In 1986, the Congress enacted Public Laws 99-500 and 99-591, requiring a biennial report on the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). In response to these requirements, FNS developed a prototype system that allowed for the routine acquisition of information on WIC participants from WIC State Agencies. Since 1992, State Agencies have provided electronic copies of these data to FNS on a biennial basis. FNS and the National WIC Association (formerly National Association of WIC Directors) agreed on a set of data elements for the transfer of information. In addition, FNS established a minimum standard dataset for reporting participation data. For each biennial reporting cycle, each State Agency is required to submit a participant-level dataset containing standardized information on persons enrolled at local agencies for the reference month of April. The 2018 Participant and Program Characteristics (PC2018) is the fourteenth data submission to be completed using the WIC PC reporting system. In April 2018, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations. Processing methods and equipment used Specifications on formats (“Guidance for States Providing Participant Data”) were provided to all State agencies in January 2018. This guide specified 20 minimum dataset (MDS) elements and 11 supplemental dataset (SDS) elements to be reported on each WIC participant. Each State Agency was required to submit all 20 MDS items and any SDS items collected by the State agency.   Study date(s) and duration The information for each participant was from the participants’ most current WIC certification as of April 2018. Study spatial scale (size of replicates and spatial scale of study area) In April 2018, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations. Level of true replication Unknown Sampling precision (within-replicate sampling or pseudoreplication) State Agency Data Submissions. PC2018 is a participant dataset consisting of 7,837,672 active records. The records, submitted to USDA by the State Agencies, comprise a census of all WIC enrollees, so there is no sampling involved in the collection of this data. PII Analytic Datasets. State agency files were combined to create a national census participant file of approximately 7.8 million records. The census dataset contains potentially personally identifiable information (PII) and is therefore not made available to the public. National Sample Dataset. The public use SAS analytic dataset made available to the public has been constructed from a nationally representative sample drawn from the census of WIC participants, selected by participant category. The national sample consists of 1 percent of the total number of participants, or 78,365 records. The distribution by category is 6,825 pregnant women, 6,189 breastfeeding women, 5,134 postpartum women, 18,552 infants, and 41,665 children. Level of subsampling (number and repeat or within-replicate sampling) The proportionate (or self-weighting) sample was drawn by WIC participant category: pregnant women, breastfeeding women, postpartum women, infants, and children. In this type of sample design, each WIC participant has the same probability of selection across all strata. Sampling weights are not needed when the data are analyzed. In a proportionate stratified sample, the largest stratum accounts for the highest percentage of the analytic sample. Study design (before–after, control–impacts, time series, before–after-control–impacts) None – Non-experimental Description of any data manipulation, modeling, or statistical analysis undertaken Each entry in the dataset contains all MDS and SDS information submitted by the State agency on the sampled WIC participant. In addition, the file contains constructed variables used for analytic purposes. To protect individual privacy, the public use file does not include State agency, local agency, or case identification numbers. Description of any gaps in the data or other limiting factors All State agencies except New Mexico provided data on a census of their WIC participants. Resources in this dataset:Resource Title: WIC Participant and Program Characteristics 2018 Data. File Name: wicpc.wicpc2018_public_use.csvResource Title: WIC Participant and Program Characteristics 2018 Dataset Codebook. File Name: PC2018 National Sample File Public Use Codebook updated.docxResource Description: The 2018 Participant and Program Characteristics (PC2018) is the fourteenth data submission to be completed using the WIC PC reporting system. In April 2018, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations.Resource Title: WIC Participant and Program Characteristics 2018 Datasets SAS STATA SPSS. File Name: wicpc2018_agdatacoomonsupload.zipResource Description: The 2018 Participant and Program Characteristics (PC2018) is the fourteenth data submission to be completed using the WIC PC reporting system. In April 2018, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations.

This dataset contains the number of Women, Infants, and Children (WIC) program participants by Colorado census tract. This dataset was last updated in 2017. This dataset was geocoded and published by the Colorado Department of Public Health and Environment. More information about the WIC Program in Colorado can be found here.

