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    Home / Central Data Catalog / VNM_1997_VLSS_V01_M / variable [F61]
central

Living Standards Survey 1997-1998

Vietnam, 1997 - 1998
Reference ID
VNM_1997_VLSS_v01_M
Producer(s)
General Statistical Office (GSO)
Metadata
DDI/XML JSON
Study website
Created on
May 30, 2025
Last modified
Mar 29, 2019
Page views
149235
Downloads
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  • Study Description
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  • 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
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  • SCR04F3
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  • SCR09A11
  • SCR09A12
  • SCR09A21
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  • SCR09A31
  • SCR09A32
  • SCR09A41
  • SCR09A42
  • SCR09A51
  • SCR09A52
  • SCR09A53
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  • SCR11A
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  • SCR12A
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  • SCR14A1
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  • SCR15
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  • longlat

9. For which crops? (s9dq9cc)

Data file: SCR09D03

Overview

Valid: 12729
Invalid: 1
Minimum: 1
Maximum: 62
Type: Continuous
Decimal: 0
Start: 10
End: 11
Width: 2
Range: -
Format:

Questions and instructions

Categories
Value Category
1 winter rice
2 autumn rice
3 winter rice
4 swidden rice
5 annual rice
6 glutinous rice
7 specialty rice
8 corn/maize
9 sweet potatoes
10 cassava/manioc
11 other staple crops
12 potatoes
13 kohlrabi, cabbage, cauliflower
14 other leafy greens
15 tomatoes
16 water morning glory
17 fresh legumes (beans)
18 dried legumes (beans)
19 herbs and spices
20 other vegetables, tubers and fruits
21 soy beans
22 peanuts
23 sesame seeds
24 sugar cane
25 tobacco
26 cotton
27 jute, ramie
28 rush (for making mats)
29 other annual industrial crops
30 other annual crops
31 tea
32 coffee
33 rubber
34 black pepper
35 coconut (for oil, copra)
36 mulberry
37 cashew
38 other perennial industrial crops
39 oranges, limes and mandarins
40 pineapple
41 bananas
42 mango
43 apple
44 grapesplum
45 papaya
46 litchi, longan, rambutan
47 sapodilla
48 custard apple
49 custard apple
50 jackfruit, durian
51 mangosteen
52 other fruit trees
53 Mu oil tree
54 cinnamon tree
55 anise tree
56 pine tree
57 varnish tree
58 tree for wood
59 bamboo
60 fan palm tree
61 water coconut palm
62 other silviculture tree
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.. List all crops before going to 3-7

These questions request recording in detail the quantity, and the value of
chemical fertilizer used in the last 12 months, including urea-nitrogen, phosphate, potassium.
NPK and other chemical fertilisers. Urea is calculated as the standard Urea, 2 kg Sulphate urea =
1 kg Urea. When interviewing regarding the quantity used for each kind of plant, in fact many
households can’t remember how much has been used and for which plants, even if they only
respond about the amount of Urea, potassium.. which has been bought in the last 12 months...If
the interviewer faces this case, s/he has to calculate the amount used for each plant according to
the rule: Based on the proportion of the area planted to each plant. For example: in the last 12
months Mr Nam’s household has bought 75 KGs Urea to fertilise 600 m2
of rice, 100 m2
of sweet
potato and 50 m2
of cabbage. If we follow the above rule, then the total area fertilised with Urea
is 750 m2
in which rice area accounts for 80%, sweet potato makes up 13% and cabbage area
accounts for 7%. Calculation of urea for each plant is as follows:
- Urea for rice = 60kg (75 kg x 0,8)
- Urea for sweet potato = 9,8 kg (75 kg x 0,13)
- Urea for cabbage = 5,2 kg (75 kg x 0.07).
This method is also applied for other fertilisers.
If the interviewer faces difficulties in the above calculation method, the interviewer can
record the total fertilizer and values of each that is used the most.
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