15 datasets found
  1. d

    Direct Marketing Data | Global Demographic data | Consumer behavior data |...

    • datarade.ai
    .csv
    Updated Apr 25, 2025
    + more versions
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    GeoPostcodes (2025). Direct Marketing Data | Global Demographic data | Consumer behavior data | Industry data [Dataset]. https://datarade.ai/data-products/geopostcodes-direct-marketing-data-demographic-data-consu-geopostcodes
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    United Kingdom, Palau, Finland, South Africa, Puerto Rico, Tajikistan, Panama, Oman, Nepal, Western Sahara
    Description

    A global database of Direct Marketing Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future. Leverage up-to-date audience targeting population trends for market research, audience targeting, and sales territory mapping.

    Self-hosted marketing population dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The Demographic Data is standardized, unified, and ready to use.

    Use cases for the Global Consumer Behavior Database (Direct Marketing Data)

    • Ad targeting

    • B2B Market Intelligence

    • Customer analytics

    • Audience targeting

    • Marketing campaign analysis

    • Demand forecasting

    • Sales territory mapping

    • Retail site selection

    • Reporting

    • Audience targeting

    Demographic data export methodology

    Our population data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Product Features

    • Historical population data (55 years)

    • Changes in population density

    • Urbanization Patterns

    • Accurate at zip code and administrative level

    • Optimized for easy integration

    • Easy customization

    • Global coverage

    • Updated yearly

    • Standardized and reliable

    • Self-hosted delivery

    • Fully aggregated (ready to use)

    • Rich attributes

    Why do companies choose our Consumer databases

    • Standardized and unified demographic data structure

    • Seamless integration in your system

    • Dedicated location data expert

    Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

  2. w

    Global Online Dating Service Market Research Report: By Service Type (Free...

    • wiseguyreports.com
    Updated Dec 4, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Online Dating Service Market Research Report: By Service Type (Free Online Dating Services, Paid Online Dating Services, Freemium Online Dating Services), By User Demographics (Age, Gender, Sexual Orientation, Education Level), By Platform Type (Mobile Applications, Websites, Desktop Applications), By Relationship Type (Casual Dating, Serious Relationships, Friendship, Networking) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/online-dating-service-market
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20235.15(USD Billion)
    MARKET SIZE 20245.66(USD Billion)
    MARKET SIZE 203212.04(USD Billion)
    SEGMENTS COVEREDService Type, User Demographics, Platform Type, Relationship Type, Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSincreased smartphone usage, social acceptance of online dating, algorithms for matching efficiency, expansion into niche markets, subscription-based revenue models
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDHinge, eHarmony, Zoosk, Tinder, Muzmatch, Coffee Meets Bagel, Match Group, Grindr, Christian Mingle, Sizzl, OkCupid, Plenty of Fish, Bumble, EliteSingles, Happn
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESNiche dating platforms growth, Mobile app innovation, Enhanced user safety features, AI-driven matching algorithms, Integration of virtual events
    COMPOUND ANNUAL GROWTH RATE (CAGR) 9.9% (2025 - 2032)
  3. d

    Every Government and Public Sector Organisation database in the UK by Oscar...

    • datarade.ai
    .csv, .xls
    Updated Dec 21, 2020
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    Oscar Research (2020). Every Government and Public Sector Organisation database in the UK by Oscar Research (demographics, contact information) [Dataset]. https://datarade.ai/data-products/public-service-organisational-database-subscription-oscar-research
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Dec 21, 2020
    Dataset authored and provided by
    Oscar Research
    Area covered
    United Kingdom
    Description

    Primary Uses:

    Credit Checking and Approval Matching Industry and Customer Benchmarking and Analysis The Basis for Research Projects and Reports

    Subscription Includes:

    Continuous Live Updating and Bespoke Delivery Infinite selections across over 90,000 organisations Granular Organisational Categorisation across Three Levels. Sector Specific Demographics and Intelligence Identification of Publicly Funded Entities Hierarchies, Group Structures and Organisational Relationships Unique ORG ID’s with full integrity and Official ID’s for many organisations

  4. d

    Urban Planning | Real Estate Data | Demographic data | Global coverage |...

