Policy Instrument:
Definition
A social registry is a comprehensive information instrument that aims to collect, process, systematise, and disseminate data for the identification and socioeconomic characterisation of low-income families. It usually comprises a data collection instrument (with standardised procedures), a robust database, and an information system. Social registries capture a broad set of information about low-income persons and their families, including income levels, access to education, water and basic sanitation, and employment status. They also provide information regarding household characteristics and can include specific data about families belonging to traditional communities.
Rationale
The establishment of a social registry is critical for the effective targeting, coordination, and delivery of social policies. By maintaining centralised, up-to-date socioeconomic data, governments can accurately select beneficiaries for interventions and make informed, evidence-based policy decisions. Furthermore, social registries are essential for adaptive, shock-responsive social protection, as they enable policymakers to rapidly identify and support vulnerable households during systemic crises, such as natural disasters or pandemics. As these systems evolve to include vulnerable and even middle-income households, they provide a foundational infrastructure for monitoring programme impact and ensuring a timely response to dynamic socioeconomic needs.
Key Features
- Standardised Data Collection: The utilisation of uniform instruments and methodological procedures to capture detailed socioeconomic data at the individual and household levels, ensuring high data quality.
- Targeting and Poverty Measurement: The registry's data architecture is linked to national definitions of poverty, food security, and nutrition. It facilitates accurate targeting by operationalising indicators such as proxy means tests, Multidimensional Poverty Indices (MPI), the Food Insecurity Experience Scale (FIES), or living income benchmarks, amongst others.
- Dynamic and Broad Coverage: Modern registries increasingly strive for dynamic inclusion, expanding their scope to reach beyond poor households and to encompass broader vulnerable populations or even middle class households who may eventually be in need of social programs, thereby providing a more comprehensive overview of a country's welfare landscape.
- Programme Implementation and Responsiveness: They serve as the central mechanism for beneficiary selection across multiple social programmes, such as many flagship Conditional cash transfers (CCTs) programmes in Latin America since the 1990s, including Chile, Colombia, Brazil, Costa Rica, among others.
- Monitoring and Evaluation: Incorporating continuous data updates to monitor beneficiary status, supporting inter-institutional coordination and the evaluation of social policy effectiveness.
Low-income families
Overview
Social registries are, first and foremost, information infrastructure: their impact case rests less on a single outcome than on how far they improve identification, coordination, and dynamic inclusion of poor and vulnerable households across the programmes that draw on them. They are now widespread: of the 131 countries in the World Bank's Social Registry Database, 62 have an established registry, together covering more than 1.1 billion people, or about 41% of their populations on average (Guven et al., 2025). A registry's value compounds with the number and diversity of programmes that plug into it: coverage, coordination gains, and administrative efficiencies scale with the breadth of the “user programme” network built on top of the registry, not with its data-collection instrument alone, and data-collection costs fall relative to the benefits delivered as more programmes share the same intake (Direito et al., 2016; Guven et al., 2025; Monge & Tejerina, 2023; Zhu et al., 2022). How a registry is kept up to date matters as much as its size. Static registries, refreshed on average only every 3.7 years, quickly become outdated and generate both inclusion and exclusion errors, whereas dynamic registries, which combine on-demand registration with data drawn from other administrative databases, allow governments to correct misclassification and scale up rapidly during shocks. During the COVID-19 pandemic, 34 of the 62 countries with registries used them to deliver emergency assistance (Guven et al., 2025).
Evidence from Selected Countries
Brazil
Brazil's Single Registry (Cadastro Único), established in the early 2000s and widely regarded as a global benchmark for social registries (Guven et al., 2025), is the entry point to the country's main social programmes. In September 2026 it held records for 43.4 million families, of which 27.9 million had per capita incomes of up to half the minimum wage and 19.6 million were below the Bolsa Família poverty line (MDS, 2026a); in the same month, 19.3 million families were receiving Bolsa Família (MDS, 2026b). The registry covers about 43% of the population, a level the government deliberately keeps focused on the most vulnerable (Guven et al., 2025). The number of programmes drawing on it has grown from 38 federal programmes in 2016 (27 for beneficiary selection and 11 for monitoring), a scale of reuse Direito et al. (2016) treat as direct evidence of its coordination value, to around 60 today (Guven et al., 2025). During the COVID-19 pandemic, Brazil added about 40 million people to the registry by combining survey-based registration with data from administrative databases (Guven et al., 2025). With Bolsa Família eligibility verified through automated cross-checks between Cadastro Único and federal tax, social-security and employment records, Pontuschka et al. (2025) find that 28% of poor households and 20% of poor individuals meeting the official threshold were not receiving the benefit in 2023, with exclusion rising under broader poverty lines.
China
China's national poverty registration and dynamic-management system was built through the 2014 “Precise Poverty Identification” exercise, in which roughly 800,000 officials registered every poor household nationally, supplementing unreliable income data with housing and durable-asset checks (World Bank & Development Research Center of the State Council, 2022; The State Council Information Office of the People's Republic of China, 2021). The first round identified 128,000 poor villages, 29.48 million poor households and 89.62 million poor people; a 2015–16 re-identification round added 8.07 million poor people and removed 9.29 million households previously misclassified as poor, with further dynamic-management rounds in 2017 (Liu et al., 2018). Using the Alkire–Foster method on registration data, Li et al. (2022) find that a multidimensional measure targeted better than an income-only one, and that registered households received more public assistance than poor households that were never registered. Drawing on field interviews, Zhu et al. (2022) argue that the registry's big-data monitoring platform raised bureaucratic competence (more accurate, better-coordinated policy) and reliability (easier detection of corruption).
