Geospatial Dataset Catalog
Kontur has a variety of geospatial datasets that cover both natural and human landscape.
Our Geocint data pipeline converts any type of data into hexagonal datasets — for you, this means we can quickly integrate the specific data you need for analysis or solutions, without delays.
Kontur datasets are represented by H3 hexagons with 400m resolution. The reason why we use H3 grid instead of the common square grid is that unlike squares, hexagons have equal distances between a hexagon centerpoint and the centers of neighboring cells. This property greatly simplifies performing analysis and smoothing over gradients.
You can leverage our datasets in the following ways
Geoplatform
For users who prefer a visual interface and interactive work with data, try Atlas.
API
For developers and companies integrating geodata into their systems.
Embedded Map
For companies that need to quickly embed geodata into webpages or internal systems.
File dump
For those who prefer to receive ready-to-use files (*.gpkg, *shp, *.geojson, *.csv, and others).
Internationally recognized and reliable sources

We have collected datasets from leading vendors, unified, hexagonalized and standardized them to offer you the most accurate, up-to-date and reliable solutions based on this data.
- © OpenStreetMap contributors https://www.openstreetmap.org/copyright
- © INFORM Initiative https://www.inform-index.org/
- Copyright 2024 Foursquare Labs, Inc. All rights reserved.“]
- © Kontur https://kontur.io/”, “Copernicus Global Land Service: Land Cover 100 m: Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, MyroslavaLesiv, Nandin – Erdene Tsendbazar, … Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) Data set. Zenodo. http://doi.org/10.5281/zenodo.3939050
- © 2021 Probable Futures, a Project of the SouthCoast Community Foundation. https://probablefutures.org/, CC BY 4.0
- Events data from Kontur Event Feed (https://www.kontur.io/portfolio/event-feed)“]
- © Kontur https://kontur.io/”, “© OpenStreetMap contributors https://www.openstreetmap.org/copyright
- © United States Census Bureau. 2019 5-Year American Community Survey (ACS). https://www.census.gov/en.html
- © Kontur Boundaries https://data.humdata.org/dataset/kontur-boundaries”, “© 2012-2024 Internal Displacement Monitoring Centre (IDMC)“]
- © Kontur https://kontur.io/”, “Facebook Connectivity Lab and Center for International Earth Science Information Network – CIESIN – Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. https://dataforgood.fb.com/tools/population-density-maps/”, “Dataset: Schiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2023A – GHS population grid multitemporal (1975-2030).European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE Concept & Methodology: Freire S., MacManus K., Pesaresi M., Doxsey-Whitfield E., Mills J. (2016) Development of new open and free multi-temporal global population grids at 250 m resolution. Geospatial Data in a Changing World; Association of Geographic Information Laboratories in Europe (AGILE), AGILE 2016”, “Copernicus Global Land Service: Land Cover 100 m: Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, MyroslavaLesiv, Nandin – Erdene Tsendbazar, … Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) Data set. Zenodo. http://doi.org/10.5281/zenodo.3939050”, “Microsoft Buildings: Australia, Canada, Tanzania, Uganda, USA: This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL).“, “NZ Building Outlines data sourced from the LINZ Data Service – https://data.linz.govt.nz/”, “Geoalert Urban Mapping: Chechnya, Moscow region, Tyva, Tashkent, Bukhara, Samarkand, Navoi, Chirchiq – https://github.com/Geoalert/urban-mapping”, “© OpenStreetMap contributors https://www.openstreetmap.org/copyright
- © Data from General Bathymatric Chart of the Oceans, www.gebco.net
- Copyright © 2022 WorldClim https://www.worldclim.org/data/index.html
- Dataset: Schiavina, M., Melchiorri, M., Pesaresi, M., Politis, P., Carneiro Freire, S.M., Maffenini, L., Florio, P., Ehrlich, D., Goch, K., Carioli, A., Uhl, J., Tommasi, P. and Kemper, T., GHSL Data Package 2023, Publications Office of the European Union, Luxembourg, 2023, ISBN 978-92-68-02341-9 (online), doi:10.2760/098587 (online), JRC133256.“]
- High Resolution Canopy Height Maps by WRI and Meta was accessed on 20.05.2024 from https://registry.opendata.aws/dataforgood-fb-forests. Meta and World Resources Institude (WRI) – 2024. High Resolution Canopy Height Maps (CHM). Source imagery for CHM © 2016 Maxar. Accessed 20 may 2024.“]
- This dataset use material from the Wikipedia article https://en.wikipedia.org/wiki/Naturalization, which is released under the https://en.wikipedia.org/wiki/Wikipedia:Text_of_the_Creative_Commons_Attribution-ShareAlike_4.0_International_License.“]
- © Kontur https://kontur.io”, “All imagery is publicly licensed and made available through the Humanitarian OpenStreetMap Team’s Open Imagery Network (OIN) Node. All imagery contained in OIN is licensed CC-BY 4.0, with attribution as contributors of Open Imagery Network. All imagery is available to be traced in OpenStreetMap. © OpenAerialMap
- © 2024 The World Bank Group, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
- © 2024 United Nations Development Programme https://hdr.undp.org/data-center/human-development-index
- © Data from JHU CSSE COVID-19 Dataset
