5 datasets found
  1. 2019 Economic Surveys: NS1900NONEMP | All Sectors: Nonemployer Statistics by...

    • data.census.gov
    Updated Jun 30, 2022
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    ECN (2022). 2019 Economic Surveys: NS1900NONEMP | All Sectors: Nonemployer Statistics by Legal Form of Organization and Receipts Size Class for the U.S., States, and Selected Geographies: 2019 (ECNSVY Nonemployer Statistics) [Dataset]. https://data.census.gov/table/NONEMP2019.NS1900NONEMP
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    Dataset updated
    Jun 30, 2022
    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
    2019
    Area covered
    United States
    Description

    Release Date: 2022-06-30.Release Schedule:.The data in this file were released on June 30, 2022...Key Table Information:.Beginning with reference year 2005, Nonemployer data are released using the Noise Infusion methodology to protect confidentiality. See Survey Methodology for complete information on the coverage and methodology of the Nonemployer Statistics data series...Data Items and Other Identifying Records:. This file contains data on the total number of firms and receipts. . Number of nonemployer establishments . Nonemployer Sales, value of shipments, or revenue ($1,000) . Noise range for nonemployer Sales, value of shipments, or revenue ..Geography Coverage:.The data are shown at the U.S. and State level for LFO and the U.S. level for Receipt Size Class. All other data is shown at the U.S., State, County, Combined Statistical Area, and Metropolitan/Micropolitan Statistical Areas...Industry Coverage:.The data are shown at the 2- through (where available) 6-digit NAICS code levels for all sectors with published data. Data for nonemployers generally are provided at broader levels of industry detail than data for employers. For specific exclusions and inclusions, see https://www.census.gov/programs-surveys/nonemployer-statistics/technical-documentation/methodology.html...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/nonemployer-statistics/data/2019/NS1900NONEMP.zip ..API Information:. Nonemployer Statistics data are housed in the Nonemployer Statistics API. For more information, see Census.gov: Developers: Available APIs: County Business Patterns and Nonemployer Statistics (1986-2019): Nonemployer Statistics APIs. ..Methodology:.The universe of this file is all firms with no paid employees or payroll with receipts of $1,000 or more (or $1 for the construction sector) and are subject to federal income tax. The universe is limited to industries in approximately 450 of the nearly 1,200 recognized North American Industry Classification System industries. The universe contains only those codes that are available through administrative records sources and are common to all three legal forms of organization applicable to nonemployer businesses. This is generally a broader level of detail than would typically be provided for employer data. For specific exclusions and inclusions, see https://www.census.gov/programs-surveys/nonemployer-statistics/technical-documentation/methodology.html...Nonemployer Statistics originate from tax return information of the Internal Revenue Service. The data are subject to nonsampling error such as errors of self-classification by industry on tax forms, as well as errors of response, nonreporting and coverage. Values provided by each firm are slightly modified to protect the respondent's confidentiality. For further information about methodology and data limitations, see Survey Methodology...Symbols:. 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. S - Withheld because estimate did not meet publication standards. N - Not available or not comparable. For a complete list of symbols, see Nonemployer Statistics (NES): About this Program: Nonemployer Glossary: Abbreviations and Symbols.. .Source:..U.S. Census Bureau, 2019 Nonemployer Statistics..For more information about Nonemployer Statistics, see Our Surveys and Programs: Nonemployer Statistics (NES)...Contact Information:..U.S. Census Bureau.Economy-Wide Statistics Division .Business Statistics Branch .(301) 763-2580 .ewd.nonemployer.statistics@census.gov

  2. 2019 Economic Surveys: AB1900NESD03 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated May 11, 2023
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    ECN (2023). 2019 Economic Surveys: AB1900NESD03 | Nonemployer Statistics by Demographics series (NES-D): Legal Form of Organization Statistics for Nonemployer Firms by Sector, Sex, Ethnicity, Race, Veteran Status for the U.S., States, and Metro Areas: 2019 (ECNSVY Nonemployer Statistics by Demographics Company Summary) [Dataset]. https://data.census.gov/table/ABSNESD2019.AB1900NESD03?q=Construction+Data+Inc
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    Dataset updated
    May 11, 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
    2019
    Area covered
    United States
    Description

    Release Date: 2023-05-11.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: CBDRB-FY23-0262)...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. . 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). ...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...Data are also shown for the 3-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/2019/AB1900NESD03.zip...API Information:.Nonemployer Demographic Statistics data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2019/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 comparable. X - Not applicable..The following symbols are used to identify the level of noise applied to the data:. G - Low noise: The cell valu...

