European Union, RAND Corporation, Santa Monica and Cambridge.

* Woods, D. R., & Frankenberger, R. (2018). Family policy patterns in autocratic countries. In Handbook of Family Policy (pp. 289-306). Edward Elgar Publishing.
}}

Family and gender policies

2025-11-29T16:10:34Z

Mgurin:

{|class="wikitable sortable" border="1"
! Indicator name*
! Subcategory I
! Subcategory II
! Subcategory III
! Technical name*
! Scale*
! Short description
! Data origin*
|-
| [[Introduction year of child benefit system]]
| Child benefits
| Child benefit system
| Availability
| fam_cben_avail_intro
| Date
| Introduction year of first child benefits (irrespective of its type).
| Original CRC Data
|-
| [[Existence of both employment-based and citizen- or residency-based child benefits]]
| Child benefits
| Child benefit system
| Availability
| fam_cben_avail_both
| Multinomial
| Simultaneous existence of both employment-based and citizen- or residency-based child benefits within the system.
| Original CRC Data
|-
| [[Means-testing of the child benefit system]]
| Child benefits
| Child benefit system
| Means-testing
| fam_cben_mt
| Multinomial
| Is the child benefit system means-tested?
| Original CRC Data
|-
| [[Behavioral conditions in the child benefit system]]
| Child benefits
| Child benefit system
| Behavioral conditions
| fam_cben_cond
| Multinomial
| Does the child benefit system include behavioral conditions?
| Original CRC Data
|-
| [[Legal coverage of the child benefit system]]
| Child benefits
| Child benefit system
| Coverage
| fam_cben_cov_groups
| Metric
| Legal coverage of the child benefit system, expressed as a percentage of sectoral groups covered.
| Original CRC Data
|-
| [[Maximum monthly child benefit in national currency]]
| Child benefits
| Child benefit system
| Amount
| fam_cben_amount_max_child_nominal
| Metric
| Maximum monthly child benefit amount per child in nominal values, expressed in national currency.
| Original CRC Data
|-
| [[Maximum monthly child benefit in international dollars]]
| Child benefits
| Child benefit system
| Amount
| fam_cben_amount_max_child_real
| Metric
| Maximum monthly child benefit amount per child in international dollars (PPP adjusted).
| Original CRC Data
|-
| [[Institutional type of the child benefit system]]
| Child benefits
| Child benefit system
| Type
| fam_cben_type
| String
| Institutional type of the child benefit system.
| Original CRC Data
|-
| [[Introduction year of employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Availability
| fam_cben_emp_avail_intro
| Date
| Introduction year of the employment-based child benefit.
| Original CRC Data
|-
| [[Name of the program or law of employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Availability
| fam_cben_emp_avail_name
| String
| Name of the program or the law introducing the employment-based child benefit.
| Original CRC Data
|-
| [[Upper age limit for employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Eligibility
| fam_cben_emp_elig_maxage
| Metric
| Upper age limit for child(ren) to be eligible for the employment-based child benefit.
| Original CRC Data
|-
| [[Maximum number of children in a household for employment-based benefit]]
| Child benefits
| Employment-based child benefits
| Eligibility
| fam_cben_emp_elig_maxchild
| Metric
| Maximum number of children in a household for whom the employment-based child benefit can be received.
| Original CRC Data
|-
| [[Lower age limit for employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Eligibility
| fam_cben_emp_elig_minage
| Metric
| Lower age limit for child(ren) in a household to be eligible for the employment-based child benefit.
| Original CRC Data
|-
| [[Minimum number of children in a household for employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Eligibility
| fam_cben_emp_elig_minchild
| Metric
| Minimum number of children in a household for whom the employment-based child benefit can be received.
| Original CRC Data
|-
| [[Minimum duration of contributions for the employment-based child benefit (in months)]]
| Child benefits
| Employment-based child benefits
| Eligibility
| fam_cben_emp_elig_mincont
| Metric
| Minimum duration of contributions required to be eligible for the employment-based child benefit (in months).
| Original CRC Data
|-
| [[Means-testing of employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Means-testing
| fam_cben_emp_mt
| Multinomial
| Is the employment-based child benefit means-tested?
| Original CRC Data
|-
| [[De jure coverage of workers in the agricultural sector by employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Coverage
| fam_cben_emp_cov_agr
| Multinomial
| De jure coverage of parents/caregivers employed in the agriculture sector by the employment-based child benefit.
| Original CRC Data
|-
| [[De jure coverage of workers in the commercial sector by employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Coverage
| fam_cben_emp_cov_com
| Multinomial
| De jure coverage of parents/caregivers employed in the commercial sector by the employment-based child benefit.
| Original CRC Data
|-
| [[De jure coverage of workers in the industrial sector by employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Coverage
| fam_cben_emp_cov_ind
| Multinomial
| De jure coverage of parents/caregivers employed in the industrial sector by the employment-based child benefit.
| Original CRC Data
|-
| [[De jure coverage of self-employed workers by employment-based child benefit]]
| Child benefits
| Employment-based child benefits
| Coverage
| fam_cben_emp_cov_self
| Multinomial
| De jure coverage of parents/caregivers who are self-employed by the employment-based child benefit.
| Original CRC Data
|-
| [[Maximum monthly amount of employment-based child benefit in national currency for the FIRST child, aged 12]]
| Child benefits
| Employment-based child benefits
| Amount
| fam_cben_emp_amount_max_child1_age12_nominal
| Metric
| This variable indicates the maximum monthly amount (nominal value in national currency) received from the employment-based child benefit for the FIRST child, aged 12, in a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011).
| CRC Compiled Data
|-
| [[Maximum monthly amount of employment-based child benefit in national currency for the SECOND child, aged 10]]
| Child benefits
| Employment-based child benefits
| Amount
| fam_cben_emp_amount_max_child2_age10_nominal
| Metric
| This variable indicates the maximum monthly amount (nominal value in national currency) received from the employment-based child benefit for the SECOND child, aged 10, in a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011).
| CRC Compiled Data
|-
| [[Maximum monthly amount of employment-based child benefit in national currency for the THIRD child, aged 8]]
| Child benefits
| Employment-based child benefits
| Amount
| fam_cben_emp_amount_max_child3_age8_nominal
| Metric
| This variable indicates the maximum monthly amount (nominal value in national currency) received from the employment-based child benefit for the THIRD child, aged 8, in a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011).
| CRC Compiled Data
|-
| [[Introduction year of citizen- or residency-based child benefit]]
| Child benefits
| Citizen- or residency-based child benefits
| Availability
| fam_cben_citres_avail_intro
| Date
| Introduction year of the child benefit for citizens/residents.
| Original CRC Data
|-
| [[Name of the program or law of child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Availability
| fam_cben_citres_avail_name
| String
| Name of the program or the law introducing the child benefit.
| Original CRC Data
|-
| [[Availability of child benefit for residents, regardless of citizenship status]]
| Child benefits
| Citizen- or residency-based child benefits
| Availability
| fam_cben_citres_avail_resid
| Multinomial
| Is the benefit available for all residents of the country, regardless of citizenship status?
| Original CRC Data
|-
| [[Upper age limit for citizenship- or residency-based child benefit]]
| Child benefits
| Citizen- or residency-based child benefits
| Eligibility
| fam_cben_citres_elig_maxage
| Metric
| Upper age limit for child(ren) in a household to be eligible for citizenship- or residency-based child benefits.
| Original CRC Data
|-
| [[Maximum number of children in a household for citizenship- or residency-based child benefit]]
| Child benefits
| Citizen- or residency-based child benefits
| Eligibility
| fam_cben_citres_elig_maxchild
| Metric
| Maximum number of eligible children in a household that can receive the child benefit for citizens/residents.
| Original CRC Data
|-
| [[Lower age limit for citizenship- or residency-based child benefit]]
| Child benefits
| Citizen- or residency-based child benefits
| Eligibility
| fam_cben_citres_elig_minage
| Metric
| Lower age limit for child(ren) in a household to be eligible for citizenship- or residency-based child benefits.
| Original CRC Data
|-
| [[Minimum number of children in a household for citizenship- or residency-based child benefit]]
| Child benefits
| Citizen- or residency-based child benefits
| Eligibility
| fam_cben_citres_elig_minchild
| Metric
| Minimum number of children in the household eligible for the benefit for citizens/residents.
| Original CRC Data
|-
| [[Maximum monthly amount of citizenship- or residency-based child benefit in national currency for the FIRST child, aged 12]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_max_child1_age12_nominal
| Metric
| This variable indicates the maximum monthly amount (nominal value in national currency) received from the citizenship- or residency-based child benefit for the FIRST child, aged 12, in a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011).
| CRC Compiled Data
|-
| [[Maximum monthly amount of citizenship- or residency-based child benefit in national currency for the SECOND child, aged 10]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_max_child2_age10_nominal
| Metric
| This variable indicates the maximum monthly amount (nominal value in national currency) received from the citizenship- or residency-based child benefit for the SECOND child, aged 10, in a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011).
| CRC Compiled Data
|-
| [[Maximum monthly amount of citizenship- or residency-based child benefit in national currency for the THIRD child, aged 8]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_max_child3_age8_nominal
| Metric
| This variable indicates the maximum monthly amount (nominal value in national currency) received from the citizenship- or residency-based child benefit for the THIRD child, aged 8, in a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011).
| CRC Compiled Data
|-
| [[Means-testing of child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Means-testing
| fam_cben_citres_mt
| Multinomial
| Is the citizenship- or residency-based child benefit means-tested?
| Original CRC Data
|-
| [[Means-testing of child benefit for citizens/residents based on geographic location]]
| Child benefits
| Citizen- or residency-based child benefits
| Means-testing
| fam_cben_citres_mt_geo
| Multinomial
| If means-tested, is vulnerability determined by geographic location?
| Original CRC Data
|-
| [[Means-testing of child benefit for citizens/residents based on income]]
| Child benefits
| Citizen- or residency-based child benefits
| Means-testing
| fam_cben_citres_mt_income
| Multinomial
| If means-tested, is vulnerability determined by income level?
| Original CRC Data
|-
| [[Income threshold for means-testing of child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Means-testing
| fam_cben_citres_mt_income_threshold
| Metric
| If the means test is based on income, what is the (nominal) income threshold to be eligible?
| Original CRC Data
|-
| [[Means-testing of child benefit for citizens/residents based on proxy means test]]
| Child benefits
| Citizen- or residency-based child benefits
| Means-testing
| fam_cben_citres_mt_pmt
| Multinomial
| If means-tested, is vulnerability determined by proxy means testing?
| Original CRC Data
|-
| [[Means-testing of child benefit for citizens/residents based on community-based targeting]]
| Child benefits
| Citizen- or residency-based child benefits
| Means-testing
| fam_cben_citres_mt_cbt
| Multinomial
| If means-tested, is vulnerability determined by community-based targeting?
| Original CRC Data
|-
| [[Means-testing of child benefit for citizens/residents based on vulnerable employment status outside of the formal workforce]]
| Child benefits
| Citizen- or residency-based child benefits
| Means-testing
| fam_cben_citres_mt_emp
| Multinomial
| If means-tested, is vulnerability determined based on being outside of “formal” employment (e.g. unemployment, self-employment or informal)?
| Original CRC Data
|-
| [[Behavioral conditions in the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Behavioral conditions
| fam_cben_citres_cond
| Multinomial
| Is receipt of the citizenship- or residency-based child benefit based on any behavioral conditions?
| Original CRC Data
|-
| [[Behavioral conditions based on education in the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Behavioral conditions
| fam_cben_citres_cond_educ
| Multinomial
| Is receipt of the citizenship- or residency-based child benefit conditional on school enrolment and/or attendance?
| Original CRC Data
|-
| [[Behavioral conditions based on health in the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Behavioral conditions
| fam_cben_citres_cond_health
| Multinomial
| Is receipt of the citizenship- or residency-based child benefit conditional on attendance at health appointments?
| Original CRC Data
|-
| [[Behavioral conditions based on nutrition in the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Behavioral conditions
| fam_cben_citres_cond_nutri
| Multinomial
| Is receipt of the citizenship- or residency-based child benefit conditional on meeting nutritional requirements?
| Original CRC Data
|-
| [[Behavioral conditions based on vaccination in the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Behavioral conditions
| fam_cben_citres_cond_vaccin
| Multinomial
| Is receipt of the citizenship- or residency-based child benefit conditional on immunization?
| Original CRC Data
|-
| [[Behavioral conditions based on participatory activities in the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Behavioral conditions
| fam_cben_citres_cond_particip
| Multinomial
| Is receipt of the citizenship- or residency-based child benefit conditional on attendance at trainings, meetings, activities or another form of social participation?
| Original CRC Data
|-
| [[De facto coverage of households by the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Coverage
| fam_cben_citres_cov_eff_hh
| Metric
| If the citizenship- or residency-based child benefit is provided at the household-level, this variable indicates the total number of households who have received a benefit.
| CRC Compiled Data
|-
| [[De facto coverage of children by the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Coverage
| fam_cben_citres_cov_eff_child
| Metric
| If the citizenship- or residency-based child benefit is provided at the child-level, this variable indicates the total number of children who have received a benefit.
| CRC Compiled Data
|-
| [[De facto coverage of the child population (%) by the child benefit for citizens/residents]]
| Child benefits
| Citizen- or residency-based child benefits
| Coverage
| fam_cben_citres_cov_eff_sharechild
| Metric