- © Data from Sentinel-2 L2A 120m Mosaic, CC-BY 4.0, https://forum.sentinel-hub.com/c/aws-sentinel
- © NRT VIIRS 375 m Active Fire product VJ114IMGTDL_NRT. Available on-line [https://earthdata.nasa.gov/firms]. doi: 10.5067/FIRMS/VIIRS/VJ114IMGT_NRT.002”, “NRT VIIRS 375 m Active Fire product VNP14IMGT. Available on-line [https://earthdata.nasa.gov/firms]. doi:10.5067/FIRMS/VIIRS/VNP14IMGT_NRT.002″, “MODIS Collection 6 NRT Hotspot / Active Fire Detections MCD14DL. Available on-line [https://earthdata.nasa.gov/firms]. doi: 10.5067/FIRMS/MODIS/MCD14DL.NRT.006”, “MODIS Collection 6 NRT Hotspot / Active Fire Detections MCD14ML. Available on-line [https://earthdata.nasa.gov/firms]. doi: 10.5067/FIRMS/MODIS/MCD14ML
- Copyright © OpenStreetMap contributors https://www.openstreetmap.org/copyright”, “© 2020 The World Bank Group, CC-BY 4.0″]
- © The Institute for Economics and Peace Limited 2022 https://www.visionofhumanity.org/
- ©2019 Facebook, Inc. and its affiliates https://github.com/facebookmicrosites/Open-Mapping-At-Facebook/blob/main/LICENSE.md”, “© OpenStreetMap contributors https://www.openstreetmap.org/copyright”, “© Kontur https://kontur.io/
- ©9999 Facebook, Inc. and its affiliates https://dataforgood.facebook.com/dfg/tools/electrical-distribution-grid-maps
- Concept of areas © Brahmagupta, René Descartes
- Copyright © 2022 MapSwipe https://mapswipe.org/en/privacy.html
- Copyright © 2022 The World Bank https://globalsolaratlas.info/support/terms-of-use
- Dataset: Schiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2023A – GHS population grid multitemporal (1975-2030).European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE Concept & Methodology: Freire S., MacManus K., Pesaresi M., Doxsey-Whitfield E., Mills J. (2016) Development of new open and free multi-temporal global population grids at 250 m resolution. Geospatial Data in a Changing World; Association of Geographic Information Laboratories in Europe (AGILE), AGILE 2016
- Earth Observation Group © 2021. https://eogdata.mines.edu/products/vnl/#reference”, “C. D. Elvidge, K. E. Baugh, M. Zhizhin, and F.-C. Hsu, “Why VIIRS data are superior to DMSP for mapping nighttime lights,” Asia-Pacific Advanced Network 35, vol. 35, p. 62, 2013.“, “C. D. Elvidge, M. Zhizhin, T. Ghosh, F-C. Hsu, \“Annual time series of global VIIRS nighttime lights derived from monthly averages: 2012 to 2019\“, Remote Sensing (In press)“]
- Ha, Jongrim, M. Ayhan Kose, and Franziska Ohnsorge (2023). One-Stop Source: A Global Database of Inflation. Journal of International Money and Finance 137 (October): 102896
- © Kontur https://kontur.io/
- © Kontur https://kontur.io/”, “© 2019 The World Bank Group, CC-BY 4.0″, “Facebook Connectivity Lab and Center for International Earth Science Information Network – CIESIN – Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. https://dataforgood.fb.com/tools/population-density-maps/”, “Dataset: Schiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2023A – GHS population grid multitemporal (1975-2030).European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE Concept & Methodology: Freire S., MacManus K., Pesaresi M., Doxsey-Whitfield E., Mills J. (2016) Development of new open and free multi-temporal global population grids at 250 m resolution. Geospatial Data in a Changing World; Association of Geographic Information Laboratories in Europe (AGILE), AGILE 2016″, “Copernicus Global Land Service: Land Cover 100m: Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, Myroslava Lesiv, Nandin-Erdene Tsendbazar, … Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) Data set. Zenodo. http://doi.org/10.5281/zenodo.3939050”, “Microsoft Buildings: Canada, Tanzania, Uganda, USA: This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL).“, “@ OpenStreetMap contributors https://www.openstreetmap.org/copyright
- © Kontur https://kontur.io/”, “Copernicus Global Land Service: Land Cover 100 m: Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, MyroslavaLesiv, Nandin – Erdene Tsendbazar, … Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) Data set. Zenodo. http://doi.org/10.5281/zenodo.3939050”, “Geoalert Urban Mapping: Chechnya, Moscow region, Tyva, Tashkent, Bukhara, Samarkand, Navoi, Chirchiq – https://github.com/Geoalert/urban-mapping”, “Microsoft Buildings: Australia, Canada, Tanzania, Uganda, USA: This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL).“, “NZ Building Outlines data sourced from the LINZ Data Service – https://data.linz.govt.nz/”, “© OpenStreetMap contributors https://www.openstreetmap.org/copyright
- Copyright © Kontur https://kontur.io/”, “© OpenStreetMap contributors https://www.openstreetmap.org/copyright”, “Copyright © 2022 WorldClim https://www.worldclim.org/data/index.html”, “Copyright © 2022 The World Bank https://globalsolaratlas.info/support/terms-of-use
- Copyright © Kontur https://kontur.io/”, “© OpenStreetMap contributors https://www.openstreetmap.org/copyright
- © Kontur”, “© OpenStreetMap contributors https://www.openstreetmap.org/copyright
List of Ready-to-Use Datasets
👥 Demographics
Kontur population density
Coverage: Global
Update: Daily
Self-developed accurate population dataset. Enables site selection analysis, smart city solutions, and disaster management by providing global population density information. Read full article
For business
If you require custom processing or a higher-resolution version of this dataset.