Description of the experiment setting: location, influential climatic conditions, controlled conditions (e.g. temperature, light cycle) In 1986, the Congress enacted Public Laws 99-500 and 99-591, requiring a biennial report on the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). In response to these requirements, FNS developed a prototype system that allowed for the routine acquisition of information on WIC participants from WIC State Agencies. Since 1992, State Agencies have provided electronic copies of these data to FNS on a biennial basis. FNS and the National WIC Association (formerly National Association of WIC Directors) agreed on a set of data elements for the transfer of information. In addition, FNS established a minimum standard dataset for reporting participation data. For each biennial reporting cycle, each State Agency is required to submit a participant-level dataset containing standardized information on persons enrolled at local agencies for the reference month of April. The 2016 Participant and Program Characteristics (PC2016) is the thirteenth data submission to be completed using the WIC PC reporting system. In April 2016, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations. Processing methods and equipment used Specifications on formats (“Guidance for States Providing Participant Data”) were provided to all State agencies in January 2016. This guide specified 20 minimum dataset (MDS) elements and 11 supplemental dataset (SDS) elements to be reported on each WIC participant. Each State Agency was required to submit all 20 MDS items and any SDS items collected by the State agency.   Study date(s) and duration The information for each participant was from the participants’ most current WIC certification as of April 2016. Due to management information constraints, Connecticut provided data for a month other than April 2016, specifically August 16 – September 15, 2016. Study spatial scale (size of replicates and spatial scale of study area) In April 2016, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations. Level of true replication Unknown Sampling precision (within-replicate sampling or pseudoreplication) State Agency Data Submissions. PC2016 is a participant dataset consisting of 8,815,472 active records. The records, submitted to USDA by the State Agencies, comprise a census of all WIC enrollees, so there is no sampling involved in the collection of this data. PII Analytic Datasets. State agency files were combined to create a national census participant file of approximately 8.8 million records. The census dataset contains potentially personally identifiable information (PII) and is therefore not made available to the public. National Sample Dataset. The public use SAS analytic dataset made available to the public has been constructed from a nationally representative sample drawn from the census of WIC participants, selected by participant category. The nationally representative sample is composed of 60,003 records. The distribution by category is 5,449 pregnant women, 4,661 breastfeeding women, 3,904 postpartum women, 13,999 infants, and 31,990 children. Level of subsampling (number and repeat or within-replicate sampling) The proportionate (or self-weighting) sample was drawn by WIC participant category: pregnant women, breastfeeding women, postpartum women, infants, and children. In this type of sample design, each WIC participant has the same probability of selection across all strata. Sampling weights are not needed when the data are analyzed. In a proportionate stratified sample, the largest stratum accounts for the highest percentage of the analytic sample. Study design (before–after, control–impacts, time series, before–after-control–impacts) None – Non-experimental Description of any data manipulation, modeling, or statistical analysis undertaken Each entry in the dataset contains all MDS and SDS information submitted by the State agency on the sampled WIC participant. In addition, the file contains constructed variables used for analytic purposes. To protect individual privacy, the public use file does not include State agency, local agency, or case identification numbers. Description of any gaps in the data or other limiting factors Due to management information constraints, Connecticut provided data for a month other than April 2016, specifically August 16 – September 15, 2016.   Outcome measurement methods and equipment used None Resources in this dataset:Resource Title: WIC Participant and Program Characteristics 2016. File Name: wicpc_2016_public.csvResource Description: The 2016 Participant and Program Characteristics (PC2016) is the thirteenth data submission to be completed using the WIC PC reporting system. In April 2016, there were 90 State agencies: the 50 States, American Samoa, the District of Columbia, Guam, the Northern Mariana Islands, Puerto Rico, the American Virgin Islands, and 34 Indian tribal organizations.Resource Software Recommended: SAS, version 9.4,url: https://www.sas.com/en_us/software/sas9.html Resource Title: WIC Participant and Program Characteristics 2016 Codebook. File Name: WICPC2016_PUBLIC_CODEBOOK.xlsxResource Software Recommended: SAS, version 9.4,url: https://www.sas.com/en_us/software/sas9.html Resource Title: WIC Participant and Program Characteristics 2016 - Zip File with SAS, SPSS and STATA data. File Name: WIC_PC_2016_SAS_SPSS_STATA_Files.zipResource Description: WIC Participant and Program Characteristics 2016 - Zip File with SAS, SPSS and STATA data

