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    Home / Central Data Catalog / LSMS / VNM_1992_VLSS_V01_M / variable [F39]
lsms

Living Standards Survey 1992-1993

Viet Nam, 1992 - 1993
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Reference ID
VNM_1992_VLSS_v01_M
Producer(s)
General Statistical Office (GSO), State Planning Committee (SPC)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 06, 2014
Last modified
Oct 26, 2023
Page views
227622
Downloads
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  • Study Description
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  • Data files
  • HHEXPEND
  • SECT00A
  • SECT00B
  • SECT01A
  • SECT01B
  • SECT01C
  • SECT02
  • SECT03
  • SECT04A
  • SECT04B
  • SECT04C
  • SECT04D
  • SECT04E
  • SECT04F
  • SECT04G
  • SECT04H
  • SECT05A
  • SECT06
  • SECT07
  • SECT08
  • SECT08A
  • SECT08B
  • SECT09
  • SECT09A0
  • SECT09A1
  • SECT09A2
  • SECT09A3
  • SECT09A4
  • SECT09A5
  • SECT09A6
  • SECT09B1
  • SECT09B2
  • SECT09B3
  • SECT09B4
  • SECT09B5
  • SECT09B6
  • SECT09C
  • SECT09D1
  • SECT09D2
  • SECT09D3
  • SECT09D4
  • SECT09D5
  • SECT09D6
  • SECT09D7
  • SECT09D8
  • SECT09D9
  • SECT09E1
  • SECT09F1
  • SECT09G
  • SECT09H
  • SECT09J
  • SECT09L
  • SECT10
  • SECT10B
  • SECT10D
  • SECT11A
  • SECT11B
  • SECT12A
  • SECT12B
  • SECT12C
  • SECT12D
  • SECT13A
  • SECT13B
  • SECT14A
  • SECT14B
  • SECT14C
  • SECT15
  • SECTSKIP
  • COMCROP
  • COMCULT
  • COMGENL
  • COMGOV
  • COMHLTH
  • COMINTV
  • COMLAND
  • COMLNDQ
  • COMSCH
  • PRICE0
  • PRICE1

S9DQ9: CODE FOR CROP (FERT) (cc)

Data file: SECT09D2

Overview

Valid: 9222
Invalid: 0
Minimum: 1
Maximum: 58
Type: Continuous
Decimal: 0
Start: 13
End: 14
Width: 2
Range: 1 - 58
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Spring rice 1916
20.8%
2 Autumn rice 814
8.8%
3 Winter rice 1667
18.1%
4 Rice on swidden land 21
0.2%
5 Total annual rice 799
8.7%
6 Corn/Maize 568
6.2%
7 Sweet potatoes 636
6.9%
8 Potatoes 181
2%
9 Cassava/Manioc 162
1.8%
10 Other stable crops 20
0.2%
11 Kohlrabl, cabbage, cauliflower 293
3.2%
12 Other green(leafy) vegetables (not legumes) 172
1.9%
13 Tomatoes 70
0.8%
14 Water morning glory 270
2.9%
15 Fresh legumes (beans) 35
0.4%
16 Dried legumes (beans) 70
0.8%
17 Herbs and spices 141
1.5%
18 Other vegetables, tubers, fruits 143
1.6%
19 Soy beans 113
1.2%
20 Peanut 369
4%
21 Sesame 22
0.2%
22 Sugar cane 165
1.8%
23 Tobacco, pipe tobacco 76
0.8%
24 Cotton 4
0%
25 Juie, ramie 53
0.6%
26 Rush (for making mais) 2
0%
27 Mulberry 15
0.2%
28 Other annual industrial crops 5
0.1%
29 Other annual crops 38
0.4%
30 Tea 31
0.3%
31 Coffee 75
0.8%
32 Rubber 1
0%
33 Black peper 31
0.3%
34 Coconut for oil, copra 8
0.1%
35 Industrial, perennial crops 4
0%
36 Orange, lemon, mandarin 75
0.8%
37 Pineapple 4
0%
38 Banana 19
0.2%
39 Mangoes 1
0%
40 Apple 9
0.1%
41 Grape 0
0%
42 Plum 1
0%
43 Papaya 3
0%
44 Longa 55
0.6%
45 Sapodilla 1
0%
46 Custard apple 4
0%
47 Jack fruit tree 0
0%
48 Mangosteen 0
0%
49 Other fruit tree 34
0.4%
50 Cashew 22
0.2%
51 Mu-oil tree 0
0%
52 Cinnamon tree 1
0%
53 China anise tree 1
0%
54 Pine 0
0%
55 Varnish tree 0
0%
56 Tree for wood 1
0%
57 Bamboo 0
0%
58 Pan palm tree 1
0%
59 Water coconut palm 0
0%
60 Other silviculture tree 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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