For GIS developers
You can use this dataset mapped to 400m H3 hexagons for free to elevate your projects.
For non-developers
Subscribe to Atlas to access to this and many other layers using our platform without your own development.
You can also use datasets separately for different countries, for example: United States, United Kingdom, Canada, India, Australia
Densely populated area proximity
Coverage: Global
Update: Daily
Distance to closest Kontur Population cell with population > 80 ppl
Percentage of permanent population
Coverage: US
Update: Static
Estimation of residential population percentage according to GHS-POP dataset (2015)
US population under 5
Coverage: US
Update: Static
Number of children (ages 0-5) in the United States.
US population over 65
Coverage: US
Update: Static
Number of elderly people (ages 65+) in the United States.
US families below poverty line
Coverage: US
Update: Static
Number of households living below the poverty line in the United States.
US population with limited English proficiency
Coverage: US
Update: Static
Number of people who have difficulty speaking English in the United States.
US population without a car
Coverage: US
Update: Static
Number of working people without a car in the United States.
US population with disabilities
Coverage: US
Update: Static
Number of people with disabilities in the United States based on the U.S. Census Bureaus American Community Survey (ACS).
Populated area
Coverage: Global
Update: Daily
Populated area according to the actual release of Kontur Population dataset.
Nighttime lights intensity
Coverage: Global
Update: Static
Remote sensing of nighttime light emissions offers a unique perspective for investigations into human behaviors. The Visible Infrared Imaging Radiometer Suite (VIIRS) instruments aboard the Suomi NPP and NOAA-20 satellites provide global daily measurements of nighttime light.
🏞️ Amenity
Art venues
Coverage: Global
Update: Daily
Number of art venues in OpenStreetMap.
Cultural and community centers
Coverage: Global
Update: Daily
Number of cultural and community centers in OpenStreetMap.
Entertainment venues
Coverage: Global
Update: Daily
Number of entertainment venues OpenStreetMap.
Heritage sites
Coverage: Global
Update: Daily
Number of heritage sites in OpenStreetMap.
Historical sites and museums
Coverage: Global
Update: Daily
Number of historical sites and museums in OpenStreetMap.
Heritage protection level
Coverage: Global
Update: Daily
The most significant recognized administrative level of heritage protection within each hex cell. For instance, a lower numeric value might correspond to an internationally recognized (e.g., UNESCO) site, while higher values may indicate national, regional, or local protections.
Arts and entertainment
Coverage: Global
Update: Static
Number of arts and entertainment POIs in Foursquare’s Open Source Places.
Events
Coverage: Global
Update: Static
Number of events POIs in Foursquare’s Open Source Places.
Landmarks and outdoors
Coverage: Global
Update: Static
Number of landmarks and outdoor POIs in Foursquare’s Open Source Places.
Sports and recreation
Coverage: Global
Update: Static
Number of sports and recreation POIs in Foursquare’s Open Source Places.
Travel and transportation
Coverage: Global
Update: Static
Number of travel and transportation POIs in Foursquare’s Open Source Places.
ATMs
Coverage: Global
Update: Daily
Number of ATMs in OpenStreetMap.
Banks
Coverage: Global
Update: Daily
Number of banks in OpenStreetMap.
🏢 Buildings
Buildings
Coverage: Global
Update: Daily
Estimated number of buildings in a given area based on various data sources.
Building levels average
Coverage: Global
Update: Daily
Average levels of buildings in a given area according to OpenStreetMap.
Entertainment building levels maximum
Coverage: Global
Update: Daily
Maximal level of buildings in a given area according to OpenStreetMap.
OSM buildings
Coverage: Global
Update: Daily
Total number of buildings in a given area according to OpenStreetMap.
Building height average
Coverage: Global
Update: Static
GHS Average of the Net Building Height (ANBH). Values are expressed as decimals (Float) reporting about the average height of the built surfaces.
Building height maximum venues
Coverage: Global
Update: Static
GHS Average of the Net Building Height (ANBH). Values are expressed as decimals (Float) reporting about the average height of the built surfaces.
💼 Business Activity
OSM Industrial area
Coverage: Global
Update: Daily
Areas of land used for industrial purposes in OpenStreetMap, which may include facilities such as workshops, factories and warehouses, and their associated infrastructure (car parks, service roads, yards, etc.). Data may be incomplete.
