7 datasets found
  1. d

    Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US...

    • datarade.ai
    .csv, .xls
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    Consumer Edge, Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US Transaction Data | 100M+ Cards, 12K+ Merchants, Industry, Channel [Dataset]. https://datarade.ai/data-products/consumer-edge-vision-demographic-spending-data-b2c-audience-consumer-edge
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States of America
    Description

    Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

    Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

    Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

    This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

    Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

    Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

    Use Case: Demographics Analysis

    Problem A global retailer wants to understand company performance by age group.

    Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

    Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

    Corporate researchers and consumer insights teams use CE Vision for:

    Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

    Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

    Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

    Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

    Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

    Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

    Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

  2. Urban Influence Codes

    • agdatacommons.nal.usda.gov
    • gimi9.com
    • +3more
    bin
    Updated Apr 23, 2025
    + more versions
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    USDA Economic Research Service (2025). Urban Influence Codes [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Urban_Influence_Codes/25696455
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    binAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    USDA Economic Research Service
    License

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

    Description

    The 2013 Urban Influence Codes form a classification scheme that distinguishes metropolitan counties by population size of their metro area, and nonmetropolitan counties by size of the largest city or town and proximity to metro and micropolitan areas. The standard Office of Management and Budget (OMB) metro and nonmetro categories have been subdivided into two metro and 10 nonmetro categories, resulting in a 12-part county classification. This scheme was originally developed in 1993. This scheme allows researchers to break county data into finer residential groups, beyond metro and nonmetro, particularly for the analysis of trends in nonmetro areas that are related to population density and metro influence.

    An update of the Urban Influence Codes is planned for mid-2023.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Webpage with links to Excel files For complete information, please visit https://data.gov.

  3. d

    Night Heron Time Budget Data

    • datasets.ai
    • data.usgs.gov
    • +1more
    55
    Updated Aug 26, 2024
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    Department of the Interior (2024). Night Heron Time Budget Data [Dataset]. https://datasets.ai/datasets/night-heron-time-budget-data
    Explore at:
    55Available download formats
    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Department of the Interior
    Description

    Parental incubation behavior largely influences nest survival, a critical demographic process in avian population dynamics, and behaviors vary across species with different life history breeding strategies. Although research has identified nest survival advantages of mixing colonies, behavioral mechanisms that might explain these effects is largely lacking. We examined parental incubation behavior using video-monitoring techniques on Alcatraz Island, California, of black-crowned night-heron Nycticorax nycticorax (hereinafter, night-heron) in a mixed-species colony with California gulls Larus californicus and western gulls L. occidentalis. We first quantified general nesting behaviors, incubation constancy, and nest attendance, and a suite of specific nesting behaviors (i.e. inactivity, vigilance, preening, and nest maintenance) with respect to six different daily time periods. We employed linear mixed effects models to investigate environmental and temporal factors as sources of variation in incubation constancy and nest attendance using 211 nest days across three nesting seasons (2010–2012). We found incubation constancy (percent of time on the eggs) and nest attendance (percent of time at the nest) were lower for nests that were located < 3 m from one or more gull nest, which indirectly supports the predator protection hypothesis, whereby heterospecifics provide protection allowing more time for foraging and other self-maintenance activities. To our knowledge, this is the first empirical evidence of the influence of one nesting species on the incubation behavior of another. We also identified distinct differences between incubation constancy and nest attentiveness, indicating that these biparental incubating species do not share similar energetic constraints as those that are observed for uniparental species. Additionally, we found that variation in incubation behavior was a function of temperature and precipitation, where the strength of these effects was dependent on the time of day. Overall, these findings strengthen our understanding of incubation behavior and nest ecology of a colonial-nesting species. This dataset includes variables associated with nesting gulls (VICIN and GULL10).

  4. n

    Data for: Coupling dynamic energy budget and population dynamic models to...

