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
672537
- 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
DISTRICT CODE
(DT)
File: 21 Rajsthan
File: 21 Rajsthan
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 1530585 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
01 | GANGANAGAR | 44655 | 2.9% |
02 | BIKANER | 49178 | 3.2% |
03 | CHURU | 46255 | 3.0% |
04 | JHUNJHUNUN | 48686 | 3.2% |
05 | ALWAR | 73748 | 4.8% |
06 | BHARATPUR | 63638 | 4.2% |
07 | DHOLPUR | 21845 | 1.4% |
08 | SAWAI MADHOPUR | 33114 | 2.2% |
09 | JAIPUR | 146074 | 9.5% |
10 | SIKAR | 57542 | 3.8% |
11 | AJMER | 79110 | 5.2% |
12 | TONK | 39652 | 2.6% |
13 | JAISALMER | 17001 | 1.1% |
14 | JODHPUR | 73996 | 4.8% |
15 | NAGAUR | 66548 | 4.3% |
16 | PALI | 64618 | 4.2% |
17 | BARMER | 37287 | 2.4% |
18 | JALOR | 40637 | 2.7% |
19 | SIROHI | 27094 | 1.8% |
20 | BHILWARA | 77707 | 5.1% |
21 | UDAIPUR | 60372 | 3.9% |
22 | CHITTAURGARH | 59162 | 3.9% |
23 | DUNGARPUR | 18550 | 1.2% |
24 | BANSWARA | 24453 | 1.6% |
25 | BUNDI | 28546 | 1.9% |
26 | KOTA | 50218 | 3.3% |
27 | JHALAWAR | 31219 | 2.0% |
28 | DAUSA | 34465 | 2.3% |
29 | BARAN | 25462 | 1.7% |
30 | RAJSAMAND | 28035 | 1.8% |
31 | HANUMANGARH | 35188 | 2.3% |
32 | KARAULI | 26530 | 1.7% |
33 | 0 | 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.