India - Annual Survey of Industries 2008-09
Reference ID | IND-CSO-ASI-2008-09-v1 |
Year | 2009 - 2010 |
Country | India |
Producer(s) | Central Statistics Office (Industrial Statistics Wing) - Ministry of Statistics and PI, Government of India |
Sponsor(s) | MOSPI, Government of India - GOI - |
Collection(s) |
Created on
Jan 12, 2018
Last modified
Mar 26, 2019
Page views
110866
State
(A_Itm7)
File: A-IDENTIFICATION PARTICULARS
File: A-IDENTIFICATION PARTICULARS
Overview
Type:
Discrete Format: numeric Width: 2 Decimals: 0 Range: 1-35 | Valid cases: 54348 Invalid: 0 Minimum: 1 Maximum: 35 |
Questions and instructions
State code for the States of India
The code has been provided for all the selected factories both under Census Sector and the Sample Sector and the same is to be reported by the field staff of FOD both in Parts I & II. These items will be copied from the sample list.
Value | Category | Cases | |
---|---|---|---|
1 | Jammu & Kashmir | 389 | 0.7% |
2 | Himachal Pradesh | 856 | 1.6% |
3 | Punjab | 2843 | 5.2% |
4 | Chandigarh(U.T.) | 183 | 0.3% |
5 | Uttaranchal | 868 | 1.6% |
6 | Haryana | 2038 | 3.7% |
7 | Delhi | 1166 | 2.1% |
8 | Rajasthan | 1792 | 3.3% |
9 | Uttar Pradesh | 3739 | 6.9% |
10 | Bihar | 583 | 1.1% |
11 | Sikkim | 0 | 0.0% |
12 | Arunachal Pradesh | 0 | 0.0% |
13 | Nagaland | 110 | 0.2% |
14 | Manipur | 90 | 0.2% |
15 | Mizoram | 0 | 0.0% |
16 | Tripura | 411 | 0.8% |
17 | Meghalaya | 98 | 0.2% |
18 | Assam | 866 | 1.6% |
19 | West Bengal | 2090 | 3.8% |
20 | Jharkhand | 719 | 1.3% |
21 | Orissa | 680 | 1.3% |
22 | Chattisgarh | 669 | 1.2% |
23 | Madhya Pradesh | 1228 | 2.3% |
24 | Gujarat | 5094 | 9.4% |
25 | Daman & Diu | 622 | 1.1% |
26 | Dadra & Nagar Haveli | 511 | 0.9% |
27 | Maharashtra | 6857 | 12.6% |
28 | Andhra Pradesh | 4950 | 9.1% |
29 | Karnataka | 3058 | 5.6% |
30 | Goa | 365 | 0.7% |
31 | Lakshadweep | 0 | 0.0% |
32 | Kerala | 1840 | 3.4% |
33 | Tamil Nadu | 9162 | 16.9% |
34 | Pondicherry | 445 | 0.8% |
35 | Andaman & N. Island | 26 | 0.0% |
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.