19 datasets found
  1. 2021 Federal Census: 25% Data (Long Form)

    • data.edmonton.ca
    application/rdfxml +5
    Updated Oct 26, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). 2021 Federal Census: 25% Data (Long Form) [Dataset]. https://data.edmonton.ca/Census/2021-Federal-Census-25-Data-Long-Form-/9325-erna
    Explore at:
    csv, json, application/rssxml, tsv, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Oct 26, 2023
    Dataset authored and provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Description

    Statistics Canada data from the 2021 Census of Population, aligned to Edmonton's neighbourhood boundaries. For the neighbourhood boundaries as they were at the time of the census, please see https://data.edmonton.ca/d/5bk4-5txu.

    Source: Statistics Canada, 2021 Census of Population, 2023-06-23. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. Please see https://www.statcan.gc.ca/eng/reference/licence and https://www.statcan.gc.ca/eng/reference/licence-faq for the terms of the Statistics Canada Open Licence.

    Note that if you use this data to create another product, an additional acknowledgement is required: "Adapted from Statistics Canada, 2023 Census of Population, . This does not constitute an endorsement by Statistics Canada of this product."

    Missing Values: - Default missing value .. Not available for a specific reference period x Suppressed to meet the confidentiality requirements of the Statistics Act ... Not applicable F Too unreliable to be published

  2. v

    2021 Short Form Census (100% Sample) broken down by neighbourhood

    • opendata.victoria.ca
    Updated Nov 29, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Victoria (2023). 2021 Short Form Census (100% Sample) broken down by neighbourhood [Dataset]. https://opendata.victoria.ca/datasets/804bf4a2fd1346da92e631e43f2288c2
    Explore at:
    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    City of Victoria
    License

    https://opendata.victoria.ca/pages/open-data-licencehttps://opendata.victoria.ca/pages/open-data-licence

    Description

    2021 Short Form Census data (100% sample) broken down by neighbourhood. The data breakdown per neighbourhood is a special data request from Statistics Canada, with help from the Capital Regional District. Data were adapted from the 2021 National Household Survey (short form census questionnaire). Notable differences from the 2016 census data are that Harris Green was not reported in the census (the area is now included in Downtown), and North and South Jubilee are now Jubilee.Data quality:Victoria; City [Census subdivision]; British ColumbiaTotal non-response (TNR) rate, short-form census questionnaire: 4.0%Total non-response (TNR) rate, long-form census questionnaire: 5.3%Source: Statistics Canada, 2021 Census of Population.Focus on Geography Series, 2021 Census - Victoria (Census subdivision) (statcan.gc.ca)

  3. Northern Ireland Census 2021 - DT-0006: Country of birth (12 categories) by...

    • statistics.ukdataservice.ac.uk
    csv, xlsx
    Updated Jun 10, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2024). Northern Ireland Census 2021 - DT-0006: Country of birth (12 categories) by Religion or religion brought up in [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/northern-ireland-census-2021-dt-0006-country-of-birth-12-by-religion-or-religion-brought-up-in
    Explore at:
    csv, xlsxAvailable download formats
    Dataset updated
    Jun 10, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Northern Ireland Statistics and Research Agency
    UK Data Servicehttps://ukdataservice.ac.uk/
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    Ireland, Northern Ireland
    Description

    This table provides Census 2021 estimates that classify people by Country of birth (12 categories) by Religion or religion brought up in for Northern Ireland. The table contains 48 counts.

    The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

    notes

    1. 'EU' is the European Union and is as defined on census day (21 March 2021).
    2. People who gave 'Cyprus' as their country of birth are included within the 'Europe: Other EU countries' category.
    3. 'Europe: Other Non-EU countries' includes United Kingdom (part not specified) and Ireland (part not specified).
    4. 'Religion' indicates religion, religious denomination or body.
    5. 'Catholic' includes those who gave their current religion as Catholic or Roman Catholic.

    Quality assurance report can be found here

  4. T

    Vital Signs: Poverty - by city (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 3, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Vital Signs: Poverty - by city (2022) [Dataset]. https://data.bayareametro.gov/w/qgxa-b4zm/default?cur=Cnf5S2Q7aNM
    Explore at:
    json, tsv, csv, xml, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 3, 2023
    Description

    VITAL SIGNS INDICATOR
    Poverty (EQ5)

    FULL MEASURE NAME
    The share of the population living in households that earn less than 200 percent of the federal poverty limit

    LAST UPDATED
    January 2023

    DESCRIPTION
    Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

    DATA SOURCE
    U.S Census Bureau: Decennial Census - http://www.nhgis.org
    1980-2000

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2007-2021
    Form C17002

    CONTACT INFORMATION
    vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

    For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or non-cash benefits (such as public housing, Medicaid and food stamps).

    For the national poverty level definitions by year, see: US Census Bureau Poverty Thresholds - https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html.

