100+ datasets found
  1. d

    Economic Surveys: Vehicle Inventory and Use Survey: Business Use Vehicles,...

    • datasets.ai
    • catalog.data.gov
    2
    Updated Sep 11, 2024
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    Department of Commerce (2024). Economic Surveys: Vehicle Inventory and Use Survey: Business Use Vehicles, excluding pickups, SUVs, light vans [Dataset]. https://datasets.ai/datasets/economic-surveys-vehicle-inventory-and-use-survey-business-use-vehicles-excluding-pickups-
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    2Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    Department of Commerce
    Description

    The Vehicle Inventory and Use Survey (VIUS) is conducted in partnership with the Bureau of Transportation Statistics, Federal Highway Administration, and the U.S. Department of Energy to better understand the characteristics and use of trucks on our nation's roads. The survey universe for the VIUS includes all private and commercial trucks registered (or licensed) in the United States. This includes: pickups; minivans, other light vans, and sport utility vehicles; other light single-unit trucks (GVW = 26,000 lbs.); and truck tractors. The VIUS sample excludes vehicles owned by federal, state, and local governments; ambulances; buses; motor homes; farm tractors; unpowered trailer units; and trucks reported to have been disposed of prior to January 1 of the survey year. VIUS provides data on the physical and operational characteristics of the nation's truck population. Its primary goal is to produce estimates of the total number of trucks and truck miles. This dataset provides national and state-level summary statistics for in-scope vehicles, excluding pickups, SUVs, minivans, and other light vans, that were used at least partially for commercial purposes.

  2. Economic Census: Economic Census of the United States: Commodity Flow Survey...

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Economic Census: Economic Census of the United States: Commodity Flow Survey Hazmat Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/economic-census-economic-census-of-the-united-states-commodity-flow-survey-hazmat-data
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Hazardous Materials Series.

  3. m

    Sixth Economic Census 2013-14 - India

    • microdata.gov.in
    Updated Mar 26, 2019
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    Central Statistics Office (2019). Sixth Economic Census 2013-14 - India [Dataset]. https://microdata.gov.in/NADA/index.php/catalog/47
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    Dataset updated
    Mar 26, 2019
    Dataset authored and provided by
    Central Statistics Office
    Area covered
    India
    Description

    Abstract

    ABSTRACT OF ECONOMIC CENSUS IN INDIA

    1. GENESIS

    A reliable and robust database is the foundation of organized and proper planning. TheCentral Statistics Office (CSO), since its inception, has been instrumental in creation of database forvarious sectors of the economy and its periodic updation so as to meet the requirements of the plannersfor sound and systematic planning both at the macro as well as micro levels. While data requirementsmay be enormous in various sectors, the judicious collection and maintenance of data for varioussectors within the available resource is a challenge. Our economy can broadly be classified into twosectors, namely, Agricultural and Non-Agricultural sectors. Fairly reasonable database exists forAgricultural Sector whereas such data base for Non-Agricultural sector is much desired. Keeping inview the importance of the non-agricultural sector in the economy and non-availability of basic framefor adoption in various sampling techniques for collection of data and estimation of various parameters,conducting Economic Census was felt necessary. With this background, the CSO started EconomicCensus for preparing frame of establishments, particularly the ‘area frame’ which could be used forvarious surveys for collection of detailed data, mainly on non-agricultural sector of the economy.

    1. EARLIER ATTEMPTS

    Broadly the entire planning period may be divided into two: prior to conduct of the FirstEconomic Census i.e. prior to 1977 and thereafter i.e. after the economic census was carried outperiodically. Efforts to fill up the data gaps for the non-agricultural sector were made right from thebeginning of the First Five Year Plan. The first National Sample Survey (NSS) round (1950-51)covered non-agricultural household establishments as one of its subject themes. Such establishmentswere covered regularly up to the tenth NSS round (1955-56). Subsequently, selected activities weretaken up for survey intermittently in different rounds (14th, 23 rd & 29th rounds). Establishmentschedules were canvassed in 1971 population census. The census of unorganized industrial units wascarried out during 1971 -73. Census of the units falling within the purview of Development Commissioner, Small Scale Industries, was carried out during 1973-74 and a survey on distributivetrade was conducted by some of the States during the Fourth Five-Year Plan period (1969-74). Allsuch efforts made prior to 1977 to collect data on non-agricultural establishments have been partial andsporadic. Area sampling with probability proportional to population were mostly used even to captureestablishments. For a survey of establishments such sample design is not only inefficient but alsoresults in under coverage of desired number of establishments and low reliability of the estimatesderived. The prolonged efforts of statisticians and planners in finding a way out for collection ofinformation on amorphous areas of activity resulted in a decisive breakthrough with the advent ofconduct of Economic Census.

