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Download Raw Spending Data Series 1792-2031

You can download any of the raw data series used to compile the government spending data in usgovernmentspending.com. You select the data series you want and then copy-paste the tab delimited data from a textbox on this page into your spreadsheet.

Warning: Be careful about using raw data. The raw data series are not “curated,” meaning that you cannot be sure if the data series applies for a specific year and a specific function. A data series typically does not extend the whole length of US history. Check out multiyear download if you want full-length curated data series.

Download Instructions:

Prepare a suite of data for download by making a selection from one of the dropdown menus below. You can select:

  1. A group of functionally related spending data series
  2. An individual spending data series

You can also remove individual data series that you don’t want.

Select Functional Data Series Group: Select a group of data series to download (you can add individual data series later):

Add Individual Data Series: Select Spending Data Series to add to download (you can add more later):

Change Data Units: You can download data in raw format (i.e., in the units used in the database for each item, or in $ billion, $ million, or percent of GDP.

raw
$ billion
$ million
percent GDP

Select Fiscal Year: You can select the budget for which you want to download estimated federal spending.

Copy and Paste: When you have created the dataset you want then just copy the tab-delimited text in the textbox below (click cursor in text box, then press ctrl-A then press ctrl-C) and paste it into your spreadsheet.

Here is a formatted version of the data you have selected.

YearGDP - $ billion(152) International security assistance - raw
1962603.9221958
1963637.452185
1964684.461830
1965742.2891599
1966813.4141590
1967859.9591530
1968940.6511051
19691017.621102
19701073.31094
19711164.851367
19721279.111446
19731425.381427
19741545.241824
19751684.92535
19761873.412683
19772081.833075
19782351.63926
19792627.333655
19802857.314763
19813207.045095
19823343.795416
19833634.046613
19844037.617924
19854338.989391
19864579.6310499
19874855.227106
19885236.444500
19895641.581467
19905963.148652
19916158.139823
19926520.337490
19936858.567639
19947287.246642
19957639.755252
19968073.124565
19978577.554632
19989062.825135
19999631.175531
2000102516387
200110581.96560
200210929.17907
200311456.48620
200412217.28369
200513039.27895
200613815.67811
200714474.27982
200814769.99480
200914478.16247
20101504911363
201115599.712042
20121625411464
201316880.79954
201417608.111381
20151829512907
201618804.911305
201719612.112240
201820656.511417
20192154011227
202021375.312080
202123725.69152
202226054.626104
202327811.529260
20242929822517
202530767.115516
202630552.714949
202731815.616701
202833129.213755
202934510.812655
203039285.311902
203141253.911716

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Gross State Product for 2025

The US Bureau of Economic Analysis (BEA) released its Gross State Product (GSP) data for 2025 on April 9, 2026.

Usgovernmentspending.com has updated its individual state GSPs for 2025 for each state using the projected national GDP numbers from Table 10.1 in the Historical Tables for the Federal FY2027 Budget and the historical GDP data series from the BEA as a baseline.

Process:

  1. Click on link.
  2. Click on "Interactive Data" link
  3. Click on "Interactive Tables: GDP by State" link
  4. Click on "Annual Gross Domestic Product (GDP) by State"
  5. Click on "Summary Tables for GDP, personal income, and related data."
  6. Click on "SASUMMARY"
  7. Area: Select "All Areas"
  8. Statistic: Select "Real GDP..." and "Gross domestic product (GDP)"
  9. Click on Next Step button
  10. Time Period: Select "All Years"
  11. Click on Next Step button
  12. Click on Download button
  13. Select CSV 

Spend Links

us numbersus budgetcustom chartdeficit/gdpspend/gdpdebt/gdpus gdpus real gdpstate gdpbreakdownfederalstatelocal202420252026californiatexas

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usgovernmentspending.com was designed and executed by:

Christopher Chantrill.

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presented by Christopher Chantrill

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