These airborne lidar data were gathered by the Instituto Nacional de Estadistica y Geografia of Mexico as part of a regional mapping activity in northwestern Mexico. They span the area that ruptured in the April 2010 M7.2 El Mayor Cucupah earthquake which was laser scanned and for which data are available in OpenTopography's holdings. Alejandro Hinojosa of CICESE is the contact person for these data. This version of the data has been empirically corrected by Craig Glennie and colleagues at the University of Houston. Details for the data corrections as follows: Rather than trying to correct the whole dataset, we just concentrated on the portion that overlaps with the post-event data. Here is a brief summary of what we did: (1) Pre-Event Data was given in ITRF 1992 (1988.0 epoch) and post-event NCALM data was processed in ITRF2000 (Epoch 2010.627). NGS software package HTDP was used to compute a coordinate shift between these two reference frames (-0.900 m East, 0.429 m North, 0.004 m Up). To correct the 2006 data to the same datum as the NCALM data, we added the vector (-0.900,0.429,0.004) to all of the pre-event data points. (2) Original dataset contained all scan data out to +/- 28 degree scan angle. There are significant problems at the outer edge of the scan, so all scan lines were cropped to +/-24 degrees. This results in minimal overlap between scan lines, but doesn't create any data gaps between flight lines. (3)Dataset was then re-boresighted. We determined a roll and pitch offset for each flight line individually, plus a global mirror scale factor. (4) Finally, we determined an individual delta "z" correction for each flightline. Note that for all of the above adjustments, none of the post-earthquake data was used. We purposely sequestered the two datasets so as not to inadvertently remove differences caused by the earthquake. To give an idea of the magnitude of the improvement, on the pre-event dataset (as delivered to me) in the overlap, we were seeing average elevation differences of 95 cm (1 sigma). After cropping the data to 24 degrees, the average elevation differences were 70 cm (1 sigma) After steps (3) and (4) above, the average elevation differences were reduced to 52 cm (1 sigma). So overall, it appears we were able to reduce the vertical errors by almost a factor of two.

This dataset provides an estimate of soil organic carbon (SOC) in the top one meter of soil across Mexico at a 90-m resolution for the period 1999-2009. Carbon estimates (kg/m2) are based on a field data collection of 2852 soil profiles by the National Institute for Statistics and Geography (INEGI). The profile data were used for the development of a predictive model along with a set of environmental covariates that were harmonized in a regular grid of 90x90 m2 across all Mexican states. The base of reference was the digital elevation model (DEM) of the INEGI at 90-m spatial resolution. A model ensemble of regression trees with a recursive elimination of variables explained 54% of the total variability using a cross-validation technique of independent samples. The error associated with the predictive model estimates of SOC is provided. A summary of the total estimated SOC per state, statistical description of the modeled SOC data, and the number of pixels modeled for each state are also provided.

Mexico MVP: BMW: Autos: Serie 3 data was reported at 5,424.000 Unit in Mar 2025. This records a decrease from the previous number of 5,876.000 Unit for Feb 2025. Mexico MVP: BMW: Autos: Serie 3 data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 8,630.000 Unit in Jun 2023 and a record low of 0.000 Unit in Dec 2024. Mexico MVP: BMW: Autos: Serie 3 data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.

This is a 1 arc-second (approximately 30 m) resolution tiled collection of the 3D Elevation Program (3DEP) seamless data products . 3DEP data serve as the elevation layer of The National Map, and provide basic elevation information for Earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. 3DEP data compose an elevation dataset that consists of seamless layers and a high resolution layer. Each of these layers consists of the best available raster elevation data of the conterminous United States, Alaska, Hawaii, territorial islands, Mexico and Canada. 3DEP data are updated continually as new data become available. Seamless 3DEP data are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the conterminous United States, are referenced to the North American Vertical Datum of 1988 (NAVD 88). The vertical reference will vary in other areas. The elevations in these DEMs represent the topographic bare-earth surface. All 3DEP products are public domain.

