100+ datasets found
  1. Market Saturation & Utilization Core-Based Statistical Areas

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated May 24, 2025
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    Centers for Medicare & Medicaid Services (2025). Market Saturation & Utilization Core-Based Statistical Areas [Dataset]. https://catalog.data.gov/dataset/market-saturation-utilization-core-based-statistical-areas-9b494
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    Dataset updated
    May 24, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Market Saturation and Utilization Core-Based Statistical Areas (CBSA) dataset provides monitoring of market saturation as a means to help prevent potential fraud, waste, and abuse (FWA). CBSAs are geographical delineations that are Census Bureau-defined urban clusters of at least 10,000 people. Market saturation, in the present context, refers to the density of providers of a particular service within a defined geographic area relative to the number of beneficiaries receiving that service in the area. The data can be used to reveal the degree to which use of a service is related to the number of providers servicing a geographic region. There are also a number of secondary research uses for these data, but one objective of making these data public is to assist health care providers in making informed decisions about their service locations and the beneficiary population they serve. The interactive dataset can be filtered and analyzed on the site or downloaded in Excel format.

  2. a

    Neighborhood Statistical Areas

    • richmond-geo-hub-cor.hub.arcgis.com
    • data.richmondgov.com
    Updated Nov 4, 2019
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    City of Richmond, VA (2019). Neighborhood Statistical Areas [Dataset]. https://richmond-geo-hub-cor.hub.arcgis.com/datasets/neighborhood-statistical-areas
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    Dataset updated
    Nov 4, 2019
    Dataset authored and provided by
    City of Richmond, VA
    Area covered
    Description

    The City needed geographical area definitions that were homogenous and non-political. The preexisting Neighborhoods feature class was defined to maintain homogenous areas of the City, but they were determined to be too discrete and numerous. Pertaining to size as well, it was believed that the geographical areas should not be so large, as to group together areas of the City that were dissimilar in character. Of particular importance, it was also a requirement that NSA geography was designed to permit analysis using Census data.It was decided by the Planning Dept that adhering to Census Block Groups was the best approach. It was also determined that attempts to approximate the Planning Districts would also be beneficial. The approach to defining the NSAs was as follows: a) 2010 Census Block Groups were merged together to create each individual NSA, b) they were grouped in ways to maximize the ability to share boundaries with existing Planning Districts were ever possible. While most NSAs lie almost entirely within one Planning District, some NSAs are pretty equally split between two planning districts (notably D-1). In the case of D-1, PDR arbitrarily decided to put it with the other ‘Downtown’ NSAs.The identification/naming of the NSAs was based upon the Planning Districts they most corresponded to, along with a sequential numbering assignment. Most NSA lie almost entirely within one Planning District, and where named from that Planning District. Names starting with "NO" are mostly in the North planning district; "NW" are mostly in the Near West planning district; "BR" are mostly in the Broad Rock planning district, etc... There’s no significance for the number following the planning district lettering used by NSAs (NO-1, NO-2, NO-3, etc). The number was just randomly assigned to further uniquely define the area subdivided within the Planning District, and has no relationship in terms to square area, population density, or anything.

  3. TIGER/Line Shapefile, Current, State, Virginia, Census Tract

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, State, Virginia, Census Tract [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-virginia-census-tract
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    This resource is a member of a series. 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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  4. V

    Hampton Roads MSA 2023

    • data.virginia.gov
    Updated Sep 11, 2023
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    Hampton Roads PDC & Hampton Roads TPO (2023). Hampton Roads MSA 2023 [Dataset]. https://data.virginia.gov/dataset/hampton-roads-msa-2023
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    zip, csv, kml, geojson, arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Sep 11, 2023
    Dataset provided by
    HRPDC & HRTPO
    Authors
    Hampton Roads PDC & Hampton Roads TPO
    Area covered
    Hampton Roads
    Description

    Virginia Beach-Chesapeake-Norfolk, VA-NC Metropolitan Statistical Area. Effective July 2023.

  5. Comprehensive Care for Joint Replacement Model: Metropolitan Statistical...

    • catalog.data.gov
    • data.virginia.gov
    • +1more
    Updated Apr 27, 2025
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    Centers for Medicare & Medicaid Services (2025). Comprehensive Care for Joint Replacement Model: Metropolitan Statistical Areas [Dataset]. https://catalog.data.gov/dataset/comprehensive-care-for-joint-replacement-model-metropolitan-statistical-areas-500f8
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    Dataset updated
    Apr 27, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Comprehensive Care for Joint Replacement Model: Metropolitan Statistical Areas (MSAs) dataset presents MSAs that are participating in the CMS Innovation Center Comprehensive Care for Joint Replacement Model, a model to support better and more efficient care for beneficiaries undergoing the most common inpatient surgery for Medicare beneficiaries: hip and knee replacements. Participation in this model is designated by geographic area, specifically MSAs. The information contained in the dataset can include MSA identification number, MSA geographic name and associated county or counties.

  6. F

    U.S. Granted Utility Patents Originating in Non Metro/Micropolitan...

    • fred.stlouisfed.org
    json
    Updated Apr 6, 2021
    + more versions
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    (2021). U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in Virginia [Dataset]. https://fred.stlouisfed.org/series/PATENTCBSA900951
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    jsonAvailable download formats
    Dataset updated
    Apr 6, 2021
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Virginia
    Description

    Graph and download economic data for U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in Virginia (PATENTCBSA900951) from 2000 to 2015 about rural, patent granted, intellectual property, origination, patents, VA, and USA.

  7. V

    Location Affordability Index - Get Block Groups by Core Based Statistical...

    • data.virginia.gov
    • data.transportation.gov
    • +1more
    html
    Updated May 8, 2024
    + more versions
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    U.S Department of Transportation (2024). Location Affordability Index - Get Block Groups by Core Based Statistical Area (CBSA) [Dataset]. https://data.virginia.gov/dataset/location-affordability-index-get-block-groups-by-core-based-statistical-area-cbsa
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset provided by
    Office of the Secretary of Transportation
    Authors
    U.S Department of Transportation
    Description

    The Location Affordability Index is an indicator of housing and transportation costs at the neighborhood level. It gives the percentage of a given family's income estimated to be spent on housing and transportation costs in a given location for eight different household profiles. It is calculated using actual and modeled data for Census block groups in all 942 Combined Base Statistical Areas, which cover 94% of the U.S. population.

  8. TIGER/Line Shapefile, 2022, State, Virginia, VA, Block Group

    • catalog.data.gov
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, State, Virginia, VA, Block Group [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-virginia-va-block-group
    Explore at:
    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Virginia
    Description

    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. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  9. F

    All Employees: Total Nonfarm in Washington-Arlington-Alexandria, DC-VA-MD-WV...

    • fred.stlouisfed.org
    json
    Updated Mar 29, 2025
    + more versions
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    (2025). All Employees: Total Nonfarm in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMU11479000000000001A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Washington Metropolitan Area, West Virginia, Maryland
    Description

    Graph and download economic data for All Employees: Total Nonfarm in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) (SMU11479000000000001A) from 1990 to 2024 about DC, Washington, MD, WV, nonfarm, VA, employment, and USA.

  10. a

    Neighborhood Statistical Areas

    • hub.arcgis.com
    • geohub.nnva.gov
    Updated Aug 22, 2022
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    City of Newport News (2022). Neighborhood Statistical Areas [Dataset]. https://hub.arcgis.com/maps/nngov::neighborhood-statistical-areas
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    Dataset updated
    Aug 22, 2022
    Dataset authored and provided by
    City of Newport News
    Area covered
    Description

    This polygon feature class contains Neighborhood Statistical Areas (NSAs) based on Census Tracts within Newport News, Virginia.. There are relatively permanent statistical subdivisions of a county or statistically equivalent entity delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. For more information on NSAs, visit the US Census Bureau.