    • data.niaid.nih.gov
    • explore.openaire.eu
    • +2more
    zip
    Updated Jun 20, 2023
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    Yiwen Liu; Chongliang Zhang; Xiujin Wei; Binduo Xu; Ying Xue; Yiping Ren; Yong Chen (2023). Data for: Coupling dynamic energy budget and population dynamic models to inform stock enhancement in fisheries management [Dataset]. http://doi.org/10.5061/dryad.k0p2ngfdc
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    zipAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    Ocean University of China
    Stony Brook University
    Shanghai Ocean University
    Authors
    Yiwen Liu; Chongliang Zhang; Xiujin Wei; Binduo Xu; Ying Xue; Yiping Ren; Yong Chen
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Extensive applications of fishery stock enhancement worldwide bring up broad concerns about its negative effects, creating a pivotal need for science-based assessment and planning of enhancement strategies. However, the lack of mechanistic understanding of enhanced population dynamics, particularly the density-dependent processes, leads to compromise in model development and limits the capacity in predicting enhancement effects. Here, we developed an individual-based model based on dynamic energy budget theory and full life history processes, to understand the mechanism of density dependence in population dynamics that emerge from individual-level processes. We demonstrated the utility of the model framework by applying it to an extensively enhanced species, Chinese prawn (Fenneropenaeus chinensis, Penaeidae). The model could yield projections reflecting the observed trajectory of population biomass and yields. The model also delineated the key effects of density dependence on the vital rates of growth, fecundity, and starvation mortality. Regarding the manifold effects of stock enhancement, we demonstrated a dampened shape in population biomass and yields with increasing magnitude of enhancement, and trade-offs between the ecological and economic objectives, i.e., pursuing high benefit might compromise the wild population without proper management. Furthermore, we illustrated the possibility of combining stock enhancement and harvest regulation in promoting population recovery while maintaining fisheries yields. We highlight the potential of the proposed model for understanding density dependence in enhancement program, and for designing integrated management strategies. The approach developed herein may serve as a general approach to assess the population dynamics in stock enhancement and inform enhancement management.

  5. Rural-Urban Continuum Codes

    • catalog.data.gov
    • datadiscoverystudio.org
    • +4more
    Updated Apr 21, 2025
    + more versions
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    Economic Research Service, Department of Agriculture (2025). Rural-Urban Continuum Codes [Dataset]. https://catalog.data.gov/dataset/rural-urban-continuum-codes
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Description

    The 2013 Rural-Urban Continuum Codes form a classification scheme that distinguishes metropolitan counties by the population size of their metro area, and nonmetropolitan counties by degree of urbanization and adjacency to a metro area. The official Office of Management and Budget (OMB) metro and nonmetro categories have been subdivided into three metro and six nonmetro categories. Each county in the U.S. is assigned one of the 9 codes. This scheme allows researchers to break county data into finer residential groups, beyond metro and nonmetro, particularly for the analysis of trends in nonmetro areas that are related to population density and metro influence. The Rural-Urban Continuum Codes were originally developed in 1974. They have been updated each decennial since (1983, 1993, 2003, 2013), and slightly revised in 1988. Note that the 2013 Rural-Urban Continuum Codes are not directly comparable with the codes prior to 2000 because of the new methodology used in developing the 2000 metropolitan areas. See the Documentation for details and a map of the codes. An update of the Rural-Urban Continuum Codes is planned for mid-2023.

  6. A

    Gallup Polls, 1973

    • abacus.library.ubc.ca
    txt
    Updated Nov 18, 2009
    + more versions
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    Abacus Data Network (2009). Gallup Polls, 1973 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml;jsessionid=aa36fe9b79c7a41d63f822218faf?persistentId=hdl%3A11272.1%2FAB2%2F8HBYAR&version=&q=&fileTypeGroupFacet=&fileAccess=Restricted
    Explore at:
    txt(23528)Available download formats
    Dataset updated
    Nov 18, 2009
    Dataset provided by
    Abacus Data Network
    Area covered
    Canada, Canada (CA)
    Description

