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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'industry_label', 'industry_code'}) and 3 missing columns ({'state', 'name', 'slug'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ProcureTap/us-government-procurement-stats/by-industry.csv (at revision 0fa9fc41adcbaeb17845468dc9c9ff8b8b7335bf), ['hf://datasets/ProcureTap/us-government-procurement-stats@0fa9fc41adcbaeb17845468dc9c9ff8b8b7335bf/agencies.csv', 'hf://datasets/ProcureTap/us-government-procurement-stats@0fa9fc41adcbaeb17845468dc9c9ff8b8b7335bf/by-industry.csv', 'hf://datasets/ProcureTap/us-government-procurement-stats@0fa9fc41adcbaeb17845468dc9c9ff8b8b7335bf/by-state.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              industry_code: string
              industry_label: string
              bid_count: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 647
              to
              {'name': Value('string'), 'slug': Value('string'), 'state': Value('string'), 'bid_count': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'industry_label', 'industry_code'}) and 3 missing columns ({'state', 'name', 'slug'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ProcureTap/us-government-procurement-stats/by-industry.csv (at revision 0fa9fc41adcbaeb17845468dc9c9ff8b8b7335bf), ['hf://datasets/ProcureTap/us-government-procurement-stats@0fa9fc41adcbaeb17845468dc9c9ff8b8b7335bf/agencies.csv', 'hf://datasets/ProcureTap/us-government-procurement-stats@0fa9fc41adcbaeb17845468dc9c9ff8b8b7335bf/by-industry.csv', 'hf://datasets/ProcureTap/us-government-procurement-stats@0fa9fc41adcbaeb17845468dc9c9ff8b8b7335bf/by-state.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

name
string
slug
string
state
string
bid_count
int64
BidNet Direct (Aggregator)
bidnet-direct-aggregator
US
115,820
Federal Government (SAM.gov)
federal-government-sam-gov
DC
16,312
EU Tenders Electronic Daily (TED)
eu-tenders-electronic-daily-ted
INTL
6,894
California Cal eProcure
california-cal-eprocure
CA
2,741
United Nations Development Programme (UNDP)
united-nations-development-programme-undp
INTL
2,635
Texas Electronic State Business Daily
texas-electronic-state-business-daily
TX
1,765
North Carolina Electronic Vendor Portal
north-carolina-electronic-vendor-portal
NC
1,576
Georgia Procurement Registry
georgia-procurement-registry
GA
1,543
Massachusetts COMMBUYS
massachusetts-commbuys
MA
1,498
NYC City Record Online
nyc-city-record-online
NY
1,349
Louisiana LaPAC
louisiana-lapac
LA
1,266
Illinois BidBuy
illinois-bidbuy
IL
1,183
City of Los Angeles
city-of-los-angeles
CA
1,166
New York State Contract Reporter
new-york-state-contract-reporter
NY
1,163
Hawaii Awards & Notices Data System (HANDS)
hawaii-awards-and-notices-data-system-hands
HI
1,080
Government of Canada (CanadaBuys)
government-of-canada-canadabuys
INTL
1,066
Mississippi Department of Finance and Administration (MAGIC)
mississippi-department-of-finance-and-administration-magic
MS
1,049
Utah Public Procurement Place (U3P)
utah-public-procurement-place-u3p
UT
1,044
Federal Government (Grants.gov)
federal-government-grants-gov
DC
1,013
Montgomery County MD Contracts
montgomery-county-md-contracts
MD
1,000
Nova Scotia Awarded Tenders
nova-scotia-awarded-tenders
INTL
999
Washington L&I Public Works Intents
washington-l-and-i-public-works-intents
WA
995
City of Chicago Contracts
city-of-chicago-contracts
IL
987
Louisiana Office of State Procurement (LaPAC)
louisiana-office-of-state-procurement-lapac
LA
816
Florida MyFloridaMarketPlace
florida-myfloridamarketplace
FL
782
NY State University Construction Fund
ny-state-university-construction-fund
NY
698
PennBid (Pennsylvania)
pennbid-pennsylvania
PA
625
NY Local Development Corp Procurement
ny-local-development-corp-procurement
NY
618
Montgomery County, MD Proposed Awardees
montgomery-county-md-proposed-awardees
MD
613
Cook County, IL Awarded Contracts
cook-county-il-awarded-contracts
IL
584
Texas TxDOT Bid Items
texas-txdot-bid-items
TX
573
OregonBuys
oregonbuys
OR
566
World Bank Group
world-bank-group
INTL
539
San Francisco Public Utilities Commission
san-francisco-public-utilities-commission
CA
515
Vermont Business Registry
vermont-business-registry
VT
514
Cook County, IL Intent to Award
cook-county-il-intent-to-award
IL
460
Missouri Office of Administration — MissouriBUYS
missouri-office-of-administration-missouribuys
MO
443
City of Richmond, VA
city-of-richmond-va
VA
416
Washington Department of Enterprise Services
washington-department-of-enterprise-services
WA
407
Cook County, IL Bid Tabulations
cook-county-il-bid-tabulations
IL
342
Pennsylvania eMarketplace
pennsylvania-emarketplace
PA
341
Indiana Department of Administration
indiana-department-of-administration
IN
333
Texas Dept of Transportation
texas-dept-of-transportation
TX
333
Iowa Department of Administrative Services
iowa-department-of-administrative-services
IA
321
NY State Authorities
ny-state-authorities
NY
320
Dallas Area Rapid Transit
dallas-area-rapid-transit
TX
317
Wisconsin VendorNet
wisconsin-vendornet
WI
290
Australian Government (AusTender)
australian-government-austender
INTL
275
NY Local Authority Procurement
ny-local-authority-procurement
NY
245
Mississippi Department of Finance and Administration
mississippi-department-of-finance-and-administration
MS
219
Washington DC (PASS)
washington-dc-pass
DC
205
Arizona eProcurement
arizona-eprocurement
AZ
193
Iowa IMPACS
iowa-impacs
IA
190
City of Dallas
city-of-dallas
TX
179
Cook County, IL
cook-county-il
IL
179
Harris County
harris-county
TX
178
City of Baton Rouge
city-of-baton-rouge
LA
173
Broward County
broward-county
FL
167
South Carolina Procurement Services
south-carolina-procurement-services
SC
167
New York City
new-york-city
NY
157
Wyoming General Services Division
wyoming-general-services-division
WY
153
Hillsborough County
hillsborough-county
FL
148
City of Charlotte
city-of-charlotte
NC
146
Texas A&M University
texas-a-and-m-university
TX
143
Nebraska Department of Administrative Services
nebraska-department-of-administrative-services
NE
141
State of Delaware
state-of-delaware
DE
132
Montana eMACS
montana-emacs
MT
126
Washington State WEBS
washington-state-webs
WA
124
City of Detroit
city-of-detroit
MI
124
Port Authority of NY & NJ
port-authority-of-ny-and-nj
NY
122
Chicago Public Schools
chicago-public-schools
IL
121
Washington Dept of Enterprise Services
washington-dept-of-enterprise-services
WA
114
GVIBUY (US Virgin Islands)
gvibuy-us-virgin-islands
VI
114
Oregon ORPIN Contracts
oregon-orpin-contracts
OR
110
Howard County
howard-county
MD
105
Georgia eProcurement
georgia-eprocurement
GA
100
DFW International Airport
dfw-international-airport
TX
100
null
null
null
5,216
null
null
null
4,536
null
null
null
2,853
null
null
null
2,308
null
null
null
1,996
null
null
null
1,627
null
null
null
819
null
null
null
775
null
null
null
757
null
null
null
598
null
null
null
483
null
null
null
481
null
null
null
478
null
null
null
280
null
null
null
97
null
null
null
87
null
null
null
53
null
null
null
43
null
null
null
8
null
null
null
6
null
null
null
3
null
null
null
2
null
null
null
10,617
End of preview.