  11. TIGER/Line Shapefile, 2022, State, Virginia, VA, Place

    • datasets.ai
    • catalog.data.gov
    23, 55, 57
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    U.S. Census Bureau, Department of Commerce, TIGER/Line Shapefile, 2022, State, Virginia, VA, Place [Dataset]. https://datasets.ai/datasets/tiger-line-shapefile-2022-state-virginia-va-place
    Explore at:
    55, 57, 23Available download formats
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    Virginia
    Description

    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. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2022 BAS as well.

  12. F

    Unemployment Rate in Roanoke, VA (MSA)

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
    + more versions
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    (2025). Unemployment Rate in Roanoke, VA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ROAN251UR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Roanoke, Virginia, Roanoke, VA Metropolitan Statistical Area
    Description

    Graph and download economic data for Unemployment Rate in Roanoke, VA (MSA) (ROAN251UR) from Jan 1990 to May 2025 about Roanoke, VA, unemployment, rate, and USA.

  13. F

    Civilian Labor Force in Richmond, VA (MSA)

    • fred.stlouisfed.org
    json
    Updated Apr 29, 2025
    + more versions
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    (2025). Civilian Labor Force in Richmond, VA (MSA) [Dataset]. https://fred.stlouisfed.org/series/LAUMT514006000000006A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Richmond, Virginia
    Description

    Graph and download economic data for Civilian Labor Force in Richmond, VA (MSA) (LAUMT514006000000006A) from 1990 to 2024 about Richmond, civilian, VA, labor force, labor, household survey, and USA.

  14. A

    2015 State Geodatabase for Virginia

    • data.amerigeoss.org
    • data.wu.ac.at
    html, pdf, zip
    Updated Jul 31, 2019
    + more versions
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    United States[old] (2019). 2015 State Geodatabase for Virginia [Dataset]. https://data.amerigeoss.org/fr/dataset/2015-state-geodatabase-for-virginia
    Explore at:
    pdf, zip, htmlAvailable download formats
    Dataset updated
    Jul 31, 2019
    Dataset provided by
    United States[old]
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Virginia
    Description

    The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The geodatabases include feature class layers of information for the fifty states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). The geodatabases do not contain any sensitive data. The 2015 TIGER Geodatabases are designed for use with Esriâ s ArcGIS.

            The 2015 State Geodatabase for Virginia contains multiple layers. These layers are the Block, Block Group, Census Designated Place, Census Tract,
            County Subdivision and Incorporated Place layers.
    
            Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered
            within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same
            decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that
            census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and
            Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses
            county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban
            areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release
            are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. 
    
            The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to
            previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people.
            When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living
            conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by
            highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to
            population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable
            features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to
            allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and
            county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may
            consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities
            that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that
            include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American
            Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little
            or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial
            park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area. 
    
            An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD),
            which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state,
            but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have
            other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated
            to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state
            in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide
            with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial
            census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily
            have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. 
    
            The boundaries of most incorporated places in this shapefile are as of January 1, 2013, as reported through the Census Bureau's Boundary and
            Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also included. The boundaries
            of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.
    
            The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no
            counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The
            latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri,
            Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary
            divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data
            presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data
            presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto
            Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin
            Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for
            counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and
            Annexation Survey (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.
    
            County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include
            legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census,
            the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs
            for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical
            unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county
            subdivisions. The boundaries of most legal MCDs are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey
            (BAS). The boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas
            Program (PSAP) for the 2010 Census.
    
  15. TIGER/Line Shapefile, 2021, State, Virginia, 2020 Census Blocks

    • catalog.data.gov
    Updated Nov 1, 2022
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, State, Virginia, 2020 Census Blocks [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-state-virginia-2020-census-blocks
    Explore at:
    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Virginia
    Description

    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. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

  16. T

    U.S. Granted Utility Patents Originating in Non Metro/Micropolitan...