    This dataset covers ballots 357-62 spanning January, March, May, July, September, and November 1973. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 357 - January This Gallup poll seeks the opinions of Canadians, on predominantly political and social issues. The questions ask opinions about political leaders and political issues within the country. There are also questions regarding immigrants, the Olympic Games and pollution. The respondents were also asked questions so that they could be groupe according to geographical variables. Topics of interest include: whether or not there is a bit of Archie Bunker in all of us; the Canadian pollution clean up record; cancelling the Olympic Games in Montreal; changing attitudes due to the women's liberation; comparing family income with the average; duration of the new parliament; effect of the husband's declining role in the family; the effect of immigrants; the effect of women working on the family; the expansion of the CFL; the husband's dominance in the family; the outcome of a fallen minority government; the Queen abdicating for Prince Charles; and the satisfaction with the direction of the country. Basic demographic variables are also included. 358 - March This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about political leaders and political issues within the country. There are also questions regarding movies, parole for re-offenders and white collar workers. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: allowing prisoner with a prior record to go on parole; creating a union for white collar workers; the changing attitudes towards illegitimacy; the date a movie was last attended; the degree of honesty in wives; the effects of a minority government; the effects of the Federal budget; the effect of the Mackenzie Valley Pipeline; whether or not the respondent gets the amount of respect deserved; interest in Canadian films; how interesting movies are; nationalizing energy resources; opinions about Lewis; opinions about Stanfield; opinions about Trudeau; rating the Federal budget; requiring theatres to show Canadian films; sending Canadian troops to Vietnam; and wage and price controls. Basic demographic variables are also included. 359 - May This Gallup poll aims to collect the opinions of Canadians on the leading topics of the day. The questions are about politics, religion, the federal government and policies. Some of the subjects are marriage between different religions and ethnicities, choosing a doctor and bilingual policy. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Attraction to new ideas; bilingual policies; choosing a doctor; federal government; increase in food price; trying marijuana; marriage; separation of Quebec from Canada; religion; reporters and revealing their sources; taxes; unions; visiting Canadian Provinces; voting behaviour; and what is expected to rise most within the next year. Basic demographic variables are also included. 360 - July This Gallup poll seeks the opinions of Canadians, on predominantly political issues and social issues. The questions ask opinions about political leaders and political issues within the country and around the world. There are also questions on topics such as honesty of advertising; Watergate and the price of medicals. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the Canadian withdrawal from Vietnam; the date of the respondent's last medical examination; the effectiveness of the Liberal government; the governments handling of the economy; the influence of multinational companies; whether or not insurance should cover routine medical examinations; the least amount of money a family of four needs; the use of Ms. as an alternative address; the opinion of External Affairs Minister Mitchell Sharp; the opinion of Finance Minister John Turner; the probability of a Canadian gas shortage; reasons for United States gas shortage; satisfaction levels; the truthfulness of advertising; and the Watergate affair. Basic demographic variables are also included. 361 - September This Gallup poll seeks the opinions of Canadians, on both social and political issues. The questions ask opinions about political leaders, the upcoming election and issues regarding international relations. It also asks questions involving the metric system, striking unions and Daylight Savings time. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: changing eating habits due to increasing prices; confidence in the United States' problem solving; conflicts of interest among levels of government; countries becoming Republics; disliking other countries; the effects of Confederation; the increasing price of food; metric conversions; the most important problems facing Canada; which party would get the most votes if an election was called; the NDP supporting the minority government; the performance of the Liberal cabinet; the political party that can best handle the problems in Canada; remaining on Daylight Savings all year and strikes due to the attitude of management. Basic demographic variables are also included. 362 - November This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political issues within the country as well as touching on various social issues. Some of these questions involve opinions about unemployment; standard of living and divorce. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: continuing with a minority government; the expectation of there being a Federal election within the year; the expectations of an oil or gas shortage in Canada; fairness of the media coverage of Watergate; guaranteed annual income; the fear of information sharing between credit investigators; level of standard of living; limiting campaign spending; the mode of transportation to work; the most admired Federal MP; possibility of peace between Israelis and Arabs; peacekeeping in the Middle East; satisfaction with housing situation; having to split assets due to divorce; amount of sympathy felt towards Israelis and Arabs; amount of travel time to work; type of employment; and the willingness to freeze wages. Basic demographic variables are also included.

  7. US Gini Coefficient

    • redivis.com
    • columbia.redivis.com
    application/jsonl +7
    Updated Aug 18, 2020
    + more versions
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    Redivis Demo Organization (2020). US Gini Coefficient [Dataset]. https://redivis.com/datasets/fme1-3tf0n6q1d
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    application/jsonl, arrow, spss, sas, csv, stata, parquet, avroAvailable download formats
    Dataset updated
    Aug 18, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Redivis Demo Organization
    Time period covered
    Jan 1, 2010 - Dec 31, 2018
    Area covered
    United States
    Description

    Abstract

    This dataset contains tables that match an estimated Gini coefficient to a specific geographic region (either census tract, county, or state) from 2010 to 2018. The 1-year estimates are produced by the American Community Survey (ACS).

    Documentation

    *The passage below comes from the US Census website:*

    GINI INDEX OF INCOME INEQUALITYSurvey/Program: American Community SurveyUniverse: HouseholdsYear: 2018Estimates: 1-YearTable ID: B19083

    Source: U.S. Census Bureau, 2018 American Community Survey 1-Year Estimates Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties. Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation ). The effect of nonsampling error is not represented in these tables. While the 2018 American Community Survey (ACS) data generally reflect the July 2015 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas, in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities. Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization. Explanation of Symbols: Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.

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Consumer Edge, Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US Transaction Data | 100M+ Cards, 12K+ Merchants, Industry, Channel [Dataset]. https://datarade.ai/data-products/consumer-edge-vision-demographic-spending-data-b2c-audience-consumer-edge

Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US Transaction Data | 100M+ Cards, 12K+ Merchants, Industry, Channel

Explore at:
.csv, .xlsAvailable download formats
Dataset authored and provided by
Consumer Edge
Area covered
United States of America
Description

Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Demographics Analysis

Problem A global retailer wants to understand company performance by age group.

Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

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