Value |
Category |
.b |
|
.d |
|
.n |
|
0 |
|
0. |
|
1 |
|
1. |
|
10 |
|
10. |
|
100 |
|
100. |
|
1000 |
|
1000. |
|
10000 |
|
10000. |
|
1000000 |
|
10050 |
|
1040. |
|
105. |
|
1050. |
|
10500. |
|
108 |
|
10800. |
|
110. |
|
1100. |
|
112. |
|
1125 |
|
1125. |
|
1128. |
|
115. |
|
1150. |
|
116. |
|
119. |
|
119950. |
|
12 |
|
12. |
|
120. |
|
1200 |
|
1200. |
|
12000. |
|
120000. |
|
1200000. |
|
125. |
|
1250. |
|
1275. |
|
13. |
|
130. |
|
1300 |
|
1300. |
|
13000. |
|
130500. |
|
134. |
|
135. |
|
1350 |
|
1350. |
|
13500 |
|
137. |
|
14 |
|
14. |
|
140 |
|
140. |
|
1400 |
|
1400. |
|
1408. |
|
144. |
|
1440. |
|
1450. |
|
1455. |
|
1466. |
|
15 |
|
15. |
|
150. |
|
1500 |
|
1500. |
|
15000 |
|
15000. |
|
150000. |
|
15000000. |
|
1530. |
|
1575. |
|
15800. |
|
16 |
|
16. |
|
160. |
|
1600. |
|
16000 |
|
1608000 |
|
1634. |
|
1696. |
|
17. |
|
170. |
|
1700. |
|
17000. |
|
175. |
|
1750 |
|
1750. |
|
180. |
|
1800 |
|
1800. |
|
18000. |
|
1860. |
|
1870. |
|
1885. |
|
192. |
|
19200. |
|
198. |
|
2 |
|
2. |
|
20 |
|
20. |
|
200. |
|
2000 |
|
2000. |
|
20000 |
|
20000. |
|
200000 |
|
200000. |
|
2020. |
|
210. |
|
2100. |
|
21000 |
|
21000. |
|
216. |
|
21600. |
|
22. |
|
220. |
|
2200. |
|
22000. |
|
2225 |
|
225. |
|
2250. |
|
22500. |
|
230. |
|
230000. |
|
240. |
|
2400 |
|
2400. |
|
24000. |
|
2440. |
|
245. |
|
25. |
|
250 |
|
250. |
|
2500. |
|
25000 |
|
25000. |
|
2500000. |
|
2520. |
|
2590. |
|
26. |
|
260. |
|
2600. |
|
26000 |
|
26000. |
|
2700. |
|
275. |
|
28. |
|
280. |
|
2800 |
|
2800. |
|
285. |
|
2850. |
|
288. |
|
2880. |
|
2900. |
|
2928 |
|
3 |
|
3. |
|
30. |
|
300 |
|
300. |
|
3000 |
|
3000. |
|
30000 |
|
30000. |
|
300000. |
|
3000000. |
|
3005. |
|
3100 |
|
315. |
|
32 |
|
32. |
|
320. |
|
3200. |
|
32000. |
|
320000. |
|
33. |
|
330. |
|
3300. |
|
340. |
|
35. |
|
350. |
|
3500 |
|
3500. |
|
35000. |
|
36. |
|
360. |
|
3600 |
|
3600. |
|
36000. |
|
3700 |
|
3750. |
|
378. |
|
384. |
|
3840. |
|
3900. |
|
39720. |
|
4 |
|
4. |
|
40 |
|
40. |
|
400 |
|
400. |
|
4000. |
|
40000 |
|
40000. |
|
400000. |
|
405. |
|
41. |
|
418. |
|
42. |
|
420. |
|
42500. |
|
435. |
|
440. |
|
44000 |
|
44000. |
|
45 |
|
45. |
|
450. |
|
4500 |
|
4500. |
|
455. |
|
456. |
|
4560. |
|
460. |
|
4750. |
|
4751040. |
|
480. |
|
4800. |
|
48000. |
|
5 |
|
5. |
|
50 |
|
50. |
|
500 |
|
500. |
|
5000 |
|
5000. |
|
50000 |
|
50000. |
|
500000. |
|
51. |
|
510. |
|
5100. |
|
520. |
|
5200. |
|
525. |
|
540. |
|
5400. |
|
54000. |
|
55. |
|
550 |
|
550. |
|
5500 |
|
559. |
|
560. |
|
5600. |
|
565. |
|
570. |
|
5700. |
|
575. |
|
5750. |
|
5760. |
|
580. |
|
5800. |
|
585. |
|
595. |
|
6 |
|
6. |
|
60 |
|
60. |
|
600. |
|
6000 |
|
6000. |
|
60000. |
|
6105000 |
|
620. |
|
63. |
|
630. |
|
64. |
|
6400. |
|
64000. |
|
64800. |
|
65 |
|
65. |
|
650 |
|
650. |
|
6500. |
|
675. |
|
6750. |
|
680. |
|
68000. |
|
6960. |
|
7 |
|
7. |
|
70. |
|
700 |
|
700. |
|
7000 |
|
7000. |
|
70000. |
|
71. |
|
720. |
|
7200. |
|
74. |
|
741. |
|
75 |
|
75. |
|
750 |
|
750. |
|
7500. |
|
75000. |
|
77. |
|
770. |
|
780. |
|
78000. |
|
8 |
|
80 |
|
80. |
|
800. |
|
8000. |
|
80000. |
|
820. |
|
837. |
|
840. |
|
8415. |
|
85 |
|
850. |
|
860. |
|
880. |
|
9. |
|
90. |
|
900. |
|
9000. |
|
90000 |
|
90000. |
|
91. |
|
9200. |
|
95. |
|
9500. |
|
960. |
|
975. |
|
97500. |
|
980. |
|
99. |
|
blank |
|
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.