Value |
Category |
-99 |
Don't know |
0 |
Did not pay |
2 |
|
10 |
|
12 |
|
30 |
|
99 |
|
3000 |
|
4000 |
|
4500 |
|
5000 |
|
5500 |
|
6000 |
|
7000 |
|
8000 |
|
9000 |
|
10000 |
|
11000 |
|
11500 |
|
12000 |
|
13000 |
|
14000 |
|
15000 |
|
16000 |
|
17000 |
|
18000 |
|
19000 |
|
20000 |
|
21000 |
|
24000 |
|
25000 |
|
26000 |
|
27000 |
|
29000 |
|
30000 |
|
31000 |
|
32000 |
|
33000 |
|
34000 |
|
35000 |
|
36000 |
|
38000 |
|
40000 |
|
41000 |
|
42000 |
|
45000 |
|
48000 |
|
50000 |
|
55000 |
|
60000 |
|
64000 |
|
65000 |
|
66000 |
|
67000 |
|
70000 |
|
75000 |
|
80000 |
|
90000 |
|
100000 |
|
101000 |
|
120000 |
|
130000 |
|
135000 |
|
150000 |
|
160000 |
|
165000 |
|
170000 |
|
200000 |
|
250000 |
|
270000 |
|
300000 |
|
350000 |
|
400000 |
|
450000 |
|
500000 |
|
3000000 |
|
4000000 |
|
4500000 |
|
15000000 |
|
20000000 |
|
Sysmiss |
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.