100+ datasets found
  1. Data from: SNAP Policy Data Sets

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    bin
    Updated Apr 23, 2025
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    USDA Economic Research Service (2025). SNAP Policy Data Sets [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/SNAP_Policy_Data_Sets/25696446
    Explore at:
    binAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    USDA Economic Research Service
    License

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

    Description

    The SNAP Policy Database provides a central data source for information on State policy options in the Supplemental Nutrition Assistance Program (SNAP). The database includes information on State-level SNAP policies relating to eligibility criteria, recertification and reporting requirements, benefit issuance methods, availability of online applications, use of biometric technology (such as fingerprinting), and coordination with other low-income assistance programs. Data are provided for all 50 States and the District of Columbia for each month from January 1996 through December 2011.

    The information in this database can facilitate research on factors that influence SNAP participation and on SNAP's effects on a variety of outcomes, such as health and dietary intake. More specifically, the database can be used to:

    • Describe the differences in the State-level administration of SNAP and trends in the adoption of specific State-level SNAP policies,
    • Examine how State policies affect household-level participation in SNAP, and
    • Estimate the effect of SNAP participation on outcomes such as health and food spending by combining this data with nationally representative survey data. The SNAP Policy Database provides a potentially exogenous source of variation in program participation and can be used in instrumental variables estimation techniques.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: SNAP Policy Data Sets For complete information, please visit https://data.gov.
  2. SNAP Distribution Policy Database

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). SNAP Distribution Policy Database [Dataset]. https://www.johnsnowlabs.com/marketplace/snap-distribution-policy-database/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    United States
    Description

    This dataset provides a central data source for information on State policy options in the Supplemental Nutrition Assistance Program (SNAP). SNAP (Supplemental Nutrition Assistance Program) offers nutrition assistance to millions of eligible, low-income individuals and families and provides economic benefits to communities. FNS (Food and Nutrition Service) also works with State partners and the retail community to improve program administration and ensure program integrity.

  3. Nutrition Assistance Program Participation and Cost Database

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Nutrition Assistance Program Participation and Cost Database [Dataset]. https://www.johnsnowlabs.com/marketplace/nutrition-assistance-program-participation-and-cost-database/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    1969 - 2021
    Area covered
    United States
    Description

    Supplemental Nutrition Assistance Program (SNAP) is the new name for the federal Food Stamp Program. This dataset contains participation and cost data for SNAP. The data is furthered divided by annual, state, and monthly levels categorized by persons participating, households participating, benefits provided, average monthly benefits per person and average monthly benefits per household.

  4. u

    Data from: Fiscal Year 2021 Supplemental Nutrition Assistance Program...

    • agdatacommons.nal.usda.gov
    zip
    Updated Jul 8, 2024
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    Joshua Leftin; Mia Monkovic; Francisco Yang; Nima Rahimi; Andrew Wen; Alma Vigil (2024). Fiscal Year 2021 Supplemental Nutrition Assistance Program Quality Control Database [Dataset]. http://doi.org/10.15482/USDA.ADC/26117350.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 8, 2024
    Dataset provided by
    Ag Data Commons
    Authors
    Joshua Leftin; Mia Monkovic; Francisco Yang; Nima Rahimi; Andrew Wen; Alma Vigil
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The Supplemental Nutrition Assistance Program (SNAP) is the largest of the domestic nutrition assistance programs administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA). SNAP provides millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2021, SNAP served an average of 41.6 million people monthly and paid out $108 billion in benefits, including emergency allotments to supplement SNAP benefits during the COVID-19 public health emergency.The characteristics of SNAP participants and households and the size of the SNAP caseload change over time in response to changes in program rules as well as economic and demographic trends. To quantify these changes or estimate the effect of adjustments to program rules on the current SNAP caseload, FNS relies on data from the SNAP Quality Control (QC) Database. This database is an edited version of the raw data file of monthly case reviews that are conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for their SNAP caseloads. These data cover the last three months of FY 2021.

  5. Food Assistance - SNAP - SNAP online application, 2005*

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 16, 2016
    + more versions
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    ers.usda.gov (2016). Food Assistance - SNAP - SNAP online application, 2005* [Dataset]. https://koordinates.com/layer/24544-food-assistance-snap-snap-online-application-2005/
    Explore at:
    dwg, shapefile, kml, geodatabase, mapinfo tab, csv, mapinfo mif, geopackage / sqlite, pdfAvailable download formats
    Dataset updated
    Sep 16, 2016
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Area covered
    Description

    {"definition": "The State allows households to submit a SNAP application online during at least one month in the calendar year.", "availableYears": "2005", "name": "SNAP online application, 2005*", "units": "Classification", "shortName": "SNAP_OAPP05", "geographicLevel": "State", "dataSources": "SNAP Policy Database, Economic Research Service (ERS), U.S. Department of Agriculture (USDA). SNAP Policy Database. (http://www.ers.usda.gov/data-products/snap-policy-database.aspx)."}

    © SNAP_OAPP05

    This layer is sourced from gis.ers.usda.gov.