| This variable estimates the share of the child population (aged below 18) who received a benefit. In case the unit of recipients is households, coverage of children is calculated to estimate the share of the child population covered.
| CRC Compiled Data
|-
| [[Minimum monthly amount of citizenship-or residency-based child benefit, per household, in national currency]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_min_hh_nominal
| Metric
| Minimum monthly benefit amount per household in nominal values, expressed in national currency.
| CRC Compiled Data
|-
| [[Minimum monthly amount of citizenship-or residency-based child benefit, per child, in national currency]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_min_child_nominal
| Metric
| Minimum monthly benefit amount per child in nominal values, expressed in national currency.
| CRC Compiled Data
|-
| [[Maximum monthly amount of citizenship-or residency-based child benefit, per household, in national currency]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_max_hh_nominal
| Metric
| Maximum monthly benefit amount per household in nominal values, expressed in national currency.
| CRC Compiled Data
|-
| [[Maximum monthly amount of citizenship-or residency-based child benefit, per child, in national currency]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_max_child_nominal
| Metric
| Maximum monthly benefit amount per child in nominal values, expressed in national currency.
| CRC Compiled Data
|-
| [[Minimum monthly amount of citizenship-or residency-based child benefit, per household, in international dollars]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_min_hh_real
| Metric
| Minimum monthly benefit amount per household in real values, calculated based on the implied PPP conversion rate (national currency per current international dollar).
| CRC Compiled Data
|-
| [[Minimum monthly amount of citizenship-or residency-based child benefit, per child, in international dollars]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_min_child_real
| Metric
| Minimum monthly benefit amount per child in real values, calculated based on the implied PPP conversion rate (national currency per current international dollar).
| CRC Compiled Data
|-
| [[Maximum monthly amount of citizenship-or residency-based child benefit, per household, in international dollars]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_max_hh_real
| Metric
| Maximum monthly benefit amount per household in real values, calculated based on the implied PPP conversion rate (national currency per current international dollar).
| CRC Compiled Data
|-
| [[Maximum monthly amount of citizenship-or residency-based child benefit, per child, in international dollars]]
| Child benefits
| Citizen- or residency-based child benefits
| Amount
| fam_cben_citres_amount_max_child_real
| Metric
| Maximum monthly benefit amount per child in real values, calculated based on the implied PPP conversion rate (national currency per current international dollar).
| CRC Compiled Data
|-
| [[ fam_mat_leave_amount_own | Amount of maternity benefit (in original unit) (own coding) ]]
| Leave
| Maternity Leave
| Amount
| fam_mat_leave_amount_own
| String
| Amount - Maternity leave (own coding)
| Original CRC Data
|-
| [[ fam_mat_leave_amount_repl_ILO | Amount of maternity benefit (in replacement rate) (ILO) ]]
| Leave
| Maternity Leave
| Amount
| fam_mat_leave_amount_repl_ILO
| String
| Cash benefits as percentage of the earnings (%) - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_amount_repl_ILO2 | Amount of maternity benefit (in replacement rate) (ILO2) ]]
| Leave
| Maternity Leave
| Amount
| fam_mat_leave_amount_repl_ILO2
| String
| Percentage of wages paid during covered period
| 3rd Party Data
|-
| [[ fam_mat_leave_amount_repl_ML | Amount of maternity benefit (in replacement rate) (Multilinks) ]]
| Leave
| Maternity Leave
| Amount
| fam_mat_leave_amount_repl_ML
| Metric
| Maternity benefit: Level of compensation (Share of earned income)
| 3rd Party Data
|-
| [[ fam_mat_leave_amount_repl_own | Amount of maternity benefit (in replacement rate) (own coding) ]]
| Leave
| Maternity Leave
| Amount
| fam_mat_leave_amount_repl_own
| Metric
| Amount - Maternity leave (own coding)
| Original CRC Data
|-
| [[ fam_mat_leave_amount_repl_WBL | Amount of maternity benefit (in replacement rate) (Worldbank) ]]
| Leave
| Maternity Leave
| Amount
| fam_mat_leave_amount_repl_WBL
| Metric
| What percentage of wages is paid during maternity leave?
| 3rd Party Data
|-
| [[ fam_mat_leave_avail_num | Number of maternity leave programs (ILO) ]]
| Leave
| Maternity Leave
| Availability
| fam_mat_leave_avail_num
| String
| Number of program(s) - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_avail_UN | Existence of maternity leave (paid or unpaid) (UN) ]]
| Leave
| Maternity Leave
| Availability
| fam_mat_leave_avail_UN
| Binary
| Maternity leave for childbirth with job security (paid or unpaid)
| 3rd Party Data
|-
| [[ fam_mat_leave_avail_WBL | Existence of maternity leave (paid or unpaid) (Worldbank) ]]
| Leave
| Maternity Leave
| Availability
| fam_mat_leave_avail_WBL
| Binary
| Does the law mandate paid or unpaid maternity leave?
| 3rd Party Data
|-
| [[ fam_mat_leave_con_contr_weeks | Qualifying period of contributions (weeks) (ILO) ]]
| Leave
| Maternity Leave
| Conditionality
| fam_mat_leave_con_contr_weeks
| Metric
| Qualifying period of contributions (weeks) - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_con_contr_work | Qualifying period of contribution/work (weeks) (ILO) ]]
| Leave
| Maternity Leave
| Conditionality
| fam_mat_leave_con_contr_work
| String
| Qualifying period of contribution/work (weeks) - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_con_contr_work2 | Qualifying period of contribution/work (in original unit) (ILO) ]]
| Leave
| Maternity Leave
| Conditionality
| fam_mat_leave_con_contr_work2
| String
| Qualifying period of contribution/work (unit to be mentioned) - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_con_own | Qualifying conditions for paid maternity leave (own coding) ]]
| Leave
| Maternity Leave
| Conditionality
| fam_mat_leave_con_own
| String
|
| Original CRC Data
|-
| [[ fam_mat_leave_con_work_weeks | Qualifying period of work (weeks) (ILO) ]]
| Leave
| Maternity Leave
| Conditionality
| fam_mat_leave_con_work_weeks
| Metric
| Qualifying period of work (weeks) - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_cov_eff | Effective coverage of maternity leave (ILO) ]]
| Leave
| Maternity Leave
| Coverage
| fam_mat_leave_cov_eff
| Metric
| Effective coverage of maternity leave (ILO)
| 3rd Party Data
|-
| [[ fam_mat_leave_cov_ILO | Coverage of maternity leave (ILO) ]]
| Leave
| Maternity Leave
| Coverage
| fam_mat_leave_cov_ILO
| String
| Coverage - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_cov_own | Aggregated de jure coverage of maternity program(s) (own coding) ]]
| Leave
| Maternity Leave
| Coverage
| fam_mat_leave_cov_own
| String
| Coverage - Maternity
| Original CRC Data
|-
| [[ fam_mat_leave_dur_ben_own | Duration of maternity benefit (in original unit) (own coding) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_ben_own
| String
| Duration - Maternity leave (in original unit) (own coding)
| Original CRC Data
|-
| [[ fam_mat_leave_dur_ben_own2 | Duration of maternity benefit (in weeks) (own coding) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_ben_own2
| Metric
| Duration - Maternity leave (in weeks) (own coding)
| Original CRC Data
|-
| [[ fam_mat_leave_dur_p_ILO2 | Duration of maternity leave (paid or unpaid) (in original unit) (ILO) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_p_ILO2
| String
| Length of maternity leave (in original units)
| 3rd Party Data
|-
| [[ fam_mat_leave_dur_paid_CF | Duration of paid maternity leave (weeks) (Comparative Family Database) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_paid_CF
| Metric
| Total number of weeks of maternity leave
| 3rd Party Data
|-
| [[ fam_mat_leave_dur_paid_ILO | Duration of paid maternity leave (weeks) (ILO) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_paid_ILO
| String
| Duration of benefit (weeks) - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_dur_paid_ML | Duration of paid maternity leave (weeks) (Multilinks) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_paid_ML
| Metric
| Duration of maternity leave (Weeks)
| 3rd Party Data
|-
| [[ fam_mat_leave_dur_paid_WBL | Duration of paid maternity leave (days) (Worldbank) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_paid_WBL
| Metric
| What is the length of paid maternity leave?
| 3rd Party Data
|-
| [[ fam_mat_leave_dur_unpaid_WBL | Duration of unpaid maternity leave (days) (Worldbank) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_unpaid_WBL
| Metric
| What is the length of unpaid maternity leave?
| 3rd Party Data
|-
| [[ fam_mat_leave_dur_w_ILO2 | Duration of maternity leave (paid or unpaid) (weeks) (ILO) ]]
| Leave
| Maternity Leave
| Duration
| fam_mat_leave_dur_w_ILO2
| String
| Length of maternity leave (weeks)
| 3rd Party Data
|-
| [[ fam_mat_leave_finance_ILO | Financing of maternity leave (ILO) ]]
| Leave
| Maternity Leave
| Financing
| fam_mat_leave_finance_ILO
| String
| Sources of Financing
| 3rd Party Data
|-
| [[ fam_mat_leave_finance_own | Financing of maternity leave (own coding) ]]
| Leave
| Maternity Leave
| Financing
| fam_mat_leave_finance_own
| String
| Financing - Maternity leave (own coding)
| Original CRC Data
|-
| [[ fam_mat_leave_finance_WBL | Financing of maternity leave (WBL) ]]
| Leave
| Maternity Leave
| Financing
| fam_mat_leave_finance_WBL
| String
| Who pays maternity leave benefits?
| 3rd Party Data
|-
| [[ fam_mat_leave_intro_ILO | Introduction of maternity leave (ILO) ]]
| Leave
| Maternity Leave
| Introduction
| fam_mat_leave_intro_ILO
| Date
| Date of the first law - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_intro_own | Introduction of maternity leave (own coding) ]]
| Leave
| Maternity Leave
| Introduction
| fam_mat_leave_intro_own
| Multinomial
| Presence of Legislation – Maternity
| Original CRC Data
|-
| [[ fam_mat_leave_provid_ILO2 | Provider of maternity benefits (ILO) ]]
| Leave
| Maternity Leave
| Financing
| fam_mat_leave_provid_ILO2
| String
| provider_mat
| 3rd Party Data
|-
| [[ fam_mat_leave_type_first_ILO | Type of first maternity leave program (ILO) ]]
| Leave
| Maternity Leave
| Financing
| fam_mat_leave_type_first_ILO
| String
| Types of program (1) - Maternity
| 3rd Party Data
|-
| [[ fam_mat_leave_type_ILO2 | Type of materniy leave program (ILO2) ]]
| Leave
| Maternity Leave
| Financing
| fam_mat_leave_type_ILO2
| String
| Type of program
| 3rd Party Data
|-
| [[ fam_mat_leave_type_second_ILO | Type of second maternity leave program (ILO) ]]
| Leave
| Maternity Leave
| Financing
| fam_mat_leave_type_second_ILO
| String
| Types of program (2) - Maternity
| 3rd Party Data
|-
| [[ fam_par_leave_intro_own| Introduction of parental leave (own coding) ]]
| Leave
| Parental Leave
| Introduction
| fam_par_leave_intro_own
| Date
| Date of the first law - Parental
| Original CRC Data
|-
| [[ fam_par_leave_amount_repl_CF | Parental leave replacement rate (Comparative Family Database) ]]
| Leave
| Parental Leave
| Amount
| fam_par_leave_amount_repl_CF
| Metric
| Cash benefits paid during parental leave (as a percent of female wages in manufacturing)
| 3rd Party Data
|-
| [[ fam_par_leave_amount_repl_ILO2 | Parental leave replacement rate (ILO2) ]]
| Leave
| Parental Leave
| Amount
| fam_par_leave_amount_repl_ILO2
| String
| Amount of parental leave cash benefits (% of previous earnings)
| 3rd Party Data
|-
| [[ fam_par_leave_amount_repl_ML | Parental leave replacement rate (Multilinks) ]]
| Leave
| Parental Leave
| Amount
| fam_par_leave_amount_repl_ML
| Metric
| Parental leave benefit: Level of payment (Share of earned income)
| 3rd Party Data
|-
| [[ fam_par_leave_amount_repl_WBL | Parental leave replacement rate (Worldbank) ]]
| Leave
| Parental Leave
| Amount
| fam_par_leave_amount_repl_WBL
| String
| What percentage of wages is paid during parental leave?
| 3rd Party Data
|-
| [[ fam_par_leave_avail_ILO | Existence of parental leave (paid or unpaid) (ILO) ]]
| Leave
| Parental Leave
| Availability
| fam_par_leave_avail_ILO
| Binary
| Existence of parental leave - Maternity
| 3rd Party Data
|-
| [[ fam_par_leave_avail_UN | Existence of parental leave (paid or unpaid) (UN) ]]
| Leave
| Parental Leave
| Availability
| fam_par_leave_avail_UN
| Binary
| Parental leave for childcare at home (paid or unpaid)
| 3rd Party Data
|-
| [[ fam_par_leave_avail_WBL | Existence of parental leave (paid or unpaid) (WBL) ]]
| Leave
| Parental Leave
| Availability
| fam_par_leave_avail_WBL
| Binary
| Does the law mandate paid or unpaid parental leave?
| 3rd Party Data
|-
| [[ fam_par_leave_dur_CF | Duration of parental leave (paid or unpaid) (weeks) (Comparative Family Database) ]]
| Leave
| Parental Leave
| Duration
| fam_par_leave_dur_CF
| Metric
| Total number of weeks of parental leave
| 3rd Party Data
|-
| [[ fam_par_leave_entitlement_own | Entitlement principle of parental leave (own coding) ]]
| Leave
| Parental leave
| Availability
| fam_par_leave_entitlement_own
| String
| Entitlement principle of parental leave (own coding)
| Original CRC Data
|-
| [[ fam_par_leave_dur_ben_own | Duration of parental benefit (in original units) (own coding) ]]
| Leave
| Parental Leave
| Duration
| fam_par_leave_dur_ben_own
| String
| Duration of parental benefit (in original units)
| Original CRC Data
|-
| [[ fam_par_leave_dur_ben_own2 | Duration of parental benefit (in weeks) (own coding) ]]
| Leave
| Parental Leave
| Duration
| fam_par_leave_dur_ben_own2
| Metric
| Duration of parental benefit (in weeks)
| Original CRC Data
|-
| [[ fam_par_leave_amount_own | Amount of parental benefit (in original unit) (own coding) ]]
| Leave
| Parental Leave
| Amount
| fam_par_leave_amount_own
| String
| Amount - Parental leave (in original units)
| Original CRC Data
|-
| [[ fam_par_leave_amount_repl_own | Amount of parental benefit (in replacement rate) (own coding) ]]
| Leave
| Parental Leave
| Amount
| fam_par_leave_amount_repl_own
| Metric
| Amount - Parental leave (in replacement rate) (own coding)
| Original CRC Data
|-
| [[ fam_par_leave_finance_own | Financing of parental leave (own coding) ]]
| Leave
| Parental Leave
| Financing
| fam_par_leave_finance_own
| String
| Financing - Parental leave (own coding)
| Original CRC Data
|-
| [[ fam_par_leave_dur_ILO2 | Duration of parental leave (paid and unpaid) (ILO) ]]
| Leave
| Parental Leave
| Duration
| fam_par_leave_dur_ILO2
| String
| Duration of parental leave (paid and unpaid) (ILO)
| 3rd Party Data
|-
| [[ fam_par_leave_dur_paid_ML | Duration of paid parental leave (months) (Multilinks) ]]
| Leave
| Parental Leave
| Duration
| fam_par_leave_dur_paid_ML
| Metric
| Parental leave benefit: Length of payment (Months)
| 3rd Party Data
|-
| [[ fam_par_leave_dur_paid_WBL | Duration of paid parental leave (days) (WBL) ]]
| Leave
| Parental Leave
| Duration
| fam_par_leave_dur_paid_WBL
| Metric
| What is the length of paid parental leave?
| 3rd Party Data
|-
| [[ fam_par_leave_dur_unpaid_WBL | Duration of unpaid parental leave (days) (Worldbank) ]]
| Leave
| Parental Leave
| Duration
| fam_par_leave_dur_unpaid_WBL
| Metric
| What is the length of unpaid parental leave?
| 3rd Party Data
|-
| [[ fam_par_leave_finance_ILO2 | Financing of parental leave (ILO) ]]
| Leave
| Parental Leave
| Financing
| fam_par_leave_finance_ILO2
| String