    For an explanation on how the Census Bureau measures poverty, see: How the Census Bureau Measures Poverty - https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html.

    American Community Survey (ACS) 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

  5. T

    Vital Signs: Commute Time (by Place of Residence) – by metro (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 4, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Vital Signs: Commute Time (by Place of Residence) – by metro (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Commute-Time-by-Place-of-Residence-by-/vnpw-8gr4
    Explore at:
    application/rdfxml, application/rssxml, csv, tsv, json, xmlAvailable download formats
    Dataset updated
    Jan 4, 2023
    Description

    VITAL SIGNS INDICATOR
    Commute Time (T3)

    FULL MEASURE NAME
    Commute time by residential location

    LAST UPDATED
    January 2023

    DESCRIPTION
    Commute time refers to the average number of minutes a commuter spends traveling to work on a typical day. The dataset includes metropolitan area, county, city, and census tract tables by place of residence.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census - http://www.bayareacensus.ca.gov/transportation.htm

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2006-2021
    Form C08136
    Form C08536
    Form B08301
    Form B08301
    Form B08301

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    For the decennial Census datasets, breakdown of commute times was unavailable by mode; only overall data could be provided on a historical basis.

    For the American Community Survey (ACS) datasets, 1-year rolling average data was used for all metros, region and county geographic levels, while 5-year rolling average data was used for cities and tracts. This is due to the fact that more localized data is not included in the 1-year dataset across all Bay Area cities. Similarly, modal data is not available for every Bay Area city or census tract, even when the 5-year data is used for those localized geographies.

    Regional commute times were calculated by summing aggregate county travel times and dividing by the relevant population; similarly, modal commute times were calculated using aggregate times and dividing by the number of communities choosing that mode for the given geography.

    Census tract data is not available for tracts with insufficient numbers of residents. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary metropolitan statistical areas (MSAs) for the nine other major metropolitan areas.

  6. v

    2021 Long Form Census (25% Sample) broken down by neighbourhood

    • opendata.victoria.ca
    Updated Nov 29, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Victoria (2023). 2021 Long Form Census (25% Sample) broken down by neighbourhood [Dataset]. https://opendata.victoria.ca/datasets/5eaa36372a7646d2945abfb4c3ea7828
    Explore at:
    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    City of Victoria
    License

    https://opendata.victoria.ca/pages/open-data-licencehttps://opendata.victoria.ca/pages/open-data-licence

    Description

    2021 Long Form Census data (25% sample) broken down by neighbourhood. The data breakdown per neighbourhood is a special data request from Statistics Canada, with help from the Capital Regional District. Data were adapted from the 2021 National Household Survey (long form census). Notable differences from the 2016 census data are that Harris Green was not reported in the census (the area is now included in Downtown), and North and South Jubilee are now Jubilee.Data quality:Victoria; City [Census subdivision]; British ColumbiaTotal non-response (TNR) rate, short-form census questionnaire: 4.0%Total non-response (TNR) rate, long-form census questionnaire: 5.3%Source: Statistics Canada, 2021 Census of Population.Focus on Geography Series, 2021 Census - Victoria (Census subdivision) (statcan.gc.ca)

  7. Participation Survey 2023–24 annual publication

    • gov.uk
    Updated Feb 13, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department for Culture, Media and Sport (2025). Participation Survey 2023–24 annual publication [Dataset]. https://www.gov.uk/government/statistics/participation-survey-2023-24-annual-publication
    Explore at:
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Culture, Media and Sport
    Description

    13 February 2025 - A small number of figures have had revisions due to a minor processing error. The corresponding data tables and annual report have been updated. This does not affect any other findings. We expect we may make a small number of similar minor revisions at the end of March, but not to any of our headline indicators.

    The Participation Survey started in October 2021 and is the key evidence source on engagement for DCMS. It is a continuous push-to-web household survey of adults aged 16 and over in England.

    The Participation Survey provides nationally representative estimates of physical and digital engagement with the arts, heritage, museums & galleries, and libraries, as well as engagement with tourism, major events, live sports and digital.

    In 2023/24, DCMS partnered with Arts Council England (ACE) to boost the Participation Survey to be able to produce meaningful estimates at Local Authority level. This has enabled us to have the most granular data we have ever had, which means there were some new questions and changes to existing questions, response options and definitions in the 23/24 survey. The questionnaire for 2023/24 has been developed collaboratively to adapt to the needs and interests of both DCMS and ACE.

    • Released: 24 July 2024.
    • Period covered: May 2023 to March 2024.
    • Geographic coverage: National , regional and local authority level data for England.
    • Next release date: September 2024.

    The Participation Survey is only asked of adults in England. Currently there is no harmonised survey or set of questions within the administrations of the UK. Data on participation in cultural sectors for the devolved administrations is available in the https://www.gov.scot/collections/scottish-household-survey/" class="govuk-link">Scottish Household Survey, https://gov.wales/national-survey-wales" class="govuk-link">National Survey for Wales and https://www.communities-ni.gov.uk/topics/statistics-and-research/culture-and-heritage-statistics" class="govuk-link">Northern Ireland Continuous Household Survey.

    The pre-release access document above contains a list of ministers and officials who have received privileged early access to this release of Participation Survey data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours. Details on the pre-release access arrangements for this dataset are available in the accompanying material.

    Our statistical practice is regulated by the OSR. OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/the-code/" class="govuk-link">Code of Practice for Statistics that all producers of official statistics should adhere to.

    You are welcome to contact us directly with any comments about how we meet these standards by emailing evidence@dcms.gov.uk. Alternatively, you can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.

    Patterns were identified in Census 2021 data that suggest that some respondents may not have interpreted the gender identity question as intended, notably those with lower levels of English language proficiency. https://www.scotlandscensus.gov.uk/2022-results/scotland-s-census-2022-sexual-orientation-and-trans-status-or-history/" class="govuk-link">Analysis of Scotland’s census, where the gender identity question was different, has added weight to this observation. More information can be found in the ONS https://www.ons.gov.uk/peoplepopulationandcommunity/culturalidentity/sexuality/methodologies/sexualorientationandgenderidentityqualityinformationforcensus2021" class="govuk-link">sexual orientation and gender identity quality information report, and in the National Statistical https://blog.ons.gov.uk/2024/09/12/better-understanding-the-strengths-and-limitations-of-gender-identity-statistics/" class="govuk-link">blog about the strengths and limitations of gender identity statistics.

    The responsible statisticians for this release is Donilia Asgill and Ella Bentin. For enquiries on this release, contact participationsurvey@dcms.gov.uk.

  8. U

    United States Imports: Medicaments n.e.s.o.i of Mixtures, Not Dosage etc...

    • ceicdata.com
    Updated Feb 10, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2022). United States Imports: Medicaments n.e.s.o.i of Mixtures, Not Dosage etc Form [Dataset]. https://www.ceicdata.com/en/united-states/imports-by-commodity-4-digit-hs-code/imports-medicaments-nesoi-of-mixtures-not-dosage-etc-form
    Explore at:
    Dataset updated
    Feb 10, 2022
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Description

    United States Imports: Medicaments n.e.s.o.i of Mixtures, Not Dosage etc Form data was reported at 186.340 USD mn in Jan 2025. This records an increase from the previous number of 91.280 USD mn for Dec 2024. United States Imports: Medicaments n.e.s.o.i of Mixtures, Not Dosage etc Form data is updated monthly, averaging 77.397 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 482.145 USD mn in Jul 2024 and a record low of 18.877 USD mn in Jan 2021. United States Imports: Medicaments n.e.s.o.i of Mixtures, Not Dosage etc Form data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA129: Imports: by Commodity: 4 Digit HS Code.

  9. T

    Vital Signs: Rent Payments – by tract (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Feb 1, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Vital Signs: Rent Payments – by tract (2022) [Dataset]. https://data.bayareametro.gov/w/iq85-54tc/default?cur=nIqAjGlNBwC&from=5RlllyKfumk
    Explore at:
    application/rdfxml, csv, xml, tsv, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 1, 2023
    Description

    VITAL SIGNS INDICATOR
    Rent Payments (EC8)

    FULL MEASURE NAME
    Median rent payment

    LAST UPDATED
    January 2023

    DESCRIPTION
    Rent payments refer to the cost of leasing an apartment or home and serves as a measure of housing costs for individuals who do not own a home. The data reflect the median monthly rent paid by Bay Area households across apartments and homes of various sizes and various levels of quality. This differs from advertised rents for available apartments, which usually are higher. Note that rent can be presented using nominal or real (inflation-adjusted) dollar values; data are presented inflation-adjusted to reflect changes in household purchasing power over time.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census - https://nhgis.org
    Count 2 (1970)
    Form STF1 (1980-1990)
    Form SF3a (2000)

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    Form B25058 (2005-2021; median contract rent)

    Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
    1970-2021

    CONTACT INFORMATION
    vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Rent data reflects median rent payments rather than list rents (refer to measure definition above). American Community Survey 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    1970 Census data for median rent payments has been imputed from quintiles using methodology from California Department of Finance as the source data only provided the mean, rather than the median, monthly rent. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

    Inflation-adjusted data are presented to illustrate how rent payments have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

  10. Northern Ireland Census 2021 - MS-A22: Passports held - passports based

    • statistics.ukdataservice.ac.uk
    xlsx
    Updated Feb 23, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2023). Northern Ireland Census 2021 - MS-A22: Passports held - passports based [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/northern-ireland-census-2021-ms-a22-passports-held-passports-based
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 23, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Northern Ireland Statistics and Research Agency
    UK Data Servicehttps://ukdataservice.ac.uk/
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    Ireland, Northern Ireland
    Description

    This dataset provides Census 2021 estimates that classify usual residents in Northern Ireland by passports held (passports based). The estimates are as at census day, 21 March 2021. The passports held classification used is a 10-category classification corresponding to the tick box options and write-in responses on the census questionnaire. This dataset is not mutually exclusive; respondents can be in more than one group if they hold more than one passport.

    The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

  11. T

    Vital Signs: Commute Mode Choice (by Place of Employment) – by city (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 4, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Vital Signs: Commute Mode Choice (by Place of Employment) – by city (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Commute-Mode-Choice-by-Place-of-Employ/38ji-x4ga
    Explore at:
    xml, csv, tsv, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Jan 4, 2023
    Description

    VITAL SIGNS INDICATOR
    Commute Mode Choice (T1)

    FULL MEASURE NAME
    Commute mode share by residential location

    LAST UPDATED
    January 2023

    DESCRIPTION
    Commute mode choice, also known as commute mode share, refers to the mode of transportation that a commuter usually uses to travel to work, such as driving alone, biking, carpooling or taking transit. The dataset includes metropolitan area, regional, county, city and census tract tables by place of residence.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census (1960, 1970) - via MTC/ABAG Bay Area Census - http://www.bayareacensus.ca.gov/transportation/Means19602000.htm

    U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census - http://www.bayareacensus.ca.gov/transportation/Means19802000.htm

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2006-2021
    Form B08301 (1-year and 5-year)

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Commute mode choice, also known as commute mode share, refers to the mode of transportation that a commuter usually uses to travel to work, such as driving alone, biking, carpooling or taking transit. For the decennial Census datasets, the breakdown of auto commuters between drive alone and carpool is not available before 1980. American Community Survey 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. This will result in discrepancies in cases like San Francisco where it is both a city and a county. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020. Additionally, for the County by place of residence breakdown, Napa was missing ACS 1-Year commute mode choice data for all modes for 2007, 2008, 2011 and 2021. 5-Year estimates were used to fill the missing data for 2011 and 2021, but not 2007 or 2008 since the 5-Year estimates start in 2009.

    Regional mode shares are population-weighted averages of the nine counties' modal shares. "Auto" includes drive alone and carpool for the simple data tables and is broken out in the detailed data tables accordingly, as it was not available before 1980. "Transit" includes public operators (Muni, BART, etc.) and employer-provided shuttles (e.g., Google shuttle buses). "Other" includes motorcycle, taxi, and other modes of transportation; bicycle mode share was broken out separately for the first time in the 2006 data and is shown in the detailed data tables. Census tract data is not available for tracts with insufficient numbers of residents or workers.

    The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary metropolitan statistical areas (MSAs) for other major metropolitan areas.

  12. i

    Enquête Harmonisée sur le Conditions de Vie des Ménages, 2021-2022 - Mali

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Aug 28, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Institut National de la Statistique (INSTAT) (2024). Enquête Harmonisée sur le Conditions de Vie des Ménages, 2021-2022 - Mali [Dataset]. https://catalog.ihsn.org/catalog/12257
    Explore at:
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    Institut National de la Statistique (INSTAT)
    Time period covered
    2021 - 2022
    Area covered
    Mali
    Description

    Abstract

    The Mali EHCVM 2021/22 is implemented by the National Institute of Statistics (INSTAT) with support from the World Bank and the WAEMU Commission. The objective of the program is to strengthen the capacity of its member countries (Benin, Burkina Faso, Cote d’Ivoire, Guinee Bissau, Mali, Niger, Senegal, and Togo) to conduct living conditions surveys that meet harmonized, regional standards and to make the collected micro-data publicly accessible. The EHCVM is a nationally representative survey of 6,600 households, which are also representative of the geopolitical zones (at both the urban and rural level).

    The survey uses two main survey instruments: a household/individual questionnaire, and a community-level questionnaire. The surveys took place in two waves with each wave covering half of the sample. The first wave was fielded between October 2018 and December 2018, while the second wave occurred between April 2019 and July 2019. The two-wave approach was chosen to account for seasonality of consumption.

    Geographic coverage

    National coverage

    Analysis unit

    Household Individual Community

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sampling frame for the 2018/2019 survey is based on the 2009 general population and housing census (RGPH). In 2021/2022, an enumeration was conducted in the same clusters. The Mali EHCVM 2018/19 utilized the sixth edition of the 2017/18 modular and permanent household survey (EMOP) as the sampling frame. This frame comes from the 2009 Census of Population and Housing (RGPH) and contains 1153 enumeration areas, is nationally representative, and covers all ten regions and the Bamako district. The survey collected data in rural and urban areas in all regions in each of the two waves, except Kidal, Bamako, Toaudénit, and Menaka. More specifically, during the first wave, the survey did not collect data in rural Kidal. Moreover, due to Bamako's purely urban nature, no rural area data are available for this district. Likewise, concerning Taoudenit and Menaka, the survey did not collect data for those regions during the first wave. In addition, there is no urban data for Taoudenit in wave 2.

    In Mali, the survey design team implemented a 2-stage stratified sampling methodology - without replacement. At the first stage, 500 enumeration areas (EAs) were selected with Probability Proportional to Size (PPS) using the number of households as a measure of size. In the second stage, 12 households were selected in each enumeration area randomly. Furthermore, 51 additional EAs were selected from the sampling frame during the second wave to cover Menaka and Taoudenit as the wave 1 EAs did not contain those two regions.

    In 2021/2022, the strategy is to revisit the same clusters. This involves either surveying the 12 households from 2018/2019 if they are found (after the enumeration phase), or surveying the found households and completing the sample to 12 in clusters where fewer households are found during the enumeration phase (either because there were fewer than 12 households in the final 2018/2019 database or because some households were not found).

    The total estimated survey sample size was 6 708 households – 3528 from urban areas and 3180 from rural areas. After that, the survey design randomly divided each enumeration area into two equal groups. The survey team interrogated the first group in wave one and the other in wave 2. Finally, due to the household and EA replacement strategy put in place, the final sample size was very close to the expectations, with 2,732 and 3,411 households surveyed respectively in urban and rural areas. For the replacement of households, households within the EA replaced vacant/refusing households. These replacement households were assigned to agents by the field team leaders and came from the list of replacement households in the enumeration file. In practice, in each EA, 18 households were selected, including 12 households to be surveyed and six replacement households. Concerning the replacement of EAs, during the first wave, seven (07) EAs could not be surveyed due to insecurity (2 in Timbuktu and 5 in Mopti). These seven EAs were replaced by the EMOP EAs and surveyed in wave 2. The survey team made those replacements considering the area of residence of the EA. In terms of detailed actual surveys, the survey teams interviewed 1,352 households in urban areas and 1,479 households in rural areas during wave one. In wave two, the teams interviewed 1,380 households in urban areas and 1,932 households in rural areas.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The Mali ECHVM 2021/22 consists of two questionnaires for each of the two visits. The Household Questionnaires was administered to all households in the sample. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside.

    EHCVM 2021/22 Household Questionnaire: The Households Questionnaire provides information on demographics; education; health; employment (including activity-related information, primary and secondary employments); nonjob revenues; saving and credit (including information for payments due for 15 years old members of the household); food consumption; food security; nonfood consumption; nonagricultural enterprises; housing; household’s assets; transfers (received and sent); shocks and survival strategies; safety nets; agriculture (including information on plots, costs of inputs, and crops); livestock; fishing; agricultural equipment; and a module that provides indicators to helps users situate the household on the poverty spectrum based on subjective considerations and comparative indicators.

    EHCVM 2021/22 Community Questionnaire: The Community Questionnaire solicits information on general community’s characteristics; community access to infrastructure and to social services; community agricultural activity; community participation; and local retail price information.

  13. 2021 Economic Surveys: AB2100NESD02 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN, 2021 Economic Surveys: AB2100NESD02 | Nonemployer Statistics by Demographics series (NES-D): Receipts Size of Firm Statistics for Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties: 2021 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2021.AB2100NESD02?q=Douglas+D+Eike
    Explore at:
    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
    2021
    Area covered
    United States
    Description

    Release Date: 2024-08-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504866, Disclosure Review Board (DRB) approval number: 2021 NES-D approval number: CBDRB-FY24-0307; 2022 ABS approval number: CBDRB-FY23-0479)...Key Table Information:.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms)...Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2022 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2022 ABS collection year produces statistics for the 2021 reference year. The "Year" column in the table is the reference year...Data Items and Other Identifying Records:.Data include estimates on:.Total number of employer and nonemployer firms. Total sales and receipts of employer and nonemployer firms (reported in $1,000 of dollars). Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (reported in $1,000s of dollars). 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 of employer firms (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 (50% / 50%). . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic (50% / 50%). Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority (50% / 50%). Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran (50% / 50%). Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown for the size of sales/receipts/revenue of the business:.Sales, value of shipments, or revenue size of firms:. Firms with sales/receipts of less than $5,000. Firms with sales/receipts of $5,000 to $9,999. Firms with sales/receipts of $10,000 to $24,999. Firms with sales/receipts of $25,000 to $49,999. Firms with sales/receipts of $50,000 to $99,999. Firms with sales/receipts of $100,000 to $249,999. Firms with sales/receipts of $250,000 to $499,999. Firms with sales/receipts of $500,000 to $999,999. Firms with sales/receipts of $1,000,000 or more. ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded.. Nonemployer data do not have standard error or relative standard error columns as these data are from the universe of nonemployer firms, not from a data sample....Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas. County...Data are also shown for the 3- and 4-digit NAICS code for:..United States...Data are excluded for the following NAICS industries:.Crop and Animal Production (NAICS 111 and 112). ...

  14. 2021 Economic Surveys: AB2100NESD03 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated Aug 8, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2024). 2021 Economic Surveys: AB2100NESD03 | Nonemployer Statistics by Demographics series (NES-D): Legal Form of Organization Statistics for Nonemployer Firms by Industry, Sex, Ethnicity, Race, Veteran Status for the U.S., States, Metro Areas, and Counties: 2021 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table?q=Harlan%20Street%20Clinic
    Explore at:
    Dataset updated
    Aug 8, 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
    2021
    Area covered
    United States
    Description

    Release Date: 2024-08-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504866, Disclosure Review Board (DRB) approval number: 2021 NES-D approval number: CBDRB-FY24-0307; 2022 ABS approval number: CBDRB-FY23-0479)...Key Table Information:.Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Data Items and Other Identifying Records:.Data include estimates on:.Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (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 (50% / 50%). . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic (50% / 50%). Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority (50% / 50%). Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran (50% / 50%). Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown by the following legal form of organization (LFO) categories:. S-Corporations. C-Corporations. Individual proprietorships. Partnerships...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded.. For C-corporations, there is no tax form or business registry that clearly and unequivocally identifies all owners of this type of business. For this reason, the Census Bureau is unable to assign demographic characteristics for C-corporations. Data for C-corporations are included in the published tables but are not shown by the demographic characteristics of the firms....Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas. County...Data are also shown for the 3- and 4-digit NAICS code for:..United States...Data are excluded for the following NAICS industries:.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). Management of Companies and Enterprises (NAICS 55). Private Households (NAICS 814). Public Administration (NAICS 92). Industries Not Classified (NAICS 99)...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/abs/data/2021/AB2100NESD03.zip...API Information:.Nonemployer Demographic Statistics data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2021/absnesd.html...Symbols:. D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals. S - 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.. N - Not available or not compara...

  15. 2021 Economic Surveys: CB2100CBP | All Sectors: County Business Patterns,...

    • data.census.gov
    Updated Dec 9, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2023). 2021 Economic Surveys: CB2100CBP | All Sectors: County Business Patterns, including ZIP Code Business Patterns, by Legal Form of Organization and Employment Size Class for the U.S., States, and Selected Geographies: 2021 (ECNSVY Business Patterns County Business Patterns) [Dataset]. https://data.census.gov/table?q=CB2100
    Explore at:
    Dataset updated
    Dec 9, 2023
    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
    2021
    Area covered
    United States
    Description

    Release Date: 2023-05-25.Release Schedule:..The CBP data in this file was released on April 27, 2023. The ZIP Code Business Patterns (ZBP) data was released on May 25, 2023...Key Table Information:..Beginning with reference year 2007, CBP and ZBP data are released using the Noise disclosure methodology to protect confidentiality. See Program Methodology for complete information on the coverage and methodology of the County Business Patterns and ZBP data series. .Includes only establishments with payroll...Four employment-size classes (1,000 to 1,499 employees, 1,500 to 2,499 employees, 2,500 to 4,999 employees, and 5,000 or more employees) are only available at the CSA, MSA, and county-levels...ZBP data by employment size class, shown at the 2-6 digit NAICS code levels only contains data on the number of establishments. ZBP data shown for NAICS code 00 (Total for all sectors) contains data on the number of establishments, total employment, first-quarter payroll, and annual payroll...For additional details regarding Congressional Districts, please see Program Methodology...Data Items and Other Identifying Records:..This table contains data classified by Legal Form of Organization (CBP U.S. and state level only) and employment size category of the establishment..Number of establishments..Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees during the pay period containing March 12.Noise range for annual payroll, first-quarter payroll, and number of employees during the pay period including March 12..Geography Coverage:..The data are shown at the U.S., State, County, Metropolitan/Micropolitan Statistical Areas, Combined Statistical Areas, 5-digit ZIP code, and Congressional District levels. Also available are data for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) at the state and county equivalent levels...Industry Coverage:..The data are shown at the 2- through 6- digit NAICS code levels for all sectors with published data, and for NAICS code 00 (Total for all sectors)...FTP Download:..Download the entire table at: https://www2.census.gov/programs-surveys/cbp/data/2021/CB2100CBP.zip..API Information:..County Business Patterns (CBP) data are housed in the County Business Patterns (CBP) API. For more information, see County Business Patterns and ZBP APIs...Methodology:..In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The data are subject to nonsampling error such as errors of self-classification, as well as errors of response, nonreporting and coverage. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only.. .To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For detailed information about the methods used to collect and produce statistics, see https://www.census.gov/programs-surveys/cbp/technical-documentation/methodology.html..Symbols:..D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals (used prior to 2017).G - Low noise; cell value was changed by less than 2 percent by the application of noise.H - Moderate noise; cell value was changed by 2 percent or more but less than 5 percent by the application of noise.J - High noise; cell value was changed by 5 percent or more by the application of noise.N - Not available or not comparable.S - Withheld because estimates did not meet publication standards.X - Not applicable.r - Revised (represented as superscript).For a complete list of symbols, see Glossary: Abbreviations and Symbols...Source:..U.S. Census Bureau, 2021 County Business Patterns..For more information about County Business Patterns, see the County Business Patterns website...Contact Information:..U.S. Census Bureau.Economy-Wide Statistics Division.Business Statistics Branch.(301)763-2580.ewd.county.business.patterns@census.gov

  16. 2021 Economic Surveys: AB2100NESD01 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated Aug 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2024). 2021 Economic Surveys: AB2100NESD01 | Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties: 2021 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table?q=LARRY%20D%20STEWART
    Explore at:
    Dataset updated
    Aug 8, 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
    2021
    Area covered
    United States
    Description

    Release Date: 2024-08-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504866, Disclosure Review Board (DRB) approval number: 2021 NES-D approval number: CBDRB-FY24-0307; 2022 ABS approval number: CBDRB-FY23-0479)...Key Table Information:.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms)...Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2022 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2022 ABS collection year produces statistics for the 2021 reference year. The "Year" column in the table is the reference year...Data Items and Other Identifying Records:.Data include estimates on:.Total number of employer and nonemployer firms. Total sales and receipts of employer and nonemployer firms (reported in $1,000 of dollars). Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (reported in $1,000s of dollars). 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 of employer firms (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 (50% / 50%). . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic (50% / 50%). Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority (50% / 50%). Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran (50% / 50%). Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded.. Nonemployer data do not have standard error or relative standard error columns as these data are from the universe of nonemployer firms, not from a data sample....Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas. County...Data are also shown for the 3- and 4-digit NAICS code for:..United States...Nonemployer data are excluded for the following NAICS industries:.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). Management of Companies and Enterprises (NAICS 55). Private Households (NAICS 814). Public Administration (NAICS 92). Industries Not Classified (NAICS 99)...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...Employer Data Footnotes:.Footnote 660 - Agriculture, forestry...

  17. 2021 Economic Surveys: AB2100NESD05 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated Aug 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2024). 2021 Economic Surveys: AB2100NESD05 | Nonemployer Statistics by Demographics series (NES-D): Urban and Rural Classification of Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties: 2021 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2021.AB2100NESD05?q=Payroll&g=050XX00US17031_060XX00US1703114000
    Explore at:
    Dataset updated
    Aug 8, 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
    2021
    Area covered
    United States
    Description

    Release Date: 2024-08-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504866, Disclosure Review Board (DRB) approval number: 2021 NES-D approval number: CBDRB-FY24-0307; 2022 ABS approval number: CBDRB-FY23-0479)...Key Table Information:.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms)...Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2022 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2022 ABS collection year produces statistics for the 2021 reference year. The "Year" column in the table is the reference year...Data Items and Other Identifying Records:.Data include estimates on:.Total number of employer and nonemployer firms. Total sales and receipts of employer and nonemployer firms (reported in $1,000 of dollars). Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (reported in $1,000s of dollars). 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 of employer firms (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 (50% / 50%). . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic (50% / 50%). Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority (50% / 50%). Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran (50% / 50%). Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown for the urban or rural classification of the firm:. Urban. Rural. Not classified...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded.. Nonemployer data do not have standard error or relative standard error columns as these data are from the universe of nonemployer firms, not from a data sample.. Firms are classified as urban or rural based on the population of the Census block of its physical location or mailing address. Firms without an assigned Census block are designated as "Not classified". Firms with a physical location or mailing address on a Census block with at least 2,000 housing units, or have a population of at least 5,000 are classified as "Urban". All other firms are classified as "Rural"....Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas. County...Data are also shown for the 3- and 4-digit NAICS code for:..United States...Data are excluded for the following NAICS industries:.Crop and Animal Production (NAICS 111 and 112). Rail Transportation (NAICS 482). Postal Service (NAICS 491). Monetary Authorities-Central Ba...

