This system provides the user with a facility to select a state and county combination to determine if the selected county is part of an Office of Management and Budget (OMB) defined Core Based Statistical Area (CBSA). The system has been updated with OMB area definitions published for FY 2009.

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) System. The MAF/TIGER System 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 TIGERweb REST Services allows users to integrate the Census Bureau's Topologically Integrated Geographic Encoding and Referencing database (TIGER) data into their own GIS or custom web-based applications.For a more detailed description of the areas listed or terms below, refer to TIGER/Line documentation or the Geographic Areas Reference Manual, (GARM).This REST service contains Combined New England City and Town Area (CNECTA), Combined Statistical Area (CSA), Metropolitan Division, Core Based Statistical Areas (CBSA), and New England City and Town Area (NECTA) boundaries.Combined New England City and Town Areas (CNECTAs) consist of two or more adjacent NECTAs that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical areas.

Combined Statistical Areas (CSAs) consist of two or more adjacent CBSAs that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSAs.

Metropolitan Divisions are smaller groupings of counties or equivalent entities within a metropolitan statistical area that contains a single core with 2.5 million inhabitants.

Core Based Statistical Area Codes (CBSA) are the metropolitan statistical areas, micropolitan statistical areas, NECTAs, metropolitan divisions, and NECTA divisions use a 5-character code. Each metropolitan statistical area must have one urbanized area of 50,000 or more inhabitants. Each micropolitan statistical area must have one urban cluster of 10,000 to 49,999 inhabitants.

New England City and Town Area (NECTA) Divisions are smaller groupings of cities and towns within a NECTA that contains a single core with 2.5 million inhabitants. A NECTA Division consists of a main city or town that represents an employment center, as well as adjacent cities and towns associated with the main city or town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more.

Additional resources to obtain Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas are listed below.

Combined New England City and Town Area (CNECTA) Shapefile - https://www2.census.gov/geo/tiger/TIGER2020/CNECTA/

Combined Statistical Area (CSA) Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/CSA/

Metropolitan Division Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/METDIV/

Core Based Statistical Areas (CBSA) Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/CBSA/

New England City and Town Area (NECTA) Shapefile- https://www2.census.gov/geo/tiger/TIGER2020/NECTA/.

The database includes ZIP code, city name, alias city name, state code, phone area code, city type, county name, country FIPS, time zone, day light saving flag, latitude, longitude, county elevation, Metropolitan Statistical Area (MSA), Primary Metropolitan Statistical Area (PMSA), Core Based Statistical Area (CBSA) and census 2000 data on population by race, average household income, and average house value.

Dataset

This dataset was created by haakakak

Contents

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) System. The MAF/TIGER System 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 TIGERweb REST Services allows users to integrate the Census Bureau's Topologically Integrated Geographic Encoding and Referencing database (TIGER) data into their own GIS or custom web-based applications.For a more detailed description of the areas listed or terms below, refer to TIGER/Line documentation or the Geographic Areas Reference Manual, (GARM).This REST service contains Combined New England City and Town Area (CNECTA), Combined Statistical Area (CSA), Metropolitan Division, Core Based Statistical Areas (CBSA), and New England City and Town Area (NECTA) boundaries.Combined New England City and Town Areas (CNECTAs) consist of two or more adjacent NECTAs that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical areas.

Combined Statistical Areas (CSAs) consist of two or more adjacent CBSAs that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSAs.

Metropolitan Divisions are smaller groupings of counties or equivalent entities within a metropolitan statistical area that contains a single core with 2.5 million inhabitants.

Core Based Statistical Area Codes (CBSA) are the metropolitan statistical areas, micropolitan statistical areas, NECTAs, metropolitan divisions, and NECTA divisions use a 5-character code. Each metropolitan statistical area must have one urbanized area of 50,000 or more inhabitants. Each micropolitan statistical area must have one urban cluster of 10,000 to 49,999 inhabitants.

New England City and Town Area (NECTA) Divisions are smaller groupings of cities and towns within a NECTA that contains a single core with 2.5 million inhabitants. A NECTA Division consists of a main city or town that represents an employment center, as well as adjacent cities and towns associated with the main city or town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more.

