20 datasets found
  1. d

    Demographic Data Append (Age, Gender, Marital Status, etc) Append API, USA,...

    • datarade.ai
    .json, .csv
    Updated Mar 16, 2023
    + more versions
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    Versium (2023). Demographic Data Append (Age, Gender, Marital Status, etc) Append API, USA, CCPA Compliant [Dataset]. https://datarade.ai/data-products/versium-reach-consumer-basic-demographic-age-gender-mari-versium
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset authored and provided by
    Versium
    Area covered
    United States
    Description

    With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

    Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

    Here is a list of what sorts of attributes are available for each output type listed above:

    Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
    - Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

    Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

    Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
    - Current Affairs and Politics
    - Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
    - Antiques - Home Improvement - Gardening - Cooking - Exercise
    - Sports - Outdoors - Womens Apparel
    - Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

    Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

  2. d

    Global B2C Demographic Append & Enrichment Data for Deeper Customer Insights...

    • datarade.ai
    .csv, .xls
    Updated May 22, 2025
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    eGentic (2025). Global B2C Demographic Append & Enrichment Data for Deeper Customer Insights | 1M+ Records Monthly [Dataset]. https://datarade.ai/data-products/global-b2c-demographic-append-enrichment-data-for-deeper-cu-egentic
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    eGentic
    Area covered
    Netherlands, Poland, Malaysia, Philippines, Italy, Hong Kong, Indonesia, Portugal, United Kingdom, Taiwan
    Description

    Key Features: • Enriches CRM and first-party data with verified demographic attributes • Supports both hashed and unhashed email formats • Privacy-compliant and sourced from permission-based datasets • Coverage available across key APAC markets

    Use Cases: • Enhance customer profiles with age, gender, and lifestyle indicators • Build detailed personas for refined audience segmentation • Power personalization engines with enriched user data • Boost acquisition and retention strategies with smarter targeting

    Key Attributes Available (varies by region): • Age • Gender • Location (City, State, Country) • Household Composition • Income Bracket • Interests & Lifestyle Indicators

    Data Format: Hashed (SHA-256) & Unhashed Emails

    Data Delivery: SFTP

    Perfect For: • CRM Managers • Data & Analytics Teams • Marketing Automation • Ad Tech / Martech Providers • Media Agencies

  3. d

    Demographic Append - Versium REACH B2C

    • datarade.ai
    .csv
    Updated Dec 5, 2021
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    Versium (2021). Demographic Append - Versium REACH B2C [Dataset]. https://datarade.ai/data-providers/versium/data-products/demographic-append-versium-reach-b2c-versium
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Dec 5, 2021
    Dataset authored and provided by
    Versium
    Area covered
    United States of America
    Description

    With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

    Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

    Here is a list of what sorts of attributes are available for each output type listed above:

    Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
    - Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

    Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

    Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
    - Current Affairs and Politics
    - Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
    - Antiques - Home Improvement - Gardening - Cooking - Exercise
    - Sports - Outdoors - Womens Apparel
    - Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

    Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

  4. u

    Utah Census Counties 2020

    • opendata.gis.utah.gov
    • hub.arcgis.com
    Updated Mar 1, 2021
    + more versions
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    Utah Automated Geographic Reference Center (AGRC) (2021). Utah Census Counties 2020 [Dataset]. https://opendata.gis.utah.gov/datasets/utah-census-counties-2020
    Explore at:
    Dataset updated
    Mar 1, 2021
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

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

    Area covered
    Description

    Last Update: 02/2021This datasets was was downloaded from the 2020 Census Redistricting Data (P.L. 94-171) page. All 2020 census boundaries are current to January 1, 2020. The Census Bureau will release the first set of corresponding demographic data in September 2021 (the 2020 Census Redistricting P.L. 94-171 Summary Files). Following that release, AGRC will append the demographic data to the existing 2020 geographies served on this page.Visit the SGID 2020 Census data page for more information.

