22 datasets found
  1. MSA-by-zip

    • kaggle.com
    zip
    Updated Dec 2, 2020
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    haakakak (2020). MSA-by-zip [Dataset]. https://www.kaggle.com/datasets/haakakak/msabyzip
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    zip(1460960 bytes)Available download formats
    Dataset updated
    Dec 2, 2020
    Authors
    haakakak
    Description

    Dataset

    This dataset was created by haakakak

    Contents

  2. Metropolitan Area Look-Up

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Metropolitan Area Look-Up [Dataset]. https://catalog.data.gov/dataset/metropolitan-area-look-up
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    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.

  3. d

    ZipCodeWorld gold [United States] edition

    • dataone.org
    • borealisdata.ca
    • +1more
    Updated Sep 18, 2024
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    Hexasoft Development Sdn. Bhd.:Penang, Malaysia (2024). ZipCodeWorld gold [United States] edition [Dataset]. http://doi.org/10.5683/SP3/KKP7TP
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    Dataset updated
    Sep 18, 2024
    Dataset provided by
    Borealis
    Authors
    Hexasoft Development Sdn. Bhd.:Penang, Malaysia
    Time period covered
    Jan 1, 2000
    Area covered
    United States
    Description

    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.

  4. g

    Census of Population and Housing, 2010 [United States]: Summary File 1...

    • datasearch.gesis.org
    • icpsr.umich.edu
    v1
    Updated Aug 5, 2015
    + more versions
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    United States Department of Commerce. Bureau of the Census (2015). Census of Population and Housing, 2010 [United States]: Summary File 1 Urban/Rural Update [Dataset]. http://doi.org/10.3886/ICPSR34746.v1
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    v1Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United States Department of Commerce. Bureau of the Census
    Area covered
    United States
    Description

    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.

  5. Characteristics of the ZIP Codes (N = 968), Counties (N = 51), and...

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Characteristics of the ZIP Codes (N = 968), Counties (N = 51), and Metropolitan Statistical Areas (MSAs; N = 19) where the 9,077 participants of the 2009 Centers for Disease Control and Prevention’s National HIV Behavioral Surveillance Lived, by Racial/Ethnic Group1. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey
    License

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

    Description

    Characteristics of the ZIP Codes (N = 968), Counties (N = 51), and Metropolitan Statistical Areas (MSAs; N = 19) where the 9,077 participants of the 2009 Centers for Disease Control and Prevention’s National HIV Behavioral Surveillance Lived, by Racial/Ethnic Group1.

  6. z

    ZIP Code 72324 Profile

    • zip-codes.com
    Updated Nov 1, 2025
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    ZIP-Codes.com (2025). ZIP Code 72324 Profile [Dataset]. https://www.zip-codes.com/zip-code/72324/zip-code-72324.asp
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    Dataset updated
    Nov 1, 2025
    Dataset provided by
    ZIP-Codes.com
    License

    https://www.zip-codes.com/tos-database.asphttps://www.zip-codes.com/tos-database.asp

    Area covered
    PostalCode:72324
    Description

    Demographics, population, housing, income, education, schools, and geography for ZIP Code 72324 (Cherry Valley, AR). Interactive charts load automatically as you scroll for improved performance.

  7. TIGER Road Network

    • search.dataone.org
    Updated Oct 14, 2013
    + more versions
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne (2013). TIGER Road Network [Dataset]. https://search.dataone.org/view/knb-lter-bes.86.570
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    Dataset updated
    Oct 14, 2013
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne
    Time period covered
    Jan 1, 2004 - Nov 17, 2011
    Area covered
    Description

    TIGER road data for the MSA. When compared to high-resolution imagery and other transportation datasets positional inaccuracies were observed. As a result caution should be taken when using this dataset. TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

  8. 2012 Economic Census of Island Areas: IA1200IPRM13 | Island Areas: Industry...