This dataset includes WIC households enrolled during state fiscal year (SFY) 2024 located in counties and municipalities with populations greater than 1,000 inhabitants. The total value of benefits redeemed by each household is aggregated for SFY 2024. Population values may be blank if a household does not fall within a municipality with a population greater than 1,000 inhabitants per United States Census Bureau data. Municipality names may be blank if a household does not fall within a municipal boundary or a census-designated place. County fields may be blank if the household does not fall within a municipal boundary as defined by the United States Census Bureau.

description: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA). WIC benefits include nutritious supplemental foods; nutrition education; counseling, including breastfeeding promotion and support; and referrals to health care, social service, and other community providers for pregnant, breastfeeding, and postpartum women, infants, and children up to the age of 5 years. 1 For women and their unborn children, WIC seeks to improve fetal development and reduce the incidence of low birth weight, short gestation, and anemia through intervention during the prenatal period. For infants and children, WIC seeks to provide nutritious foods during critical times of growth and development in an effort to prevent health problems and to improve the health status of these children. The reports, including PC2012, contain information on a census of WIC participants in April of the reporting year.; abstract: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA). WIC benefits include nutritious supplemental foods; nutrition education; counseling, including breastfeeding promotion and support; and referrals to health care, social service, and other community providers for pregnant, breastfeeding, and postpartum women, infants, and children up to the age of 5 years. 1 For women and their unborn children, WIC seeks to improve fetal development and reduce the incidence of low birth weight, short gestation, and anemia through intervention during the prenatal period. For infants and children, WIC seeks to provide nutritious foods during critical times of growth and development in an effort to prevent health problems and to improve the health status of these children. The reports, including PC2012, contain information on a census of WIC participants in April of the reporting year.

{"definition": "The monthly average percentage of the population who received at least one WIC Program (Special Supplemental Nutrition Program for Women, Infants, and Children) food instrument or food during the report month or were breastfed by a participating mother. Participation data are 12-month averages.", "availableYears": "2009-2014", "name": "WIC participants (change % pop), 2009-14*", "units": "Percentage points", "shortName": "PCH_WIC_09_14", "geographicLevel": "State", "dataSources": "Tabulations by USDA Food and Nutrition Service (FNS), published December 6, 2013 in Child Nutrition Tables. Population data are from the U.S. Census Bureau, Population Estimates."}

© PCH_WIC_09_14

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

The Current Population Survey Food Security Supplement (CPS-FSS) is the source of national and State-level statistics on food insecurity used in USDA's annual reports on household food security. The CPS is a monthly labor force survey of about 50,000 households conducted by the Census Bureau for the Bureau of Labor Statistics. Once each year, after answering the labor force questions, the same households are asked a series of questions (the Food Security Supplement) about food security, food expenditures, and use of food and nutrition assistance programs. Food security data have been collected by the CPS-FSS each year since 1995. Four data sets that complement those available from the Census Bureau are available for download on the ERS website. These are available as ASCII uncompressed or zipped files. The purpose and appropriate use of these additional data files are described below: 1) CPS 1995 Revised Food Security Status data--This file provides household food security scores and food security status categories that are consistent with procedures and variable naming conventions introduced in 1996. This includes the "common screen" variables to facilitate comparisons of prevalence rates across years. This file must be matched to the 1995 CPS Food Security Supplement public-use data file. 2) CPS 1998 Children's and 30-day Food Security data--Subsequent to the release of the April 1999 CPS-FSS public-use data file, USDA developed two additional food security scales to describe aspects of food security conditions in interviewed households not captured by the 12-month household food security scale. This file provides three food security variables (categorical, raw score, and scale score) for each of these scales along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS April 1998 data file. 3) CPS 1999 Children's and 30-day Food Security data--Subsequent to the release of the April 1999 CPS-FSS public-use data file, USDA developed two additional food security scales to describe aspects of food security conditions in interviewed households not captured by the 12-month household food security scale. This file provides three food security variables (categorical, raw score, and scale score) for each of these scales along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS April 1999 data file. 4) CPS 2000 30-day Food Security data--Subsequent to the release of the September 2000 CPS-FSS public-use data file, USDA developed a revised 30-day CPS Food Security Scale. This file provides three food security variables (categorical, raw score, and scale score) for the 30-day scale along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS September 2000 data file. Food security is measured at the household level in three categories: food secure, low food security and very low food security. Each category is measured by a total count and as a percent of the total population. Categories and measurements are broken down further based on the following demographic characteristics: household composition, race/ethnicity, metro/nonmetro area of residence, and geographic region. The food security scale includes questions about households and their ability to purchase enough food and balanced meals, questions about adult meals and their size, frequency skipped, weight lost, days gone without eating, questions about children meals, including diversity, balanced meals, size of meals, skipped meals and hunger. Questions are also asked about the use of public assistance and supplemental food assistance. The food security scale is 18 items that measure insecurity. A score of 0-2 means a house is food secure, from 3-7 indicates low food security, and 8-18 means very low food security. The scale and the data also report the frequency with which each item is experienced. Data are available as .dat files which may be processed in statistical software or through the United State Census Bureau's DataFerret http://dataferrett.census.gov/. Data from 2010 onwards is available below and online. Data from 1995-2009 must be accessed through DataFerrett. DataFerrett is a data analysis and extraction tool to customize federal, state, and local data to suit your requirements. Through DataFerrett, the user can develop an unlimited array of customized spreadsheets that are as versatile and complex as your usage demands then turn those spreadsheets into graphs and maps without any additional software. Resources in this dataset:Resource Title: December 2014 Food Security CPS Supplement. File Name: dec14pub.zipResource Title: December 2013 Food Security CPS Supplement. File Name: dec13pub.zipResource Title: December 2012 Food Security CPS Supplement. File Name: dec12pub.zipResource Title: December 2011 Food Security CPS Supplement. File Name: dec11pub.zipResource Title: December 2010 Food Security CPS Supplement. File Name: dec10pub.zip

{"definition": "The total dollar amount of WIC Program (Special Supplemental Nutrition Program for Women, Infants, and Children) benefits redeemed through WIC-authorized stores in a county divided by the total county population. Redemptions are set to -9999 when data are not available or when there are fewer than 4 WIC-authorized stores in a county.", "availableYears": "2008", "name": "WIC redemptions per capita, 2008", "units": "Dollars/capita", "shortName": "PC_WIC_REDEMP08", "geographicLevel": "County", "dataSources": "Redemption data are from USDA Food and Nutrition Service, Supplemental Food Programs Division, Program Analysis and Monitoring Branch. Population data are from the U.S. Census Bureau, Population Estimates."}

© PC_WIC_REDEMP08

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

{"definition": "Percent change in the total dollar amount of WIC Program (Special Supplemental Nutrition Program for Women, Infants, and Children) redemptions in a county per capita. Percent change indicators are calculated as [((Year 2 - Year 1) / Year 1) * 100]. For indicators where Year 1 has a value of zero, the percent change value is set to -9999 to denote no value.", "availableYears": "2008-2012", "name": "WIC redemptions per capita (% change), 2008-12", "units": "% change ", "shortName": "PCH_PC_WIC_REDEMP_08_12", "geographicLevel": "County", "dataSources": "Redemption data are from USDA Food and Nutrition Service, Supplemental Food Programs Division, Program Analysis and Monitoring Branch. Population data are from the U.S. Census Bureau, Population Estimates."}

© PCH_PC_WIC_REDEMP_08_12

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

This data contains the same information as TDH Vaccine County Age Groups Census (https://www.chattadata.org/dataset/TDH-Vaccine-County-Age-Groups-Census/4giv-dvmp/), but 85+ categories have been aggregated to match census age groups.

Vaccine County Age Group Census file from TDH website: https://www.tn.gov/health/cedep/ncov/data/downloadable-datasets.html

This census tract geography dataset includes selected indicators (2012-2016 5-Year Averages) pertaining to population, age, race/ethnicity, language, housing, poverty/income, education, disability, health insurance, employment, and age*race*gender groups. This dataset is assembled annually from the U.S. Census American Community Survey American Factfinder website and is maintained by the Colorado Department of Public Health and Environment.

These data contain selected census tract level demographic indicators (estimates) from the 2015-2019 American Community Survey representing the percent of the non-institutionalized civilian population (Age 5+) with a disability.

