Turkey GIS data
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Date of Image: Sentinel 1 UNW: 2/21/2023 Sentinel-1 RNG & AZI: 2/9/2023 JAXA ALOS-2 UNW, AZI & RNG: 2/8/2025 Summary: Scientists working with Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology, both in Pasadena, California, created this displacement map with measurements of the surface displacements, in the radar line-of-sight, caused by the major earthquake in Turkiye. NOTE: The line-of-sight displacement (LOS) measurement is relative, and the dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. SENTINEL-1: The map was derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The team computed the interferometric difference (interferogram or interferometric SAR) between the post-event and pre-event images on the Sentinel-1 ascending (satellite moving north) track 14. The interferometric SAR (InSAR) measures the component of surface displacement in the line-of-sight (LOS) between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly south of due west. Sentinel 1 UNW: post-event image from 2/21, pre-event image from 2/9. Sentinel 1 RNG & AZI: post-event image from 2/9, pre-event image 1/28. JAXA ALOS-2: The maps were derived from synthetic aperture radar (SAR) images from the ALOS-2 L-band operated by the Japanese Aerospace Exploration Agency (JAXA) ALOS-2 SAR satellite. The team computed the interferometric difference (interferogram or interferometric SAR) and pixel offset tracking between the post-event image acquired on February 8, 2023 with a pre-event image acquired on April 6, 2022, on the ALOS-2 descending (satellite moving south) track 78. The interferometric SAR (InSAR) measures the component of surface displacement in the line-of-sight (LOS) between the ground and the satellite, which is at an angle of about 30 degrees from the vertical up and to the east. Suggested Use: Unwrapped Interferogram (UNW): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East Across Track Displacement (RNG): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East Along Track Displacement (AZI): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East NOTE: Small vertical displacements have also occurred, but the primary surface displacements were in the horizontal plane. Satellite/Sensor: Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2 Resolution: Sentinel-1: 90 meters ALOS-2: 30 meters Credits: NASA-JPL/Caltech ARIA Team The Sentinel-1 data products contain modified Copernicus Sentinel data (2023), processed by the European Space Agency and analyzed at the NASA Jet Propulsion Laboratory. The ALOS-2/PALSAR-2 Data Products are provided by JAXA, facilitated by NASA and analyzed at the NASA Jet Propulsion Laboratory. Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=bbcdefb8b11546f28e83bfa9cac87f9a WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202302_EARTHQUAKE_TURKIYE/2302_opera_surf_disp/ImageServer/WMSServer Data Download: Sentinel-1 UNW: https://aria-share.jpl.nasa.gov/20230206_Turkey_EQ/Displacements/Sentinel1/A014_20230209_20230221/ Sentinel 1 RNG & AZI: https://aria-share.jpl.nasa.gov/20230206_Turkey_EQ/Displacements/Sentinel1/A014_20230128_20230209/ ALOS-2: https://aria-share.jpl.nasa.gov/20230206_Turkey_EQ/Displacements/
Date of Images: 2/2/2023, 2/10/2023, 2/17/2023 Summary: This PlanetScope imagery captured by Planet Labs Inc. in February 2023 shows a few landslides following the earthquakes in Türkiye. True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB s produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Suggested Use: True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: PlanetScope Resolution: 3 meters Credits: NASA Disasters Program, NASA GSFC, Includes copyrighted material of Planet Labs PBC. All rights reserved. Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=871506b5ebee48c18ff6b89fa5f775f9 WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202302_EARTHQUAKE_TURKIYE/2302_planet/ImageServer/WMSServer
The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons. Fields available: SID: A unique storm identifier (SID) assigned by IBTrACS algorithm. ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss) BASIN: Basin of the current storm position SUBBASIN: Sub-basin of the current storm position NATURE: Type of storm (a combination of the various types from the available sources) NUMBER: Number of the storm for the year (restarts at 1 for each year LAT: Mean position - latitude (a combination of the available positions) LON: Mean position - longitude (a combination of the available positions) WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.