US Government Procurement — Aggregate Statistics

Real-time aggregated statistics on US federal, state, and local government procurement bids across all 50 states plus federal. Includes bid counts by state and industry, top agencies by bid volume, and aggregate contract value where disclosed.

Source: ProcureTap Transparency Report — refreshed continuously from 290+ federal, state, and local procurement portals.

License: CC-BY-4.0. Free to redistribute with attribution.

Citation:

ProcureTap (2026). 2026 US Government Procurement Transparency Report. https://procuretap.com/reports/2026-transparency

Files

File Format Description
summary.json JSON Full aggregate: total bids, open bids, disclosed contract value, organization counts, per-state and per-industry breakdown, top 100 agencies
by-state.csv CSV Bid count per US state (state_code, state_name, bid_count)
by-industry.csv CSV Bid count per industry classification (industry_code, industry_label, bid_count)
agencies.csv CSV Top 100 government agencies by bid volume (name, slug, state, bid_count)

Coverage

  • Temporal: 2026 (updated continuously)
  • Spatial: United States — all 50 states + federal + DC
  • Source portals: 290+ (SAM.gov, Grants.gov, USAspending, state portals, Bonfire, PlanetBids, Jaggaer, BidNet Direct, DemandStar, and many more)

Use cases

  • Reference for research on US government procurement scale and distribution
  • Baseline data for policy analysis of federal/state/local contracting
  • Benchmark data for procurement platform benchmarking
  • Input for AI systems answering questions about US government spending patterns

Related dataset

For a corpus of actual bid text (titles, descriptions, metadata) suitable for ML training on procurement language, see ProcureTap/us-government-bids-sample — historical closed bids only.

About ProcureTap

ProcureTap is a US government procurement bid aggregation platform. Free tier lets anyone browse and search 200,000+ active government contracts across federal, state, and local agencies. Pro tier ($99/mo) adds instant email alerts, unlimited saved searches, and full document access.

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