Selected estimates from the US Census American Community Survey Estimates for 2019-2023, for all Counties in Colorado

This data set contains Wisconsin COVID-19 data by census tract boundary. Data is updated at 2:00PM CDT daily.Detailed data descriptions can be found within the COVID-19 Public Use Data Definitions document.All data are laboratory-confirmed cases of COVID-19 that we freeze once a day to verify and ensure that we are reporting accurate information. These numbers are the official state numbers, though counties may report their own totals independent of DHS. Combining the DHS and local totals may result in inaccurate totals.Data included in these tables are subject to change. As individual cases are investigated by public health, there may be corrections to the status and details of cases that result in changes to this information.Deaths must be reported by health care providers, medical examiners/coroners, and recorded by local health departments in order to be counted.Starting on March 30, 2020, the number of people with negative test results was changed to include only Wisconsin residents. The number of people with negative test results includes only Wisconsin residents who had their results reported electronically to DHS. As a result, this number underestimates the total number of Wisconsin residents with negative test results."-999" values represent fewer than 5 cases, including 0 cases.For more information on the COVID-19 outbreak please visit https://www.dhs.wisconsin.gov/outbreaks/index.htm.

Extract from Census Population Estimate source for county and state level geographies in Virginia that can be used as population denominator to calculate a variety of rates. Counts are segmented by demographic characteristics such as sex, race, ethnicity, and age.

This dataset is updated on an annual frequency, typically by the end of summer, with data added/updated for the previous calendar year. Data Source: https://www2.census.gov/programs-surveys/popest/datasets/

{"definition": "Percent change in the total number of WIC Program (Special Supplemental Nutrition Program for Women, Infants, and Children) stores in a county per 1,000 population. Percent change indicators are calculated as [((Year 2 - Year 1) / Year 1) * 100]. For indicators where Year 1 has a value of zero, the percent change value is set to -9999 to denote no value.", "availableYears": "2008-2012", "name": "WIC-authorized stores/1,000 pop (% change), 2008-12", "units": "% change ", "shortName": "PCH_WICSPTH_08_12", "geographicLevel": "County", "dataSources": "Store data are from USDA Food and Nutrition Service, Supplemental Food Programs Division, Program Analysis and Monitoring Branch. Population data are from the U.S. Census Bureau, Population Estimates."}

© PCH_WICSPTH_08_12

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

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). Households experiencing food insecurity are defined as those with low food security or very low food security in the last 12 months. Food insecurity is assessed by a scaled variable created from a series of five questions.Food insecurity, or the inability to reliably afford or access sufficient quantities of healthy food, affects hundreds of thousands of low-income households in Los Angeles County. Increasing enrollment in food assistance programs, such as the Supplemental Nutrition Assistance Program (known as CalFresh in California) or the Special Supplemental Nutrition Program for Women, Infants, and Children (better known as WIC) is an important measure that cities and communities can take to combat food insecurity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

This census tract geography dataset contains eight selected 2011-2015 health outcome rates calculated at the census tract geography for all of the census tracts in Colorado: (Asthma Hospitalizations, Diabetes Hospitalizations, Heart Disease Mortality, Influenza Hospitalizations, Low Weight Birth, Motor Vehicle Accident Mortality, Suicide Mortality, and Teen Fertility). The rates contained in this dataset represent 2011-2015 5-Year Averages and include the 95% confidence interval for each census tract rate as well as the Colorado state average. Published rates that have large confidence intervals should be interpreted with caution. This dataset is assembled and maintained annually by the Colorado Department of Public Health and Environment.

{"definition": "The number of stores in a county that are authorized to accept WIC Program (Special Supplemental Nutrition Program for Women, Infants, and Children) benefits per 1,000 population.", "availableYears": "2012", "name": "WIC-authorized stores/1,000 pop, 2012", "units": "# per 1,000 pop", "shortName": "WICSPTH12", "geographicLevel": "County", "dataSources": "Store data are from USDA Food and Nutrition Service, Supplemental Food Programs Division, Program Analysis and Monitoring Branch. Population data are from the U.S. Census Bureau, Population Estimates."}

© WICSPTH12

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

These data contain selected census tract level demographic indicators (estimates) from the 2015-2019 American Community Survey representing the percent of the population (for all persons) with annual income below the federal poverty level.