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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-70RND-SCH33-VISIT2-JAN-DEC2013 / variable [V2880]
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Situation Assessment survey of Agricultural households, NSS 70th Round : Jan - Dec 2013 : Visit 2

India, 2013
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Reference ID
DDI-IND-MOSPI-NSSO-70Rnd-Sch33-visit2-Jan-Dec2013
Producer(s)
National Sample Survey Office
Collections
Other Surveys
Metadata
DDI/XML JSON
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
317622
Downloads
16484
  • Study Description
  • Data Dictionary
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  • Data files
  • Visit 2_Block
    1&2_identification
    of sample
    household and
    particulars of
    field
    operations
  • Visit 2_Block
    4_demographic
    and other
    particulars of
    household
    members
  • Visit 2_Block
    5a_value of
    output for the
    crops produced
    during July to
    December
  • Visit 2_Block
    5a_value of
    output for the
    crops produced
    during July to
    December
  • Visit 2_Block
    5b_disposition
    of crops
    produced during
    July to
    December 2012
  • Visit 2_Block
    5b_disposition
    of crops
    produced during
    July to
    December 2012
  • Visit 2_Block
    6_ particulars
    of inputs and
    their expenses
    for crop
    production
    during July
  • Visit 2_Block
    8_expenses and
    other
    particulars of
    input on
    farming of
    animals during
    last 30 days
  • Visit 2_Block
    10_purchase and
    sale of
    productive
    assets during
    July to
    December 2012
  • Visit 2_Block
    9_expenses and
    value of
    outputs for
    non-farm
    business during
    last 30 days
  • Visit 2_Block
    12_household
    consumer
    expenditure (Rs
  • Visit 2_Block
    13_awareness
    about Minimum
    Support Price
    (MSP)
  • Visit 2_Block
    14__access to
    technical
    advice for any
    of the crops
    listed in Block
    [5a]
  • Visit 2_Block
    15_particulars
    of other
    aspects of
    farming during
    July to
    December 2012
  • Visit 2_Block
    7_disposition
    of produce and
    value of
    outputs on
    farming of
    animals during
    last 30 days

Crop code (b6_q4)

Data file: Visit 2_Block 6_ particulars of inputs and their expenses for crop production during July