| Source of funding of parental leave cash benefits
| 3rd Party Data
|-
| [[ fam_par_leave_finance_WBL | Financing of parental leave (WBL) ]]
| Leave
| Parental Leave
| Financing
| fam_par_leave_finance_WBL
| String
| Who pays parental leave benefits?
| 3rd Party Data
|-
| [[ fam_pat_leave_type | Type of paternity leave ]]
| Leave
| Paternity Leave
| Availability
| fam_pat_leave_type
| String
| Type of paternity leave
| Original CRC Data
|-
| [[ fam_pat_leave_amount | Amount of paternity leave benefit (in original units) ]]
| Leave
| Paternity Leave
| Amount
| fam_pat_leave_amount
| String
| Amount of paternity leave benefit (in original units)
| Original CRC Data
|-
| [[ fam_pat_leave_amount_ceiling | Paternity leave benefit (maximum) ceiling ]]
| Leave
| Paternity Leave
| Amount
| fam_pat_leave_amount_ceiling
| Multinomial
| Paternity leave benefit (maximum) ceiling
| Original CRC Data
|-
| [[ fam_pat_leave_dur_unpaid | Duration of paid paternity leave (in original units) ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_paid
| String
| Duration of paid paternity leave (in original units)
| Original CRC Data
|-
| [[ fam_pat_leave_dur_unpaid | Duration of unpaid paternity leave (in original units) ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_unpaid
| String
| Duration of unpaid paternity leave (in original units)
| Original CRC Data
|-
| [[ fam_pat_leave_dur_total | Total duration of paternity leave in original units ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_total
| String
| Total duration of paternity leave in original units
| Original CRC Data
|-
| [[ fam_pat_leave_finance | Financing of paternity leave ]]
| Leave
| Paternity Leave
| Financing
| fam_pat_leave_finance
| String
| Financing of paternity leave
| Original CRC Data
|-
| [[ fam_pat_leave_elig_selfemployed | Paternity leave eligibility criteria: self-employment ]]
| Leave
| Paternity Leave
| Coverage
| fam_pat_leave_elig_selfemployed
| Multinomial
| Paternity leave eligibility criteria: self-employment
| Original CRC Data
|-
| [[ fam_pat_leave_elig_samesex | Paternity leave eligibility criteria: same-sex parent ]]
| Leave
| Paternity Leave
| Coverage
| fam_pat_leave_elig_samesex
| Multinomial
| Paternity leave eligibility criteria: same-sex parent
| Original CRC Data
|-
| [[ fam_pat_leave_elig_adoption | Paternity leave eligibility criteria: adopted child ]]
| Leave
| Paternity Leave
| Coverage
| fam_pat_leave_elig_adoption
| Multinomial
| Paternity leave eligibility criteria: adopted child
| Original CRC Data
|-
| [[ fam_pat_leave_intro_own| Introduction of paternity leave (own coding) ]]
| Leave
| Paternity Leave
| Introduction
| fam_pat_leave_intro_own
| Date
| Date of the first law - Paternity
| Original CRC Data
|-
| [[ fam_pat_leave_dur_ben_own | Duration of paternity benefit (in original units) (own coding) ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_ben_own
| String
| Duration of paternity benefit (in original units)
| Original CRC Data
|-
| [[ fam_pat_leave_dur_ben_own2 | Duration of paternity benefit (in weeks) (own coding) ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_ben_own2
| Metric
| Duration of paternity benefit (in weeks)
| Original CRC Data
|-
| [[ fam_pat_leave_amount_own | Amount of paternity benefit (in original unit) (own coding) ]]
| Leave
| Paternity Leave
| Amount
| fam_pat_leave_amount_own
| String
| Amount - Paternity leave (in original units)
| Original CRC Data
|-
| [[ fam_pat_leave_amount_repl_own | Amount of paternity benefit (in replacement rate) (own coding) ]]
| Leave
| Paternity Leave
| Amount
| fam_pat_leave_amount_repl_own
| Metric
| Amount - Paternity leave (in replacement rate) (own coding)
| Original CRC Data
|-
| [[ fam_pat_leave_finance_own | Financing of paternity leave (own coding) ]]
| Leave
| Paternity Leave
| Financing
| fam_pat_leave_finance_own
| String
| Financing - Paternity leave (own coding)
| Original CRC Data
|-
| [[ fam_pat_leave_amount_repl_ILO2 | Paternity leave replacement rate (ILO) ]]
| Leave
| Paternity Leave
| Amount
| fam_pat_leave_amount_repl_ILO2
| String
| Amount of paternity leave cash benefits (% of previous earnings)
| 3rd Party Data
|-
| [[ fam_pat_leave_amount_repl_ML | Paternity leave replacement rate (Multilinks) ]]
| Leave
| Paternity Leave
| Amount
| fam_pat_leave_amount_repl_ML
| Metric
| Paternity leave: Level of compensation (Share of earned income)
| 3rd Party Data
|-
| [[ fam_pat_leave_amount_repl_WBL | Paternity leave replacement rate (Worldbank) ]]
| Leave
| Paternity Leave
| Amount
| fam_pat_leave_amount_repl_WBL
| Metric
| What percentage of wages is paid during paternity leave?
| 3rd Party Data
|-
| [[ fam_pat_leave_avail_UN | Existence of paternity leave (paid or unpaid) (UN) ]]
| Leave
| Paternity Leave
| Availability
| fam_pat_leave_avail_UN
| Binary
| Paternity leave for childbirth with job security (paid or unpaid)
| 3rd Party Data
|-
| [[ fam_pat_leave_avail_WBL | Existence of paternity leave (paid or unpaid) (WBL) ]]
| Leave
| Paternity Leave
| Availability
| fam_pat_leave_avail_WBL
| Binary
| Does the law mandate paid or unpaid paternity leave?
| 3rd Party Data
|-
| [[ fam_pat_leave_dur_paid_ILO2 | Duration of paternity leave (paid or unpaid) (days) (ILO) ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_paid_ILO2
| String
| Duration of paternity leave (Days)
| 3rd Party Data
|-
| [[ fam_pat_leave_dur_paid_ML | Duration of paternity leave (days) (Multilinks) ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_paid_ML
| Metric
| Duration of paternity leave (Days)
| 3rd Party Data
|-
| [[ fam_pat_leave_dur_paid_WBL | Duration of paid paternity leave (days) (Worldbank) ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_paid_WBL
| Metric
| What is the length of paid paternity leave?
| 3rd Party Data
|-
| [[ fam_pat_leave_dur_unpaid_WBL | Duration of unpaid paternity leave (days) (Worldbank) ]]
| Leave
| Paternity Leave
| Duration
| fam_pat_leave_dur_unpaid_WBL
| Metric
| What is the length of unpaid paternity leave?
| 3rd Party Data
|-
| [[ fam_pat_leave_finance_ILO2 | Financing of paternity leave (ILO) ]]
| Leave
| Paternity Leave
| Financing
| fam_pat_leave_finance_ILO2
| String
| Source of funding of paternity leave cash benefits
| 3rd Party Data
|-
| [[ fam_pat_leave_finance_WBL | Financing of paternity leave (Worldbank) ]]
| Leave
| Paternity Leave
| Financing
| fam_pat_leave_finance_WBL
| String
| Who pays paternity leave benefits?
| 3rd Party Data
|-
| [[ fam_fcare_law_year | Year workplace childcare legislation was passed ]]
| Childcare & early education
| Workplace
| Legislation
| fam_fcare_law_year
| Date
|
|
|-
| [[ fam_fcare_min_workers | Workplace childcare: Minimum amount of (female) employees in establishment ]]
| Childcare & early education
| Workplace
| Legislation
| fam_fcare_min_workers
| Metric
|
|
|-
| [[ fam_fcare_max_age | Workplace childcare: Maximum age of children ]]
| Childcare & early education
| Workplace
| Legislation
| fam_fcare_max_age
| Metric
|
|
|-
| [[ fam_fcare_sector_ind | Workplace childcare legislation applies to sector: Industry ]]
| Childcare & early education
| Workplace
| Legislation
| fam_fcare_sector_ind
| Binary
|
|
|-
| [[ fam_fcare_sector_agr | Workplace childcare legislation applies to sector: Agriculture ]]
| Childcare & early education
| Workplace
| Legislation
| fam_fcare_sector_agr
| Binary
|
|
|-
| [[ fam_fcare_sector_com | Workplace childcare legislation applies to sector: Commercial ]]
| Childcare & early education
| Workplace
| Legislation
| fam_fcare_sector_com
| Binary
|
|
|-
| [[ fam_fcare_nurse | Workplace childcare legislation mandates only nursing room ]]
| Childcare & early education
| Workplace
| Legislation
| fam_fcare_nurse
| Binary
|
|
|-
| [[ fam_fcare_intro | Year first workplace childcare legislation of any type was passed ]]
| Childcare & early education
| Workplace
| Legislation
| fam_fcare_intro
| Date
|
|-
| [[ fam_ecec_sys_wrk_obl | Workplace Childcare: Obligation of Firms ]]
| Childcare & early education
| System
| Workplace
| fam_ecec_sys_wrk_obl
| Multinomial
|
| Original CRC Data
|-
| [[ fam_ecec_sys_wrk_resp | Workplace Childcare: Responsibility for implementation ]]
| Childcare & early education
| System
| Workplace
| fam_ecec_sys_wrk_resp
| Multinomial
|
| Original CRC Data
|-
| [[ fam_ecec_sys_wrk_type | Workplace Childcare: Type of service ]]
| Childcare & early education
| System
| Workplace
| fam_ecec_sys_wrk_type
| Multinomial
|
| Original CRC Data
|-
| [[ fam_ecec_sys_wrk_minworkers | Workplace Childcare: Minimum amount of workers ]]
| Childcare & early education
| System
| Workplace
| fam_ecec_sys_wrk_minworkers
| Metric
|
| Original CRC Data
|-
| [[ fam_ecec_sys_wrk_minworkers_f | Workplace Childcare: Minimum amount of workers gendered ]]
| Childcare & early education
| System
| Workplace
| fam_ecec_sys_wrk_minworkers_f
| Multinomial
|
| Original CRC Data
|-
| [[ fam_ecec_sys_wrk_sector | Workplace Childcare: Restriction to specific sectors ]]
| Childcare & early education
| System
| Workplace
| fam_ecec_sys_wrk_sector
| Multinomial
|
| Original CRC Data
|-
| [[ fam_ecec_sys_enr_ecec | Enrollment: Gross Enrollment in ECEC programs ]]
| Childcare & early education
| System
| Enrollment
| fam_ecec_sys_enr_ecec
| Metric
|
| CRC Compiled Data
|-
| [[ fam_ecec_sys_enr_pp | Enrollment: Gross Enrollment in Pre-Primary Schooling ]]
| Childcare & early education
| System
| Enrollment
| fam_ecec_sys_enr_pp
| Metric
|
| CRC Compiled Data
|-
| [[ fam_ecec_sys_leg_wrk | Legislative Basis: Workplace regulations ]]
| Childcare & early education
| System
| Legislation
| fam_ecec_sys_leg_wrk
| String
|
| Original CRC Data
|-
| [[ fam_ecec_sys_leg_edu | Legislative Basis: Education system ]]
| Childcare & early education
| System
| Legislation
| fam_ecec_sys_leg_edu
| String
|
| Original CRC Data
|-
| [[ fam_ecec_sys_leg_sup | Legislative Basis: (Financial) support provisions ]]
| Childcare & early education
| System
| Legislation
| fam_ecec_sys_leg_sup
| String
|
| Original CRC Data
|-
| [[ fam_ecec_age_0_sup | Entitlements & Regulations for Age 0: Support for families for childcare services ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 0
| fam_ecec_age_0_sup
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_0_wrk | Entitlements & Regulations for Age 0: Provision of workplace childcare ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 0
| fam_ecec_age_0_wrk
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_0_univ | Entitlements & Regulations for Age 0: Universality of availability ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 0
| fam_ecec_age_0_univ
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_0_edu_free | Entitlements & Regulations for Age 0: Free access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 0
| fam_ecec_age_0_edu_free
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_0_edu_comp | Entitlements & Regulations for Age 0: Compulsory access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 0
| fam_ecec_age_0_edu_comp
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_1_sup | Entitlements & Regulations for Age 1: Support for families for childcare services ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 1
| fam_ecec_age_1_sup
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_1_wrk | Entitlements & Regulations for Age 1: Provision of workplace childcare ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 1
| fam_ecec_age_1_wrk
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_1_univ | Entitlements & Regulations for Age 1: Universality of availability ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 1
| fam_ecec_age_1_univ
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_1_edu_free | Entitlements & Regulations for Age 1: Free access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 1
| fam_ecec_age_1_edu_free
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_1_edu_comp | Entitlements & Regulations for Age 1: Compulsory access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 1
| fam_ecec_age_1_edu_comp
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_2_sup | Entitlements & Regulations for Age 2: Support for families for childcare services ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 2
| fam_ecec_age_2_sup
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_2_wrk | Entitlements & Regulations for Age 2: Provision of workplace childcare ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 2
| fam_ecec_age_2_wrk
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_2_univ | Entitlements & Regulations for Age 2: Universality of availability ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 2
| fam_ecec_age_2_univ
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_2_edu_free | Entitlements & Regulations for Age 2: Free access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 2
| fam_ecec_age_2_edu_free
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_2_edu_comp | Entitlements & Regulations for Age 2: Compulsory access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 2
| fam_ecec_age_2_edu_comp
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_3_wrk | Entitlements & Regulations for Age 3: Provision of workplace childcare ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 3
| fam_ecec_age_3_wrk
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_3_univ | Entitlements & Regulations for Age 3: Universality of availability ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 3
| fam_ecec_age_3_univ
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_3_edu_free | Entitlements & Regulations for Age 3: Free access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 3
| fam_ecec_age_3_edu_free
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_3_edu_comp | Entitlements & Regulations for Age 3: Compulsory access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 3
| fam_ecec_age_3_edu_comp
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_4_wrk | Entitlements & Regulations for Age 4: Provision of workplace childcare ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 4
| fam_ecec_age_4_wrk
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_4_univ | Entitlements & Regulations for Age 4: Universality of availability ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 4
| fam_ecec_age_4_univ
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_4_edu_free | Entitlements & Regulations for Age 4: Free access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 4
| fam_ecec_age_4_edu_free
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_4_edu_comp | Entitlements & Regulations for Age 4: Compulsory access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 4
| fam_ecec_age_4_edu_comp
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_5_wrk | Entitlements & Regulations for Age 5: Provision of workplace childcare ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 5
| fam_ecec_age_5_wrk
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_5_univ | Entitlements & Regulations for Age 5: Universality of availability ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 5
| fam_ecec_age_5_univ
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_5_edu_free | Entitlements & Regulations for Age 5: Free access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 5
| fam_ecec_age_5_edu_free
| Binary
|
| Original CRC Data
|-
| [[ fam_ecec_age_5_edu_comp | Entitlements & Regulations for Age 5: Compulsory access to education ]]
| Childcare & early education
| Entitlements & Regulations by Age
| Age 5
| fam_ecec_age_5_edu_comp
| Binary
|
| Original CRC Data
|-
|}