    • datarade.ai
    .csv
    Updated Oct 15, 2024
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    GeoPostcodes (2024). Urban Planning | Real Estate Data | Demographic data | Global coverage | Population Trends [Dataset]. https://datarade.ai/data-products/geopostcodes-real-estate-data-urban-planning-data-demogra-geopostcodes
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    United Arab Emirates, French Polynesia, Saint Lucia, Mali, Sao Tome and Principe, French Southern Territories, Bermuda, Burundi, Åland Islands, Réunion
    Description

    A global database of Real Estate Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

    Leverage up-to-date urban planning data with population trends for real estate, market research, audience targeting, and sales territory mapping.

    Self-hosted commercial real estate dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The Urban Planning Data is standardized, unified, and ready to use.

    Use cases for the Global Population Database (Urban Planning Data)

    • Ad targeting

    • B2B Market Intelligence

    • Customer analytics

    • Real Estate Data Estimations

    • Marketing campaign analysis

    • Demand forecasting

    • Sales territory mapping

    • Retail site selection

    • Reporting

    • Audience targeting

    Demographic data export methodology

    Our location data packages are offered in CSV format. All Demographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Product Features

    • Historical population data (55 years)

    • Changes in population density

    • Urbanization Patterns

    • Accurate at zip code and administrative level

    • Optimized for easy integration

    • Easy customization

    • Global coverage

    • Updated yearly

    • Standardized and reliable

    • Self-hosted delivery

    • Fully aggregated (ready to use)

    • Rich attributes

    Why do companies choose our Real Estate databases

    • Standardized and unified demographic data structure

    • Seamless integration in your system

    • Dedicated location data expert

    Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

  5. d

    APS 3.2 Investigations: Allegation Types by County FY2014-FY2023

    • datasets.ai
    23, 40, 55, 8
    + more versions
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    City of Austin, APS 3.2 Investigations: Allegation Types by County FY2014-FY2023 [Dataset]. https://datasets.ai/datasets/aps-3-2-investigations-allegation-types-by-county-fy2013-fy2022
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    8, 40, 55, 23Available download formats
    Dataset authored and provided by
    City of Austin
    Description

    Types of Abuse, Neglect and Financial Exploitation

    A single APS case can have more than one allegation.

    Neglect is the failure to provide the protection, food, shelter, or care necessary to avoid emotional harm or physical injury. The alleged perpetrator of the neglect may be the victim or the victim's caregiver. There are three types of neglect allegations: Physical Neglect, Medical Neglect, and Mental Health Neglect.

    Other allegation types include: Financial Exploitation, Physical Abuse, Emotional or Verbal Abuse, or Sexual Abuse.

    The population totals do not match prior DFPS Data Books, printed or ontline. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated.

    Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio.

    Current population estimates and projections for all years from 2014 to 2023 as of December 2023.

    Visit dfps.state.tx.us for information on all DFPS programs.

  6. d

    City of Tempe 2022 Community Survey Report

    • catalog.data.gov
    • datasets.ai
    • +7more
    Updated Jun 22, 2024
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    City of Tempe (2024). City of Tempe 2022 Community Survey Report [Dataset]. https://catalog.data.gov/dataset/city-of-tempe-2022-community-survey-report
    Explore at:
    Dataset updated
    Jun 22, 2024
    Dataset provided by
    City of Tempe
    Area covered
    Tempe
    Description

