India - Fourth Economic Census 1998
Reference ID | IDDI-IND-MOSPI-4-EC-1998 |
Year | 0 |
Country | India |
Producer(s) | Central Statistical Organisation(CSO) - Ministry of Statistics and Programme Implementation, Government of India (GOI) |
Sponsor(s) | Government of India - GoI - |
Collection(s) |
Created on
Jan 16, 2018
Last modified
Mar 29, 2019
Page views
681769
- 02 Andhra Pradesh
- 03 Arunachal Pradesh
- 04 Assam
- 05 Bihar
- 06 Goa
- 07 Gujarat
- 08 Haryana
- 09 HP
- 10 J&K
- 11 Karnataka
- 12 Kerala
- 13 Madhya Pradesh
- 14 Maharashtra
- 15 Manipur
- 16 Meghalaya
- 17 Mizoram
- 18 Nagaland
- 19 Orissa
- 20 Punjab
- 21 Rajsthan
- 22 Sikkim
- 23 TamilNadu
- 24 Tripura
- 25 UP
- 26 WB
- 27 AN&Island
- 28 Chandigarh
- 29 Dadar & Nagar
Haveli - 30 Daman & Diu
- 31 Delhi
- 32 Lashadweep
- 33 Pondichery
- 34 Jharkhand
- 35 Chhattisgarh
- 36 Uttaranchal
UFS BLOCK
(UFS_BLOCK)
File: 19 Orissa
File: 19 Orissa
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 1449665 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
00 | 1156550 | 79.8% | |
01 | 12685 | 0.9% | |
02 | 12241 | 0.8% | |
03 | 11153 | 0.8% | |
04 | 13781 | 1.0% | |
05 | 12036 | 0.8% | |
06 | 11955 | 0.8% | |
07 | 12815 | 0.9% | |
08 | 11407 | 0.8% | |
09 | 12459 | 0.9% | |
10 | 12049 | 0.8% | |
11 | 12864 | 0.9% | |
12 | 10308 | 0.7% | |
13 | 12039 | 0.8% | |
14 | 12483 | 0.9% | |
15 | 10958 | 0.8% | |
16 | 10601 | 0.7% | |
17 | 9716 | 0.7% | |
18 | 9884 | 0.7% | |
19 | 8881 | 0.6% | |
20 | 9029 | 0.6% | |
21 | 8645 | 0.6% | |
22 | 7110 | 0.5% | |
23 | 6673 | 0.5% | |
24 | 6046 | 0.4% | |
25 | 5630 | 0.4% | |
26 | 4952 | 0.3% | |
27 | 4059 | 0.3% | |
28 | 3937 | 0.3% | |
29 | 3075 | 0.2% | |
30 | 2221 | 0.2% | |
31 | 2711 | 0.2% | |
32 | 2288 | 0.2% | |
33 | 2118 | 0.1% | |
34 | 1499 | 0.1% | |
35 | 726 | 0.1% | |
36 | 409 | 0.0% | |
37 | 781 | 0.1% | |
38 | 290 | 0.0% | |
39 | 356 | 0.0% | |
40 | 62 | 0.0% | |
41 | 30 | 0.0% | |
42 | 17 | 0.0% | |
43 | 44 | 0.0% | |
44 | 91 | 0.0% | |
45 | 1 | 0.0% |
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.