78 datasets found
  1. b

    Macroeconomic model (GAMS) for poverty reduction in Mexico

    • bonndata.uni-bonn.de
    • daten.zef.de
    csv, png, txt, xml +1
    Updated Sep 18, 2023
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    José Luis Viveros Añorve; José Luis Viveros Añorve (2023). Macroeconomic model (GAMS) for poverty reduction in Mexico [Dataset]. http://doi.org/10.60507/FK2/CNOY41
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    txt(1754), zip(470183), csv(6032), png(70512), xml(31068)Available download formats
    Dataset updated
    Sep 18, 2023
    Dataset provided by
    bonndata
    Authors
    José Luis Viveros Añorve; José Luis Viveros Añorve
    License

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

    Time period covered
    Jan 1, 2012 - Dec 31, 2012
    Area covered
    Chiapas, Mexico
    Description

    A Computable General Equilibrium (CGE) model in a bottom-up approach - based on microfoundations - and a Social Accounting Matrix (SAM) for the regional economy of Chiapas are built. Methodology: This research applies a Computable General Equilibrium (CGE) model. It is a system of equations that describes an entire economy and all the interactions between productive sectors, commodity and factor markets, and institutions. All of the equations are solved simultaneously to find an economy-wide equilibrium in which demand and supply quantities are equal in every market at a certain level of prices (Burfisher, 2011). Two of the features of this model are that, on one hand, it implements a “bottom-up” approach, that is, it is focused on individual markets and economic agents. On the other hand, it is partially synthetic. In other words, most parameters can be calibrated with data from the SAM. Data framework: A Social Accounting Matrix (SAM) is a balanced square matrix that represents all income and expenditure flows between productive sectors, markets, and economic agents of an economy at a given period of time (Müller, Perez & Hubertus, 2009). It is based on the double entry bookkeeping in accounting, which requires that total revenue equals total expenditure in each single account included in the SAM (Breisinger, Thomas & Thurlow, 2010). The main features of the Chiapas SAM are that production activities are broken down in 10 sectors, according to the North American Industry Classification System (NAICS). There is one commodity per economic activity. Factors of production are disaggregated into formal and informal labor, and capital. Direct taxes are broken up into activity tax, social security contributions, household and corporate income taxes, ‘tenencia’ tax (ownership tax, i.e. a tax associated with the possession or use of vehicles), and regional payroll tax (‘nomina’). Indirect taxes, in turn, are value-added, sales and export taxes, and import tariffs. Subsidies on production by economic activity are also included. Households are disaggregated by income quintiles. Social transfers are split in non-conditional (Procampo, universal pension, PAL-Sin Hambre , temporary employment program, and the regional program Amanecer ) and Oportunidades. The latter is also broken down into its five components: food, elderly, education, child, and energy. The introduction of conditional cash transfers in the SAM is particularly relevant because it allows assessing the impact of changes in their amount and distribution on household income, poverty reduction, income inequality, and economic growth at the regional level. Data sources: - National Institute of Statistics and Geography (INEGI): 2012 National Employment and Occupation Survey 2013 Chiapas Statistical Yearbook 2012 National Household Income-Expenditure Survey 2012 Chiapas Statistical Perspective 2003-2012 Goods and Services Accounts (SCNM) 2003-2012 Institutional Sector Accounts (SCNM) 2008 Input-Output Table 2008 Supply and Use Tables - Chiapas State Committee of Statistical and Geographical Information (CEIEG): 2012 Chiapas Employment and Occupation Survey 2012 Chiapas Monthly Statistical Reports of IMSS-insured Workers - Federal Ministry of Labor and Social Welfare (STYPS): 2012 IMSS-registered Daily Salary by Economic Activity 2012 IMSS-insured Workers Quality/Lineage: With the raw data a Social Accounting Matrix for the regional economy of Chiapas was built Features: - Oportunidades broken down by component - Other non-conditional social transfers such as Procampo, PAL-Sin Hambre, Employment program, Universal pension, and the regional program 'Amanecer' - Informal wages - Satellites tables of formal and informal employment - Productive activities according to the North American Industry Classification System (NAICS) used in Mexico, Canada, and the United States of America - 10 economic activities - 10 Commodities (one per economic activity) - Factors of production: formal and informal labor and capital Purpose: 1. To assess the opportunity cost of financing "Oportunidades", Mexico's conditional cash transfers program, and its implications for rural development and rural economic growth in the regional setting of Chiapas. Moreover, 2. Pro-growth and pro-poor tax structures are also evaluated by applying standard economic analysis tools and modeling to substantially raise the federal non-oil tax revenue to finance social policy for poverty and inequality reduction. Dissertation: Viveros Añorve, J. L. (2015): The opportunity cost of financing "Oportunidades": a general equilibrium assessment for poverty reduction in Mexico. Ph.D. dissertation. Center for Development Research, Faculty of Agriculture, University of Bonn

  2. US Economic Census Health Care And Social Assistance 2012

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). US Economic Census Health Care And Social Assistance 2012 [Dataset]. https://www.johnsnowlabs.com/marketplace/us-economic-census-health-care-and-social-assistance-2012/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2012
    Area covered
    United States
    Description

    This dataset contains key industry statistics for Health Care and Social Assistance sector provided by the Economic Census 2012 at country, state, county and county equivalent area level. The statistics are for all types of health care and social assistance establishments classified according to The North American Industry Classification System (NAICS).

  3. u

    Labour force survey estimates (LFS), employment by economic region and North...

    • beta.data.urbandatacentre.ca
    • open.canada.ca
    Updated Sep 13, 2024
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    (2024). Labour force survey estimates (LFS), employment by economic region and North American Industry Classification System (NAICS), 3-month moving average, unadjusted for seasonality [Dataset]. https://beta.data.urbandatacentre.ca/dataset/gov-canada-c7c7271e-6c6e-44dc-bbc6-3f207ae555ab
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    Dataset updated
    Sep 13, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 1501 series, with data for years 1987 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (79 items: South Coast-Burin Peninsula; Newfoundland and Labrador; Newfoundland and Labrador; Avalon Peninsula; Newfoundland and Labrador; Canada ...), North American Industry Classification System (NAICS) (19 items: Total employed; all industries; Goods-producing sector; Agriculture;Forestry; fishing; mining; quarrying; oil and gas ...).

  4. F

    Employment for Utilities: Utilities (NAICS 22) in the United States

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
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    (2025). Employment for Utilities: Utilities (NAICS 22) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUCN22W201000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Employment for Utilities: Utilities (NAICS 22) in the United States (IPUCN22W201000000) from 1988 to 2024 about utilities, NAICS, employment, and USA.

  5. F

    Employment for Other Services (Except Public Administration): Private...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
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    (2025). Employment for Other Services (Except Public Administration): Private Households (NAICS 814) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUUN814W010000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Employment for Other Services (Except Public Administration): Private Households (NAICS 814) in the United States (IPUUN814W010000000) from 1987 to 2024 about NAICS, households, services, private, employment, and USA.

  6. F

    Hours Worked for Other Services (Except Public Administration): Private...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
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    (2025). Hours Worked for Other Services (Except Public Administration): Private Households (NAICS 81411) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUUN81411L200000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Hours Worked for Other Services (Except Public Administration): Private Households (NAICS 81411) in the United States (IPUUN81411L200000000) from 1987 to 2024 about NAICS, hours, households, services, private, and USA.

  7. 2012 Economic Census: EC1200A1 | All sectors: Geographic Area Series:...

    • data.census.gov
    • test.data.census.gov
    Updated Aug 15, 2024
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    ECN (2024). 2012 Economic Census: EC1200A1 | All sectors: Geographic Area Series: Economy-Wide Key Statistics: 2012 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2017) [Dataset]. https://data.census.gov/all/tables?q=Leslie%20Auto%20Sales
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    Dataset updated
    Aug 15, 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
    2012
    Area covered
    United States
    Description

