Unique ID: 2015097
| Division: | Office of Information and Regulatory Affairs |
|---|---|
| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Cost: FREE
U.S. household food purchases and retail food sales
Using retail sales data for household food purchase information
Data purchased from IRI are used in food economics research, seven years of U.S. coverage, with location and date. Retail sales data total over 40 billion records.
Project Objective:
Scientific / research
Project Outcomes:
Journal articles, research reports, summary data.
Publications Comments:
Research reports and journal articles.
Statistical Area
Project Sources
| Type Of Institution: | National statistical office |
|---|---|
| Big Data Source: | Scanner data, Health records |
| Region: | North America |
| Country Area: | United States |
| Id Country Regional: | country |
Partnerships
| Data Providers: | Intermediary Big Data provider |
|---|---|
| Other Partners: | Academic institute |
Accessing Data
| Data Access Rights: | Only for this project |
|---|---|
| Intermediary Comments: | Private U.S. company IRI sells the data under a custom agreement. University of Chicago's National Opinion Research Center (NORC) hosts the data and software and provides access to approved research collaborators. |
| Data Access Comments: | Many research projects are under an umbrella agreement regarding appropriate access and disclosure. |
Data Coverage
| Data Coverage: | Only a portion of all data |
|---|---|
| Coverage Geo Pop: | Whole country / high % of market |
| Cost Implication: | Commercial |
| Cost Comments: | Data purchased from private market insights vendor. |
| Coverage Period: | 2008-2014 |
Data Quality
| Quality Framework: | Quality of source/input |
|---|---|
| Quality Aspects Evaluated: | Privacy and Security, Accessibility, Relevance, Institutional/Business Environment, Validity, Accuracy, including selectivity, Coherence, including linkability to other sources |
| Validation Comments: | Summary data are compared to results from other sources and projects, and detail data are compared to other source data. |
| Quality Framework Comments: | The evaluation process includes both quantitative and qualitative components. |
| Data Quality Concerns Comments: | Dozens of checks are run to identify data issues, including gaps, duplicates, outliers, and various anomalies. |
Methodology
| Methods Used: | Traditional statistical methods |
|---|
Technologies
| Technologies: | Column store database, Spreadsheet, Other, Hadoop Clusters |
|---|---|
| Technologies Comments: | SAS, Stata |
Other
| Income Level: | High-income |
|---|---|
| Iso: | US |
| Timeframe To Produce Indicator: | NA |
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