  3. Census of Population and Housing -1971 - Sri Lanka

    • nada.statistics.gov.lk
    Updated Jan 18, 2023
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    Department of Census and Statistics (2023). Census of Population and Housing -1971 - Sri Lanka [Dataset]. https://nada.statistics.gov.lk/index.php/catalog/228
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    Dataset updated
    Jan 18, 2023
    Dataset provided by
    Department of Census and Statistics
    Time period covered
    1970 - 1971
    Area covered
    Sri Lanka
    Description

    Abstract

    A Census of Population and Housing is the single most extensive statistical undertaking of a country. In order to plan and implement programmes and activities, statistics are needed by the Government administrators of various levels, private users, research organizations and the general public.

    The 1971 Census was conducted under the Census Ordinance N0. 9 of 1900. (Chapter 143) According to that it shall be lawful for the Minister from time to time by order published in the Gazette, to direct that a census be taken of the population, agriculture (including animal husbandry ) trade, labour, industry or commerce or such other matters as he may deem necessary for ascertaining the social, civil or economic conditions of the inhabitants of Ceylon. The CPH 1971 has been designed to collect various information about the characteristics of the population and the households in Sri Lanka.

    The CHP1971 provides

    a. Reliable and detailed benchmark statistics on the size, distribution and composition of population.

    b. Information pertaining to the characteristics of the housing units.

    c. Information on the characteristics of the households

    Geographic coverage

    National coverage

    Analysis unit

    (1) Individuals (2) Households

    Universe

    CPH 1971 covered all residents in each household and all units in each census block.

    Population census did not cover diplomats.

    Kind of data

    Census/enumeration data [cen]

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    A main area for the advance preparations for the 1971 Census was the redesigning of Population and Housing schedules in order to minimize the time required for coding the data. One of the reasons for the delay in tabulation of information from the earlier censuses particularly the 1953 and 1963 censuses was the inordinately long time taken at the Head Office to code the information before punching the information on cards. With a view to avoiding such delays it was decided to have as much of the coding as possible done in the field itself by the enumerators. Topics such as Sex, Marital Status, Religion, Ethnic Group etc; which consist of a few well defined categories could be easily entered on the schedules in the form of codes. A schedule designed for the purpose of was tested at the first Pilot Census. In this schedule, however, the codes for each category were shown at the bottom of the schedule and hence the enumerator had to frequently shift his eyes up and down between the cage in which the entry was to be made and the section at the bottom of the schedule showing the codes. This proved to be the somewhat strenuous and time consuming. Some of the codes were easily remembered by the enumerator e.g. Male 1, Female 2. But in the case of other items like Ethnic Group & Marital Status which contain more than 4 or 5 categories, the possibility of some mixing up of codes existed, leading to inaccuracy. On the basis of experience of the first Pilot Census, the schedule was redesigned and the codes were shown against the question in respect of which answers were sought from the respondents and the enumerators required to indicate the answers by circling the appropriate code. This layout of the schedule eliminated errors resulting from marking of a wrong code which was possible in the case of schedules used at the first Pilot Census.

    A similar procedure, however, could not be adopted in respect of such topic as educational attainment, occupation and industry, in respect of which the number of possible entries were quite large. In these cases the enumerator wrote down the answers and the coding was done later, in the office, by specially trained coding staff. The Housing schedule was also designed on the same basis.

    The schedule which contained the item in respect of which information was collected from all persons in the country was called the Population Schedule (General) and was printed on white paper to distinguish it from the Population Schedule (Special) printed on pink paper. The Population Schedule (Special) contained in addition to those on the Population Schedule (General) items which were to be collected from a sample only. The Housing Schedule was printed on blue paper.

    Cleaning operations

    The Census Schedules, on receipt in the Head Office, were checked for any possible shortages and then edited and coded where necessary by specially trained staff, prior to being passed on to the Data Processing Division, for punching and tabulation.

    Computer Editing Before the punched cards were transferred to the computer room for processing, certain manual checks for control figures and sight checks were carried out administrative regions. A comprehensive editing procedure was done on the computer. The computer program which checked the records comprised of five basic edits. They were : 1. Checking to ensure that all data was numeric 2. Checking the validity of numerical codes entered for descriptive data 3. Checking the range of codes 4. Checking the consistency of related data 5. Checking and imputation of a limited amount of data for omissions.

    Editing to ensure that all data was numeric enabled the detection of errors occurring due to punching and verifying machine faults. All the other edits provided a complete check for validity and consistency of the records. Only records which satisfied all edit checks were written on tape while the error records were appropriately printed by districts. These error lists were referred to the appropriate division for correction. The corrected records were re-punched and passed through the edit program again. This procedure was adopted for each district until no errors were printed. At the commencement of processing 4 error lists for each district were referred back, but with experience gained in the correction of error lists, the reference was cut down to two lists

  4. 2019 Economic Surveys: CB1900CBP | All Sectors: County Business Patterns,...

