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
681891
- 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: 33 Pondichery
File: 33 Pondichery
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 42807 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
00000 | 22870 | 53.4% | |
00001 | 7416 | 17.3% | |
00002 | 4679 | 10.9% | |
00003 | 1965 | 4.6% | |
00004 | 1323 | 3.1% | |
00005 | 799 | 1.9% | |
00006 | 637 | 1.5% | |
00007 | 380 | 0.9% | |
00008 | 297 | 0.7% | |
00009 | 256 | 0.6% | |
00010 | 295 | 0.7% | |
00011 | 139 | 0.3% | |
00012 | 150 | 0.4% | |
00013 | 78 | 0.2% | |
00014 | 91 | 0.2% | |
00015 | 145 | 0.3% | |
00016 | 76 | 0.2% | |
00017 | 62 | 0.1% | |
00018 | 73 | 0.2% | |
00019 | 52 | 0.1% | |
00020 | 106 | 0.2% | |
00021 | 51 | 0.1% | |
00022 | 40 | 0.1% | |
00023 | 30 | 0.1% | |
00024 | 35 | 0.1% | |
00025 | 51 | 0.1% | |
00026 | 24 | 0.1% | |
00027 | 19 | 0.0% | |
00028 | 28 | 0.1% | |
00029 | 19 | 0.0% | |
00030 | 47 | 0.1% | |
00031 | 20 | 0.0% | |
00032 | 20 | 0.0% | |
00033 | 12 | 0.0% | |
00034 | 16 | 0.0% | |
00035 | 21 | 0.0% | |
00036 | 17 | 0.0% | |
00037 | 16 | 0.0% | |
00038 | 11 | 0.0% | |
00039 | 8 | 0.0% | |
00040 | 26 | 0.1% | |
00041 | 11 | 0.0% | |
00042 | 11 | 0.0% | |
00043 | 9 | 0.0% | |
00044 | 6 | 0.0% | |
00045 | 18 | 0.0% | |
00046 | 9 | 0.0% | |
00047 | 4 | 0.0% | |
00048 | 3 | 0.0% | |
00049 | 5 | 0.0% | |
00050 | 15 | 0.0% | |
00051 | 14 | 0.0% | |
00052 | 2 | 0.0% | |
00053 | 4 | 0.0% | |
00054 | 9 | 0.0% | |
00055 | 10 | 0.0% | |
00056 | 3 | 0.0% | |
00057 | 7 | 0.0% | |
00058 | 5 | 0.0% | |
00059 | 3 | 0.0% | |
00060 | 18 | 0.0% | |
00061 | 5 | 0.0% | |
00062 | 1 | 0.0% | |
00063 | 5 | 0.0% | |
00064 | 1 | 0.0% | |
00065 | 3 | 0.0% | |
00066 | 1 | 0.0% | |
00068 | 2 | 0.0% | |
00069 | 3 | 0.0% | |
00070 | 13 | 0.0% | |
00071 | 3 | 0.0% | |
00072 | 1 | 0.0% | |
00073 | 2 | 0.0% | |
00074 | 2 | 0.0% | |
00075 | 7 | 0.0% | |
00076 | 2 | 0.0% | |
00077 | 3 | 0.0% | |
00078 | 2 | 0.0% | |
00079 | 5 | 0.0% | |
00080 | 5 | 0.0% | |
00081 | 3 | 0.0% | |
00083 | 1 | 0.0% | |
00084 | 3 | 0.0% | |
00085 | 3 | 0.0% | |
00086 | 2 | 0.0% | |
00087 | 1 | 0.0% | |
00088 | 3 | 0.0% | |
00089 | 1 | 0.0% | |
00090 | 1 | 0.0% | |
00091 | 1 | 0.0% | |
00092 | 4 | 0.0% | |
00093 | 1 | 0.0% | |
00094 | 1 | 0.0% | |
00095 | 2 | 0.0% | |
00096 | 2 | 0.0% | |
00099 | 2 | 0.0% | |
00100 | 2 | 0.0% | |
