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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
669700
- 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
HIRED ADULT MALE
(H_ADULT_M)
File: 18 Nagaland
File: 18 Nagaland
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 29534 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 00000 | 14654 |  49.6%
| |
| 00001 | 5721 | 19.4%
| |
| 00002 | 3507 | 11.9%
| |
| 00003 | 1734 | 5.9%
| |
| 00004 | 1064 | 3.6%
| |
| 00005 | 609 | 2.1%
| |
| 00006 | 389 | 1.3%
| |
| 00007 | 230 | 0.8%
| |
| 00008 | 217 | 0.7%
| |
| 00009 | 152 | 0.5%
| |
| 00010 | 218 | 0.7%
| |
| 00011 | 93 | 0.3%
| |
| 00012 | 114 | 0.4%
| |
| 00013 | 58 | 0.2%
| |
| 00014 | 63 | 0.2%
| |
| 00015 | 111 | 0.4%
| |
| 00016 | 36 | 0.1%
| |
| 00017 | 28 | 0.1%
| |
| 00018 | 36 | 0.1%
| |
| 00019 | 21 | 0.1%
| |
| 00020 | 45 | 0.2%
| |
| 00021 | 26 | 0.1%
| |
| 00022 | 15 | 0.1%
| |
| 00023 | 20 | 0.1%
| |
| 00024 | 14 | 0.0%
| |
| 00025 | 35 | 0.1%
| |
| 00026 | 10 | 0.0%
| |
| 00027 | 14 | 0.0%
| |
| 00028 | 11 | 0.0%
| |
| 00029 | 10 | 0.0%
| |
| 00030 | 15 | 0.1%
| |
| 00031 | 9 | 0.0%
| |
| 00032 | 5 | 0.0%
| |
| 00033 | 7 | 0.0%
| |
| 00034 | 1 | 0.0%
| |
| 00035 | 11 | 0.0%
| |
| 00036 | 6 | 0.0%
| |
| 00037 | 5 | 0.0%
| |
| 00038 | 4 | 0.0%
| |
| 00039 | 3 | 0.0%
| |
| 00040 | 10 | 0.0%
| |
| 00041 | 4 | 0.0%
| |
| 00042 | 2 | 0.0%
| |
| 00043 | 2 | 0.0%
| |
| 00044 | 1 | 0.0%
| |
| 00045 | 10 | 0.0%
| |
| 00046 | 1 | 0.0%
| |
| 00047 | 2 | 0.0%
| |
| 00048 | 2 | 0.0%
| |
| 00049 | 2 | 0.0%
| |
| 00050 | 6 | 0.0%
| |
| 00053 | 2 | 0.0%
| |
| 00054 | 1 | 0.0%
| |
| 00055 | 2 | 0.0%
| |
| 00056 | 2 | 0.0%
| |
| 00057 | 2 | 0.0%
| |
| 00058 | 1 | 0.0%
| |
| 00059 | 1 | 0.0%
| |
| 00060 | 2 | 0.0%
| |
| 00061 | 1 | 0.0%
| |
| 00062 | 2 | 0.0%
| |
| 00063 | 2 | 0.0%
| |
| 00064 | 3 | 0.0%
| |
| 00066 | 2 | 0.0%
| |
| 00067 | 1 | 0.0%
| |
| 00068 | 1 | 0.0%
| |
| 00069 | 1 | 0.0%
| |
| 00072 | 1 | 0.0%
| |
| 00073 | 3 | 0.0%
| |
| 00074 | 2 | 0.0%
| |
| 00075 | 6 | 0.0%
| |
| 00080 | 1 | 0.0%