    ABOUT THE COMMUNITY SURVEY REPORTFinal Reports for ETC Institute conducted annual community attitude surveys for the City of Tempe. These survey reports help determine priorities for the community as part of the City's on-going strategic planning process.In many of the survey questions, survey respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (while some questions follow another scale). The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.PERFORMANCE MEASURESData collected in these surveys applies directly to a number of performance measures for the City of Tempe including the following (as of 2022):1. Safe and Secure Communities1.04 Fire Services Satisfaction1.06 Crime Reporting1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks2. Strong Community Connections2.02 Customer Service Satisfaction2.04 City Website Satisfaction2.05 Online Services Satisfaction Rate2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information3. Quality of Life3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance3.36 Quality of City Services4. Sustainable Growth & DevelopmentNo Performance Measures in this category presently relate directly to the Community Survey5. Financial Stability & VitalityNo Performance Measures in this category presently relate directly to the Community SurveyMethodsThe survey is mailed to a random sample of households in the City of Tempe. Follow up emails and texts are also sent to encourage participation. A link to the survey is provided with each communication. To prevent people who do not live in Tempe or who were not selected as part of the random sample from completing the survey, everyone who completed the survey was required to provide their address. These addresses were then matched to those used for the random representative sample. If the respondent’s address did not match, the response was not used. To better understand how services are being delivered across the city, individual results were mapped to determine overall distribution across the city. Additionally, demographic data were used to monitor the distribution of responses to ensure the responding population of each survey is representative of city population. The 2022 Annual Community Survey data are available on data.tempe.gov. The individual survey questions as well as the definition of the response scale (for example, 1 means “very dissatisfied” and 5 means “very satisfied”) are provided in the data dictionary.More survey information may be found on the Strategic Management and Innovation Signature Surveys, Research and Data page at https://www.tempe.gov/government/strategic-management-and-innovation/signature-surveys-research-and-data.Additional InformationSource: Community Attitude SurveyContact (author): Adam SamuelsContact E-Mail (author): Adam_Samuels@tempe.govContact (maintainer): Contact E-Mail (maintainer): Data Source Type: Excel tablePreparation Method: Data received from vendor after report is completedPublish Frequency: AnnualPublish Method: ManualData Dictionary

  7. f

    Comparison of demographics and history of comorbidity between alcohol...

    • figshare.com
    xls
    Updated Jun 3, 2023
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    Tai-Yi Hsu; Hong-Mo Shih; Yu-Chiao Wang; Leng-Chieh Lin; Guan-Yi He; Chih-Yu Chen; Chia-Hung Kao; Chao-Hsien Chen; Wei-Kung Chen; Tse-Yen Yang (2023). Comparison of demographics and history of comorbidity between alcohol intoxication and non-alcohol intoxication cohorts. [Dataset]. http://doi.org/10.1371/journal.pone.0165411.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tai-Yi Hsu; Hong-Mo Shih; Yu-Chiao Wang; Leng-Chieh Lin; Guan-Yi He; Chih-Yu Chen; Chia-Hung Kao; Chao-Hsien Chen; Wei-Kung Chen; Tse-Yen Yang
    License

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

    Description

    Comparison of demographics and history of comorbidity between alcohol intoxication and non-alcohol intoxication cohorts.

  8. Data from: Impact of Casino Gambling on Crime in the Atlantic City Region,...

    • icpsr.umich.edu
    • datasets.ai
    • +1more
    ascii
    Updated Jan 18, 2006
    + more versions
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    Hakim, Simon (2006). Impact of Casino Gambling on Crime in the Atlantic City Region, 1970-1984 [Dataset]. http://doi.org/10.3886/ICPSR09237.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 18, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Hakim, Simon
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/9237/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9237/terms

    Area covered
    United States, Atlantic City, New Jersey
    Description

    The aim of this data collection was to gauge the impact of legalized casino gambling on the level and spatial distribution of crime in the Atlantic City region by comparing crime rates before and after the introduction of this type of gambling in the area. Data for the years 1972 through 1984 were collected from various New Jersey state publications for 64 localities and include information on population size and density, population characteristics of race, age, per capita income, education and home ownership, real estate values, number of police employees and police expenditures, total city expenditure, and number of burglaries, larcenies, robberies and vehicle thefts. Spatial variables include population attributes standardized by land area in square miles, and measures of accessibility, location, and distance from Atlantic City. For the 1970/1980 data file, additional variables pertaining to population characteristics were created from census data to match economic and crime attributes found in the 1972-1984 data. Data on eight additional locations are available in the 1970/1980 file.

