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
669871
- 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 ADULT MALE
(T_ADULT_M)
File: 03 Arunachal Pradesh
File: 03 Arunachal Pradesh
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 20694 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
00000 | 999 | 4.8% | |
00001 | 10142 | 49.0% | |
00002 | 4514 | 21.8% | |
00003 | 1678 | 8.1% | |
00004 | 818 | 4.0% | |
00005 | 523 | 2.5% | |
00006 | 326 | 1.6% | |
00007 | 212 | 1.0% | |
00008 | 205 | 1.0% | |
00009 | 136 | 0.7% | |
00010 | 167 | 0.8% | |
00011 | 73 | 0.4% | |
00012 | 100 | 0.5% | |
00013 | 51 | 0.2% | |
00014 | 65 | 0.3% | |
00015 | 74 | 0.4% | |
00016 | 60 | 0.3% | |
00017 | 30 | 0.1% | |
00018 | 40 | 0.2% | |
00019 | 27 | 0.1% | |
00020 | 53 | 0.3% | |
00021 | 15 | 0.1% | |
00022 | 23 | 0.1% | |
00023 | 17 | 0.1% | |
00024 | 24 | 0.1% | |
00025 | 23 | 0.1% | |
00026 | 14 | 0.1% | |
00027 | 13 | 0.1% | |
00028 | 12 | 0.1% | |
00029 | 8 | 0.0% | |
00030 | 22 | 0.1% | |
00031 | 10 | 0.0% | |
00032 | 9 | 0.0% | |
00033 | 1 | 0.0% | |
00034 | 7 | 0.0% | |
00035 | 8 | 0.0% | |
00036 | 5 | 0.0% | |
00037 | 7 | 0.0% | |
00038 | 10 | 0.0% | |
00039 | 7 | 0.0% | |
00040 | 15 | 0.1% | |
00041 | 2 | 0.0% | |
00042 | 5 | 0.0% | |
00043 | 3 | 0.0% | |
00044 | 3 | 0.0% | |
00045 | 2 | 0.0% | |
00046 | 3 | 0.0% | |
00047 | 2 | 0.0% | |
00048 | 4 | 0.0% | |
00049 | 3 | 0.0% | |
00050 | 6 | 0.0% | |
00051 | 3 | 0.0% | |
00052 | 3 | 0.0% | |
00053 | 7 | 0.0% | |
00054 | 3 | 0.0% | |
00055 | 5 | 0.0% | |
00056 | 2 | 0.0% | |
00057 | 1 | 0.0% | |
00058 | 1 | 0.0% | |
00059 | 1 | 0.0% | |
00060 | 5 | 0.0% | |
00061 | 2 | 0.0% | |
00063 | 7 | 0.0% | |
00064 | 2 | 0.0% | |
00065 | 1 | 0.0% | |
00066 | 3 | 0.0% | |
00068 | 3 | 0.0% | |
00070 | 1 | 0.0% | |
00072 | 1 | 0.0% | |
00074 | 1 | 0.0% | |
00075 | 2 | 0.0% | |
00077 | 1 | 0.0% | |
00078 | 1 | 0.0% | |
00079 | 3 | 0.0% | |
00080 | 4 | 0.0% | |
00081 | 1 | 0.0% | |
00082 | 2 | 0.0% | |
00083 | 1 | 0.0% | |
00084 | 2 | 0.0% | |
00085 | 4 | 0.0% | |
00086 | 1 | 0.0% | |
00088 | 1 | 0.0% | |
00090 | 2 | 0.0% | |
00091 | 2 | 0.0% | |
00095 | 2 | 0.0% | |
00100 | 2 | 0.0% | |
00103 | 2 | 0.0% | |
00112 | 1 | 0.0% | |
00118 | 2 | 0.0% | |
00120 | 3 | 0.0% | |
00125 | 1 | 0.0% | |
00126 | 1 | 0.0% | |
00132 | 1 | 0.0% | |
00135 | 2 | 0.0% | |
00143 | 1 | 0.0% | |
00150 | 3 | 0.0% | |
00151 | 1 | 0.0% | |
00166 | 1 | 0.0% | |
00173 | 1 | 0.0% | |
00181 | 1 | 0.0% | |
00194 | 1 | 0.0% | |
00198 | 1 | 0.0% | |
00200 | 3 | 0.0% | |
00221 | 1 | 0.0% | |
00224 | 1 | 0.0% | |
00249 | 1 | 0.0% | |
00250 | 1 | 0.0% | |
00256 | 1 | 0.0% | |
00261 | 1 | 0.0% | |
00264 | 1 | 0.0% | |
00300 | 1 | 0.0% | |
00348 | 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.