Costa Rica
Costa Rica's National System of Information and Single Registry of State Beneficiaries (SINIRUBE) integrates socioeconomic data covering close to 95% of the population with benefit-recipient data covering about 80% of total state benefits, drawn from 34 public institutions and 42 social assistance programmes (Monge & Tejerina, 2023). Cross-referencing these datasets with geo-referenced housing records lets the government locate poor households not yet reached by any programme, a capability credited with a 4.2 percentage-point increase in the share of extreme-poor households reached by at least one social protection programme since SINIRUBE's introduction (Monge & Tejerina, 2023).
References
Direito, D. do C., Koga, N. M., Lício, E. C., & Chaves, J. C. de P. N. (2016). The Single Registry as a tool for the coordination of social policies (One Pager No. 327). International Policy Centre for Inclusive Growth (IPC-IG). https://ipcig.org/pub/eng/OP327_The_Single_Registry_as_a_tool_for_the_coordination_of_social_policies.pdf
Guven, M., Yeachuri, A., & Almenfi, M. (2025). Global insights on social registries: Coverage and beyond. World Bank. https://documents1.worldbank.org/curated/en/099071525165029379/pdf/P177331-a772f9c1-e340-4f76-aeb0-90fd4e7a3496.pdf
Li, X., Gao, Q., & Tang, J. (2022). Who are identified as poor in rural China's targeted poverty alleviation strategy? Applying the multidimensional capability approach. Journal of Chinese Political Science, 27, 221–246. https://doi.org/10.1007/s11366-021-09767-y
Liu, Y., Guo, Y., & Zhou, Y. (2018). Poverty alleviation in rural China: Policy changes, future challenges and policy implications. China Agricultural Economic Review, 10(2), 241–259. https://doi.org/10.1108/CAER-10-2017-0192
Ministério do Desenvolvimento e Assistência Social, Família e Combate à Fome (MDS). (2026a). VIS DATA 3: Famílias cadastradas no Cadastro Único – por faixa de renda per capita (a partir de mar/2023) [Data set]. Retrieved September 25, 2026, from https://aplicacoes.cidadania.gov.br/vis/data3/data-explorer.php
Ministério do Desenvolvimento e Assistência Social, Família e Combate à Fome (MDS). (2026b). VIS DATA 3: Programa Bolsa Família – número de famílias beneficiárias, valores totais repassados e valor médio do benefício [Data set]. Retrieved September 25, 2026, from https://aplicacoes.cidadania.gov.br/vis/data3/data-explorer.php
Monge, K. A., & Tejerina, L. (2023). SINIRUBE: The enabler of precision social policy in Costa Rica. Inter-American Development Bank. https://socialdigital.iadb.org/en/sph/resources/research-publications/19755
Pontuschka, R., Martins, H. F., & Oriol, E. de C. (2025). Equity and cash transfers in Brazil, Colombia, and Mexico: Brazil case study. American Institutes for Research. https://www.air.org/sites/default/files/2025-10/Equity-and-Cash-Transfers-in-Brazil-Colombia-Mexico-Brazil-Case-Study.pdf
The State Council Information Office of the People's Republic of China. (2021). Poverty alleviation: China's experience and contribution [White paper]. https://english.www.gov.cn/archive/whitepaper/202104/06/content_WS606bc77ec6d0719374afc1b9.html
World Bank & Development Research Center of the State Council, People's Republic of China. (2022). Four decades of poverty reduction in China: Drivers, insights for the world, and the way ahead. World Bank. https://thedocs.worldbank.org/en/doc/bdadc16a4f5c1c88a839c0f905cde802-0070012022/original/Poverty-Synthesis-Report-final.pdf
Zhu, J., Xiao, H., & Wu, B. (2022). From big data to higher bureaucratic capacity: Poverty alleviation in China. Public Administration. https://doi.org/10.1111/padm.12907
- The implementation of a social registry involves a decentralized and intersectoral management network. It is crucial to have enough financial and human resources to guarantee the quality of the data;
- Another challenge is to keep the data intelligence strategy to improve the quality of the data in the social registry. This is achieved through the interoperability between administrative databases;
- It is costly to maintain updated information in social registries, this is a limit and a risk because fiscal constraints may cause information to become outdated and for the registry to be discontinued. The lack of this tool could have negative effects much larger that the cost to maintain it;
- Social registries are limited by the availability of mature data analytics units in the institutions that house them thus wasting opportunities to make more of the investment;
- While it is rare to hear of social registries being hacked, cybersecurity in general in the region is weak, causing these systems to be at risk too;
- It is hard to collect evidence on the effectiveness of these systems. Being national systems that depend on other factors to change lives of poor households (the quality of the social programs attached to the social registry, for example) it is hard to design an evaluation with a good identification design.
SDG 10 - Reduced inequalities
- Target 10.2 - By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other status
- Universal Declaration of Human Rights
- Sustainable Development Goals
- International Pact of Economic, Social and Cultural Rights
- Convention nº 102 from ILO (minimum norms of social security)
- Recommendation nº 202 from ILO (social protection baselines)
- Convention on the Rights of the Child
- CFS Policy Recommendations on Social Protection for Food Security and Nutrition