The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Metropolitan Divisions subdivide a Metropolitan Statistical Area containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of counties or equivalent entities. Not all Metropolitan Statistical Areas with urban areas of this size will contain Metropolitan Divisions. Metropolitan Division are defined by the Office of Management and Budget (OMB) and consist of one or more main counties or equivalent entities that represent an employment center or centers, plus adjacent counties associated with the main county or counties through commuting ties. Because Metropolitan Divisions represent subdivisions of larger Metropolitan Statistical Areas, it is not appropriate to rank or compare Metropolitan Divisions with Metropolitan and Micropolitan Statistical Areas. The Metropolitan Divisions boundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2017.

Metropolitan DivisionsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Metropolitan Divisions within the United States. According to the USCB, "Metropolitan Divisions subdivide a Metropolitan Statistical Area (MSA) containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of counties or equivalent entities. Not all MSAs with urban areas of this size will contain Metropolitan Divisions. Not all MSAs with urban areas of this size will contain Metropolitan Divisions. Metropolitan Division are defined by the Office of Management and Budget (OMB) and consist of one or more main counties or equivalent entities that represent an employment center or centers, plus adjacent counties associated with the main county or counties through commuting ties."Nassau County-Suffolk County, NY Metro Division & New Brunswick-Lakewood, NJ Metro DivisionData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Metropolitan Divisions) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 83 (Series Information for Metropolitan Division National TIGER/Line Shapefiles, Current)OGC API Features Link: (Metropolitan Divisions - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: Geographic LevelsFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

On July 21, 2023, OMB Bulletin No 23-01 published the planned revisions to Metropolitan Statistical Areas, Micropolitan Statistical Areas, and Combined Statistical Areas and published guidance on uses of those area.The Tennessee State Data Center created a layer of the revised delineations using the 2022 TIGER Line data from the US Census Bureau and List 1 from the OMB bulletin. Data from List 1 was published in excel format to the Census Bureau’s website in August 2023. The data were joined and new metropolitan/micropolitan areas and combined statistical areas were generated.For more info see:Federal Register: https://www.federalregister.gov/documents/2021/07/16/2021-15159/2020-standards-for-delineating-core-based-statistical-areasOMB Bulletin: https://www.whitehouse.gov/wp-content/uploads/2023/07/OMB-Bulletin-23-01.pdfCensus Delineation files: https://www.census.gov/geographies/reference-files/time-series/demo/metro-micro/delineation-files.html

The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population, and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSAs for the 2010 Census are those defined by OMB and published in December 2009.

© The United States CBSA Boundaries files were compiled from a variety of sources including the US Bureau of the Census, and data supplied by individual states. This layer is sourced from maps.bts.dot.gov.

The Metropolitan Planning Organizations (MPO) dataset was compiled on February 26, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset contains the geographic boundaries of Metropolitan Planning Organizations. It provides users with transportation planning locations, sizes and names and is intended for metropolitan area multimodal transportation planning and programming. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529038

The U.S. Census Grids (Summary File 1), 1990: Metropolitan Statistical Areas data set contains grids of demographic and socioeconomic data from the year 1990 U.S. census in ASCII andGeoTIFF formats for 39 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 1990 TIGER/Line Files and census variables (population, households, and housing variables). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

This interactive map is updated continually and shows more than 800 variables at the neighborhood level (using the 2010 Census Tract geography boundaries). The data comes from various sources such as the U.S. Census Bureau’s 2010 Decennial Census, the U.S. Census Bureau’s latest American Community Survey five-year product (currently 2011-2015), Georgia Department of Public Health, and the Georgia Department of Labor. The map uses the Weave interactive platform, which allows the user to select data variables and customize related data visualizations (charts/graphs).

The month's Map of the Month examines an issue of housing policy not often discussed: how big are the houses that get built? The map depicts metropolitan areas in the United States with both the largest and smallest units. As you can see, the San Francisco-Oakland urbanized area is on the small end of the scale.

