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Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.
Start with these files — they give you everything you need to understand and access the dataset.
- 1. Fetch datapackage.json to inspect schema and resources
- 2. Download data resources listed in datapackage.json
- 3. Read README.md for full context
Data Previews
annual-consumer-price-index-percent-change-1974-2016-csv
Schema
| name | type | description | constraints |
|---|---|---|---|
| Consumer Price Index item | string | The specific food item to which the consumer price index is calculated | { "maxLength": 29 } |
| Year | integer | Year | |
| Percent change | number | The annual percentage price changes in the retail prices of food items for the year. | { "level": "Ratio" } |
Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
annual-consumer-price-index-percent-change-1974-2016-csv | 29.4 kB | 28 days ago | annual-consumer-price-index-percent-change-1974-2016-csv |
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 1 | 29.4 kB | csv | 28 days ago | John Snow Labs |
The Consumer Price Index (CPI) is the most publicized and widely used measure of the general level of prices in the U.S. economy. The CPI is a composite measure of the level of average prices paid by urban consumers for a defined market basket of goods and services, including food. Changes in the CPI are widely used to measure inflation (changes in the general price level) in the U.S. economy.
Data
The data is sourced from USDA GOV website.
Preparation
python scripts/process.py