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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / IND_2003_LLHS-W1_V01_EN_M_V01_A_OCS / variable [F7]
agricultural-surveys

Land and Livestock Holding Survey (Visit 1), 2003

India, 2003
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Reference ID
IND_2003_LLHS-W1_v01_EN_M_v01_A_OCS
Producer(s)
National Sample Survey Office
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 14, 2020
Last modified
Apr 14, 2020
Page views
16097
Downloads
885
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Block-1-identification
    of sample
    household-records-visit-1
  • Block-4-demographic-other-particulars-members-records-visit-1
  • Block-5-particulars-land-household-records-visit-1
  • Block-6-general-information-operational-holdings-Kharif-records-visit-1
  • Block-7-cattle-buffaloes-owned-records-visit-1
  • Block-8-other-livestock-poultry-owned-recordsvisit-1
  • Block-3-household
    characteristics-records-visit-1

state code (state)

Data file: Block-8-other-livestock-poultry-owned-recordsvisit-1

Overview

Valid: 23332
Invalid: 0
Type: Discrete
Start: 31
End: 32
Width: 2
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
01 Jammu & Kashmir 578
2.5%
02 Himachal Pradesh 304
1.3%
03 Punjab 102
0.4%
04 Chandigarh 2
0%
05 Uttaranchal 95
0.4%
06 Haryana 86
0.4%
07 Delhi 15
0.1%
08 Rajasthan 3811
16.3%
09 Uttar Pradesh 1626
7%
10 Bihar 821
3.5%
11 Sikkim 353
1.5%
12 Arunachal Pradesh 487
2.1%
13 Nagaland 332
1.4%
14 Manipur 770
3.3%
15 Mizoram 577
2.5%
16 Tripura 551
2.4%
17 Meghalaya 530
2.3%
18 Assam 1716
7.4%
19 West Bengal 1806
7.7%
20 Jharkhand 697
3%
21 Orissa 571
2.4%
22 Chhattisgarh 294
1.3%
23 Madhya Pradesh 524
2.2%
24 Gujrat 2561
11%
25 Daman & Diu 121
0.5%
26 Dadra & Nagar Haveli 192
0.8%
27 Maharastra 879
3.8%
28 Andhra Pardesh 739
3.2%
29 Karnataka 442
1.9%
30 Goa 14
0.1%
31 Lakshadweep 63
0.3%
32 Kerala 747
3.2%
33 Tamil Nadu 825
3.5%
34 Pondicheri 30
0.1%
35 Andaman & Nicober 71
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.
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