Free Sneaker Resale Data (CSV)
What every tracked model and 9,973 individual shoes resell for right now, monthly resale prices and sales counts for 44 popular sneaker models and 9 brands, plus our same-shoe "do they hold value?" comparison, built from the GOAT and StockX sales behind this site. Rebuilt every day; this copy is from October 12, 2026.
License: CC BY 4.0: free to use, share and adapt, including commercially, as long as you credit "SneakerPulse (sneakers-pulse.com)" and link to the source page. Suggested credit:
Source: SneakerPulse (sneakers-pulse.com)
What sneakers resell for right now
10,017 rows (44 models, 9,973 shoes with 20+ sales), last 90 days to 2026-10-12 · 1,680 KB
Download sneakerpulse_current_prices.csv
Columns
| level | model (all colorways of a model family) or shoe (one marketplace listing) |
| name | Model family or the listing's name |
| style_code | Manufacturer style code, letters and digits only (shoes) |
| marketplace | goat, stockx, or goat+stockx for models |
| window_days | Days of completed sales covered, ending on as_of |
| median_price_usd | Median completed sale price, USD, all sizes |
| p25_usd / p75_usd | Half of sales fell between these two prices |
| sales | Completed sales in the window |
| as_of | Date this file was rebuilt |
| url | SneakerPulse page with sizes, history and methodology for this row |
Monthly resale prices for 44 sneaker models
998 rows, 44 models, 2024-11 to 2026-09 · 37 KB
Download sneakerpulse_model_monthly_prices.csv
Columns
| model | Model family, e.g. Air Jordan 4 (all colorways and sizes) |
| month | Calendar month, UTC (YYYY-MM) |
| median_price_usd | Median sale price that month, USD |
| mean_price_usd | Mean sale price that month, USD (pulled up by rare pairs) |
| sales_recorded | Resale sales we recorded that month on GOAT and StockX |
Monthly resale activity for 9 brands
207 rows, 2024-11 to 2026-09 · 8 KB
Download sneakerpulse_brand_monthly.csv
Columns
| month | Calendar month, UTC |
| brand | Brand (Yeezy counted separately from adidas) |
| sales_recorded | Resale sales we recorded that month |
| revenue_usd | Sum of those sale prices, USD |
| mean_price_usd | revenue_usd / sales_recorded |
Do they hold value? Same shoe vs a year ago
52 rows (9 brands, 43 models); last 90 days to Oct 12, 2026 vs the same dates a year earlier · 3 KB
Download sneakerpulse_same_shoe_12m.csv
Columns
| level | brand or model |
| name | Brand or model family |
| shoes_compared | Products with 5+ sales in both windows |
| median_change_pct | Median of each shoe's price change vs its own price a year earlier |
| ci95_low_pct / ci95_high_pct | Bootstrap 95% interval for that median |
| shoes_rose / shoes_fell | Shoes whose median went up / down |
| bh_q_value | Binomial test of rose vs fell against 50/50, Benjamini-Hochberg adjusted within brands and within models; below 0.05 counts as a clear change |
Read this before you use it
- These are sales we recorded, not the whole market. Counts rise when our feed covers more products, so do not read month-over-month or year-over-year changes in
sales_recordedas changes in demand. - StockX gap, May 22 to July 3, 2026: our data provider has no StockX sales for most best sellers in that window, so counts for May to July 2026 are low. Prices from the sales that do exist are fine.
- Monthly medians mix colorways. A month can look pricier because pricier colorways sold more. The same-shoe file controls for this; the monthly files do not.
- Apparel, trading cards and collectibles are excluded from the brand and model figures where the product category says so.
The same files are on Kaggle, and the headline numbers are summarised on sneaker resale statistics. Want a cut we do not publish (one shoe, sizes, a custom date range)? Most of our analysis starts from the free tools and blog; how the data is collected is on How it's built.