Additional resources to obtain Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas are listed below.

Combined New England City and Town Area (CNECTA) Shapefile - https://www2.census.gov/geo/tiger/TIGER2020/CNECTA/

Combined Statistical Area (CSA) Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/CSA/

Metropolitan Division Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/METDIV/

Core Based Statistical Areas (CBSA) Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/CBSA/

New England City and Town Area (NECTA) Shapefile- https://www2.census.gov/geo/tiger/TIGER2020/NECTA/.

The 2015 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

               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 boundaries are those defined by OMB based on the 2010 Census and published in 2013.

The Core Based Statistical Areas dataset was updated on September 22, 2025 from the U.S. Department of Commerce, U.S. Census Bureau, Geography Division and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). 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) System (MTS). The MTS 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 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 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 urban areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban areas of at least 10,000 population but less than 50,000 population. The CBSA boundaries are those defined by OMB based on the 2020 Census and published in 2023. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529014

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 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 boundaries are those defined by OMB based on the 2010 Census and published in 2013.

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 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 CBSA boundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2018.

This data collection relates ZIP codes to counties, to standard metropolitan statistical areas (SMSAs), and, in New England, to minor civil divisions (MCDs). The relationships between ZIP codes and other geographical units are based on 1979 boundaries, and changes since that time are not reflected. The Census Bureau used various sources to determine ZIP code-county or ZIP code-MCD relationships. In the cases where the sources were confusing or contradictory as to the geographical boundaries of a ZIP code, multiple ZIP-code records (each representing the territory contained in that ZIP-code area) were included in the data file. As a result, the file tends to overstate the ZIP code-county or ZIP code-MCD crossovers. The file is organized by ZIP code and is a byproduct of data used to administer the 1980 Census. Variables include ZIP codes, post office names, FIPS state and county codes, county or MCD names, and SMSA codes.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..In 2016, changes were made to the languages and language categories presented in tables B16001, C16001, and B16002. For more information, see: 2016 Language Data User note..Geographical restrictions have been applied to Table B16001 - LANGUAGE SPOKEN AT HOME BY ABILITY TO SPEAK ENGLISH FOR THE POPULATION 5 YEARS AND OVER for the 5-year data estimates. These restrictions are in place to protect data privacy for the speakers of smaller languages. Geographic areas published for the 5-year B16001 table include: Nation (010), States (040), Metropolitan Statistical Area-Metropolitan Divisions (314), Combined Statistical Areas (330), Congressional Districts (500), and Public Use Microdata Sample Areas (PUMAs) (795). For more information on these geographical delineations, see the Metropolitan Statistical Area Reference Files. County and tract-level data are no longer available for table B16001; for specific language data for these smaller geographies, please use table C16001. Additional languages are also available in the Public Use Microdata Sample (PUMS), at the State and Public Use Microdata Sample Area (PUMA) levels of geography..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

    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 generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015, 2017, and 2018. Cartographic CBSA's are availiable at the 1:5,000,000, 1:2,0000,000 and 1:500,000 scales

Abstract (en): Extracted from the 2002 Census of Governments, this dataset provides the number of general-purpose local governments in each United States Metropolitan Statistical Area (MSA). Data from Consolidated Metropolitan Statistical Areas (CMSAs) and their component Primary Metropolitan Statistical Areas (PMSAs) are included. There are nine variables in this study. They contain information on locations (city and state); Metropolitan Statistical Areas; population at each location in the year 2000; number of General-Purpose Governments at each location as well as per 100,000 people; water, land, and total area in square miles; and General-Purpose Governments per 100,000 square miles of land area. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Checked for undocumented or out-of-range codes.. Number of General Purpose Local Governments in United States Metropolitan Statistical Areas Smallest Geographic Unit: Metropolitan Statistical Areas

Context

This is the 24th decennial US Census. The data was released on August 12, 2021 to public

Content

The dataset contains 12 GB of complete US Census data of 2020 of all 50 states. Column headers for each state file are given below:

FILEID File Identification STUSAB State/US-Abbreviation (USPS) SUMLEV Summary Level GEOVAR Geographic Variant GEOCOMP Geographic Component CHARITER Characteristic Iteration CIFSN Characteristic Iteration File Sequence Number LOGRECNO Logical Record Number GEOID Geographic Record Identifier GEOCODE Geographic Code Identifier REGION Region DIVISION Division STATE State (FIPS) STATENS State (NS) COUNTY County (FIPS) COUNTYCC FIPS County Class Code COUNTYNS County (NS) COUSUB County Subdivision (FIPS) COUSUBCC FIPS County Subdivision Class Code COUSUBNS County Subdivision (NS) SUBMCD Subminor Civil Division (FIPS) SUBMCDCC FIPS Subminor Civil Division Class Code SUBMCDNS Subminor Civil Division (NS) ESTATE Estate (FIPS) ESTATECC FIPS Estate Class Code ESTATENS Estate (NS) CONCIT Consolidated City (FIPS) CONCITCC FIPS Consolidated City Class Code CONCITNS Consolidated City (NS) PLACE Place (FIPS) PLACECC FIPS Place Class Code PLACENS Place (NS) TRACT Census Tract BLKGRP Block Group BLOCK Block AIANHH American Indian Area/Alaska Native Area/Hawaiian Home Land (Census) AIHHTLI American Indian Trust Land/Hawaiian Home Land Indicator AIANHHFP American Indian Area/Alaska Native Area/Hawaiian Home Land (FIPS) AIANHHCC FIPS American Indian Area/Alaska Native Area/Hawaiian Home Land Class Code AIANHHNS American Indian Area/Alaska Native Area/Hawaiian Home Land (NS) AITS American Indian Tribal Subdivision (Census) AITSFP American Indian Tribal Subdivision (FIPS) AITSCC FIPS American Indian Tribal Subdivision Class Code AITSNS American Indian Tribal Subdivision (NS) TTRACT Tribal Census Tract TBLKGRP Tribal Block Group ANRC Alaska Native Regional Corporation (FIPS) ANRCCC FIPS Alaska Native Regional Corporation Class Code ANRCNS Alaska Native Regional Corporation (NS) CBSA Metropolitan Statistical Area/Micropolitan Statistical Area MEMI Metropolitan/Micropolitan Indicator CSA Combined Statistical Area METDIV Metropolitan Division NECTA New England City and Town Area NMEMI NECTA Metropolitan/Micropolitan Indicator CNECTA Combined New England City and Town Area NECTADIV New England City and Town Area Division CBSAPCI Metropolitan Statistical Area/Micropolitan Statistical Area Principal City Indicator NECTAPCI New England City and Town Area Principal City Indicator UA Urban Area UATYPE Urban Area Type UR Urban/Rural CD116 Congressional District (116th) CD118 Congressional District (118th) CD119 Congressional District (119th) CD120 Congressional District (120th) CD121 Congressional District (121st) SLDU18 State Legislative District (Upper Chamber) (2018) SLDU22 State Legislative District (Upper Chamber) (2022) SLDU24 State Legislative District (Upper Chamber) (2024) SLDU26 State Legislative District (Upper Chamber) (2026) SLDU28 State Legislative District (Upper Chamber) (2028) SLDL18 State Legislative District (Lower Chamber) (2018) SLDL22 State Legislative District (Lower Chamber) (2022) SLDL24 State Legislative District (Lower Chamber) (2024) SLDL26 State Legislative District (Lower Chamber) (2026) SLDL28 State Legislative District (Lower Chamber) (2028) VTD Voting District VTDI Voting District Indicator ZCTA ZIP Code Tabulation Area (5-Digit) SDELM School District (Elementary) SDSEC School District (Secondary) SDUNI School District (Unified) PUMA Public Use Microdata Area AREALAND Area (Land) AREAWATR Area (Water) BASENAME Area Base Name NAME Area Name-Legal/Statistical Area Description (LSAD) Term-Part Indicator FUNCSTAT Functional Status Code GCUNI Geographic Change User Note Indicator POP100 Population Count (100%) HU100 Housing Unit Count (100%) INTPTLAT Internal Point (Latitude) INTPTLON Internal Point (Longitude) LSADC Legal/Statistical Area Descrip...

