US Weekly Natural Gas Storage (Lower
The weekly EIA natural-gas working-storage print, cleaned to one tidy Parquet - the Lower-48 total PLUS all five EIA storage regions (East, Midwest, Mountain, Pacific, South Central), in billion cubic feet. The single most-watched US gas fundamental, broken out regionally so you can see where the seasonal inject/withdraw cycle every gas trader and utility models is actually happening.
- Source
- U.S. EIA
- Licence
- Redistributable open data
- Updates
- Weekly
- Data through
- 2026-07-17
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- Weekly Lower-48 working gas in underground storage (Bcf), 2010-present
- National total + 5 EIA regions: East, Midwest, Mountain, Pacific, South Central
- series column selects the region; one row per series × week
- UTC weekly timestamps; clean seasonal inject/withdraw curve
- Source: U.S. Energy Information Administration (public domain)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Always US | 100.0% | 1 |
| ts | timestamp (UTC) | Report week | 100.0% | 864 |
| series | str | Natural gas in storage (national) or a regional storage series (East / Midwest / Mountain / Pacific / South Central) | 100.0% | 6 |
| bcf | float | Working gas in storage, billion cubic feet | 100.0% | 1,882 |
| unit | str | Unit | 100.0% | 1 |
| res_min | int | Native resolution (weekly = 10080) | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: U.S. EIA (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-natural-gas-storage_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 1 zones
US
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