  5. a

    Utah Census State 2020

    • hub.arcgis.com
    • opendata.gis.utah.gov
    • +1more
    Updated Feb 27, 2021
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    Utah Automated Geographic Reference Center (AGRC) (2021). Utah Census State 2020 [Dataset]. https://hub.arcgis.com/datasets/fb85601788424239846ec8c9df201369
    Explore at:
    Dataset updated
    Feb 27, 2021
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

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

    Area covered
    Description

    Last Update: 02/2021This datasets was was downloaded from the 2020 Census Redistricting Data (P.L. 94-171) page. All 2020 census boundaries are current to January 1, 2020. The Census Bureau will release the first set of corresponding demographic data in September 2021 (the 2020 Census Redistricting P.L. 94-171 Summary Files). Following that release, AGRC will append the demographic data to the existing 2020 geographies served on this page.Visit the SGID 2020 Census data page for more information.

  6. d

    Digital Audience Data Segments B2C - Increase your match by 3X -...

    • datarade.ai
    .csv
    Updated Apr 19, 2023
    + more versions
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    Versium (2023). Digital Audience Data Segments B2C - Increase your match by 3X - Programmatic Audience [Dataset]. https://datarade.ai/data-products/versium-consumer-reach-direct-programmatic-digital-audience-versium
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Apr 19, 2023
    Dataset authored and provided by
    Versium
    Area covered
    United States of America
    Description

    Contact Append / Contact Append Plus: Append consumer emails that have been validated for deliverability (~90% to 95% accuracy). Append phone numbers that have been labeled as the best number to reach someone at (Landlines, VOIP, and Mobile phones included as a default) Append address information for mailing and geo segmentation purposes

    Demographic Append: Add consumer demographic data to your list of customers or prospects.

    List Generation: Create a list of consumer targets from scratch by using demographic, geolocation, and financial data

    Online Audience: B2C social media and programmatic display marketing - Increase match rates by 30% to 300%

  7. u

    Utah Census Places 2020

    • opendata.gis.utah.gov
    • gis-support-utah-em.hub.arcgis.com
    Updated Feb 27, 2021
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    Utah Automated Geographic Reference Center (AGRC) (2021). Utah Census Places 2020 [Dataset]. https://opendata.gis.utah.gov/datasets/utah-census-places-2020/explore?showTable=true
    Explore at:
    Dataset updated
    Feb 27, 2021
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

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

    Area covered
    Description

    Last Update: 02/2021This datasets was was downloaded from the 2020 Census Redistricting Data (P.L. 94-171) page. All 2020 census boundaries are current to January 1, 2020. The Census Bureau will release the first set of corresponding demographic data in September 2021 (the 2020 Census Redistricting P.L. 94-171 Summary Files). Following that release, AGRC will append the demographic data to the existing 2020 geographies served on this page.In Utah, “places” include cities, towns, metro townships, and census-designated places (CDPs). The first three are legal boundaries in Utah, representing incorporated places that provide governmental functions for a concentration of people. CDPs are statistical boundaries delineated by the Census Bureau. They provide data for recognizable places that are not legally incorporated.Visit the SGID 2020 Census data pagefor more information.

  8. C

    2010 Census Blocks with Geographic Codes Southwestern PA

    • data.wprdc.org
    • catalog.data.gov
    • +2more
    csv, zip
    Updated May 21, 2023
    + more versions
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    Western Pennsylvania Regional Data Center (2023). 2010 Census Blocks with Geographic Codes Southwestern PA [Dataset]. https://data.wprdc.org/dataset/2010-census-blocks-with-geographic-codes-southwestern-pa
    Explore at:
    zip, csv(3768)Available download formats
    Dataset updated
    May 21, 2023
    Dataset provided by
    Western Pennsylvania Regional Data Center
    License

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

    Area covered
    Southwest
    Description

    This file can be used as a tool to append geographic codes to geocoded point data. The file was developed by Pitt's Center for Social and Urban Research and provides the county, census tract, county subarea/municipality, Allegheny County Council District, PA House and Senate District numbers, school district, and Zip codes. Also included from the City of Pittsburgh: neighborhoods, wards, City Council election districts, and City administrative boundaries, including Permits Licenses and Inspection administrative zones, Public Works administrative zones, Fire districts, and Police zones. The file contains data from Allegheny, Armstrong, Beaver, Butler, Fayette, Greene, Indiana, Lawrence, Washington, and Westmoreland Counties in Pennsylvania.

