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
597879
- 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: 16 Meghalaya
File: 16 Meghalaya
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 49971 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
1 | 1702 | ![]() | |
10 | 4 | ![]() | |
100 | 4 | ![]() | |
102 | 8 | ![]() | |
103 | 7 | ![]() | |
104 | 51 | ![]() | |
105 | 14 | ![]() | |
106 | 14 | ![]() | |
109 | 2 | ![]() | |
11 | 192 | ![]() | |
111 | 11 | ![]() | |
112 | 2 | ![]() | |
113 | 2 | ![]() | |
115 | 33 | ![]() | |
116 | 1441 | ![]() | |
117 | 1 | ![]() | |
118 | 5484 | ![]() | |
119 | 3 | ![]() | |
12 | 87 | ![]() | |
120 | 620 | ![]() | |
121 | 84 | ![]() | |
122 | 4073 | ![]() | |
123 | 1 | ![]() | |
124 | 77 | ![]() | |
125 | 491 | ![]() | |
126 | 375 | ![]() | |
127 | 1779 | ![]() | |
128 | 926 | ![]() | |
129 | 1 | ![]() | |
13 | 428 | ![]() | |
130 | 102 | ![]() | |
131 | 347 | ![]() | |
18 | 142 | ![]() | |
2 | 6 | ![]() | |
20 | 784 | ![]() | |
21 | 122 | ![]() | |
22 | 257 | ![]() | |
23 | 27 | ![]() | |
25 | 21 | ![]() | |
26 | 163 | ![]() | |
28 | 7 | ![]() | |
29 | 5 | ![]() | |
32 | 47 | ![]() | |
33 | 1 | ![]() | |
34 | 5 | ![]() | |
35 | 5 | ![]() | |
4 | 118 | ![]() | |
43 | 94 | ![]() | |
44 | 91 | ![]() | |
45 | 808 | ![]() | |
46 | 2 | ![]() | |
47 | 75 | ![]() | |
48 | 47 | ![]() | |
49 | 11 | ![]() | |
5 | 61 | ![]() | |
50 | 173 | ![]() | |
51 | 3 | ![]() | |
52 | 59 | ![]() | |
55 | 62 | ![]() | |
56 | 3 | ![]() | |
58 | 298 | ![]() | |
59 | 1 | ![]() | |
6 | 26 | ![]() | |
60 | 47 | ![]() | |
61 | 41 | ![]() | |
62 | 211 | ![]() | |
63 | 143 | ![]() | |
64 | 8 | ![]() | |
66 | 14 | ![]() | |
68 | 508 | ![]() | |
69 | 727 | ![]() | |
7 | 35 | ![]() | |
70 | 82 | ![]() | |
72 | 32 | ![]() | |
73 | 48 | ![]() | |
74 | 358 | ![]() | |
75 | 588 | ![]() | |
76 | 15 | ![]() | |
77 | 74 | ![]() | |
78 | 87 | ![]() | |
79 | 11234 | ![]() | |
8 | 6 | ![]() | |
80 | 1755 | ![]() | |
81 | 1061 | ![]() | |
82 | 3201 | ![]() | |
83 | 4867 | ![]() | |
84 | 454 | ![]() | |
86 | 183 | ![]() | |
87 | 397 | ![]() | |
88 | 696 | ![]() | |
9 | 25 | ![]() | |
90 | 2 | ![]() | |
92 | 2 | ![]() | |
94 | 3 | ![]() | |
95 | 24 | ![]() | |
96 | 762 | ![]() | |
97 | 214 | ![]() | |
98 | 146 | ![]() | |
99 | 31 | ![]() |
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.