  9. f

    DataSheet1_Humpback whales (Megaptera novaeangliae) in Hervey Bay,...

    • frontiersin.figshare.com
    zip
    Updated Dec 3, 2024
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    Lyndon Brooks; Trish Franklin; Wally Franklin; Peter Harrison; Peter Corkeron; Kenneth H. Pollock (2024). DataSheet1_Humpback whales (Megaptera novaeangliae) in Hervey Bay, Australia: a stopover for females early in their southern migration.zip [Dataset]. http://doi.org/10.3389/fmars.2024.1426248.s001
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    zipAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    Frontiers
    Authors
    Lyndon Brooks; Trish Franklin; Wally Franklin; Peter Harrison; Peter Corkeron; Kenneth H. Pollock
    License

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

    Area covered
    Hervey Bay, Australia
    Description

    In the Southern Hemisphere, humpback whales (Megaptera novaeangliae) migrate along the extended continental coastlines of Australia, South America, and South Africa. This study reports on photo-identification capture–recapture data from a long-term survey conducted in Hervey Bay, Queensland, where a substantial proportion of the population stop over early in the southern migration. Photo-identification data were collected over 10 weeks per year from 1997 to 2009. The migration through Hervey Bay is dominated and led by females with high fidelity to the site. Mature females, yearlings, and immature whales use the Bay during August, while mature lactating females with calves dominate during September and October. Complex social behaviours occur throughout the season and differ between the early and late cohorts. We argue that the composition of the two cohorts and their distinctively different behaviours indicate that Hervey Bay is not simply a resting site but an area of aggregation that serves important social and biological benefits. A multistate open robust design model was fitted to capture–recapture data to estimate the annual number of whales visiting the Bay, the permanent emigration rate, proportions of the visiting population that do not enter the Bay each year, the number present during each week, and their residency times. The number of annual visitors to the Bay increased approximately linearly from 857 in 1997 to 2175 at the end of sampling in 2009 with two-thirds migrating through during the first half of each season. The population rate of growth may have been slowing by 2009, but there was considerable uncertainty in the trajectory and little basis for projection into the future. While it is desirable to know the current status of the Hervey Bay population and what has occurred since 2009, the cost and effort required make further manual collection and matching of images unlikely. The development of AI algorithmic matching software may enable further research in future.

  10. f

    Population of Green, Yellow, and Red: classified using the LKL and UKL (LKL...

    • plos.figshare.com
    xls
    Updated Apr 1, 2025
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    Firooz Salami; Mustafa Erkam Ozates; Yunus Ziya Arslan; Sebastian Immanuel Wolf (2025). Population of Green, Yellow, and Red: classified using the LKL and UKL (LKL & UKL), predicted using the LDA model (LDA), and the matched between classified and predicted labels (Matched) for the test group (122 subjects). F-Score (%) and model accuracy (%) of the LDA model are also presented. The last raw presents the results for the sum of the Green and Yellow labels. [Dataset]. http://doi.org/10.1371/journal.pone.0320793.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Firooz Salami; Mustafa Erkam Ozates; Yunus Ziya Arslan; Sebastian Immanuel Wolf
    License

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

    Description

    Population of Green, Yellow, and Red: classified using the LKL and UKL (LKL & UKL), predicted using the LDA model (LDA), and the matched between classified and predicted labels (Matched) for the test group (122 subjects). F-Score (%) and model accuracy (%) of the LDA model are also presented. The last raw presents the results for the sum of the Green and Yellow labels.

  11. f

    Patient demographics and prior diagnoses.

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Keren B. Aharon; Avital Gershfeld-Litvin; On Amir; Irene Nabutovsky; Robert Klempfner (2023). Patient demographics and prior diagnoses. [Dataset]. http://doi.org/10.1371/journal.pone.0273815.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Keren B. Aharon; Avital Gershfeld-Litvin; On Amir; Irene Nabutovsky; Robert Klempfner
    License

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

    Description

    Patient demographics and prior diagnoses.

