Open Government Spending Records

This dataset provides granular records of government spending across departments, including transaction details, vendor information, spending categories, and approval statuses. It enables transparency, accountability, and in-depth analysis of public sector expenditures for policy makers, researchers, and citizens.

  • last updated 21 Aug 2025
  • by GoMask
The brief that made it

Policy analysis and budget allocation optimization

Sample rows

preview · 8 of 200 rows · all 18 columns
spending_idstringspending_categorystringamountfloataddress_countrystringdepartment_idstringdepartment_namestringspending_datedatecurrencystringvendor_idstringvendor_namestringproject_codestringfiscal_yearintegerapproval_statusstringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringdescriptionstring
SPD-000001infrastructure4560000.5USFIN101Ministry of Finance2023-03-15USDVEN-4521AGlobal InfraWorks LtdPRJ-INF2023-0012023approved1543 Main BlvdChicagoIL60616Payment for expansion of highway network
SPD-000002grants31500blankHEA202Department of Health2021-06-30GBPblankblankPRJ-GR2021-0112021approvedblankblankblankblankCommunity health initiative grant
SPD-000003equipment1200500.75JPDEF303Ministry of Defense2024-01-18JPYVEN-8830CNipponTech DefensePRJ-EQ2024-0062024approved2-15 Sakura StTokyoTYO100-0001Purchase of surveillance drones
SPD-000004procurement850000AUAGR404Ministry of Agriculture2023-08-22AUDVEN-2120BGreenFields SuppliesPRJ-PR2023-0042023approved21 King StSydneyNSW2000Bulk procurement of farm machinery
SPD-000005grants42000blankEDU505Department of Education2022-09-05USDblankblankPRJ-ED2022-0192022pendingblankblankblankblankGrant for educational technology pilot
SPD-000006infrastructure20500000DETRA606Department of Transport2024-04-07EURVEN-6239FEuroConstruct GmbHPRJ-INF2024-0022024approvedBahnstr 55BerlinBE10115Railway construction phase II
SPD-000007services1200USSCI707Ministry of Science and Technology2023-11-29USDVEN-9923DTechPro Analyticsblank2023approved88 Innovation AveSan FranciscoCA94107Data analysis for lab research
SPD-000008equipment980000CAENV808Department of Environment2022-05-10CADVEN-3160ENorthern EcoMachinery IncPRJ-EQ2022-0092022approved544 Maple RdTorontoONM5V 2T6Acquisition of air quality monitoring stations

What the 200 rows show

from the 200-row sample

Infrastructure (spending category) stands out: mean amount is 36,539,878, against 1,787,356 for the rest.

  • 89,000median amount
  • 3approval statuses
  • 11currencies
  • 16department names
  • 35departments
Mean amount by spending_category200 rows
020M40M460.8kproc…17 ro…74,324sala…23 ro…36.5Minfr…30 ro…54,636gran…20 ro…555.6kserv…29 ro…6.9Mequi…40 ro…1,737other41 ro…
amount200 rows, in bands of 25M
0951901892033200010125M250Mamount →

Median 89,000, from 0.0 to 234,534,568.

address_country136 rows with a value · 64 left blank
  1. US79
  2. CA9
  3. DE8
  4. BR7
  5. CH6
  6. AU5
  7. CN5
  8. JP4
  9. NL3
  10. BE2
18 columns by typefrom the column list below
  • string 15
  • integer 1
  • float 1
  • date 1

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 15 columns
spending_idstringUnique identifier for each spending recorduniqueSPD-000001
department_idstringUnique identifier for the government department responsible for the spendingFIN101
department_namestringFull name of the government departmentMinistry of Finance
currencystringISO 4217 currency code for the transaction (e.g., USD, EUR, GBP)11 currenciesUSD
spending_categorystringCategory of spending (e.g., procurement, salaries, infrastructure, grants)7 valuesinfrastructure
vendor_idstringUnique identifier for the vendor or recipient of the payment (if applicable)optionalVEN-4521A
vendor_namestringName of the vendor or recipient of the payment (if applicable)optionalGlobal InfraWorks Ltd
descriptionstringDetailed description of the spending transactionPayroll for field nurse
project_codestringCode or identifier for the project or initiative associated with the spending (if applicable)optionalPRJ-INF2023-001
approval_statusstringStatus of the spending approval (e.g., approved, pending, rejected)approved · pending · rejectedapproved
address_streetstringStreet address of the vendor or recipient (if applicable)optional1543 Main Blvd
address_citystringCity of the vendor or recipient (if applicable)optionalChicago
address_statestringState or region of the vendor or recipient (if applicable)optionalIL
address_postal_codestringPostal code of the vendor or recipient (if applicable)optional60616
address_countrystringCountry of the vendor or recipient (if applicable)optionalUS
Numbers 2 columns
amountfloatTotal amount spent in the transaction, in local currency0 or more4560000.5
fiscal_yearintegerFiscal year in which the spending occurred1,900 or more2023
Dates and times 1 column
spending_datedateDate when the spending occurred or was recorded2023-03-15

Use it for

  • median amount89,000200 rowsmean amount by spendi…460.8kproc…74.3ksala…36.5Minfr…54.6kgran…

    A government dashboard

    Amount by spending_category and a breakdown of address_country. Excel, Power BI or Tableau.

  • Why do the 30 infrastructure rows have a mean amount of 36,539,878?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable spendings with department_id, department_name and spending_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 18 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows18 columns
Yours1,000 rows18 columnsaddress_street: UK only

blueprint · open-government-spending-records

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Transactions classified by department
  • Include only finalized expenditures
  • Exclude confidential payments
  • Standardize currency formats
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
open-government-spending-records

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