    1. ECONOMIC CENSUSES CONDUCTED IN THE PAST

    The Economic Enquiry Committee set up in 1925 under the Chairmanship of Dr.Visweswarayya and more importantly the Bowley-Robertson Committee set up later in 1934, were mainly responsible for the government’s decision to set up an Inter-Departmental Committee with theEconomic Adviser to the Government of India as the chairman. The Inter-Departmental Committeerecommended the formation of a Central Statistical Office for coordination, institution of a statisticalcadre, establishment of State Bureaus at State Head Quarters and maintenance of important statisticsfor the entire country. Bowley and Robertson Committee also commissioned a study to explore thepossibility of conducting economic censuses in India. The first coordinated approach was made by theerstwhile Central Statistical Organisation (CSO), Government of India, by launching a plan scheme'Economic Census and Surveys' in 1976. The scheme envisaged organising countrywide census of alleconomic activities (excluding those engaged in crop production and plantation) followed by detailedsample surveys of unorganised segments of different sectors of non-agricultural economy in a phasedmanner during the intervening period of two successive economic censuses.The basic purpose of conducting the economic census (EC) was to prepare a frame for followup surveys intended to collect more detailed sector specific information between two economiccensuses. In view of the rapid changes that occur in the unorganised sectors of non-agriculturaleconomy due to high mobility or morbidity of smaller units and also on account of births of new units,the scheme envisaged conducting the economic census periodically in order to update the frame fromtime to time.

    1. First Economic Census (EC -1977) and Follow Up Surveys

    The First Economic Census was conducted throughout the country, except Lakshadweep,during 1977 in collaboration with the Directorate of Economics & Statistics (DES) in the States/UnionTerritories (UT). The coverage was restricted to only non-agricultural establishments employing atleast one hired worker on a fairly regular basis. Data on items such as description of activity, number ofpersons usually working, type of ownership, etc. were collected.Reports based on the data of EC-1977 at State/UT level and at all India level were published.Tables giving the activity group-wise distribution of establishments with selected characteristics andwith rural and urban break up were generated. State-wise details for major activities and size-class ofemployment in different establishments, inter-alia, were also presented in tables.Based on the frame provided by the First Economic Census, detailed sample surveys werecarried out during 1978-79 and 1979-80 covering the establishments engaged in manufacturing, trade,hotels & restaurants, transport, storage & warehousing and services. While the smaller establishments(employing less than six workers) and own account establishments were covered by National SampleSurvey Organisation (NSSO) as a part of its 33rd and 34th rounds, the larger establishments were covered through separate surveys by the CSO. Detailed information on employment, emoluments,capital structure, quantity & value of input, output, etc. were collected and reports giving all importantcharacteristics on each of the concerned subjects were published.

    1. Second Economic Census (EC-1980) and Follow Up Surveys

    The Second Economic Census was conducted in 1980 along with the house-listing operations ofPopulation Census 1981. This was done with a view to economizing resources, manpower, time andmoney. The scope and coverage were enlarged. This time all establishments engaged in economicactivities - both agricultural and non-agricultural whether employing any hired worker or not werecovered, except those engaged in crop production and plantation. All States/UTs were covered withthe sole exception of Assam, where Population Census 1981 was not conducted.The information on location of establishment, description of economic activity carried out,nature of operation, type of ownership, social group of owner, use of power/fuel, total number ofworkers usually engaged with its hired component and break-up of male and female workers werecollected. The items on which information were collected in Second Economic Census were more orless the same as those collected in the First Economic Census. However, based on experience gained inthe First Economic Census certain items viz. years of operation, value of annualoutput/turnover/receipt, mixed activity or not, registered/ licensed/recognised and act or authority, ifregistered were dropped.The field work was done by the field staff consisting of enumerators and supervisors employedin the Directorate of Census Operations of each State/UT. The State Directorates of Economics &Statistics (DES) were also associated in the supervision of fieldwork. Data processing and preparationof State level reports of economic census and their publication were carried out by the DES.Based on the frame thrown up by EC-1980, three follow-up surveys were carried out, one in1983-84 on hotels & restaurants, transport, storage & warehousing and services, second in 1984-85 onunorganised manufacturing and third in 1985- 86 on wholesale and retail trade.The economic census scheduled for 1986 could not be carried out due to resource constraints.However, the EC- 1980 frame was updated during 1987-88 in 64 cities (12 cities having more than 10lakh population and 52 other class-I cities) which had problems of identification of enumerationblocks and changes due to rapid urbanization. On the basis of the updated frame, four follow-upsurveys were conducted during 1988-89, 1989-90, 1990-91 and 1991-92 covering the subjects ofhotels & restaurants and transport, unorganized manufacturing, wholesale & retail trade and medical,educational, cultural & other services respectively.