Fam pat leave elig adoption

2025-11-29T16:09:25Z

Mgurin:

{{IndicatorForm
|datatype=Numeric
|scale=Multinomial
|scale=Multinomial
|scale=Multinomial
|valuelabels=0=no, 1=yes
|techname=fam_pat_leave_elig_adoption
|category=Family and gender policies
|label=Paternity leave eligibility criteria: adopted child
|relatedindicators=[[fam_pat_leave_elig_samesex]]
|description=Paternity leave eligibility criteria: adopted child
|codingrules=This variable indicates whether paternity leave entitlements extend to adoptive parents, reflecting whether fathers (or partners in same-sex couples) can access paternity leave not only at the birth of a child but also in cases of adoption.

'''Missing values''' are treated as following:

-999 = No information available: This code is used when data are unavailable or could not be found.

-888 = Policy does not exist: This code indicates that data collection was intentionally not pursued because it is known that no relevant policy exists for the country-year in question, or that the policy had been formally discontinued.

-777 = Not applicable: This code is applied when a variable is conceptually irrelevant to a given policy/context, or it was not collected because it was not relevant for a specific country or paternity leave system.

'''Definition''' of paternity leave:

In this dataset, paternity leave is defined as a public paid or unpaid parenting leave program available to fathers (and to mothers in same-sex couples) during the period before and after childbirth (or adoption of a child), serving as social protection to guarantee income and/or time-off during this period. It encompasses not only statutory entitlements formally labelled as ‘paternity leave’, but also other birth-related leave schemes that may appear in legislation under headings such as ‘special/exceptional leave’, ‘family leave’, ‘partner leave’ or equivalent designations. While the dataset primarily focuses on entitlements for private-sector employees, it also includes Thailand and Malaysia where analogous paternity-type leave existed (in the data-collection period) only for public-sector employees.

The dataset does not cover father-specific entitlements within parental leave schemes or entitlements under maternity leave provisions that may be accessible to fathers under specific conditions (such as the mother’s consent, incapacity, or death). Please refer to the Global Dataset of Parental Leave (GDParL) and the Historical Dataset on Maternity Leave (HDML) for a more comprehensive overview of these paid parenting leave systems.
|citation=
|relatedpublications=
|projectmanagers=Martin Gurín, Keonhi Son, Aysegül Kayaoglu, Tobias Böger, Anh Tran, and Sonja Drobnič (A06)
|datarelease=
|revisions=
|sources=* Council of Europe. Various years. Mutual Information System on Social Protection of the Council of Europe (MISSCEO). Strasbourg: Office for Official Publications of the European Communities.

* Feldman, K., & Gran, B. K. (2016). Is what's best for dads best for families: Paternity leave policies and equity across forty-four nations. J. Soc. & Soc. Welfare, 43, 95.

* Fluchtmann, J. (2023). Supporting equal parenting: Paid parental leave, in OECD (2023), Joining Forces for Gender Equality: What is Holding us Back?, OECD Publishing.

* Geneva Infant Feeding Association. Legislation on maternity protection in countries belonging to Africa. https://www.gifa.org/wp-content/uploads/2017/01/xxAfrica-countries-MP-legislationxx.pdf

* Güezmes García, A., & Vaeza, M. N. (2023). Advances in care policies in Latin America and the Caribbean: towards a care society with gender equality. Santiago: United Nations..

* Hyland, M., & Shen, L. (2022). The evolution of maternity and paternity leave policies over five decades. World Bank Working Papers, 10215, 1-30.

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ ilo/P/09607

* International Labour Organization. Various years. Maternity (and paternity) at work. Geneva: ILO.

* International Labour Organization. (2023). Care at work in Asia and the Pacific: Investing in care leave and services for a more gender equal world of work. ILO Regional Brief.

* International Network on Leave Policies & Research. Annual reviews. https://www.leavenetwork.org/annual-review-reports/archive-reviews/

* International Social Security Association. (2022). Social Security Around the World: Country Profiles. Geneva: ISSA. https:// www.issa.int/databases/country-profiles

* Jurviste, U., Prpic, M., & Sabbati, G. (2016). Maternity and Paternity Leave in the EU. European Parliament.

* Lupica, C. (2018). Time to care: Analysis of maternity, paternity and parental leaves in Latin America and the Caribbean. Revista del Ministerio de Empleo y Seguridad Social: Revista del Ministerio de Trabajo, Migraciones y Seguridad Social, (136), 149-168.

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missocdatabase/comparative-tables/

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo. org/dyn/natlex/natlex4.home

* O'Brien, M., & Wall, K. (2017). Comparative perspectives on work-life balance and gender equality: Fathers on leave alone. Springer Nature..

* OECD. (2016). Parental Leave: Where are the fathers?, Policy brief.

* OECD. (2017). OECD Family database, PF 2.5 Annex: Detail of change in parental leave by country, Paris: OECD Publishing. https://www.oecd.org/els/family/PF2_5_Trends_in_leave_entitlements_ around_childbirth_annex.pdf

* ParlAmericas, National frameworks. Available at: https://www.parlamericas.org/uploads/documents/National_frameworks.pdf

* Schulze, E., & Gergoric, M. (2015). Maternity, paternity and parental leave: Data related to duration and compensation rates in the European Union, European Parliament, Brussels.

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Thévenon, O., Adema, W. & Clarke, C. (2016). Backgrounder on Fathers’ Leave and its Use, 2016, OECD.

* UN Women. (2023). Knowledge, attitudes and practices of institutional actors on paternity leave and the role of men in childcare in the Middle East and North Africa Region.

* UNICEF. (2011). Childcare and Parental Leave. Number 12.

* UNFPA EECARO. (2023). The state of gender-responsive family policies in the Eastern Europe and Central Asia Region.

* Van Belle, J. (2016). Paternity and Parental Leave Policies across the European Union, RAND Corporation, Santa Monica and Cambridge.
}}

Fam pat leave elig samesex

2025-11-29T16:07:09Z

Mgurin:

{{IndicatorForm
|datatype=Numeric
|scale=Multinomial
|scale=Multinomial
|scale=Multinomial
|valuelabels=0=no, 1=yes
|techname=fam_pat_leave_elig_samesex
|category=Family and gender policies
|label=Paternity leave eligibility criteria: same-sex parent
|relatedindicators=[[fam_pat_leave_elig_adoption]]
|description=Paternity leave eligibility criteria: same-sex parent
|codingrules=This variable indicates whether same-sex partners are entitled to paternity leave. It may also enable same-sex mothers to access paternity leave in countries where such provisions exist.

'''Missing values''' are treated as following:

-999 = No information available: This code is used when data are unavailable or could not be found.

-888 = Policy does not exist: This code indicates that data collection was intentionally not pursued because it is known that no relevant policy exists for the country-year in question, or that the policy had been formally discontinued.

-777 = Not applicable: This code is applied when a variable is conceptually irrelevant to a given policy/context, or it was not collected because it was not relevant for a specific country or paternity leave system.

'''Definition''' of paternity leave:

In this dataset, paternity leave is defined as a public paid or unpaid parenting leave program available to fathers (and to mothers in same-sex couples) during the period before and after childbirth (or adoption of a child), serving as social protection to guarantee income and/or time-off during this period. It encompasses not only statutory entitlements formally labelled as ‘paternity leave’, but also other birth-related leave schemes that may appear in legislation under headings such as ‘special/exceptional leave’, ‘family leave’, ‘partner leave’ or equivalent designations. While the dataset primarily focuses on entitlements for private-sector employees, it also includes Thailand and Malaysia where analogous paternity-type leave existed (in the data-collection period) only for public-sector employees.

The dataset does not cover father-specific entitlements within parental leave schemes or entitlements under maternity leave provisions that may be accessible to fathers under specific conditions (such as the mother’s consent, incapacity, or death). Please refer to the Global Dataset of Parental Leave (GDParL) and the Historical Dataset on Maternity Leave (HDML) for a more comprehensive overview of these paid parenting leave systems.
|citation=
|relatedpublications=
|projectmanagers=Martin Gurín, Keonhi Son, Aysegül Kayaoglu, Tobias Böger, Anh Tran, and Sonja Drobnič (A06)
|datarelease=
|revisions=
|sources=* Council of Europe. Various years. Mutual Information System on Social Protection of the Council of Europe (MISSCEO). Strasbourg: Office for Official Publications of the European Communities.

* Feldman, K., & Gran, B. K. (2016). Is what's best for dads best for families: Paternity leave policies and equity across forty-four nations. J. Soc. & Soc. Welfare, 43, 95.

* Fluchtmann, J. (2023). Supporting equal parenting: Paid parental leave, in OECD (2023), Joining Forces for Gender Equality: What is Holding us Back?, OECD Publishing.

* Geneva Infant Feeding Association. Legislation on maternity protection in countries belonging to Africa. https://www.gifa.org/wp-content/uploads/2017/01/xxAfrica-countries-MP-legislationxx.pdf

* Güezmes García, A., & Vaeza, M. N. (2023). Advances in care policies in Latin America and the Caribbean: towards a care society with gender equality. Santiago: United Nations..

* Hyland, M., & Shen, L. (2022). The evolution of maternity and paternity leave policies over five decades. World Bank Working Papers, 10215, 1-30.

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ ilo/P/09607

* International Labour Organization. Various years. Maternity (and paternity) at work. Geneva: ILO.

* International Labour Organization. (2023). Care at work in Asia and the Pacific: Investing in care leave and services for a more gender equal world of work. ILO Regional Brief.

* International Network on Leave Policies & Research. Annual reviews. https://www.leavenetwork.org/annual-review-reports/archive-reviews/

* International Social Security Association. (2022). Social Security Around the World: Country Profiles. Geneva: ISSA. https:// www.issa.int/databases/country-profiles

* Jurviste, U., Prpic, M., & Sabbati, G. (2016). Maternity and Paternity Leave in the EU. European Parliament.

* Lupica, C. (2018). Time to care: Analysis of maternity, paternity and parental leaves in Latin America and the Caribbean. Revista del Ministerio de Empleo y Seguridad Social: Revista del Ministerio de Trabajo, Migraciones y Seguridad Social, (136), 149-168.

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missocdatabase/comparative-tables/

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo. org/dyn/natlex/natlex4.home

* O'Brien, M., & Wall, K. (2017). Comparative perspectives on work-life balance and gender equality: Fathers on leave alone. Springer Nature..

* OECD. (2016). Parental Leave: Where are the fathers?, Policy brief.

* OECD. (2017). OECD Family database, PF 2.5 Annex: Detail of change in parental leave by country, Paris: OECD Publishing. https://www.oecd.org/els/family/PF2_5_Trends_in_leave_entitlements_ around_childbirth_annex.pdf

* ParlAmericas, National frameworks. Available at: https://www.parlamericas.org/uploads/documents/National_frameworks.pdf

* Schulze, E., & Gergoric, M. (2015). Maternity, paternity and parental leave: Data related to duration and compensation rates in the European Union, European Parliament, Brussels.

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Thévenon, O., Adema, W. & Clarke, C. (2016). Backgrounder on Fathers’ Leave and its Use, 2016, OECD.

* UN Women. (2023). Knowledge, attitudes and practices of institutional actors on paternity leave and the role of men in childcare in the Middle East and North Africa Region.

* UNICEF. (2011). Childcare and Parental Leave. Number 12.

* UNFPA EECARO. (2023). The state of gender-responsive family policies in the Eastern Europe and Central Asia Region.

