US Federal Contract Awards & Momentum by Agency
US federal contract spending by agency, monthly, in one panel: the award dollar value and its 3-month momentum (growth) - the government-demand signal, per department. Consolidates the awards level and its momentum into one file.
- Source
- derived
- Licence
- Redistributable open data
- Updates
- Monthly
- Data through
- 2026-07-01
- 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
- Award value ($) + 3-month award momentum (%), per federal agency, monthly
- The government-spending demand signal; from USAspending.gov (public domain)
- Consolidates us-federal-contract-awards + us-federal-contract-momentum
- Source: USAspending.gov (U.S. Treasury) - derived
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Federal agency | 100.0% | 20 |
| ts | timestamp (UTC) | Month | 100.0% | 223 |
| metric | str | Award value ($) / Award momentum (3mo %) | 100.0% | 2 |
| value | float | Dollars or percent | 100.0% | 8,098 |
| unit | str | unit | 100.0% | 2 |
| res_min | int | Native resolution (monthly) | 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: derived (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-federal-contracts_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 20 zones
Agency for International Development · Department of Agriculture · Department of Commerce · Department of Defense · Department of Education · Department of Energy · Department of Health and Human Services · Department of Homeland Security · Department of Housing and Urban Development · Department of Justice · Department of Labor · Department of State · Department of Transportation · Department of Veterans Affairs · Department of the Interior · Department of the Treasury · Environmental Protection Agency · General Services Administration · National Aeronautics and Space Administration · Social Security Administration
Related datasets
Commitments of Traders (COT) Historical Archive
Weekly CFTC Commitments of Traders positioning across every futures market - open interest, commercial (hedger) and non-commercial (speculator) long/short, in contracts. The raw CFTC drops are messy flat files; this is one clean, continuous, per-market Parquet.
COT Extreme Crowding Alerts Database
Every instance where speculators reached an extreme in a futures market - net-positioning z-score beyond ±2 vs its 3-year baseline. The crowded-trade reversal watchlist, pre-filtered from the full COT history so you don't have to compute it.
CFTC Disaggregated COT
The CFTC Disaggregated Commitments of Traders report - the trader-category breakdown professionals actually buy COT for. Weekly long and short positions for Producer/Merchant (hedgers), Swap Dealers, Managed Money (CTAs/funds) and Other Reportables across every physical-commodity futures market (energy, metals, grains, softs), plus total open interest, in contracts. The raw CFTC drops are messy flat files; this is one clean, continuous, per-market Parquet back to the report's 2006 inception.