    For information on economic census geographies, including changes for 2012, see the economic census Help Center...Table Name. All sectors: Geographic Area Series: Economy-Wide Key Statistics: 2012. . .Release Schedule. The data in this file are scheduled for release starting in March 2014 and ending in June 2016.. . .Key Table Information. The data in this file come from separate 2012 Economic Census of the U.S., Economic Census of Island Areas, and Nonemployer Statistics data files released on a flow basis from March 2014 through June 2016. As such, these data are subject to change and will be replaced when updated data are added from more recent data files. Users should be aware that during the release of this consolidated file, data at more detailed NAICS and geographic levels may not add to higher-level totals. However, at the completion of the economic census (once all the component files have been released), the detailed data in this file will add to these totals.. . .Universe. The universe of this file is all operating establishments with one or more paid employees (employers) as well as all operating establishments with no paid employees (nonemployers). This universe includes all establishments classified in the North American Industry Classification System (NAICS) Codes 21 through 813990.. . .Geographic Coverage. The data are shown for employer establishments at the US, State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels for the U.S. and the Island Areas. Data for nonemployer establishments are shown for the U.S. for all levels except Economic Places and only for Puerto Rico for the Island Areas.. . .Industry Coverage. The data are shown at the 2- through 6-digit NAICS code levels for all economic census sectors and at the 7- and 8-digit NAICS code levels for selected economic census sectors.. . .Data Items and Other Identifying Records. This file contains data on:.. Number of employer establishments. Sales, receipts, revenue, shipments, or value of business done for employer establishments. Annual payroll of employer establishments. Total employment of employer establishments. Number of nonemployer establishments. Receipts for nonemployer establishments. Relative standard errors for the first 4 employer data items (Construction industries only).. .Data are also published by Type of Operation or Tax Status for selected sectors. For Wholesale Trade, data are published for Total Wholesale Trade and for Merchant Wholesalers. For the Services sectors, data are published for All Establishments, as well as Taxable and Tax Exempt Establishments...For additional statistics not shown in this file, see the individual data files from the Economic Census of the U.S. Industry, Geographic Area, Subjects, and Summary Series and the Economic Census of Island Areas Geographic Area Series.. . .Sort Order. Data are presented in ascending geography (GEO_ID) by NAICS code (NAICS2012) by Type of Operation or Tax Status (OPTAX) sequence.. . .FTP Download.Download the entire table athttps://www2.census.gov/econ2012/EC/sector00/EC1200A1.zip. . .Contact Information.U.S. Census Bureau, Economic Management Division.Dissemination Branch.Tel: (301)763-9560.econ.dissemination@census.gov. . .The data in this file come from separate 2012 Economic Census of the U.S., Economic Census of Island Areas, and Nonemployer Statistics data files released on a flow basis from March 2014 through June 2016. As such, these data are subject to change and will be replaced when updated data are added from more recent data files. See the Table Notes for more information on this and for related additivity and comparability issues. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census, 2012 Economic Census of Island Areas, and 2012 Nonemployer Statistics..Note: The data in this file are based on the 2012 Economic Census, and the related programs listed above. 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 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 the full technical documentation, see Methodology link in headnote above.

  8. 2030 Economic Surveys: IT00IMPORTSSTATENAICS | Monthly Imports by State and...

    • data.census.gov
    Updated Jun 13, 2025
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    INTL_TRADE (2025). 2030 Economic Surveys: IT00IMPORTSSTATENAICS | Monthly Imports by State and NAICS (ECNSVY International Trade Imports Time Series International Trade: Monthly U.S. Imports by State and North American Industry Classification System (NAICS)) [Dataset]. https://data.census.gov/table/ITMONTHLYIMPORTSSTATENAICS.IT00IMPORTSSTATENAICS?q=Rent+It
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    Dataset updated
    Jun 13, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    INTL_TRADE
    License

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

    Time period covered
    2030
    Area covered
    United States
    Description

    Release Date: N/A

  9. 2022 Economic Census of Island Areas: IA2200SUBJ13 | Island Areas: Race...

    • data.census.gov
    Updated Dec 19, 2024
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    ECN (2024). 2022 Economic Census of Island Areas: IA2200SUBJ13 | Island Areas: Race Status of Ownership for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: 2022 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/table/ISLANDAREAS2022.IA2200SUBJ13?q=IA22&g=040XX00US60
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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
    American Samoa, Guam, Northern Mariana Islands
    Description

    Key Table Information.Table Title.Island Areas: Race Status of Ownership for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: 2022.Table ID.ISLANDAREAS2022.IA2200SUBJ13.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, the U.S. Virgin Islands, Guam, the Commonwealth of the Northern Mariana Islands, or America Samoa, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesRange indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesEach record includes a RACE_GROUP code, which represents a specific race status of ownership category.The data are shown for race status of ownership.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 Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:the Territory level for American Samoathe Territory level for Guamthe Territory level for the Commonwealth of the Northern Mariana Islandsthe Territory level for Puerto Ricothe Territory level for US Virgin IslandsFor information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2-digit 2022 NAICS code levels for selected economic census sectors and geographies.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to pro...

