India - Trade Survey: NSS 53rd Round, Schedule 2.41.2, January 1997 - December 1997
Reference ID | DDI-IND-MOSPI-NSSO-53Rnd-Sch2dot41dot2-1997 |
Year | 1997 |
Country | India |
Producer(s) | National Sample Survey Office |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Jul 28, 2016
Last modified
Sep 02, 2016
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181867
- Block-1-ID Particula
rts of Enterprises-R
ecords - Block-2-Enterprise-O
peration-Information
-Records - Block-3-Employment-i
n-enterprise-Records - Block-4-Commodity_pu
rchased-sold-Records - Block-5-Expenditure-
profit-Records - Block-6-Gross-value-
added-enterprise-Rec
ords - Block-7-Trade-Margin
-commodity-Records - Block-8-Records
State
(State)
File: Block-8-Records
File: Block-8-Records
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 154281 Invalid: 0 |
As given in dataset of Block-1
Questions and instructions
Value | Category | Cases | |
---|---|---|---|
02 | Andhra Pradesh | 12006 | 7.8% |
03 | Arunachal Pradesh | 384 | 0.2% |
04 | Assam | 4436 | 2.9% |
05 | Bihar | 12237 | 7.9% |
06 | Goa | 359 | 0.2% |
07 | Gujarat | 6854 | 4.4% |
08 | Haryana | 4019 | 2.6% |
09 | Himachal Pradesh | 1018 | 0.7% |
10 | Jammu & Kashmir | 767 | 0.5% |
11 | Karnataka | 8758 | 5.7% |
12 | Kerala | 6779 | 4.4% |
13 | Madhya Pradesh | 9696 | 6.3% |
14 | Maharashtra | 12427 | 8.1% |
15 | Manipur | 665 | 0.4% |
16 | Meghalaya | 391 | 0.3% |
17 | Mizoram | 361 | 0.2% |
18 | Nagaland | 813 | 0.5% |
19 | Orissa | 7262 | 4.7% |
20 | Punjab | 5786 | 3.8% |
21 | Rajasthan | 7424 | 4.8% |
22 | Sikkim | 464 | 0.3% |
23 | Tamil Nadu | 12067 | 7.8% |
24 | Tripura | 744 | 0.5% |
25 | Uttar Pradesh | 23715 | 15.4% |
26 | West Bengal | 11846 | 7.7% |
27 | A & N Islands | 209 | 0.1% |
28 | Chandigarh | 384 | 0.2% |
29 | Dadra & Nagar Haveli | 192 | 0.1% |
30 | Daman & Diu | 245 | 0.2% |
31 | Delhi | 1434 | 0.9% |
32 | Lakshdweep | 118 | 0.1% |
33 | Pondicherry | 421 | 0.3% |
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.
As given in dataset of Block-1