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    Home / Central Data Catalog / LSMS / VNM_1997_VLSS_V01_M / variable [V991]
lsms

Living Standards Survey 1997-1998

Viet Nam, 1997 - 1998
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Reference ID
VNM_1997_VLSS_v01_M
Producer(s)
General Statistical Office (GSO)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 13, 2016
Last modified
Oct 26, 2023
Page views
975686
Downloads
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  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • SCR00A
  • SCR00B
  • SCR00C
  • SCR01A1
  • SCR01A2
  • SCR01B
  • SCR01C1
  • SCR01C2
  • SCR01D
  • SCR02A
  • SCR02B
  • SCR02C
  • SCR02D
  • SCR02E
  • SCR04A
  • SCR04B1
  • SCR04B2
  • SCR04B3
  • SCR04B4
  • SCR04C
  • SCR04D1
  • SCR04D2
  • SCR04E
  • SCR04F1
  • SCR04F2
  • SCR04F3
  • SCR04G
  • SCR04H
  • SCR05
  • SCR06A
  • SCR06B1
  • SCR06B2
  • SCR06C
  • SCR07
  • SCR08A1
  • SCR08A2
  • SCR08A3
  • SCR08B
  • SCR09A11
  • SCR09A12
  • SCR09A21
  • SCR09A22
  • SCR09A31
  • SCR09A32
  • SCR09A41
  • SCR09A42
  • SCR09A51
  • SCR09A52
  • SCR09A53
  • SCR09B1
  • SCR09B2
  • SCR09B3
  • SCR09B4
  • SCR09B5
  • SCR09B6
  • SCR09C1
  • SCR09C2
  • SCR09D01
  • SCR09D02
  • SCR09D03
  • SCR09D04
  • SCR09D05
  • SCR09D06
  • SCR09D07
  • SCR09D08
  • SCR09D09
  • SCR09D10
  • SCR09D11
  • SCR09D12
  • SCR09D13
  • SCR09E1
  • SCR09E2
  • SCR09F1
  • SCR09F2
  • SCR09G1
  • SCR09G2
  • SCR09H1
  • SCR09H2
  • SCR09J
  • SCR09K
  • SCR09L
  • SCR10A
  • SCR10B
  • SCR10C
  • SCR10D
  • SCR11A
  • SCR11B
  • SCR12A
  • SCR12B
  • SCR12C
  • SCR12D1
  • SCR12D2
  • SCR13A
  • SCR13B
  • SCR14A1
  • SCR14A2
  • SCR14A3
  • SCR14A4
  • SCR14B1
  • SCR14B2
  • SCR14B3
  • SCR14B4
  • SCR14C
  • SCR15
  • SCR031
  • SCR032
  • SCR033
  • SCR034
  • SCR035
  • SCR036
  • SCR100
  • SCR110
  • SCR120
  • SCR130
  • HHEXP98N
  • CMT00A
  • CMT00B
  • CMT00C
  • CMT05
  • CMT011
  • CMT012
  • CMT021
  • CMT21
  • CMT022
  • CMT22
  • CMT23
  • CMT24
  • CMT25
  • CMT30
  • CMT031
  • CMT31
  • CMT032
  • CMT32
  • CMT033
  • CMT33
  • CMT034
  • CMT34
  • CMT035
  • CMT061
  • CMT062
  • CMT063
  • CMT071
  • CMT072
  • CMT073
  • CMT081
  • CMT082
  • CMT083
  • CMT084
  • CMT091
  • CMT092
  • CMT101
  • CMT102
  • CMT103
  • CMT104
  • CMT105
  • CMT106
  • CMT107
  • CMT108
  • CMT109
  • CMT110
  • CMT111
  • CMT112
  • CMT0400
  • CMT0401
  • CMT0402
  • CMT0403
  • CMT0404
  • CMT0405
  • CMT0406
  • CMT0407
  • CMT0408
  • CMT0409
  • CMT0410
  • CMT0411

2. crop code (s9dq2cc)

Data file: SCR09D02

Overview

Valid: 5010
Invalid: 0
Minimum: 1
Maximum: 62
Type: Continuous
Decimal: 0
Start: 10
End: 11
Width: 2
Range: 1 - 62
Format: Numeric

Questions and instructions

Literal question
For which crops?
Categories
Value Category Cases
1 winter rice 944
18.8%
2 autumn rice 195
3.9%
3 winter rice 727
14.5%
4 swidden rice 0
0%
5 annual rice 136
2.7%
6 glutinous rice 121
2.4%
7 specialty rice 8
0.2%
8 corn/maize 576
11.5%
9 sweet potatoes 140
2.8%
10 cassava/manioc 19
0.4%
11 other staple crops 4
0.1%
12 potatoes 75
1.5%
13 kohlrabi, cabbage, cauliflower 382
7.6%
14 other leafy greens 226
4.5%
15 tomatoes 52
1%
16 water morning glory 211
4.2%
17 fresh legumes (beans) 43
0.9%
18 dried legumes (beans) 115
2.3%
19 herbs and spices 55
1.1%
20 other vegetables, tubers and fruits 217
4.3%
21 soy beans 64
1.3%
22 peanuts 294
5.9%
23 sesame seeds 11
0.2%
24 sugar cane 97
1.9%
25 tobacco 33
0.7%
26 cotton 3
0.1%
27 jute, ramie 6
0.1%
28 rush (for making mats) 0
0%
29 other annual industrial crops 0
0%
30 other annual crops 10
0.2%
31 tea 1
0%
32 coffee 15
0.3%
33 rubber 3
0.1%
34 black pepper 15
0.3%
35 coconut (for oil, copra) 1
0%
36 mulberry 0
0%
37 cashew 2
0%
38 other perennial industrial crops 0
0%
39 oranges, limes and mandarins 24
0.5%
40 pineapple 2
0%
41 bananas 1
0%
42 mango 14
0.3%
43 apple 11
0.2%
44 grapesplum 0
0%
45 papaya 6
0.1%
46 litchi, longan, rambutan 3
0.1%
47 sapodilla 69
1.4%
48 custard apple 13
0.3%
49 custard apple 12
0.2%
50 jackfruit, durian 7
0.1%
51 mangosteen 1
0%
52 other fruit trees 23
0.5%
53 Mu oil tree 0
0%
54 cinnamon tree 4
0.1%
55 anise tree 1
0%
56 pine tree 0
0%
57 varnish tree 0
0%
58 tree for wood 11
0.2%
59 bamboo 0
0%
60 fan palm tree 0
0%
61 water coconut palm 0
0%
62 other silviculture tree 7
0.1%
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.
Interviewer instructions
List the crops with their codes.
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