costinflation/ground-coffee-prices-raw-dataset-2026
134,333 raw U.S. ground coffee price observations across 12 ZIP markets and 29 days. Ground Coffee Prices Raw Dataset (2026) Analyze 134,333 unaggregated product-level listed retail prices for ground coffee across 12 U.S. ZIP markets from July 13 through August 10, 2026. The single analysis-ready CSV preserves titles, dates, geography, package quantities, listed prices, and a source-neutral comparable-price field. What “raw” means here: unaggregated product-level… See the full description on the dataset page: https://huggingface.co/datasets/costinflation/ground-coffee-prices-raw-dataset-2026.
134,333 raw U.S. ground coffee price observations across 12 ZIP markets and 29 days.
Ground Coffee Prices Raw Dataset (2026)
Analyze 134,333 unaggregated product-level listed retail prices for ground coffee across 12 U.S. ZIP markets from July 13 through August 10, 2026. The single analysis-ready CSV preserves titles, dates, geography, package quantities, listed prices, and a source-neutral comparable-price field.
What “raw” means here: unaggregated product-level observations after scope and safety filtering. The file includes derived normalization fields; it is not untouched acquisition data.
Dataset at a glance
A result worth investigating
The P90 comparable price was 2.9× the P10. Across compatible rows, the 12 ounces-equivalent price ranged from a P10 of $7.26 to a P90 of $20.93, a 2.9× spread. This is a distribution description, not a matched-product quality or value claim.
What one row represents
One row is one quality-filtered product-title, ZIP-market, date, package-quantity, and listed-price observation. These are listed retail prices—not sales, orders, revenue, demand, inventory, market share, or consumer behavior. Multiple distinct offers can share a title, ZIP, and date; exact duplicate public rows have been removed.
Comparable-price method
The fixed comparison target is 12 ounces. Compatible mass units are converted to a 12-ounce basis; unresolved quantities remain blank. The original package price and quantity remain in every row, so users can audit or replace the provided comparison.
Columns
Project ideas
- Compare 12-ounce-equivalent prices by package size
- Track matched product titles through time
- Model ZIP-market price parity
- Study quantity extraction for mass-based packages
- Run EDA in Python, R, SQL, Excel, Tableau, or Power BI
- Benchmark missing-value handling without discarding listed-price observations
Quick start with Pandas
import pandas as pd
df = pd.read_csv(
"costinflation-ground-coffee-retail-prices-raw-2026-07-13-to-2026-08-10.csv",
dtype={"geography_id": "string"},
)
comparable = df.dropna(subset=["normalized_price_amount"]).copy()
print(comparable["normalized_price_amount"].describe())Quality and limitations
- All 348 expected date × ZIP-market combinations are present.
- Exact duplicate public rows: 0. The preparation pass removed 26 byte-identical input repeats.
- Scope review excluded 0 definite out-of-scope or unsafe titles representing 0 input rows.
- Product titles are descriptive text, not stable public product identifiers.
- ZIP labels describe selected markets, not citywide estimates; the panel is not nationally representative.
- Availability and title wording can change unmatched aggregates through assortment change.
- Shipping, tax, redeemed promotions, purchases, and product performance are outside the dataset.
License
Released under CC0 1.0 Universal for unrestricted reuse. Attribution is not required, but citation helps others find the release.
CostInflation Team. (2026). Ground Coffee Prices Raw Dataset (2026). CC0 1.0 Universal.
Resources
- Ground coffee price history
- The matching Hugging Face or Kaggle release will be linked after both destinations are verified.
Released by CostInflation Team.