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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / VNM_1992-1993_LSS-W1_V01_EN_M_V01_A_OCS / variable [F41]
agricultural-surveys

Living Standards Survey 1992-1993

Viet Nam, 1992 - 1993
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Reference ID
VNM_1992-1993_LSS-W1_v01_EN_M_v01_A_OCS
Producer(s)
General Statistical Office (GSO), State Planning Committee (SPC)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 15, 2020
Last modified
Nov 08, 2022
Page views
47306
Downloads
326
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

S9DQ24: CROP CODE (INSETCTICIDE (cc)

Data file: SECT09D4

Overview

Valid: 5312
Invalid: 0
Minimum: 1
Maximum: 50
Type: Continuous
Decimal: 0
Start: 13
End: 14
Width: 2
Range: 1 - 50
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Spring rice 1441
27.1%
2 Autumn rice 703
13.2%
3 Winter rice 1154
21.7%
4 Rice on swidden land 10
0.2%
5 Total annual rice 747
14.1%
6 Corn/Maize 93
1.8%
7 Sweet potatoes 34
0.6%
8 Potatoes 29
0.5%
9 Cassava/Manioc 1
0%
10 Other stable crops 4
0.1%
11 Kohlrabl, cabbage, cauliflower 109
2.1%
12 Other green(leafy) vegetables (not legumes) 59
1.1%
13 Tomatoes 55
1%
14 Water morning glory 17
0.3%
15 Fresh legumes (beans) 21
0.4%
16 Dried legumes (beans) 81
1.5%
17 Herbs and spices 24
0.5%
18 Other vegetables, tubers, fruits 99
1.9%
19 Soy beans 98
1.8%
20 Peanut 105
2%
21 Sesame 7
0.1%
22 Sugar cane 84
1.6%
23 Tobacco, pipe tobacco 23
0.4%
24 Cotton 5
0.1%
25 Juie, ramie 24
0.5%
26 Rush (for making mais) 1
0%
27 Mulberry 5
0.1%
28 Other annual industrial crops 5
0.1%
29 Other annual crops 28
0.5%
30 Tea 24
0.5%
31 Coffee 47
0.9%
32 Rubber 0
0%
33 Black peper 28
0.5%
34 Coconut for oil, copra 0
0%
35 Industrial, perennial crops 1
0%
36 Orange, lemon, mandarin 39
0.7%
37 Pineapple 0
0%
38 Banana 2
0%
39 Mangoes 2
0%
40 Apple 9
0.2%
41 Grape 0
0%
42 Plum 0
0%
43 Papaya 0
0%
44 Longa 47
0.9%
45 Sapodilla 1
0%
46 Custard apple 0
0%
47 Jack fruit tree 0
0%
48 Mangosteen 0
0%
49 Other fruit tree 20
0.4%
50 Cashew 26
0.5%
51 Mu-oil tree 0
0%
52 Cinnamon tree 0
0%
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%
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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