27 datasets found
  1. TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code...

    • catalog.data.gov
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-nation-u-s-2020-census-5-digit-zip-code-tabulation-area-zcta5
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2020 Census.

  2. TIGER Road Network

    • search.dataone.org
    Updated Oct 14, 2013
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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.

  3. g

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

    • datasearch.gesis.org
    v1
    Updated Aug 5, 2015
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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. a

    Data from: Combined Statistical Areas

    • hifld-geoplatform.opendata.arcgis.com
    Updated Apr 4, 2018
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    GeoPlatform ArcGIS Online (2018). Combined Statistical Areas [Dataset]. https://hifld-geoplatform.opendata.arcgis.com/datasets/combined-statistical-areas-1
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    Dataset updated
    Apr 4, 2018
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    The TIGER/Line Shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) 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/.

  5. 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]. https://dataone.org/datasets/sha256%3Aff3640157c625e3035ba41749d84dbcd18778409bc66122e8a7fed286b4773c9
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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.

  6. f

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

    • figshare.com
    • plos.figshare.com
    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
    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

    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.

  7. b

    Core Based Statistical Areas

    • geodata.bts.gov
    • catalog.data.gov
    • +2more
    Updated Jul 1, 2008
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    U.S. Department of Transportation: ArcGIS Online (2008). Core Based Statistical Areas [Dataset]. https://geodata.bts.gov/maps/usdot::core-based-statistical-areas
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    Dataset updated
    Jul 1, 2008
    Dataset authored and provided by
    U.S. Department of Transportation: ArcGIS Online
    Area covered
    Description

    The Core Based Statistical Areas boundaries were defined by OMB based on the 2010 Census, and the dataset was updated on August 09, 2019 from the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). 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.

  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
    Area covered
    Puerto Rico
    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. US National Rental Data | 14M+ Records in 16,000+ ZIP Codes | Rental Data...

    • datarade.ai
    .csv, .xls, .txt
    Updated Oct 21, 2024
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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
    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
  10. Household Debt by State, County, and MSA

    • catalog.data.gov
    • catalog-dev.data.gov
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Household Debt by State, County, and MSA [Dataset]. https://catalog.data.gov/dataset/household-debt-by-state-county-and-msa
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    The tables and interactive maps below allow users to explore the ratio of debt to income by state, metropolitan statistical area, and county for each year since 1999. Household debt is calculated from Federal Reserve Bank of New York (FRBNY) Consumer Credit Panel/Equifax Data, and household income is reported by the Bureau of Labor Statistics.

  11. PRIZM NE data for the Baltimore MSA, 2005

    • search.dataone.org
    Updated Oct 14, 2013
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne (2013). PRIZM NE data for the Baltimore MSA, 2005 [Dataset]. https://search.dataone.org/view/knb-lter-bes.148.570
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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

    2005 PRIZM NE data for the Baltimore MSA. PRIZM is the Potential Rating Index by Zip code Markets produced by the Claritas corporation - http://www.clusterbigip1.claritas.com/claritas/Default.jsp. The 2005 edition of the PRIZM dataset uses the New Evolution (NE) codes, which are not compatible with previous versions of PRIZM. PRIZM NE data is clustered at the Segment (66 classes), Social Group (14 classes) and Lifestyle Group (11 classes) level. Refer to the 'Supplemental Information' section and enclosed documentation for more information. The block group boundaries in this dataset are consistent with the BES universal MSA boundary derived from GDT census data.Please refer to the Supplemental Information section and to the metadata enclosures for more information. 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.

  12. f

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

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    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]. https://plos.figshare.com/articles/dataset/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_characteristics_sup_1_sup_/3965499
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    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

    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.

  13. PRIZM data for the MSA, 2003

    • search.dataone.org
    Updated Oct 14, 2013
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne (2013). PRIZM data for the MSA, 2003 [Dataset]. https://search.dataone.org/view/knb-lter-bes.147.570
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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

    2003 PRIZM data for the MSA. PRIZM is the Potential Rating Index by Zip code Markets produced by the Claritas corportation - http://www.clusterbigip1.claritas.com/claritas/Default.jsp. Refer to the enclosed doumentation for more information. The block group boundaries in this dataset are consistent with the BES universal MSA boundary derived from GDT census data. 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.

  14. 2012 Economic Census of Island Areas: IA1200IPRM14 | Island Areas: Industry...

    • data.census.gov
    Updated Feb 27, 2015
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    ECN (2015). 2012 Economic Census of Island Areas: IA1200IPRM14 | Island Areas: Industry Series: Capital Expenditures and Rental Payments for Plant and Equipment by Manufacturing Industry for Puerto Rico and Metropolitan Areas: 2012 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/table/ISLANDAREASIND2012.IA1200IPRM14?q=Audio-Con
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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
    Area covered
    Puerto Rico
    Description

    Release Date: 2015-02-27...Table Name.Island Areas: Industry Series: Capital Expenditures and Rental Payments for Plant and Equipment by Manufacturing Industry for Puerto Rico and Metropolitan Areas: 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- digit NAICS code level and selected 4- and 5- digit NAICS code levels. The data for combined and metropolitan statistical 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. Total capital expenditures (new and used). Capital expenditures on new buildings and other structures. Capital expenditures on new machinery and equipment. Capital expenditures on used buildings. Capital expenditures for used machinery. Depreciation charges. Total rental payments. Rental payments for building and other structures. Rental payments for machinery and equipment. .....Sort Order.Data are presented in ascending NAICS code and geography levels sequence......FTP Download.Download the entire table athttps://www2.census.gov/econ2012/IA/sector00/IA1200IPRM14.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 "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: 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.