    • data.census.gov
    Updated Feb 27, 2015
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    ECN (2015). 2012 Economic Census of Island Areas: IA1200IPRM13 | Island Areas: Industry Series: Inventories by Stage of Fabrication by Manufacturing Industry for Puerto Rico and Metropolitan Areas: End of 2011 and 2012 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/table/ISLANDAREASIND2012.IA1200IPRM13?q=BRP%20COATINGS
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    Dataset updated
    Feb 27, 2015
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2012
    Description

    Release Date: 2015-02-27...Table Name.Island Areas: Industry Series: Inventories by Stage of Fabrication by Manufacturing Industry for Puerto Rico and Metropolitan Areas: End of 2011 and 2012.....Key Table Information.Refer to Methodology for additional information......Universe.The universe includes all establishments with payroll at any time during 2012, and classified in NAICS sectors 31-33. Data for 2012 are based on the 2012 NAICS Manual......Geography Coverage.The data are shown at the following geographic levels for Puerto Rico:..State-equivalent (ST - Puerto Rico).Combined Statistical Area (CSA).Metropolitan Statistical Area (MSA)..Note: The "Not in metropolitan or micropolitan area, Puerto Rico" category includes Culebra, Las Marías, Maricao, and Vieques municipios which are not part of any CSA or MSA......Industry Coverage.The data are shown for 2- and 3- NAICS code levels and for selected 4- and 5- digit NAICS code levels. The data for combined and metropolitan areas are shown at the 2- and selected 3- digit NAICS code levels.......Data Items and Other Identifying Records.This file contains data on:. . Number of establishments. End-of-year inventories. End-of-year finished goods inventories. End-of-year work-in-process inventories. End-of-year materials and supplies inventories. .Data are shown for 2012 and 2011, ending and beginning inventories by stage of fabrication......Sort Order.Data are presented in ascending NAICS code and levels by year sequence......FTP Download.Download the entire table athttps://www2.census.gov/econ2012/IA/sector00/IA1200IPRM13.zip....Contact Information.U.S. Census Bureau, Economy-Wide Statistics Division.Island Areas and Business Owners Branch.Tel: (301)763-3314.csd.ia@census.gov...Note: Data for 2012 are based on the 2012 NAICS..Note: The level of geographic detail covered varies for Puerto Rico manufacturing. Refer to geography help for a detailed list of the geographies. Note that tables IA1200IPRM02 and IA1200IPRM05 include different geographic levels (combined statistical areas (CSA), metropolitan and micropolitan statistical areas (MSA), and municipios.) Tables IA1200IPRM12 - IA1200IPRM14 present data at the CSAs and MSAs level..Note: The "Not in metropolitan or micropolitan area, Puerto Rico" category includes Culebra, Las Marías, Maricao, and Vieques municipios which are not part of any CSA or MSA..Note: Includes only establishments with payroll. Data based on the 2012 Economic Census of Island Areas. Figures may not add to total due to rounding. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census of Island Areas.Note: The data in this file are based on the 2012 Economic Census of Island Areas. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

  9. 2012 Economic Census of Island Areas: IA1200IPRM02 | Island Areas: Industry...

    • data.census.gov
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    ECN, 2012 Economic Census of Island Areas: IA1200IPRM02 | Island Areas: Industry Series: General Statistics by Manufacturing Industry for Puerto Rico, Metropolitan Areas, and Municipios: 2012 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/table/ISLANDAREASIND2012.IA1200IPRM02?q=Dolmen+Cabinets+Inc
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2012
    Area covered
    Puerto Rico
    Description

    Release Date: 2015-02-27...Table Name.Island Areas: Industry Series: General Statistics by Manufacturing Industry for Puerto Rico, Metropolitan Areas, and Municipios: 2012.....Key Table Information.Refer to Methodology for additional information......Universe.The universe includes all establishments with payroll at any time during 2012, and classified in NAICS sectors 31-33. Data for 2012 are based on the 2012 NAICS Manual......Geography Coverage.The data are shown at the following geographic levels for Puerto Rico:. . State-equivalent (ST - Puerto Rico). Combined Statistical Area (CSA). Metropolitan Statistical Area (MSA). County-equivalent (COUNTY - Municipio). .....Industry Coverage.The data are shown for 2- through 5-digit NAICS code levels for Puerto Rico. The data for combined and metropolitan statistical areas are shown at 2- and selected 3-digit NAICS code levels. The data for municipios are shown at the 2-digit NAICS code (31-33) level.......Data Items and Other Identifying Records.This file contains data on:. . Number of establishments. Annual payroll. First-quarter payroll. Payroll taxes and any other legally required employee benefits. Voluntarily provided benefits. Number of paid employees. Average number of production workers. Production workers wages. Other employees. Total payroll for other employees. Value added. Cost of materials. Capital expenditures. Rental payments. Value of shipments. .....Sort Order.Data are presented in ascending NAICS code and levels sequence......FTP Download.Download the entire table athttps://www2.census.gov/econ2012/IA/sector00/IA1200IPRM02.zip....Contact Information.U.S. Census Bureau, Economy-Wide Statistics Division.Island Areas and Survey of Business Owners Branch.Tel: (301)763-3314.csd.ia@census.gov...Note: Data for 2012 are based on the 2012 NAICS..Note: The level of geographic detail covered varies for Puerto Rico manufacturing. Refer to geography help for a detailed list of the geographies. Note that tables IA1200IPRM02 and IA1200IPRM05 include different geographic levels (combined statistical areas (CSA), metropolitan and micropolitan statistical areas (MSA), and municipios.) Tables IA1200IPRM12 - IA1200IPRM14 present data at the CSAs and MSAs level..Note: Includes only establishments with payroll. Data based on the 2012 Economic Census of Island Areas. Figures may not add to total due to rounding. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census of Island Areas.Note: The data in this file are based on the 2012 Economic Census of Island Areas. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