Business services
Coverage: Global
Update: Static
Number of business and professional services POIs in Foursquare’s Open Source Places.
Retail
Coverage: Global
Update: Static
Number of retail POIs in Foursquare’s Open Source Places.
☀️ Climate
Days above 32°C (+2°C scenario)
Coverage: Global
Update: Static
Number of days per year with a daily maximum temperature exceeding 32°C (90°F) at the “potential” climate warming scenario of +2.0°C. On the current path of emissions, in the 2040s the average surface temperature will likely pass 2.0°C above the pre-industrial 1850-1900 average (a standard baseline time period in climate science).
The displayed values are from a range of simulated years from multiple models. Actual outcomes may prove to be higher or lower than the displayed values.
Days above 32°C (+1°C scenario)
Coverage: Global
Update: Static
Number of days per year with a daily maximum temperature exceeding 32°C (90°F) at the “recent” climate warming scenario of +1.0°C. In 2017 the average surface temperature passed 1.0°C above the pre-industrial 1850-1900 average (a standard baseline time period in climate science).
Days above 32°C wet-bulb (+2°C scenario)
Coverage: Global
Update: Static
Number of days per year with a daily maximum wet-bulb temperature exceeding 32°C (90°F) at the “”potential”” climate warming scenario of +2.0°C. On the current path of emissions, in the 2040s the average surface temperature will likely pass 2.0°C above the pre-industrial 1850-1900 average (a standard baseline time period in climate science). Wet-bulb temperature is calculated using temperature and humidity. High wet-bulb temperatures can impair the human body’s ability to self-cool through sweating. 32°C or 90°F wet-bulb can occur at 32°C (90°F) air temperature and 99% relative humidity, or 40°C (104°F) and 55% humidity.For each warming scenario, the number of days exceeding 32°C (90°F) wet-bulb are identified from daily maximum wet-bulb temperatures computed using daily maximum temperature and daily minimum relative humidity, variables that are projected by climate models. The displayed values are from a range of simulated years from multiple models. Actual outcomes may prove to be higher or lower than the displayed values.
Days above 32°C wet-bulb (+1°C scenario)
Coverage: Global
Update: Static
Number of days per year with a daily maximum wet-bulb temperature exceeding 32°C (90°F) at the “”recent”” climate warming scenario of +1.0°C. In 2017 the average surface temperature passed 1.0°C above the pre-industrial 1850-1900 average (a standard baseline time period in climate science). Wet-bulb temperature is calculated using temperature and humidity. High wet-bulb temperatures can impair the human body’s ability to self-cool through sweating. 32°C or 90°F wet-bulb can occur at 32°C (90°F) air temperature and 99% relative humidity, or 40°C (104°F) and 55% humidity. For each warming scenario, the number of days exceeding 32°C (90°F) wet-bulb are identified from daily maximum wet-bulb temperatures computed using daily maximum temperature and daily minimum relative humidity, variables that are projected by climate models. The displayed values are from a range of simulated years from multiple models. Actual outcomes may prove to be higher or lower than the displayed values.
Nights above 25°C (+2°C scenario)
Coverage: Global
Update: Static
Number of days per year with a daily minimum temperature exceeding 25°C (77°F) at the “potential” climate warming scenario of +2.0°C. On the current path of emissions, in the 2040s the average surface temperature will likely pass 2.0°C above the pre-industrial 1850-1900 average (a standard baseline time period in climate science). The lowest temperature during the day happens at night when temperatures dip after sunset. The human experience of a “hot” night is relative to location, so a threshold of 20°C is often used for higher latitudes (Europe and the US) and a threshold of 25°C is often used for tropical and equatorial regions. The displayed values are from a range of simulated years from multiple models. Actual outcomes may prove to be higher or lower than the displayed values.
Nights above 25°C (+1°C scenario)
Coverage: Global
Update: Static
Number of days per year with a daily minimum temperature exceeding 25°C (77°F) at the “”recent”” climate warming scenario of +1.0°C. In 2017 the average surface temperature passed 1.0°C above the pre-industrial 1850-1900 average (a standard baseline time period in climate science). The lowest temperature during the day happens at night when temperatures dip after sunset. The human experience of a “hot” night is relative to location, so a threshold of 20°C is often used for higher latitudes (Europe and the US) and a threshold of 25°C is often used for tropical and equatorial regions.
Thermal anomaly exposure
Coverage: Global
Update: Daily
Number of days per year when a thermal anomaly was recorded in the last 13 months.
Global horizontal irradiance
Coverage: Global
Update: Static
Total amount of shortwave terrestrial irradiance received by a surface horizontal to the ground.
Air temperature monthly amplitude
Coverage: Global
Update: Static
Monthly amplitude of air temperatures according to WorldClim data for the years 1970-2000.
Air temperature average
Coverage: Global
Update: Static
Monthly average air temperature according to WorldClim data for the years 1970-2000.
Air temperature maximum
Coverage: Global
Update: Static
Monthly maximum air temperature according to WorldClim data for the years 1970-2000.