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 contains the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Turkey: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
These data were produced by WorldPop at the University of Southampton. These data include gridded estimates of population at approximately 100m for 2021, along with estimates of the number of people belonging to individual age-gender groups. These results were produced using subnational population estimates for Turkey in 2021 provided in the Common Operational Dataset on Population Statistics (COD-PS) and built-up surfaces/volumes/height covariates extracted from GHSL datasets. The constrained and unconstrained top-down disaggregation method was used to produce the datasets. The modelling work and geospatial data processing was led by Bondarenko M., Priyatikanto R., Sorichetta A. Oversight was provided by Tatem A.J. For further details, please, read the Release Statement. **Recommended citations** Bondarenko M., Priyatikanto R., Sorichetta A., and Tatem A.J.. 2023 *Gridded population estimates for Turkey using UN COD-PS estimates 2021, version 1.0*. WorldPop University of Southampton. doi:10.5258/SOTON/WP00758 **License** *These data may be distributed using a Creative Commons Attribution 4.0 International (CC BY 4.0) License, specified in legal code. Contact release@worldpop.org for more information.* The authors followed rigorous procedures designed to ensure that the used data, the applied method and thus the results are appropriate and of reasonable quality. If users encounter apparent errors or misstatements, they should contact WorldPop at release@worldpop.org. WorldPop, University of Southampton, and their sponsors offer these data on a "where is, as is" basis; do not offer an express or implied warranty of any kind; do not guarantee the quality, applicability, accuracy, reliability or completeness of any data provided; and shall not be liable for incidental, consequential, or special damages arising out of the use of any data that they offer.
Türkiye administrative level 0-2 boundaries (COD-AB) dataset version 01. This dataset is structured into 2 levels: - Admin 1: 81 Province (İl) - Admin 2: 973 District (İlçe) Dates associated with this dataset: - 16 January 2025: dataset reviewed for accuracy and completeness - 01 January 2022: valid for use by the humanitarian community - 30 March 2014: last edit to the dataset before publishing - 30 March 2014: boundaries created by the source Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
This dataset contains annual, 100m-resolution above ground biomass (AGB) estimates from CTrees, a NASA-affiliated forest-carbon monitoring organization, clipped to this country's boundary from CTrees' global AGB raster. Pixel values are stored as int16, scaled x10 relative to the true value in megagrams per hectare (Mg/ha) -- divide by 10 to get Mg/ha. See the caveats field and resource description for details on how this scale factor is recorded and why it isn't applied automatically by most tools.
Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: railway - Part of the country exports on HDX by HOT
Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT
Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, shop, tourism, man_made - Part of the country exports on HDX by HOT
Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT
Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: tourism, amenity, historic, heritage - Part of the country exports on HDX by HOT
Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT
Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT
Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT
Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a biophysical dimensionless quantity (its values range from 0/no absorption to 1/total absorption) used to assess the greenness and health of vegetation. FAPAR anomalies can be used as an indicator to detect and monitor the impacts of agricultural drought on the growth and productivity of vegetation. The data is presented in 10-day time composite of the Visible Infrared Imaging Radiometer Suite (VIIRS).
GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.