This dataset includes data over Canada and Mexico as part of an international, interagency collaboration with the Mexico's National Institute of Statistics and Geography (INEGI) and the Natural Resources Canada (NRCAN) Centre for Topographic Information-Sherbrook, Ottawa. For more details on the data provenance of this dataset, visit here and here.

Click here for a broad overview of this dataset

The 2020 North American Land Cover 30-meter dataset was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between Natural Resources Canada, the United States Geological Survey, and three Mexican organizations including the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), National Commission for the Knowledge and Use of the Biodiversity (Comisión Nacional Para el Conocimiento y Uso de la Biodiversidad), and the National Forestry Commission of Mexico (Comisión Nacional Forestal). The collaboration is facilitated by the Commission for Environmental Cooperation, an international organization created by the Canada, Mexico, and United States governments under the North American Agreement on Environmental Cooperation to promote environmental collaboration between the three countries. The general objective of NALCMS is to devise, through collective effort, a harmonized multi-scale land cover monitoring approach which ensures high accuracy and consistency in monitoring land cover changes at the North American scale and which meets each country’s specific requirements. This 30-meter dataset of North American Land Cover reflects land cover information for 2020 from Mexico and Canada, 2019 over the conterminous United States and 2021 over Alaska. Each country developed its own classification method to identify Land Cover classes and then provided an input layer to produce a continental Land Cover map across North America. Canada, Mexico, and the United States developed their own 30-meter land cover products; see specific sections on data generation below. The main inputs for image classification were 30-meter Landsat 8 Collection 2 Level 1 data in the three countries (Canada, the United States and Mexico). Image selection processes and reduction to specific spectral bands varied among the countries due to study-site-specific requirements. While Canada selected most images from the year 2020 with a few from 2019 and 2021, the Conterminous United States employed mainly images from 2019, while Alaska land cover maps are mainly based on the use of images from 2021. The land cover map for Mexico was based on land cover change detection between 2015 and 2020 Mexico Landsat 8 mosaics. In order to generate a seamless and consistent land cover map of North America, national maps were generated for Canada by the CCRS; for Mexico by CONABIO, INEGI, and CONAFOR; and for the United States by the USGS. Each country chose their own approaches, ancillary data, and land cover mapping methodologies to create national datasets. This North America dataset was produced by combining the national land cover datasets. The integration of the three national products merged four Land Cover map sections, Alaska, Canada, the conterminous United States and Mexico.

Information on the commercial exchange of merchandise that Mexico carries out with the rest of the world.

Mexico MVP: BMW data was reported at 8,584.000 Unit in Mar 2025. This records a decrease from the previous number of 8,876.000 Unit for Feb 2025. Mexico MVP: BMW data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 12,566.000 Unit in Sep 2023 and a record low of 0.000 Unit in Dec 2024. Mexico MVP: BMW data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.

Second-Hand (SH) vehicle imports from the US comprise nearly 30 percent of Mexico’s light-duty vehicles. As US electric vehicle (EV) adoption progresses, SH EVs will increasingly enter Mexico. SH EVs could speed vehicle electrification, but also present environmental and economic risks because they are larger and reach retirement faster than new EVs. Understanding future flows of used and new EVs into Mexico’s fleet, and their expected retirement, is needed to understand if SH EVs provide a net benefit. This research uses system dynamics modeling to project future EV adoption and SH vehicle trade between the US and Mexico. Results show EVs will comprise nearly 50% of Mexico’s fleet and up to 99% of SH imports by 2050, and SH EV batteries disproportionately contribute to the stock of spent EV batteries. Policies to ensure SH vehicle trade provides net benefits for the region include import and export battery state-of-health restrictions. Methods The multiple background datasets used in the study were collected from official sources in both the United States and Mexico. For Mexico, data on second-hand (SH) vehicle imports was obtained from the National Customs Agency (ANAM), and historical vehicle fleet and sales data were sourced from the National Institute for Statistics and Geography (INEGI). For the U.S., vehicle sales projections were based on the U.S. Energy Information Administration’s (EIA) forecasts, with additional adjustments made to align with government policy goals, such as the White House’s target for EV adoption. These datasets were integrated into a multi-region stock turnover model, and further refined using optimization techniques to align the model's outputs with historical records. Then, the model incorporated battery characterization data from BatPaC v5.0 (Argonne National Laboratory) to estimate the recoverable amounts of various materials per battery pack type at their end-of-life, including lithium, nickel, cobalt, manganese, aluminum, copper, and steel. The aim was to estimate the battery mass of critical battery materials associated with used EV exports.