Air temperature minimum
Coverage: Global
Update: Static
Monthly minimum air temperature according to WorldClim data for the years 1970-2000.
🚨 Disasters | Emergency
INFORM risk index
Coverage: Global
Update: Annual
Composite index assessing humanitarian risk based on hazards, vulnerability, and coping capacity on a scale of 0 to 10.
Projected conflict probability
Coverage: Global
Update: Annual
Estimate of likelihood of future conflict impacting the population on a scale of 0 to 10.
Earthquake hazard
Coverage: Global
Update: Annual
Exposure of a region to seismic risks due to earthquakes on a scale of 0 to 10.
Disaster risk reduction
Coverage: Global
Update: Annual
Extent of disaster risk reduction initiatives improving resilience on a scale of 0 to 10.
Vulnerable groups
Coverage: Global
Update: Annual
Extent of vulnerability among specific population groups on a scale of 0 to 10..
Vulnerability
Coverage: Global
Update: Annual
Indicator measuring susceptibility of populations to suffer from adverse impacts on a scale of 0 to 10.
Institutional capacity
Coverage: Global
Update: Annual
Institutional resilience and governance affecting disaster response on a scale of 0 to 10.
Hazard & exposure
Coverage: Global
Update: Annual
Level of exposure to natural or human-made hazards affecting a population on a scale of 0 to 10.
Drought hazard
Coverage: Global
Update: Annual
Likelihood of population exposure to severe water scarcity on a scale of 0 to 10.
Lack of coping capacity
Coverage: Global
Update: Annual
Measure of a population’s limited ability to recover from shocks normalised into range from 0 to 10.
Current conflict intensity
Coverage: Global
Update: Annual
Measure of ongoing conflict severity affecting local populations on a scale of 0 to 10.
Other vulnerable groups
Coverage: Global
Update: Annual
Measure of other groups within a population with heightened vulnerability on a scale of 0 to 10.
Human hazard
Coverage: Global
Update: Annual
Population exposure to risks caused by human activity, such as conflict on a scale of 0 to 10.
Tropical cyclone hazard
Coverage: Global
Update: Annual
Population exposure to tropical cyclones, hurricanes, and typhoons on a scale of 0 to 10.
Tsunami hazard
Coverage: Global
Update: Annual
Population exposure to tsunami hazards in coastal regions on a scale of 0 to 10.
Recent shocks
Coverage: Global
Update: Annual
Recent shocks subcomponent accounts for increased vulnerability during the recovery period after a disaster and considers people affected by natural disasters in the past 3 years on a scale of 0 to 10.
Coastal flood hazard
Coverage: Global
Update: Annual
Risk of flooding in coastal areas affecting population and infrastructure on a scale of 0 to 10.
Food security
Coverage: Global
Update: Annual
Risk of food insecurity impacting vulnerable populations on a scale of 0 to 10.
Epidemic hazard
Coverage: Global
Update: Annual
Risk of population exposure to outbreaks of disease on a scale of 0 to 10.
Development & deprivation
Coverage: Global
Update: Annual
Socioeconomic disadvantage impacting resilience and coping abilities on a scale of 0 to 10.
Natural hazard
Coverage: Global
Update: Annual
The metric for the natural hazard risk used in INFORM is the annual average exposed population (AAEP) or, when hazard maps for different return periods are not available, annual exposed population (AEP). Measure of a population’s exposure to natural hazards, including geophysical and meteorological risks on a scale of 0 to 10.
River flood hazard
Coverage: Global
Update: Annual
The River flood hazard reflects the probability of physical impact associated with river flooding events on a scale of 0 to 10.
Conflict stock displacement
Coverage: Global
Update: Static
Percent of total population of IDPs (rounded figures at the national level), as a result of conflicts and violence as of the end of the reporting year.
Disaster stock displacement
Coverage: Global
Update: Static
Percent of total population of IDPs (rounded figures at the national level), as a result of disasters as of the end of the reporting year.
Conflict internal displacements
Coverage: Global
Update: Static
Percent of total population of internal displacements reported (rounded figures at national level), as a result of conflict and violence over the 2023.
Volcanoes
Coverage: Global
Update: Daily
Number of volcanoes in a given area.
Earthquake hazard
Coverage: Global
Update: Daily
Exposure of a region to seismic risks due to earthquakes on a scale of 0 to 10.
Conflict internal displacements
Coverage: Global
Update: Static
Percent of total population of internal displacements reported (rounded figures at national level), as a result of conflict and violence over the 2023.
Volcanoes
Coverage: Global
Update: Daily
Number of volcanoes in a given area.
Cyclone exposure
Coverage: Global
Update: Daily
Number of days in the last year when severe and extreme cyclones were recorded.
All disaster types exposure
Coverage: Global
Update: Daily
Number of days in the last year when severe and extreme disasters of any types were recorded.
Drought exposure
Coverage: Global
Update: Daily
Number of days in the last year when severe and extreme droughts were recorded.
Earthquake exposure
Coverage: Global
Update: Daily
Number of days in the last year when severe and extreme earthquakes were recorded.