  9. d

    Voter Data Enrichment, USA, CCPA Compliant, Political Interest Data

    • datarade.ai
    .json, .csv
    Updated Dec 5, 2021
    + more versions
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    Versium (2021). Voter Data Enrichment, USA, CCPA Compliant, Political Interest Data [Dataset]. https://datarade.ai/data-products/versium-reach-political-interest-data-enrichment-usa-gdp-versium
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Dec 5, 2021
    Dataset authored and provided by
    Versium
    Area covered
    United States
    Description

    With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

    Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

    Here is a list of what sorts of attributes are available for each output type listed above:

    Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
    - Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

    Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

    Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
    - Current Affairs and Politics
    - Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
    - Antiques - Home Improvement - Gardening - Cooking - Exercise
    - Sports - Outdoors - Womens Apparel
    - Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

    Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

  10. COVID-19 Reported Patient Impact and Hospital Capacity by Facility -- RAW

    • healthdata.gov
    • data.virginia.gov
    • +4more
    Updated May 3, 2024
    + more versions
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    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by Facility -- RAW [Dataset]. https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/uqq2-txqb
    Explore at:
    application/rssxml, tsv, csv, application/rdfxml, xml, kml, kmz, application/geo+jsonAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Sunday to Saturday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.

    The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities.

    For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-15 means the average/sum/coverage of the elements captured from that given facility starting and including Sunday, November 15, 2020, and ending and including reports for Saturday, November 21, 2020.

    Reported elements include an append of either “_coverage”, “_sum”, or “_avg”.

    • A “_coverage” append denotes how many times the facility reported that element during that collection week.
    • A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week.
    • A “_avg” append is the average of the reports provided for that facility for that element during that collection week.

    The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.

    A story page was created to display both corrected and raw datasets and can be accessed at this link: https://healthdata.gov/stories/s/nhgk-5gpv

    This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020.

    Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect.

    For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied.

    For recent updates to the dataset, scroll to the bottom of the dataset description.

    On May 3, 2021, the following fields have been added to this data set.

    • hhs_ids
    • previous_day_admission_adult_covid_confirmed_7_day_coverage
    • previous_day_admission_pediatric_covid_confirmed_7_day_coverage
    • previous_day_admission_adult_covid_suspected_7_day_coverage
    • previous_day_admission_pediatric_covid_suspected_7_day_coverage
    • previous_week_personnel_covid_vaccinated_doses_administered_7_day_sum
    • total_personnel_covid_vaccinated_doses_none_7_day_sum
    • total_personnel_covid_vaccinated_doses_one_7_day_sum
    • total_personnel_covid_vaccinated_doses_all_7_day_sum
    • previous_week_patients_covid_vaccinated_doses_one_7_day_sum
    • previous_week_patients_covid_vaccinated_doses_all_7_day_sum

    On May 8, 2021, this data set is the originally reported numbers by the facility. This data set may contain data anomalies due to data key entries.

    On May 13, 2021 Changed vaccination fields from sum to max or min fields. This reflects the maximum or minimum number reported for that metric in a given week.

    On June 7, 2021 Changed vaccination fields from max or min fields to Wednesday reported only. This reflects that the number reported for that metric is only reported on Wednesdays in a given week.

