Haiti population data

This GeoTIFF file contains 12 bands presenting the school age population for Haiti in 2020. It was constructed using constrained UN-adjusted spatialized age and sex population estimates for 2020 by WorldPop, by applying the methodology published by IIEP-UNESCO (2021). The bands contain information for Female, Male, and Total, for Pre-primary, Primary, Lower Secondary, and Upper secondary, reconstructed from single years of age using ISCED information on starting age and duration included in UIS. The correspondence is included below: * Band 1: Pre-primary Female * Band 2: Pre-primary Male * Band 3: Pre-primary Total * Band 4: Primary Female * Band 5: Primary Male * Band 6: Primary Total * Band 7: Lower secondary Female * Band 8: Lower secondary Male * Band 9: Lower secondary Total * Band 10: Upper secondary Female * Band 11: Upper secondary Male * Band 12: Upper secondary Total The boundaries used for the clipping of the resulting calculations came from the United Nations Second Administrative Level Boundary program. Disclaimer: The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of UNESCO or IIEP concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. UNESCO or IIEP are not responsible for the use given to this information.

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Haiti was chosen as the pilot country for developing our population mapping methods, based on its high frequency of hurricanes and other natural disasters in the recent past. We found a clear correlation between built-up area density derived from interpretation of high- and medium-resolution satellite imagery and data from the 2003 national census. The resulting 100-meter gridded population map is the finest-scale demographic map of the country ever produced. It was made available to the public the day after the devastating earthquake of January 2010, and has been used extensively for disaster relief. The methods used in the Haiti project are described in a paper published in the International Journal of Remote Sensing.

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Haiti: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Summary of estimated population movement in Haiti as of 24 October 2016. The estimated distribution of people for whom their home Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 24 October had moved to another Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and on 24 October 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

Population Exposure Data Haiti

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Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT

A gridded raster of population distribution for Haiti, with cell values representing population counts. Published by WorldPop (University of Southampton), it covers the year 2030.

A gridded raster of population distribution for Haiti, with cell values representing population counts. It covers the year 2030 and is published by WorldPop (University of Southampton).