  10. Census 2000 Blockgroups Atlanta Region

    • opendata.atlantaregional.com
    Updated Oct 29, 2014
    + more versions
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    Georgia Association of Regional Commissions (2014). Census 2000 Blockgroups Atlanta Region [Dataset]. https://opendata.atlantaregional.com/datasets/88e04f30113c4c19a6ccc35714a99c43
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    Dataset updated
    Oct 29, 2014
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    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.

  11. Multivariable hierarchical generalized linear models regressing the odds of...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated Jun 4, 2023
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    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Multivariable hierarchical generalized linear models regressing the odds of HIV negative status on characteristics of the environments where people who inject drugs (N = 9,077) lived when participating in the National HIV Behavioral Surveillance in 20091. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t007
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey
    License

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

    Description

    Multivariable hierarchical generalized linear models regressing the odds of HIV negative status on characteristics of the environments where people who inject drugs (N = 9,077) lived when participating in the National HIV Behavioral Surveillance in 20091.

  12. g

    City reference file, 1987

    • datasearch.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated Jan 22, 2020
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    U.S. Bureau of the Census; United States (2020). City reference file, 1987 [Dataset]. https://datasearch.gesis.org/dataset/httpsdataverse.unc.eduoai--hdl1902.29C-108
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    Dataset updated
    Jan 22, 2020
    Dataset provided by
    Odum Institute Dataverse Network
    Authors
    U.S. Bureau of the Census; United States
    Description

    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

  13. Bivariate associations between HIV negative status and participant...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 3, 2023
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    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Bivariate associations between HIV negative status and participant characteristics1. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey
    License

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

    Description

    Bivariate associations between HIV negative status and participant characteristics1.

  14. f

    Components Generated by the Principal Components Analysis.

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Sep 29, 2016
    + more versions
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    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2016). Components Generated by the Principal Components Analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 29, 2016
    Dataset provided by
    PLOS ONE
    Authors
    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey
    License

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

    Description

    Components Generated by the Principal Components Analysis.

  15. d

    Census Data

    • catalog.data.gov
    • data.globalchange.gov
    • +3more
    Updated Mar 1, 2024
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    U.S. Bureau of the Census (2024). Census Data [Dataset]. https://catalog.data.gov/dataset/census-data
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    U.S. Bureau of the Census
    Description

    The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

  16. B

    AreaCodeWorld gold edition

    • borealisdata.ca
    Updated Dec 23, 2024
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    ZIPCodeWorld.com (2024). AreaCodeWorld gold edition [Dataset]. http://doi.org/10.5683/SP3/WCWQTJ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 23, 2024
    Dataset provided by
    Borealis
    Authors
    ZIPCodeWorld.com
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.5683/SP3/WCWQTJhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.5683/SP3/WCWQTJ

    Time period covered
    2000
    Area covered
    United States, Saint Lucia, Bermuda, Grenada, Saint Kitts and Nevis, Trinidad and Tobago, Turks and Caicos Islands, Virgin Islands, British, Dominica, Jamaica
    Description

    Telecommunications database targeted specifically toward disseminating all valid NPA/NXX combinations in the North American Numbering Plan. It covers all active North American NPA/NXX assignments. Included in the database are NPA (area code), NXX (exchange), country, state, county, latitude, longitude, LATA, time zone, day light saving, population, FIPS, MSA, PMSA, CBSA, ZIP code, Operating Company Number, use type, rate center, COMMON LANGUAGE identifier, and V&H.

