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    Home / Central Data Catalog / LSMS / VNM_2004_VHLSS_V01_M / variable [F102]
lsms

Household Living Standards Survey 2004

Viet Nam, 2004
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Reference ID
VNM_2004_VHLSS_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 08, 2015
Last modified
Oct 26, 2023
Page views
311447
Downloads
156660
  • Study Description
  • Data Description
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  • Data files
  • cover
  • hhexpe04
  • ho1
  • ho2
  • m1_2_3a
  • m1b
  • m3b
  • m4a
  • m4b11
  • m4b12_14
  • m4b15
  • m4b16
  • m4b21
  • m4b22
  • m4b31
  • m4b32
  • m4b41
  • m4b42
  • m4b51
  • m4b52
  • m4c1
  • m4c2
  • m4d
  • m5a1
  • m5a2
  • m5b1
  • m5b2
  • m5b3_4
  • m6
  • m6a
  • m6b
  • m7
  • m8
  • m8_xdgn
  • m10a_e3
  • m10f
  • m91
  • m92
  • m93
  • m941
  • m942_44
  • m946
  • m948
  • m949
  • m9451
  • m9452
  • m9453
  • m9471
  • m9472
  • muc0
  • muc1
  • muc2
  • muc3
  • muc4a1
  • muc4a2
  • muc4b
  • muc4c1
  • muc4c2
  • muc4d
  • muc5a
  • muc5b
  • muc5c
  • muc6a
  • muc6b
  • muc7b
  • muc9a
  • muc9b
  • proname04
  • pronamevn04
  • VHLSS02_04_panel
  • weight04
  • wt9

Assets (m6ama)

Data file: m6a

Overview

Valid: 78771
Invalid: 0
Minimum: 1
Maximum: 62
Type: Discrete
Decimal: 0
Start: 15
End: 16
Width: 2
Range: 1 - 62
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Perennial crop gardens 7551
9.6%
2 Aquacultural farms 4858
6.2%
3 Fish/shrimp-rearing cages/rafts 77
0.1%
4 Land for doing other business 339
0.4%
5 Drawing, ploghing and breeding cattle 10290
13.1%
6 Breeding pigs 6999
8.9%
7 Basic herds of poultry and cattle 1485
1.9%
8 Breeding facilities 15609
19.8%
9 Feed grinding machines 218
0.3%
10 Rice milling machines 1001
1.3%
11 Grain harvesing machines 2528
3.2%
12 Pesticide sprayers 749
1%
13 Houses and workshopes 913
1.2%
14 Shops 1725
2.2%
15 Other production facilities 268
0.3%
16 Cars 431
0.5%
17 Tractors fo all kinds 632
0.8%
18 Trailers 168
0.2%
19 Tractor ploughs 553
0.7%
20 Motorbikes 3549
4.5%
21 Bicycles 761
1%
22 Carts 3060
3.9%
23 Motor boats, ferries 1324
1.7%
24 Rowing boats, ferries 1000
1.3%
25 Other means of transportation 361
0.5%
26 Lathes and welding and milling machines 376
0.5%
27 Punchers 61
0.1%
28 Wooden sawing machines 403
0.5%
29 Pumps 3567
4.5%
30 Power generators 178
0.2%
31 Printers, photocopiers 70
0.1%
32 Fax machines 29
0%
33 Telephone sets 661
0.8%
34 Mobile phone 273
0.3%
35 Sewing, weaving, embroidering machines 1142
1.4%
36 Other machines and equipment 1261
1.6%
37 Fishing net 751
1%
38 Durable containers for storage 60
0.1%
39 Other specific equipments 250
0.3%
40 Video cassettle players 157
0.2%
41 Color T.V sets 258
0.3%
42 Black and white T.V sets 20
0%
43 Multi-tier stereos 100
0.1%
44 Radios/Cassette players 15
0%
45 Recorders/Disc players 16
0%
46 Computers 159
0.2%
47 Cameras, camcorders 61
0.1%
48 Refrigerators, freezers 442
0.6%
49 Air-conditioners 30
0%
50 Washing machines and driers 10
0%
51 Electric fans 188
0.2%
52 Water heaters 10
0%
53 Gas cookers 108
0.1%
54 Electric cookers, rice cookers, pressurised cookers 36
0%
55 Trollers of all kinds 89
0.1%
56 Wardrobes of all kinds 512
0.6%
57 Beds 90
0.1%
58 Tables, chairs, sofas 302
0.4%
59 Vacuum cleaners, water filters 5
0%
60 Microwaves, baking stoves 6
0%
61 Fruits blenders, juicers 39
0%
62 Other valuable things 587
0.7%
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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