    • cdn.tradingeconomics.com
    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 6, 2024
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    TRADING ECONOMICS (2024). U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in West Virginia [Dataset]. https://cdn.tradingeconomics.com/united-states/us-granted-utility-patents-originating-in-non-metromicropolitan-statistical-areas-in-west-virginia-fed-data.html
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 6, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    West Virginia
    Description

    U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in West Virginia was 14.00000 Number in January of 2015, according to the United States Federal Reserve. Historically, U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in West Virginia reached a record high of 28.00000 in January of 2003 and a record low of 5.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in West Virginia - last updated from the United States Federal Reserve on June of 2025.

  17. V

    LAUS Estimates - DC-VA-MD-WV Metropolitan Statistical Area

    • data.virginia.gov
    csv
    Updated Mar 14, 2024
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    Datathon 2024 (2024). LAUS Estimates - DC-VA-MD-WV Metropolitan Statistical Area [Dataset]. https://data.virginia.gov/dataset/laus-estimates-dc-va-md-wv-metropolitan-statistical-area
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    csv(23213)Available download formats
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    Datathon 2024
    Area covered
    West Virginia
    Description

    Employment and unemployment estimates reported from the Local Area Unemployment Statistics (LAUS) program from 2014-2-24. Area: Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area

  18. g

    TIGER/Line Shapefile, 2020, State, Virginia, 2020 Census Block | gimi9.com

    • gimi9.com
    Updated Aug 20, 2014
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    (2014). TIGER/Line Shapefile, 2020, State, Virginia, 2020 Census Block | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_tiger-line-shapefile-2020-state-virginia-2020-census-block
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    Dataset updated
    Aug 20, 2014
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Virginia
    Description

    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. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

  19. Virginia City Boundary, Storey County, 2015, U.S. Census Bureau

    • catalog.data.gov
    Updated Feb 25, 2025
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch (Point of Contact, Publisher) (2025). Virginia City Boundary, Storey County, 2015, U.S. Census Bureau [Dataset]. https://catalog.data.gov/dataset/virginia-city-boundary-storey-county-2015-u-s-census-bureau12
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Virginia City, United States, Storey County
    Description

    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. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of all incorporated places are as of January 1, 2013 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. NDEP extracted the Virginia City Census-Designated Place boundary polygon from the TIGER/Line database in 2020.

  20. F

    All Employees: Trade, Transportation, and Utilities in Virginia...

    • fred.stlouisfed.org
    json
    Updated Jul 19, 2025
    + more versions
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    (2025). All Employees: Trade, Transportation, and Utilities in Virginia Beach-Chesapeake-Norfolk, VA-NC (MSA) [Dataset]. https://fred.stlouisfed.org/series/VIRG251TRADN
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    jsonAvailable download formats
    Dataset updated
    Jul 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Virginia Beach, Norfolk, North Carolina, Chesapeake, Virginia
    Description

    Graph and download economic data for All Employees: Trade, Transportation, and Utilities in Virginia Beach-Chesapeake-Norfolk, VA-NC (MSA) (VIRG251TRADN) from Jan 1990 to Jun 2025 about Virginia Beach, utilities, trade, transportation, VA, NC, employment, and USA.

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Centers for Medicare & Medicaid Services (2025). Market Saturation & Utilization Core-Based Statistical Areas [Dataset]. https://catalog.data.gov/dataset/market-saturation-utilization-core-based-statistical-areas-9b494
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Market Saturation & Utilization Core-Based Statistical Areas

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 24, 2025
Dataset provided by
Centers for Medicare & Medicaid Services
Description

The Market Saturation and Utilization Core-Based Statistical Areas (CBSA) dataset provides monitoring of market saturation as a means to help prevent potential fraud, waste, and abuse (FWA). CBSAs are geographical delineations that are Census Bureau-defined urban clusters of at least 10,000 people. Market saturation, in the present context, refers to the density of providers of a particular service within a defined geographic area relative to the number of beneficiaries receiving that service in the area. The data can be used to reveal the degree to which use of a service is related to the number of providers servicing a geographic region. There are also a number of secondary research uses for these data, but one objective of making these data public is to assist health care providers in making informed decisions about their service locations and the beneficiary population they serve. The interactive dataset can be filtered and analyzed on the site or downloaded in Excel format.

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