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
659272
- 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: 18 Nagaland
File: 18 Nagaland
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 29534 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
00000 | 13912 | 47.1% | |
00001 | 5097 | 17.3% | |
00002 | 3314 | 11.2% | |
00003 | 1821 | 6.2% | |
00004 | 1192 | 4.0% | |
00005 | 816 | 2.8% | |
00006 | 600 | 2.0% | |
00007 | 433 | 1.5% | |
00008 | 325 | 1.1% | |
00009 | 213 | 0.7% | |
00010 | 217 | 0.7% | |
00011 | 111 | 0.4% | |
00012 | 177 | 0.6% | |
00013 | 106 | 0.4% | |
00014 | 115 | 0.4% | |
00015 | 127 | 0.4% | |
00016 | 81 | 0.3% | |
00017 | 55 | 0.2% | |
00018 | 67 | 0.2% | |
00019 | 40 | 0.1% | |
00020 | 68 | 0.2% | |
00021 | 34 | 0.1% | |
00022 | 32 | 0.1% | |
00023 | 40 | 0.1% | |
00024 | 24 | 0.1% | |
00025 | 37 | 0.1% | |
00026 | 25 | 0.1% | |
00027 | 16 | 0.1% | |
00028 | 17 | 0.1% | |
00029 | 16 | 0.1% | |
00030 | 28 | 0.1% | |
00031 | 13 | 0.0% | |
00032 | 13 | 0.0% | |
00033 | 20 | 0.1% | |
00034 | 9 | 0.0% | |
00035 | 9 | 0.0% | |
00036 | 9 | 0.0% | |
00037 | 10 | 0.0% | |
00038 | 6 | 0.0% | |
00039 | 4 | 0.0% | |
00040 | 6 | 0.0% | |
00041 | 7 | 0.0% | |
00042 | 2 | 0.0% | |
00043 | 7 | 0.0% | |
00044 | 4 | 0.0% | |
00045 | 10 | 0.0% | |
00046 | 5 | 0.0% | |
00047 | 2 | 0.0% | |
00048 | 4 | 0.0% | |
00049 | 6 | 0.0% | |
00050 | 9 | 0.0% | |
00051 | 4 | 0.0% | |
00052 | 3 | 0.0% | |
00053 | 7 | 0.0% | |
00054 | 3 | 0.0% | |
00055 | 4 | 0.0% | |
00056 | 1 | 0.0% | |
00057 | 2 | 0.0% | |
00058 | 3 | 0.0% | |
00059 | 1 | 0.0% | |
00060 | 6 | 0.0% | |
00061 | 1 | 0.0% | |
00062 | 1 | 0.0% | |
00063 | 4 | 0.0% | |
00064 | 1 | 0.0% | |
00065 | 1 | 0.0% | |
00066 | 1 | 0.0% | |
00067 | 1 | 0.0% | |
00069 | 1 | 0.0% | |
00070 | 2 | 0.0% | |
00071 | 1 | 0.0% | |
00072 | 2 | 0.0% | |
00073 | 3 | 0.0% | |
00074 | 1 | 0.0% | |
00075 | 2 | 0.0% | |
00076 | 3 | 0.0% | |
00078 | 3 | 0.0% | |
00080 | 3 | 0.0% | |
00082 | 1 | 0.0% | |
00083 | 1 | 0.0% | |
00084 | 1 | 0.0% | |
00085 | 2 | 0.0% | |
00087 | 3 | 0.0% | |
00088 | 2 | 0.0% | |
00089 | 1 | 0.0% | |
00090 | 1 | 0.0% | |
00094 | 1 | 0.0% | |
00095 | 3 | 0.0% | |
00097 | 1 | 0.0% | |
00100 | 3 | 0.0% | |
00101 | 2 | 0.0% | |
00103 | 1 | 0.0% | |
00104 | 1 | 0.0% | |
00105 | 1 | 0.0% | |
00106 | 1 | 0.0% | |
00107 | 2 | 0.0% | |
00110 | 1 | 0.0% | |
