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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-48RND-SCH18DOT1-VISIT2-1992 / variable [V219]
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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
145475
Downloads
5573
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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-15-General-information-operational-holdings-agricultural-year-visit2-records

Overview

Valid: 34871
Invalid: 0
Type: Discrete
Start: 34
End: 35
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
02 Andhra Pradesh 2086
6%
03 Assam 1445
4.1%
04 Bihar 3284
9.4%
05 Gujarat 1133
3.2%
06 Haryana 522
1.5%
07 Himachal Pradesh 870
2.5%
08 Jammu & Kashmir 674
1.9%
09 Karnataka 1490
4.3%
10 Kerala 1824
5.2%
11 Madhya Pradesh 2692
7.7%
12 Maharashtra 2105
6%
13 Manipur 640
1.8%
14 Meghalaya 498
1.4%
15 Nagaland 331
0.9%
16 Orissa 1377
3.9%
17 Punjab 851
2.4%
18 Rajasthan 1534
4.4%
19 Sikkim 193
0.6%
20 Tamil Nadu 1905
5.5%
21 Tripura 581
1.7%
22 Uttar Pradesh 4582
13.1%
23 West Bengal 2117
6.1%
24 A & N Islands 320
0.9%
25 Arunachal Pradesh 583
1.7%
26 Chandigarh 55
0.2%
27 Dadra & Nagar Haveli 104
0.3%
28 Delhi 50
0.1%
29 Goa 109
0.3%
30 Lakshdweep 93
0.3%
31 Mizoram 616
1.8%
32 Pondicherry 148
0.4%
33 Daman & Diu 59
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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