Flood exposure
Coverage: Global
Update: Daily
Number of days in the last year when severe and extreme floods were recorded.
Volcano exposure
Coverage: Global
Update: Daily
Number of days in the last year when severe and extreme volcanos were recorded.
Wildfire exposure
Coverage: Global
Update: Daily
Number of days in the last year when severe and extreme wildfires were recorded.
Communication capacity
Coverage: Global
Update: Annual
Ability to disseminate information during crises affecting resilience on a scale of 0 to 10.
📊 Economical Data
Total tax and contribution rate
Coverage: Global
Update: Static
Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxes or goods and service taxes) are excluded.
Socio-economic vulnerability
Coveragd: Global
Update: Annual
Level of social and economic disadvantage increasing exposure to risks on a scale of 0 to 10.
Economic dependency
Coverage: Global
Update: Annual
Measure of a region’s dependency on external economic factors, impacting resilience on a scale of 0 to 10.
Inequality
Coverage: Global
Update: Annual
Mesure of susceptibility of populations to suffer from inequality impacts on a scale of 0 to 10.
Gross domestic product
Coverage: Global
Update: Daily
A country GDP (Gross Domestic Product) per capita multiplied by the population in a given area. For areas covering multiple countries, a sum of their respective GDP portions is used. GDP is the standard measure of the value created through the production of goods and services in a country during a certain period.
ATMs
Coverage: Global
Update: Daily
Number of ATMs in OpenStreetMap.
Banks
Coverage: Global
Update: Daily
Number of banks in OpenStreetMap.
Price inflation rate
Coverage: Global
Update: Static
Inflation, measured by the Consumer Price Index (CPI), is the annual change in prices of a typical basket of goods and services purchased by households. Data are drawn from multiple databases: OECD.Stat, the IMF World Economic Outlook database and International Financial Statistics, ILOSTAT, UNdata and country-specific sources including central banks and statistical offices.
🎓 Education
Colleges and Affiliates
Coverage: Global
Update: Daily
Number of colleges and affiliates in OpenStreetMap.
Higher education institutions and affiliates
Coverage: Global
Update: Daily
Number of higher education institutions and affiliates in OpenStreetMap.
Kindergartens
Coverage: Global
Update: Daily
Number of kindergartens in OpenStreetMap.
Schools
Coverage: Global
Update: Daily
Number of schools in OpenStreetMap.
⚡ Energy
Power substations proximity
Coverage: Global
Update: Daily
Distance to closest power substation.
Solar power plants
Coverage: Global
Update: Daily
Total number of solar power plants in a given area according to OpenStreetMap.
Powerlines proximity
Coverage: Global
Update: Static
Distance to closest powerline.
Medium-voltage powerlines distribution (predictive)
Coverage: Global
Update: Static
Facebook has produced a model to help map global medium voltage (MV) grid infrastructure, i.e. the distribution lines which connect high-voltage transmission infrastructure to consumer-serving low-voltage distribution. The data found here are model outputs for six select African countries: Malawi, Nigeria, Uganda, DRC, Cote D’Ivoire, and Zambia. The grid maps are produced using a new methodology that employs various publicly-available datasets (night time satellite imagery, roads, political boundaries, etc) to predict the location of existing MV grid infrastructure.
Suitability estimation for solar farms placement
Coverage: Global
Update: Daily
Multi-criteria analysis based layer dedicated to estimation of suitability of solar farms placement. 0 means absolutely unsuitable, 1 means perfectly suitable. Analysis is based on solar irradiace, powerlines grid proximity, power substations proximity, elevation slope, minimal and maximal temperatures, populated areas proximity.
Nighttime lights intensity
Coverage: Global
Update: Static
Remote sensing of nighttime light emissions offers a unique perspective for investigations into human behaviors. The Visible Infrared Imaging Radiometer Suite (VIIRS) instruments aboard the Suomi NPP and NOAA-20 satellites provide global daily measurements of nighttime light.
🍽️ Food and Drink
Eatery places
Coverage: Global
Update: Daily
Number of places where you can buy and eat food (such as restaurants, cafés, fast-food outlets, etc.) in a given area.
Food shops
Coverage: Global
Update: Daily
Number of places where you can buy fresh or packaged food products in a given area.
Coffee shops
Coverage: Global
Update: Static
Number of coffee shops POIs in Foursquare’s Open Source Places.
Dining and drinking
Coverage: Global
Update: Static
Number of dining and drinking POIs in Foursquare’s Open Source Places.
Kebab restaurants
Coverage: Global
Update: Static
Number of kebab restaurants POIs in Foursquare’s Open Source Places.
📍 Foursquare
Foursquare open source places
Coverage: Global
Update: Static
Total count of POIs in Foursquare’s Open Source Places.
🏛️ Government
Human development index
Coverage: Global
Update: Static
The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and having a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The health dimension is assessed by life expectancy at birth, the education dimension is measured by mean of years of schooling for adults aged 25 years and more and expected years of schooling for children of school entering age. The standard of living dimension is measured by gross national income per capita. The HDI uses the logarithm of income, to reflect the diminishing importance of income with increasing GNI. The scores for the three HDI dimension indices are then aggregated into a composite index using geometric mean. The entire series of Human Development Index (HDI) values and rankings are recalculated every year using the same the most recent (revised) data and functional forms. The HDI rankings and values in the 2014 Human Development Report cannot therefore be compared directly to indices published in previous Reports. Please see hdr.undp.org for more information. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities.
