Trends in Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2010 to Fiscal Year 2017 is the latest in a series on SNAP participation rates, which estimate the proportion of people eligible for benefits under Federal income and asset rules who actually participate in the program. This report presents rates for fiscal year (FY) 2017, comparing them to rates for FYs 2010 through 2016.

The Program Access Index (PAI) is one of the measures the USDA Food and Nutrition Service (FNS) uses to reward States for high performance in the administration of the Supplemental Nutrition Assistance Program (SNAP). The Farm Security and Rural Investment Act of 2002 (also known as the 2002 Farm Bill) directed USDA to establish a number of indicators of effective program performance and to award bonus payments to States with the best and most improved performance. The PAI is designed to indicate the degree to which low-income people have access to SNAP benefits.

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), providing millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2020, SNAP served an average of 39.9 million people monthly and paid out $74.2 billion in benefits, which includes the cost of emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency. In response to legislative adjustments to program rules and changes in economic and demographic trends, the characteristics of SNAP participants and households and the size of the SNAP caseload change over time. 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 conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for each State’s SNAP caseload. The COVID-19 public health emergency resulted in an incomplete FY 2020 sample in the raw data file. FNS granted States temporary waivers on conducting QC reviews starting in March 2020. Very few States collected QC data from March 2020 through May 2020. Most States opted to conduct QC reviews from June 2020 through September 2020, although FNS was unable to provide its usual level of oversight of the sampling procedures. Furthermore, monthly State samples for this time period were often smaller than usual. This dataset includes separate SNAP QC files for FY 2020. The first covers the “pre-pandemic” period of October 2019 through February 2020. The second covers the “waiver” period of June 2020 through September 2020 for the 47 States and territories that provided sufficient data for at least one of those months. Resources in this dataset:Resource Title: Fiscal Year 2020 Supplemental Nutrition Assistance Program Quality Control Database (Period 2). File Name: qc_pub_fy2020_per2.csvResource 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), providing millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2020, SNAP served an average of 39.9 million people monthly and paid out $74.2 billion in benefits, which includes the cost of emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency. In response to legislative adjustments to program rules and changes in economic and demographic trends, the characteristics of SNAP participants and households and the size of the SNAP caseload change over time. 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 conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for each State’s SNAP caseload.

The COVID-19 public health emergency resulted in an incomplete FY 2020 sample in the raw data file. FNS granted States temporary waivers on conducting QC reviews starting in March 2020. Very few States collected QC data from March 2020 through May 2020. Most States opted to conduct QC reviews from June 2020 through September 2020, although FNS was unable to provide its usual level of oversight of the sampling procedures. Furthermore, monthly State samples for this time period were often smaller than usual.

There are separate SNAP QC databases for FY 2020. The first covers the “pre-pandemic” period of October 2019 through February 2020. The second covers the “waiver” period of June 2020 through September 2020 for the 47 States and territories that provided sufficient data for at least one of those months.Resource Title: Fiscal Year 2020 Supplemental Nutrition Assistance Program Quality Control Database (Period 1). File Name: qc_pub_fy2020_per1.csvResource 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), providing millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2020, SNAP served an average of 39.9 million people monthly and paid out $74.2 billion in benefits, which includes the cost of emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency. In response to legislative adjustments to program rules and changes in economic and demographic trends, the characteristics of SNAP participants and households and the size of the SNAP caseload change over time. 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 conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for each State’s SNAP caseload.

The COVID-19 public health emergency resulted in an incomplete FY 2020 sample in the raw data file. FNS granted States temporary waivers on conducting QC reviews starting in March 2020. Very few States collected QC data from March 2020 through May 2020. Most States opted to conduct QC reviews from June 2020 through September 2020, although FNS was unable to provide its usual level of oversight of the sampling procedures. Furthermore, monthly State samples for this time period were often smaller than usual.

There are separate SNAP QC databases for FY 2020. The first covers the “pre-pandemic” period of October 2019 through February 2020. The second covers the “waiver” period of June 2020 through September 2020 for the 47 States and territories that provided sufficient data for at least one of those months.Resource Title: Technical Documentation for the Fiscal Year 2020 Supplemental Nutrition Assistance Program Quality Control Database and the QC Minimodel. File Name: FY2020TechDoc.pdfResource 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), providing millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2020, SNAP served an average of 39.9 million people monthly and paid out $74.2 billion in benefits, which includes the cost of emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency. In response to legislative adjustments to program rules and changes in economic and demographic trends, the characteristics of SNAP participants and households and the size of the SNAP caseload change over time. 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 conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for each State’s SNAP caseload.

The COVID-19 public health emergency resulted in an incomplete FY 2020 sample in the raw data file. FNS granted States temporary waivers on conducting QC reviews starting in March 2020. Very few States collected QC data from March 2020 through May 2020. Most States opted to conduct QC reviews from June 2020 through September 2020, although FNS was unable to provide its usual level of oversight of the sampling procedures. Furthermore, monthly State samples for this time period were often smaller than usual.

There are separate SNAP QC databases for FY 2020. The first covers the “pre-pandemic” period of October 2019 through February 2020. The second covers the “waiver” period of June 2020 through September 2020 for the 47 States and territories that provided sufficient data for at least one of those months.

These data are monthly listings of households, recipients and expenditures for the Supplemental Nutrition Assistance Program.

Monthly trend statistics on SNAP supplemental nutrition assistance program recipients.

loc-Brightkite

https://snap.stanford.edu/data/loc-Brightkite.html

Dataset information

Brightkite (http://www.brightkite.com/) was once a location-based social
networking service provider where users shared their locations by
checking-in. The friendship network was collected using their public API, and consists of 58,228 nodes and 214,078 edges. The network is originally
directed but we have constructed a network with undirected edges when there is a friendship in both ways. We have also collected a total of 4,491,143
checkins of these users over the period of Apr. 2008 - Oct. 2010.

Dataset statistics
Nodes 58,228
Edges 214,078
Nodes in largest WCC 56739 (0.974)
Edges in largest WCC 212945 (0.995)
Nodes in largest SCC 56739 (0.974)
Edges in largest SCC 212945 (0.995)
Average clustering coefficient 0.1723
Number of triangles 494728
Fraction of closed triangles 0.03979
Diameter (longest shortest path) 16
90-percentile effective diameter 6
Checkins 4,491,143

Source (citation)
E. Cho, S. A. Myers, J. Leskovec. Friendship and Mobility: Friendship and
Mobility: User Movement in Location-Based Social Networks ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (KDD),
2011. http://cs.stanford.edu/people/jure/pubs/mobile-kdd11.pdf

Files
File Description
loc-brightkite_edges.txt.gz Friendship network of Brightkite users
loc-brightkite_totalCheckins.txt.gz
Time and location information of check-ins made by users

Example of check-in information

[user][check-in time]   [latitude] [longitude] [location id]    
58186 2008-12-03T21:09:14Z 39.633321 -105.317215 ee8b88dea22411    
58186 2008-11-30T22:30:12Z 39.633321 -105.317215 ee8b88dea22411    
58186 2008-11-28T17:55:04Z -13.158333 -72.531389 e6e86be2a22411    
58186 2008-11-26T17:08:25Z 39.633321 -105.317215 ee8b88dea22411    
58187 2008-08-14T21:23:55Z 41.257924 -95.938081 4c2af967eb5df8    
58187 2008-08-14T07:09:38Z 41.257924 -95.938081 4c2af967eb5df8    
58187 2008-08-14T07:08:59Z 41.295474 -95.999814 f3bb9560a2532e    
58187 2008-08-14T06:54:21Z 41.295474 -95.999814 f3bb9560a2532e    
58188 2010-04-06T06:45:19Z 46.521389  14.854444 ddaa40aaa22411    
58188 2008-12-30T15:30:08Z 46.522621  14.849618 58e12bc0d67e11    
58189 2009-04-08T07:36:46Z 46.554722  15.646667 ddaf9c4ea22411    
58190 2009-04-08T07:01:28Z 46.421389  15.869722 dd793f96a22411    

Notes on inclusion into the SuiteSparse Matrix Collection, July 2018:

The SNAP data set is 0-based, with nodes numbered 0 to 58,227.

In the SuiteSparse Matrix Collection the graph is converted to 1-based.
The Problem.A matrix is the undirected friendship network, where
A(i,j)=1 if person 1+i and person...

The percentage of each county population in Maryland that participate in the Supplemental Nutrition Assistance Program (SNAP) (previously known as food stamps), specifically among those that are eligible, i.e. they have an income low enough to qualify for benefits.

The number of eligible people not participating in SNAP in each county in state fiscal year 2017 was generated by comparing the number of people living below 185 percent of the federal poverty level - a proxy for those who are likely eligible for SNAP — to those who are currently participating in the program. Nationally, the eligibility cut-off for SNAP is 130 percent of the federal poverty level, but this dataset uses 185 percent of the federal poverty level due to the high cost of living in Maryland.

Data source: United States Census Bureau, Maryland Department of Human Resources

Date: 2017

State participation rates for all eligible people and working poor people in Virginia between 1998 - 2018. Working Poor are defined as people who are eligible for Supplemental Nutrition Assistance Program (SNAP) and live in a household in which a member earns money from a job.

Bitcoin Alpha trust weighted signed network

https://snap.stanford.edu/data/soc-sign-bitcoin-alpha.html

Dataset information

This is who-trusts-whom network of people who trade using Bitcoin on a
platform called Bitcoin Alpha (http://www.btcalpha.com/). Since Bitcoin
users are anonymous, there is a need to maintain a record of users'
reputation to prevent transactions with fraudulent and risky users. Members of Bitcoin Alpha rate other members in a scale of -10 (total distrust) to
+10 (total trust) in steps of 1. This is the first explicit weighted signed directed network available for research.

Dataset statistics
Nodes 3,783
Edges 24,186
Range of edge weight -10 to +10
Percentage of positive edges 93%

Similar network from another Bitcoin platform, Bitcoin OTC, is available at https://snap.stanford.edu/data/soc-sign-bitcoinotc.html (and as
SNAP/bitcoin-otc in the SuiteSparse Matrix Collection).

Source (citation) Please cite the following paper if you use this dataset: S. Kumar, F. Spezzano, V.S. Subrahmanian, C. Faloutsos. Edge Weight
Prediction in Weighted Signed Networks. IEEE International Conference on
Data Mining (ICDM), 2016.
http://cs.stanford.edu/~srijan/pubs/wsn-icdm16.pdf

The following BibTeX citation can be used:
@inproceedings{kumar2016edge,
title={Edge weight prediction in weighted signed networks},
author={Kumar, Srijan and Spezzano, Francesca and
Subrahmanian, VS and Faloutsos, Christos},
booktitle={Data Mining (ICDM), 2016 IEEE 16th Intl. Conf. on},
pages={221--230},
year={2016},
organization={IEEE}
}

The project webpage for this paper, along with its code to calculate two
signed network metrics---fairness and goodness---is available at
http://cs.umd.edu/~srijan/wsn/

Files
File Description
soc-sign-bitcoinalpha.csv.gz
Weighted Signed Directed Bitcoin Alpha web of trust network

Data format
Each line has one rating with the following format:

SOURCE, TARGET, RATING, TIME                      

where

SOURCE: node id of source, i.e., rater                 
TARGET: node id of target, i.e., ratee                 
RATING: the source's rating for the target,              
    ranging from -10 to +10 in steps of 1             
TIME: the time of the rating, measured as seconds since Epoch.     

Notes on inclusion into the Suite...

Ebitda Time Series for Snap Inc. Snap Inc. operates as a technology company in North America, Europe, and internationally. The company offers Snapchat, a visual messaging application with various tabs, such as camera, visual messaging, snap map, stories, and spotlight that enable people to communicate visually through short videos and images. It also provides Snapchat+, a subscription service that provides subscribers access to exclusive, experimental, and pre-release features; Spectacles, an eyewear product; and advertising products, including AR ads and Snap ads comprises a single image or video ads, collection ads, dynamic ads, story ads, commercials, sponsored snaps, and promoted places. The company was formerly known as Snapchat, Inc. and changed its name to Snap Inc. in September 2016. Snap Inc. was founded in 2010 and is headquartered in Santa Monica, California.

Change-In-Working-Capital Time Series for Snap Inc. Snap Inc. operates as a technology company in North America, Europe, and internationally. The company offers Snapchat, a visual messaging application with various tabs, such as camera, visual messaging, snap map, stories, and spotlight that enable people to communicate visually through short videos and images. It also provides Snapchat+, a subscription service that provides subscribers access to exclusive, experimental, and pre-release features; Spectacles, an eyewear product; and advertising products, including AR ads and Snap ads comprises a single image or video ads, collection ads, dynamic ads, story ads, commercials, sponsored snaps, and promoted places. The company was formerly known as Snapchat, Inc. and changed its name to Snap Inc. in September 2016. Snap Inc. was founded in 2010 and is headquartered in Santa Monica, California.

Total-Asset-Turnover Time Series for Snap Inc. Snap Inc. operates as a technology company in North America, Europe, and internationally. The company offers Snapchat, a visual messaging application with various tabs, such as camera, visual messaging, snap map, stories, and spotlight that enable people to communicate visually through short videos and images. It also provides Snapchat+, a subscription service that provides subscribers access to exclusive, experimental, and pre-release features; Spectacles, an eyewear product; and advertising products, including AR ads and Snap ads comprises a single image or video ads, collection ads, dynamic ads, story ads, commercials, sponsored snaps, and promoted places. The company was formerly known as Snapchat, Inc. and changed its name to Snap Inc. in September 2016. Snap Inc. was founded in 2010 and is headquartered in Santa Monica, California.

Investments Time Series for Snap Inc. Snap Inc. operates as a technology company in North America, Europe, and internationally. The company offers Snapchat, a visual messaging application with various tabs, such as camera, visual messaging, snap map, stories, and spotlight that enable people to communicate visually through short videos and images. It also provides Snapchat+, a subscription service that provides subscribers access to exclusive, experimental, and pre-release features; Spectacles, an eyewear product; and advertising products, including AR ads and Snap ads comprises a single image or video ads, collection ads, dynamic ads, story ads, commercials, sponsored snaps, and promoted places. The company was formerly known as Snapchat, Inc. and changed its name to Snap Inc. in September 2016. Snap Inc. was founded in 2010 and is headquartered in Santa Monica, California.

Stock Price Time Series for Snap Inc. Snap Inc. operates as a technology company in North America, Europe, and internationally. The company offers Snapchat, a visual messaging application with various tabs, such as camera, visual messaging, snap map, stories, and spotlight that enable people to communicate visually through short videos and images. It also provides Snapchat+, a subscription service that provides subscribers access to exclusive, experimental, and pre-release features; Spectacles, an eyewear product; and advertising products, including AR ads and Snap ads comprises a single image or video ads, collection ads, dynamic ads, story ads, commercials, sponsored snaps, and promoted places. The company was formerly known as Snapchat, Inc. and changed its name to Snap Inc. in September 2016. Snap Inc. was founded in 2010 and is headquartered in Santa Monica, California.

This public dataset published by USDA summarizes the total number of enrollees in the Supplemental Nutrition Assistance Program (SNAP) by region. SNAP provides nutrition benefits to supplement the food budget of families and persons meeting eligibility criteria related to monthly income. Program enrollment data offers a direct look into some of the most important underlying social determinants of health (SDoH) by county, including financial insecurity and food insecurity. Analysis of this data can also provide information about the characteristics of the subsidy program’s reach and market penetration over time. As an objective marker of the welfare benefit program’s utilization, these data also offer a complementary view of these SDoH alongside the survey-based questions about SNAP that are included in the ACS dataset. States report these administrative data to the USDA twice a year. The dataset includes total count of people, households and issuance of SNAP benefits by county or county/program. For more information, please refer to the USDA’s SNAP website (link )

Change-To-Liabilities Time Series for Snap Inc. Snap Inc. operates as a technology company in North America, Europe, and internationally. The company offers Snapchat, a visual messaging application with various tabs, such as camera, visual messaging, snap map, stories, and spotlight that enable people to communicate visually through short videos and images. It also provides Snapchat+, a subscription service that provides subscribers access to exclusive, experimental, and pre-release features; Spectacles, an eyewear product; and advertising products, including AR ads and Snap ads comprises a single image or video ads, collection ads, dynamic ads, story ads, commercials, sponsored snaps, and promoted places. The company was formerly known as Snapchat, Inc. and changed its name to Snap Inc. in September 2016. Snap Inc. was founded in 2010 and is headquartered in Santa Monica, California.

The Supplemental Nutrition Assistance Program (SNAP), formerly known as Food Stamps, helps low-income households buy the food they need for good health. Source: Maryland Department of Human Resources Years Available: 2019

Funds-From-Operation-To-Total-Debt Time Series for Snap Inc. Snap Inc. operates as a technology company in North America, Europe, and internationally. The company offers Snapchat, a visual messaging application with various tabs, such as camera, visual messaging, snap map, stories, and spotlight that enable people to communicate visually through short videos and images. It also provides Snapchat+, a subscription service that provides subscribers access to exclusive, experimental, and pre-release features; Spectacles, an eyewear product; and advertising products, including AR ads and Snap ads comprises a single image or video ads, collection ads, dynamic ads, story ads, commercials, sponsored snaps, and promoted places. The company was formerly known as Snapchat, Inc. and changed its name to Snap Inc. in September 2016. Snap Inc. was founded in 2010 and is headquartered in Santa Monica, California.

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

This report is the latest in a series on SNAP participation rates, which estimate the proportion of people eligible for benefits under federal income and asset rules to those who actually participate in the program. This report presents rates for fiscal year (FY) 2019, comparing them to rates for FY 2016-19 and showing participation rates by household characteristics.