The Everyday Price Index open dataset

Download

The CSV is the whole dataset in one long-format table — one row per chain per price measure, so categories with different price shapes (a gym has an annual fee, a haircut doesn't) sit together without inventing empty columns.

Download full CSV (233 rows) Per-category JSON →

Columns: category, chain_slug, chain, model, measure, low_usd, high_usd, typical_usd, note, unit, observed_date, sources.

What's in it

The observed_date column carries the real per-category observation date, not the build date. Individual chains re-checked between cycles carry their own last_checked field in the JSON.

License and citation

Released under Creative Commons Attribution 4.0. Use it commercially, republish it, chart it, feed it to a model — the only condition is attribution.

Loading it takes one line:

import pandas as pd
df = pd.read_csv("https://everydaypriceindex.com/DATA/everyday_price_index_all.csv")
df.query("category == 'gym'")[["chain", "measure", "low_usd", "high_usd"]]

What makes this different from the price pages you usually find

• Every figure is dated. An undated price is a guess. Ours carry the month they were observed, in the data itself, not just in prose.
• Every figure names its sources. They travel in the sources column, so you can check us.
• Gaps stay gaps. Where a chain genuinely publishes no price — Woof Gang quotes by breed and coat, self-storage operators quote by zip code — the record is band-free and says why. There are no filler numbers anywhere in this dataset, which is the entire reason it is worth citing.
• It gets re-checked. Monthly cycle, and the observation dates move even when the price doesn't, because "verified unchanged" is a finding too.

Full write-up: our methodology →

Found an error, or want a category added?

Corrections are welcome and get folded into the next monthly cycle. If you're using this dataset for research, journalism or a tool, you don't need permission — but we'd like to know, so we can prioritise the categories people actually use.