India - Third Economic Census 1990
Reference ID | IDDI-IND-MOSPI-3-EC-1990 |
Year | 0 |
Country | India |
Producer(s) | Central Statistical Organisation(CSO) - Ministry of Statistics and Programme Implementation, Government of India (GOI) |
Collection(s) |
Created on
Apr 24, 2018
Last modified
Mar 29, 2019
Page views
546802
- 02 Andhra Pradesh
- 03 Arunachal Pradesh
- 04 Assam
- 05 Bihar
- 06 Goa
- 07 Gujarat
- 08 Haryana
- 09 Himachal Pradesh
- 11 Karnataka
- 12 Kerala
- 13 Madhya Pradesh
- 14 Maharashtra
- 15 Manipur
- 16 Meghalaya
- 17 Mizoram
- 18 Nagaland
- 19 Orissa
- 20 Punjab
- 21 Rajasthan
- 22 Sikkim
- 23 Tamil Nadu
- 24 Tripura
- 25 Utter Pradesh
- 26 West Bengal
- 27 Andaman & Nic
obar - 28 Chandigarh
- 29 Dadar & Nagar
Haveli - 30 Daman & Diu
- 31 Delhi
- 33 Pondicherry
Nature of Economic Activity code
(N_E_ACT_CODE)
File: 07 Gujarat
File: 07 Gujarat
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 1311762 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
1 | 357566 | 27.3% | |
10 | 20 | 0.0% | |
100 | 257 | 0.0% | |
101 | 38 | 0.0% | |
102 | 323 | 0.0% | |
103 | 1382 | 0.1% | |
104 | 2490 | 0.2% | |
105 | 342 | 0.0% | |
106 | 2316 | 0.2% | |
107 | 108 | 0.0% | |
108 | 950 | 0.1% | |
109 | 155 | 0.0% | |
11 | 722 | 0.1% | |
110 | 128 | 0.0% | |
111 | 154 | 0.0% | |
112 | 57 | 0.0% | |
113 | 436 | 0.0% | |
114 | 3 | 0.0% | |
115 | 2978 | 0.2% | |
116 | 22766 | 1.7% | |
117 | 270 | 0.0% | |
118 | 38722 | 3.0% | |
119 | 458 | 0.0% | |
12 | 8268 | 0.6% | |
120 | 17890 | 1.4% | |
121 | 1076 | 0.1% | |
122 | 31728 | 2.4% | |
123 | 730 | 0.1% | |
124 | 2531 | 0.2% | |
125 | 601 | 0.0% | |
126 | 4143 | 0.3% | |
127 | 79091 | 6.0% | |
128 | 32476 | 2.5% | |
129 | 34 | 0.0% | |
13 | 12 | 0.0% | |
130 | 1206 | 0.1% | |
131 | 102 | 0.0% | |
14 | 797 | 0.1% | |
15 | 12 | 0.0% | |
16 | 9 | 0.0% | |
17 | 1 | 0.0% | |
18 | 2089 | 0.2% | |
19 | 153 | 0.0% | |
2 | 3274 | 0.2% | |
20 | 38182 | 2.9% | |
21 | 3948 | 0.3% | |
22 | 986 | 0.1% | |
23 | 2497 | 0.2% | |
25 | 4334 | 0.3% | |
26 | 4501 | 0.3% | |
27 | 1864 | 0.1% | |
28 | 6213 | 0.5% | |
29 | 173 | 0.0% | |
3 | 113 | 0.0% | |
30 | 18 | 0.0% | |
31 | 266 | 0.0% | |
32 | 76 | 0.0% | |
33 | 11184 | 0.9% | |
34 | 293 | 0.0% | |
35 | 100 | 0.0% | |
37 | 28 | 0.0% | |
38 | 5 | 0.0% | |
39 | 20 | 0.0% | |
4 | 30 | 0.0% | |
40 | 2764 | 0.2% | |
41 | 18 | 0.0% | |
42 | 56 | 0.0% | |
43 | 6992 | 0.5% | |
44 | 246 | 0.0% | |
45 | 29433 | 2.2% | |
46 | 676 | 0.1% | |
47 | 2851 | 0.2% | |
48 | 4522 | 0.3% | |
49 | 3115 | 0.2% | |
5 | 2325 | 0.2% | |
50 | 2662 | 0.2% | |
51 | 75 | 0.0% | |
52 | 4079 | 0.3% | |
53 | 81 | 0.0% | |
54 | 594 | 0.0% | |
55 | 10637 | 0.8% | |
56 | 2844 | 0.2% | |
57 | 10 | 0.0% | |
58 | 17557 | 1.3% | |
59 | 3663 | 0.3% | |
6 | 11 | 0.0% | |
60 | 720 | 0.1% | |
61 | 513 | 0.0% | |
62 | 45523 | 3.5% | |
63 | 5407 | 0.4% | |
64 | 168 | 0.0% | |
65 | 42 | 0.0% | |
66 | 2489 | 0.2% | |
67 | 51 | 0.0% | |
68 | 8187 | 0.6% | |
69 | 194 | 0.0% | |
7 | 20 | 0.0% | |
70 | 211 | 0.0% | |
71 | 3 | 0.0% | |
72 | 35 | 0.0% | |
73 | 3107 | 0.2% | |
74 | 22122 | 1.7% | |
75 | 2247 | 0.2% | |
76 | 1434 | 0.1% | |
77 | 5385 | 0.4% | |
78 | 6787 | 0.5% | |
79 | 194094 | 14.8% | |
8 | 178 | 0.0% | |
80 | 33401 | 2.5% | |
81 | 32368 | 2.5% | |
82 | 71087 | 5.4% | |
83 | 18621 | 1.4% | |
84 | 4034 | 0.3% | |
85 | 566 | 0.0% | |
86 | 601 | 0.0% | |
87 | 8763 | 0.7% | |
88 | 19477 | 1.5% | |
89 | 7 | 0.0% | |
9 | 9425 | 0.7% | |
90 | 324 | 0.0% | |
91 | 91 | 0.0% | |
92 | 8 | 0.0% | |
93 | 1222 | 0.1% | |
94 | 98 | 0.0% | |
95 | 1150 | 0.1% | |
96 | 12138 | 0.9% | |
97 | 5128 | 0.4% | |
98 | 3933 | 0.3% | |
99 | 1497 | 0.1% |
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.