Puerto Rico Humanitarian Data | Crisis Response Datasets

Puerto Rico - Public Sector

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Effective governments improve people's standard of living by ensuring access to essential services – health, education, water and sanitation, electricity, transport – and the opportunity to live and work in peace and security. Data here includes World Bank staff assessments of country performance in economic management, structural policies, policies for social inclusion and equity, and public sector management and institutions for the poorest countries. Also included are indicators on revenues and expenses from the International Monetary Fund's Government Finance Statistics, and on tax policies from various sources.

200+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic and Social development

CSV

Puerto Rico - Private Sector

World Bank Group

Time Period of the Dataset [?]: January 01, 1995-December 31, 2020 ... More

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Private markets drive economic growth, tapping initiative and investment to create productive jobs and raise incomes. Trade is also a driver of economic growth as it integrates developing countries into the world economy and generates benefits for their people. Data on the private sector and trade are from the World Bank Group's Private Participation in Infrastructure Project Database, Enterprise Surveys, and Doing Business Indicators, as well as from the International Monetary Fund's Balance of Payments database and International Financial Statistics, the UN Commission on Trade and Development, the World Trade Organization, and various other sources.

100+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic and Social development

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Puerto Rico - Social Protection and Labor

World Bank Group

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. The supply of labor available in an economy includes people who are employed, those who are unemployed but seeking work, and first-time job-seekers. Not everyone who works is included: unpaid workers, family workers, and students are often omitted, while some countries do not count members of the armed forces. Data on labor and employment are compiled by the International Labour Organization (ILO) from labor force surveys, censuses, establishment censuses and surveys, and administrative records such as employment exchange registers and unemployment insurance schemes.

100+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Social Protection and Labor

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Puerto Rico - Infrastructure

World Bank Group

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Infrastructure helps determine the success of manufacturing and agricultural activities. Investments in water, sanitation, energy, housing, and transport also improve lives and help reduce poverty. And new information and communication technologies promote growth, improve delivery of health and other services, expand the reach of education, and support social and cultural advances. Data here are compiled from such sources as the International Road Federation, Containerisation International, the International Civil Aviation Organization, the International Energy Association, and the International Telecommunications Union.

200+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Infrastructure

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Puerto Rico - Health

World Bank Group

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources.

200+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Health

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Puerto Rico - Financial Sector

World Bank Group

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. An economy's financial markets are critical to its overall development. Banking systems and stock markets enhance growth, the main factor in poverty reduction. Strong financial systems provide reliable and accessible information that lowers transaction costs, which in turn bolsters resource allocation and economic growth. Indicators here include the size and liquidity of stock markets; the accessibility, stability, and efficiency of financial systems; and international migration and workers\ remittances, which affect growth and social welfare in both sending and receiving countries.

100+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic and Social development

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Puerto Rico - Environment

World Bank Group

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Natural and man-made environmental resources – fresh water, clean air, forests, grasslands, marine resources, and agro-ecosystems – provide sustenance and a foundation for social and economic development. The need to safeguard these resources crosses all borders. Today, the World Bank is one of the key promoters and financiers of environmental upgrading in the developing world. Data here cover forests, biodiversity, emissions, and pollution. Other indicators relevant to the environment are found under data pages for Agriculture & Rural Development, Energy & Mining, Infrastructure, and Urban Development.

100+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Environment

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Puerto Rico - Energy and Mining

World Bank Group

Time Period of the Dataset [?]: January 01, 1970-December 31, 2022 ... More

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. The world economy needs ever-increasing amounts of energy to sustain economic growth, raise living standards, and reduce poverty. But today's trends in energy use are not sustainable. As the world's population grows and economies become more industrialized, nonrenewable energy sources will become scarcer and more costly. Data here on energy production, use, dependency, and efficiency are compiled by the World Bank from the International Energy Agency and the Carbon Dioxide Information Analysis Center.

200+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Energy and Mining

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Puerto Rico - Education

World Bank Group

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.

200+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Education

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Puerto Rico - Economy and Growth

World Bank Group

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.

100+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Economic and Social development

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Puerto Rico - Aid Effectiveness

World Bank Group

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

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Aid effectiveness is the impact that aid has in reducing poverty and inequality, increasing growth, building capacity, and accelerating achievement of the Millennium Development Goals set by the international community. Indicators here cover aid received as well as progress in reducing poverty and improving education, health, and other measures of human welfare.

100+ Downloads

This dataset updates: Every month

This dataset is part of the data series [?]: World Bank - Aid Effectiveness

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Puerto Rico - Agriculture and Rural Development

World Bank Group

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

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.

100+ Downloads

This dataset updates: Every month

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

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Topline Indicators

World Bank Group

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

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

1100+ Downloads

This dataset updates: Every month

CSV

Movement Distribution

Data for Good at Meta

Time Period of the Dataset [?]: December 01, 2022-February 28, 2025 ... More

The Movement Distribution dataset shows the range of movement of people away from the area where they live on a daily basis. These maps are useful for projects focused on transportation, tourism, displacement, and other areas. More info available here: https://dataforgood.facebook.com/dfg/tools/movement-distribution-maps

5800+ Downloads

This dataset updates: Every month

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PDF

Facebook Social Connectedness Index

Data for Good at Meta

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

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.

34000+ Downloads

This dataset updates: As needed

Puerto Rico - Data on forcibly displaced populations and stateless persons

UNHCR - The UN Refugee Agency

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

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).

300+ Downloads

This dataset updates: Every year

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

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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

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.

This dataset updates: Every year

GeoTIFF

Puerto Rico (United States) - Requirements and Funding Data

OCHA Financial Tracking System (FTS)

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

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.

1000+ Downloads

This dataset updates: Every day

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

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

WorldPop

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

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

This dataset updates: Every year

This dataset is part of the data series [?]: WorldPop - Spatial Distribution of Population

GeoTIFF

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

WorldPop

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

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)

This dataset updates: Every year

This dataset is part of the data series [?]: WorldPop - Age and Sex Population Structures

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 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.

This dataset updates: Every six months

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

Puerto Rico - Education Indicators

UNESCO

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

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)

300+ Downloads

This dataset updates: Every three months

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

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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

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).

This dataset updates: Never

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

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.

This dataset updates: Never

Puerto Rico - Internal Displacements (New Displacements) – IDPs

Internal Displacement Monitoring Centre (IDMC)

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

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.

100+ Downloads

This dataset updates: Every year

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

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