    1. Third Economic Census (EC-1990) and Follow Up Surveys

    The Third Economic Census was synchronized with the house listing operations of the Population Census 1991 on the same pattern as EC- 1980. The coverage was similar to that of EC-1980. All States/UTs except Jammu & Kashmir, where Population Census 1991 was not undertaken,were covered.Based on the frame thrown up by EC-1990 four follow up surveys were carried out:(i) Establishment Survey covering sectors of mining & quarrying, storage & warehousingin 1992-93;(ii) Establishment Survey covering sectors of hotels & restaurants and transport in 1993-94;(iii) NSS 51 st round covering directory, non-directory and own account establishments inunregistered manufacturing sector in 1994-95; and(iv) Directory Trade Establishments Survey in 1996-97. NSS 53 rd round covered theresidual part of the unorganised trade sector in 1997.

    1. Fourth Economic Census (EC-1998) and Follow up Surveys
  4. 2018 Economic Surveys: AB00MYCSA01B | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated Jan 28, 2021
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    ECN (2021). 2018 Economic Surveys: AB00MYCSA01B | Annual Business Survey: Statistics for Employer Firms by Ethnicity for the U.S.: 2018 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2018.AB00MYCSA01B
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    Dataset updated
    Jan 28, 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

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Ethnicity for the U.S.: 2018.Table ID.ABSCS2018.AB00MYCSA01B.Survey/Program.Economic Surveys.Year.2018.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2021-01-28.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 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 2018 BERD sample, or have high receipts, payroll, or employment. Total sample size is 300,000 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-FY20-424).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/2018/.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 becau...

  5. Economic Surveys: Annual Business Survey: Company Summary

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Nov 17, 2023
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    U.S. Census Bureau (2023). Economic Surveys: Annual Business Survey: Company Summary [Dataset]. https://catalog.data.gov/dataset/2020-annual-business-survey-company-summary
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    Dataset updated
    Nov 17, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Annual Business Survey (ABS) provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. Further, the survey measures research and development (for microbusinesses), new business topics such as innovation and technology, as well as other business characteristics. The U.S. Census Bureau and the National Center conduct the ABS jointly for Science and Engineering Statistics within the National Science Foundation. The ABS replaces the five-year Survey of Business Owners (SBO) for employer businesses, the Annual Survey of Entrepreneurs (ASE), the Business R&D and Innovation for Microbusinesses survey (BRDI-M), and the innovation section of the Business R&D and Innovation Survey (BRDI-S). https://www.census.gov/programs-surveys/abs.html

  6. Time Series Economic Indicators Time Series -: Manufactured Homes Survey

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Time Series Economic Indicators Time Series -: Manufactured Homes Survey [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/time-series-economic-indicators-time-series-manufactured-homes-survey
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

  7. 2022 Economic Surveys: AB2200CSA01 | Annual Business Survey: Statistics for...

    • data.census.gov
    • test.data.census.gov
    Updated Dec 19, 2024
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    ECN (2024). 2022 Economic Surveys: AB2200CSA01 | Annual Business Survey: Statistics for Employer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2022 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2022.AB2200CSA01?q=311919
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    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 Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2022.Table ID.ABSCS2022.AB2200CSA01.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 sex, ethnicity, race, and veteran status when classifiable.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 2022 reference year data are shown for the total for all sectors (00) and the 2-digit NAICS code levels for:United StatesStates and the District of ColumbiaMetropolitan Statistical AreasMicropolitan Statistical AreasMetropolitan DivisionsCombined Statistical AreasCountiesEconomic PlacesData are also shown for the 3- to 6-digit NAICS code levels for:United StatesStates and the District of ColumbiaFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2- through 6-digit NAICS code levels depending on geography. 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...