  6. a

    SNAP-Ed Eligibility Map

    • resiliencelink-wvu.hub.arcgis.com
    Updated Sep 23, 2019
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    West Virginia University (2019). SNAP-Ed Eligibility Map [Dataset]. https://resiliencelink-wvu.hub.arcgis.com/maps/6b6afdd7287041199f09f03f0e55605f
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    Dataset updated
    Sep 23, 2019
    Dataset authored and provided by
    West Virginia University
    Area covered
    Description

    SNAP is the largest nutrition assistance program in the US. Understanding where SNAP dollars can be redeemed is thus a critical part of understanding food access environments. Data compiled from the USDA Food and Nutrition Service SNAP Retail locator downloaded from https://www.fns.usda.gov/snap/retailer-locatorXY coordinates for each retailer were re-verified using google maps due to geocoding inaccuracies in the USDA database.

  7. Food Assistance - SNAP - SNAP Broad-based Categorical Eligibility, 2010*

    • koordinates.com
    csv, dwg, geodatabase +6
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    ers.usda.gov, Food Assistance - SNAP - SNAP Broad-based Categorical Eligibility, 2010* [Dataset]. https://koordinates.com/layer/24530-food-assistance-snap-snap-broad-based-categorical-eligibility-2010/
    Explore at:
    pdf, shapefile, geopackage / sqlite, mapinfo tab, geodatabase, kml, mapinfo mif, dwg, csvAvailable download formats
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Area covered
    Description

    {"definition": "The State used broad-based categorical eligibility to increase or eliminate the asset test and/or to increase the gross income limit for virtually all SNAP applicants in at least one month during the calendar year.", "availableYears": "2010", "name": "SNAP Broad-based Categorical Eligibility, 2010*", "units": "Classification", "shortName": "SNAP_BBCE10", "geographicLevel": "State", "dataSources": "SNAP Policy Database, Economic Research Service (ERS), U.S. Department of Agriculture (USDA). SNAP Policy Database. (http://www.ers.usda.gov/data-products/snap-policy-database.aspx)."}

    © SNAP_BBCE10

    This layer is sourced from gis.ers.usda.gov.

  8. a

    SNAP Enrollment

    • resiliencelink-wvu.hub.arcgis.com
    Updated Jul 30, 2019
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    West Virginia University (2019). SNAP Enrollment [Dataset]. https://resiliencelink-wvu.hub.arcgis.com/maps/1bc8752287dc4b458ffb38085652d0b2
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    Dataset updated
    Jul 30, 2019
    Dataset authored and provided by
    West Virginia University
    Area covered
    Description

    SNAP is the largest nutrition assistance program in the US. Understanding where SNAP dollars can be redeemed is thus a critical part of understanding food access environments. Data compiled from the USDA Food and Nutrition Service SNAP Retail locator downloaded from https://www.fns.usda.gov/snap/retailer-locatorXY coordinates for each retailer were re-verified using google maps due to geocoding inaccuracies in the USDA database.

  9. Global import data of Metal Snap

    • volza.com
    csv
    Updated Jan 7, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Metal Snap [Dataset]. https://www.volza.com/p/metal-snap/import/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    95879 Global import shipment records of Metal Snap with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  10. T

    Laos Imports of buttons, press-fasteners, snap-fasteners and press-studs,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 13, 2024
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    TRADING ECONOMICS (2024). Laos Imports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds from Latvia [Dataset]. https://tradingeconomics.com/laos/imports/latvia/buttons-press-fasteners-snap-fasteners-press-studs-button-moulds
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    May 13, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    Laos
    Description

    Laos Imports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds from Latvia was US$479 during 2023, according to the United Nations COMTRADE database on international trade. Laos Imports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds from Latvia - data, historical chart and statistics - was last updated on July of 2025.

