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    Home / Central Data Catalog / IND-NSSO-51-RND-SCH2.2-UM-1995 / variable [V743]
central

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
363343
Downloads
9811
  • 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-OUTSTANDING LOAN

Overview

Valid: 25998
Invalid: 0
Type: Discrete
Decimal: 2
Start: 81
End: 85
Width: 5
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category Cases
2 Andhra Pradesh 2908
11.2%
3 Arunachal Pradesh 6
0%
4 Assam 827
3.2%
5 Bihar 1531
5.9%
6 Goa 83
0.3%
7 Gujarat 899
3.5%
8 Haryana 629
2.4%
9 Himachal Pradesh 490
1.9%
10 Jammu & Kashmir 127
0.5%
11 Karnataka 2234
8.6%
12 Kerala 1060
4.1%
13 Madhya Pradesh 1035
4%
14 Maharashtra 2499
9.6%
15 Manipur 74
0.3%
16 Meghalaya 27
0.1%
17 Mizoram 6
0%
18 Nagaland 54
0.2%
19 Orissa 688
2.6%
20 Punjab 883
3.4%
21 Rajasthan 769
3%
22 Sikkim 24
0.1%
23 Tamil Nadu 2773
10.7%
24 Tripura 491
1.9%
25 Uttar Pradesh 3167
12.2%
26 West Bengal 2245
8.6%
27 A & N Islands 246
0.9%
28 Chandigarh 38
0.1%
29 Dadra & Nagar Haveli 36
0.1%
30 Daman & Diu 43
0.2%
31 Delhi 56
0.2%
32 Lakshdweep 0
0%
33 Pondicherry 50
0.2%
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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