Government stability
Coverage: Global
Update: Annual
Level of governance stability affecting overall risk levels on a scale of 0 to 10. The subjectivity of HFA Scores is counterweighted by arithmetical average with external indicators of Governance component, i.e. the Government Effectiveness and Corruption Perception Index. The Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government’s commitment to such policies while the Corruption Perception Index adds another perspective, that is the level of misuse of political power for privatebenefit, which is not directly considered in the construction of the Government Effectiveness even though interrelated.
Safety (Global Peace Index 2022)
Coverage: Global
Update: Static
Number of coffee shops POIs in The Global Peace Index covers 99.7% of the world’s population, and is calculated using 23 qualitative and quantitative indicators from highly respected sources, and measures the state of peace across three domains: the level of Societal Safety and Security, the extent of Ongoing Domestic and International Conflict, and the degree of Militarisation. In the original data, the highest values corresponded to the least secure locations. The values were reversed so that the highest values logically corresponded to the safest locations. Open Source Places.
Community and government
Coverage: Global
Update: Static
Number of community and government POIs in Foursquare’s Open Source Places.
Dual/Multiple citizenship allowed
Coverage: Global
Update: Static
Possibility to have dual (multiple) citizenship: 1 – no, 2 – with restrictions regulated by local legislation, 3 – dual (multiple) citizenship is allowed.
Food security (Global Peace Index 2022)
Coverage: Global
Update: Annual
Risk of food insecurity impacting vulnerable populations on a scale of 0 to 10.
Legal residence duration required for naturalization
Coverage: Global
Update: Static
The duration of legal residence before a national of a foreign state, without any cultural, historical, or marriage ties or connections to the state in question, can request citizenship under that states naturalization laws.
🏥 Healthcare
COVID-19 confirmed сases
Coverage: Global
Update: Daily
Number of COVID-19 confirmed cases for the entire observation period according to the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU).
Access to health care
Coverage: Global
Update: Annual
Availability and quality of healthcare services on a scale of 0 to 10.
Health conditions
Coverage: Global
Update: Annual
Health condition subcomponent refers to people in a weak health conditions. It is calculated as the arithmetic average of the indicators for three deadly infectious diseases, AIDS, tuberculosis and malaria, which are considered as pandemics of low- and middle-income countries and then normalised into range from 0 to 10.
Community and government
Coverage: Global
Update: Daily
Number of defibrillators in OpenStreetMap.
Pharmacies
Coverage: Global
Update: Daily
Number of pharmacy in OpenStreetMap.
Health and medicine
Coverage: Global
Update: Static
Number of health and medicine POIs in Foursquare’s Open Source Places.
US population with disabilities
Coverage: Global
Update: Static
Number of people with disabilities in the United States based on the U.S. Census Bureaus American Community Survey (ACS). This page describes how disability is defined and collected in the ACS: https://www.census.gov/topics/health/disability/guidance/data-collection-acs.html
🏗️ Infrastructure
Infrastructure resilience
Coverage: Global
Update: Annual
Condition and resilience of essential infrastructure in a region on a scale of 0 to 10.
Physical infrastructure
Coverage: Global
Update: Annual
Physical infrastructure component is the arithmetic average of different proxy measures. Inform mainly try to assess the accessibility as well as the redundancy of the lifeline systems, which are crucial in a crisis situation, i.e. roads, water and sanitation systems on a scale of 0 to 10.
Waste containers
Coverage: Global
Update: Daily
Number of waste containers in a given area.
Hotel stars rating average
Coverage: Global
Update: Daily
Average hotel level assesment from OSM.
Hotel stars rating maximum
Coverage: Global
Update: Daily
Max hotel level assesment from OSM.
Hotels
Coverage: Global
Update: Daily
Number of hotels in OpenStreetMap.
🌿 Landcover and Landuse
NDVI
Coverage: Global
Update: Static
Average values of Normalized Difference Vegetation Index (NDVI), as of June 2019. Negative values of NDVI (values approaching -1) correspond to water. Values close to zero (-0.1 to 0.1) generally correspond to barren areas of rock, sand, or snow. Low, positive values represent shrub and grassland (approximately 0.2 to 0.4), while high values indicate temperate and tropical rainforests (values approaching 1).
Forest landcover
Coverage: Global
Update: Static
Area covered by forest – where tree canopy is more than 15%.
Evergreen needleleaf forest landcover
Coverage: Global
Update: Static
Risk of food insecurity impacting vulnerable populations on a scale of 0 to 10.
Unknown forest type landcover
Coverage: Global
Update: Static
Area covered by forest that does not match defined forest types.
Herbaceous vegetation landcover
Coverage: Global
Update: Static
Area covered by herbaceous plants. These plants have no persistent woody stems above ground and lack definite firm structure. Tree and shrub cover is less than 10%.