Summary File 1 (SF1) Urban/Rural Update contains summary statistics on population and housing subjects derived from the responses to the 2010 Census questionnaire. Population items include sex, age, race, Hispanic or Latino origin, household relationship, household type, household size, family type, family size, and group quarters. Housing items include occupancy status, vacancy status, and tenure (whether a housing unit is owner-occupied or renter-occupied). The summary statistics are presented in 333 tables, which are tabulated for multiple levels of observation (called "summary levels" in the Census Bureau's nomenclature), including, but not limited to, regions, divisions, states, metropolitan/micropolitan statistical areas, counties, county subdivisions, places, congressional districts, American Indian Areas, Alaska Native Areas, Hawaiian Home Lands, ZIP Code tabulation areas, census tracts, block groups, and blocks. There are 177 population tables and 58 housing tables shown down to the block level; 84 population tables and 4 housing tables shown down to the census tract level; and 10 population tables shown down to the county level. Some of the summary areas are iterated for "geographic components" or portions of geographic areas, e.g., the principal city of a metropolitan statistical area (MSA) or the urban and rural portions of a MSA. With one variable per table cell and additional variables with geographic information, the collection comprises 2,597 data files, 49 per state, the District of Columbia, Puerto Rico, and the National File. The Census Bureau released SF1 in three stages: initial release, National Update, and Urban/Rural Update. The National Update added summary levels for the United States, regions, divisions, and geographic areas that cross state lines such as Combined Statistical Areas. This update adds urban and rural population and housing unit counts, summary levels for urban areas and the urban/rural components of census tracts and block groups, geographic components involving urbanized areas and urban clusters, and two new tables (household type by relationship for the population 65 years and over and a new tabulation of the total population by race). The initial release and National Update is available as ICPSR 33461. ICPSR supplies this data collection in 54 ZIP archives. There is a separate archive for each state, the District of Columbia, Puerto Rico, and the National File. The last archive contains a Microsoft Access database shell and additional documentation files besides the codebook.

Tabulated statistics of road networks at the level of intersections and for built-up areas for each decade from 1900 to 2010, and for 2015, for each core-based statistical area (CBSA, i.e., metropolitan and micropolitan statistical area) in the conterminous United States. These areas are derived from historical road networks developed by Johannes Uhl. See Burghardt et al. (2022) for details on the data processing.

Spatial coverage: all CBSAs that are covered by the HISDAC-US historical settlement layers. This dataset includes around 2,700 U.S. counties. In the remaining counties, construction year coverage in the underlying ZTRAX data (Zillow Transaction and Assessment Dataset) is low. See Uhl et al. (2021) for details. All data created by Keith A. Burghardt, USC Information Sciences Institute, USA

Codebook: these CBSA statistics are stratified by degree of aggregation. - CBSA_stats_diffFrom1950: Change in CBSA-aggregated patch statistics between 1950 and 2015 - CBSA_stats_by_decade: CBSA-aggregated patch statistics for each decade from 1900-2010 plus 2015 - CBSA_stats_by_decade: CBSA-aggregated cumulative patch statistics for each decade from 1900-2010 plus 2015. All roads created up to a given decade are used for calculating statistics. - Patch_stats_by_decade: Individual patch statistics for each decade from 1900-2010 plus 2015 - Patch_stats_by_decade: Individual cumulative patch statistics for each decade from 1900-2010 plus 2015. All roads created up to a given decade are used for calculating statistics.

