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
681110
- 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: 29 Dadar & Nagar Haveli
File: 29 Dadar & Nagar Haveli
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 3977 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
00000 | 1728 | 43.4% | |
00001 | 742 | 18.7% | |
00002 | 386 | 9.7% | |
00003 | 140 | 3.5% | |
00004 | 75 | 1.9% | |
00005 | 89 | 2.2% | |
00006 | 79 | 2.0% | |
00007 | 53 | 1.3% | |
00008 | 68 | 1.7% | |
00009 | 26 | 0.7% | |
00010 | 57 | 1.4% | |
00011 | 26 | 0.7% | |
00012 | 39 | 1.0% | |
00013 | 27 | 0.7% | |
00014 | 22 | 0.6% | |
00015 | 48 | 1.2% | |
00016 | 18 | 0.5% | |
00017 | 15 | 0.4% | |
00018 | 19 | 0.5% | |
00019 | 8 | 0.2% | |
00020 | 36 | 0.9% | |
00021 | 9 | 0.2% | |
00022 | 18 | 0.5% | |
00023 | 4 | 0.1% | |
00024 | 5 | 0.1% | |
00025 | 23 | 0.6% | |
00026 | 3 | 0.1% | |
00027 | 3 | 0.1% | |
00028 | 3 | 0.1% | |
00029 | 3 | 0.1% | |
00030 | 14 | 0.4% | |
00031 | 6 | 0.2% | |
00032 | 7 | 0.2% | |
00033 | 3 | 0.1% | |
00034 | 1 | 0.0% | |
00035 | 9 | 0.2% | |
00036 | 1 | 0.0% | |
00037 | 3 | 0.1% | |
00038 | 4 | 0.1% | |
00039 | 2 | 0.1% | |
00040 | 14 | 0.4% | |
00041 | 3 | 0.1% | |
00042 | 1 | 0.0% | |
00043 | 3 | 0.1% | |
00044 | 2 | 0.1% | |
00045 | 5 | 0.1% | |
00046 | 1 | 0.0% | |
00049 | 2 | 0.1% | |
00050 | 8 | 0.2% | |
00052 | 1 | 0.0% | |
00053 | 1 | 0.0% | |
00054 | 2 | 0.1% | |
00055 | 3 | 0.1% | |
00056 | 2 | 0.1% | |
00058 | 1 | 0.0% | |
00060 | 8 | 0.2% | |
00062 | 3 | 0.1% | |
00064 | 4 | 0.1% | |
00065 | 4 | 0.1% | |
00066 | 1 | 0.0% | |
00069 | 1 | 0.0% | |
00070 | 12 | 0.3% | |
00071 | 1 | 0.0% | |
00075 | 3 | 0.1% | |
00076 | 1 | 0.0% | |
00080 | 3 | 0.1% | |
00082 | 2 | 0.1% | |
00084 | 1 | 0.0% | |
00085 | 1 | 0.0% | |
00087 | 1 | 0.0% | |
00090 | 3 | 0.1% | |
00091 | 1 | 0.0% | |
00094 | 1 | 0.0% | |
00095 | 4 | 0.1% | |
00098 | 1 | 0.0% | |
00100 | 3 | 0.1% | |
00101 | 1 | 0.0% | |
00108 | 2 | 0.1% | |
00110 | 2 | 0.1% | |
00111 | 1 | 0.0% | |
00113 | 1 | 0.0% | |
00114 | 1 | 0.0% | |
00115 | 1 | 0.0% | |
00118 | 1 | 0.0% | |
00120 | 2 | 0.1% | |
00121 | 1 | 0.0% | |
00125 | 2 | 0.1% | |
00130 | 1 | 0.0% | |
00137 | 1 | 0.0% | |
00140 | 1 | 0.0% | |
00144 | 1 | 0.0% | |
00150 | 3 | 0.1% | |
00152 | 1 | 0.0% | |
00156 | 1 | 0.0% | |
00161 | 1 | 0.0% | |
00170 | 1 | 0.0% | |
00175 | 1 | 0.0% | |
00177 | 1 | 0.0% | |
00188 | 2 | 0.1% | |
00193 | 1 | 0.0% | |
00200 | 3 | 0.1% | |
00227 | 1 | 0.0% | |
00243 | 1 | 0.0% | |
00250 | 1 | 0.0% | |
00260 | 1 | 0.0% | |
00300 | 1 | 0.0% | |
00307 | 1 | 0.0% | |
00387 | 1 | 0.0% | |
00400 | 1 | 0.0% | |
00448 | 1 | 0.0% | |
00500 | 1 | 0.0% | |
00582 | 1 | 0.0% | |
01020 | 1 | 0.0% | |
01022 | 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.