SDA 4.1.4: Tables
ANES 2016 Time Series
|
May 02, 2024 (Thu 07:51 PM PDT) |
Variables |
Role |
Name |
Label |
Range |
MD |
Dataset |
Row |
v161218 |
PRE: How many in government are corrupt |
1-5 |
|
1 |
Column |
v163001a |
SAMPLE: Sample location FIPS state |
1-56 |
|
1 |
Weight |
v160101 |
Pre-election weight -full sample |
.0895-6.8139 |
|
1 |
|
Frequency Distribution |
Cells contain: -Column percent
|
v163001a |
1 1. Alabama |
2 2. Alaska |
4 4. Arizona |
5 5. Arkansas |
6 6. California |
8 8. Colorado |
9 9. Connecticut |
10 10. Delaware |
11 11. Washington DC |
12 12. Florida |
13 13. Georgia |
15 15. Hawaii |
16 16. Idaho |
17 17. Illinois |
18 18. Indiana |
19 19. Iowa |
20 20. Kansas |
21 21. Kentucky |
22 22. Louisiana |
23 23. Maine |
24 24. Maryland |
25 25. Massachusetts |
26 26. Michigan |
27 27. Minnesota |
28 28. Mississippi |
29 29. Missouri |
30 30. Montana |
31 31. Nebraska |
32 32. Nevada |
33 33. New Hampshire |
34 34. New Jersey |
35 35. New Mexico |
36 36. New York |
37 37. North Carolina |
38 38. North Dakota |
39 39. Ohio |
40 40. Oklahoma |
41 41. Oregon |
42 42. Pennsylvania |
44 44. Rhode Island |
45 45. South Carolina |
46 46. South Dakota |
47 47. Tennessee |
48 48. Texas |
49 49. Utah |
50 50. Vermont |
51 51. Virginia |
53 53. Washington |
54 54. West Virginia |
55 55. Wisconsin |
56 56. Wyoming |
ROW TOTAL |
v161218 |
1: 1. All |
2.6
|
.0
|
.9
|
5.2
|
5.7
|
5.8
|
2.6
|
11.4
|
.0
|
4.9
|
3.9
|
.0
|
.8
|
2.9
|
5.0
|
10.1
|
2.4
|
10.1
|
8.8
|
17.1
|
8.2
|
5.9
|
2.4
|
.0
|
5.3
|
7.1
|
35.1
|
3.0
|
.0
|
3.6
|
.9
|
4.7
|
2.0
|
6.2
|
.0
|
5.1
|
5.4
|
1.9
|
6.4
|
.0
|
7.3
|
18.5
|
3.6
|
2.6
|
.0
|
.0
|
.0
|
3.2
|
7.4
|
2.1
|
.0
|
4.3
|
2: 2. Most |
41.7
|
6.9
|
37.7
|
37.0
|
27.9
|
32.9
|
20.4
|
8.7
|
6.8
|
30.6
|
40.9
|
55.9
|
28.0
|
37.2
|
30.4
|
18.1
|
35.6
|
27.4
|
34.8
|
34.3
|
30.6
|
15.7
|
33.5
|
32.1
|
39.6
|
31.4
|
6.7
|
38.8
|
39.1
|
21.1
|
27.1
|
32.2
|
32.1
|
25.9
|
17.3
|
32.0
|
42.6
|
39.1
|
34.7
|
66.7
|
26.6
|
63.0
|
31.2
|
39.2
|
45.1
|
15.7
|
25.7
|
32.4
|
58.7
|
30.7
|
56.6
|
32.0
|
3: 3. About half |
26.9
|
93.1
|
33.5
|
31.1
|
30.9
|
40.1
|
49.8
|
25.8
|
33.1
|
34.9
|
35.9
|
6.3
|
38.2
|
40.6
|
47.5
|
41.4
|
36.4
|
42.8
|
48.0
|
12.9
|
29.0
|
44.6
|
34.2
|
37.0
|
30.5
|
31.7
|
37.8
|
32.7
|
39.5
|
51.8
|
33.2
|
33.0
|
32.4
|
40.5
|
44.6
|
37.3
|
23.0
|
18.2
|
31.3
|
15.0
|
35.7
|
18.5
|
45.2
|
30.0
|
30.1
|
68.6
|
40.1
|
19.8
|
16.4
|
32.0
|
22.6
|
35.0
|
4: 4. A few |
28.9
|
.0
|
25.3
|
26.7
|
33.7
|
21.2
|
27.2
|
54.2
|
60.1
|
27.4
|
19.4
|
37.8
|
32.9
|
19.4
|
16.4
|
28.1
|
24.7
|
19.7
|
8.5
|
35.7
|
32.2
|
33.2
|
28.8
|
30.4
|
24.6
|
24.1
|
20.4
|
25.5
|
21.4
|
23.6
|
35.7
|
30.1
|
33.5
|
26.3
|
38.1
|
24.6
|
28.9
|
40.9
|
27.1
|
18.3
|
29.1
|
.0
|
20.0
|
27.0
|
24.8
|
15.8
|
32.4
|
42.3
|
17.4
|
32.2
|
20.8
|
27.7
|
5: 5. None |
.0
|
.0
|
2.5
|
.0
|
1.8
|
.0
|
.0
|
.0
|
.0
|
2.2
|
.0
|
.0
|
.0
|
.0
|
.6
|
2.3
|
1.0
|
.0
|
.0
|
.0
|
.0
|
.5
|
1.1
|
.5
|
.0
|
5.7
|
.0
|
.0
|
.0
|
.0
|
3.0
|
.0
|
.0
|
1.1
|
.0
|
1.0
|
.0
|
.0
|
.4
|
.0
|
1.4
|
.0
|
.0
|
1.2
|
.0
|
.0
|
1.7
|
2.2
|
.0
|
3.1
|
.0
|
1.0
|
COL TOTAL |
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
|
|
|
Allocation of cases (unweighted) |
Valid cases |
4,223 |
Cases with invalid codes on row or column variable |
48 |
Total cases |
4,271 |
|
Datasets |
1 |
/html/D3/NES2016 |
2 |
/html/Npubvars/NES2016 |
|