  10. 2012 Economic Census: EC1200CFRA1 | Economic Census: Core Business...

    • data.census.gov
    Updated Feb 15, 2016
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    ECN (2016). 2012 Economic Census: EC1200CFRA1 | Economic Census: Core Business Statistics Series, 2012: Franchise Status for Selected Industries and States: 2012 (ECN Core Statistics Selected Sectors: Franchise Status for the U.S. and States) [Dataset]. https://data.census.gov/table/ECNFRAN2012.EC1200CFRA1?q=DISCOUNT+AIR
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    Dataset updated
    Feb 15, 2016
    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
    2012
    Area covered
    United States
    Description

    Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology. ...Table Name.Economic Census: Core Business Statistics Series, 2012: Franchise Status for Selected Industries and States: 2012 ....ReleaseSchedule.The data in this file were released in February 2016.....Key TableInformation.Includes only establishments of firms with payroll. Definition of paid employees varies among NAICS sectors. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, non-sampling error, and definitions, see Methodology.....Universe.The universe of this file is all operating establishments with one or more paid employees. This universe includes all establishments classified in selected North American Industry Classification System (NAICS) Codes in all Economic Census sectors EXCEPT sectors 21 (Mining), 22 (Utilities), 42 (Wholesale Trade), and 55 (Management of Companies and Enterprises).....GeographyCoverage.The data are shown at the US and for selected industries at the State level.....IndustryCoverage.The data are shown for selected 6-digit NAICS codes for selected Economic Census sectors.....Data ItemsandOtherIdentifyingRecords.This file contains data on:.. . Number of establishments. Sales, receipts, revenue, shipments, or business done. Annual payroll. Total employment. Response Coverage. .....Sort Order.Data are presented in ascending NAICS code (NAICS2012) sequence.....FTP Download.Download the entire table at https://www2.census.gov/econ2012/EC/sector00/EC1200CFRA1.zip....ContactInformation.U.S. Census Bureau, U.S. Census Bureau, Economy Wide Statistics Division .Data User Outreach and Education Staff .Washington, DC 20233-6900.Tel: (800) 242-2184.Tel: (301) 763-5154.ewd.outreach@census.gov...For information on economic census geographies, including changes for 2012, see the economic census Help Center..Source: U.S. Census Bureau, 2012 Economic Census..Note: The data in this file are based on the 2012 Economic Census. 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 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 the full technical documentation, see Survey Methodology link in headnote above..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary

  11. 2020 Economic Surveys: AB2000CSA01 | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated Nov 10, 2022
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    ECN (2022). 2020 Economic Surveys: AB2000CSA01 | Annual Business Survey: Statistics for Employer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2020 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2020.AB2000CSA01?n=00
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    Dataset updated
    Nov 10, 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
    2020
    Area covered
    United States
    Description

    Release Date: 2022-11-10.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-FY22-308)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2021 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2021 ABS collection year produces statistics for the 2020 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.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. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses 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 subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2020 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...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- and 4-digit NAICS code for:..United States. States and the District of Columbia...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...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...

  12. 2022 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for...

    • test.data.census.gov
    • data.census.gov
    Updated Dec 19, 2024
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    ECN (2024). 2022 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2022 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://test.data.census.gov/table/ABSCS2022.AB00MYCSA01D?t=Expenses+and+Expenditures
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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 Veteran Status for the U.S.: 2022.Table ID.ABSCS2022.AB00MYCSA01D.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2024-12-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) 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) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2022 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2022 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0351).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2022/.API Information.Annual Business Survey (ABS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual c...

  13. F

    Chain-Type Quantity Index for Real GDP: Mining (Except Oil and Gas) (212) in...

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    Updated Sep 30, 2022
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    (2022). Chain-Type Quantity Index for Real GDP: Mining (Except Oil and Gas) (212) in the District of Columbia [Dataset]. https://fred.stlouisfed.org/series/DCMINEXOILGASQGSP
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    jsonAvailable download formats
    Dataset updated
    Sep 30, 2022
    License

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

    Area covered
    Washington
    Description

    Graph and download economic data for Chain-Type Quantity Index for Real GDP: Mining (Except Oil and Gas) (212) in the District of Columbia (DCMINEXOILGASQGSP) from 1997 to 2021 about DC, quantity index, chained, oil, NAICS, mining, gas, GSP, private industries, private, real, industry, GDP, and USA.