* Van Belle, J. (2016). Paternity and Parental Leave Policies across the European Union, RAND Corporation, Santa Monica and Cambridge.
}}

Fam pat leave elig selfemployed

2025-11-29T16:06:57Z

Mgurin:

{{IndicatorForm
|datatype=Numeric
|scale=Multinomial
|scale=Multinomial
|scale=Multinomial
|valuelabels=0=no, 1=yes
|techname=fam_pat_leave_elig_selfemployed
|category=Family and gender policies
|label=Paternity leave eligibility criteria: self-employment
|relatedindicators=
|description=Paternity leave eligibility criteria: self-employment
|codingrules=This variable indicates whether self-employed workers are entitled to paternity leave.

'''Missing values''' are treated as following:

-999 = No information available: This code is used when data are unavailable or could not be found.

-888 = Policy does not exist: This code indicates that data collection was intentionally not pursued because it is known that no relevant policy exists for the country-year in question, or that the policy had been formally discontinued.

-777 = Not applicable: This code is applied when a variable is conceptually irrelevant to a given policy/context, or it was not collected because it was not relevant for a specific country or paternity leave system.

'''Definition''' of paternity leave:

In this dataset, paternity leave is defined as a public paid or unpaid parenting leave program available to fathers (and to mothers in same-sex couples) during the period before and after childbirth (or adoption of a child), serving as social protection to guarantee income and/or time-off during this period. It encompasses not only statutory entitlements formally labelled as ‘paternity leave’, but also other birth-related leave schemes that may appear in legislation under headings such as ‘special/exceptional leave’, ‘family leave’, ‘partner leave’ or equivalent designations. While the dataset primarily focuses on entitlements for private-sector employees, it also includes Thailand and Malaysia where analogous paternity-type leave existed (in the data-collection period) only for public-sector employees.

The dataset does not cover father-specific entitlements within parental leave schemes or entitlements under maternity leave provisions that may be accessible to fathers under specific conditions (such as the mother’s consent, incapacity, or death). Please refer to the Global Dataset of Parental Leave (GDParL) and the Historical Dataset on Maternity Leave (HDML) for a more comprehensive overview of these paid parenting leave systems.
|citation=
|relatedpublications=
|projectmanagers=Martin Gurín, Keonhi Son, Aysegül Kayaoglu, Tobias Böger, Anh Tran, and Sonja Drobnič (A06)
|datarelease=
|revisions=
|sources=* Council of Europe. Various years. Mutual Information System on Social Protection of the Council of Europe (MISSCEO). Strasbourg: Office for Official Publications of the European Communities.

* Feldman, K., & Gran, B. K. (2016). Is what's best for dads best for families: Paternity leave policies and equity across forty-four nations. J. Soc. & Soc. Welfare, 43, 95.

* Fluchtmann, J. (2023). Supporting equal parenting: Paid parental leave, in OECD (2023), Joining Forces for Gender Equality: What is Holding us Back?, OECD Publishing.

* Geneva Infant Feeding Association. Legislation on maternity protection in countries belonging to Africa. https://www.gifa.org/wp-content/uploads/2017/01/xxAfrica-countries-MP-legislationxx.pdf

* Güezmes García, A., & Vaeza, M. N. (2023). Advances in care policies in Latin America and the Caribbean: towards a care society with gender equality. Santiago: United Nations..

* Hyland, M., & Shen, L. (2022). The evolution of maternity and paternity leave policies over five decades. World Bank Working Papers, 10215, 1-30.

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ ilo/P/09607

* International Labour Organization. Various years. Maternity (and paternity) at work. Geneva: ILO.

* International Labour Organization. (2023). Care at work in Asia and the Pacific: Investing in care leave and services for a more gender equal world of work. ILO Regional Brief.

* International Network on Leave Policies & Research. Annual reviews. https://www.leavenetwork.org/annual-review-reports/archive-reviews/

* International Social Security Association. (2022). Social Security Around the World: Country Profiles. Geneva: ISSA. https:// www.issa.int/databases/country-profiles

* Jurviste, U., Prpic, M., & Sabbati, G. (2016). Maternity and Paternity Leave in the EU. European Parliament.

* Lupica, C. (2018). Time to care: Analysis of maternity, paternity and parental leaves in Latin America and the Caribbean. Revista del Ministerio de Empleo y Seguridad Social: Revista del Ministerio de Trabajo, Migraciones y Seguridad Social, (136), 149-168.

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missocdatabase/comparative-tables/

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo. org/dyn/natlex/natlex4.home

* O'Brien, M., & Wall, K. (2017). Comparative perspectives on work-life balance and gender equality: Fathers on leave alone. Springer Nature..

* OECD. (2016). Parental Leave: Where are the fathers?, Policy brief.

* OECD. (2017). OECD Family database, PF 2.5 Annex: Detail of change in parental leave by country, Paris: OECD Publishing. https://www.oecd.org/els/family/PF2_5_Trends_in_leave_entitlements_ around_childbirth_annex.pdf

* ParlAmericas, National frameworks. Available at: https://www.parlamericas.org/uploads/documents/National_frameworks.pdf

* Schulze, E., & Gergoric, M. (2015). Maternity, paternity and parental leave: Data related to duration and compensation rates in the European Union, European Parliament, Brussels.

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Thévenon, O., Adema, W. & Clarke, C. (2016). Backgrounder on Fathers’ Leave and its Use, 2016, OECD.

* UN Women. (2023). Knowledge, attitudes and practices of institutional actors on paternity leave and the role of men in childcare in the Middle East and North Africa Region.

* UNICEF. (2011). Childcare and Parental Leave. Number 12.

* UNFPA EECARO. (2023). The state of gender-responsive family policies in the Eastern Europe and Central Asia Region.

* Van Belle, J. (2016). Paternity and Parental Leave Policies across the European Union, RAND Corporation, Santa Monica and Cambridge.
}}

Fam pat leave amount ceiling

2025-11-29T16:05:52Z

Mgurin:

{{IndicatorForm
|datatype=Numeric
|scale=Multinomial
|scale=Multinomial
|scale=Multinomial
|valuelabels=0=no, 1=yes
|techname=fam_pat_leave_amount_ceiling
|category=Family and gender policies
|label=Paternity leave benefit (maximum) ceiling
|relatedindicators=[[fam_pat_leave_amount]]
|description=Paternity leave benefit (maximum) ceiling
|codingrules=This variable provides information whether paid paternity benefits are capped at a maximum level, as is often the case in insurance-financed systems. This information is important for analyzing the incentive structure of paternity leave policies and understanding how benefit ceilings may affect fathers’ take-up of paternity leave.

'''Missing values''' are treated as following:

-999 = No information available: This code is used when data are unavailable or could not be found.

-888 = Policy does not exist: This code indicates that data collection was intentionally not pursued because it is known that no relevant policy exists for the country-year in question, or that the policy had been formally discontinued.

-777 = Not applicable: This code is applied when a variable is conceptually irrelevant to a given policy/context, or it was not collected because it was not relevant for a specific country or paternity leave system.

'''Definition''' of paternity leave:

In this dataset, paternity leave is defined as a public paid or unpaid parenting leave program available to fathers (and to mothers in same-sex couples) during the period before and after childbirth (or adoption of a child), serving as social protection to guarantee income and/or time-off during this period. It encompasses not only statutory entitlements formally labelled as ‘paternity leave’, but also other birth-related leave schemes that may appear in legislation under headings such as ‘special/exceptional leave’, ‘family leave’, ‘partner leave’ or equivalent designations. While the dataset primarily focuses on entitlements for private-sector employees, it also includes Thailand and Malaysia where analogous paternity-type leave existed (in the data-collection period) only for public-sector employees.

The dataset does not cover father-specific entitlements within parental leave schemes or entitlements under maternity leave provisions that may be accessible to fathers under specific conditions (such as the mother’s consent, incapacity, or death). Please refer to the Global Dataset of Parental Leave (GDParL) and the Historical Dataset on Maternity Leave (HDML) for a more comprehensive overview of these paid parenting leave systems.
|citation=
|relatedpublications=
|projectmanagers=Martin Gurín, Keonhi Son, Aysegül Kayaoglu, Tobias Böger, Anh Tran, and Sonja Drobnič (A06)
|datarelease=
|revisions=
|sources=* Council of Europe. Various years. Mutual Information System on Social Protection of the Council of Europe (MISSCEO). Strasbourg: Office for Official Publications of the European Communities.

* Feldman, K., & Gran, B. K. (2016). Is what's best for dads best for families: Paternity leave policies and equity across forty-four nations. J. Soc. & Soc. Welfare, 43, 95.

* Fluchtmann, J. (2023). Supporting equal parenting: Paid parental leave, in OECD (2023), Joining Forces for Gender Equality: What is Holding us Back?, OECD Publishing.

* Geneva Infant Feeding Association. Legislation on maternity protection in countries belonging to Africa. https://www.gifa.org/wp-content/uploads/2017/01/xxAfrica-countries-MP-legislationxx.pdf

* Güezmes García, A., & Vaeza, M. N. (2023). Advances in care policies in Latin America and the Caribbean: towards a care society with gender equality. Santiago: United Nations..

* Hyland, M., & Shen, L. (2022). The evolution of maternity and paternity leave policies over five decades. World Bank Working Papers, 10215, 1-30.

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ ilo/P/09607

* International Labour Organization. Various years. Maternity (and paternity) at work. Geneva: ILO.

* International Labour Organization. (2023). Care at work in Asia and the Pacific: Investing in care leave and services for a more gender equal world of work. ILO Regional Brief.

* International Network on Leave Policies & Research. Annual reviews. https://www.leavenetwork.org/annual-review-reports/archive-reviews/

* International Social Security Association. (2022). Social Security Around the World: Country Profiles. Geneva: ISSA. https:// www.issa.int/databases/country-profiles

* Jurviste, U., Prpic, M., & Sabbati, G. (2016). Maternity and Paternity Leave in the EU. European Parliament.

* Lupica, C. (2018). Time to care: Analysis of maternity, paternity and parental leaves in Latin America and the Caribbean. Revista del Ministerio de Empleo y Seguridad Social: Revista del Ministerio de Trabajo, Migraciones y Seguridad Social, (136), 149-168.

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missocdatabase/comparative-tables/

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo. org/dyn/natlex/natlex4.home

* O'Brien, M., & Wall, K. (2017). Comparative perspectives on work-life balance and gender equality: Fathers on leave alone. Springer Nature..

* OECD. (2016). Parental Leave: Where are the fathers?, Policy brief.

* OECD. (2017). OECD Family database, PF 2.5 Annex: Detail of change in parental leave by country, Paris: OECD Publishing. https://www.oecd.org/els/family/PF2_5_Trends_in_leave_entitlements_ around_childbirth_annex.pdf

* ParlAmericas, National frameworks. Available at: https://www.parlamericas.org/uploads/documents/National_frameworks.pdf

* Schulze, E., & Gergoric, M. (2015). Maternity, paternity and parental leave: Data related to duration and compensation rates in the European Union, European Parliament, Brussels.

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Thévenon, O., Adema, W. & Clarke, C. (2016). Backgrounder on Fathers’ Leave and its Use, 2016, OECD.

* UN Women. (2023). Knowledge, attitudes and practices of institutional actors on paternity leave and the role of men in childcare in the Middle East and North Africa Region.

* UNICEF. (2011). Childcare and Parental Leave. Number 12.

* UNFPA EECARO. (2023). The state of gender-responsive family policies in the Eastern Europe and Central Asia Region.

* Van Belle, J. (2016). Paternity and Parental Leave Policies across the European Union, RAND Corporation, Santa Monica and Cambridge.

* Woods, D. R., & Frankenberger, R. (2018). Family policy patterns in autocratic countries. In Handbook of Family Policy (pp. 289-306). Edward Elgar Publishing.
}}

Minimum monthly amount of citizenship-or residency-based child benefit, per child, in national currency

2025-11-26T18:52:56Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_min_child_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Minimum monthly amount per child, in national currency.
|relatedindicators = NA (no information available)
|description = The variable indicates the minimum monthly child benefit amount per child in nominal values, expressed in national currency. This variable is only coded for child benefits which are provided per individual child.
|codingrules = The variable assumes a value equal to the minimum monthly amount provided per child in nominal values, expressed in national currency. This data is based on information in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Minimum monthly amount of citizenship-or residency-based child benefit, per household, in national currency

2025-11-26T18:52:33Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_min_hh_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Minimum monthly amount per household, in national currency.
|relatedindicators = NA (no information available)
|description = The variable indicates the minimum monthly child benefit amount per household in nominal values, expressed in national currency. This variable is only coded for child benefits which are provided at the household-level.
|codingrules = The variable assumes a value equal to the minimum monthly amount provided per household in nominal values, expressed in national currency. This data is based on information in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Maximum monthly amount of citizenship-or residency-based child benefit, per household, in national currency

2025-11-26T18:52:13Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_max_hh_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount per household, in national currency.
|relatedindicators = NA (no information available)
|description = The variable indicates the maximum monthly child benefit amount per household in nominal values, expressed in national currency. This variable is only coded for child benefits which are provided at the household-level.
|codingrules = The variable assumes a value equal to the maximum monthly amount provided per household in nominal values, expressed in national currency. This data is based on information in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Maximum monthly amount of citizenship-or residency-based child benefit, per child, in national currency

2025-11-26T18:51:45Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_max_child_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly per child, in national currency.
|relatedindicators = NA (no information available)
|description = The variable indicates the maximum monthly child benefit amount per child in nominal values, expressed in national currency. This variable is only coded for child benefits which are provided per individual child. The dataset aims to provide comparable data on the maximum monthly child benefit amount across countries with different types of child benefits. Therefore, for transfers which are provided at the household-level, this variable estimates the equivalent cash transfer amount per child provided by transfers provided at the household level. This is based on demographic data compiled by the United Nations Department of Economic and Social Affairs (UN DESA).
|codingrules = The variable assumes a value equal to the maximum monthly amount provided per child in nominal values, expressed in national currency. This data is based on information in the relevant law or program description.

