200 Results

Dataset

Filter Results
  • Dataset

    By Fiscal Management Division (VPS/IFD/FMM)
    The Equivalent Fiscal Pressure (EFP) for Latin America and the Caribbean for the period 1990-2018, calculated using the IDB-CIAT methodology, measures the total resources collected by the countries of the region. This includes mandatory contributions to private (actuarial) social security systems and non-tax revenues from natural resource exploitation activities. In 2018, the EFP reached 25.2% of GDP, an increase of 0.4% compared to 2017. The sustained increase is based on three fiscal pillars: the Value-Added Tax (VAT), the Income Tax System (ISR), and mandatory Social Security Contributions (SSC), both public and private. From 1990 to 2018, these pillars collectively grew as follows: VAT by 3.4 percentage points of GDP (87.0%), ISR by 2.7 points (77.5%), mandatory SSC by 1.6 points (59.5%), and non-tax revenue from natural resources by 0.7 points (317.5%). Over the most recent five-year period (2013-2018), EFP growth was limited to 1 percentage point of GDP, equivalent to a 4.1%...
    Show more
  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    This paper presents new data documenting the level and evolution of public spending on non-contributory programs for 16 countries in Latin America and the Caribbean. Salaried formal workers contribute to social security and in return have access to an array of benefits -mainly old-age pensions and health services. In recent decades, informal workers – salaried and non-salaried- have gained access to similar benefits, financed through general revenues. Our calculations indicate that, on average, the region spends 1.7% of GDP in these programs. Although they were created in response to social demands, by targeting informal workers these programs may create a behavioral response -i.e. more informality. This paper does not attempt to measure behavioral effects. Its main contribution is to be the first to document this “subsidy to informality” following a common methodology across countries and years in the region.
    Show more
  • Dataset

    By Housing and Urban Development Division (VPS/CSD/HUD)
    This report summarizes the housing and socioeconomic data collected through the Beneficiary Survey of the Neighborhood Improvement Programs conducted in 2014. The survey covered all households in the 11 neighborhoods of the Central District of Tegucigalpa, Honduras, where the first phase of the Urban Integration and Coexistence Program (PICU) - HO-L1088 is planned for implementation. The analysis of descriptive characteristics highlights the main public service needs of these communities, as well as the overall condition of the neighborhoods. Additionally, the socioeconomic characterization of the households provides insights into the health, education, sociability, and intra-family relationships of their members. This information helps design targeted social policies addressing these specific areas in the neighborhoods.
    Show more
  • Dataset

    By Climate Change Solutions Division (VPS/CSD/CCS)
    At the IDB Groups Annual Meeting in 2016, the Board of Governors endorsed the goal to increase finance of climate change-related projects in the Latin American and Caribbean region to 30% of the IDBs and IICs combined total approvals by 2020, subject to demand from borrowing member countries and clients, and access to external sources of concessional finance. During 2019, the IDB Group - composed of the IDB, IDB Lab (formerly the Multilateral Investment Fund) and IDB Invest - approved approximately US$5 billion in climate finance, that is, for development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. This amount represented 29% of the IDB Groups total approved amount for 2019.
    Show more
  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    This dataset provides information on labor demand and supply in the three metropolitan areas of Bolivia’s central axis. Labor demand data comes from two surveys conducted with companies in 2015 and 2016. Labor supply data comes from a census of university training centers (both professional and technical levels) and a survey of technical institutes.
    Show more