  15. Data from: Small Area Fair Market Rents

    • hudgis-hud.opendata.arcgis.com
    • opendata.atlantaregional.com
    • +2more
    Updated Apr 28, 2021
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    Department of Housing and Urban Development (2021). Small Area Fair Market Rents [Dataset]. https://hudgis-hud.opendata.arcgis.com/maps/6458c67bad2a4cc7aa97514ef7ba8a0e
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    Dataset updated
    Apr 28, 2021
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents. Please See HUD’s Small Area FMR Final Rule for additional information regarding the uses of Small Area FMRs.Note that this service does not denote precise SAFMR geographies. Instead, the service utilizes a relationship class to associate the information for each SAFMR with the FMR areas that its ZCTA overlaps. For example, ZCTA 94558 overlaps the Santa Rosa, Napa, and Vallejo-Fairfield MSAs. Selecting that ZCTA will reveal the SAFMR information associated with each FMR area.

      To learn more about the Small Area Fair Market Rents visit: https://www.huduser.gov/portal/datasets/fmr/smallarea/index.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: Fiscal Year 2025Date Update: 01/2025
    
  16. Bivariate associations between HIV negative status and participant...

    • plos.figshare.com
    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.

  17. TIGER/Line Shapefile, 2015, nation, U.S., Current Metropolitan Statistical...

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +2more
    esri rest, html, pdf +3
    Updated Nov 1, 2016
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    US Census Bureau, Department of Commerce (2016). TIGER/Line Shapefile, 2015, nation, U.S., Current Metropolitan Statistical Area/Micropolitan Statistical Area (CBSA) National Shapefile [Dataset]. https://data.wu.ac.at/schema/data_gov/YjNhN2EzZjUtMjdjNy00ZDkxLTk5NjYtYmU0MGMzYjQxODMz
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    html, xml, wms, esri rest, zip, pdfAvailable download formats
    Dataset updated
    Nov 1, 2016
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    License

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

    Area covered
    United States, 98c1ab2a1b5bdaf3782ffef10224aac6133bf215
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

          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.
    
  18. 2012 Economic Census of Island Areas: IA1200IPRC02 | Island Areas: Industry...

    • data.census.gov
    Updated Jul 28, 2015
    + more versions
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    ECN (2015). 2012 Economic Census of Island Areas: IA1200IPRC02 | Island Areas: Industry Series: General Statistics by Construction Industry for Puerto Rico and Metropolitan Areas: 2012 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/table/ISLANDAREASIND2012.IA1200IPRC02?q=BENITEZ%20GENERAL%20CONSTRUCTION
    Explore at:
    Dataset updated
    Jul 28, 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: 2015-07-28...Table Name.Island Areas: Industry Series: General Statistics by Construction Industry for Puerto Rico and Metropolitan Areas: 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 sector 23. 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). .....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-digit NAICS code level. ......Data Items and Other Identifying Records.This file contains data on:. . Number of establishments. Annual payroll. Number of employees. Average number of construction workers. Construction workers wages. Value of construction work. Net value of construction work. Value added. Cost of materials, parts, supplies, electricity, and fuels. Cost of construction work subcontracted out to others. Total capital expenditures. Total rental payments. End-of-year gross value of depreciable assets. .....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/IA1200IPRC02.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: 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: Data for 2012 are based on the 2012 NAICS..Note: The level of geographic detail covered varies for Puerto Rico construction. Refer to business.census.gov for a detailed list of the geographies. Note that table IA1200IPRC02 includes different geographic levels (combined statistical areas (CSA), metropolitan and micropolitan statistical areas (MSA).) Tables IA1200IPRC04 and IA1200IPRC06 - IA1200IPRC11 present data at the municipio level. The Jayuya micropolitan area and the Aguadilla-Isabela metropolitan area are not included in any CSA. The municipios of Culebra, Las Marias, Maricao, and Vieques are not included in any MSA or CSA..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

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

    • data.nasa.gov
    • cmr.earthdata.nasa.gov
    • +4more
    application/rdfxml +5
    Updated Sep 20, 2019
    + more versions
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    (2019). Archive of Census Related Products (ACRP): 1990 Census Block Statistics [Dataset]. https://data.nasa.gov/dataset/Archive-of-Census-Related-Products-ACRP-1990-Censu/pmah-53s6
    Explore at:
    tsv, xml, application/rssxml, json, csv, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 20, 2019
    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).

  20. TIGER/Line Shapefile, Current, State, Texas, Census Tract

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

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

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U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-nation-u-s-2020-census-5-digit-zip-code-tabulation-area-zcta5
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TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5)

Explore at:
Dataset updated
Jan 27, 2024
Dataset provided by
United States Census Bureauhttp://census.gov/
Area covered
United States
Description

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2020 Census.

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