This web map shows annual Gross Domestic Product (GDP) by state and metro area in the USA for 2015. Clicking on the map reveals information about how the GDP has changed over time since 2001.The overlay of metro areas over states helps to put emphasis on where the country's GDP is coming from. The darkest green states produce the largest amount of GDP, and the largest circles show which major metropolitan areas contribute the most GDP within each state. Data is from the US Bureau of Economic Analysis and was downloaded from here. The state boundaries are generalized 2010 state boundaries from the Census Bureau's 2010 MAF/TIGER database. Note-- NAICS Industry detail is based on the 2007 North American Industry Classification System (NAICS).

This interactive map shows variables for the largest 100 metro areas in the nation. Change categories to compare for a single metro or compare between two metros in the comparison tab.Data Sources: US Census/ ACS, US Bureau of Economic Analysis, US Patent and Trademark Office, US Bureau of Labor Statistics.

Metro created the EFC designation to help us identify where transportation needs are greatest. Since its creation in 2019, the EFC Map considers the concentration of three characteristics: Low-income households; Black, Indigenous, and other People of Color (BIPOC) residents; and Households with no access to a car. In 2022, Metro updated the EFC Map by creating the Metro Equity Need Index (MENI). The MENI is an analysis that allows for a more nuanced understanding of equity needs across the county. It includes five tiers of equity need (Very High Need, High Need, Moderate Need, Low Need, and Very Low Need). Within this index, only the top two tiers ("High Need" and "Very High Need") are designated as EFCs. The MENI and 2022 EFC Map are used by Metro for new analyses and prioritization as of July 1, 2022.The Office of Equity and Race (OER) provided updates to the Executive Management Committee of the Metro Board of Directors in May (File # 2022-0275) and August (File #2022-0489) of 2022. This feature layer displays only the census tracts designated as EFCs in the MENI. For the feature layer corresponding to the MENI, with all census tracts in the county, please click on this link or search for "Metro Equity Need Index (MENI) 2022."Please note that Metro issued the following data corrections/updates:In August 2023 to account for a miscalculation in the total number of low-income householdsIn November 2023 to include city/community associations for census tractsIn February 2024 to include percentile scores that were used to identify Equity Need Tiers

Changes to field names are included in the Supporting Documentation Data Dictionary.For more information regarding Equity Focus Communities (EFCs), see the EFC FAQ Documentation.

Questions? Contact OER at EquityandRace@metro.net.

Provides regional identifiers for county based regions of various types. These can be combined with other datasets for visualization, mapping, analyses, and aggregation. These regions include:Metropolitan Statistical Areas (Current): MSAs as defined by US OMB in 2023Metropolitan Statistical Areas (2010s): MSAs as defined by US OMB in 2013Metropolitan Statistical Areas (2000s): MSAs as defined by US OMB in 2003Region: Three broad regions in North Carolina (Eastern, Western, Central)Council of GovernmentsProsperity Zones: NC Department of Commerce Prosperity ZonesNCDOT Divisions: NC Dept. of Transportation DivisionsNCDOT Districts (within Divisions)Metro Regions: Identifies Triangle, Triad, Charlotte, All Other Metros, & Non-MetropolitanUrban/Rural defined by:NC Rural Center (Urban, Regional/Suburban, Rural) - 2020 Census designations2010 Census (Urban = Counties with 50% or more population living in urban areas in 2010)2010 Census Urbanized (Urban = Counties with 50% or more of the population living in urbanized areas in 2010 (50,000+ sized urban area))Municipal Population - State Demographer (Urban = counties with 50% or more of the population living in a municipality as of July 1, 2019)Isserman Urban-Rural Density Typology

USNG is standard that established a nationally consistent grid reference system. It provides a seamless plane coordinate system across jurisdictional boundaries and map scales; it enables precise position referencing with GPS, web map portals, and hardcopy maps. USNG enables a practical system of geoaddresses and a universal map index. This data resides in the GCS 1983 coordinate system and is most suitable for viewing over North America.

The data is separated into three groups, Small Scale Grids, 1000m Grids, and 100m Grids. The small scale grid group contains grids shown at smaller scales including the 6 x 8 decimal degree grids, the 100000m grids, and the 10000m grids. The 1000m grid group shows 1,000 meter grid squares. Due to the large volume of 1000m data, the 1000m grids are separate into UTM zones. This speeds up the querying time of the 1000m grids. The 100m grid group contains 100m grids for various metropolitan area in the U.S. and Puerto Rico. These metropolitan areas are further separate into time zones so it's easier to navigate through the Table of Contents to find a metro area.

Data Source: Open Data DC and American Community Survey (ACS) 1-Year Estimates.

Why This Matters

Public transportation is critical for connecting people to work opportunities and basic services such as groceries and healthcare. For some, public transportation might be the only option for getting to these destinations.

The availability of frequent transit also benefits traffic safety. Traveling by bus is over three times safer than traveling by car, while also reducing the number of collisions with pedestrians and cyclists.

Nationally, Black, Indigenous, and people of color (BIPOC) communities disproportionately rely on public transit. In many U.S. cities, these communities also disproportionately face less frequent service and longer public transit commute times, which can create barriers to essential opportunities and services and negatively affect health and quality of life.

The District Response

The District Government provides significant funding to the Washington Metropolitan Area Transit Authority (WMATA or “Metro”) to provide rail and bus services. Metrorail provides over 600,000 trips a day and is the second busiest rail system in the United States. Metrobus provides over 400,000 trips a day and is the sixth busiest bus system in the United States.

The District Department of Transportation’s Kids Ride Free Program allows District residents who are ages 5 through 21 and enrolled in a school within the District to ride free on Metrobus, Metrorail, and the DC Circulator while traveling within the District

The District Government is currently replacing all bus shelters to improve safety and comfort while waiting for the bus to arrive.

This interactive map uses almost 300 data variables at the zip code geography for metro Atlanta. The data includes the U.S. Census Bureau 2010 Decennial Census and the latest American Community Survey (2011-2015), business and establishment data (from the Census Zip Code Business Patterns), Earned Income Tax Credit usage (from Brookings and IRS) and data from Zillow about home sales prices and negative equity. The map uses the Weave interactive platform, which allows the user to select data variables and customize related data visualizations (charts/graphs).

The Metro Region Explorer is an interactive map showing population, housing, and employment trends within the tri-state New York City metropolitan region, and sharing key insights about how the region has changed from 2000 to today.Developed in collaboration between DCP Planning Labs and DCP Regional Planning, this tool will be maintained as part of our ongoing commitment to the public access and understand information about planning issues affecting NYC and the metro region.Check back for new data additions and map updates. To let us know how this app could be better, add a GitHub issue or send a tweet to @NYCPlanningLabs. If you have questions about the data and analysis, send an email to regional@planning.nyc.gov

The Localized Flood Map for Climate Vulnerability Screening layer shows potential surface flooding locations in the landscape for the Twin Cities Metro area. These locations, called bluespots, are areas that may be subject to flood during short-term, extreme rain events. The Council's local flood screening tool uses information about the topography of the earth contained in the State of Minnesota's 3-meter digital elevation model (DEM) built from the state's LiDAR effort. Localized flooding locations are determined solely based on depressions in the DEM; no data of existing stormwater infrastructure is considered because this information does not currently exist at a regional scale. This layer should only be used as a screening tool. A low spot shown as a bluespot on this map does not indicate that the area will definitively flood; instead, the area has the potential to flood if a rain event is intense enough and stormwater infrastructure not sufficient.

For more information, visit the Council's Climate Vulnerability Assessment website at: www.metrocouncil.org/cva.