For transfers which are provided at the household-level, the equivalent cash transfer per child is calculated by dividing the maximum transfer per household (fam_cben_citres_amount_max_hh_nominal) by the average number of children (aged below 15 years) across households with at least one member aged below 15 years in the respective country.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Minimum monthly amount of citizenship-or residency-based child benefit, per household, in international dollars

2025-11-26T18:51:18Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_min_hh_real
|category= [[Family and gender policies|Family and gender policies]]
|label = Minimum monthly amount per household, in international dollars.
|relatedindicators = NA (no information available)
|description = The variable indicates the minimum monthly cash transfer amount per household in real values, expressed in international dollars based on purchasing power parity (PPP) conversion factors. PPP conversion factors were derived from the International Monetary Fund - World Economic Outlook (IMF-WEO) Database, to translate nominal values into international dollars.
|codingrules = The variable assumes a value equal to the minimum monthly cash transfer amount per household in international dollars based on purchasing power parity (PPP) conversion factors. The variable was calculated by dividing the minimum monthly cash transfer amount per household in nominal values (fam_cben_amount_min_hh_nominal) by the PPP conversion factor.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Minimum monthly amount of citizenship-or residency-based child benefit, per child, in international dollars

2025-11-26T18:50:51Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_min_child_real
|category= [[Family and gender policies|Family and gender policies]]
|label = Minimum monthly amount per child, in international dollars.
|relatedindicators = NA (no information available)
|description = The variable indicates the minimum monthly cash transfer amount per child in real values, expressed in international dollars based on purchasing power parity (PPP) conversion factors. PPP conversion factors were derived from the International Monetary Fund - World Economic Outlook (IMF-WEO) Database, to translate nominal values into international dollars.
|codingrules = The variable assumes a value equal to the minimum monthly cash transfer amount per child in international dollars based on purchasing power parity (PPP) conversion factors. The variable was calculated by dividing the minimum monthly cash transfer amount per child in nominal values (fam_cben_amount_min_child_nominal) by the PPP conversion factor.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).
* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Maximum monthly amount of citizenship-or residency-based child benefit, per household, in international dollars

2025-11-26T18:50:30Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_max_hh_real
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount per household, in international dollars.
|relatedindicators = NA (no information available)
|description = The variable indicates the maximum monthly cash transfer amount per household in real values, expressed in international dollars based on purchasing power parity (PPP) conversion factors. PPP conversion factors were derived from the International Monetary Fund - World Economic Outlook (IMF-WEO) Database, to translate nominal values into international dollars.
|codingrules = The variable assumes a value equal to the maximum monthly cash transfer amount per household in international dollars based on purchasing power parity (PPP) conversion factors. The variable was calculated by dividing the maximum monthly cash transfer amount per household in nominal values (fam_cben_amount_max_hh_nominal) by the PPP conversion factor.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Maximum monthly amount of citizenship-or residency-based child benefit, per child, in international dollars

2025-11-26T18:50:05Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_max_child_real
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount per child, in international dollars.
|relatedindicators = NA (no information available)
|description = The variable indicates the maximum monthly cash transfer amount per child in real values, expressed in international dollars based on purchasing power parity (PPP) conversion factors. PPP conversion factors were derived from the International Monetary Fund - World Economic Outlook (IMF-WEO) Database, to translate nominal values into international dollars.
|codingrules = The variable assumes a value equal to the maximum monthly cash transfer amount per household in international dollars based on purchasing power parity (PPP) conversion factors. The variable was calculated by dividing the maximum monthly cash transfer amount per child in nominal values (fam_cben_amount_max_child_nominal) by the PPP conversion factor.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

De facto coverage of the child population (%) by the child benefit for citizens/residents

2025-11-26T18:49:09Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_cov_eff_sharechild
|category= [[Family and gender policies|Family and gender policies]]
|label = De facto coverage of the child population (%).
|relatedindicators = NA (no information available)
|description = This variable estimates the share of children below the age of 18 years in the respective country who are effectively covered by the child benefit available for citizens/residents. In order to provide comparable data across countries, the variable has been compiled based on a number of assumptions and calculations. The variable is only coded for countries in the Global South.

* The share of children covered is calculated by dividing the number of child recipients in the respective year, by the corresponding child population (aged below 18 years) in that same year. Population data was obtained from the United Nations Department of Economic and Social Affairs (UN DESA) World Population Prospects (WPP) database.

* When the child benefit is provided per individual child, the calculation is based on the actual number of child recipients (fam_cben_citres_cov_eff_child) as published by administrative databases, relevant policy/program documentation or literature.

* When the child benefit is provided at the household-level, the calculation is based on an intermediate variable which estimates the number of children covered (fam_cben_citres_cov_eff_child_estimate) by multiplying household recipients with the average number of children (aged below 15 years) across households with at least one member aged below 15 years in the respective country.
|codingrules = The variable is calculated by dividing 'fam_cben_citres_cov_eff_child' by the population aged below 18 years. When this value is not available, the variable is calculated by dividing 'fam_cben_citres_cov_eff_child_estimate' by the population aged below 18 years. The result is multiplied by 100.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

De facto coverage of children by the child benefit for citizens/residents

2025-11-26T18:48:41Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_cov_eff_child
|category= [[Family and gender policies|Family and gender policies]]
|label = Number of child recipients of cash transfer
|relatedindicators = NA (no information available)
|description = The variable indicates the number of individual children effectively covered by the child benefit for citizens/residents. It reports the actual number of children that received a transfer within the respective year. The dataset aims to provide comparable data on the effective coverage across countries with different types of child benefits. Therefore, for transfers which are provided at the household-level, this variable estimates the equivalent number of children who are effectively covered by transfers provided at the household level. This is based on demographic data compiled by the United Nations Department of Economic and Social Affairs (UN DESA).
|codingrules = The variable reports the actual number of individual children who received a transfer in the respective year, as published by administrative databases, relevant policy/program documentation or literature. When information on the actual number of recipients was not available, the reported value may provide an approximation of the number of recipients and households covered.

Recipient numbers may vary month-by-month. The dataset reports the value in December, and when this is not available or applicable a value available within that same year is reported.

For transfers which are provided at the household-level, the equivalent number of child recipients is calculated by multiplying the number of household recipients of child benefits provided at the household-level (fam_cben_citres_cov_eff_hh) with the average number of children (aged below 15 years) across households with at least one member aged below 15 years in the respective country.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

De facto coverage of households by the child benefit for citizens/residents

2025-11-26T18:48:19Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_cov_eff_hh
|category= [[Family and gender policies|Family and gender policies]]
|label = Number of household recipients of cash transfer.
|relatedindicators = NA (no information available)
|description = The variable indicates the number of households effectively covered by the child benefit for citizens/residents. It reports the actual number of households that received a transfer within the respective year. The variable is only coded for child benefits which are provided at the household-level, rather than provided per indvidual child.
|codingrules = The variable reports the actual number of households who received a transfer in the respective year, as published by administrative databases, relevant policy/program documentation or literature. When information on the actual number of recipients was not available, the reported value may provide an approximation of the number of recipients and households covered.

Recipient numbers may vary month-by-month. The dataset reports the value in December, and when this is not available or applicable a value available within that same year is reported.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Behavioral conditions based on participatory activities in the child benefit for citizens/residents

2025-11-26T18:47:57Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_cond_particip
|category= [[Family and gender policies|Family and gender policies]]
|label = Behavioral conditions based on participatory activities.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether eligibility for the child benefit is conditional on attendance at trainings, meetings, activities or another form of social participation.

Across many countries in the Global South, there is variation in the behavioral conditions that are applicable for programs known as conditional cash transfers (CCTs). These are child benefits available for citizens/residents without contributions from employment that contain where eligibility is based on any type of behavioral condition (fam_cben_citres_cond). The dataset aims to capture this variation through the coding of multiple behavioral conditions which may apply in a certain country. Eligibility for a transfer may be based on one or a combination of the following: school enrolment and/or attendance (fam_cben_citres_cond_educ), attendance at health appointments (fam_cben_citres_cond_health), nutritional requirements (fam_cben_citres_cond_nutri), immunization (fam_cben_citres_cond_vaccin) or attendance at trainings, meetings, activities or another form of social participation (fam_cben_citres_cond_particip).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is conditional onattendance at trainings, meetings, activities or another form of social participation. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Behavioral conditions based on vaccination in the child benefit for citizens/residents

2025-11-26T18:47:34Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_cond_vaccin
|category= [[Family and gender policies|Family and gender policies]]
|label = Behavioral conditions based on vaccination.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether eligibility for the child benefit is conditional on immunization of the child.

Across many countries in the Global South, there is variation in the behavioral conditions that are applicable for programs known as conditional cash transfers (CCTs). These are child benefits available for citizens/residents without contributions from employment that contain where eligibility is based on any type of behavioral condition (fam_cben_citres_cond). The dataset aims to capture this variation through the coding of multiple behavioral conditions which may apply in a certain country. Eligibility for a transfer may be based on one or a combination of the following: school enrolment and/or attendance (fam_cben_citres_cond_educ), attendance at health appointments (fam_cben_citres_cond_health), nutritional requirements (fam_cben_citres_cond_nutri), immunization (fam_cben_citres_cond_vaccin) or attendance at trainings, meetings, activities or another form of social participation (fam_cben_citres_cond_particip).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is conditional on immunization of the child, as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Behavioral conditions based on nutrition in the child benefit for citizens/residents

2025-11-26T18:47:15Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_cond_nutri
|category= [[Family and gender policies|Family and gender policies]]
|label = Behavioral conditions based on nutrition.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether eligibility for the child benefit is conditional on meeting nutritional requirements.

Across many countries in the Global South, there is variation in the behavioral conditions that are applicable for programs known as conditional cash transfers (CCTs). These are child benefits available for citizens/residents without contributions from employment that contain where eligibility is based on any type of behavioral condition (fam_cben_citres_cond). The dataset aims to capture this variation through the coding of multiple behavioral conditions which may apply in a certain country. Eligibility for a transfer may be based on one or a combination of the following: school enrolment and/or attendance (fam_cben_citres_cond_educ), attendance at health appointments (fam_cben_citres_cond_health), nutritional requirements (fam_cben_citres_cond_nutri), immunization (fam_cben_citres_cond_vaccin) or attendance at trainings, meetings, activities or another form of social participation (fam_cben_citres_cond_particip).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is conditional on meeting nutritional requirements, as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Behavioral conditions based on health in the child benefit for citizens/residents

2025-11-26T18:46:54Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_cond_health
|category= [[Family and gender policies|Family and gender policies]]
|label = Behavioral conditions based on health.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether eligibility for the child benefit is conditional on attendance at health appointments.

Across many countries in the Global South, there is variation in the behavioral conditions that are applicable for programs known as conditional cash transfers (CCTs). These are child benefits available for citizens/residents without contributions from employment that contain where eligibility is based on any type of behavioral condition (fam_cben_citres_cond). The dataset aims to capture this variation through the coding of multiple behavioral conditions which may apply in a certain country. Eligibility for a transfer may be based on one or a combination of the following: school enrolment and/or attendance (fam_cben_citres_cond_educ), attendance at health appointments (fam_cben_citres_cond_health), nutritional requirements (fam_cben_citres_cond_nutri), immunization (fam_cben_citres_cond_vaccin) or attendance at trainings, meetings, activities or another form of social participation (fam_cben_citres_cond_particip).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is conditional on attendance at health appointments, as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Behavioral conditions based on education in the child benefit for citizens/residents

2025-11-26T18:46:29Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_cond_educ
|category= [[Family and gender policies|Family and gender policies]]
|label = Behavioral conditions based on education.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether eligibility for the child benefit is conditional on school enrolment and/or attendance.

Across many countries in the Global South, there is variation in the behavioral conditions that are applicable for programs known as conditional cash transfers (CCTs). These are child benefits available for citizens/residents without contributions from employment that contain where eligibility is based on any type of behavioral condition (fam_cben_citres_cond). The dataset aims to capture this variation through the coding of multiple behavioral conditions which may apply in a certain country. Eligibility for a transfer may be based on one or a combination of the following: school enrolment and/or attendance (fam_cben_citres_cond_educ), attendance at health appointments (fam_cben_citres_cond_health), nutritional requirements (fam_cben_citres_cond_nutri), immunization (fam_cben_citres_cond_vaccin) or attendance at trainings, meetings, activities or another form of social participation (fam_cben_citres_cond_particip).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is conditional on school enrolment and/or attendance, as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Behavioral conditions in the child benefit for citizens/residents

2025-11-26T18:46:06Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_cond
|category= [[Family and gender policies|Family and gender policies]]
|label = Behavioral conditions in the child benefit for citizens/residents.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether behavioral conditions are applicable in order for a parent or caregiver to be eligible for the child benefit available for citizens/residents of a country.

In most countries where behavioral conditions apply, eligibility for the child benefit is conditional on school attendance.

Across many countries in the Global South, there is variation in the behavioral conditions that are applicable for programs known as conditional cash transfers (CCTs). These are child benefits available for citizens/residents without contributions from employment that contain where eligibility is based on any type of behavioral condition (fam_cben_citres_cond). The dataset aims to capture this variation through the coding of multiple behavioral conditions which may apply in a certain country. Eligibility for a transfer may be based on one or a combination of the following: school enrolment and/or attendance (fam_cben_citres_cond_educ), attendance at health appointments (fam_cben_citres_cond_health), nutritional requirements (fam_cben_citres_cond_nutri), immunization (fam_cben_citres_cond_vaccin) or attendance at trainings, meetings, activities or another form of social participation (fam_cben_citres_cond_particip).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is based on behavioral conditions and 0 if otherwise, as indicated in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Means-testing of child benefit for citizens/residents based on vulnerable employment status outside of the formal workforce

2025-11-26T18:45:44Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_mt_emp
|category= [[Family and gender policies|Family and gender policies]]
|label = Means-testing based on vulnerable employment status.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether vulnerability is determined based on being outside of “formal” employment (e.g. unemployment, self-employment or informal). Here, eligibility for the benefit is assessed based on vulnerability of the employment status rather than contributions from employment, as a component of a means test in order to determine whether a parent or caregiver is eligible for the child benefit. The indicator aims to provide additional information on the mechanism through which a means test is determined for child benefits that are available to citizens or residents without contributions from employment (fam_cben_citres_mt).