  12. U.S. Facebook users 2025, by age group

    • statista.com
    • ai-chatbox.pro
    Updated May 26, 2025
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    Statista (2025). U.S. Facebook users 2025, by age group [Dataset]. https://www.statista.com/statistics/187549/facebook-distribution-of-users-age-group-usa/
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    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Description

    As of January 2025, 24.2 percent of Facebook users in the United States were aged between 25 and 34 years, making up Facebook’s largest audience in the country. Overall, 19 percent of users belonged to the 18 to 24-year age group. Does everyone in the U.S. use Facebook? In 2023, there were approximately 247 million Facebook users in the U.S., a figure which is projected to steadily increase, and reach 262.8 million by 2028. Social media users in the United States have a very high awareness of the social media giant. Expectedly, 94 percent of users had heard of the brand in 2023. Although the vast majority of U.S. social networkers knew of Facebook, the likeability of the platform was not so impressive at 68 percent. Nonetheless, usage, loyalty, and buzz around the brand remained relatively high. Facebook, Meta, and the metaverse A strategic rebranding from Facebook to Meta Platforms in late 2021 boded well for the company in Mark Zuckerberg’s attempt to be strongly linked to the metaverse, and to be considered more than just a social media company. According to a survey conducted in the U.S. in early 2022, Meta Platforms is the brand that Americans most associated with the metaverse.  

  13. Adult obesity rates in the U.S. by race/ethnicity 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Adult obesity rates in the U.S. by race/ethnicity 2023 [Dataset]. https://www.statista.com/statistics/207436/overweight-and-obesity-rates-for-adults-by-ethnicity/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Black adults had the highest obesity rates of any race or ethnicity in the United States, followed by American Indians/Alaska Natives and Hispanics. As of that time, around ** percent of all Black adults were obese. Asians/Pacific Islanders had by far the lowest obesity rates. Obesity in the United States Obesity is a present and growing problem in the United States. An astonishing ** percent of the adult population in the U.S. is now considered obese. Obesity rates can vary substantially by state, with around ** percent of the adult population in West Virginia reportedly obese, compared to ** percent of adults in Colorado. The states with the highest rates of obesity include West Virginia, Mississippi, and Arkansas. Diabetes Being overweight and obese can lead to a number of health problems, including heart disease, cancer, and diabetes. Being overweight or obese is one of the most common causes of type 2 diabetes, a condition in which the body does not use insulin properly, causing blood sugar levels to rise. It is estimated that just over ***** percent of adults in the U.S. have been diagnosed with diabetes. Diabetes is now the seventh leading cause of death in the United States, accounting for ***** percent of all deaths.

  14. d

    APS 3.3 Investigations: Findings of Abuse By County FY2014-2023

    • datasets.ai
    23, 40, 55, 8
    Updated Aug 25, 2023
    + more versions
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    City of Austin (2023). APS 3.3 Investigations: Findings of Abuse By County FY2014-2023 [Dataset]. https://datasets.ai/datasets/aps-3-3-investigations-findings-of-abuse-by-county-fy2013-2022
    Explore at:
    40, 23, 8, 55Available download formats
    Dataset updated
    Aug 25, 2023
    Dataset authored and provided by
    City of Austin
    Description

    ABOUT THIS CHART Allegation Disposition (Findings) Codes:

    Valid. Based on the standard of preponderance of the evidence, it is more likely than not that the maltreatment occurred.

    Invalid. Based on the standard of preponderance of the evidence, it is more likely than not that the maltreatment did not occur.

    Unable to Determine. A preponderance of the available evidence is insufficient to support a finding of Valid or Invalid.

    Other. The allegation disposition Other is used when an investigation of the allegation was not completed for some reason, e.g. clients died or cases were misclassified.

    1. Family Violence is indicated when a validated investigation has a relative perpetrator, excluding those where financial exploitation is the only confirmed allegation.