  18. 2018 Economic Surveys: AB1800NESD05 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated Dec 16, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2021). 2018 Economic Surveys: AB1800NESD05 | Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2018 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table?q=ab1800NESD05&g=010XX00US&n=00
    Explore at:
    Dataset updated
    Dec 16, 2021
    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
    2018
    Area covered
    United States
    Description

    Release Date: 2021-12-16.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (2018 NES-D Approval ID - CBDRB-FY22-032, 2019 ABS Approval ID - CBDRB-FY20-424)...Key Table Information:.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms)...Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2019 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2019 ABS collection year produces statistics for the 2018 reference year. The "Year" column in the table is the reference year...Data Items and Other Identifying Records:.Data include estimates on:.Total number of employer and nonemployer firms. Total sales and receipts of employer and nonemployer firms (reported in $1,000 of dollars). 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 of employer firms (reported in $1,000s of dollars). Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (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. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded....Industry and Geography Coverage:.Data are shown for the total for all sectors (00) and the 2-digit NAICS levels for the U.S., states and District of Columbia, and metro areas. Nonemployer data are excluded for the following NAICS industries:.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). Management of Companies and Enterprises (NAICS 55). Private Households (NAICS 814). Public Administration (NAICS 92). Industries Not Classified (NAICS 99)...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...Employer Data Footnotes:.Footnote 660 - Agriculture, forestry, fishing and hunting (Sector 11): Crop and Animal Production (NAICS 111 and 112) are out of scope..Footnote 661 - Transportation and warehousing (Sector 48-49): Rail Transportation (NAICS 482) and the Postal Service (NAICS 491) are out of scope..Footnote 662 - Finance and insurance (Sector 52): Monetary Authorities-Central Banks (NAICS 521) and Funds, Trusts, and Other Financial Vehicles (NAICS 525...

  19. 2020 Economic Surveys: AB2000NESD01 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated Feb 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2024). 2020 Economic Surveys: AB2000NESD01 | Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2020 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2020.AB2000NESD01?q=grocery%20stores%20in%20georgia%20in%202020
    Explore at:
    Dataset updated
    Feb 8, 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
    2020
    Area covered
    United States
    Description

    Release Date: 2024-02-08.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (2020 NES-D Project No. 7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0051; 2021 ABS approval number: CBDRB-FY23-0479)...Key Table Information:.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms)...Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series)...Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2021 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2021 ABS collection year produces statistics for the 2020 reference year. The "Year" column in the table is the reference year...Data Items and Other Identifying Records:.Data include estimates on:.Total number of employer and nonemployer firms. Total sales and receipts of employer and nonemployer firms (reported in $1,000 of dollars). 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 of employer firms (reported in $1,000s of dollars). Number of nonemployer firms (firms without paid employees). Sales and receipts of nonemployer firms (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 (50% / 50%). . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic (50% / 50%). Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority (50% / 50%). Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran (50% / 50%). Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for firms owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subtotal because a Hispanic firm may be of any race; because a firm could be tabulated in more than one racial group; or because the number of nonemployer firm's data are rounded.. Nonemployer data do not have standard error or relative standard error columns as these data are from the universe of nonemployer firms, not from a data sample....Industry and Geography Coverage:.Data are shown for the total for all sectors (00) and the 2-digit NAICS levels for the U.S., states and District of Columbia, and metro areas. Data are shown for the 3-digit and 4-digit NAICS for U.S. only. Nonemployer data are excluded for the following NAICS industries:.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). Management of Companies and Enterprises (NAICS 55). Private Households (NAICS 814). Public Administration (NAICS 92). Industries Not Classified (NAICS 99)...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...Employer Data Footnotes:.Footnote 660 - Agriculture, forestry, fishing and hunting (Sector 11): Crop and Animal Production (NAICS 111 and ...

  20. 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
Statistics Canada (2023). 2021 Federal Census: 25% Data (Long Form) [Dataset]. https://data.edmonton.ca/Census/2021-Federal-Census-25-Data-Long-Form-/9325-erna
Organization logo

2021 Federal Census: 25% Data (Long Form)

Explore at:
csv, json, application/rssxml, tsv, application/rdfxml, xmlAvailable download formats
Dataset updated
Oct 26, 2023
Dataset authored and provided by
Statistics Canadahttps://statcan.gc.ca/en
Description

Statistics Canada data from the 2021 Census of Population, aligned to Edmonton's neighbourhood boundaries. For the neighbourhood boundaries as they were at the time of the census, please see https://data.edmonton.ca/d/5bk4-5txu.

Source: Statistics Canada, 2021 Census of Population, 2023-06-23. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. Please see https://www.statcan.gc.ca/eng/reference/licence and https://www.statcan.gc.ca/eng/reference/licence-faq for the terms of the Statistics Canada Open Licence.

Note that if you use this data to create another product, an additional acknowledgement is required: "Adapted from Statistics Canada, 2023 Census of Population, . This does not constitute an endorsement by Statistics Canada of this product."

Missing Values: - Default missing value .. Not available for a specific reference period x Suppressed to meet the confidentiality requirements of the Statistics Act ... Not applicable F Too unreliable to be published

Search
Clear search
Close search
Google apps
Main menu