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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
684796
- 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
TOTAL OF HIRED
(T_HIRED)
File: 22 Sikkim
File: 22 Sikkim
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 13059 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 00000 | 5640 |  43.2%
| |
| 00001 | 2991 | 22.9%
| |
| 00002 | 1939 | 14.8%
| |
| 00003 | 580 | 4.4%
| |
| 00004 | 412 | 3.2%
| |
| 00005 | 238 | 1.8%
| |
| 00006 | 234 | 1.8%
| |
| 00007 | 160 | 1.2%
| |
| 00008 | 134 | 1.0%
| |
| 00009 | 67 | 0.5%
| |
| 00010 | 72 | 0.6%
| |
| 00011 | 41 | 0.3%
| |
| 00012 | 47 | 0.4%
| |
| 00013 | 56 | 0.4%
| |
| 00014 | 42 | 0.3%
| |
| 00015 | 36 | 0.3%
| |
| 00016 | 25 | 0.2%
| |
| 00017 | 23 | 0.2%
| |
| 00018 | 19 | 0.1%
| |
| 00019 | 17 | 0.1%
| |
| 00020 | 22 | 0.2%
| |
| 00021 | 13 | 0.1%
| |
| 00022 | 19 | 0.1%
| |
| 00023 | 9 | 0.1%
| |
| 00024 | 15 | 0.1%
| |
| 00025 | 14 | 0.1%
| |
| 00026 | 12 | 0.1%
| |
| 00027 | 7 | 0.1%
| |
| 00028 | 10 | 0.1%
| |
| 00029 | 4 | 0.0%
| |
| 00030 | 9 | 0.1%
| |
| 00031 | 5 | 0.0%
| |
| 00032 | 8 | 0.1%
| |
| 00033 | 4 | 0.0%
| |
| 00034 | 3 | 0.0%
| |
| 00035 | 9 | 0.1%
| |
| 00036 | 5 | 0.0%
| |
| 00037 | 3 | 0.0%
| |
| 00038 | 2 | 0.0%
| |
| 00039 | 6 | 0.0%
| |
| 00040 | 3 | 0.0%
| |
| 00041 | 1 | 0.0%
| |
| 00042 | 2 | 0.0%
| |
| 00043 | 1 | 0.0%
| |
| 00045 | 7 | 0.1%
| |
| 00046 | 1 | 0.0%
| |
| 00047 | 4 | 0.0%
| |
| 00048 | 2 | 0.0%
| |
| 00049 | 1 | 0.0%
| |
| 00050 | 5 | 0.0%
| |
| 00051 | 2 | 0.0%
| |
| 00052 | 1 | 0.0%
| |
| 00053 | 2 | 0.0%
| |
| 00054 | 1 | 0.0%
| |
| 00055 | 4 | 0.0%
| |
| 00056 | 3 | 0.0%
| |
| 00057 | 2 | 0.0%
| |
| 00059 | 2 | 0.0%
| |
| 00060 | 5 | 0.0%
| |
| 00061 | 3 | 0.0%
| |
| 00062 | 3 | 0.0%
| |
| 00063 | 3 | 0.0%
| |
| 00065 | 2 | 0.0%
| |
| 00067 | 2 | 0.0%
| |
| 00068 | 1 | 0.0%
| |
| 00070 | 2 | 0.0%
| |
| 00071 | 1 | 0.0%
| |
| 00073 | 1 | 0.0%
| |
| 00074 | 1 | 0.0%
| |
| 00075 | 4 | 0.0%
| |
| 00077 | 2 | 0.0%
| |
| 00078 | 2 | 0.0%
| |
| 00081 | 1 | 0.0%
| |
| 00082 | 1 | 0.0%
| |
| 00083 | 1 | 0.0%
| |
| 00085 | 1 | 0.0%
| |
| 00086 | 1 | 0.0%
| |
| 00088 | 3 | 0.0%
| |
| 00090 | 1 | 0.0%
| |
| 00092 | 1 | 0.0%
| |
| 00094 | 1 | 0.0%
| |
| 00097 | 1 | 0.0%
| |
| 00098 | 2 | 0.0%
| |
| 00099 | 1 | 0.0%
| |
| 00100 | 1 | 0.0%
| |
| 00108 | 1 | 0.0%
| |
| 00115 | 1 | 0.0%
| |
| 00116 | 1 | 0.0%
| |
| 00123 | 1 | 0.0%
| |
| 00132 | 1 | 0.0%
| |
| 00151 | 1 | 0.0%
| |
| 00156 | 1 | 0.0%
| |
| 00169 | 1 | 0.0%
| |
| 00228 | 1 | 0.0%
| |
| 00264 | 1 | 0.0%
| |
| 00315 | 1 | 0.0%
| |
| 00357 | 1 | 0.0%
| |
| 00385 | 1 | 0.0%
| |
| 00396 | 1 | 0.0%
| |
| 00455 | 1 | 0.0%
|
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.