  11. d

    San Carlos_Costa Rica database for HYP-20-0127

    • search.dataone.org
    • hydroshare.org
    Updated Dec 5, 2021
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    Christian Birkel (2021). San Carlos_Costa Rica database for HYP-20-0127 [Dataset]. https://search.dataone.org/view/sha256%3A7f68142a08567b6d6bb19d422069a390a5d27a1a46091c95a0ffc4d04a52f44e
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Christian Birkel
    Time period covered
    Jun 1, 2018 - May 31, 2019
    Area covered
    Description

    Headwaters are generally assumed to contribute the majority of water to downstream users, but how much water, of what quality and where it is generated are rarely known in the humid tropics. In this study, using monthly monitoring in the data scarce (2370 km2) San Carlos catchment in northeastern Costa Rica, we determined runoff-area relationships and related those to geochemical and isotope tracers. We established 46 monitoring sites covering the full range of climatic, land use and geological gradients in the catchment. Regression and cluster analysis revealed unique spatial patterns and hydrologically functional landscape units. These units were used for Bayesian mixing models to assess spatial water source contributions to the outlet. Generally, the chemical and isotopic imprint at the outlet is dominated by the adjacent lowland catchments (68 %) with much less influence from the headwaters. In contrast, flow volumes seemed to be linearly scaled by area, which was only true in terms of tracers for the physically more homogeneous headwater catchments. The headwater catchments contributed the bulk of water and tracers to the outlet during the dry season (>50 %) despite covering less than half of the total catchment area. Stable isotopes indicated mean recharge elevations above the mean catchment altitude, which provide further support that headwaters were the primary source of downstream water. Our spatially detailed “snap-shot” sampling enabled a viable alternative source of large-scale hydrological process knowledge in the humid tropics with limited data availability.

  12. Global import data of Snap Ring

    • volza.com
    csv
    Updated Jul 14, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Snap Ring [Dataset]. https://www.volza.com/imports-indonesia/indonesia-import-data-of-snap+ring
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    18365 Global import shipment records of Snap Ring with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  13. Food Assistance - SNAP - SNAP face interview waiver, 2005*

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 16, 2016
    + more versions
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    ers.usda.gov (2016). Food Assistance - SNAP - SNAP face interview waiver, 2005* [Dataset]. https://koordinates.com/layer/24537-food-assistance-snap-snap-face-interview-waiver-2005/
    Explore at:
    kml, mapinfo tab, pdf, geopackage / sqlite, geodatabase, dwg, mapinfo mif, csv, shapefileAvailable download formats
    Dataset updated
    Sep 16, 2016
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Area covered
    Description

    {"definition": "The State has been granted a waiver to use a telephone interview in lieu of a face-to-face interview at initial certification and/or at recertification, without having to document household hardship, that is valid in at least 1 month of the calendar year.", "availableYears": "2005", "name": "SNAP face interview waiver, 2005*", "units": "Classification", "shortName": "SNAP_FACEWAIVER05", "geographicLevel": "State", "dataSources": "SNAP Policy Database, Economic Research Service (ERS), U.S. Department of Agriculture (USDA). SNAP Policy Database. (http://www.ers.usda.gov/data-products/snap-policy-database.aspx)."}

    © SNAP_FACEWAIVER05

    This layer is sourced from gis.ers.usda.gov.

  14. SNAP Memetracker

    • kaggle.com
    Updated Nov 21, 2016
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    Stanford Network Analysis Project (2016). SNAP Memetracker [Dataset]. https://www.kaggle.com/snap/snap-memetracker/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 21, 2016
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Stanford Network Analysis Project
    License

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

    Description

    This database contains a subset of the Memetracker dataset collected by SNAP.

    The full Memetracker dataset has observations broken into months. Because of size considerations, however, this version consists of one-half of a month: the first 15 days of Memetracker observations from November 2008.

    About

    Memetracker tracks the quotes and phrases that appear most frequently over time across the entire online news spectrum. This makes it possible to see how different stories compete for news and blog coverage each day, and how certain stories persist while others fade quickly.

    Overall Memetracker tracks more than 17 million different phrases and about 54% of the total phrase/quote mentions appear on blogs and 46% in news media.

    Acknowledgments

    This dataset was collected by the Stanford Network Analysis Project. Detailed information about the data and its analysis can be found at the website here.

    An analysis of this dataset was published here:
    J. Leskovec, L. Backstrom, J. Kleinberg. Meme-tracking and the Dynamics of the News Cycle. ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2009.