The 2010 North American Land Cover data set was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between the Canada Centre for Remote Sensing, the United States Geological Survey, and three Mexican organizations including the National Institute of Statistics and Geography (Instituto Nacional de Estadistica y Geografia), National Commission for the Knowledge and Use of the Biodiversity (Comisión Nacional Para el Conocimiento y Uso de la Biodiversidad), and the National Forestry Commission of Mexico (Comisión Nacional Forestal). The collaboration is facilitated by the Commission for Environmental Cooperation, an international organization created by the Canada, Mexico, and United States governments under the North American Agreement on Environmental Cooperation to promote environmental collaboration between the three countries. The general objective of NALCMS is to devise, through collective effort, a harmonized multi-scale land cover monitoring approach which ensures high accuracy and consistency in monitoring land cover changes at the North American scale and which meets each country’s specific requirements. The initial data set of North American Land Cover at 250 meters reflected land cover information for 2005. This 2010 data set was produced by updating the 2005 data to show land cover changes as determined from more recent data. No changes were mapped in Hawaii because newer data were not available. Land cover classification changed between 2005 and 2010 for approximately 1 percent of the continental area. For the continental data sets (including surrounding water fringe) 4150241 pixels (1.03% of the area) changed in the update. The following national counts exclude the water fringe: Canada, 3264779 pixels changed (2.05%); Mexico, 47070 pixels changed (0.15%), and U.S., 836706 pixels changed (0.55%). The initial data set used to generate land cover information over North America was produced by the Canada Centre for Remote Sensing from observations acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS/Terra). All seven land spectral bands were processed from Level 1 granules into top-of-atmosphere reflectance covering North America at a 250-meter spatial and 10-day temporal resolution. In order to generate a seamless and consistent land cover map of North America, national maps were generated for Canada by the CCRS; for Mexico by INEGI, CONABIO, and CONAFOR; and for the United States by the USGS. Each country used specific training data and land cover mapping methodologies to create national data sets. This North America data set was produced by combining the national land cover data sets. The countries worked together to produce a definitive list of land cover classifications for the 2005 data; the same classifications were used for the 2010 data. This document is available for download from the same site as the data and is entitled: North American Land Cover Classifications (2005).

