Studies across countries find that single-mother households are socioeconomically disadvantaged. However, the heterogeneity of these households is regularly overlooked in the literature, with lone-mother households (with only one female adult) frequently undifferentiated from households in which a single mother lives with other adults. Using the Socio-Economic Database for Latin America and the Caribbean, we examine lone-mother households across 15 countries, focusing on the prevalence of lone motherhood, socioeconomic characteristics and outcomes, and the role of social assistance in improving the economic well-being of these households. Among households with children, the share of lone-mother households is steadily increasing. The same holds for the share of children growing up in lone-mother households. Lone mothers have higher labor force participation and are more likely to receive private and public transfers than women who raise children with other adults. Yet, at 45.5 percent, lone-mother households have comparatively high poverty rates in a region where the overall poverty rate is 26.8 percent. Our findings have implications for social policy and future research
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Core(TM) Ultra 7 165U @ 2.60GHz
• Memory available: 18 GB
~1.5 hours runtime.
To reproduce the findings in this study, please follow the steps below:
00_master.do.00_master.do./input directory must contain two subfolders: 2022 and historical.
The 2022 folder should include the harmonized country-level datasets used to construct the Latin America and the Caribbean (LAC) microdatasets. These files must be named exactly as follows: countryname_2022.dta (one file per country), lac_circa_2022.dta, lac_circa_2022_variables.dta, lac_circa_2022-PCACL-9TQSQ74.dta.
The historical folder must include country-level panel files covering the period 2007–2022. These files must follow the naming convention:
country code_year.dta (e.g. ARG_2007).
In addition, the following Colombia datasets must be placed directly in the /input folder (not inside subfolders):
All data are restricted and limited-access and have not been included in the reproducibility package. For more details, please refer to the README file. (Limited-access/Restricted Data)
| Author | Affiliation | |
|---|---|---|
| Laura Cuesta | Rutgers, The State University of New Jersey | lcuesta@ssw.rutgers.edu |
| Jacobus de Hoop | World Bank | jdehoop@worldbank.org |
| Hugo Ñopo | World Bank | hnopoaguilar@worldbank.org |
2026-02-18
| Location | Code |
|---|---|
| Latin America | LAC |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Laura Cuesta | Rutgers, The State University of New Jersey | lcuesta@ssw.rutgers.edu |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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