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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [V1785]
central

Fourth Economic Census 1998

India
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Reference ID
IDDI-IND-MOSPI-4-EC-1998
Producer(s)
Central Statistical Organisation(CSO)
Collections
Economic Census
Metadata
DDI/XML JSON
Created on
Jan 16, 2018
Last modified
Mar 29, 2019
Page views
769034
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  • Study Description
  • Data Dictionary
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  • Data files
  • 02 Andhra
    Pradesh
  • 04 Assam
  • 05 Bihar
  • 03 Arunachal
    Pradesh
  • 06 Goa
  • 07 Gujarat
  • 08 Haryana
  • 09 HP
  • 10 J&K
  • 12 Kerala
  • 13 Madhya
    Pradesh
  • 11 Karnataka
  • 14 Maharashtra
  • 15 Manipur
  • 16 Meghalaya
  • 17 Mizoram
  • 18 Nagaland
  • 19 Orissa
  • 20 Punjab
  • 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
  • 21 Rajsthan

DISTRICT CODE (DT)

Data file: 05 Bihar

Overview

Valid: 1043864
Invalid: 0
Type: Discrete
Start: 21
End: 22
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 PATNA 126269
12.1%
02 NALANDA 42429
4.1%
03 BHOJPUR 30298
2.9%
04 ROHTAS 32895
3.2%
05 AURANGABAD 22053
2.1%
06 JEHANABAD 13881
1.3%
07 GAYA 47868
4.6%
08 NAWADA 18687
1.8%
09 SARAN 40657
3.9%
10 SIWAN 38461
3.7%
11 GOPALGANJ 21650
2.1%
12 PASHCHIM CHAMPARAN 46556
4.5%
13 PURBA CHAMPARAN 36612
3.5%
14 SITAMARHI 27465
2.6%
15 MUZAFFARPUR 46558
4.5%
16 VAISHALI 31266
3%
17 BEGUSARAI 25839
2.5%
18 SAMASTIPUR 47014
4.5%
19 DARBHANGA 35573
3.4%
20 MADHUBANI 33917
3.2%
21 SAHARSA 13902
1.3%
22 MADHEPURA 15260
1.5%
23 PURNIA 27788
2.7%
24 KATIHAR 29134
2.8%
25 KHAGARIA 13574
1.3%
26 MUNGER 16704
1.6%
27 BHAGALPUR 35795
3.4%
41 ARARIA 19071
1.8%
42 KISHANGANJ 15310
1.5%
43 BUXAR 12040
1.2%
44 BHABHUA 12587
1.2%
45 SUPAUL 19206
1.8%
46 JAMUI 14754
1.4%
47 BANKA 14037
1.3%
53 LAKHISARAI 8546
0.8%
54 SHEKHPURA 6223
0.6%
55 SHIVHAR 3985
0.4%
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.
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