Across many countries in the Global South, there is variation in the mechanisms adopted to determine eligibility based on vulnerability status in the absence of information on monthly incomes. The dataset aims to capture this variation through the coding of multiple means-testing mechanism which may apply in a certain country. The means test may be based on income (fam_cben_citres_mt_income), in which case the dataset also aims to provide income threshold (fam_cben_citres_mt_income_threshold). Other mechanisms may include one or a combination of the following: vulnerability determined based on geographic location (fam_cben_citres_mt_geo), proxy means testing (fam_cben_citres_mt_pmt), community-based targeting (fam_cben_citres_mt_cbt) or vulnerability determined based on the employment status, being outside of "formal" employment (fam_cben_citres_mt_emp).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is determined based on being outside of “formal” employment (e.g. unemployment, self-employment or informal), as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Means-testing of child benefit for citizens/residents based on community-based targeting

2025-11-26T18:45:23Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_mt_cbt
|category= [[Family and gender policies|Family and gender policies]]
|label = Means-testing of child benefit for citizens/residents based on community-based targeting.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether vulnerability is determined based on community-based targeting, as a component of a means test in order to determine whether a parent or caregiver is eligible for the child benefit. The indicator aims to provide additional information on the mechanism through which a means test is determined for child benefits that are available to citizens or residents without contributions from employment (fam_cben_citres_mt).

Across many countries in the Global South, there is variation in the mechanisms adopted to determine eligibility based on vulnerability status in the absence of information on monthly incomes. The dataset aims to capture this variation through the coding of multiple means-testing mechanism which may apply in a certain country. The means test may be based on income (fam_cben_citres_mt_income), in which case the dataset also aims to provide income threshold (fam_cben_citres_mt_income_threshold). Other mechanisms may include one or a combination of the following: vulnerability determined based on geographic location (fam_cben_citres_mt_geo), proxy means testing (fam_cben_citres_mt_pmt), community-based targeting (fam_cben_citres_mt_cbt) or vulnerability determined based on the employment status, being outside of "formal" employment (fam_cben_citres_mt_emp).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is determined based on community-based targeting, as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Means-testing of child benefit for citizens/residents based on proxy means test

2025-11-26T18:44:58Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_mt_pmt
|category= [[Family and gender policies|Family and gender policies]]
|label = Means-testing of child benefit for citizens/residents based on proxy means test.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether vulnerability is determined based on a proxy means test, as a component of a means test in order to determine whether a parent or caregiver is eligible for the child benefit. The indicator aims to provide additional information on the mechanism through which a means test is determined for child benefits that are available to citizens or residents without contributions from employment (fam_cben_citres_mt).

Across many countries in the Global South, there is variation in the mechanisms adopted to determine eligibility based on vulnerability status in the absence of information on monthly incomes. The dataset aims to capture this variation through the coding of multiple means-testing mechanism which may apply in a certain country. The means test may be based on income (fam_cben_citres_mt_income), in which case the dataset also aims to provide income threshold (fam_cben_citres_mt_income_threshold). Other mechanisms may include one or a combination of the following: vulnerability determined based on geographic location (fam_cben_citres_mt_geo), proxy means testing (fam_cben_citres_mt_pmt), community-based targeting (fam_cben_citres_mt_cbt) or vulnerability determined based on the employment status, being outside of "formal" employment (fam_cben_citres_mt_emp).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is determined based on a proxy means test, as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Income threshold for means-testing of child benefit for citizens/residents

2025-11-26T18:44:33Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_mt_income_threshold
|category= [[Family and gender policies|Family and gender policies]]
|label = Income threshold for means-testing of child benefit for citizens/residents.
|relatedindicators = NA (no information available)
|description = The variable indicates the income threshold for parents or caregivers to be eligible for a child benefit, if the benefit is means-tested based on income (fam_cben_citres_mt_income = 1). The nominal value is reported, expressed in national currency. The indicator aims to provide additional information on the mechanism through which a means test is determined for child benefits that are available to citizens or residents without contributions from employment (fam_cben_citres_mt).

Across many countries in the Global South, there is variation in the mechanisms adopted to determine eligibility based on vulnerability status in the absence of information on monthly incomes. The dataset aims to capture this variation through the coding of multiple means-testing mechanism which may apply in a certain country. The means test may be based on income (fam_cben_citres_mt_income), in which case the dataset also aims to provide income threshold (fam_cben_citres_mt_income_threshold). Other mechanisms may include one or a combination of the following: vulnerability determined based on geographic location (fam_cben_citres_mt_geo), proxy means testing (fam_cben_citres_mt_pmt), community-based targeting (fam_cben_citres_mt_cbt) or vulnerability determined based on the employment status, being outside of "formal" employment (fam_cben_citres_mt_emp).
|codingrules = The variable assumes a value equal to the income threshold based on which parents or caregivers are eligible for the child benefit, if the benefit is means-tested based on income This data is based on information in the relevant law or program description. When this information was not directly available, the following coding rules were followed.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Means-testing of child benefit for citizens/residents based on income

2025-11-26T18:44:06Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_mt_income
|category= [[Family and gender policies|Family and gender policies]]
|label = Means-testing of child benefit for citizens/residents based on income.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether vulnerability is determined based on their income being below a specific threshold, as a component of a means test in order to determine whether a parent or caregiver is eligible for the child benefit. The indicator aims to provide additional information on the mechanism through which a means test is determined for child benefits that are available to citizens or residents without contributions from employment (fam_cben_citres_mt).

Across many countries in the Global South, there is variation in the mechanisms adopted to determine eligibility based on vulnerability status in the absence of information on monthly incomes. The dataset aims to capture this variation through the coding of multiple means-testing mechanism which may apply in a certain country. The means test may be based on income (fam_cben_citres_mt_income), in which case the dataset also aims to provide income threshold (fam_cben_citres_mt_income_threshold). Other mechanisms may include one or a combination of the following: vulnerability determined based on geographic location (fam_cben_citres_mt_geo), proxy means testing (fam_cben_citres_mt_pmt), community-based targeting (fam_cben_citres_mt_cbt) or vulnerability determined based on the employment status, being outside of "formal" employment (fam_cben_citres_mt_emp).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is determined based on their income being below a specific threshold, as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Means-testing of child benefit for citizens/residents based on geographic location

2025-11-26T18:43:27Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_mt_geo
|category= [[Family and gender policies|Family and gender policies]]
|label = Means-testing of child benefit for citizens/residents based on geographic location.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether vulnerability is determined based on geographic location, as a component of a means test in order to determine whether a parent or caregiver is eligible for the child benefit. The indicator aims to provide additional information on the mechanism through which a means test is determined for child benefits that are available to citizens or residents without contributions from employment (fam_cben_citres_mt).

Across many countries in the Global South, there is variation in the mechanisms adopted to determine eligibility based on vulnerability status in the absence of information on monthly incomes. The dataset aims to capture this variation through the coding of multiple means-testing mechanism which may apply in a certain country. The means test may be based on income (fam_cben_citres_mt_income), in which case the dataset also aims to provide income threshold (fam_cben_citres_mt_income_threshold). Other mechanisms may include one or a combination of the following: vulnerability determined based on geographic location (fam_cben_citres_mt_geo), proxy means testing (fam_cben_citres_mt_pmt), community-based targeting (fam_cben_citres_mt_cbt) or vulnerability determined based on the employment status, being outside of "formal" employment (fam_cben_citres_mt_emp).
|codingrules = The variable assumes the value of 1 if eligibility for the child benefit for citizens/residents is determined based on their geographic location, as indicated in the relevant law or program description. The variable assumes the value of 0 if otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Socialprotection.org. Programme Profiles. https://socialprotection.org/discover/programme

* United Nations Economic Commission for Latin America and the Caribbean. Non-Contributory Social Protection Programmes in Latin America and the Caribbean Database. Santiago de Chile: UN ECLAC – Social Development Division. https://dds.cepal.org/bpsnc/home.

* UNU-WIDER. 2018. Social Assistance, Politics, and Institutions (SAPI) database [online]. Helsinki: United Nations University World Institute for Development Economics Research (UNU-WIDER). /project/sapi-social-assistance-politics-and-institutions-database.
}}

Means-testing of child benefit for citizens/residents

2025-11-26T18:43:03Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_mt
|category= [[Family and gender policies|Family and gender policies]]
|label = Means-testing of child benefit for citizens/residents.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether a means-test applies in order for a parent or caregiver to be eligible for the citizenship/residency-based child benefit. When the child benefit is means-tested, it is paid if either the household income or the individual income of the parent or caregiver is below a given threshold.
|codingrules = The variable assumes the value of 1 if the law prescribes that only households below a given income level are eligible for the citizenship-/residency-based child benefit, 0 otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4333
}}

Maximum monthly amount of citizenship- or residency-based child benefit in national currency for the THIRD child, aged 8

2025-11-26T18:42:17Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_max_child3_age8_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount of benefit for citizens/residents for the THIRD child, aged 8.
|relatedindicators = NA (no information available)
|description = This variable is part of a group of variables that indicate the maximum monthly child benefit amount per child in nominal values, expressed in national currency, in a hypothetical family with three children aged 8, 10 and 12 years old. Information on the benefit amounts was coded based on this hypothetical family for all countries in the Global North to account for variation in child benefit amounts based on the age of the child and the order of birth. This variable indicates the maximum monthly amount of the citizenship-/residency-based child benefit for the third child aged 8 years old.
|codingrules = The group of variables are compiled based on information from the Comparative Family Policy Database (Gauthier 2011), and also follow the same coding rules. The information was extended to recent years with information from the Mutual Information System on Social Protection (MISSOC).

The group of variables assume the maximum value of the following variables based on a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011):

* the maximum monthly amount received for the FIRST child, aged 12 for the employment-based (fam_cben_emp_amount_max_child1_age12_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child1_age12_nominal)

* the maximum monthly amount received for the SECOND child, aged 10 for the employment-based (fam_cben_emp_amount_max_child2_age10_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child2_age10_nominal)

* the maximum monthly amount received for the THIRD child, aged 8 for the employment-based (fam_cben_emp_amount_max_child3_age8_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child3_age8_nominal)

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* Gauthier, Anne H. 2011. Comparative Family Policy Database, Version 3 [computer file]. Netherlands Interdisciplinary Demographic Institute and Max Planck Institute for Demographic Research (distributors). www.demogr.mpg.de

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missoc-database/comparative-tables/

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw
}}

Maximum monthly amount of citizenship- or residency-based child benefit in national currency for the SECOND child, aged 10

2025-11-26T18:41:57Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_max_child2_age10_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount of benefit for citizens/residents for the SECOND child, aged 10.
|relatedindicators = NA (no information available)
|description = This variable is part of a group of variables that indicate the maximum monthly child benefit amount per child in nominal values, expressed in national currency, in a hypothetical family with three children aged 8, 10 and 12 years old. Information on the benefit amounts was coded based on this hypothetical family for all countries in the Global North to account for variation in child benefit amounts based on the age of the child and the order of birth. This variable indicates the maximum monthly amount of the citizenship-/residency-based child benefit for the second child aged 10 years old.
|codingrules = The group of variables are compiled based on information from the Comparative Family Policy Database (Gauthier 2011), and also follow the same coding rules. The information was extended to recent years with information from the Mutual Information System on Social Protection (MISSOC).

The group of variables assume the maximum value of the following variables based on a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011):

* the maximum monthly amount received for the FIRST child, aged 12 for the employment-based (fam_cben_emp_amount_max_child1_age12_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child1_age12_nominal)

* the maximum monthly amount received for the SECOND child, aged 10 for the employment-based (fam_cben_emp_amount_max_child2_age10_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child2_age10_nominal)

* the maximum monthly amount received for the THIRD child, aged 8 for the employment-based (fam_cben_emp_amount_max_child3_age8_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child3_age8_nominal)

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* Gauthier, Anne H. 2011. Comparative Family Policy Database, Version 3 [computer file]. Netherlands Interdisciplinary Demographic Institute and Max Planck Institute for Demographic Research (distributors). www.demogr.mpg.de

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missoc-database/comparative-tables/

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw
}}

Maximum monthly amount of citizenship- or residency-based child benefit in national currency for the FIRST child, aged 12

2025-11-26T18:41:38Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_amount_max_child1_age12_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount of benefit for citizens/residents for the FIRST child, aged 12.
|relatedindicators = NA (no information available)
|description = This variable is part of a group of variables that indicate the maximum monthly child benefit amount per child in nominal values, expressed in national currency, in a hypothetical family with three children aged 8, 10 and 12 years old. Information on the benefit amounts was coded based on this hypothetical family for all countries in the Global North to account for variation in child benefit amounts based on the age of the child and the order of birth. This variable indicates the maximum monthly amount of the citizenship-/residency-based child benefit for the first child aged 12 years old.
|codingrules = The group of variables are compiled based on information from the Comparative Family Policy Database (Gauthier 2011), and also follow the same coding rules. The information was extended to recent years with information from the Mutual Information System on Social Protection (MISSOC).