  8. United States SB: VA: Outlook: Business Practices (BP): Adopted/Exp Use of...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States SB: VA: Outlook: Business Practices (BP): Adopted/Exp Use of Tech [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-south-region/sb-va-outlook-business-practices-bp-adoptedexp-use-of-tech
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 14, 2022 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: VA: Outlook: Business Practices (BP): Adopted/Exp Use of Tech data was reported at 15.200 % in 11 Apr 2022. This records a decrease from the previous number of 15.400 % for 04 Apr 2022. United States SB: VA: Outlook: Business Practices (BP): Adopted/Exp Use of Tech data is updated weekly, averaging 15.200 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 17.600 % in 14 Feb 2022 and a record low of 11.900 % in 14 Mar 2022. United States SB: VA: Outlook: Business Practices (BP): Adopted/Exp Use of Tech 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.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).

  9. D

    Selected Economic Characteristics (DP03)

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    application/rdfxml +5
    Updated Oct 22, 2024
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    (2024). Selected Economic Characteristics (DP03) [Dataset]. https://data.seattle.gov/dataset/Selected-Economic-Characteristics-DP03-/8qgt-awdb
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    json, csv, application/rdfxml, application/rssxml, xml, tsvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Data from: American Community Survey, 5-year Series


    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 from the U.S. Census Bureau's demographic profile of Selected Economic Characteristics (DP03). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): DP03


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water

  10. Economic Surveys: Annual Survey of Manufactures: Annual Survey of...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Economic Surveys: Annual Survey of Manufactures: Annual Survey of Manufactures Value [Dataset]. https://catalog.data.gov/dataset/economic-surveys-annual-survey-of-manufactures-annual-survey-of-manufactures-value
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis.

  11. d

    Economic Characteristics of DC Census Tracts

    • opdatahub.dc.gov
    Updated Jul 13, 2021
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    City of Washington, DC (2021). Economic Characteristics of DC Census Tracts [Dataset]. https://opdatahub.dc.gov/maps/a2f2d27e094e4aba97fa3375c6fb027c
    Explore at:
    Dataset updated
    Jul 13, 2021
    Dataset authored and provided by
    City of Washington, DC
    Area covered
    Description

    Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.govGeography: Census TractsCurrent Vintage: 2019-2023ACS Table(s): DP03Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 2, 2025National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data. Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Data processed using R statistical package and ArcGIS Desktop.Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

  12. 2018 Economic Surveys: AB1800TCB10A | Annual Business Survey: Factors...

    • data.census.gov
    Updated Mar 11, 2021
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    ECN (2021). 2018 Economic Surveys: AB1800TCB10A | Annual Business Survey: Factors Adversely Affecting Technology Production in Employer Firms by 2-digit NAICS for the United States and States: 2018 (ECNSVY Annual Business Survey Technology Characteristics of Businesses) [Dataset]. https://data.census.gov/table/ABSTCB2018.AB1800TCB10A?q=UNITED%20CONSTRUCTION
    Explore at:
    Dataset updated
    Mar 11, 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: 2021-03-11.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY20-424)...Release Schedule:.Data in this file come from estimates of technology production of employer firms from the 2019 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: 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...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.This is one of twenty tables in the 2019 ABS technology series to provide detailed technology use and production statistics with select economic and demographic characteristics of businesses (TCB) for U.S. employer firms that reported the sex, ethnicity, race, and veteran status for up to four persons owning the largest percentage(s) of the business. The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Firms are asked to report their employees as of the March 12 pay period...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Percent of employer firms (%). Sales and receipts of employer firms (reported in $1,000s of dollars). Percent of sales and receipts of employer firms (%). Number of employees (during the March 12 pay period). Percent of employees (%). Annual payroll (reported in $1,000s of dollars). Percent of annual payroll (%)...Data Notes:.. Percentage statistics are based on the share of firms that reported data in each technology group. The total number of firms that reported data for each technology are captured in the Total Reporting counts. For example, the total number of firms that selected any response for the Factors Adversely Affecting Artificial Technology Production question on the 2019 ABS questionnaire, represent the number of firms in Artificial Intelligence: Total reporting statistic....Technology Characteristics:.The ABS was designed to include select questions about technology, innovation, and research and development from multiple reference periods and to incorporate new content each survey year based on topics of relevance...Estimates are derived from firms reporting the characteristics tabulated in this dataset. Percentages are always based on total reporting (defined above) and are not recalculated when the dataset is resorted...Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and the 2-digit NAICS code levels for:..United States. States and the District of Columbia...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) are out of scope..Footnote 663 - Other services, except public administration (Sector 81): Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813) and Private Households (NAICS 814) are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/abs/data/2018/AB1800TCB10A.zip...API Information:.Annual Business Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2018/abstcb.html...Methodology:.To maintain confidentiality, the Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the Census Bureau as the source of the original data only. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology...Symbols:. D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals. S - Estimat...

