5 datasets found
  1. Highest median prices of residential real estate in New England 2023, by zip...

    • statista.com
    Updated Nov 8, 2021
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    Statista (2021). Highest median prices of residential real estate in New England 2023, by zip code [Dataset]. https://www.statista.com/statistics/1279310/median-price-of-residential-properties-new-england-by-zip-code-usa/
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    Dataset updated
    Nov 8, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Oct 2023
    Area covered
    United States
    Description

    The median house prices in the most expensive zip codes in New England, United States ranged from *** to *** million U.S. dollars. Boston (zip code 02199) was the most expensive in New England with a median house price of *** million U.S. dollars. Nevertheless, that was more affordable than in the ten zip codes with the highest median house price in the entire United States.

  2. Census of Population and Housing, 1980 [United States]: 1979 County and MCD...

    • icpsr.umich.edu
    ascii
    Updated Feb 16, 1992
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    United States. Bureau of the Census (1992). Census of Population and Housing, 1980 [United States]: 1979 County and MCD By Zip Code [Dataset]. http://doi.org/10.3886/ICPSR08051.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8051/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8051/terms

    Time period covered
    1979
    Area covered
    United States
    Description

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

  3. c

    Census of Population and Housing, 1980: County and MCD by ZIP Code, 1979

    • archive.ciser.cornell.edu
    • commons.datacite.org
    Updated Dec 19, 2020
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    Bureau of the Census (2020). Census of Population and Housing, 1980: County and MCD by ZIP Code, 1979 [Dataset]. http://doi.org/10.6077/j5/ef7xli
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    Dataset updated
    Dec 19, 2020
    Dataset authored and provided by
    Bureau of the Census
    Variables measured
    GeographicUnit
    Description

    This data collection relates ZIP codes to counties, to standard metropolitan statistical areas (SMSAs), and, in New England, to minor civil divisions (MCDs). The relationships between ZIP codes and other geographical units are based on 1979 boundaries, and changes since that time are not reflected. The Census Bureau used various sources to determine ZIP code-county or ZIP code-MCD relationships. In the cases where the sources were confusing or contradictory as to the geographical boundaries of a ZIP code, multiple ZIP-code records (each representing the territory contained in that ZIP-code area) were included in the data file. As a result, the file tends to overstate the ZIP code-county or ZIP code-MCD crossovers. The file is organized by ZIP code and is a byproduct of data used to administer the 1980 Census. Variables include ZIP codes, post office names, FIPS state and county codes, county or MCD names, and SMSA codes. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08051.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  4. Blockgroups, census, 2000, Ipswich Watershed, Parker Watershed, Plum Island...

    • dataone.org
    • search.dataone.org
    • +1more
    Updated Mar 11, 2015
    + more versions
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    Geography Division Products and Services Staff (2015). Blockgroups, census, 2000, Ipswich Watershed, Parker Watershed, Plum Island Ecosystem, Massachusetts - vector [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-pie%2F481%2F1
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Geography Division Products and Services Staff
    Time period covered
    Jan 1, 2000 - Dec 31, 2000
    Area covered
    Description

    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 jurisditional 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. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

  5. ONS Postcode Directory (February 2024) for the UK

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    Updated Feb 18, 2024
    + more versions
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    Office for National Statistics (2024). ONS Postcode Directory (February 2024) for the UK [Dataset]. https://geoportal.statistics.gov.uk/datasets/e14b1475ecf74b58804cf667b6740706
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    Dataset updated
    Feb 18, 2024
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2024 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area-based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 231 MB) Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.

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Statista (2021). Highest median prices of residential real estate in New England 2023, by zip code [Dataset]. https://www.statista.com/statistics/1279310/median-price-of-residential-properties-new-england-by-zip-code-usa/
Organization logo

Highest median prices of residential real estate in New England 2023, by zip code

Explore at:
Dataset updated
Nov 8, 2021
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2023 - Oct 2023
Area covered
United States
Description

The median house prices in the most expensive zip codes in New England, United States ranged from *** to *** million U.S. dollars. Boston (zip code 02199) was the most expensive in New England with a median house price of *** million U.S. dollars. Nevertheless, that was more affordable than in the ten zip codes with the highest median house price in the entire United States.

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