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: The raw data series typically do not extend the whole length
of US history. Check out charts if you want full-length 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:
A group of functionally related spending data series
An individual spending data series
You can also remove individual data series that you dont 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.
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.You can remove a data series
by selecting out in the dropdown for each data series.
Year
GDP
(E24) Current Operations - Local Fire Protection
(F24) Construction - Local Fire Protection
(G24) Other Capital Outlay - Local Fire Protection
(K24) Equipment Only - Local Fire Protection (Discontinued 2005)
(SFR) Local fire protection
1902
24.1
0
0
0
0
40
1903
25.9
0
0
0
0
42
1904
25.7
0
0
0
0
45
1905
28.8
0
0
0
0
48
1906
31
0
0
0
0
51
1907
33.9
0
0
0
0
54
1908
30.1
0
0
0
0
57
1909
32.2
0
0
0
0
60
1910
33.4
0
0
0
0
64
1911
34.3
0
0
0
0
68
1912
37.4
0
0
0
0
72
1913
39.1
0
0
0
0
76
1914
36.5
0
0
0
0
82
1915
38.7
0
0
0
0
89
1916
49.6
0
0
0
0
97
1917
59.7
0
0
0
0
105
1918
75.8
0
0
0
0
114
1919
78.3
0
0
0
0
124
1920
88.4
0
0
0
0
134
1921
73.6
0
0
0
0
146
1922
73.4
0
0
0
0
158
1923
85.4
0
0
0
0
166
1924
86.9
0
0
0
0
175
1925
90.6
0
0
0
0
184
1926
96.9
0
0
0
0
193
1927
95.5
0
0
0
0
203
1928
97.4
0
0
0
0
204
1929
103.6
0
0
0
0
206
1930
91.2
0
0
0
0
207
1931
76.5
0
0
0
0
209
1932
58.7
0
0
0
0
210
1933
56.4
0
0
0
0
200
1934
66
0
0
0
0
189
1935
73.3
0
0
0
0
197
1936
83.8
0
0
0
0
205
1937
91.9
0
0
0
0
218
1938
86.1
0
0
0
0
231
1939
92.2
0
0
0
0
233
1940
101.4
0
0
0
0
235
1941
126.7
0
0
0
0
236
1942
161.9
0
0
0
0
236
1943
198.6
0
0
0
0
244
1944
219.8
0
0
0
0
251
1945
223
0
0
0
0
273
1946
222.2
0
0
0
0
294
1947
244.1
0
0
0
0
350
1948
269.1
0
0
0
0
406
1949
267.2
0
0
0
0
447
1950
293.7
0
0
0
0
488
1951
339.3
0
0
0
0
537
1952
358.3
0
0
0
0
586
1953
379.3
0
0
0
0
598
1954
380.4
0
0
0
0
653
1955
414.7
0
0
0
0
694
1956
437.4
0
0
0
0
737
1957
461.1
0
0
0
0
810
1958
467.2
0
0
0
0
873
1959
506.6
0
0
0
0
914
1960
526.4
0
0
0
0
995
1961
544.8
0
0
0
0
1087
1962
585.7
0
0
0
0
1124
1963
617.8
0
0
0
0
1161
1964
663.6
0
0
0
0
1222
1965
719.1
0
0
0
0
1306
1966
787.7
0
0
0
0
1376
1967
832.4
0
0
0
0
1499
1968
909.8
0
0
0
0
1623
1969
984.4
0
0
0
0
1793
1970
1038.3
0
0
0
0
2024
1971
1126.8
0
0
0
0
2303
1972
1237.9
0
0
0
0
2577
1973
1382.3
0
0
0
0
2770
1974
1499.5
0
0
0
0
3037
1975
1637.7
0
0
0
0
3522
1976
1824.6
0
0
0
0
3898
1977
2030.1
0
0
0
0
4412
1978
2293.8
0
0
0
0
4802
1979
2562.2
0
0
0
0
5147
1980
2788.1
0
0
0
0
5718
1981
3126.8
0
0
0
0
6336
1982
3253.2
0
0
0
0
7026
1983
3534.6
0
0
0
0
7582
1984
3930.9
0
0
0
0
8202
1985
4217.5
0
0
0
0
8917
1986
4460.1
0
0
0
0
9587
1987
4736.4
0
0
0
0
10910
1988
5100.4
0
0
0
0
11753
1989
5482.1
0
0
0
0
12469
1990
5800.5
0
0
0
0
13186
1991
5992.1
0
0
0
0
13796
1992
6342.3
13735800
417645
597165
119954
0
1993
6667.4
14183500
366211
582971
97473
0
1994
7085.2
15212400
318319
592126
94888
0
1995
7414.7
15916800
306802
785925
98912
0
1996
7838.5
16491700
367018
8506
102698
0
1997
8332.4
17804000
633673
969543
160735
0
1998
8793.5
18692500
550477
1025930
131880
0
1999
9353.5
19835600
488368
938165
113021
0
2000
9951.5
21135600
653143
1313240
114926
0
2001
10286.2
23127400
729069
1113610
109327
0
2002
10642.3
23992300
757643
1247700
153386
0
2003
11142.1
25535300
802282
1516470
133910
0
2004
11867.8
26270000
958853
1101020
91818
0
2005
12638.4
29137900
997025
1303740
0
0
2006
13398.9
31766200
1023810
1376610
0
0
2007
14077.6
33877000
1285310
1673760
0
0
2008
14441.4
36128100
1478110
1924820
0
0
2009
14258.2
38528800
1699830
2213540
0
0
2010
14623.9
41089000
1954800
2545570
0
0
2011
15299
43762300
2256280
2919460
0
0
2012
16203.3
46658100
2594720
3357380
0
0
2013
17182.2
49745500
2983930
3860990
0
0
2014
18192.6
53037200
3431520
4440140
0
0
2015
19190.4
56546700
3946250
5106160
0
0
Headline
Now Updated with Federal Budget FY11 Numbers
usgovernmentspending.com is now updated with the numbers from the Federal Budget for FY 2011. This includes:
Actual spending and revenue for FY 2009
Updated spending and revenue for FY 2010
Budgeted spending and revenue for FY 2011 thru FY 2014
Updated GDP forecast through 2014
Update Debt forecast through 2014
Note: usgovernmentspending.com always shows total spending,
including federal, state, and local.
Three dynamic and converging systems functioning as one: a democratic polity, an economy based on markets
and incentives, and a moral-cultural system which is plural and, in the largest sense, liberal.
Michael Novak, The Spirit of Democratic Capitalism
We have met with families in which for weeks together, not an article of sustenance but potatoes had been used; yet for every child the hard-earned sum was provided to send them to school.
E. G. West, Education and the State
The Union publishes an exact return of the amount of its taxes; I can get copies of the budgets of the four and twenty component states; but who can tell me what the citizens spend in the administration of county and township? Alexis de Tocqueville, Democracy in America
In 1911... at least nine million of the 12 million covered by national insurance were already members of voluntary sick pay schemes. A similar proportion were also eligible for medical care.
Green, Reinventing Civil Society