  13. N

    Median Household Income Variation by Family Size in Strawberry Point, IA:...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Median Household Income Variation by Family Size in Strawberry Point, IA: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/24237bf5-f81d-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Iowa, Strawberry Point
    Variables measured
    Household size, Median Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median household incomes for various household sizes in Strawberry Point, IA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

    Key observations

    • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Strawberry Point did not include 6, or 7-person households. Across the different household sizes in Strawberry Point the mean income is $82,123, and the standard deviation is $31,550. The coefficient of variation (CV) is 38.42%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
    • In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $45,833. It then further increased to $100,156 for 5-person households, the largest household size for which the bureau reported a median household income.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Household Sizes:

    • 1-person households
    • 2-person households
    • 3-person households
    • 4-person households
    • 5-person households
    • 6-person households
    • 7-or-more-person households

    Variables / Data Columns

    • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Strawberry Point median household income. You can refer the same here

  14. N

    Median Household Income Variation by Family Size in Pilot Point, TX:...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income Variation by Family Size in Pilot Point, TX: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/1b539b1c-73fd-11ee-949f-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Pilot Point, Texas
    Variables measured
    Household size, Median Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median household incomes for various household sizes in Pilot Point, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

    Key observations

    • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Pilot Point did not include 5, 6, or 7-person households. Across the different household sizes in Pilot Point the mean income is $92,880, and the standard deviation is $52,571. The coefficient of variation (CV) is 56.60%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
    • In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $31,993. It then further increased to $158,609 for 4-person households, the largest household size for which the bureau reported a median household income.

    https://i.neilsberg.com/ch/pilot-point-tx-median-household-income-by-household-size.jpeg" alt="Pilot Point, TX median household income, by household size (in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Household Sizes:

    • 1-person households
    • 2-person households
    • 3-person households
    • 4-person households
    • 5-person households
    • 6-person households
    • 7-or-more-person households

    Variables / Data Columns

    • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Pilot Point median household income. You can refer the same here

  15. Mar 2008 Current Population Survey: Annual Social and Economic (March)...

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Mar 2008 Current Population Survey: Annual Social and Economic (March) Supplement [Dataset]. https://catalog.data.gov/dataset/mar-2008-current-population-survey-annual-social-and-economic-march-supplement
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Annual Social and Economic Supplement or March CPS supplement is the primary source of detailed information on income and work experience in the United States. Numerous publications based on this survey are issued each year by the Bureaus of Labor Statistics and Census. A public-use microdata file is available for private researchers, who also produce many academic and policy-related documents based on these data. The Annual Social and Economic Supplement is used to generate the annual Population Profile of the United States, reports on geographical mobility and educational attainment, and detailed analysis of money income and poverty status. The labor force and work experience data from this survey are used to profile the U.S. labor market and to make employment projections. To allow for the same type of in-depth analysis of hispanics, additional hispanic sample units are added to the basic CPS sample in March each year. Additional weighting is also performed so that estimates can be made for households and families, in addition to persons.