    2. Beginning in Fiscal Year 2015, services provided during the investigation are documented in the investigation stage and not in a separate service stage.

    3. The "Other" Disposition category refers to those investigations that workers could not complete, e.g. clients died or cases were misclassified.

    4. The population totals do not match prior DFPS Data Books, printed or online. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated.

    Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio.

    Current population estimates and projections for all years from 2014 to 2023 as of December 2023.

    Visit dfps.state.tx.us for information on all DFPS programs.

  15. d

    B2B Marketing Data | B2B Leads Data | Global Population Data | Consumer Data...

    • datarade.ai
    .csv
    Updated Jul 4, 2024
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    GeoPostcodes (2024). B2B Marketing Data | B2B Leads Data | Global Population Data | Consumer Data Enrichment [Dataset]. https://datarade.ai/data-products/geopostcodes-b2b-marketing-data-population-data-demograph-geopostcodes
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Mali, Russian Federation, Belarus, Armenia, Saint Pierre and Miquelon, Belize, Åland Islands, Wallis and Futuna, Colombia, Gambia
    Description

    A global database of B2B Marketing Data that provides an understanding of population distribution at administrative and zip code level over 55 years, past, present, and future.

    Leverage up-to-date audience targeting population trends for market research, audience targeting, and sales territory mapping.

    Self-hosted marketing population dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The B2B Marketing Data is standardized, unified, and ready to use.

    Use cases for the Global Population Database (B2B Marketing Data/B2B Leads data)

    • Ad targeting

    • B2B Market Intelligence

    • Customer analytics

    • Marketing campaign analysis

    • Demand forecasting

    • Sales territory mapping

    • Retail site selection

    • Reporting

    • Audience targeting

    B2B leads data export methodology

    Our population data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Product Features

    • Historical population data (55 years)

    • Changes in population density

    • Urbanization Patterns

    • Accurate at zip code and administrative level

    • Optimized for easy integration

    • Easy customization

    • Global coverage

    • Updated yearly

    • Standardized and reliable

    • Self-hosted delivery

    • Fully aggregated (ready to use)

    • Rich attributes

    Why do companies choose our B2B Marketing databases

    • Standardized and unified demographic data structure

    • Seamless integration in your system

    • Dedicated location data expert

    Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

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GeoPostcodes (2025). Direct Marketing Data | Global Demographic data | Consumer behavior data | Industry data [Dataset]. https://datarade.ai/data-products/geopostcodes-direct-marketing-data-demographic-data-consu-geopostcodes

Direct Marketing Data | Global Demographic data | Consumer behavior data | Industry data

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.csvAvailable download formats
Dataset updated
Apr 25, 2025
Dataset authored and provided by
GeoPostcodes
Area covered
United Kingdom, Palau, Finland, South Africa, Puerto Rico, Tajikistan, Panama, Oman, Nepal, Western Sahara
Description

A global database of Direct Marketing Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future. Leverage up-to-date audience targeting population trends for market research, audience targeting, and sales territory mapping.

Self-hosted marketing population dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The Demographic Data is standardized, unified, and ready to use.

Use cases for the Global Consumer Behavior Database (Direct Marketing Data)

  • Ad targeting

  • B2B Market Intelligence

  • Customer analytics

  • Audience targeting

  • Marketing campaign analysis

  • Demand forecasting

  • Sales territory mapping

  • Retail site selection

  • Reporting

  • Audience targeting

Demographic data export methodology

Our population data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

  • Historical population data (55 years)

  • Changes in population density

  • Urbanization Patterns

  • Accurate at zip code and administrative level

  • Optimized for easy integration

  • Easy customization

  • Global coverage

  • Updated yearly

  • Standardized and reliable

  • Self-hosted delivery

  • Fully aggregated (ready to use)

  • Rich attributes

Why do companies choose our Consumer databases

  • Standardized and unified demographic data structure

  • Seamless integration in your system

  • Dedicated location data expert

Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

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