Retirement Notice: This item is in mature support as of April 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Turkiye Postcodes2 Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in March 2024. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available:Country StatistBoelgeler AltBoelgeler Iller Ilceler Postcodes5
Retirement Notice: This item is in mature support as of April 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Turkiye Country Boundary provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in March 2024. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available:StatistBoelgeler AltBoelgeler Postcodes2 Iller Ilceler Postcodes5
Retirement Notice: This item is in mature support as of April 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Turkiye Postcodes5 Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in March 2024. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available:Country StatistBoelgeler AltBoelgeler Postcodes2 Iller Ilceler
NOTE: this is exercise data and not representative of real events. The original data is from the earthquake in Turkey February 2023. Date of Image: 5/21/2026 Summary: Scientists working with Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology, both in Pasadena, California, created this displacement map with measurements of the surface displacements, in the radar line-of-sight, caused by the major earthquake in Turkiye. NOTE: The line-of-sight displacement (LOS) measurement is relative, and the dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. SENTINEL-1: The map was derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The team computed the interferometric difference (interferogram or interferometric SAR) between the post-event and pre-event images on the Sentinel-1 ascending (satellite moving north) track 14. The interferometric SAR (InSAR) measures the component of surface displacement in the line-of-sight (LOS) between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly south of due west. Suggested Use: Unwrapped Interferogram (WRP): Phase map showing relative ground deformation where each "fringe" or concentric pattern indicates a 20 cm of displacement along the line-of-sight of the satellite (LOS). The color pattern from the inside to the outside of fringe indicates the direction of the ground movement. If the ground move towards the satellite, the color variation goes from ROYGB (Red->Orange->Yellow->Green->Blue), whereas, BGYOR (Blue->Green->Yellow->Orange->Red) represents ground movement away from the satellite. The dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. Across Track Displacement (RNG): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East Along Track Displacement (AZI): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East NOTE: Small vertical displacements have also occurred, but the primary surface displacements were in the horizontal plane. Satellite/Sensor: Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2 Resolution: Sentinel-1: 90 meters ALOS-2: 30 meters Credits: NASA-JPL/Caltech ARIA Team The Sentinel-1 data products contain modified Copernicus Sentinel data (2023), processed by the European Space Agency and analyzed at the NASA Jet Propulsion Laboratory. The ALOS-2/PALSAR-2 Data Products are provided by JAXA, facilitated by NASA and analyzed at the NASA Jet Propulsion Laboratory. Service URL: See URL to the bottom right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2604_202605_FIRE_CA/ex2604_disp_s1/MapServer/WMSServer
Date of Image: 5/21/2026 Summary: Scientists working with Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology, both in Pasadena, California, created this displacement map with measurements of the surface displacements, in the radar line-of-sight, caused by the major earthquake in Turkiye. NOTE: The line-of-sight displacement (LOS) measurement is relative, and the dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. SENTINEL-1: The map was derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The team computed the interferometric difference (interferogram or interferometric SAR) between the post-event and pre-event images on the Sentinel-1 ascending (satellite moving north) track 14. The interferometric SAR (InSAR) measures the component of surface displacement in the line-of-sight (LOS) between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly south of due west. Suggested Use: Unwrapped Interferogram (WRP): Phase map showing relative ground deformation where each "fringe" or concentric pattern indicates a 20 cm of displacement along the line-of-sight of the satellite (LOS). The color pattern from the inside to the outside of fringe indicates the direction of the ground movement. If the ground move towards the satellite, the color variation goes from ROYGB (Red->Orange->Yellow->Green->Blue), whereas, BGYOR (Blue->Green->Yellow->Orange->Red) represents ground movement away from the satellite. The dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. Across Track Displacement (RNG): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East Along Track Displacement (AZI): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East NOTE: Small vertical displacements have also occurred, but the primary surface displacements were in the horizontal plane. Satellite/Sensor: Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2 Resolution: Sentinel-1: 90 meters ALOS-2: 30 meters Credits: NASA-JPL/Caltech ARIA Team The Sentinel-1 data products contain modified Copernicus Sentinel data (2023), processed by the European Space Agency and analyzed at the NASA Jet Propulsion Laboratory. The ALOS-2/PALSAR-2 Data Products are provided by JAXA, facilitated by NASA and analyzed at the NASA Jet Propulsion Laboratory. Service URL: See URL to the bottom right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2604_202605_FIRE_CA/ex2604_disp_s1/MapServer/WMSServer
Retirement Notice: This item is in mature support as of April 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Turkiye AltBoelgeler Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in March 2024. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available:Country StatistBoelgeler Postcodes2 Iller Ilceler Postcodes5
Retirement Notice: This item is in mature support as of April 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Turkiye StatistBoelgeler Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in March 2024. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available:Country AltBoelgeler Postcodes2 Iller Ilceler Postcodes5
Retirement Notice: This item is in mature support as of April 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Turkiye Ilceler Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in March 2024. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available:Country StatistBoelgeler AltBoelgeler Postcodes2 Iller Postcodes5
Natural Earth admin 0 countries tur at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.