This data set replaces the 2010 edition (Edition 1.0) of the 2005 Land Cover of North America. Following the release of the first 2005 land cover data, several errors were identified in the data, including both errors in labeling and misinterpretation of thematic classes. To correct the labeling errors, each country focused on its national territory and corrected the errors which it considered most critical or misleading. For the continental data sets (including surrounding water fringe) 17440830 pixels (4.33% of the area) changed in the update. The following national counts exclude the water fringe: Canada, 10223412 pixels changed (6.44%); Mexico, 141142 pixels changed (0.45%), and U.S., 6878656 pixels changed (4.54%). The countries worked together to produce a definitive list of land cover classifications for the 2005 data; this document is available for download from the same site as the data and is entitled: North American Land Cover Classifications (2005). Version 1 of the 2005 North American Land Cover data set was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between the Canada Centre for Remote Sensing, the United States Geological Survey, and three Mexican organizations including the National Institute of Statistics and Geography (Instituto Nacional de Estadistica y Geografia), National Commission for the Knowledge and Use of the Biodiversity (Comisión Nacional Para el Conocimiento y Uso de la Biodiversidad) and the National Forestry Commission of Mexico (Comisión Nacional Forestal). The collaboration is facilitated by the Commission for Environmental Cooperation, an international organization created by the Canada, Mexico, and United States governments under the North American Agreement on Environmental Cooperation to promote environmental collaboration between the three countries. The general objective of NALCMS is to devise, through collective effort, a harmonized multi-scale land cover monitoring approach which ensures high accuracy and consistency in monitoring land cover changes at the North American scale and which meets each country’s specific requirements. The data set of 2005 Land Cover of North America at a resolution of 250 meters is the first step toward this goal. The initial data set used to generate land cover information over North America was produced by the Canada Centre for Remote Sensing from observations acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS/Terra). All seven land spectral bands were processed from Level 1 granules into top-of-atmosphere reflectance covering North America at a 250-meter spatial and 10-day temporal resolution. In order to generate a seamless and consistent land cover map of North America, national maps were generated for Canada by the CCRS; for Mexico by INEGI, CONABIO, and CONAFOR; and for the United States by the USGS. Each country used specific training data and land cover mapping methodologies to create national data sets. This North America data set was produced by combining the national land cover data sets.

Contained within the Atlas of Canada 8.5x11 series maps is a map which was prepared by three mapping agencies in cooperation with the Commission for Environmental Cooperation (CEC). The CEC is located on Montreal and was created by Canada, Mexico and the United States under the North American Agreement on environmental Cooperation (NAAEC). The three mapping agencies involved are The Atlas of Canada, The National Atlas of the United States and the National Institute of Statistics, Geography and Informatics (INEGI) of Mexico. The map shows populated places, transportation routes, hydrography, bathymetry and political boundaries for all of North America. The scale of the map is 1:10 000 000 and it uses the Lambert Azimuthal Equal Area Projection. Many hydrographic and political names are shown in English, French and Spanish.

Mexico MVP: General Motors: Trucks: Light: Sierra Cabin Regular data was reported at 804.000 Unit in Mar 2025. This records a decrease from the previous number of 863.000 Unit for Feb 2025. Mexico MVP: General Motors: Trucks: Light: Sierra Cabin Regular data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 2,045.000 Unit in Oct 2024 and a record low of 0.000 Unit in Apr 2020. Mexico MVP: General Motors: Trucks: Light: Sierra Cabin Regular data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.

Mexico MVP: Nissan: Trucks: QX50 data was reported at 864.000 Unit in Mar 2025. This records a decrease from the previous number of 978.000 Unit for Feb 2025. Mexico MVP: Nissan: Trucks: QX50 data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 4,119.000 Unit in Jul 2018 and a record low of 0.000 Unit in Apr 2020. Mexico MVP: Nissan: Trucks: QX50 data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.

Mexico MVP: Volkswagen: Trucks: Taos data was reported at 9,256.000 Unit in Mar 2025. This records a decrease from the previous number of 11,120.000 Unit for Feb 2025. Mexico MVP: Volkswagen: Trucks: Taos data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 13,076.000 Unit in Oct 2023 and a record low of 0.000 Unit in Sep 2020. Mexico MVP: Volkswagen: Trucks: Taos data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.

Contained within the Atlas of Canada 8.5x11 series maps is a map which was prepared by three mapping agencies in cooperation with the Commission for Environmental Cooperation (CEC). The CEC is located on Montreal and was created by Canada, Mexico and the United States under the North American Agreement on environmental Cooperation (NAAEC). The three mapping agencies involved are The Atlas of Canada, The National Atlas of the United States and the National Institute of Statistics, Geography and Informatics (INEGI) of Mexico. The map shows populated places, transportation routes, hydrography, bathymetry and political boundaries for all of North America. The scale of the map is 1:10 000 000 and it uses the Lambert Azimuthal Equal Area Projection. Many hydrographic and political names are shown in English, French and Spanish.