00112 | 2 | 0.0% | |
00113 | 1 | 0.0% | |
00115 | 2 | 0.0% | |
00116 | 2 | 0.0% | |
00122 | 1 | 0.0% | |
00123 | 2 | 0.0% | |
00124 | 2 | 0.0% | |
00125 | 1 | 0.0% | |
00126 | 1 | 0.0% | |
00127 | 1 | 0.0% | |
00128 | 2 | 0.0% | |
00129 | 1 | 0.0% | |
00130 | 1 | 0.0% | |
00131 | 1 | 0.0% | |
00132 | 1 | 0.0% | |
00133 | 2 | 0.0% | |
00134 | 2 | 0.0% | |
00135 | 3 | 0.0% | |
00136 | 1 | 0.0% | |
00141 | 1 | 0.0% | |
00142 | 1 | 0.0% | |
00143 | 1 | 0.0% | |
00144 | 1 | 0.0% | |
00145 | 1 | 0.0% | |
00146 | 1 | 0.0% | |
00147 | 1 | 0.0% | |
00150 | 2 | 0.0% | |
00153 | 1 | 0.0% | |
00154 | 1 | 0.0% | |
00155 | 2 | 0.0% | |
00156 | 2 | 0.0% | |
00163 | 1 | 0.0% | |
00164 | 1 | 0.0% | |
00166 | 1 | 0.0% | |
00167 | 1 | 0.0% | |
00170 | 1 | 0.0% | |
00171 | 1 | 0.0% | |
00172 | 1 | 0.0% | |
00174 | 2 | 0.0% | |
00177 | 2 | 0.0% | |
00180 | 3 | 0.0% | |
00181 | 1 | 0.0% | |
00184 | 1 | 0.0% | |
00185 | 1 | 0.0% | |
00186 | 1 | 0.0% | |
00188 | 1 | 0.0% | |
00191 | 1 | 0.0% | |
00197 | 1 | 0.0% | |
00198 | 1 | 0.0% | |
00199 | 1 | 0.0% | |
00200 | 1 | 0.0% | |
00201 | 1 | 0.0% | |
00220 | 1 | 0.0% | |
00223 | 1 | 0.0% | |
00224 | 1 | 0.0% | |
00225 | 2 | 0.0% | |
00231 | 1 | 0.0% | |
00243 | 1 | 0.0% | |
00247 | 1 | 0.0% | |
00259 | 1 | 0.0% | |
00260 | 1 | 0.0% | |
00267 | 1 | 0.0% | |
00270 | 2 | 0.0% | |
00271 | 1 | 0.0% | |
00276 | 1 | 0.0% | |
00280 | 1 | 0.0% | |
00293 | 1 | 0.0% | |
00294 | 1 | 0.0% | |
00300 | 1 | 0.0% | |
00302 | 1 | 0.0% | |
00310 | 1 | 0.0% | |
00317 | 1 | 0.0% | |
00340 | 1 | 0.0% | |
00343 | 1 | 0.0% | |
00360 | 1 | 0.0% | |
00369 | 1 | 0.0% | |
00397 | 1 | 0.0% | |
00412 | 1 | 0.0% | |
00414 | 1 | 0.0% | |
00415 | 1 | 0.0% | |
00491 | 1 | 0.0% | |
00492 | 1 | 0.0% | |
00510 | 1 | 0.0% | |
00511 | 1 | 0.0% | |
00512 | 1 | 0.0% | |
00515 | 1 | 0.0% | |
00595 | 1 | 0.0% | |
00600 | 1 | 0.0% | |
00653 | 1 | 0.0% | |
00753 | 1 | 0.0% | |
00778 | 1 | 0.0% | |
00903 | 1 | 0.0% | |
01000 | 1 | 0.0% | |
01031 | 1 | 0.0% | |
01038 | 1 | 0.0% | |
01163 | 1 | 0.0% | |
01183 | 1 | 0.0% | |
01211 | 1 | 0.0% | |
01228 | 1 | 0.0% | |
01239 | 1 | 0.0% | |
01261 | 1 | 0.0% | |
01292 | 1 | 0.0% | |
01464 | 1 | 0.0% | |
01606 | 1 | 0.0% | |
01969 | 1 | 0.0% | |
02039 | 1 | 0.0% | |
02044 | 1 | 0.0% | |
02297 | 1 | 0.0% | |
04385 | 1 | 0.0% | |
06399 | 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.