    • data.census.gov
    • test.data.census.gov
    Updated Apr 1, 2010
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    ECN (2010). 2019 Economic Surveys: CB1900CBP | 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: 2019 (ECNSVY Business Patterns County Business Patterns) [Dataset]. https://data.census.gov/cedsci/table?g=0500000US18049&tid=CBP2019.CB1900CBP
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    Dataset updated
    Apr 1, 2010
    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
    2019
    Area covered
    United States
    Description

    Release Date: 2021-05-27.Release Schedule:.The CBP data in this file were released on April 22, 2021. The ZIP Code Business Patterns (ZBP) data were released on May 27, 2021....Key Table Information:.Beginning with reference year 2007, CBP and ZBP data are released using the Noise disclosure methodology to protect confidentiality. See Survey Methodology for complete information on the coverage and methodology of the County Business Patterns and ZBP data series..Includes only establishments with payrolls..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, employment, first quarter payroll, and annual payroll. ..Data Items and Other Identifying Records: .This file 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. level and by 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/2019/CB1900CBP.zip ..API Information:.County Business Patterns (CBP) data are housed in the County Business Patterns (CBP) API. For more information, see Census.gov: Developers: Available APIs, County Business Patterns and Nonemployer Statistics (1986-2018): County Business Patterns (CBP) 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, including sampling see County Business Patterns: Survey Methodology. ..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 .For a complete list of symbols, see County Business Patterns (CBP): About this Program: Glossary: Abbreviations and Symbols...Source:.U.S. Census Bureau, 2019 County Business Patterns.For more information about County Business Patterns, see Our Surveys and Programs: County Business Patterns...Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Statistics Branch.Tel: (301) 763 - 2580 .Email: ewd.county.business.patterns@census.gov ..Note: The Census Bureau did not collect district boundaries for the 117th Congress, in keeping with the practice of not collecting the session which aligns with the decennial census. As a result, County Business Patterns estimates were tabulated using 116th Congressional districts and state and local geographies.

  5. Population of Germany 1800-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Population of Germany 1800-2020 [Dataset]. https://www.statista.com/statistics/1066918/population-germany-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 1800, the region of Germany was not a single, unified nation, but a collection of decentralized, independent states, bound together as part of the Holy Roman Empire. This empire was dissolved, however, in 1806, during the Revolutionary and Napoleonic eras in Europe, and the German Confederation was established in 1815. Napoleonic reforms led to the abolition of serfdom, extension of voting rights to property-owners, and an overall increase in living standards. The population grew throughout the remainder of the century, as improvements in sanitation and medicine (namely, mandatory vaccination policies) saw child mortality rates fall in later decades. As Germany industrialized and the economy grew, so too did the argument for nationhood; calls for pan-Germanism (the unification of all German-speaking lands) grew more popular among the lower classes in the mid-1800s, especially following the revolutions of 1948-49. In contrast, industrialization and poor harvests also saw high unemployment in rural regions, which led to waves of mass migration, particularly to the U.S.. In 1886, the Austro-Prussian War united northern Germany under a new Confederation, while the remaining German states (excluding Austria and Switzerland) joined following the Franco-Prussian War in 1871; this established the German Empire, under the Prussian leadership of Emperor Wilhelm I and Chancellor Otto von Bismarck. 1871 to 1945 - Unification to the Second World War The first decades of unification saw Germany rise to become one of Europe's strongest and most advanced nations, and challenge other world powers on an international scale, establishing colonies in Africa and the Pacific. These endeavors were cut short, however, when the Austro-Hungarian heir apparent was assassinated in Sarajevo; Germany promised a "blank check" of support for Austria's retaliation, who subsequently declared war on Serbia and set the First World War in motion. Viewed as the strongest of the Central Powers, Germany mobilized over 11 million men throughout the war, and its army fought in all theaters. As the war progressed, both the military and civilian populations grew increasingly weakened due to malnutrition, as Germany's resources became stretched. By the war's end in 1918, Germany suffered over 2 million civilian and military deaths due to conflict, and several hundred thousand more during the accompanying influenza pandemic. Mass displacement and the restructuring of Europe's borders through the Treaty of Versailles saw the population drop by several million more.

