9 datasets found
  1. 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.

  2. a

    2021 Population Density by Metropolitan Statistical Areas

    • mapdirect-fdep.opendata.arcgis.com
    • gis-fdot.opendata.arcgis.com
    • +1more
    Updated Aug 9, 2023
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    Florida Department of Transportation (2023). 2021 Population Density by Metropolitan Statistical Areas [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/fdot::2021-population-density-by-metropolitan-statistical-areas
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    Dataset updated
    Aug 9, 2023
    Dataset authored and provided by
    Florida Department of Transportation
    Area covered
    Description

    Each year, the Forecasting and Trends Office (FTO) publishes population estimates and future year projections. The population estimates can be used for a variety of planning studies including statewide and regional transportation plan updates, subarea and corridor studies, and funding allocations for various planning agencies. The 2021 population estimates are based on the population estimates developed by the Bureau of Economic and Business Research (BEBR) at the University of Florida. BEBR uses the decennial census count for April 1, 2020, as the starting point for state-level projections. More information is available from BEBR here. This dataset contains boundaries of Metropolitan Statistical Areas (MSA) in the state of Florida with 2021 population density estimates. The MSA delineations used in this dataset were updated in March 2020, based on official standards published in the Federal Register on June 28, 2010 (OMB 17-01). All legal boundaries and names in this dataset are from the US Census Bureau’s TIGER/Line Files (2021). Please see the Data Dictionary for more information on data fields. Data Sources:FDOT FTO 2020 and 2021 Population Estimates by Urbanized Area and CountyUS Census Bureau 2020 Decennial CensusUS Census Bureau’s TIGER/Line Files (2021)Bureau of Economic and Business Research (BEBR) – Florida Estimates of Population 2021 Data Coverage: StatewideData Time Period: 2021 Date of Publication: October 2022 Point of Contact:Dana Reiding, ManagerForecasting and Trends OfficeFlorida Department of TransportationDana.Reiding@dot.state.fl.us605 Suwannee Street, Tallahassee, Florida 32399850-414-4719

  3. n

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

    • cmr.earthdata.nasa.gov
    • data.nasa.gov
    • +4more
    Updated Dec 10, 2024
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    (2024). Archive of Census Related Products (ACRP): 1990 Census Block Statistics [Dataset]. http://doi.org/10.7927/H43X84KH
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    Dataset updated
    Dec 10, 2024
    Time period covered
    Apr 1, 1990
    Area covered
    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).

  4. Duty to Serve: Rural Areas and High Needs Rural Regions Data

    • catalog.data.gov
    Updated Feb 12, 2025
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    Federal Housing Finance Agency (2025). Duty to Serve: Rural Areas and High Needs Rural Regions Data [Dataset]. https://catalog.data.gov/dataset/duty-to-serve-rural-areas-and-high-needs-rural-regionsdata
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    Description

    FHFA's Duty to Serve regulation defines "rural area" as: (i) A census tract outside of an MSA as designated by the Office of Management and Budget (OMB); or (ii) A census tract in an MSA as designated by OMB that is: (A) Outside of the MSA’s Urbanized Areas as designated by the U.S. Department of Agriculture’s (USDA) Rural-Urban Commuting Area (RUCA) Code #1, and outside of tracts with a housing density of over 64 housing units per square mile for USDA’s RUCA Code #2; or (B) A colonia census tract that does not satisfy paragraphs (i) or (ii)(A) of this definition. This data contains both the specific geographies which meet the Rural Areas definition and also the areas defined as “high-needs rural regions”.

  5. U.S. Denver metro area GDP 2001-2022

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. Denver metro area GDP 2001-2022 [Dataset]. https://www.statista.com/statistics/183883/gdp-of-the-denver-metro-area/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the real gross domestic product (GDP) amounted to 249.65 billion U.S. dollars. This was an increase from the previous year when the real GDP came to 239.4 billion U.S. dollars.

    The Denver-Aurora-Broomfield, CO Metropolitan Statistical Area is a United States Census Bureau defined Metropolitan Statistical Area (MSA) in the State of Colorado that includes the City and County of Denver and nine suburban counties. The Denver-Aurora-Broomfield MSA, the Boulder MSA, and the Greeley MSA comprise the larger Denver-Aurora-Boulder Combined Statistical Area. Local residents generally use the term Denver area or Denver metro area which may informally mean anything from the continuously urbanized area within the six central counties of the MSA to the Front Range Urban Corridor north of Colorado Springs and south of Fort Collins.