  14. F

    Chain-Type Quantity Index for Real GDP: Support Activities for Mining (213)...

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    Updated Sep 27, 2024
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    (2024). Chain-Type Quantity Index for Real GDP: Support Activities for Mining (213) in Delaware [Dataset]. https://fred.stlouisfed.org/series/DESAMINQGSP
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    jsonAvailable download formats
    Dataset updated
    Sep 27, 2024
    License

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

    Area covered
    Delaware
    Description

    Graph and download economic data for Chain-Type Quantity Index for Real GDP: Support Activities for Mining (213) in Delaware (DESAMINQGSP) from 1997 to 2023 about support activities, DE, quantity index, chained, NAICS, mining, GSP, private industries, private, real, industry, GDP, and USA.

  15. F

    Hours Worked for Other Services (Except Public Administration): Social...

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    Updated Apr 24, 2025
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    (2025). Hours Worked for Other Services (Except Public Administration): Social Advocacy Organizations (NAICS 8133) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUUN8133L201000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Hours Worked for Other Services (Except Public Administration): Social Advocacy Organizations (NAICS 8133) in the United States (IPUUN8133L201000000) from 1988 to 2024 about advocacy, social, organic, NAICS, hours, services, and USA.

  16. F

    Sectoral Output for Finance and Insurance: Commercial Banking (NAICS 522110)...

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    (2024). Sectoral Output for Finance and Insurance: Commercial Banking (NAICS 522110) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUKN522110T300000000
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    jsonAvailable download formats
    Dataset updated
    Jun 27, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Sectoral Output for Finance and Insurance: Commercial Banking (NAICS 522110) in the United States (IPUKN522110T300000000) from 1987 to 2023 about finance, insurance, NAICS, IP, production, banks, depository institutions, and USA.

  17. F

    Unit Labor Costs for Health Care and Social Assistance: Hospitals, Except...

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    Updated Jun 26, 2025
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    (2025). Unit Labor Costs for Health Care and Social Assistance: Hospitals, Except Psychiatric and Substance Abuse Hospitals (NAICS 622A) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPURN622AU100000000
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Unit Labor Costs for Health Care and Social Assistance: Hospitals, Except Psychiatric and Substance Abuse Hospitals (NAICS 622A) in the United States (IPURN622AU100000000) from 1993 to 2022 about healthcare, hospitality, unit labor cost, hospitals, social assistance, health, NAICS, IP, and USA.

  18. F

    Employment for Health Care and Social Assistance: Individual and Family...

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    Updated Apr 24, 2025
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    (2025). Employment for Health Care and Social Assistance: Individual and Family Services (NAICS 6241) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPURN6241W200000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Employment for Health Care and Social Assistance: Individual and Family Services (NAICS 6241) in the United States (IPURN6241W200000000) from 1987 to 2024 about individual, healthcare, social assistance, health, NAICS, IP, family, services, employment, and USA.

  19. F

    Hours Worked for Other Services (Except Public Administration): Grantmaking...

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    (2025). Hours Worked for Other Services (Except Public Administration): Grantmaking and Giving Services (NAICS 81321) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUUN81321L201000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Hours Worked for Other Services (Except Public Administration): Grantmaking and Giving Services (NAICS 81321) in the United States (IPUUN81321L201000000) from 1988 to 2024 about grants, NAICS, hours, services, and USA.

  20. F

    Real Sectoral Output for Accommodation and Food Services: Restaurants and...

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    Updated Jun 27, 2024
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    (2024). Real Sectoral Output for Accommodation and Food Services: Restaurants and Other Eating Places (NAICS 72251) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUTN72251T010000000
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    jsonAvailable download formats
    Dataset updated
    Jun 27, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Real Sectoral Output for Accommodation and Food Services: Restaurants and Other Eating Places (NAICS 72251) in the United States (IPUTN72251T010000000) from 1987 to 2023 about restaurant, accommodation, output, NAICS, IP, food, services, and USA.

