10 datasets found
  1. Main sources where information on personal luxury items is accessed in the...

    • statista.com
    Updated Jul 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Main sources where information on personal luxury items is accessed in the U.S. 2018 [Dataset]. https://www.statista.com/forecasts/876315/information-sources-for-personal-luxury-items-in-the-us
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 15, 2018 - May 22, 2018
    Area covered
    United States
    Description

    The displayed data shows the main sources where consumers gather information about personal luxury items which comes from the results of a Statista survey conducted in the United States in 2018. Some ** percent of respondents stated that they informed themselves about personal luxury items more online.The Survey Data Table for the Statista survey Luxury in the United States 2018 contains the complete tables for the survey including various column headings.

  2. American Community Survey: 1-Year Estimates: Data Profiles 1-Year

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jul 19, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Census Bureau (2023). American Community Survey: 1-Year Estimates: Data Profiles 1-Year [Dataset]. https://catalog.data.gov/dataset/american-community-survey-1-year-estimates-data-profiles-1-year-a28e5
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) is a uswide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself. The American Community Survey produces demographic, social, housing and economic estimates in the form of 1 and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The data profiles provide key estimates for each of the topic areas covered by the ACS for the us, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Although the 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 us, states, counties, cities and towns, and estimates of housing units for states and counties. For 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units.

  3. CDC - BRFSS Survey Data 2024

    • kaggle.com
    zip
    Updated Nov 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rudrita Rahman (2025). CDC - BRFSS Survey Data 2024 [Dataset]. https://www.kaggle.com/datasets/rudritarahman/cdc-brfss-survey-data-2024
    Explore at:
    zip(160243325 bytes)Available download formats
    Dataset updated
    Nov 5, 2025
    Authors
    Rudrita Rahman
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Behavioral Risk Factor Surveillance System (BRFSS) 2024

    Overview

    The Behavioral Risk Factor Surveillance System (BRFSS) is the nation's premier system of health-related telephone surveys that collect uniform, state-specific data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services.

    The objective of the BRFSS is to gather consistent, state-level data on preventive health practices and risk behaviors associated with chronic diseases, injuries, and preventable infectious diseases among adults (aged 18 and older).

    Established in 1984 with 15 states, the BRFSS now collects data in all 50 states, the District of Columbia, and three U.S. territories. The system completes more than 400,000 adult interviews each year, making it the largest continuously conducted health survey system in the world.

    2024 Data Notes

    The 2024 BRFSS dataset continues to use the raking weighting methodology (introduced in 2011) and includes both landline and cellphone-only respondents, ensuring more accurate representation of the U.S. adult population.

    The aggregate dataset combines landline and cell phone data collected in 2024 from 49 states, The District of Columbia, Guam, Puerto Rico, and The U.S. Virgin Islands.

    This original dataset contains responses from 457,670 individuals and has 301 features. These features are either questions directly asked of participants, or calculated variables based on individual participant responses.

    ⚠️ Note: Tennessee was unable to collect enough responses to meet inclusion requirements for 2024 and is not included in this public dataset.

    Certain survey questions and responses have been modified or omitted to comply with federal data policies in effect during the 2024 collection period. As a result, some variables may contain missing values or appear inconsistent due to questions that were removed or restructured.

    Data Collection

    Data are collected from a random sample of adults (one per household) via telephone interviews.

    Factors assessed include: - Tobacco use - Health care access and coverage - Alcohol consumption - Physical activity and diet - HIV/AIDS knowledge and prevention - Chronic health conditions
    - Preventive health services and screenings

    Content

    The annual dataset contains 301 variables, covering both core questions and optional modules. Please refer to the official BRFSS 2024 Codebook for detailed variable definitions and coding.

    This dataset contains 3 files: 1. brfss_survey_data_2024.csv # Dataset in .csv format (converted from SAS) 2. codebook_2024.HTML # CDC codebook for variable definitions
    3. main_data_brfss_2024.XPT # Main dataset

    ⚙️ Note: The CSV file were converted from the original SAS format using pandas. Minor conversion artifacts may exist.

    Complete description about each column of the CSV file can be found in the codebook.

    Source & Acknowledgements

    Data provided by the U.S. Centers for Disease Control and Prevention (CDC).

    Original source and additional years of BRFSS data: CDC BRFSS Annual Data

    Citation:

    Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2024.

    License: Public Domain (U.S. Government Work)

    Suggested Citation (for Kaggle users)

    If you use this dataset in your analysis or publication, please cite as:

    Behavioral Risk Factor Surveillance System (BRFSS) 2024. U.S. Centers for Disease Control and Prevention (CDC). Public Domain.

    Prepared for Kaggle public dataset publication. All data are in the public domain as U.S. Government works.

  4. u

    Data from: What We Eat In America (WWEIA) Database

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +1more
    bin
    Updated Nov 22, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention; National Center for Health Statistics (2025). What We Eat In America (WWEIA) Database [Dataset]. http://doi.org/10.15482/USDA.ADC/1178144
    Explore at:
    binAvailable download formats
    Dataset updated
    Nov 22, 2025
    Dataset provided by
    Food Surveys Research Group
    Authors
    Centers for Disease Control and Prevention; National Center for Health Statistics
    License

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

    Area covered
    United States
    Description

    What We Eat in America (WWEIA) is the dietary intake interview component of the National Health and Nutrition Examination Survey (NHANES). WWEIA is conducted as a partnership between the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services (DHHS). Two days of 24-hour dietary recall data are collected through an initial in-person interview, and a second interview conducted over the telephone within three to 10 days. Participants are given three-dimensional models (measuring cups and spoons, a ruler, and two household spoons) and/or USDA's Food Model Booklet (containing drawings of various sizes of glasses, mugs, bowls, mounds, circles, and other measures) to estimate food amounts. WWEIA data are collected using USDA's dietary data collection instrument, the Automated Multiple-Pass Method (AMPM). The AMPM is a fully computerized method for collecting 24-hour dietary recalls either in-person or by telephone. For each 2-year data release cycle, the following dietary intake data files are available: Individual Foods File - Contains one record per food for each survey participant. Foods are identified by USDA food codes. Each record contains information about when and where the food was consumed, whether the food was eaten in combination with other foods, amount eaten, and amounts of nutrients provided by the food. Total Nutrient Intakes File - Contains one record per day for each survey participant. Each record contains daily totals of food energy and nutrient intakes, daily intake of water, intake day of week, total number foods reported, and whether intake was usual, much more than usual or much less than usual. The Day 1 file also includes salt use in cooking and at the table; whether on a diet to lose weight or for other health-related reason and type of diet; and frequency of fish and shellfish consumption (examinees one year or older, Day 1 file only). DHHS is responsible for the sample design and data collection, and USDA is responsible for the survey’s dietary data collection methodology, maintenance of the databases used to code and process the data, and data review and processing. USDA also funds the collection and processing of Day 2 dietary intake data, which are used to develop variance estimates and calculate usual nutrient intakes. Resources in this dataset:Resource Title: What We Eat In America (WWEIA) main web page. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/wweianhanes-overview/ Contains data tables, research articles, documentation data sets and more information about the WWEIA program. (Link updated 05/13/2020)

  5. Racial and Ethnic Approaches to Community Health across the US Risk Factor...

    • datacatalog.med.nyu.edu
    Updated Oct 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United States - Centers for Disease Control and Prevention (CDC) (2025). Racial and Ethnic Approaches to Community Health across the US Risk Factor Survey [Dataset]. https://datacatalog.med.nyu.edu/dataset/10105
    Explore at:
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    United States - Centers for Disease Control and Prevention (CDC)
    Time period covered
    Jan 1, 2009 - Dec 31, 2013
    Area covered
    New Mexico, Virginia, Oklahoma, West Virginia, North Carolina, California, Ohio, Illinois, Arizona, Georgia
    Description

    The Racial and Ethnic Approaches to Community Health (REACH) program is a Centers for Disease Control and Prevention (CDC) effort to eliminate ethnic and racial health disparities. The REACH US Risk Factor Survey was conducted annually between 2009 and 2013 in order to monitor progress and achievements in the REACH US program. Survey participants were recruited from 28 REACH US grantee communities to gather health-related information in areas where community health interventions were taking place.

    Adults aged 18 years or older in the REACH communities completed surveys by phone, mail, or in-person. Communities surveyed were located in Arizona, California, Georgia, Hawaii, Illinois, Massachusetts, New Mexico, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Virginia, Washington, and West Virginia. Approximately 1,000 surveys were conducted in each of the 28 communities during each of the four years.

  6. Data from: National Survey of America's Families (NSAF), 2002

    • childandfamilydataarchive.org
    ascii, sas, spss +1
    Updated Oct 3, 2007
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Inter-university Consortium for Political and Social Research [distributor] (2007). National Survey of America's Families (NSAF), 2002 [Dataset]. http://doi.org/10.3886/ICPSR04582.v1
    Explore at:
    sas, stata, ascii, spssAvailable download formats
    Dataset updated
    Oct 3, 2007
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/4582/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4582/terms

    Time period covered
    Feb 2002 - Oct 2002
    Area covered
    United States
    Description

    The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview. Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below: A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence. B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent. It also covered questions about the respondent's awareness of specific insurance programs such as Medicaid, and those associated with the Children's Health Insurance Program (CHIP). C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school. D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated. E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage. F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included. G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs. H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support. I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partner for the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members. J. Family Income. Family income was also identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Temporary Assistance for Needy Families [TANF], General Assistance, Emergency Assistance, or vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment c

  7. 2022 Economic Census: EC2251BASIC | Information: Summary Statistics for the...

    • data.census.gov
    Updated Dec 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2024). 2022 Economic Census: EC2251BASIC | Information: Summary Statistics for the U.S., States, and Selected Geographies: 2022 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022) [Dataset]. https://data.census.gov/table/ECNBASIC2022.EC2251BASIC?q=Carus+Fernandez+Pa
    Explore at:
    Dataset updated
    Dec 5, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Information: Summary Statistics for the U.S., States, and Selected Geographies: 2022.Table ID.ECNBASIC2022.EC2251BASIC.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2024-12-05.Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesRange indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels and selected 7-digit 2022 NAICS-based code levels. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who create their own estimates us...

  8. i

    Family Life Survey 2005, Second Wave - Mexico

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    Updated Jun 26, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Iberoamerican University (UIA) (2017). Family Life Survey 2005, Second Wave - Mexico [Dataset]. https://datacatalog.ihsn.org/catalog/7071
    Explore at:
    Dataset updated
    Jun 26, 2017
    Dataset provided by
    Center for Economic Research and Teaching (CIDE)
    Iberoamerican University (UIA)
    Time period covered
    2005 - 2006
    Area covered
    Mexico
    Description

    Abstract

    The MxFLS is the first longitudinal survey in Mexico that follows individuals across rounds, including those who migrate within Mexico or emigrate to the Unites States of America. This allows studying the well-being of the Mexican population, and its transitions over time, as well as the factors that determine those transitions. Given that the MxFLS provides information for individuals who emigrated to the USA, it is possible to study, for the first time, migration dynamics between Mexico and the USA.

    A primary goal of the Mexican Family Life Survey (MxFLS) is to create a longitudinal and multi-thematic database. On the one hand, this allows a long term tracking of individuals regardless of change in residence, newly formed homes or home conversions; and on the other hand, these characteristics will be beneficial in their use of a single tool collecting economic, demographic and health population indicators of the Mexican population. The survey’s first round (MxFLS-1) took place during the year 2002 reaching a sample size of 35 thousand individual interviews in 150 urban and rural locations throughout the country. The second round (MxFLS-2) ended during 2006 with 90 per cent a re-contact rate at the household level. During this second operational phase of tracking and interviewing original households between 2002 and 2006, those who migrated to the United States were contacted at a rate of over 91 per cent. Within this content, MxFLS-2 provides statistical evidence on the flow of internal migration into the United States, on population and on the welfare dynamics of the Mexican people that relocate within the country and in the US. This is regardless of whether or not they remain or return to their national territory and/or community of origin.

    The MxFLS provides data to analyze the well-being of the Mexican population, and its transitions over time, as well as the factors that determine those transitions.

    Geographic coverage

    National coverage

    Analysis unit

    • Household
    • Individual
    • Community

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sampling design The design of the first round, the baseline survey (MxFLS-1), was undertaken by the National Institute of Statistics and Geography (INEGI, per its name in Spanish). The baseline sample is probabilistic, stratified, multi-staged, and independent at every phase of the study. The population is comprised by Mexican households in 2002. Primary sampling units were selected under criterions of national, urban-rural and regional representation on pre-established demographic and economic variables. Regional definitions are in accordance with the National Development Plan 2000-2006.

    Longitudinal design The first round or baseline survey (MXFLS-1), implemented in 2002, and collected information on a sample of 35,000 individuals from 8,400 households in 150 communities throughout the country. The second (MxFLS-2) was conducted during 2005-2006. Given the longitudinal design of the survey, the MxFLS-2 aimed to relocate and re-interview the sample of the MxFLS-1-including those individuals who migrated within Mexico or emigrated to the United States of America-and to interview the individuals or households that grew out from previous samples. The MxFLS-2 relocated and re-interviewed almost 90 percent of the original sampled households.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The 2005 MxFLS-2 follows the content, design and structure of MxFLS-1 questionnaires. Additionally, MxFLS-2 contains innovative modules collecting data on child upbringing, individual expectations, seasonal preferences, altruistic behavior and risk taking.

  9. 2022 Economic Surveys: AB00MYCSA01A | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated Dec 19, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2024). 2022 Economic Surveys: AB00MYCSA01A | Annual Business Survey: Statistics for Employer Firms by Sex for the U.S.: 2022 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2022.AB00MYCSA01A
    Explore at:
    Dataset updated
    Dec 19, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Sex for the U.S.: 2022.Table ID.ABSCS2022.AB00MYCSA01A.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2024-12-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Sex Female Male Equally male/female Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2022 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2022 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0351).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2022/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsS - Estimate does not meet publication standards bec...

  10. 2017 Economic Surveys: AB00MYCSA01B | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated May 19, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2020). 2017 Economic Surveys: AB00MYCSA01B | Annual Business Survey: Statistics for Employer Firms by Ethnicity for the U.S.: 2017 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2017.AB00MYCSA01B?q=AB00MYCSA01B
    Explore at:
    Dataset updated
    May 19, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2017
    Area covered
    United States
    Description

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Ethnicity for the U.S.: 2017.Table ID.ABSCS2017.AB00MYCSA01B.Survey/Program.Economic Surveys.Year.2017.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2020-05-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Ethnicity Hispanic Mexican, Mexican American, Chicano Puerto Rican Cuban Other Hispanic, Latino, or Spanish Equally Hispanic/non-Hispanic Non-Hispanic Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2017 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY20-008).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2017/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data ...

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Main sources where information on personal luxury items is accessed in the U.S. 2018 [Dataset]. https://www.statista.com/forecasts/876315/information-sources-for-personal-luxury-items-in-the-us
Organization logo

Main sources where information on personal luxury items is accessed in the U.S. 2018

Explore at:
Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
May 15, 2018 - May 22, 2018
Area covered
United States
Description

The displayed data shows the main sources where consumers gather information about personal luxury items which comes from the results of a Statista survey conducted in the United States in 2018. Some ** percent of respondents stated that they informed themselves about personal luxury items more online.The Survey Data Table for the Statista survey Luxury in the United States 2018 contains the complete tables for the survey including various column headings.

Search
Clear search
Close search
Google apps
Main menu