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    Home / Central Data Catalog / ENT / IND-NSSO-51-RND-SCH2.2-UM-1995 / variable [V245]
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
445370
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-PRODUCTS AND BYPRODUCTS

Overview

Valid: 142932
Invalid: 0
Minimum: 2.0
Maximum: 33.0
Mean: 14.95264181568858
Standard deviation: 8.613647441841833
Type: Discrete
Width: 5
Format: Numeric

Questions and instructions

Literal question
State Code
Categories
Value Category Cases
2 Andhra Pradesh 13829
9.7%
3 Arunachal Pradesh 223
0.2%
4 Assam 6854
4.8%
5 Bihar 18317
12.8%
6 Goa 492
0.3%
7 Gujarat 1993
1.4%
8 Haryana 1566
1.1%
9 Himachal Pradesh 1349
0.9%
10 Jammu & Kashmir 729
0.5%
11 Karnataka 6847
4.8%
12 Kerala 5654
4%
13 Madhya Pradesh 8488
5.9%
14 Maharashtra 6963
4.9%
15 Manipur 2674
1.9%
16 Meghalaya 1721
1.2%
17 Mizoram 660
0.5%
18 Nagaland 1828
1.3%
19 Orissa 11157
7.8%
20 Punjab 1284
0.9%
21 Rajasthan 4436
3.1%
22 Sikkim 143
0.1%
23 Tamil Nadu 6493
4.5%
24 Tripura 6612
4.6%
25 Uttar Pradesh 15054
10.5%
26 West Bengal 16114
11.3%
27 A & N Islands 892
0.6%
28 Chandigarh 122
0.1%
29 Dadra & Nagar Haveli 101
0.1%
30 Daman & Diu 108
0.1%
31 Delhi 132
0.1%
32 Lakshdweep 8
0%
33 Pondicherry 89
0.1%
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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