costinflation/iced-coffee-and-cold-brew-prices-raw-dataset-2026
60,942 raw U.S. iced coffee and cold brew price observations across 12 ZIP markets and 29 days. Iced Coffee & Cold Brew Prices Raw Dataset (2026) Analyze 60,942 unaggregated product-level listed retail prices for iced coffee, cold brew, and liquid coffee concentrates 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.… See the full description on the dataset page: https://huggingface.co/datasets/costinflation/iced-coffee-and-cold-brew-prices-raw-dataset-2026.
60,942 raw U.S. iced coffee and cold brew price observations across 12 ZIP markets and 29 days.
Iced Coffee & Cold Brew Prices Raw Dataset (2026)
Analyze 60,942 unaggregated product-level listed retail prices for iced coffee, cold brew, and liquid coffee concentrates 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 9.3× the P10. Across compatible rows, the 64 fluid ounces-equivalent price ranged from a P10 of $10.70 to a P90 of $99.87, a 9.3× 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. It is not a sale, order, demand, inventory, market-share, or consumer record. Distinct offers may share a title, ZIP, and date; exact duplicate public rows are removed.
Comparable-price method
The fixed comparison target is 64 fluid ounces. Compatible liquid volumes normalize to 64 fluid ounces. The scope includes ready-to-drink iced and cold-brew beverages plus liquid concentrates; no dilution or prepared-yield adjustment is applied. Original package fields remain available for audit.
Columns
Project ideas
- Compare listed liquid-volume price distributions
Quick start with Pandas
import pandas as pd
df = pd.read_csv(
"costinflation-iced-coffee-and-cold-brew-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 0 byte-identical input repeats.
- Scope review excluded 41 definite out-of-scope or unsafe titles representing 1,790 input rows.
- Product titles are descriptive text, not stable public product identifiers.
- ZIP labels are selected markets, not citywide or national estimates.
- Availability and title wording can change unmatched aggregates.
- 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). Iced Coffee & Cold Brew Prices Raw Dataset (2026). CC0 1.0 Universal.
Resources
Released by CostInflation Team.