The group of variables assume the maximum value of the following variables based on a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011):

* the maximum monthly amount received for the FIRST child, aged 12 for the employment-based (fam_cben_emp_amount_max_child1_age12_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child1_age12_nominal)

* the maximum monthly amount received for the SECOND child, aged 10 for the employment-based (fam_cben_emp_amount_max_child2_age10_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child2_age10_nominal)

* the maximum monthly amount received for the THIRD child, aged 8 for the employment-based (fam_cben_emp_amount_max_child3_age8_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child3_age8_nominal)

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* Gauthier, Anne H. 2011. Comparative Family Policy Database, Version 3 [computer file]. Netherlands Interdisciplinary Demographic Institute and Max Planck Institute for Demographic Research (distributors). www.demogr.mpg.de

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missoc-database/comparative-tables/

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw
}}

Minimum number of children in a household for citizenship- or residency-based child benefit

2025-11-26T18:41:18Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_elig_minchild
|category= [[Family and gender policies|Family and gender policies]]
|label = Minimum number of children in a household for citizenship- or residency-based child benefit.
|relatedindicators = NA (no information available)
|description = The indicator refers to the minimum number of children for whom a parent or caregiver is eligible to receive employment-based child benefit, if this is applicable.
|codingrules = The variable assumes a value equal to the minimum number of children required for a parent to qualify for child benefits, as indicated in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4335
}}

Lower age limit for citizenship- or residency-based child benefit

2025-11-26T18:40:48Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_elig_minage
|category= [[Family and gender policies|Family and gender policies]]
|label = Lower age limit for citizenship- or residency-based child benefit.
|relatedindicators = NA (no information available)
|description = The indicator refers to the minimum age for children to be eligible for the child benefit for citizens/residents. The child must be of this age, at a minimum, in order for a parent or caregiver to be eligible to receive the child benefit.
|codingrules = The variable assumes a value equal to the minimum age that a child must be to qualify for child benefit, as indicated in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4334
}}

Maximum number of children in a household for citizenship- or residency-based child benefit

2025-11-26T18:40:28Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_elig_maxchild
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum number of children in a household for citizenship- or residency-based child benefit.
|relatedindicators = NA (no information available)
|description = The indicator refers to the maximum number of children for whom a parent or caregiver is eligible to receive the child benefit for citizens/residents, if this is applicable.
|codingrules = The variable assumes a value equal to the maximum number of children for which the child benefits are paid, as indicated in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4333
}}

Upper age limit for citizenship- or residency-based child benefit

2025-11-26T18:40:07Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_citres_elig_maxage
|category= [[Family and gender policies|Family and gender policies]]
|label = Upper age limit for citizenship- or residency-based child benefit.
|relatedindicators = NA (no information available)
|description = The indicator refers to the upper age limit for children to be eligible for the child benefit for citizens/residents. The child must be below this age in order for a parent or caregiver to be eligible to receive the benefit.
|codingrules = The variable indicates the maximum age for which a child is eligible for a child benefit, as indicated in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4332
}}

Availability of child benefit for residents, regardless of citizenship status

2025-11-26T18:39:44Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_citres_avail_resid
|category= [[Family and gender policies|Family and gender policies]]
|label = Availability of child benefit for residents, regardless of citizenship status.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether the child benefit for residents/citizens is available for all residents of a country, regardless of their status within the country, or whether only citizens are covered.
|codingrules = The variable assumes the value of 1 if the law prescribes that all residents of a country are eligible for child benefits, 0 if the law limits the eligibility to citizens.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4331
}}

Name of the program or law of child benefit for citizens/residents

2025-11-26T18:39:18Z

Mgurin:

{{Indicator
|datatype = String
|scale = String
|valuelabels = Not applicable
|techname = fam_cben_citres_avail_name
|category= [[Family and gender policies|Family and gender policies]]
|label = Name of the program or law of child benefit for citizens/residents.
|relatedindicators = NA (no information available)
|description = The indicator refers to the public name of the child benefit or the name of the law that underpins the child benefit available for residents/citizens regardless of contributions from employment.
|codingrules = The variable is coded based on the available law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4330
}}

Introduction year of citizen- or residency-based child benefit

2025-11-26T18:38:59Z

Mgurin:

{{Indicator
|datatype = Date
|scale = Date
|valuelabels = Not applicable
|techname = fam_cben_citres_avail_intro
|category= [[Family and gender policies|Family and gender policies]]
|label = Introduction year of citizen- or residency-based child benefit.
|relatedindicators = NA (no information available)
|description = The indicator refers to the year in which the relevant child benefit for residents or citizens, regardless of contributions from employment, was introduced in the respective country. This may include the introduction of a new child benefit policy or a modification of an existing child benefit prescribed by a new law or policy.
|codingrules = The variable assumes a value equal to the year in which the relevant citizenship-/residency-based child benefit was introduced in the respective country, based on the information prescribed in the relevant law or program description.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4329
}}

Maximum monthly amount of employment-based child benefit in national currency for the THIRD child, aged 8

2025-11-26T18:38:28Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_emp_amount_max_child3_age8_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount of employment-based benefit for the THIRD child, aged 8.
|relatedindicators = NA (no information available)
|description = This variable is part of a group of variables that indicate the maximum monthly child benefit amount per child in nominal values, expressed in national currency, in a hypothetical family with three children aged 8, 10 and 12 years old. Information on the benefit amounts was coded based on this hypothetical family for all countries in the Global North to account for variation in child benefit amounts based on the age of the child and the order of birth. This variable indicates the maximum monthly amount of the employment-based child benefit for the third child aged 8 years old.
|codingrules = The group of variables are compiled based on information from the Comparative Family Policy Database (Gauthier 2011), and also follow the same coding rules. The information was extended to recent years with information from the Mutual Information System on Social Protection (MISSOC).

The group of variables assume the maximum value of the following variables based on a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011):

* the maximum monthly amount received for the FIRST child, aged 12 for the employment-based (fam_cben_emp_amount_max_child1_age12_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child1_age12_nominal)

* the maximum monthly amount received for the SECOND child, aged 10 for the employment-based (fam_cben_emp_amount_max_child2_age10_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child2_age10_nominal)

* the maximum monthly amount received for the THIRD child, aged 8 for the employment-based (fam_cben_emp_amount_max_child3_age8_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child3_age8_nominal)

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* Gauthier, Anne H. 2011. Comparative Family Policy Database, Version 3 [computer file]. Netherlands Interdisciplinary Demographic Institute and Max Planck Institute for Demographic Research (distributors). www.demogr.mpg.de

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missoc-database/comparative-tables/

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw
}}

Maximum monthly amount of employment-based child benefit in national currency for the SECOND child, aged 10

2025-11-26T18:38:06Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_emp_amount_max_child2_age10_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount of employment-based benefit for the SECOND child, aged 10.
|relatedindicators = NA (no information available)
|description = This variable is part of a group of variables that indicate the maximum monthly child benefit amount per child in nominal values, expressed in national currency, in a hypothetical family with three children aged 8, 10 and 12 years old. Information on the benefit amounts was coded based on this hypothetical family for all countries in the Global North to account for variation in child benefit amounts based on the age of the child and the order of birth. This variable indicates the maximum monthly amount of the employment-based child benefit for the second child aged 10 years old.
|codingrules = The group of variables are compiled based on information from the Comparative Family Policy Database (Gauthier 2011), and also follow the same coding rules. The information was extended to recent years with information from the Mutual Information System on Social Protection (MISSOC).

The group of variables assume the maximum value of the following variables based on a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011):

* the maximum monthly amount received for the FIRST child, aged 12 for the employment-based (fam_cben_emp_amount_max_child1_age12_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child1_age12_nominal)

* the maximum monthly amount received for the SECOND child, aged 10 for the employment-based (fam_cben_emp_amount_max_child2_age10_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child2_age10_nominal)

* the maximum monthly amount received for the THIRD child, aged 8 for the employment-based (fam_cben_emp_amount_max_child3_age8_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child3_age8_nominal)

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* Gauthier, Anne H. 2011. Comparative Family Policy Database, Version 3 [computer file]. Netherlands Interdisciplinary Demographic Institute and Max Planck Institute for Demographic Research (distributors). www.demogr.mpg.de

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missoc-database/comparative-tables/

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw
}}

Maximum monthly amount of employment-based child benefit in national currency for the FIRST child, aged 12

2025-11-26T18:37:42Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Metric
|valuelabels = Not applicable
|techname = fam_cben_emp_amount_max_child1_age12_nominal
|category= [[Family and gender policies|Family and gender policies]]
|label = Maximum monthly amount of employment-based benefit for the FIRST child, aged 12.
|relatedindicators = NA (no information available)
|description = This variable is part of a group of variables that indicate the maximum monthly child benefit amount per child in nominal values, expressed in national currency, in a hypothetical family with three children aged 8, 10 and 12 years old. Information on the benefit amounts was coded based on this hypothetical family for all countries in the Global North to account for variation in child benefit amounts based on the age of the child and the order of birth. This variable indicates the maximum monthly amount of the employment-based child benefit for the first child aged 12 years old.
|codingrules = The group of variables are compiled based on information from the Comparative Family Policy Database (Gauthier 2011), and also follow the same coding rules. The information was extended to recent years with information from the Mutual Information System on Social Protection (MISSOC).

The group of variables assume the maximum value of the following variables based on a hypothetical family with three children aged 8-, 10-, and 12-year-old (Gauthier 2011):

* the maximum monthly amount received for the FIRST child, aged 12 for the employment-based (fam_cben_emp_amount_max_child1_age12_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child1_age12_nominal)

* the maximum monthly amount received for the SECOND child, aged 10 for the employment-based (fam_cben_emp_amount_max_child2_age10_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child2_age10_nominal)

* the maximum monthly amount received for the THIRD child, aged 8 for the employment-based (fam_cben_emp_amount_max_child3_age8_nominal) or citizenship-/residency-based child benefit (fam_cben_citres_amount_max_child3_age8_nominal)

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* Gauthier, Anne H. 2011. Comparative Family Policy Database, Version 3 [computer file]. Netherlands Interdisciplinary Demographic Institute and Max Planck Institute for Demographic Research (distributors). www.demogr.mpg.de

* Mutual Information System on Social Protection. MISSOC database: Comparative tables. https://www.missoc.org/missoc-database/comparative-tables/

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw
}}

De jure coverage of self-employed workers by employment-based child benefit

2025-11-26T18:37:19Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_emp_cov_self
|category= [[Family and gender policies|Family and gender policies]]
|label = De jure coverage of self-employed workers by employment-based child benefit.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether the employment-based child benefit is available for a parent or caregiver who is self-employed. Overall, the employment-based child benefit may be available to parents or caregivers employed in one specific sector or across multiple sectors. A broad categorization of occupations was used to distinguish between the following groups: those employed in the agricultural sector (fam_cben_emp_sector_agr), those employed in the commerce sector (fam_cben_emp_sector_com), those employed in the industrial sector (fam_cben_emp_sector_ind) or those who are self-employed (fam_cben_emp_sector_self).
|codingrules = The variable assumes the value of 1 if the law prescribes that self-employed parents or caregivers are eligible for the employment-based child benefit, 0 otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4330
}}

De jure coverage of workers in the industrial sector by employment-based child benefit

2025-11-26T18:36:58Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_emp_cov_ind
|category= [[Family and gender policies|Family and gender policies]]
|label = De jure coverage of workers in the industrial sector by employment-based child benefit.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether the employment-based child benefit is available for a parent or caregiver employed in the industrial sector. Overall, the employment-based child benefit may be available to parents or caregivers employed in one specific sector or across multiple sectors. A broad categorization of occupations was used to distinguish between the following groups: those employed in the agricultural sector (fam_cben_emp_sector_agr), those employed in the commerce sector (fam_cben_emp_sector_com), those employed in the industrial sector (fam_cben_emp_sector_ind) or those who are self-employed (fam_cben_emp_sector_self).
|codingrules = The variable assumes the value of 1 if the law prescribes that parents or caregivers employed in the industrial sector are eligible for the employment-based child benefit, 0 otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4329
}}

De jure coverage of workers in the commercial sector by employment-based child benefit

2025-11-26T18:36:36Z

Mgurin:

{{Indicator
|datatype = Numeric
|scale = Multinomial
|valuelabels = 0 = "No", 1 = "Yes"
|techname = fam_cben_emp_mt
|category= [[Family and gender policies|Family and gender policies]]
|label = Means-testing of employment-based child benefit.
|relatedindicators = NA (no information available)
|description = The indicator identifies whether a means-test applies in order for a parent or caregiver to be eligible for the employment-based child benefit. When the employment-based child benefit is means-tested, it is paid if either the household income or the individual income of the parent or caregiver is below a given threshold.
|codingrules = The variable assumes the value of 1 if the law prescribes that only households below a given income level are eligible for the employment-based child benefit, 0 otherwise.

Missing information is coded as follows:

* -999 = No information available: Data was unavailable or could not be found.

* -888 = Policy does not exist: Data was not collected due to knowledge that the policy either does not exist or has been discontinued.

* -777 = Not applicable: Data was not collected because it was not relevant for this specific country or child benefit system.
|citation = Tran, Anh, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič.
2025. Codebook of the Global Dataset of Child Benefits (GDCB), SFB 1342, Technical Paper Series/19/2025, Bremen: CRC 1342, doi: 10.26092/elib/4077.
|relatedpublications = Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|projectmanagers = Anh Tran, Simone Tonelli, Martin Gurín, Tobias Böger, Keonhi Son, Aysegül Kayaoglu and Sonja Drobnič (A06)
|datarelease = Version 0.003: Third release
|revisions = This codebook is an updated version of the publication: Tonelli, Simone, Tobias Böger, Keonhi Son, Petra Buhr, Sonja Drobnič, and Johannes Huinink. 2021. Codebook of Historical Dataset of Child Benefit (HDCB). Bremen: SFB 1342. https://media.suub.uni-bremen.de/handle/elib/5939.
|sources = Below is a list of common sources used to gather information on multiple countries. For country-specific sources and calculations, please refer to the Codebook of the Global Dataset of Child Benefits (Tran et al. 2025).

* International Social Security Association. 2022. Social Security Around the World: Country Profiles. Geneva: ISSA. https://www.issa.int/databases/country-profiles

* International Labour Organization. Various years. Legislative Series. Geneva: ILO. https://www.ilo.org/public/libdoc/ilo/P/09607

* NATLEX. Database of National Labour, Social Security and Related Human Rights Legislation. Geneva: ILO. https://www.ilo.org/dyn/natlex/natlex4.home

* Social Security Administration. Various years. Social Security Programs Throughout the World. Washington, DC: Government Printing Office. 1949-1999 reports: https://catalog.hathitrust.org/Record/003924614 2001-2019 reports: https:// www.ssa.gov/policy/docs/progdesc/ssptw

* Waggaman, Mary T. Family Allowances in Foreign Countries: Bulletin of the United States Bureau of Labor Statistics, No. 401. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4026

* Waggaman, Mary T. Family Allowances in 1937 and 1938, 48 Monthly Lab. Rev. 1026 (1939)

* Waggaman, Mary T. Family Allowances in Various Countries: Bulletin of the United States. Bureau of Labor Statistics, No. 754. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/family-allowances-variouscountries-4239

* Wagemann, Mary T. Family Allowances in Various Countries, 1944-45: Bulletin of the United States Bureau of Labor Statistics, No. 853. Washington: U.S. Government Printing Office. https://fraser.stlouisfed.org/title/4326
}}

De jure coverage of workers in the agricultural sector by employment-based child benefit

2025-11-26T18:36:14Z

Mgurin:

Means-testing of employment-based child benefit

2025-11-26T18:35:45Z

Mgurin: