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Missouri Average Social Security Income per Household County Rank

Based on ACS 2008-2012 data*

A total of 115 results found. Show Results on Map.

RankAverage Social Security Income per Household ▼County / Population
1.$19,283Camden, MO / 43,731
2.$18,935Platte, MO / 89,567
3.$18,706Saint Charles, MO / 360,695
4.$18,291Saint Louis, MO / 999,147
5.$18,167Ralls, MO / 10,198
6.$18,135Stone, MO / 31,968
7.$18,062Clinton, MO / 20,687
8.$17,875Clay, MO / 222,048
9.$17,580Lincoln, MO / 52,637
10.$17,447Warren, MO / 32,440
11.$17,375Cass, MO / 99,394
12.$17,355Jefferson, MO / 218,628
13.$17,312Benton, MO / 19,021
14.$17,181Ray, MO / 23,422
15.$16,992Lafayette, MO / 33,278
16.$16,915Christian, MO / 77,474
17.$16,915Andrew, MO / 17,205
18.$16,808Franklin, MO / 101,440
19.$16,704Sainte Genevieve, MO / 18,066
20.$16,676Daviess, MO / 8,341
21.$16,642Jackson, MO / 672,784
22.$16,577Callaway, MO / 44,157
23.$16,553Cape Girardeau, MO / 75,690
24.$16,544Johnson, MO / 52,964
25.$16,476Grundy, MO / 10,256
26.$16,461Osage, MO / 13,857
27.$16,445Barry, MO / 35,680
28.$16,439Greene, MO / 275,671
29.$16,432Monroe, MO / 8,876
30.$16,373Cole, MO / 75,813
31.$16,364Cooper, MO / 17,542
32.$16,312Worth, MO / 2,146
33.$16,231Buchanan, MO / 89,162
34.$16,151Audrain, MO / 25,617
35.$16,071Boone, MO / 163,266
36.$15,993Polk, MO / 31,035
37.$15,978Dekalb, MO / 12,878
38.$15,958Pike, MO / 18,574
39.$15,948Hickory, MO / 9,554
40.$15,947Newton, MO / 58,314
41.$15,939Cedar, MO / 13,941
42.$15,908Marion, MO / 28,703
43.$15,875Livingston, MO / 15,068
44.$15,869Morgan, MO / 20,479
45.$15,866Atchison, MO / 5,664
46.$15,866Montgomery, MO / 12,181
47.$15,835Henry, MO / 22,234
48.$15,815Dade, MO / 7,811
49.$15,765Pettis, MO / 42,044
50.$15,737Dallas, MO / 16,825
51.$15,722Ozark, MO / 9,672
52.$15,710Jasper, MO / 116,493
53.$15,686Barton, MO / 12,428
54.$15,682Moniteau, MO / 15,587
55.$15,662Holt, MO / 4,840
56.$15,658Randolph, MO / 25,388
57.$15,634Shannon, MO / 8,407
58.$15,618Webster, MO / 36,183
59.$15,617Caldwell, MO / 9,302
60.$15,606Taney, MO / 51,596
61.$15,603Madison, MO / 12,334
62.$15,580Chariton, MO / 7,759
63.$15,573Macon, MO / 15,532
64.$15,515Bates, MO / 17,003
65.$15,494Saint Francois, MO / 65,246
66.$15,459Wayne, MO / 13,444
67.$15,459Lawrence, MO / 38,559
68.$15,431Linn, MO / 12,668
69.$15,337Lewis, MO / 10,203
70.$15,337Gasconade, MO / 15,160
71.$15,308Adair, MO / 25,542
72.$15,308New Madrid, MO / 18,780
73.$15,306Reynolds, MO / 6,682
74.$15,277Vernon, MO / 20,958
75.$15,259Scott, MO / 39,192
76.$15,253Saline, MO / 23,232
77.$15,235Crawford, MO / 24,753
78.$15,212Texas, MO / 25,840
79.$15,167Maries, MO / 9,140
80.$15,153Saint Clair, MO / 9,693
81.$15,136Mercer, MO / 3,763
82.$15,111Clark, MO / 7,082
83.$15,095Perry, MO / 18,986
84.$15,077Miller, MO / 24,822
85.$15,064Douglas, MO / 13,690
86.$15,027Nodaway, MO / 23,305
87.$15,017Putnam, MO / 4,976
88.$14,982Gentry, MO / 6,773
89.$14,982Iron, MO / 10,563
90.$14,977Washington, MO / 25,120
91.$14,957Wright, MO / 18,732
92.$14,914Dent, MO / 15,595
93.$14,883Laclede, MO / 35,507
94.$14,825Howell, MO / 40,330
95.$14,675Shelby, MO / 6,328
96.$14,603Bollinger, MO / 12,389
97.$14,573Carroll, MO / 9,279
98.$14,403Ripley, MO / 14,070
99.$14,396Mcdonald, MO / 22,970
100.$14,370Butler, MO / 42,792
101.$14,299Scotland, MO / 4,843
102.$14,216Stoddard, MO / 29,902
103.$14,172Howard, MO / 10,160
104.$14,127Phelps, MO / 44,825
105.$14,049Oregon, MO / 10,885
106.$14,037Schuyler, MO / 4,397
107.$14,037Sullivan, MO / 6,667
108.$13,985Mississippi, MO / 14,231
109.$13,794Dunklin, MO / 31,970
110.$13,692Harrison, MO / 8,901
111.$13,691Carter, MO / 6,225
112.$13,669Knox, MO / 4,111
113.$13,649Saint Louis City, MO / 318,527
114.$13,414Pemiscot, MO / 18,288
115.$13,038Pulaski, MO / 51,620

Please note that we only rank locations with 'Average Social Security Income per Household' data. The rank above might not be a complete list. Locations without 'Average Social Security Income per Household' data are not listed.

*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.


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