GTOPO30 is a global digital elevation model (DEM) resulting from a collaborative effort led by the staff at the U.S. Geological Survey's EROS Data Center in Sioux Falls, South Dakota. The name GTOPO30 is derived from the fact that elevations in GTOPO30 are regularly spaced at 30-arc seconds (approximately 1 kilometer). GTOPO30 was developed to meet the needs of the geospatial data user community for regional and continental scale topographic data. This release represents the completion of global coverage of 30-arc second elevation data that have been available from the EROS Data Center beginning in 1993. Several areas have been updated and the entire global data set has been repackaged, so these data supersede the previously released continental data sets.

Citation: Title: 30 arc second DEM of Southeast AsiaCredits: U.S. Geological Survey's Center for Earth Resources Observation and Science (EROS)Online Linkages: http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30_infoOther Citation Info: GTOPO30, completed in late 1996, was developed over a three year period through a collaborative effort led by staff at the U.S. Geological Survey's Center for Earth Resources Observation and Science (EROS). The following organizations participated by contributing funding or source data: the National Aeronautics and Space Administration (NASA), the United Nations Environment Programme/Global Resource Information Database (UNEP/GRID), the U.S. Agency for International Development (USAID), the Instituto Nacional de Estadistica Geografica e Informatica (INEGI) of Mexico, the Geographical Survey Institute (GSI) of Japan, Manaaki Whenua Landcare Research of New Zealand, and the Scientific Committee on Antarctic Research (SCAR).Larger Works:

This layer package was loaded using Data Basin.Click here to go to the detail page for this layer package in Data Basin, where you can find out more information, such as full metadata, or use it to create a live web map.

Mexico MVP: General Motors: Autos: ONIX data was reported at 0.000 Unit in Mar 2025. This stayed constant from the previous number of 0.000 Unit for Feb 2025. Mexico MVP: General Motors: Autos: ONIX data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 6,779.000 Unit in Jan 2020 and a record low of 0.000 Unit in Mar 2025. Mexico MVP: General Motors: Autos: ONIX data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.

Mexico MVP: Mercedes Benz: Autos: Class A Sedan data was reported at 0.000 Unit in Mar 2025. This stayed constant from the previous number of 0.000 Unit for Feb 2025. Mexico MVP: Mercedes Benz: Autos: Class A Sedan data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 5,133.000 Unit in Jun 2019 and a record low of 0.000 Unit in Mar 2025. Mexico MVP: Mercedes Benz: Autos: Class A Sedan data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.

Mexico MVP: JAC: Autos: J4 data was reported at 0.000 Unit in Mar 2025. This stayed constant from the previous number of 0.000 Unit for Feb 2025. Mexico MVP: JAC: Autos: J4 data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 63.000 Unit in Feb 2018 and a record low of 0.000 Unit in Mar 2025. Mexico MVP: JAC: Autos: J4 data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.

Mexico MVP: JAC: Trucks: Sei7 data was reported at 0.000 Unit in Mar 2025. This stayed constant from the previous number of 0.000 Unit for Feb 2025. Mexico MVP: JAC: Trucks: Sei7 data is updated monthly, averaging 0.000 Unit from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 91.000 Unit in Feb 2019 and a record low of 0.000 Unit in Mar 2025. Mexico MVP: JAC: Trucks: Sei7 data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.B038: Motor Vehicle Production. Prior to August 2018, data was published by Association of Mexican Automotive Industry (AMIA). The companies associated with AMIA individually signed agreements with National Institute of Statistics and Geography (INEGI) in order to provide this information. Starting September 2018 onwards, the National Institute of Statistics and Geography (INEGI) is in charge of compiling and disseminating figures on the production, exports and sales of motor vehicles.