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    Home / Central Data Catalog / ENT / IND-NSSO-51-RND-SCH2.2-UM-1995 / variable [V102]
ENT

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
Feb 19, 2026
Page views
444840
Downloads
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  • R-EMPLOYMENT
    AND EMOLUMENTS
  • R-FIXED
    ASSETS-RC1
  • R-FIXED
    ASSETS-RC2
  • R-GROSS VALUE
    ADDED
  • R-IDENTIFICATION
  • R-OPERATION
    INFORMATION
  • R-OTHER INPUTS
  • R-OUTSTANDING
    LOAN
  • R-PRODUCTS AND
    BYPRODUCTS
  • R-RAW MATERIALS
    AND FUELS
  • R-WORKING
    CAPITAL
  • U-EMPLOYMENT
    AND EMOLUMENTS
  • U-FIXED
    ASSETS-RC1
  • U-FIXED
    ASSETS-RC2
  • U-GROSS VALUE
    ADDED
  • U-IDENTIFICATION
  • U-OPERATION
    INFORMATION
  • U-OTHER INPUTS
  • U-OUTSTANDING
    LOAN
  • U-PRODUCTS AND
    BYPRODUCTS
  • U-RAW MATERIALS
    AND FUELS
  • U-WORKING
    CAPITAL

State Code (ST_CD)

Data file: R-GROSS VALUE ADDED

Overview

Valid: 555312
Invalid: 0
Minimum: 2.0
Maximum: 33.0
Mean: 16.41441567983404
Standard deviation: 8.573701190960602
Type: Discrete
Width: 5
Format: Numeric

Questions and instructions

Literal question
State Code
Categories
Value Category Cases
2 Andhra Pradesh 43892
7.9%
3 Arunachal Pradesh 534
0.1%
4 Assam 16346
2.9%
5 Bihar 55712
10%
6 Goa 856
0.2%
7 Gujarat 16076
2.9%
8 Haryana 7281
1.3%
9 Himachal Pradesh 9217
1.7%
10 Jammu & Kashmir 4909
0.9%
11 Karnataka 24265
4.4%
12 Kerala 19104
3.4%
13 Madhya Pradesh 25118
4.5%
14 Maharashtra 26035
4.7%
15 Manipur 3964
0.7%
16 Meghalaya 2498
0.4%
17 Mizoram 651
0.1%
18 Nagaland 3691
0.7%
19 Orissa 31444
5.7%
20 Punjab 12964
2.3%
21 Rajasthan 16720
3%
22 Sikkim 888
0.2%
23 Tamil Nadu 60664
10.9%
24 Tripura 8994
1.6%
25 Uttar Pradesh 91011
16.4%
26 West Bengal 68070
12.3%
27 A & N Islands 2019
0.4%
28 Chandigarh 409
0.1%
29 Dadra & Nagar Haveli 663
0.1%
30 Daman & Diu 410
0.1%
31 Delhi 627
0.1%
32 Lakshdweep 51
0%
33 Pondicherry 229
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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