  17. T

    Vital Signs: Home Prices by Zip Code (2022)

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Oct 26, 2022
    + more versions
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    (2022). Vital Signs: Home Prices by Zip Code (2022) [Dataset]. https://data.bayareametro.gov/w/t839-7cab/_variation_?cur=zt6r6yE_rVf&from=root
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Oct 26, 2022
    Description

    VITAL SIGNS INDICATOR
    Home Prices (EC7)

    FULL MEASURE NAME
    Home Prices

    LAST UPDATED
    December 2022

    DESCRIPTION
    Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE
    Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
    2000-2021

    California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
    2000-2021

    US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
    2000-2021

    Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
    2000-2021

    US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
    2020 Census Blocks

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of the CPI itself.

  18. n

    Archive of Census Related Products (ACRP): 1990 Census Block Statistics

    • earthdata.nasa.gov
    • cmr.earthdata.nasa.gov
    • +2more
    Updated Dec 31, 1996
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    ESDIS (1996). Archive of Census Related Products (ACRP): 1990 Census Block Statistics [Dataset]. http://doi.org/10.7927/H43X84KH
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    Dataset updated
    Dec 31, 1996
    Dataset authored and provided by
    ESDIS
    Description

    The 1990 Census Block Statistics portion of the Archive of Census Related Products (ACRP) contains population and housing data from the U.S. Census Bureau's 1990 Summary Tape File (STF1B). The population data includes total population, age, race, and hispanic origin, while the housing data comprises number of housing Units, tenure, room density, mean contract rent, mean value, and mean number of rooms. Additional data includes land area, water area, centroids, Metropolitan Statistical Area (MSA) codes, place codes, and special area codes. This portion of the ACRP is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

  19. Bivariate associations between HIV negative status and (a) features of the...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Bivariate associations between HIV negative status and (a) features of the environments where people who inject drugs (N = 9,077) lived when participating in the 2009 National HIV Behavioral Surveillance, and (b) participant characteristics1. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey
    License

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

    Description

    Bivariate associations between HIV negative status and (a) features of the environments where people who inject drugs (N = 9,077) lived when participating in the 2009 National HIV Behavioral Surveillance, and (b) participant characteristics1.

  20. US National Rental Data | 14M+ Records in 16,000+ ZIP Codes | Rental Data...

    • datarade.ai
    .csv, .xls, .txt
    Updated Oct 21, 2024
    + more versions
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    The Warren Group (2024). US National Rental Data | 14M+ Records in 16,000+ ZIP Codes | Rental Data Lease Terms & Pricing Trends [Dataset]. https://datarade.ai/data-products/us-national-rental-data-14m-records-in-16-000-zip-codes-the-warren-group
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    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    The Warren Group
    Area covered
    United States of America
    Description

    What is Rental Data?

    Rental data encompasses detailed information about residential rental properties, including single-family homes, multifamily units, and large apartment complexes. This data often includes key metrics such as rental prices, occupancy rates, property amenities, and detailed property descriptions. Advanced rental datasets integrate listings directly sourced from property management software systems, ensuring real-time accuracy and eliminating reliance on outdated or scraped information.

    Additional Rental Data Details

    The rental data is sourced from over 20,000 property managers via direct feeds and property management platforms, covering over 30 percent of the national rental housing market for diverse and broad representation. Real-time updates ensure data remains current, while verified listings enhance accuracy, avoiding errors typical of survey-based or scraped datasets. The dataset includes 14+ million rental units with detailed descriptions, rich photography, and amenities, offering address-level granularity for precise market analysis. Its extensive coverage of small multifamily and single-family rentals sets it apart from competitors focused on premium multifamily properties.

    Rental Data Includes:

    • Property Types
    • Single-Family Rentals
    • Small Multi-family Units
    • Premium Apartments
    • 16,000+ ZIP Codes
    • 800+ MSAs
    • Pricing Trends
    • Lease Terms Amenities
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haakakak (2020). MSA-by-zip [Dataset]. https://www.kaggle.com/datasets/haakakak/msabyzip
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MSA-by-zip

MSA Name/Code for every zip code in the US

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6 scholarly articles cite this dataset (View in Google Scholar)
zip(1460960 bytes)Available download formats
Dataset updated
Dec 2, 2020
Authors
haakakak
Description

Dataset

This dataset was created by haakakak

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