The statistics are the following:

msaid: CBSA code id: (if patch statistics) arbitrary int unique to each patch within the CBSA that year year: year of statistics pop: population within all CBSA counties patch_bupr: built up property records (BUPR) within a patch (or sum of patches within CBSA) patch_bupl: built up property l (BUPL) within a patch (or sum of patches within CBSA) patch_bua: built up area (BUA) within a patch (or sum of patches within CBSA) all_bupr: Same as above but for all data in 2015 regardless of whether properties were in patches all_bupl: Same as above but for all data in 2015 regardless of whether properties were in patches all_bua: Same as above but for all data in 2015 regardless of whether properties were in patches num_nodes: number of nodes (intersections) num_edges: number of edges (roads between intersections) distance: total road length in km k_mean: mean number of undirected roads per intersection k1: fraction of nodes with degree 1 k4plus: fraction of nodes with degree 4+ bearing: histogram of different bearings between intersections entropy: entropy of bearing histogram mean_local_gridness: Griddedness used in text mean_local_gridness_max: Same as griddedness used in text but assumes we can have up to 3 quadrilaterals for degree 3 (maximum possible, although intersections will not necessarily create right angles)

Code available at https://github.com/johannesuhl/USRoadNetworkEvolution.

References: Burghardt, K., Uhl, J., Lerman, K., & Leyk, S. (2022). Road Network Evolution in the Urban and Rural United States Since 1900. Computers, Environment and Urban Systems 95: 101803.
doi: 10.1016/j.compenvurbsys.2022.101803

This collection contains two types of records. Record 1 provides the number of workers identified by county of residence and county of employment. In the case of the six New England states (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), cities and towns rather than counties are the unit of geography. Record 2 correlates the metropolitan area codes used in Record 1 with their alphabetic names and Metropolitan Statistical Area/Primary Metropolitan Statistical Area (MSA/PMSA) designations.

This data collection is a component of Summary Tape File (STF) 3, which consists of four sets of data files containing detailed tabulations of the nation's population and housing characteristics produced from the 1980 Census. The STF 3 files contain sample data inflated to represent the total United States population. The files also contain 100-percent counts and unweighted sample counts of persons and housing units. All files in the STF 3 series are identical, containing 321 substantive data variables organized in the form of 150 "tables," as well as standard geographic identification variables. Population items tabulated for each person include demographic data and information on schooling, Spanish origin, language spoken at home and ability to speak English, labor force status in 1979, residency in 1975, number of children ever born, means of transportation to work, current occupation, industry, and 1979 details on occupation, hours worked, and income. Housing items include size and condition of the housing unit as well as information on value, age, water, sewage and heating, number of vehicles, and monthly owner costs (e.g., sum of payments for real estate taxes, property insurance, utilities, and regular mortgage payments). Selected aggregates and medians are also provided. Each dataset in STF 3 provides different geographic coverage. Summary Tape File 3B provides summaries for each 5-digit ZIP-code area within a state, and for 5-digit ZIP-code areas within states that were contained within Standard Metropolitan Statistical Areas (SMSAs), portions of SMSAs, or within counties, county portions, or county equivalents. All persons and housing units in the United States were sampled. Population and housing items include household relationship, sex, race, age, marital status, Hispanic origin, number of units at address, complete plumbing facilities, number of rooms, whether owned or rented, vacancy status, and value for noncondominiums. The Census Bureau's machine-readable data dictionary for STF 3 is also available through CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: CENSUS SOFTWARE PACKAGE (CENSPAC) VERSION 3.2 WITH STF4 DATA DICTIONARIES (ICPSR 7789), the software package designed specifically by the Census Bureau for use with the 1980 Census data files.

File provides the capability of assigning geographic codes (State, County, and Place) to records containing ZIP Code, post office name, and State abbreviation

This version has been updated to include codes for metropolitan statistical areas (MSA's) defined as of 6/30/87, and codes for counties and places in existence as of 1/1/87

Fifty states, the District of Columbia, and Puerto Rico

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission to represent the United States Census Bureau's 2000 Decennial Census at the block group geography.Attributes:FIPSSTCO = The Federal Information Processing Series (FIPS) state and county codes. FIPS codes were formerly known as Federal Information Processing Standards codes, until the National Institute of Standards and Technology (NIST) announced its decision in 2005 to remove geographic entity codes from its oversight. The Census Bureau continues to maintain and issue codes for geographic entities covered under FIPS oversight, albeit with a revised meaning for the FIPS acronym. Geographic entities covered under FIPS include states, counties, congressional districts, core based statistical areas, places, county subdivisions, subminor civil divisions, consolidated cities, and all types of American Indian, Alaska Native, and Native Hawaiian areas. FIPS codes are assigned alphabetically according to the name of the geographic entity and may change to maintain alphabetic sort when new entities are created or names change. FIPS codes for specific geographic entity types are usually unique within the next highest level of geographic entity with which a nesting relationship exists. For example, FIPS state, congressional district, and core based statistical area codes are unique within nation; FIPS county, place, county subdivision, and subminor civil division codes are unique within state. The codes for American Indian, Alaska Native, and Native Hawaiian areas also are unique within state; those areas in multiple states will have different codes for each state.TRACT = Census Tract Codes and Numbers. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.GROUP_ = Block Group Codes. Block Groups have a valid code range of 0 through 9. Block Groups beginning with a zero only contain water area and are generally in coastal and Great Lakes water and territorial seas, but also in larger inland water bodies. STFID = A concatenation of FIPSSTCO, TRACT, and GROUP_, which creates the entire FIPS code for this geography.POP100 = The population of the Block Group at the time of the census.HU100 = The number of housing units in the Block group at the time of the census.WFD = Workforce Development Area (WFD) is a seven-county area created by agreement of county chief-elected officials, administered by the Atlanta Regional Commission and funded for training and employment activities under the federal Workforce Investment Act (WIA). For more information on ARC’s Workforce Development programs and services please consult www.atlantaregional.com/workforce/workforce.html.RDC_AAA = ARC Area Agency on Aging is a 10-county area funded by the Department of Human Resources and designated by the Older Americans Act to plan for the needs of the rapidly expanding group of older citizens in the Atlanta region. It is part of a statewide network of 12 AAAs and a national network of more than 670 AAAs. For more information on aging services please consult www.agewiseconnection.com.MNGWPD = The Metro North Georgia Water Planning District provides water resource plans, policies and coordination for metropolitan Atlanta. The District has developed regional plans for stormwater management, wastewater treatment and water supply and water conservation. The 15-county Water Planning District includes the ten counties in the ARC plus five additional counties (Bartow, Coweta, Forsyth, Hall, & Paulding). For more information please consult www.northgeorgiawater.org. MPO = The Metropolitan Planning Organization (MPO) is a 19-county area federally-designated for regional transportation planning to meet air quality standards and for programming projects to implement the adopted Regional Transportation Plan (RTP). The MPO planning area boundary includes the 10-county state-designated Regional Commission and nine additional counties (all of Coweta, Forsyth, & Paulding and parts of Barrow, Dawson, Newton, Pike, Spalding and Walton). This boundary takes into consideration both the current urbanized area as well as areas forecast to become urbanized in the next 20 years.MSA = the 29-County “Atlanta-Sandy Springs-Roswell, GA” Metropolitan Statistical Area (MSA) and the 39-county “Atlanta--Athens-Clarke County--Sandy Springs, GA” Combined Statistical Area (CSA), which includes the 29 counties of the Atlanta MSA along with the Athens-Clarke County and Gainesville MSAs and the micropolitan statistical areas of Calhoun, Cedartown, Jefferson, LaGrange and Thomaston, GA. The U.S. Office of Management and Budget (OMB) defines CSAs, MSAs and the smaller micropolitan statistical areas nationwide according to published standards applied to U.S. Census Bureau data. These various statistical areas describe substantial core areas of population together with adjacent communities having a high degree of economic and social integration, often illustrated in high rates of commuting from the adjacent areas to job locations in the core. For more information, please consult http://www.census.gov/population/metro/data/metrodef.htmlF1HR_NA = The Federal 1-Hour Air Quality Non-Attainment Area is a fine particulate matter standard (PM2.5). The non-attainment area under this standard includes the 15-county eight-hour ozone nonattainment area plus Barrow, Carroll, Hall, Spalding, Walton, and small parts of Heard and Putnam counties.F8HR_NA: The Federal 8-Hour Air Quality Non-Attainment Area for the 2008 eight-hour ozone standard is 15 counties.ACRES = The number of acres contained within the Block Group.SQ_MILES = The number of square miles contained within the Block Group.Source: United States Census Bureau, Atlanta Regional CommissionDate: 2000For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.