Puerto Rico Humanitarian Data | Crisis Response Datasets

Puerto Rico - Agriculture and Rural Development

100+ Downloads

Time Period of the Dataset [?]: January 01, 1960-December 31, 2023 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Agriculture and Rural Development

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. For the 70 percent of the world's poor who live in rural areas, agriculture is the main source of income and employment. But depletion and degradation of land and water pose serious challenges to producing enough food and other agricultural products to sustain livelihoods here and meet the needs of urban populations. Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization.

CSV

Topline Indicators

World Bank Group

1000+ Downloads

Time Period of the Dataset [?]: January 01, 2011-December 31, 2023 ... More

This dataset updates: Every month

Data used to update country toplines in HDX. Contains data from World Bank's data portal.

CSV

Puerto Rico Buildings (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

500+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Buildings

OpenStreetMap contains roughly 1.5 million buildings in this region. Based on AI-mapped estimates, this is approximately 94% of the total buildings.The average age of data for this region is 3 years ( Last edited 6 days ago ) and 1% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['building'] IS NOT NULL Features may have these attributes: name name:en building building:levels building:materials addr:full addr:housenumber addr:street addr:city office source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Railways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

60+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Railways

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: name name:en railway ele operator:type layer addr:full addr:city source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Financial Services (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

20+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Financial Services

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: name name:en amenity operator network addr:full addr:city source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Populated Places (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

60+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') Features may have these attributes: name name:en place population is_in source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Health Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

90+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Health Facilities

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy') Features may have these attributes: name name:en amenity building healthcare healthcare:speciality operator:type capacity:persons addr:full addr:city source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Points of Interest (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

60+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Points of Interest

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL Features may have these attributes: name name:en amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Roads (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

400+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Roads

OpenStreetMap contains roughly 44.5 million km of roads in this region. Based on AI-mapped estimates, this is approximately 94 % of the total road length in the dataset region. The average age of data for the region is 3 years ( Last edited 6 days ago ) and 6% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Education Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

80+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Education Facilities

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university') Features may have these attributes: name name:en amenity building operator:type capacity:persons addr:full addr:city source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Airports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

40+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Airports

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site' Features may have these attributes: name name:en aeroway building emergency emergency:helipad operator:type capacity:persons addr:full addr:city source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Waterways (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

100+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Waterways

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay') Features may have these attributes: name name:en waterway covered width depth layer blockage tunnel natural water source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Puerto Rico Sea Ports (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

40+ Downloads

Time Period of the Dataset [?]: February 13, 2025-February 13, 2025 ... More

This dataset updates: Every month

This dataset is part of the data series [?]: HOTOSM - Sea Ports

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL Features may have these attributes: name name:en amenity building port operator:type addr:full addr:city source name:es This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Facebook Social Connectedness Index

Data for Good at Meta

31000+ Downloads

Time Period of the Dataset [?]: October 13, 2021-March 15, 2024 ... More

This dataset updates: As needed

We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.facebook.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.

Puerto Rico - Data on forcibly displaced populations and stateless persons

UNHCR - The UN Refugee Agency

200+ Downloads

Time Period of the Dataset [?]: January 01, 1994-June 30, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: UNHCR - Data on forcibly displaced populations and stateless persons

Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).

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Puerto Rico: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

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.

GeoTIFF

Puerto Rico (United States) - Requirements and Funding Data

OCHA Financial Tracking System (FTS)

1000+ Downloads

Time Period of the Dataset [?]: May 09, 2023-December 31, 2024 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

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Puerto Rico - Age and Sex Structures (2015-2030)

WorldPop

Time Period of the Dataset [?]: January 01, 2015-December 31, 2030 ... More

This dataset updates: Every year

Constrained estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Puerto Rico (USA), version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square. The difference between constrained and unconstrained you can read on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained File Descriptions: {iso} {gender} {age group} {year} {type} {resolution}.tif iso Three-letter country code gender m = male, f= female, t = both genders age group 00 = age group 0 to 12 months 01 = age group 1 to 4 years 05 = age group 5 to 9 years 90 = age 90 years and over year Year that the population represents type CN = Constrained , UC= Unconstrained resolution Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

GeoTIFF

Puerto Rico - Spatial Distribution of Population (2015-2030)

WorldPop

Time Period of the Dataset [?]: January 01, 2015-December 31, 2030 ... More

This dataset updates: Every year

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution. The difference between constrained and unconstrained you can read on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

GeoTIFF

Puerto Rico: Road Surface Data

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Time Period of the Dataset [?]: November 07, 2024-November 07, 2024 ... More

This dataset updates: Every six months

This dataset is part of the data series [?]: Heidelberg Institute for Geoinformation Technology - Road Surface Data