    The Data

    The SQLite database contains three tables:

    articles: 4,542,920 records, with the following fields:

    • article_id: a unique id for the article (int)
    • url: the URL of the article (text)
    • date: the date of the article (text), in the strptime format '%Y-%m-%d %H:%M:%S'

    quotes: 7,956,125 records, with the following fields:

    • article_id: unique id for the article that this quote was found in (int)
    • phrase: the high-frequency phrase found in the article (text)

    links: 16,727,125 records, with the following fields:

    • article_id: unique id for the article that this link was found in (int)
    • link_out: the URL of the link out (text)
    • link_out_id: unique id for the target article (int), if it exists; else NULL
  15. Global import data of Snap Button Machine

    • volza.com
    csv
    Updated Jun 24, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Snap Button Machine [Dataset]. https://www.volza.com/p/snap-button-machine/import/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    544 Global import shipment records of Snap Button Machine with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  16. a

    WV Change in SNAP Benefits

    • resiliencelink-wvu.hub.arcgis.com
    Updated Jan 29, 2021
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    West Virginia University (2021). WV Change in SNAP Benefits [Dataset]. https://resiliencelink-wvu.hub.arcgis.com/items/0cbea06a21444710ad1aff6059e8cf3e
    Explore at:
    Dataset updated
    Jan 29, 2021
    Dataset authored and provided by
    West Virginia University
    Area covered
    Description

    SNAP is the largest nutrition assistance program in the US. Understanding where SNAP dollars can be redeemed is thus a critical part of understanding food access environments. Data compiled from the USDA Food and Nutrition Service SNAP Retail locator downloaded from https://www.fns.usda.gov/snap/retailer-locatorXY coordinates for each retailer were re-verified using google maps due to geocoding inaccuracies in the USDA database.

  17. T

    Cuba Imports of buttons, press-fasteners, snap-fasteners and press-studs,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 14, 2025
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    TRADING ECONOMICS (2025). Cuba Imports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds from France [Dataset]. https://tradingeconomics.com/cuba/imports/france/buttons-press-studs-button-mold-blanks
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    Cuba
    Description

    Cuba Imports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds from France was US$40 during 2022, according to the United Nations COMTRADE database on international trade. Cuba Imports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds from France - data, historical chart and statistics - was last updated on June of 2025.

  18. T

    Estonia Exports of buttons, press-fasteners, snap-fasteners and press-studs,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 24, 2024
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    TRADING ECONOMICS (2024). Estonia Exports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds to Belgium [Dataset]. https://tradingeconomics.com/estonia/exports/belgium/buttons-press-studs-button-mold-blanks
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    Estonia
    Description

    Estonia Exports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds to Belgium was US$83 during 2024, according to the United Nations COMTRADE database on international trade. Estonia Exports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds to Belgium - data, historical chart and statistics - was last updated on July of 2025.

  19. T

    Norway Exports of buttons, press-fasteners, snap-fasteners and press-studs,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 14, 2025
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    TRADING ECONOMICS (2025). Norway Exports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds to Guyana [Dataset]. https://tradingeconomics.com/norway/exports/guyana/buttons-press-studs-button-mold-blanks
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    Norway
    Description

    Norway Exports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds to Guyana was US$351 during 2024, according to the United Nations COMTRADE database on international trade. Norway Exports of buttons, press-fasteners, snap-fasteners and press-studs, button moulds to Guyana - data, historical chart and statistics - was last updated on June of 2025.

  20. Global exporters importers-export import data of Sewing snap button

    • volza.com
    csv
    Updated May 6, 2025
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    Volza FZ LLC (2025). Global exporters importers-export import data of Sewing snap button [Dataset]. https://www.volza.com/p/sewing-snap-button/
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 6, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of export import value
    Description

    3964 Global exporters importers export import shipment records of Sewing snap button with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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USDA Economic Research Service (2025). SNAP Policy Data Sets [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/SNAP_Policy_Data_Sets/25696446
Organization logo

Data from: SNAP Policy Data Sets

Related Article
Explore at:
binAvailable download formats
Dataset updated
Apr 23, 2025
Dataset provided by
Economic Research Servicehttp://www.ers.usda.gov/
Authors
USDA Economic Research Service
License

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

Description

The SNAP Policy Database provides a central data source for information on State policy options in the Supplemental Nutrition Assistance Program (SNAP). The database includes information on State-level SNAP policies relating to eligibility criteria, recertification and reporting requirements, benefit issuance methods, availability of online applications, use of biometric technology (such as fingerprinting), and coordination with other low-income assistance programs. Data are provided for all 50 States and the District of Columbia for each month from January 1996 through December 2011.

The information in this database can facilitate research on factors that influence SNAP participation and on SNAP's effects on a variety of outcomes, such as health and dietary intake. More specifically, the database can be used to:

  • Describe the differences in the State-level administration of SNAP and trends in the adoption of specific State-level SNAP policies,
  • Examine how State policies affect household-level participation in SNAP, and
  • Estimate the effect of SNAP participation on outcomes such as health and food spending by combining this data with nationally representative survey data. The SNAP Policy Database provides a potentially exogenous source of variation in program participation and can be used in instrumental variables estimation techniques.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: SNAP Policy Data Sets For complete information, please visit https://data.gov.
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