Overview

Valid: 47287
Invalid: 0
Type: Discrete
Width: 4
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
(arhar) 0
0%
(guar) 0
0%
0101 paddy 4175
8.8%
0102 jowar 533
1.1%
0103 bajra 134
0.3%
0104 maize 1297
2.7%
0105 ragi 99
0.2%
0106 wheat 10936
23.1%
0107 barley 383
0.8%
0108 small millets 27
0.1%
0111 1
0%
0188 other cereals 35
0.1%
0201 gram 2198
4.6%
0202 tur 496
1%
0203 urad 349
0.7%
0204 moong 658
1.4%
0205 masur 782
1.7%
0206 horsegram 65
0.1%
0207 91
0.2%
0208 peas (pulses) 417
0.9%
0288 other pulses 306
0.6%
0401 sugarcane 811
1.7%
0402 1
0%
0488 other sugar crops 1
0%
0501 pepper (black) 266
0.6%
0502 chillies 230
0.5%
0503 323
0.7%
0504 turmeric 87
0.2%
0505 cardamom (small) 16
0%
0506 4
0%
0507 betelnuts (arecanuts) 787
1.7%
0508 garlic 431
0.9%
0509 123
0.3%
0510 tamarind 38
0.1%
0511 cumin seed 49
0.1%
0512 fennel / anise seed 9
0%
0513 nutmeg 44
0.1%
0514 fenugreek 19
0%
0515 cloves 3
0%
0516 cinnamon 3
0%
0517 28
0.1%
0518 kacholam 0
0%
0519 beetlvine 47
0.1%
0588 othercondi. & spices 5
0%
0601 340
0.7%
0602 orange and kinu 39
0.1%
0603 mosambi 4
0%
0604 lemon / acid lime 40
0.1%
0605 othercitrous fruits 6
0%
0606 banana 790
1.7%
0607 table grapes 7
0%
0608 wine 0
0%
0609 apple 4
0%
0610 pear 4
0%
0611 peaches 0
0%
0612 plum 10
0%
0613 kiwi 0
0%
0614 chiku 6
0%
0615 papaya 41
0.1%
0616 guava 27
0.1%
0617 almond 0
0%
0618 walnut 0
0%
0619 cashewnuts 155
0.3%
0620 apricot 1
0%
0621 jackfruit 86
0.2%
0622 lichi 5
0%
0623 24
0.1%
0624 watermelon 26
0.1%
0625 musk melon 5
0%
0626 bread fruits 0
0%
0627 5
0%
0628 bel 4
0%
0629 mulberry (sahatoot) 13
0%
0630 aonla (amla) 1
0%
0688 other 39
0.1%
0701 potato 2287
4.8%
0702 tapioca (cassava) 142
0.3%
0703 sweet potato 35
0.1%
0704 yam 73
0.2%
0705 elephant 41
0.1%
0706 colocasia/arum 69
0.1%
0707 other tuber crop 10
0%
0708 onion 525
1.1%
0709 carrot 41
0.1%
0710 radish 146
0.3%
0711 beetroot 12
0%
0712 turnip (shalgam) 14
0%
0713 tomato 612
1.3%
0714 72
0.2%
0715 amaranths (chaulai) 5
0%
0716 cabbage 452
1%
0717 other 1284
2.7%
0718 brinjal 680
1.4%
0719 peas (vegetable) (green) 377
0.8%
0720 lady's 240
0.5%
0721 cauliflower 219
0.5%
0722 cucumber 141
0.3%
0723 bottle gourd (lauki) 94
0.2%
0724 pumpkin 237
0.5%
0725 bitter gourd 93
0.2%
0726 other gourds 66
0.1%
0727 vench 11
0%
0728 beans (green) 320
0.7%
0729 drumstick 60
0.1%
0730 green chillies 258
0.5%
0788 other 823
1.7%
0801 other food crop 33
0.1%
1001 groundnut 393
0.8%
1002 castorseed 108
0.2%
1003 274
0.6%
1004 rapeseed& mustard 3271
6.9%
1005 linseed 56
0.1%
1006 coconut 1588
3.4%
1007 sunflower 49
0.1%
1008 safflower 17
0%
1009 soyabean 17
0%
1010 3
0%
1011 oil palm 4
0%
1088 other oilseeds 114
0.2%
1101 cotton 458
1%
1102 jute 94
0.2%
1103 0
0%
1104 sunhemp 2
0%
1188 other fibres 1
0%
1201 indigo 0
0%
1288 other 5
0%
1301 opium 3
0%
1302 tobacco 70
0.1%
1388 other drugs & 8
0%
1401 guar 16
0%
1402 oats 50
0.1%
1403 green manures 4
0%
1488 other fodder crops 1976
4.2%
1501 tea 110
0.2%
1502 coffee 110
0.2%
1503 rubber 362
0.8%
1588 other plantation crops 30
0.1%
1601 3
0%
1602 rose 11
0%
1603 gladiolus 1
0%
1604 carnation 1
0%
1605 11
0%
1688 other flowers 78
0.2%
1701 asgandh 0
0%
1702 isabgol 43
0.1%
1703 0
0%
1704 moosli 0
0%
1705 other medicinal plant 5
0%
1711 lemon grass 0
0%
1712 5
0%
1713 menthol 227
0.5%
1714 eucalyptus 3
0%
1715 other aromatic plant 2
0%
1801 0
0%
1802 bamboos 117
0.2%
1888 other non-food crops 126
0.3%
beans (pulses) 0
0%
ber 0
0%
canes 0
0%
cardamom (large) 0
0%
cocoa 0
0%
coriander 0
0%
dyes & tan.materials 0
0%
finger (bhindi) 0
0%
foot yam 0
0%
fruit 0
0%
fruits 0
0%
ginger 0
0%
grapes (black) 0
0%
leafy vegetable 0
0%
mangoes 0
0%
marigold 0
0%
mesta 0
0%
mint 0
0%
narcotics 0
0%
nigerseed 0
0%
orchids 0
0%
palmvriah 0
0%
pineapple 0
0%
sena 0
0%
sesamum (til) 0
0%
spinach 0
0%
vegetables 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.
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