  16. United States SB: OH: Outlook: Business Practices (BP): Adopted/Exp Use of...

    • ceicdata.com
    Updated Apr 11, 2022
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    CEICdata.com (2022). United States SB: OH: Outlook: Business Practices (BP): Adopted/Exp Use of Tech [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-midwest-region/sb-oh-outlook-business-practices-bp-adoptedexp-use-of-tech
    Explore at:
    Dataset updated
    Apr 11, 2022
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 14, 2022 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: OH: Outlook: Business Practices (BP): Adopted/Exp Use of Tech data was reported at 15.600 % in 11 Apr 2022. This records an increase from the previous number of 15.100 % for 04 Apr 2022. United States SB: OH: Outlook: Business Practices (BP): Adopted/Exp Use of Tech data is updated weekly, averaging 15.100 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 15.600 % in 11 Apr 2022 and a record low of 11.400 % in 14 Mar 2022. United States SB: OH: Outlook: Business Practices (BP): Adopted/Exp Use of Tech 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.S047: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

  17. F

    Population Estimate, Total, Not Hispanic or Latino, Black or African...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Grant County, WA [Dataset]. https://fred.stlouisfed.org/series/B03002004E053025
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Washington, Grant County, United States
    Description

    Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Grant County, WA (B03002004E053025) from 2009 to 2023 about Grant County, WA; African-American; WA; non-hispanic; estimate; persons; 5-year; population; and USA.

  18. United States ASS: Exp: ASWR: Admin: Credit Bureaus

    • ceicdata.com
    Updated Apr 12, 2018
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    CEICdata.com (2018). United States ASS: Exp: ASWR: Admin: Credit Bureaus [Dataset]. https://www.ceicdata.com/en/united-states/annual-services-survey-employer-firms-expense
    Explore at:
    Dataset updated
    Apr 12, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Description

    ASS: Exp: ASWR: Admin: Credit Bureaus data was reported at 7.797 USD bn in 2016. This records an increase from the previous number of 7.156 USD bn for 2015. ASS: Exp: ASWR: Admin: Credit Bureaus data is updated yearly, averaging 5.699 USD bn from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 7.797 USD bn in 2016 and a record low of 3.868 USD bn in 2003. ASS: Exp: ASWR: Admin: Credit Bureaus data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H024: Annual Services Survey: Employer Firms Expense.

  19. F

    Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Adams County, WA [Dataset]. https://fred.stlouisfed.org/series/B03002020E053001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Adams County, Washington
    Description

    Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Adams County, WA (B03002020E053001) from 2009 to 2023 about Adams County, WA; WA; latino; hispanic; estimate; persons; 5-year; population; and USA.

  20. United States SB: MA: Finance: CH: 3 or More Business Months

    • ceicdata.com
    Updated Apr 23, 2022
    + more versions
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    CEICdata.com (2022). United States SB: MA: Finance: CH: 3 or More Business Months [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-northeast-region/sb-ma-finance-ch-3-or-more-business-months
    Explore at:
    Dataset updated
    Apr 23, 2022
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: MA: Finance: 3 or More Business Months data was reported at 33.700 % in 11 Apr 2022. This records an increase from the previous number of 32.400 % for 04 Apr 2022. United States SB: MA: Finance: 3 or More Business Months data is updated weekly, averaging 32.250 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 41.800 % in 20 Dec 2021 and a record low of 27.800 % in 21 Mar 2022. United States SB: MA: Finance: 3 or More Business Months 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.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

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Close
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Department of Commerce (2024). Economic Surveys: Vehicle Inventory and Use Survey: Business Use Vehicles, excluding pickups, SUVs, light vans [Dataset]. https://datasets.ai/datasets/economic-surveys-vehicle-inventory-and-use-survey-business-use-vehicles-excluding-pickups-

Economic Surveys: Vehicle Inventory and Use Survey: Business Use Vehicles, excluding pickups, SUVs, light vans

Explore at:
2Available download formats
Dataset updated
Sep 11, 2024
Dataset authored and provided by
Department of Commerce
Description

The Vehicle Inventory and Use Survey (VIUS) is conducted in partnership with the Bureau of Transportation Statistics, Federal Highway Administration, and the U.S. Department of Energy to better understand the characteristics and use of trucks on our nation's roads. The survey universe for the VIUS includes all private and commercial trucks registered (or licensed) in the United States. This includes: pickups; minivans, other light vans, and sport utility vehicles; other light single-unit trucks (GVW = 26,000 lbs.); and truck tractors. The VIUS sample excludes vehicles owned by federal, state, and local governments; ambulances; buses; motor homes; farm tractors; unpowered trailer units; and trucks reported to have been disposed of prior to January 1 of the survey year. VIUS provides data on the physical and operational characteristics of the nation's truck population. Its primary goal is to produce estimates of the total number of trucks and truck miles. This dataset provides national and state-level summary statistics for in-scope vehicles, excluding pickups, SUVs, minivans, and other light vans, that were used at least partially for commercial purposes.

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