| |
| 00081 | 1 | 0.0%
| |
| 00085 | 2 | 0.0%
| |
| 00086 | 3 | 0.0%
| |
| 00087 | 2 | 0.0%
| |
| 00088 | 2 | 0.0%
| |
| 00089 | 3 | 0.0%
| |
| 00093 | 3 | 0.0%
| |
| 00094 | 1 | 0.0%
| |
| 00095 | 1 | 0.0%
| |
| 00096 | 2 | 0.0%
| |
| 00097 | 5 | 0.0%
| |
| 00099 | 1 | 0.0%
| |
| 00100 | 1 | 0.0%
| |
| 00101 | 1 | 0.0%
| |
| 00102 | 2 | 0.0%
| |
| 00104 | 1 | 0.0%
| |
| 00105 | 4 | 0.0%
| |
| 00106 | 2 | 0.0%
| |
| 00107 | 1 | 0.0%
| |
| 00108 | 1 | 0.0%
| |
| 00109 | 1 | 0.0%
| |
| 00110 | 1 | 0.0%
| |
| 00112 | 3 | 0.0%
| |
| 00114 | 2 | 0.0%
| |
| 00115 | 5 | 0.0%
| |
| 00116 | 3 | 0.0%
| |
| 00118 | 2 | 0.0%
| |
| 00120 | 2 | 0.0%
| |
| 00121 | 1 | 0.0%
| |
| 00126 | 2 | 0.0%
| |
| 00127 | 1 | 0.0%
| |
| 00130 | 2 | 0.0%
| |
| 00136 | 2 | 0.0%
| |
| 00137 | 1 | 0.0%
| |
| 00140 | 1 | 0.0%
| |
| 00143 | 1 | 0.0%
| |
| 00146 | 1 | 0.0%
| |
| 00150 | 4 | 0.0%
| |
| 00156 | 3 | 0.0%
| |
| 00158 | 1 | 0.0%
| |
| 00169 | 1 | 0.0%
| |
| 00173 | 1 | 0.0%
| |
| 00174 | 1 | 0.0%
| |
| 00180 | 1 | 0.0%
| |
| 00184 | 1 | 0.0%
| |
| 00185 | 1 | 0.0%
| |
| 00189 | 2 | 0.0%
| |
| 00197 | 1 | 0.0%
| |
| 00200 | 2 | 0.0%
| |
| 00202 | 1 | 0.0%
| |
| 00206 | 1 | 0.0%
| |
| 00209 | 1 | 0.0%
| |
| 00215 | 1 | 0.0%
| |
| 00250 | 3 | 0.0%
| |
| 00295 | 1 | 0.0%
| |
| 00296 | 1 | 0.0%
| |
| 00300 | 2 | 0.0%
| |
| 00305 | 1 | 0.0%
| |
| 00311 | 1 | 0.0%
| |
| 00315 | 1 | 0.0%
| |
| 00340 | 1 | 0.0%
| |
| 00360 | 1 | 0.0%
| |
| 00364 | 2 | 0.0%
| |
| 00387 | 1 | 0.0%
| |
| 00440 | 1 | 0.0%
| |
| 00456 | 1 | 0.0%
| |
| 00509 | 1 | 0.0%
| |
| 00575 | 1 | 0.0%
| |
| 00600 | 1 | 0.0%
| |
| 00750 | 1 | 0.0%
| |
| 00800 | 1 | 0.0%
| |
| 00974 | 1 | 0.0%
| |
| 01026 | 1 | 0.0%
| |
| 01115 | 1 | 0.0%
| |
| 01120 | 1 | 0.0%
| |
| 01150 | 1 | 0.0%
| |
| 01155 | 1 | 0.0%
| |
| 01205 | 1 | 0.0%
| |
| 01210 | 2 | 0.0%
| |
| 01418 | 1 | 0.0%
| |
| 01585 | 1 | 0.0%
| |
| 01815 | 1 | 0.0%
| |
| 01996 | 1 | 0.0%
| |
| 02012 | 1 | 0.0%
| |
| 02211 | 1 | 0.0%
| |
| 02530 | 1 | 0.0%
| |
| 06257 | 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.