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
(603) Unemployment compensation
(B22) Federal Intergovernmental - Employment Security Administration
(E22) Current Operations - Social Insurance Administration
(F22) Construction - Social Insurance Administration
(FUN) Unemployment compensation/insurance
(G22) Other Capital Outlay - Social Insurance Administration
(K22) Equipment Only - Social Insurance Administration
(Y06) Unemployment Compensation - Extended and Special Payments
(Y14) Workers Compensation - Benefit Payments
1902
24.1
0
0
0
0
0
0
0
0
0
0
0
0
1903
25.9
0
0
0
0
0
0
0
0
0
0
0
0
1904
25.7
0
0
0
0
0
0
0
0
0
0
0
0
1905
28.8
0
0
0
0
0
0
0
0
0
0
0
0
1906
31
0
0
0
0
0
0
0
0
0
0
0
0
1907
33.9
0
0
0
0
0
0
0
0
0
0
0
0
1908
30.1
0
0
0
0
0
0
0
0
0
0
0
0
1909
32.2
0
0
0
0
0
0
0
0
0
0
0
0
1910
33.4
0
0
0
0
0
0
0
0
0
0
0
0
1911
34.3
0
0
0
0
0
0
0
0
0
0
0
0
1912
37.4
0
0
0
0
0
0
0
0
0
0
0
0
1913
39.1
0
0
0
0
0
0
0
0
0
0
0
0
1914
36.5
0
0
0
0
0
0
0
0
0
0
0
0
1915
38.7
0
0
0
0
0
0
0
0
0
0
0
0
1916
49.6
0
0
0
0
0
0
0
0
0
0
0
0
1917
59.7
0
0
0
0
0
0
0
0
0
0
0
0
1918
75.8
0
0
0
0
0
0
0
0
0
0
0
0
1919
78.3
0
0
0
0
0
0
0
0
0
0
0
0
1920
88.4
0
0
0
0
0
0
0
0
0
0
0
0
1921
73.6
0
0
0
0
0
0
0
0
0
0
0
0
1922
73.4
0
0
0
0
0
0
0
0
0
0
0
0
1923
85.4
0
0
0
0
0
0
0
0
0
0
0
0
1924
86.9
0
0
0
0
0
0
0
0
0
0
0
0
1925
90.6
0
0
0
0
0
0
0
0
0
0
0
0
1926
96.9
0
0
0
0
0
0
0
0
0
0
0
0
1927
95.5
0
0
0
0
0
0
0
0
0
0
0
0
1928
97.4
0
0
0
0
0
0
0
0
0
0
0
0
1929
103.6
0
0
0
0
0
0
0
0
0
0
0
0
1930
91.2
0
0
0
0
0
0
0
0
0
0
0
0
1931
76.5
0
0
0
0
0
0
0
0
0
0
0
0
1932
58.7
0
0
0
0
0
0
0
0
0
0
0
0
1933
56.4
0
0
0
0
0
0
0
0
0
0
0
0
1934
66
0
0
0
0
1
0
0
0
1
0
0
0
1935
73.3
0
0
0
0
0
0
0
12
2
0
0
0
1936
83.8
0
0
0
0
0
0
0
23
3
0
0
0
1937
91.9
0
0
0
0
0
0
0
101
24
0
0
0
1938
86.1
0
0
0
0
46
0
0
202
46
0
0
0
1939
92.2
0
0
0
0
23
0
0
348
54
0
0
0
1940
101.4
0
0
0
0
46
0
0
885
62
0
0
0
1941
126.7
0
0
0
0
61
0
0
1014
67
0
0
0
1942
161.9
0
0
0
0
81
0
0
377
72
0
0
0
1943
198.6
0
0
0
0
93
0
0
1276
54
0
0
0
1944
219.8
0
0
0
0
37
0
0
1409
36
0
0
0
1945
223
0
0
0
0
113
0
0
1287
55
0
0
0
1946
222.2
0
0
0
0
117
0
0
968
75
0
0
0
1947
244.1
0
0
0
0
124
0
0
1186
116
0
0
0
1948
269.1
0
0
0
0
131
0
0
1206
158
0
0
0
1949
267.2
0
0
0
0
283
0
0
1304
186
0
0
0
1950
293.7
0
0
0
0
10
0
0
1180
215
0
0
0
1951
339.3
0
0
0
0
227
0
0
1411
176
0
0
0
1952
358.3
0
0
0
0
10
0
0
1602
132
0
0
0
1953
379.3
0
0
0
0
294
0
0
1556
196
0
0
0
1954
380.4
0
0
0
0
338
0
0
1470
198
0
0
0
1955
414.7
0
0
0
0
16
0
0
1329
187
0
0
0
1956
437.4
0
0
0
0
31
0
0
1277
224
0
0
0
1957
461.1
0
0
0
0
378
0
0
1725
245
0
0
0
1958
467.2
0
0
0
0
510
0
0
1717
288
0
0
0
1959
506.6
0
0
0
0
546
0
0
1833
298
0
0
0
1960
526.4
0
0
0
0
600
0
0
2323
325
0
0
0
1961
544.8
0
0
0
0
622
0
0
3463
370
0
0
0
1962
585.7
3809
0
0
0
3337
0
0
2820
461
0
0
0
1963
617.8
3344
0
0
0
4112
0
0
3181
342
0
0
0
1964
663.6
3178
0
0
0
3997
0
0
3260
415
0
0
0
1965
719.1
2577
0
0
0
3803
0
0
2008
413
0
0
0
1966
787.7
2215
0
0
0
3755
0
0
1893
486
0
0
0
1967
832.4
2263
0
0
0
3575
0
0
3285
564
0
0
0
1968
909.8
2527
0
0
0
3346
0
0
2972
592
0
0
0
1969
984.4
2577
0
0
0
3328
0
0
3049
616
0
0
0
1970
1038.3
3359
0
0
0
3464
0
0
2723
664
0
0
0
1971
1126.8
6166
0
0
0
3674
0
0
3096
721
0
0
0
1972
1237.9
7072
0
0
0
4357
0
0
3601
1152
0
0
0
1973
1382.3
5354
0
0
0
6051
0
0
4081
1281
0
0
0
1974
1499.5
6065
0
0
0
6837
0
0
4703
1299
0
0
0
1975
1637.7
13459
0
0
0
6771
0
0
12311
1525
0
0
0
1976
1824.6
19453
0
0
0
8054
0
0
15183
1664
0
0
0
1977
2030.1
15315
0
0
0
11312
0
0
15296
1833
0
0
0
1978
2293.8
11847
0
0
0
13850
0
0
10740
1887
0
0
0
1979
2562.2
10813
0
0
0
15387
0
0
12941
1935
0
0
0
1980
2788.1
18051
0
0
0
15336
0
0
12070
2058
0
0
0
1981
3126.8
19656
0
0
0
15763
0
0
17932
23667
0
0
0
1982
3253.2
23728
0
0
0
16600
0
0
18126
2352
0
0
0
1983
3534.6
31464
0
0
0
18799
0
0
21582
2541
0
0
0
1984
3930.9
18421
0
0
0
25138
0
0
16759
2616
0
0
0
1985
4217.5
17475
0
0
0
25758
0
0
17640
2605
0
0
0
1986
4460.1
17753
0
0
0
24098
0
0
18287
2801
0
0
0
1987
4736.4
17080
0
0
0
25575
0
0
15248
2805
0
0
0
1988
5100.4
15271
0
0
0
24584
0
0
13093
2907
0
0
0
1989
5482.1
15616
0
0
0
22011
0
0
14796
0
0
0
0
1990
5800.5
18889
0
0
0
21635
0
0
18441
0
0
0
0
1991
5992.1
27084
0
0
0
20922
0
0
18025
0
0
0
0
1992
6342.3
39466
3761550
3556900
37083
23410
122791
122513
0
0
24405000
8482320
7844380
1993
6667.4
37802
3973140
3765880
45775
26556
133369
131808
0
0
21392100
14017000
8874320
1994
7085.2
28729
4038540
3933050
38506
28004
99250
98088
0
0
20555000
8068640
8851520
1995
7414.7
23638
3987080
3809190
40926
28878
95901
95308
0
0
35064500
139452
8356090
1996
7838.5
24898
3800580
3815040
37188
28584
78382
78228
0
0
29463700
45657
8974390
1997
8332.4
22888
3670760
3885480
33001
28202
90557
90392
0
0
26983600
174674
8919870
1998
8793.5
22070
3688650
3991050
33126
27484
109010
108805
0
0
17762700
16239
8146940
1999
9353.5
23631
3955960
3986710
33598
26480
110039
109765
0
0
19209800
13306
8168080
2000
9951.5
23012
4036070
4063110
26938
27640
87620
87535
0
0
18638000
10513
8317020
2001
10286.2
30242
3657130
4271370
27951
27812
59511
59507
0
0
22974400
11854
8741050
2002
10642.3
53267
4186490
4972770
41375
27619
67989
66609
0
0
37663000
4532680
10156800
2003
11142.1
57054
5046310
5166870
34281
33366
65896
56143
0
0
39718500
11828100
11224000
2004
11867.8
44994
4881910
4607960
12321
39453
58881
53870
0
0
36036600
7241020
12299800
2005
12638.4
35435
4426180
4271410
17339
42002
50991
50121
0
0
29813300
35608
12592500
2006
13398.9
33814
4756960
4555870
14509
43420
43385
42792
0
0
28068800
28558
12129600
2007
14077.6
35107
3882020
3933520
9015
41091
38839
38290
0
0
28933600
17
12027000
2008
14441.4
45340
3968280
4039240
4429
39527
45119
0
0
0
35567300
713
12052500
2009
14258.2
122537
4056460
4147800
4429
37889
51887
0
0
0
40902400
820
12078100
2010
14623.9
194270
4146600
4259280
4429
51496
59670
0
0
0
47037800
943
12103800
2011
15299
106644
4238740
4373760
4429
60146
68620
0
0
0
54093500
1084
12129600
2012
16203.3
81660
4332930
4491320
4429
67432
78912
0
0
0
62207500
1246
12155500
2013
17182.2
76888
4429210
4612040
4429
73148
90748
0
0
0
71538600
1432
12181500
2014
18192.6
72705
4527630
4736000
4429
77142
104359
0
0
0
82269400
1646
12207600
2015
19190.4
68817
4628240
4863290
4429
78682
120011
0
0
0
94609800
1892
12233800
Headline
Now Updated with 2008 State and Local Numbers
usgovernmentspending.com is now updated with the
latest numbers for State and Local Spending data
from the US Census Bureau. The latest values are for FY 2008. State and local spending and revenue after
2008 are "guesstimated" by projecting the change between 2007 and 2008 to subsequent years.
Note: usgovernmentspending.com always shows total spending,
including federal, state, and local.
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
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
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
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