This dataset provides detailed information on road surfaces from OpenStreetMap (OSM) data, distinguishing between **paved** and **unpaved** surfaces across the region. This information is based on road surface prediction derived from hybrid deep learning approach. For more information on Methods, refer to the [paper](http://arxiv.org/abs/2410.19874) Roughly 0.0 million km of roads are mapped in OSM in this region. Based on AI-mapped estimates the share of paved and unpaved roads is approximately 0.0 and 0.0 (in million kms), corressponding to nan% and nan% respectively of the total road length in the dataset region. 0.0 million km or nan% of road surface information is missing in OSM. In order to fill this gap, Mapillary derived road surface dataset provides an additional 0.0 million km of information (corressponding to nan% of total missing information on road surface) It is intended for use in transportation planning, infrastructure analysis, climate emissions and geographic information system (GIS) applications. This dataset provides comprehensive information on road and urban area features, including location, surface quality, and classification metadata. This dataset includes attributes from OpenStreetMap (OSM) data, AI predictions for road surface, and urban classifications. AI features: pred_class: Model-predicted class for the road surface, with values "paved" or "unpaved." pred_label: Binary label associated with pred_class (0 = paved, 1 = unpaved). osm_surface_class: Classification of the surface type from OSM, categorized as "paved" or "unpaved." combined_surface_osm_priority: Surface classification combining pred_label and surface(OSM) while prioritizing the OSM surface tag, classified as "paved" or "unpaved." combined_surface_DL_priority: Surface classification combining pred_label and surface(OSM) while prioritizing DL prediction pred_label, classified as "paved" or "unpaved." n_of_predictions_used: Number of predictions used for the feature length estimation. predicted_length: Predicted length based on the DL model’s estimations, in meters. DL_mean_timestamp: Mean timestamp of the predictions used, for comparison. OSM features may have these attributes(Learn what tags mean here): name: Name of the feature, if available in OSM. name:en: Name of the feature in English, if available in OSM. name:* (in local language): Name of the feature in the local official language, where available. highway: Road classification based on OSM tags (e.g., residential, motorway, footway). surface: Description of the surface material of the road (e.g., asphalt, gravel, dirt). smoothness: Assessment of surface smoothness (e.g., excellent, good, intermediate, bad). width: Width of the road, where available. lanes: Number of lanes on the road. oneway: Indicates if the road is one-way (yes or no). bridge: Specifies if the feature is a bridge (yes or no). layer: Indicates the layer of the feature in cases where multiple features are stacked (e.g., bridges, tunnels). source: Source of the data, indicating the origin or authority of specific attributes. Urban classification features may have these attributes: continent: The continent where the data point is located (e.g., Europe, Asia). country_iso_a2: The ISO Alpha-2 code representing the country (e.g., "US" for the United States). urban: Binary indicator for urban areas based on the GHSU Urban Layer 2019. (0 = rural, 1 = urban) urban_area: Name of the urban area or city where the data point is located. osm_id: Unique identifier assigned by OpenStreetMap (OSM) to each feature. osm_type: Type of OSM element (e.g., node, way, relation). The data originates from OpenStreetMap (OSM) and is augmented with model predictions using images downloaded from Mapillary in combination with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS2020 urban layer. This dataset is one of many HeiGIT exports on HDX. See the HeiGIT website for more information. We are looking forward to hearing about your use-case! Feel free to reach out to us and tell us about your research at communications@heigit.org – we would be happy to amplify your work.

Puerto Rico - Education Indicators

UNESCO

300+ Downloads

Time Period of the Dataset [?]: January 01, 1970-December 31, 2023 ... More

This dataset updates: Every three months

This dataset is part of the data series [?]: UNESCO - Education Indicators

Education indicators for Puerto Rico. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2024 February), Other Policy Relevant Indicators (made 2024 February), Demographic and Socio-economic (made 2024 February)

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Satellite detected water extent in Saint Elizabeth Parish, Jamaica as of 07 July 2024

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: July 09, 2024-July 09, 2024 ... More

This dataset updates: Never

UNOSAT code: TC20240702JAM, GDACS ID: 1001067 This map illustrates satellite-detected water extent in Saint Elizabeth Parish as observed from a Sentinel-2 image acquired at 10:48 local time. Within the analysed area of about 1,200 km², a limited extent of 13 km² of lands appear to be affected with flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Satellite detected water extent in Kingston, Saint Catherine and Saint...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: July 05, 2024-July 05, 2024 ... More

This dataset updates: Never

UNOSAT code: TC20240702JAM, GDACS ID: 1001067 This map illustrates satellite-detected water extent in Kingston, Saint Catherine and Saint Andrew Parishes as observed from a TerraSAR-X image acquired at 06:03 local time. Within the analysed area of about 1,450 km², a limited extent of 5 km² of lands appear to be affected with flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Puerto Rico - Internal Displacements (New Displacements) – IDPs

Internal Displacement Monitoring Centre (IDMC)

100+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IDMC - Internally displaced persons

Internally displaced persons are defined according to the 1998 Guiding Principles as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year. "Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.

CSV

Puerto Rico: WOF Administrative Subdivisions and Human Settlements

Who's On First

Time Period of the Dataset [?]: August 18, 2015-July 29, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: WOF - Administrative Subdivisions and Human Settlements

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.

SHP