177 Results

Structured Data

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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset presents data from the Mesoamerica Health Initiative in Panama, specifically focusing on the health facility survey.
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  • Dataset

    By IDB Lab (IDB Lab)
    FINLAC is a database of regulated financial institutions with information on financial performance and financial inclusion by financial institution. It covers 7 time periods, more than 50 variables and covers more than 2,000 financial institutions. It uses public information or information provided to the IDB for these purposes by financial authorities, and in some exceptional cases, by the institution itself.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset presents data from the Mesoamerica Health Initiative in Mexico, specifically focusing on the health facility survey.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset presents data from the Mesoamerica Health Initiative in Honduras, specifically focusing on the health facility survey.
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  • Dataset

    By Country Department Caribbean Group (VPC/CCB/CCB)
    In this study, we examine the regional income distribution in Peru from 1795 to 2017. To achieve this goal, we reconstructed long-term regional GDP and population series for Peru’s 24 departments. These series allowed us to analyze regional income inequality through dimensions such as inequality, modality, mobility, agglomeration, and convergence. The results indicate a persistent increase in regional inequality in Peru from the second half of the 19th century to the first half of the 20th century. The Gini coefficient, which measures regional inequality, shows a value of 0.2613 for 1795 and 0.3626 for 2017, with the highest value of 0.4283 recorded in 1934. The regional income distribution is bimodal, with no mobility between the extremes. For instance, the probability that a department poor in 1795 remains poor in 2017 is 94%, while the probability of a rich region remaining rich is 95%. However, significant mobility is observed among departments occupying the middle of the...
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