Landcover bare vegetation
Coverage: Global
Update: Static
Bare or sparse vegetation. Lands with exposed soil, sand, or rocks and never has more than 10 % vegetated cover during any time of the year.
Cropland landcover
Coverage: Global
Update: Static
Cropland, Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type.
Landcover builtup
Coverage: Global
Update: Static
Land covered by buildings and other man-made structures.
Landcover moss and lichen
Coverage: Global
Update: Static
Land with moss and lichen coverage.
Permanent water landcover
Coverage: Global
Update: Static
Permanent water bodies. Lakes, reservoirs, and rivers. Can be either fresh or salt-water bodies.
Shrubland landcover
Coverage: Global
Update: Static
Shrubland, or area where vegetation is dominated by woody perennial plants generally less than 5 meters in height, with persistent and woody stems and without any defined main stem. The shrub foliage can be either evergreen or deciduous.
Landcover snow and ice
Coverage: Global
Update: Static
Snow and Ice. Lands under snow or ice cover throughout the year.
Landcover wetland
Coverage: Global
Update: Static
Wetland, Lands with a permanent mixture of water and herbaceous or woody vegetation. The vegetation can be present in either salt, brackish, or fresh water.
Forest canopy average height
Coverage: Global
Update: Static
Global and regional Canopy Height Maps (CHM). Created using machine learning models on high-resolution worldwide Maxar satellite imagery.
Forest canopy maximal height
Coverage: Global
Update: Static
Global and regional Canopy Height Maps (CHM). Created using machine learning models on high-resolution worldwide Maxar satellite imagery.
🗺️ OpenStreetMap (OSM) Activity
OSM buildings (edited in last 6 months)
Coverage: Global
Update: Daily
Number of buildings mapped in OpenStreetMap in the last 6 months.
MapSwipe human activity
Coverage: Global
Update: Daily
Places where MapSwipe users have detected some human activity through features (i.e. buildings, roadways, waterways, etc.) on satellite images.
OpenAerialMap coverage area
Coverage: Global
Update: 30mins
Area covered by OpenAerialMap images.
OpenAerialMap coverage pixels number
Coverage: Global
Update: 30mins
Number of pixels of OpenAerialMap images.
OSM local contributor activity
Coverage: Global
Update: Daily
Number of OpenStreetMap mapping hours by active local mappers in the last 2 years. A mapping hour is an hour in which a user uploaded at least one tagged object. Mapper is considered active if they contributed more than 30 mapping hours in the last 2 years. The position of the active mapper is estimated by the region of their highest activity.
OSM contributor activity
Coverage: Global
Update: Daily
Total number of OpenStreetMap mapping hours by all users in the last 2 years. A mapping hour is an hour in which a user uploaded at least one tagged object.
OSM map views (30 days before Feb 24, 2022)
Coverage: Global
Update: Daily
Number of tile requests in a given area for the 30 days before Feb 24, 2022.
OSM last edit (avg)
Coverage: Global
Update: Daily
Average of latest OpenStreetMap edit dates in a given area.
OSM first edit
Coverage: Global
Update: Daily
Date of earliest OpenStreetMap edit in a given area.
OSM last edit
Coverage: Global
Update: Daily
Date of latest OpenStreetMap edit in a given area at highest resolution.
OSM objects (edited in last 6 months)
Coverage: Global
Update: Daily
Number of objects mapped in OpenStreetMap in the last 6 months.
OSM map views (last 30 days)
Coverage: Global
Update: Daily
Number of tile requests in a given area for the last 30 days.
OSM contributors
Coverage: Global
Update: Daily
Number of users who have edited a given area in OpenStreetMap.
OSM objects
Coverage: Global
Update: Daily
Total number of objects in a given area according to OpenStreetMap.
OSM road length (edited in last 6 months)
Coverage: Global
Update: Daily
Length of roads mapped in OpenStreetMap in the last 6 months.
🧭 Relief
Elevation
Coverage: Global
Update: Static
Average surface elevation in meters.
Slope
Coverage: Global
Update: Static
Average surface slope.
🚆 Transport
Airports
Coverage: Global
Update: Daily
Number of airports in OpenStreetMap.
Car parkings capacity
Coverage: Global
Update: Daily
Number of car parking spaces in OpenStreetMap.
Public transport stops
Coverage: Global
Update: Daily
Number of public transports stops, except railways stations in OpenStreetMap.
Railway stations
Coverage: Global
Update: Daily
Number of railway stations in OpenStreetMap.
OSM road length
Coverage: Global
Update: Daily
Total length of roads in a given area according to OpenStreetMap.
Road length
Coverage: Global
Update: Daily
Estimated total road length according to Meta (Facebook) AI and OpenStreetMap data. For places where Meta (Facebook) roads data are unavailable, the estimation is based on statistical regression from Kontur Population data.
Road Quality
Coverage: Global
Update: Daily
Road quality is measured by volunteers using mobile application that records phone accelerometer while driving. The areas that have highest typical standard deviation of acceleration are considered uncomfortable for driving.