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    Home / Central Data Catalog / IDDI-IND-MOSPI-3-EC-1990 / variable [V864]
central

Third Economic Census 1990

India
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Reference ID
IDDI-IND-MOSPI-3-EC-1990
Producer(s)
Central Statistical Organisation(CSO)
Collections
Economic Census
Metadata
DDI/XML JSON
Created on
Apr 24, 2018
Last modified
Mar 29, 2019
Page views
631366
Downloads
40009
  • Study Description
  • Data Dictionary
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  • Data files
  • 02 Andhra
    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 &
    Nicobar
  • 29 Dadar &
    Nagar Haveli
  • 30 Daman & Diu
  • 31 Delhi
  • 33 Pondicherry
  • 03 Arunachal
    Pradesh
  • 28 Chandigarh

village/ward code (VILL_WARD_CODE)

Data file: 23 Tamil Nadu

Overview

Valid: 2004827
Invalid: 0
Type: Discrete
Start: 95
End: 98
Width: 4
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
1 87996
4.4%
10 62504
3.1%
100 500
0%
101 570
0%
102 531
0%
103 1395
0.1%
104 796
0%
105 1196
0.1%
106 1037
0.1%
107 711
0%
108 1213
0.1%
109 614
0%
11 59898
3%
110 1566
0.1%
111 863
0%
112 474
0%
113 667
0%
114 834
0%
115 794
0%
116 599
0%
117 897
0%
118 618
0%
119 854
0%
12 67655
3.4%
120 1184
0.1%
121 1015
0.1%
122 784
0%
123 405
0%
124 375
0%
125 998
0%
126 1455
0.1%
127 1425
0.1%
128 1074
0.1%
129 1061
0.1%
13 60797
3%
130 644
0%
131 744
0%
132 577
0%
133 679
0%
134 574
0%
135 933
0%
136 661
0%
137 1410
0.1%
138 853
0%
139 628
0%
14 58491
2.9%
140 834
0%
141 758
0%
142 814
0%
143 700
0%
144 363
0%
145 778
0%
146 887
0%
147 1412
0.1%
148 422
0%
149 626
0%
15 51106
2.5%
150 559
0%
151 952
0%
152 640
0%
153 1015
0.1%
154 732
0%
155 909
0%
16 44848
2.2%
17 48376
2.4%
18 47597
2.4%
19 44147
2.2%
2 74975
3.7%
20 39792
2%
21 35393
1.8%
22 32456
1.6%
23 35829
1.8%
24 27429
1.4%
25 32076
1.6%
26 31740
1.6%
27 30650
1.5%
28 28726
1.4%
29 23953
1.2%
3 74574
3.7%
30 29852
1.5%
302 127
0%
31 21581
1.1%
32 20191
1%
33 17910
0.9%
34 17568
0.9%
35 15953
0.8%
36 14337
0.7%
37 13717
0.7%
38 11902
0.6%
39 11231
0.6%
4 67026
3.3%
40 12060
0.6%
41 12879
0.6%
42 10244
0.5%
43 10057
0.5%
44 11268
0.6%
45 7839
0.4%
46 8579
0.4%
47 10045
0.5%
48 8722
0.4%
49 11220
0.6%
5 76610
3.8%
50 6310
0.3%
51 7113
0.4%
52 6111
0.3%
53 5778
0.3%
54 6219
0.3%
55 4529
0.2%
56 5278
0.3%
57 5012
0.2%
58 6163
0.3%
59 5360
0.3%
6 75683
3.8%
60 3869
0.2%
61 4488
0.2%
62 3603
0.2%
63 5466
0.3%
64 3344
0.2%
65 3452
0.2%
66 3387
0.2%
67 2766
0.1%
68 3861
0.2%
69 2347
0.1%
7 74455
3.7%
70 2327
0.1%
71 2796
0.1%
72 2345
0.1%
73 2113
0.1%
74 2164
0.1%
75 2840
0.1%
76 1433
0.1%
77 1882
0.1%
78 1646
0.1%
79 1749
0.1%
8 74804
3.7%
80 2094
0.1%
81 3281
0.2%
82 1918
0.1%
83 3361
0.2%
84 2431
0.1%
85 1703
0.1%
86 1243
0.1%
87 1043
0.1%
88 1021
0.1%
89 1142
0.1%
9 68252
3.4%
90 1154
0.1%
91 1076
0.1%
92 692
0%
93 758
0%
94 391
0%
95 1145
0.1%
96 885
0%
97 702
0%
98 767
0%
99 540
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.
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