WIC Participant and Program Characteristics 2018
Principal Investigator(s): View help for Principal Investigator(s) US Department of Agriculture; National Agricultural Library
Version: View help for Version V1
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Project Citation:
US Department of Agriculture, and National Agricultural Library. WIC Participant and Program Characteristics 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-27. https://doi.org/10.3886/E250467V1
Project Description
Project Title:
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WIC Participant and Program Characteristics 2018
Summary:
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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.csv
Resource Title: WIC Participant and Program Characteristics 2018 Data.
File Name: wicpc.wicpc2018_public_use.csv
Resource 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 Dataset Codebook.
File Name: PC2018 National Sample File Public Use Codebook updated.docx
Resource 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.
Resource Title: WIC Participant and Program Characteristics 2018 Datasets SAS STATA SPSS.
File Name: wicpc2018_agdatacoomonsupload.zip
Resource 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.
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.csv
Resource Title: WIC Participant and Program Characteristics 2018 Data.
File Name: wicpc.wicpc2018_public_use.csv
Resource 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 Dataset Codebook.
File Name: PC2018 National Sample File Public Use Codebook updated.docx
Resource 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.
Resource Title: WIC Participant and Program Characteristics 2018 Datasets SAS STATA SPSS.
File Name: wicpc2018_agdatacoomonsupload.zip
Resource 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.
Original Distribution URL:
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https://agdatacommons.nal.usda.gov/articles/dataset/WIC_Participant_and_Program_Characteristics_2018/24666135
Scope of Project
Subject Terms:
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USDA;
FNS;
USDA Food and Nutrition Programs;
WIC Special Supplemental Nutrition Program for Women;
Infants;
Nutritional Risks;
Breastfeeding;
WIC Program Demographics;
children
Geographic Coverage:
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United States
Time Period(s):
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4/1/2021 – 4/30/2021
Data Type(s):
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observational data
Collection Notes:
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DOI: 10.15482/USDA.ADC/1522608
Citation: USDA Food and Nutrition Service, Office of Policy Support (2021). WIC Participant and Program Characteristics 2018. USDA FNS Office of Policy Support. https://doi.org/10.15482/USDA.ADC/1522608 (Downloaded 2026-06-26)
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