Mexico GIS data
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uav imagery by bcsicletos, acquired 2025-03-25 to 2025-03-25, 5.0 cm per pixel, published on OpenAerialMap.
FEMA National Flood Hazard Layer with Flood Hazard Zones. For more information on FEMA Flood Zones visit https://www.fema.gov/glossary/flood-zones. Important: Only use this layer if needing to symbolize floodplains at a scale of 1:9,000 or larger. Not intended for use across large geographies. For better map rendering, use the FEMA_Flood_Hazard_Zones_Tiled service. Disclaimer: This product is for informational purposes only and may not be suitable for legal, engineering, or surveying purposes. It does not represent an official survey and represents only the approximate relative location of features and boundaries. Mapping may not necessarily reflect on-the-ground conditions. This product and those involved in its production make no claims as to the accuracy or reliability of the data, and neither assumes, nor will accept liability for their use.
The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which "... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards, " Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP. The FIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The FIRM Database serves to archive the information collected during the Flood Risk Project.
geoBoundaries ADM2 boundaries for Mexico: 2457 units, representing 2012. Source: World Bank.
geoBoundaries ADM1 boundaries for Mexico: 32 units, representing 2020. Source: Instituto Nacional de Estadística y Geografía (INEGI).
uav imagery by bcsicletos, acquired 2025-03-25 to 2025-03-25, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by geografia_en_viz, acquired 2025-07-25 to 2025-07-26, 19.8 cm per pixel, published on OpenAerialMap.
uav imagery by geografia_en_viz, acquired 2025-11-03 to 2025-11-04, 8.6 cm per pixel, published on OpenAerialMap.
The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters Of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Dataum of 1983 (NSRS-2007).
Retirement Notice: This item is in mature support as of October 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. Mexico Country Boundary provides a 2022 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 2022 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INEGI, 2020 Marco Geoestadístico. These were published in September 2023. Other administrative boundaries for this country are also available: Estado Municipio AGEB
uav imagery by Patlani Cartografía, acquired 2025-08-09 to 2025-08-09, 4.6 cm per pixel, published on OpenAerialMap.
Subset of the National Flood Hazard Layer (NFHL) services for when FEMA's official REST service is down. Downloaded as needed from the National Flood Hazard Layer Status page, re-projected to Texas State Plane S Central, then published to Harris County Engineering ArcGIS Server.
Retirement Notice: This item is in mature support as of October 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. Mexico AGEB Boundaries provides a 2022 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 2022 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INEGI, 2020 Marco Geoestadístico. These were published in September 2023. Other administrative boundaries for this country are also available: Country Estado Municipio
Areas of New Orleans that are known to experience flooding during high rainfall rate events. These areas were created from FEMA Special Flood Hazard Areas and mimic the previous Ponding Areas produced by the agency. Property owners should take extra precautions in these areas and remain vigilant when the city is experiencing heavy rainfall rates. Reconsider parking in these areas during rainy weather. Keep personal property (homes, vehicles, trailers, offices) protected by ensuring items are elevated off of the ground. Flooding can be experienced on any street in New Orleans given an extreme rainfall event. This map layer DOES NOT predict flooding in any part of New Orleans. This map layer should not be used as an indicator of future flooding. This layer is to be used as a reference for protecting property but not necessarily to determine flooding chances or insurance requirements. This dataset is derived from The National Flood Hazard Layer. The National Flood Hazard Layer (NFHL) is a digital database that contains flood hazard mapping data from FEMA’s National Flood Insurance Program (NFIP). This map data is derived from Flood Insurance Rate Map (FIRM) databases and Letters of Map Revision (LOMRs).The NFHL is for community officials and members looking to view effective regulatory flood hazard information in a Geographic Information Systems (GIS) application.
Retirement Notice: This item is in mature support as of October 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. Mexico Municipio Boundaries provides a 2022 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 2022 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INEGI, 2020 Marco Geoestadístico. These were published in September 2023. Other administrative boundaries for this country are also available: Country Estado AGEB
Obtained from FEMA's national Flood Hazard Layer. For viewing directly from FEMA, visit the NFHL Viewer. Last revised 5/16/2023. Shared in Internal Interactive Map/App
FEMA's National Flood Hazard Layer (NFHL) flood hazard zones for the Houston metropolitan area. Flood hazard zones are simplified and merged into the following categories:within the floodway (gold) 100-year (1% percent) flood zone (orange) 500-year (0.2% percent) flood zone (red) FEMA NFHL data was provided via the Texas Natural Resources Information System, and processed and styled by the Esri Story Maps team.
Retirement Notice: This item is in mature support as of October 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. Mexico Estado Boundaries provides a 2022 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 2022 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INEGI, 2020 Marco Geoestadístico. These were published in September 2023. Other administrative boundaries for this country are also available: Country Municipio AGEB
FEMA National Flood Hazard Layer Flood Hazard Zones. Map services is configured to be rendered at a scale of 1:145,000 or larger. Disclaimer: This product is for informational purposes only and may not be suitable for legal, engineering, or surveying purposes. It does not represent an official survey and represents only the approximate relative location of features and boundaries. Mapping may not necessarily reflect on-the-ground conditions. This product and those involved in its production make no claims as to the accuracy or reliability of the data, and neither assumes, nor will accept liability for their use.
FEMA National Flood Hazard Layer Floodplains. HARC Disclaimer: This product is for informational purposes only and may not be suitable for legal, engineering, or surveying purposes. It does not represent an official survey and represents only the approximate relative location of features and boundaries. Mapping may not necessarily reflect on-the-ground conditions. This product and those involved in its production make no claims as to the accuracy or reliability of the data, and neither assumes, nor will accept liability for their use.
Obtained from FEMA's national Flood Hazard Layer. For viewing directly from FEMA, visit the NFHL Viewer. Last revised 5/16/2023. Shared in Internal Interactive Map/App
Esta base de datos contiene la ubicación de los albergues temporales localizados en el estado de Jalisco, nombre del lugar, capacidad (en número de personas).
Información referenciada geográficamente en formato shape file sobre las presas en México
Esta base de datos contiene la ubicación de los albergues temporales localizados en el estado de Nayarit, nombre del lugar, capacidad (en número de personas).
Esta base de datos contiene la ubicación de los albergues temporales localizados en el estado de Colima, nombre del lugar, capacidad (en número de personas).
Áreas susceptibles a deslizamiento de laderas El mapa nacional de susceptibilidad a deslizamientos de laderas contempla una clasificación por pixel de cinco posible valores de acuerdo a la tabla siguiente: Valores de pixel Clasificación 1- Muy bajo 2- Bajo 3- Medio 4-Alto 5-Muy Alto
Fuente: Secretaría de Salud, Dirección General de Información en Salud. Formato de captación: Plataforma web y formatos Excel. Periodicidad de actualización: Anual. Es o no información oficial: Es información oficial. Contenido de la base de datos: La base de datos contiene información de los establecimientos en salud (unidades médicas, establecimientos de apoyo y de asistencias social), con datos de ubicación geográfica y domiciliaria, institución y tipo de establecimiento. Uso e interpretación de la información publicada: Identificación de la infraestructura en salud instalada a nivel nacional, orientada a la prestación de servicios de salud. Descripción de los catálogos auxiliares: Se utiliza el catálogo CLUES, el catálogo de instrumental y equipo del Consejo de Salubridad General.
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
This map illustrates satellite-detected, potentially damaged structures in the town of Atzala, Atzala Municipality, Puebla State, Mexico. The analysed area is located approximately 7 km west of the mainshock epicentre of the 19 September M 7.1 earthquake. UNITAR-UNOSAT identified 91 potentially damaged structures of which 78 are within the town extent. Taking in account the total 559 pre-event structures in Atzala town, 14% of the structures are likely to be damaged. These analyses was performed using a post-event Pleiades satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 11 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.