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    Home / Central Data Catalog / IDDI-IND-MOSPI-3-EC-1990 / variable [F30]
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
631796
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  • 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

Activity Code (ACTIVITY_CODE)

Data file: 29 Dadar & Nagar Haveli

Overview

Valid: 2700
Invalid: 0
Type: Discrete
Start: 37
End: 40
Width: 4
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0200 30
1.1%
0210 8
0.3%
0250 16
0.6%
0290 2
0.1%
0320 1
0%
0399 1
0%
0600 3
0.1%
0610 139
5.1%
1390 1
0%
1504 4
0.1%
1561 1
0%
2001 1
0%
2015 11
0.4%
2041 81
3%
2042 9
0.3%
2059 3
0.1%
2073 3
0.1%
2093 1
0%
2111 1
0%
2113 2
0.1%
2241 7
0.3%
2310 4
0.1%
2330 30
1.1%
2363 1
0%
2365 1
0%
2401 17
0.6%
2402 15
0.6%
2403 9
0.3%
2413 6
0.2%
2414 3
0.1%
2451 1
0%
2473 11
0.4%
2476 44
1.6%
2481 1
0%
2611 18
0.7%
2661 1
0%
2672 1
0%
2676 1
0%
2700 4
0.1%
2720 21
0.8%
2731 11
0.4%
2733 1
0%
2735 2
0.1%
2793 2
0.1%
2802 4
0.1%
2804 1
0%
2809 3
0.1%
2819 1
0%
2822 1
0%
2852 1
0%
2860 1
0%
2899 6
0.2%
2911 1
0%
2912 1
0%
3001 1
0%
3002 3
0.1%
3007 2
0.1%
3008 1
0%
3031 1
0%
3049 1
0%
3051 2
0.1%
3057 1
0%
3094 1
0%
3099 2
0.1%
3112 3
0.1%
3131 16
0.6%
3137 4
0.1%
3201 10
0.4%
3204 5
0.2%
3211 1
0%
3221 1
0%
3231 34
1.3%
3292 3
0.1%
3302 5
0.2%
3304 1
0%
3321 1
0%
3371 5
0.2%
3401 3
0.1%
3415 2
0.1%
3432 1
0%
3434 1
0%
3440 24
0.9%
3450 4
0.1%
3494 2
0.1%
3499 1
0%
3548 1
0%
3586 2
0.1%
3610 2
0.1%
3671 1
0%
3674 1
0%
3688 1
0%
3689 1
0%
3699 1
0%
3812 2
0.1%
3831 7
0.3%
3833 1
0%
3899 1
0%
3960 3
0.1%
3993 3
0.1%
4001 1
0%
4200 11
0.4%
5001 27
1%
5002 3
0.1%
5131 1
0%
5150 4
0.1%
5190 1
0%
6001 2
0.1%
6014 3
0.1%
6015 2
0.1%
6029 3
0.1%
6052 1
0%
6061 2
0.1%
6071 18
0.7%
6130 1
0%
6140 4
0.1%
6150 1
0%
6170 1
0%
6231 1
0%
6320 3
0.1%
6330 2
0.1%
6380 10
0.4%
6490 1
0%
6500 324
12%
6510 65
2.4%
6520 16
0.6%
6530 32
1.2%
6540 12
0.4%
6550 43
1.6%
6560 48
1.8%
6601 26
1%
6602 4
0.1%
6603 19
0.7%
6609 8
0.3%
6612 25
0.9%
6701 1
0%
6702 2
0.1%
6703 1
0%
6710 15
0.6%
6721 3
0.1%
6730 9
0.3%
6740 14
0.5%
6751 8
0.3%
6752 6
0.2%
6753 4
0.1%
6759 2
0.1%
6760 2
0.1%
6792 5
0.2%
6799 11
0.4%
6800 5
0.2%
6810 2
0.1%
6830 20
0.7%
6840 1
0%
6850 1
0%
6860 11
0.4%
6870 4
0.1%
6881 6
0.2%
6882 23
0.9%
6883 55
2%
6886 2
0.1%
6888 5
0.2%
6889 8
0.3%
6891 2
0.1%
6892 4
0.1%
6899 8
0.3%
6900 113
4.2%
6910 22
0.8%
7010 5
0.2%
7020 36
1.3%
7030 44
1.6%
7060 7
0.3%
7490 15
0.6%
7500 12
0.4%
7520 2
0.1%
8000 7
0.3%
8019 1
0%
8204 1
0%
8300 3
0.1%
8995 3
0.1%
8999 1
0%
9010 46
1.7%
9020 17
0.6%
9030 6
0.2%
9200 3
0.1%
9210 256
9.5%
9220 2
0.1%
9301 37
1.4%
9302 4
0.1%
9304 3
0.1%
9309 3
0.1%
9310 3
0.1%
9400 31
1.1%
9420 11
0.4%
9500 2
0.1%
9510 1
0%
9561 5
0.2%
9562 1
0%
9570 4
0.1%
9580 1
0%
9591 1
0%
9599 3
0.1%
9610 21
0.8%
9620 30
1.1%
9630 5
0.2%
9640 157
5.8%
9690 3
0.1%
9700 2
0.1%
9710 8
0.3%
9720 11
0.4%
9730 5
0.2%
9740 21
0.8%
9750 34
1.3%
9790 3
0.1%
X100 4
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.
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