  6. F

    Median Household Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2024
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    (2024). Median Household Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSA646N
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    jsonAvailable download formats
    Dataset updated
    Sep 11, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2023 about households, median, income, and USA.

  7. a

    HUDQualifiedCensusTracts

    • hub.arcgis.com
    • data-redding.opendata.arcgis.com
    Updated Feb 27, 2017
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    City of Redding GIS (2017). HUDQualifiedCensusTracts [Dataset]. https://hub.arcgis.com/maps/redding::hudqualifiedcensustracts
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    Dataset updated
    Feb 27, 2017
    Dataset authored and provided by
    City of Redding GIS
    Area covered
    Description

    The Low Income Housing Tax Credit (LIHTC) is a tax incentive intended to increase the availability of low income housing. Section 42 provides an income tax credit to owners of newly constructed or substantially rehabilitated low-income rental housing projects. The dollar amount of the LIHTC available for allocation by each state (the "credit ceiling") is limited by population. Each state is allocated credit based on $1.25 per resident. States may carry forward unused or returned credit derived from the credit ceiling for one year; if not used by then, credit goes into a national pool to be allocated to states as additional credit. State and local housing agencies allocate the state's credit ceiling among low-income housing buildings whose owners have applied for the credit. The LIHTC reduces income tax liability. It is taken annually for a term of ten years and is intended to yield a present value of either (1) 70 percent of the "qualified basis" for new construction or rehabilitation that are not federally subsidized (i.e., financed with tax-exempt bonds or below-market federal loans), or (2) 30 percent of the qualified basis for the cost of acquiring certain existing projects or projects that are federally subsidized. The actual credit rates are adjusted monthly for projects placed in service after 1987. The qualified basis represents the product of the "applicable fraction" of the building and the "eligible basis" of the building. The applicable fraction is based on the number of low income units in the building as a percentage of the total number of units, or based on the floor space of low income units as a percentage of the total floor space of residential units in the building. The eligible basis is the adjusted basis attributable to acquisition, rehabilitation, or new construction costs (depending on the type of LIHTC involved). In the case of buildings located in designated Qualified Census Tracts or designated Difficult Development Areas (DDA), eligible basis can be increased up to 130 percent of what it would otherwise be. This means that the available credit also can be increased by up to 30 percent. For example, if the 70 percent credit is available, it effectively could be increased up to 91 percent. There is a limit on the number of Qualified Census Tracts in any Metropolitan Statistical Area (MSA) or Primary Metropolitan Statistical Area (PMSA) that may be designated to receive an increase in eligible basis: all of the designated census tracts within a given MSA/PMSA may not together contain more than 20 percent of the total population of the MSA/PMSA. For purposes of HUD designations of Qualified Census Tracts, all non-metropolitan areas in a state are treated as if they constituted a single metropolitan area.To learn more, go to: http://www.huduser.org/portal/datasets/qct.html. Data is current as of: 02/07/2013

  8. F

    Monthly Supply of New Houses in the United States

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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    (2025). Monthly Supply of New Houses in the United States [Dataset]. https://fred.stlouisfed.org/series/MSACSR
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    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Monthly Supply of New Houses in the United States (MSACSR) from Jan 1963 to Feb 2025 about supplies, new, housing, and USA.

  9. F

    Estimate of Median Household Income for Miami-Dade County, FL

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
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    (2024). Estimate of Median Household Income for Miami-Dade County, FL [Dataset]. https://fred.stlouisfed.org/series/MHIFL12086A052NCEN
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    jsonAvailable download formats
    Dataset updated
    Dec 20, 2024
    License

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

    Area covered
    Miami-Dade County, Florida
    Description

    Graph and download economic data for Estimate of Median Household Income for Miami-Dade County, FL (MHIFL12086A052NCEN) from 1997 to 2023 about Miami-Dade County, FL; Miami; FL; households; median; income; and USA.

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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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TIGER Road Network

Explore at:
43 scholarly articles cite this dataset (View in Google Scholar)
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.

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