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    Home / Central Data Catalog / DDI-IND-MOSPI-6-EC-2013-14 / variable [V2537]
central

Sixth Economic Census 2013-14

India
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Reference ID
DDI-IND-MOSPI-6-EC-2013-14
Producer(s)
Central Statistics Office
Collections
Economic Census
Metadata
DDI/XML JSON
Created on
Jan 15, 2018
Last modified
Mar 26, 2019
Page views
609107
Downloads
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  • Data files
  • EC6A_ST02_HIMACHAL_PRADESH
  • EC6A_ST03_PUNJAB
  • EC6A_ST04_CHANDIGARH
  • EC6A_ST05_UTTARAKHAND
  • EC6A_ST06_HARYANA
  • EC6A_ST07_DELHI
  • EC6A_ST08_RAJASTHAN
  • EC6A_ST09_UTTAR_PRADESH
  • EC6A_ST10_BIHAR
  • EC6A_ST11_SIKKIM
  • EC6A_ST12_ARUNACHAL_PRADESH
  • EC6A_ST13_NAGALAND
  • EC6A_ST14_MANIPUR
  • EC6A_ST15_MIZORAM
  • EC6A_ST16_TRIPURA
  • EC6A_ST17_MEGHALAYA
  • EC6A_ST18_ASSAM
  • EC6A_ST19_WEST_BENGAL
  • EC6A_ST20_JHARKHAND
  • EC6A_ST21_ODISHA
  • EC6A_ST22_CHHATTISHGARH
  • EC6A_ST23_MADHYA_PRADESH
  • EC6A_ST24_GUJARAT
  • EC6A_ST25_DAMAN_AND_DIU
  • EC6A_ST26_D_AND_N_HAVELI
  • EC6A_ST27_MAHARASHTRA
  • EC6A_ST29_KARNATAKA
  • EC6A_ST30_GOA
  • EC6A_ST31_LAKSHADWEEP
  • EC6A_ST32_KERALA
  • EC6A_ST33_TAMILNADU
  • EC6A_ST34_PUDUCHERRY
  • EC6A_ST35_A_AND_N_ISLANDS
  • EC6A_ST36_TELANGANA
  • EC6A_ST37_ANDHRA_PRADESH
  • EC6A_ST01_JAMMU_AND_KASHMIR

District (District)

Data file: EC6A_ST22_CHHATTISHGARH

Overview

Valid: 773661
Invalid: 0
Type: Discrete
Start: 4
End: 7
Width: 4
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
2201 01 - Koriya 14442
1.9%
2202 02 - Surguja 35420
4.6%
2203 03 - Jashpur 13824
1.8%
2204 04 - Raigarh 29946
3.9%
2205 05 - Korba 118335
15.3%
2206 06 - Janjgir - Champa 31505
4.1%
2207 07 - Bilaspur 55132
7.1%
2208 08 - Kabeerdham 48496
6.3%
2209 09 - Rajnandgaon 42900
5.5%
2210 10 - Durg 88570
11.4%
2211 11 - Raipur 107660
13.9%
2212 12 - Mahasamund 22910
3%
2213 13 - Dhamtari 22491
2.9%
2214 14 - Uttar Bastar Kanker 69803
9%
2215 15 - Bastar 28007
3.6%
2216 16 - Narayanpur 2345
0.3%
2217 17 - Dakshin Bastar Dantewada 39353
5.1%
2218 18 - Bijapur 2522
0.3%
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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