    Reparations and economic mismanagement also financially crippled Germany and led to bitter indignation among many Germans in the interwar period; something that was exploited by Adolf Hitler on his rise to power. Reckless printing of money caused hyperinflation in 1923, when the currency became so worthless that basic items were priced at trillions of Marks; the introduction of the Rentenmark then stabilized the economy before the Great Depression of 1929 sent it back into dramatic decline. When Hitler became Chancellor of Germany in 1933, the Nazi government disregarded the Treaty of Versailles' restrictions and Germany rose once more to become an emerging superpower. Hitler's desire for territorial expansion into eastern Europe and the creation of an ethnically-homogenous German empire then led to the invasion of Poland in 1939, which is considered the beginning of the Second World War in Europe. Again, almost every aspect of German life contributed to the war effort, and more than 13 million men were mobilized. After six years of war, and over seven million German deaths, the Axis powers were defeated and Germany was divided into four zones administered by France, the Soviet Union, the UK, and the U.S.. Mass displacement, shifting borders, and the relocation of peoples based on ethnicity also greatly affected the population during this time. 1945 to 2020 - Partition and Reunification In the late 1940s, cold war tensions led to two distinct states emerging in Germany; the Soviet-controlled east became the communist German Democratic Republic (DDR), and the three western zones merged to form the democratic Federal Republic of Germany. Additionally, Berlin was split in a similar fashion, although its location deep inside DDR territory created series of problems and opportunities for the those on either side. Life quickly changed depending on which side of the border one lived. Within a decade, rapid economic recovery saw West Germany become western Europe's strongest economy and a key international player. In the east, living standards were much lower, although unemployment was almost non-existent; internationally, East Germany was the strongest economy in the Eastern Bloc (after the USSR), though it eventually fell behind the West by the 1970s. The restriction of movement between the two states also led to labor shortages in t...

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ECN (2022). 2019 Economic Surveys: NS1900NONEMP | All Sectors: Nonemployer Statistics by Legal Form of Organization and Receipts Size Class for the U.S., States, and Selected Geographies: 2019 (ECNSVY Nonemployer Statistics) [Dataset]. https://data.census.gov/table/NONEMP2019.NS1900NONEMP
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2019 Economic Surveys: NS1900NONEMP | All Sectors: Nonemployer Statistics by Legal Form of Organization and Receipts Size Class for the U.S., States, and Selected Geographies: 2019 (ECNSVY Nonemployer Statistics)

2019: ECNSVY Nonemployer Statistics

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Dataset updated
Jun 30, 2022
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
2019
Area covered
United States
Description

Release Date: 2022-06-30.Release Schedule:.The data in this file were released on June 30, 2022...Key Table Information:.Beginning with reference year 2005, Nonemployer data are released using the Noise Infusion methodology to protect confidentiality. See Survey Methodology for complete information on the coverage and methodology of the Nonemployer Statistics data series...Data Items and Other Identifying Records:. This file contains data on the total number of firms and receipts. . Number of nonemployer establishments . Nonemployer Sales, value of shipments, or revenue ($1,000) . Noise range for nonemployer Sales, value of shipments, or revenue ..Geography Coverage:.The data are shown at the U.S. and State level for LFO and the U.S. level for Receipt Size Class. All other data is shown at the U.S., State, County, Combined Statistical Area, and Metropolitan/Micropolitan Statistical Areas...Industry Coverage:.The data are shown at the 2- through (where available) 6-digit NAICS code levels for all sectors with published data. Data for nonemployers generally are provided at broader levels of industry detail than data for employers. For specific exclusions and inclusions, see https://www.census.gov/programs-surveys/nonemployer-statistics/technical-documentation/methodology.html...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/nonemployer-statistics/data/2019/NS1900NONEMP.zip ..API Information:. Nonemployer Statistics data are housed in the Nonemployer Statistics API. For more information, see Census.gov: Developers: Available APIs: County Business Patterns and Nonemployer Statistics (1986-2019): Nonemployer Statistics APIs. ..Methodology:.The universe of this file is all firms with no paid employees or payroll with receipts of $1,000 or more (or $1 for the construction sector) and are subject to federal income tax. The universe is limited to industries in approximately 450 of the nearly 1,200 recognized North American Industry Classification System industries. The universe contains only those codes that are available through administrative records sources and are common to all three legal forms of organization applicable to nonemployer businesses. This is generally a broader level of detail than would typically be provided for employer data. For specific exclusions and inclusions, see https://www.census.gov/programs-surveys/nonemployer-statistics/technical-documentation/methodology.html...Nonemployer Statistics originate from tax return information of the Internal Revenue Service. The data are subject to nonsampling error such as errors of self-classification by industry on tax forms, as well as errors of response, nonreporting and coverage. Values provided by each firm are slightly modified to protect the respondent's confidentiality. For further information about methodology and data limitations, see Survey Methodology...Symbols:. 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. S - Withheld because estimate did not meet publication standards. N - Not available or not comparable. For a complete list of symbols, see Nonemployer Statistics (NES): About this Program: Nonemployer Glossary: Abbreviations and Symbols.. .Source:..U.S. Census Bureau, 2019 Nonemployer Statistics..For more information about Nonemployer Statistics, see Our Surveys and Programs: Nonemployer Statistics (NES)...Contact Information:..U.S. Census Bureau.Economy-Wide Statistics Division .Business Statistics Branch .(301) 763-2580 .ewd.nonemployer.statistics@census.gov

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