17 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. 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.

  4. B

    ZipCodeWorld gold [United States] edition

    • borealisdata.ca
    • search.dataone.org
    • +1more
    Updated Sep 16, 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
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 16, 2024
    Dataset provided by
    Borealis
    Authors
    Hexasoft Development Sdn. Bhd.:Penang, Malaysia
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.5683/SP3/KKP7TPhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.5683/SP3/KKP7TP

    Time period covered
    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.

  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
    Explore at:
    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. z

    ZIP Code 47272 Profile

    • zip-codes.com
    Updated Nov 1, 2025
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    ZIP-Codes.com (2025). ZIP Code 47272 Profile [Dataset]. https://www.zip-codes.com/zip-code/47272/zip-code-47272.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:47272
    Description

    Demographics, population, housing, income, education, schools, and geography for ZIP Code 47272 (Saint Paul, IN). Interactive charts load automatically as you scroll for improved performance.

  9. 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
    Explore at:
    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

  10. 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
    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

    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.

  11. 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
    Explore at:
    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.

  12. 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
    Explore at:
    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.

  13. 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.

  14. 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.

  15. 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
    Explore at:
    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
    Trinidad and Tobago, Saint Kitts and Nevis, Jamaica, Saint Lucia, Grenada, Bermuda, Turks and Caicos Islands, Virgin Islands, British, United States, Dominica
    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.

  16. 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
    Explore at:
    .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
  17. Zero Emission Vehicle Population in California

    • kaggle.com
    zip
    Updated Sep 21, 2023
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    Natalya Matyushenko (2023). Zero Emission Vehicle Population in California [Dataset]. https://www.kaggle.com/datasets/natalyamatyushenko/zero-emission-vehicle-population-in-california
    Explore at:
    zip(1010324 bytes)Available download formats
    Dataset updated
    Sep 21, 2023
    Authors
    Natalya Matyushenko
    Area covered
    California
    Description

    Vehicle population is updated annually, each April, to reflect the number of vehicles “on the road” during the previous calendar year. Vehicle population counts vehicles whose registration is either current or less than 35 days expired. Sales are higher than population because of vehicle retirements, accidents, owners moving out of state, or other reasons.

    Data as of: December 31, 2022

    Regional Data Categories Map Filter. Data can be reflected at the county, metropolitan statistical area (MSA), or ZIP code level. Individual registrations were assigned to a region based on mailing address, with the following exceptions:

    Out of State: vehicles registered in California with a mailing address in a different state

    ZIP Code “99999”: indicates that the ZIP code in the Vehicle Registration database was invalid

    Unassigned: remote areas not associated with an MSA

    Unknown: Invalid ZIP codes categorized under MSA

    This Data contains information from 2010 to 2022.

    Please note, that columns 'Manufacturer' and 'Model' include Null values since it was less data in 2010-2012 and more data from 2013.

    Examples of Questions you may answer with this Data:

    • What is the trend in the number of Battery Electric Vehicles (BEVs) in California from 2010 to 2022?
    • How has the adoption of Gasoline vehicles changed over the years in California, specifically for Flex Fuel?
    • Which county in California had the highest number of Diesel vehicles in 2010?
    • What is the distribution of Gasoline Hybrid vehicles across California counties in 2020?
    • How many Natural Gas vehicles were registered in California in 2010, and did this number change significantly by 2020?
    • Which car manufacturer produced the most Battery Electric Vehicles (BEVs) in California in 2015?
    • What is the overall trend in the number of Zero Emission Vehicles (ZEVs) in California over the past decade?
    • What is the average number of vehicles per make and model for all Fuel Types in 2019 in California?
    • How has the market share of Battery Electric Vehicles (BEVs) compared to Gasoline vehicles evolved over the years in California?

    Columns: Data Year
    County
    Dashboard Fuel Type Group
    Fuel Type
    Manufacturer
    Model
    Number of Vehicles

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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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