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    Home / Central Data Catalog / IND-NSSO-51-RND-SCH2.2-UM-1995 / variable [F24]
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Unorganised Manufcture, July 1994-June 1995
NSS 51st Round

India, 1994 - 1995
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Reference ID
IND-NSSO-51-Rnd-Sch2.2-UM-1995
Producer(s)
NSSO
Collections
Enterprises Surveys
Metadata
DDI/XML JSON
Created on
Jan 17, 2018
Last modified
Mar 27, 2019
Page views
370618
Downloads
9903
  • Study Description
  • Data Dictionary
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  • Data files
  • R-IDENTIFICATION
  • R-OPERATION
    INFORMATION
  • R-WORKING
    CAPITAL
  • R-OUTSTANDING
    LOAN
  • R-EMPLOYMENT
    AND EMOLUMENTS
  • R-RAW MATERIALS
    AND FUELS
  • R-OTHER INPUTS
  • R-PRODUCTS AND
    BYPRODUCTS
  • R-GROSS VALUE
    ADDED
  • R-FIXED
    ASSETS-RC1
  • R-FIXED
    ASSETS-RC2
  • U-IDENTIFICATION
  • U-OPERATION
    INFORMATION
  • U-WORKING
    CAPITAL
  • U-OUTSTANDING
    LOAN
  • U-EMPLOYMENT
    AND EMOLUMENTS
  • U-RAW MATERIALS
    AND FUELS
  • U-OTHER INPUTS
  • U-PRODUCTS AND
    BYPRODUCTS
  • U-GROSS VALUE
    ADDED
  • U-FIXED
    ASSETS-RC1
  • U-FIXED
    ASSETS-RC2

State Code (ST_CD)

Data file: R-FIXED ASSETS-RC1

Overview

Valid: 711730
Invalid: 0
Type: Discrete
Decimal: 2
Start: 120
End: 124
Width: 5
Range: -
Format: Numeric

Questions and instructions

Literal question
State Code
Categories
Value Category Cases
2 Andhra Pradesh 59519
8.4%
3 Arunachal Pradesh 982
0.1%
4 Assam 22387
3.1%
5 Bihar 69806
9.8%
6 Goa 1175
0.2%
7 Gujarat 20096
2.8%
8 Haryana 8492
1.2%
9 Himachal Pradesh 10707
1.5%
10 Jammu & Kashmir 6372
0.9%
11 Karnataka 30811
4.3%
12 Kerala 22575
3.2%
13 Madhya Pradesh 32002
4.5%
14 Maharashtra 31077
4.4%
15 Manipur 6955
1%
16 Meghalaya 3459
0.5%
17 Mizoram 859
0.1%
18 Nagaland 5265
0.7%
19 Orissa 42327
5.9%
20 Punjab 15648
2.2%
21 Rajasthan 22326
3.1%
22 Sikkim 957
0.1%
23 Tamil Nadu 74042
10.4%
24 Tripura 10795
1.5%
25 Uttar Pradesh 119179
16.7%
26 West Bengal 88857
12.5%
27 A & N Islands 2237
0.3%
28 Chandigarh 413
0.1%
29 Dadra & Nagar Haveli 794
0.1%
30 Daman & Diu 581
0.1%
31 Delhi 643
0.1%
32 Lakshdweep 64
0%
33 Pondicherry 328
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.
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