00101 | 1 | 0.0% | |
00102 | 1 | 0.0% | |
00104 | 1 | 0.0% | |
00105 | 1 | 0.0% | |
00106 | 3 | 0.0% | |
00107 | 1 | 0.0% | |
00108 | 3 | 0.0% | |
00109 | 2 | 0.0% | |
00110 | 2 | 0.0% | |
00111 | 1 | 0.0% | |
00112 | 1 | 0.0% | |
00114 | 1 | 0.0% | |
00115 | 1 | 0.0% | |
00116 | 1 | 0.0% | |
00117 | 2 | 0.0% | |
00118 | 2 | 0.0% | |
00120 | 2 | 0.0% | |
00122 | 1 | 0.0% | |
00123 | 1 | 0.0% | |
00124 | 1 | 0.0% | |
00126 | 2 | 0.0% | |
00127 | 1 | 0.0% | |
00128 | 2 | 0.0% | |
00129 | 2 | 0.0% | |
00130 | 5 | 0.0% | |
00131 | 1 | 0.0% | |
00133 | 1 | 0.0% | |
00134 | 1 | 0.0% | |
00137 | 2 | 0.0% | |
00138 | 2 | 0.0% | |
00140 | 2 | 0.0% | |
00141 | 2 | 0.0% | |
00144 | 2 | 0.0% | |
00145 | 2 | 0.0% | |
00150 | 1 | 0.0% | |
00151 | 1 | 0.0% | |
00152 | 1 | 0.0% | |
00153 | 1 | 0.0% | |
00154 | 1 | 0.0% | |
00155 | 1 | 0.0% | |
00160 | 2 | 0.0% | |
00163 | 1 | 0.0% | |
00164 | 1 | 0.0% | |
00170 | 3 | 0.0% | |
00177 | 1 | 0.0% | |
00179 | 1 | 0.0% | |
00180 | 1 | 0.0% | |
00182 | 1 | 0.0% | |
00187 | 2 | 0.0% | |
00188 | 1 | 0.0% | |
00189 | 2 | 0.0% | |
00194 | 1 | 0.0% | |
00195 | 2 | 0.0% | |
00199 | 1 | 0.0% | |
00200 | 1 | 0.0% | |
00202 | 1 | 0.0% | |
00214 | 1 | 0.0% | |
00215 | 2 | 0.0% | |
00229 | 1 | 0.0% | |
00244 | 1 | 0.0% | |
00246 | 1 | 0.0% | |
00248 | 1 | 0.0% | |
00250 | 1 | 0.0% | |
00251 | 1 | 0.0% | |
00255 | 1 | 0.0% | |
00266 | 1 | 0.0% | |
00268 | 1 | 0.0% | |
00282 | 1 | 0.0% | |
00283 | 1 | 0.0% | |
00286 | 1 | 0.0% | |
00290 | 1 | 0.0% | |
00297 | 1 | 0.0% | |
00302 | 1 | 0.0% | |
00303 | 1 | 0.0% | |
00311 | 1 | 0.0% | |
00314 | 1 | 0.0% | |
00333 | 1 | 0.0% | |
00337 | 1 | 0.0% | |
00342 | 1 | 0.0% | |
00343 | 1 | 0.0% | |
00347 | 1 | 0.0% | |
00353 | 1 | 0.0% | |
00356 | 1 | 0.0% | |
00375 | 2 | 0.0% | |
00377 | 1 | 0.0% | |
00380 | 1 | 0.0% | |
00410 | 1 | 0.0% | |
00415 | 1 | 0.0% | |
00419 | 1 | 0.0% | |
00422 | 1 | 0.0% | |
00423 | 1 | 0.0% | |
00474 | 1 | 0.0% | |
00496 | 1 | 0.0% | |
00500 | 2 | 0.0% | |
00559 | 1 | 0.0% | |
00577 | 1 | 0.0% | |
00585 | 1 | 0.0% | |
00608 | 1 | 0.0% | |
00648 | 1 | 0.0% | |
00694 | 1 | 0.0% | |
00704 | 1 | 0.0% | |
00712 | 1 | 0.0% | |
00719 | 1 | 0.0% | |
00784 | 1 | 0.0% | |
00785 | 1 | 0.0% | |
00842 | 1 | 0.0% | |
01220 | 1 | 0.0% | |
01400 | 1 | 0.0% | |
02469 | 1 | 0.0% | |
02596 | 1 | 0.0% | |
04628 | 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.