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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-48RND-SCH18DOT1-VISIT2-1992 / variable [V176]
central

Land and Livestock Holdings Survey: NSS 48th Round : January - December 1992:Visit-2

India
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Reference ID
DDI-IND-MOSPI-NSSO-48Rnd-Sch18dot1-visit2-1992
Producer(s)
National Sample Survey Office
Collections
Land and Livestock Holding Surveys
Metadata
DDI/XML JSON
Created on
Jan 16, 2018
Last modified
Mar 25, 2019
Page views
137130
Downloads
5405
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  • Data files
  • Block-1-5-household-characterisics--visit2-records
  • Block-5dot1-Partitioned
    household-visit2-records
  • Block-9-Particulars-Plots-RABI-visit2-records
  • Block-9dot1-Particulars-plots-not-included-in-RABI-visit2-records
  • Block-10-General-information-operational-holdings-RABI-visit2-records
  • Block-14-Particulars-operational-holdings-agricultural-year-visit2-records
  • Block-15-General-information-operational-holdings-agricultural-year-visit2-records
  • Block-16-Type-of-wood-records

State (State)

Data file: Block-14-Particulars-operational-holdings-agricultural-year-visit2-records

Overview

Valid: 155989
Invalid: 0
Type: Discrete
Start: 37
End: 38
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
02 Andhra Pradesh 9104
5.8%
03 Assam 5231
3.4%
04 Bihar 16744
10.7%
05 Gujarat 4688
3%
06 Haryana 1916
1.2%
07 Himachal Pradesh 4924
3.2%
08 Jammu & Kashmir 3018
1.9%
09 Karnataka 5855
3.8%
10 Kerala 6498
4.2%
11 Madhya Pradesh 14699
9.4%
12 Maharashtra 8905
5.7%
13 Manipur 1766
1.1%
14 Meghalaya 1869
1.2%
15 Nagaland 1291
0.8%
16 Orissa 7010
4.5%
17 Punjab 3316
2.1%
18 Rajasthan 7217
4.6%
19 Sikkim 902
0.6%
20 Tamil Nadu 7469
4.8%
21 Tripura 1978
1.3%
22 Uttar Pradesh 22561
14.5%
23 West Bengal 12205
7.8%
24 A & N Islands 921
0.6%
25 Arunachal Pradesh 2131
1.4%
26 Chandigarh 191
0.1%
27 Dadra & Nagar Haveli 463
0.3%
28 Delhi 195
0.1%
29 Goa 349
0.2%
30 Lakshdweep 273
0.2%
31 Mizoram 1607
1%
32 Pondicherry 411
0.3%
33 Daman & Diu 282
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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