Users can obtain descriptions, maps, profiles, and ranks of U.S. metropolitan areas pertaining to quality of life, diversity, and opportunities for racial and ethnic groups in the U.S. BackgroundThe Diversity Data project operates a website for users to explore how U.S. metropolitan areas perform on evidence-based social measures affecting quality of life, diversity and opportunity for racial and ethnic groups in the United States. These indicators capture a broad definition of quality of life and health, including opportunities for good schools, housing, jobs, wages, health and social services, and safe neighborhoods. This is a useful resource for people inter ested in advocating for policy and social change regarding neighborhood integration, residential mobility, anti-discrimination in housing, urban renewal, school quality and economic opportunities. The Diversity Data project is an ongoing project of the Harvard School of Public Health (Department of Society, Human Development and Health). User FunctionalityUsers can obtain a description, profile and rank of U.S. metropolitan areas and compare ranks across metropolitan areas. Users can also generate maps which demonstrate the distribution of these measures across the United States. Demographic information is available by race/ethnicity. Data NotesData are derived from multiple sources including: the U.S. Census Bureau; National Center for Health Statistics' Vital Statistics Natality Birth Data; Natio nal Center for Education Statistics; Union CPS Utilities Data CD; National Low Income Housing Coalition; Freddie Mac Conventional Mortgage Home Price Index; Neighborhood Change Database; Joint Center for Housing Studies of Harvard University; Federal Financial Institutions Examination Council Home Mortgage Disclosure Act (HMD); Dr. Russ Lopez, Boston University School of Public Health, Department of Environmental Health; HUD State of the Cities Data Systems; Agency for Healthcare Research and Quality; and Texas Transportation Institute. Years in which the data were collected are indicated with the measure. Information is available for metropolitan areas. The website does not indicate when the data are updated.

The National Mine Map Repository (NMMR) maintains point locations for mines appearing on maps within its archive. This dataset is intended to help connect the Office of Surface Mining Reclamation and Enforcement, other federal, state, and local government agencies, private industry, and the general public with archived mine maps in the NMMR's collection. The coordinates for mine point locations represent the best information the NMMR has for the location of the mine. As much as possible, the NMMR strives to find precise locations for all historic mines appearing on mine maps. When this is not possible, another feature as close to the mine as is known is used. This information is reflected in the mine point symbols. However, the NMMR cannot guarantee the accuracy of mine point locations or any other information on or derived from mine maps. The NMMR is part of the United States Department of the Interior, Office of Surface Mining Reclamation and Enforcement (OSMRE). The mission of the NMMR is to preserve abandoned mine maps, to correlate those maps to the surface topography, and to provide the public with quality map products and services. It serves as a point of reference for maps and other information on surface and underground coal, metal, and non-metal mines from throughout the United States. It also serves as a location to retrieve mine maps in an emergency. Some of the information that can be found in the repository includes: Mine and company names, Mine plans including mains, rooms, and pillars, Man-ways, shafts, and mine surface openings. Geological information such as coal bed names, bed thicknesses, bed depths and elevations, bed outcrops, drill-hole data, cross-sections, stratigraphic columns, and mineral assays. Geographical information including historic railroad lines, roads, coal towns, surface facilities and structures, ponds, streams, and property survey lines, gas well and drill-hole locations. Please note: Map images are not available for download from this dataset. They can be requested by contacting NMMR staff and providing them with the desired Document Numbers. NMMR staff also have additional search capabilities and can fulfill more complex requests if necessary. See the NMMR website homepage for contact information: https://www.osmre.gov/programs/national-mine-map-repository. There is no charge for noncommercial use of the maps. Commercial uses will incur a $46/hour research fee for fulfilling requests.

description: This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (oakmf.ps, oakmf.pdf, oakmf.txt), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:24,000 or smaller.; abstract: This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (oakmf.ps, oakmf.pdf, oakmf.txt), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:24,000 or smaller.