Data sources and methodology

A key component of the ASPIRE work is to identify social protection and labor benefits and services captured in household survey instruments. A deep understanding of the social protection system in the country is needed to identify and properly classify social protection benefits and schemes that are different in nature (contributory and non-contributory), in modality (cash, food, near-cash, subsidies) and targeting approach (universal, categorical, and targeted benefits).

Users are strongly encouraged to review the following documentation files when using the ASPIRE database to better understand which social protection programs are included.

To enable time-series analysis, ASPIRE uses different waves of the same national household survey within a country, with a few exceptions related to survey discontinuation and/or changes in survey design (Costa Rica, Djibouti, Liberia, Panama, The Philippines, Russian Federation, India, and The Gambia).