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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:
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.
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.
U.S. Government Workshttps://www.usa.gov/government-works
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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.
{"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.
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.
{"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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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95879 Global import shipment records of Metal Snap with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
18365 Global import shipment records of Snap Ring with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
{"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.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
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.
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 SQLite database contains three tables:
articles
: 4,542,920 records, with the following fields:
quotes
: 7,956,125 records, with the following fields:
links
: 16,727,125 records, with the following fields:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
544 Global import shipment records of Snap Button Machine with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
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: