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
721326
- 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
VILLAGE CODE
(V_C)
File: 22 Sikkim
File: 22 Sikkim
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 13059 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
001 | 136 | ![]() | |
002 | 26 | ![]() | |
003 | 257 | ![]() | |
004 | 252 | ![]() | |
005 | 403 | ![]() | |
006 | 50 | ![]() | |
007 | 55 | ![]() | |
008 | 165 | ![]() | |
009 | 55 | ![]() | |
010 | 64 | ![]() | |
011 | 175 | ![]() | |
012 | 65 | ![]() | |
013 | 47 | ![]() | |
014 | 135 | ![]() | |
015 | 43 | ![]() | |
016 | 38 | ![]() | |
017 | 851 | ![]() | |
018 | 3493 | ![]() | |
019 | 156 | ![]() | |
020 | 118 | ![]() | |
021 | 92 | ![]() | |
022 | 58 | ![]() | |
023 | 134 | ![]() | |
024 | 87 | ![]() | |
025 | 262 | ![]() | |
026 | 183 | ![]() | |
027 | 648 | ![]() | |
028 | 191 | ![]() | |
029 | 77 | ![]() | |
030 | 74 | ![]() | |
031 | 480 | ![]() | |
032 | 81 | ![]() | |
033 | 115 | ![]() | |
034 | 52 | ![]() | |
035 | 65 | ![]() | |
036 | 152 | ![]() | |
037 | 709 | ![]() | |
038 | 54 | ![]() | |
039 | 180 | ![]() | |
040 | 53 | ![]() | |
041 | 140 | ![]() | |
042 | 101 | ![]() | |
043 | 81 | ![]() | |
044 | 53 | ![]() | |
045 | 80 | ![]() | |
046 | 47 | ![]() | |
047 | 307 | ![]() | |
048 | 60 | ![]() | |
049 | 43 | ![]() | |
050 | 25 | ![]() | |
051 | 45 | ![]() | |
052 | 44 | ![]() | |
053 | 11 | ![]() | |
054 | 23 | ![]() | |
055 | 27 | ![]() | |
056 | 118 | ![]() | |
057 | 66 | ![]() | |
058 | 41 | ![]() | |
059 | 18 | ![]() | |
060 | 50 | ![]() | |
061 | 7 | ![]() | |
062 | 52 | ![]() | |
063 | 16 | ![]() | |
064 | 40 | ![]() | |
065 | 201 | ![]() | |
066 | 117 | ![]() | |
067 | 19 | ![]() | |
068 | 32 | ![]() | |
069 | 39 | ![]() | |
070 | 22 | ![]() | |
071 | 14 | ![]() | |
072 | 24 | ![]() | |
073 | 21 | ![]() | |
074 | 8 | ![]() | |
075 | 14 | ![]() | |
076 | 7 | ![]() | |
077 | 86 | ![]() | |
078 | 38 | ![]() | |
079 | 6 | ![]() | |
080 | 8 | ![]() | |
081 | 46 | ![]() | |
082 | 33 | ![]() | |
083 | 14 | ![]() | |
084 | 42 | ![]() | |
085 | 17 | ![]() | |
086 | 47 | ![]() | |
087 | 36 | ![]() | |
088 | 27 | ![]() | |
089 | 74 | ![]() | |
090 | 30 | ![]() | |
091 | 22 | ![]() | |
092 | 3 | ![]() | |
093 | 81 | ![]() | |
094 | 67 | ![]() | |
095 | 24 | ![]() | |
096 | 4 | ![]() | |
097 | 10 | ![]() |
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.