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José Luis Viveros Añorve; José Luis Viveros Añorve (2023). Macroeconomic model (GAMS) for poverty reduction in Mexico [Dataset]. http://doi.org/10.60507/FK2/CNOY41

Macroeconomic model (GAMS) for poverty reduction in Mexico

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txt(1754), zip(470183), csv(6032), png(70512), xml(31068)Available download formats
Dataset updated
Sep 18, 2023
Dataset provided by
bonndata
Authors
José Luis Viveros Añorve; José Luis Viveros Añorve
License

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

Time period covered
Jan 1, 2012 - Dec 31, 2012
Area covered
Chiapas, Mexico
Description

A Computable General Equilibrium (CGE) model in a bottom-up approach - based on microfoundations - and a Social Accounting Matrix (SAM) for the regional economy of Chiapas are built. Methodology: This research applies a Computable General Equilibrium (CGE) model. It is a system of equations that describes an entire economy and all the interactions between productive sectors, commodity and factor markets, and institutions. All of the equations are solved simultaneously to find an economy-wide equilibrium in which demand and supply quantities are equal in every market at a certain level of prices (Burfisher, 2011). Two of the features of this model are that, on one hand, it implements a “bottom-up” approach, that is, it is focused on individual markets and economic agents. On the other hand, it is partially synthetic. In other words, most parameters can be calibrated with data from the SAM. Data framework: A Social Accounting Matrix (SAM) is a balanced square matrix that represents all income and expenditure flows between productive sectors, markets, and economic agents of an economy at a given period of time (Müller, Perez & Hubertus, 2009). It is based on the double entry bookkeeping in accounting, which requires that total revenue equals total expenditure in each single account included in the SAM (Breisinger, Thomas & Thurlow, 2010). The main features of the Chiapas SAM are that production activities are broken down in 10 sectors, according to the North American Industry Classification System (NAICS). There is one commodity per economic activity. Factors of production are disaggregated into formal and informal labor, and capital. Direct taxes are broken up into activity tax, social security contributions, household and corporate income taxes, ‘tenencia’ tax (ownership tax, i.e. a tax associated with the possession or use of vehicles), and regional payroll tax (‘nomina’). Indirect taxes, in turn, are value-added, sales and export taxes, and import tariffs. Subsidies on production by economic activity are also included. Households are disaggregated by income quintiles. Social transfers are split in non-conditional (Procampo, universal pension, PAL-Sin Hambre , temporary employment program, and the regional program Amanecer ) and Oportunidades. The latter is also broken down into its five components: food, elderly, education, child, and energy. The introduction of conditional cash transfers in the SAM is particularly relevant because it allows assessing the impact of changes in their amount and distribution on household income, poverty reduction, income inequality, and economic growth at the regional level. Data sources: - National Institute of Statistics and Geography (INEGI): 2012 National Employment and Occupation Survey 2013 Chiapas Statistical Yearbook 2012 National Household Income-Expenditure Survey 2012 Chiapas Statistical Perspective 2003-2012 Goods and Services Accounts (SCNM) 2003-2012 Institutional Sector Accounts (SCNM) 2008 Input-Output Table 2008 Supply and Use Tables - Chiapas State Committee of Statistical and Geographical Information (CEIEG): 2012 Chiapas Employment and Occupation Survey 2012 Chiapas Monthly Statistical Reports of IMSS-insured Workers - Federal Ministry of Labor and Social Welfare (STYPS): 2012 IMSS-registered Daily Salary by Economic Activity 2012 IMSS-insured Workers Quality/Lineage: With the raw data a Social Accounting Matrix for the regional economy of Chiapas was built Features: - Oportunidades broken down by component - Other non-conditional social transfers such as Procampo, PAL-Sin Hambre, Employment program, Universal pension, and the regional program 'Amanecer' - Informal wages - Satellites tables of formal and informal employment - Productive activities according to the North American Industry Classification System (NAICS) used in Mexico, Canada, and the United States of America - 10 economic activities - 10 Commodities (one per economic activity) - Factors of production: formal and informal labor and capital Purpose: 1. To assess the opportunity cost of financing "Oportunidades", Mexico's conditional cash transfers program, and its implications for rural development and rural economic growth in the regional setting of Chiapas. Moreover, 2. Pro-growth and pro-poor tax structures are also evaluated by applying standard economic analysis tools and modeling to substantially raise the federal non-oil tax revenue to finance social policy for poverty and inequality reduction. Dissertation: Viveros Añorve, J. L. (2015): The opportunity cost of financing "Oportunidades": a general equilibrium assessment for poverty reduction in Mexico. Ph.D. dissertation. Center for Development Research, Faculty of Agriculture, University of Bonn

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