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    Home / Central Data Catalog / LSMS / VNM_1992_VLSS_V01_M / variable [F42]
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
227453
Downloads
49601
  • Study Description
  • Data Description
  • Documentation
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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

CROP CODE (TRANSPORTATION) (cc)

Data file: SECT09D5

Overview

Valid: 485
Invalid: 0
Minimum: 1
Maximum: 103
Type: Discrete
Decimal: 0
Start: 13
End: 15
Width: 3
Range: 1 - 103
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Spring rice 103
21.2%
2 Autumn rice 57
11.8%
3 Winter rice 82
16.9%
4 Rice on swidden land 3
0.6%
5 Total annual rice 74
15.3%
6 Corn/Maize 8
1.6%
7 Sweet potatoes 8
1.6%
8 Potatoes 0
0%
9 Cassava/Manioc 5
1%
10 Other stable crops 0
0%
11 Kohlrabl, cabbage, cauliflower 1
0.2%
12 Other green(leafy) vegetables (not legumes) 5
1%
13 Tomatoes 1
0.2%
14 Water morning glory 0
0%
15 Fresh legumes (beans) 0
0%
16 Dried legumes (beans) 0
0%
17 Herbs and spices 0
0%
18 Other vegetables, tubers, fruits 3
0.6%
19 Soy beans 4
0.8%
20 Peanut 9
1.9%
21 Sesame 0
0%
22 Sugar cane 12
2.5%
23 Tobacco, pipe tobacco 0
0%
24 Cotton 0
0%
25 Juie, ramie 3
0.6%
26 Rush (for making mais) 0
0%
27 Mulberry 0
0%
28 Other annual industrial crops 0
0%
29 Other annual crops 0
0%
30 Tea 0
0%
31 Coffee 5
1%
32 Rubber 1
0.2%
33 Black peper 0
0%
34 Coconut for oil, copra 0
0%
35 Industrial, perennial crops 0
0%
36 Orange, lemon, mandarin 0
0%
37 Pineapple 0
0%
38 Banana 0
0%
39 Mangoes 0
0%
40 Apple 1
0.2%
41 Grape 0
0%
42 Plum 0
0%
43 Papaya 0
0%
44 Longa 3
0.6%
45 Sapodilla 0
0%
46 Custard apple 0
0%
47 Jack fruit tree 0
0%
48 Mangosteen 0
0%
49 Other fruit tree 0
0%
50 Cashew 0
0%
51 Mu-oil tree 2
0.4%
52 Cinnamon tree 1
0.2%
53 China anise tree 0
0%
54 Pine 0
0%
55 Varnish tree 0
0%
56 Tree for wood 0
0%
57 Bamboo 0
0%
58 Pan palm tree 0
0%
59 Water coconut palm 0
0%
60 Other silviculture tree 0
0%
101 Seeds or young plants 2
0.4%
102 Fertilizer 66
13.6%
103 Organic fertilizer 26
5.4%
104 Insecticides 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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