    On January 19, 2022, the following fields have been added to this dataset:

    • inpatient_beds_used_covid_7_day_avg
    • inpatient_beds_used_covid_7_day_sum
    • inpatient_beds_used_covid_7_day_coverage

    On April 28, 2022, the following pediatric fields have been added to this dataset:

    • all_pediatric_inpatient_bed_occupied_7_day_avg
    • all_pediatric_inpatient_bed_occupied_7_day_coverage
    • all_pediatric_inpatient_bed_occupied_7_day_sum
    • all_pediatric_inpatient_beds_7_day_avg
    • all_pediatric_inpatient_beds_7_day_coverage
    • all_pediatric_inpatient_beds_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_0_4_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_12_17_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_5_11_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_unknown_7_day_sum
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_avg
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_coverage
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_sum
    • staffed_pediatric_icu_bed_occupancy_7_day_avg
    • staffed_pediatric_icu_bed_occupancy_7_day_coverage
    • staffed_pediatric_icu_bed_occupancy_7_day_sum
    • total_staffed_pediatric_icu_beds_7_day_avg
    • total_staffed_pediatric_icu_beds_7_day_coverage
    • total_staffed_pediatric_icu_beds_7_day_sum

    Due to changes in reporting requirements, after June 19, 2023, a collection week is defined as starting on a Sunday and ending on the next Saturday.

  11. a

    Somerset County Census Tracts

    • hub.arcgis.com
    Updated Jan 3, 2023
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    Somerset County GIS (2023). Somerset County Census Tracts [Dataset]. https://hub.arcgis.com/datasets/9941fdc08c8041d6a1268ec506c6793c
    Explore at:
    Dataset updated
    Jan 3, 2023
    Dataset authored and provided by
    Somerset County GIS
    Area covered
    Description

    Census tracts are small and relatively permanent statistical subdivisions of a county or equivalent entity. Local participants review and update census tracts prior to each decennial census as part of the Census Bureau’s PSAP. The Census Bureau updates census tracts in situations where no local participant existed or where local or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have a population size of 1,200 to 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. Census tract boundaries generally follow visible and identifiable features. Census tract boundaries may follow legal boundaries (e.g., MCD or incorporated place boundaries in some states 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. Census Tract Codes and Numbers—Census tract numbers have up to a 4-character basic number and may have an optional 2-character suffix. For example, 1457.02. The census tract numbers (used as names) eliminate any leading zeroes and append a suffix only if required. The 6-digit census tract codes, however, include leading zeroes and have an implied decimal point for the suffix. Census tract codes (000100 to 998999) are unique within a county or equivalent area. The Census Bureau assigned a census tract code of 9900 to represent census tracts delineated to cover large bodies of water. In addition, census tract codes in the 9400s represent American Indian Areas and codes in the 9800s represent special land use areas. The Census Bureau uses suffixes to help identify census tract changes for comparison purposes. Local participants have an opportunity to review the existing census tracts before each census. If local participants split a census tract, the split parts usually retain the basic number, but receive different suffixes. In a few counties, local participants request major changes to, and renumbering of, the census tracts. Changes to individual census tract boundaries usually do not result in census tract numbering changes. Relationship to Other Geographic Entities—Within the standard census geographic hierarchy, census tracts never cross state or county boundaries, but may cross the boundaries of county subdivisions, places, urban areas, voting districts, congressional districts, and AIANNH areas. Census Tract Numbers and Codes: 000100 to 939999 - Basic number range for census tracts940000 to 949999 - American Indian Areas950000 to 979999 - Basic number range for census tracts980000 to 989999 - Special land use areas990000 to 990099 - Basic number range for census tracts in water areas990100 to 998900 - Basic number range for census tracts 2020 Census legal boundaries (TIGER/Line Shapefiles) were downloaded from the Census website. Data pertaining to Somerset County was extracted and processed by the Somerset County Office of GIS Services (SCOGIS)

  12. a

    Bus Routes

    • chelsea-open-data-chelseamass.hub.arcgis.com
    Updated Feb 23, 2023
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    City of Chelsea (2023). Bus Routes [Dataset]. https://chelsea-open-data-chelseamass.hub.arcgis.com/datasets/bus-routes-1
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    Dataset updated
    Feb 23, 2023
    Dataset authored and provided by
    City of Chelsea
    Area covered
    Description

    2020 Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and are reviewed and updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program (PSAP). The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have a total population size between 1,200 and 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy, but tracts can cross the same kinds of boundaries that block groups can. Census tract numbers have up to a 4-character basic number and may have an optional 2-character suffix. The census tract numbers (used as names) eliminate any leading zeroes and append a suffix only if required. The 6-digit census tract codes, however, include leading zeroes and have an implied decimal point for the suffix. Census tract codes (000100 to 998999) are unique within a county or equivalent area.

  13. a

    Bathymetry

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 23, 2023
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    City of Chelsea (2023). Bathymetry [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/ChelseaMass::bathymetry-1?layer=15
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    Dataset updated
    Feb 23, 2023
    Dataset authored and provided by
    City of Chelsea
    Area covered
    Description

    2020 Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and are reviewed and updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program (PSAP). The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have a total population size between 1,200 and 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy, but tracts can cross the same kinds of boundaries that block groups can. Census tract numbers have up to a 4-character basic number and may have an optional 2-character suffix. The census tract numbers (used as names) eliminate any leading zeroes and append a suffix only if required. The 6-digit census tract codes, however, include leading zeroes and have an implied decimal point for the suffix. Census tract codes (000100 to 998999) are unique within a county or equivalent area.

  14. d

    Australia B2C Language Demographic Data | Languages by suburb

    • datarade.ai
    .xls
    Updated May 1, 2024
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    Blistering Developers (2024). Australia B2C Language Demographic Data | Languages by suburb [Dataset]. https://datarade.ai/data-products/australia-b2c-language-demographic-data-languages-by-suburb-blistering-developers
    Explore at:
    .xlsAvailable download formats
    Dataset updated
    May 1, 2024
    Dataset authored and provided by
    Blistering Developers
    Area covered
    Australia
    Description

    With extensive coverage nationally and across various languages, our B2C Language Demographic Data provides valuable insights for sales, marketing, and research purposes. Whether you're seeking to expand your client base, enhance lead generation efforts, or conduct market analysis, our dataset empowers you to make informed decisions and drive business growth.

    Our B2C Language Demographic Data covers a wide range of languages including but not limited to Chinese, Arabic, Hindi, French, German, Vietnamese and more. By leveraging our dataset, you can identify potential prospects, explore new market opportunities, and stay ahead of the competition. Whether you're a startup looking to establish your presence, a seasoned enterprise aiming to expand your market share or a researcher, our B2C Language Demographic Data offers valuable insights.

    Uses

    The use cases of our B2C Language Demographic Data are diverse and versatile. From targeted marketing campaigns (e.g., billboard, location-based), to market segmentation and cohort analysis, our dataset serves as a valuable asset for various business and research functions. Whether you're targeting influencers, or specific industry verticals, our B2C Language Demographic Data provides the foundation for effective communication and engagement.

    Key benefits of our B2C Language Demographic Data include:

    • Enhanced Lead Generation: Identify locations of high-potential prospects
    • Improved Targeting: Tailor your marketing efforts based on detailed location- based insights on your target cohort. Our rich set of contact points enable business to direct energies to precisely where they create the most impact.
    • Increased ROI: Maximize the efficiency of your marketing campaigns by focusing on the most promising opportunities.
    • Data Accuracy: Ensure the reliability and validity of your data with our regularly updated and verified dataset.
    • Competitive Advantage: Stay ahead of the competition by accessing comprehensive market intelligence and strategic insights.
    • Scalability: Our dataset grows with your business, providing scalability and flexibility to meet evolving needs.
    • Compliance: Our B2C Language Demographic Data complies with relevant data privacy regulations

    Why businesses partner with us:

    Operating for over ten years, innovation is our north star, driving value, fostering collaborative grown and compounding returns for our partners.
    Our data is compliant and responsibly collected. We are easy to work with.
    We offer products that are cost effective and good value. We work to make an impact for our customers. Talk to us about the solutions you are after

    Key Tags:

    Data Enrichment, B2C Sales, Analytics, People Data, B2C, Customer Data, Prospect Data, Audience Generation, B2C Data Enrichment, Business Intelligence, AI / ML, Market Intelligence, Segmentation, Audience Targeting, Audience Intelligence, B2C Advertising, List Validation, Data Cleansing, Competitive Intelligence, Demographic Data, B2C Data, Lead Information, Data Append, Data Augmentation, Data Cleansing, Data Enhancement, Data Intelligence, Data Science, Due Diligence, Marketing Data Enrichment, Master Data Enrichment, People-Based Marketing, Predictive Analytics, Prospecting, Sales Intelligence, Sales Prospecting

  15. d

    Factori | US Consumer Graph Data - Acquisition Marketing & Consumer Data...

    • datarade.ai
    .json, .csv
    Updated Jul 23, 2022
    + more versions
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    Factori (2022). Factori | US Consumer Graph Data - Acquisition Marketing & Consumer Data Insights | Append 100+ Attributes from 220M+ Consumer Profiles [Dataset]. https://datarade.ai/data-products/factori-usa-consumer-graph-data-acquisition-marketing-a-factori
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Jul 23, 2022
    Dataset authored and provided by
    Factori
    Area covered
    United States of America
    Description

    Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

    Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. 1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc. 2. Demographics - Gender, Age Group, Marital Status, Language etc. 3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc 4. Persona - Consumer type, Communication preferences, Family type, etc 5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc. 6. Household - Number of Children, Number of Adults, IP Address, etc. 7. Behaviours - Brand Affinity, App Usage, Web Browsing etc. 8. Firmographics - Industry, Company, Occupation, Revenue, etc 9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc. 10. Auto - Car Make, Model, Type, Year, etc. 11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

    Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

    Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

    Consumer Graph Use Cases: 360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

  16. d

    Automotive Consumer Data, (Income, Financial Data, etc), USA, CCPA Compliant...

    • datarade.ai
    .json, .csv
    Updated Mar 17, 2023
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    Versium (2023). Automotive Consumer Data, (Income, Financial Data, etc), USA, CCPA Compliant [Dataset]. https://datarade.ai/data-products/versium-reach-consumer-household-and-financial-demographic-versium-864d
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Mar 17, 2023
    Dataset authored and provided by
    Versium
    Area covered
    United States
    Description

    With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

    Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

    Here is a list of what sorts of attributes are available for each output type listed above:

    Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
    - Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

    Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

    Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
    - Current Affairs and Politics
    - Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
    - Antiques - Home Improvement - Gardening - Cooking - Exercise
    - Sports - Outdoors - Womens Apparel
    - Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

    Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

  17. d

    B2B Live Contact Data | 23M+ High Quality US B2B Contacts

    • datarade.ai
    .csv, .xls, .txt
    Updated Jul 18, 2023
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    1 Stop Data (2023). B2B Live Contact Data | 23M+ High Quality US B2B Contacts [Dataset]. https://datarade.ai/data-products/b2b-live-contact-data-23m-high-quality-us-b2b-contacts-1-stop-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    1 Stop Data
    Area covered
    United States
    Description

    From our comprehensive US Data Lake, we proudly present 23M+ high-quality US decision-makers and influencers.

    Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.

    Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.

    It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.

    and much more

    Why Choose 1 Stop Data?

    • We offer our clients a unique, single source of quality and compliant data.
    • We don't rely on 3rd party vendors.
    • We utilise extensive verification processes to help ensure phone numbers and emails are accurate and connect to the right person.
    • We are budget-friendly and our team are highly experienced.

    Products and Services:

    The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)

    Keywords:

    B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.

  18. d

    B2B Live Contact Data | 5M+ High Quality UK B2B Contacts

    • datarade.ai
    .csv, .xls, .txt
    Updated Jul 18, 2023
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    1 Stop Data (2023). B2B Live Contact Data | 5M+ High Quality UK B2B Contacts [Dataset]. https://datarade.ai/data-products/b2b-live-contact-data-5m-high-quality-uk-b2b-contacts-1-stop-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    1 Stop Data
    Area covered
    United Kingdom
    Description

    From our comprehensive UK Data Lake, we proudly present 5M+ high-quality UK decision-makers and influencers.

    Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.

    Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.

    It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.

    and much more

    Why Choose 1 Stop Data?

    • We offer our clients a unique, single source of quality and compliant data.
    • We don't rely on 3rd party vendors.
    • We utilise extensive verification processes to help ensure phone numbers and emails are accurate and connect to the right person.
    • We are budget-friendly and our team are highly experienced.

    Products and Services:

    The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)

    Keywords:

    B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.

  19. d

    Canadian Geographic Conversation Data | Mapping | Enhanced Postal Code...

    • datarade.ai
    .csv, .txt
    Updated Mar 12, 2025
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    Environics Analytics (2025). Canadian Geographic Conversation Data | Mapping | Enhanced Postal Code Conversation File [Dataset]. https://datarade.ai/data-products/canadian-geographic-conversation-data-mapping-enhanced-po-environics-analytics
    Explore at:
    .csv, .txtAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    Environics Analytics
    Area covered
    Canada
    Description

    The ePCCF product comprised of two files, the Unique ePCCF and the Rural Enhanced PCCF. The Unique Enhanced PCCF file contains 911,992 postal code points. The ePCCF is released twice per year to capture changes to the Canada Post postal code roster throughout the year.

    While the basic PCCF may report a single postal code representing a half-dozen rural communities, our Enhanced PCCF uses a combination of place name and postal code data to assign to each record the characteristics (and location) of the DA. This Rural Enhanced PCCF refines rural postal code assignments by including the ability to match using a combination of postal code and community names commonly associated with that postal code.

    This combination provides a greater degree of precision in locating rural records and results in more accurate assignment of data to customer records for rural areas.

    The Enhanced PCCF can be used to geocode a company’s customer list and to append demographic and PRIZM® lifestyle segments to records for mapping and other analytical applications like data mining to uncover behavioural patterns for targeting campaigns.

  20. d

    Asia Pacific B2C Consumer Contact Lookup - Privacy-Compliant Identity...

    • datarade.ai
    .csv, .xls
    Updated May 23, 2025
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    eGentic (2025). Asia Pacific B2C Consumer Contact Lookup - Privacy-Compliant Identity Resolution [Dataset]. https://datarade.ai/data-products/asia-pacific-b2c-consumer-contact-lookup-privacy-compliant-egentic
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    eGentic
    Area covered
    New Zealand, Taiwan, Australia, Philippines, Hong Kong, Malaysia, South Africa, Thailand, Indonesia, Singapore
    Description

    Key Features: • Matches emails, phone numbers, and names to consumer profiles • Appends additional contact fields and demographic attributes (where available) • Built on permission-based, privacy-compliant global data sources • High match rates for reliable identity resolution

    What You Can Match & Append: • Full Name • Email Address • Phone Number • Physical Address (City, Zipcode, Country - based on availability)

    Use Cases: • Customer record enrichment • Identity resolution and deduplication • Fraud prevention and validation

    Data Format: Emails, Phone Numbers, or Mixed Identifier Inputs

    Data Delivery: SFTP

    Perfect For: • Identity & Fraud Solutions • Data Brokers & Enrichment Providers • Customer Intelligence & Insights Teams

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Versium (2023). Demographic Data Append (Age, Gender, Marital Status, etc) Append API, USA, CCPA Compliant [Dataset]. https://datarade.ai/data-products/versium-reach-consumer-basic-demographic-age-gender-mari-versium

Demographic Data Append (Age, Gender, Marital Status, etc) Append API, USA, CCPA Compliant

Explore at:
.json, .csvAvailable download formats
Dataset updated
Mar 16, 2023
Dataset authored and provided by
Versium
Area covered
United States
Description

With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

Here is a list of what sorts of attributes are available for each output type listed above:

Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
- Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
- Current Affairs and Politics
- Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
- Antiques - Home Improvement - Gardening - Cooking - Exercise
- Sports - Outdoors - Womens Apparel
- Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

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