Living Standards Survey 1997-1998
Vietnam, 1997 - 1998
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Reference ID
VNM_1997_VLSS_v01_M
Producer(s)
General Statistical Office (GSO)
Collection(s)
Metadata
Created on
Oct 13, 2016
Last modified
Jan 30, 2020
Page views
385623
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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
- SCR04F2
- SCR04F3
- SCR04G
- SCR04H
- SCR05
- SCR06A
- SCR06B1
- SCR06B2
- SCR06C
- SCR07
- SCR08A1
- SCR08A2
- SCR08A3
- SCR08B
- SCR09A11
- SCR09A12
- SCR09A21
- SCR09A22
- SCR09A31
- SCR09A32
- SCR09A41
- SCR09A42
- SCR09A51
- SCR09A52
- SCR09A53
- SCR09B1
- SCR09B2
- SCR09B3
- SCR09B4
- SCR09B5
- SCR09B6
- SCR09C1
- SCR09C2
- SCR09D01
- SCR09D02
- SCR09D03
- SCR09D04
- SCR09D05
- SCR09D06
- SCR09D07
- SCR09D08
- SCR09D09
- SCR09D10
- SCR09D11
- SCR09D12
- SCR09D13
- SCR09E1
- SCR09E2
- SCR09F1
- SCR09F2
- SCR09G1
- SCR09G2
- SCR09H1
- SCR09H2
- SCR09J
- SCR09K
- SCR09L
- SCR10A
- SCR10B
- SCR10C
- SCR10D
- SCR11A
- SCR11B
- SCR12A
- SCR12B
- SCR12C
- SCR12D1
- SCR12D2
- SCR13A
- SCR13B
- SCR14A1
- SCR14A2
- SCR14A3
- SCR14A4
- SCR14B1
- SCR14B2
- SCR14B3
- SCR14B4
- SCR14C
- SCR15
- SCR031
- SCR032
- SCR033
- SCR034
- SCR035
- SCR036
- SCR100
- SCR110
- SCR120
- SCR130
- HHEXP98N
- CMT00A
- CMT00B
- CMT00C
- CMT05
- CMT011
- CMT012
- CMT021
- CMT21
- CMT022
- CMT22
- CMT23
- CMT24
- CMT25
- CMT30
- CMT031
- CMT31
- CMT032
- CMT32
- CMT033
- CMT33
- CMT034
- CMT34
- CMT035
- CMT061
- CMT062
- CMT063
- CMT071
- CMT072
- CMT073
- CMT081
- CMT082
- CMT083
- CMT084
- CMT091
- CMT092
- CMT101
- CMT102
- CMT103
- CMT104
- CMT105
- CMT106
- CMT107
- CMT108
- CMT109
- CMT110
- CMT111
- CMT112
- CMT0400
- CMT0401
- CMT0402
- CMT0403
- CMT0404
- CMT0405
- CMT0406
- CMT0407
- CMT0408
- CMT0409
- CMT0410
- CMT0411
Kind of work the mother of NAME did for most of her life? (s1bq16)
Data file: SCR01B
Overview
Valid:
11529
Invalid:
15851
Minimum:
0
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
35
End:
36
Width:
2
Range:
0 - 99
Format:
Numeric
Questions and instructions
Question pretext
only ask if household member less than or equal 70 years old
Literal question
Kind of work the mother of NAME did for most of her life?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 89 |
0.8%
|
|
| 1 | 5 |
0%
|
|
| 10 | Communist Party officials of all levels (career) | 0 |
0%
|
| 11 | Executive, legislative and justice branches | 13 |
0.1%
|
| 12 | Leadership of large and small institutions both private and public | 3 |
0%
|
| 21 | Leaders in Natural and life sciences e.g (physics, meteorology) | 1 |
0%
|
| 22 | Leaders in Technical Sciences (architecture, planning etc.) | 4 |
0%
|
| 23 | Doctor, dentist | 2 |
0%
|
| 24 | Pharmacist, pharmacy assistant | 3 |
0%
|
| 25 | Traditional healers including traditional midwife | 5 |
0%
|
| 26 | Nurse, physician's assistant, trained midwife, nurse's aide occupational specialty) | 36 |
0.3%
|
| 27 | Other medical professionals (veterinarians, etc.) | 3 |
0%
|
| 28 | Junior College/University instructor | 1 |
0%
|
| 29 | Upper and lower secondary school teacher | 15 |
0.1%
|
| 30 | Primary school teacher | 42 |
0.4%
|
| 31 | Pre-school teacher (kindergarten and nursery school) | 12 |
0.1%
|
| 32 | Other educational professionals | 4 |
0%
|
| 33 | Mid-level managers | 12 |
0.1%
|
| 34 | Legal professions | 1 |
0%
|
| 35 | Archivist, librarian, information officer, postal clerk | 4 |
0%
|
| 36 | Social scientists | 1 |
0%
|
| 37 | Cultural, entertainment, sports | 4 |
0%
|
| 38 | Religious Specialist (priest, monk...) | 0 |
0%
|
| 39 | Optics, electronic equipment technicians | 0 |
0%
|
| 40 | Safety and quality inspectors | 0 |
0%
|
| 41 | Business, financial, insurance, real estate agents and other intermediaries | 2 |
0%
|
| 42 | Customs and tax officials (includes social welfare, issuing licenses) | 1 |
0%
|
| 43 | Social worker | 1 |
0%
|
| 44 | Accountant, auditors | 11 |
0.1%
|
| 45 | Other office workers (secretary, data entry, typist) | 14 |
0.1%
|
| 46 | Customer service | 5 |
0%
|
| 51 | Service on transportation (stewardess...) | 6 |
0.1%
|
| 52 | Cleaning, janitorial services (business and home) | 115 |
1%
|
| 53 | Personal care (taking care of children, home nursing,...) | 43 |
0.4%
|
| 54 | Other personal services (haircut, burial, fortune tellers, astrologists...) | 6 |
0.1%
|
| 55 | Protection services (police, guards, firefighters, parking attendants...) | 1 |
0%
|
| 56 | Sales and promotion in stores | 30 |
0.3%
|
| 57 | Sales in market and stalls | 854 |
7.4%
|
| 58 | Sales on street (peddlers) | 142 |
1.2%
|
| 60 | 2 |
0%
|
|
| 61 | Cultivators including those who also raise livestock | 8661 |
75.1%
|
| 62 | Livestock raisers | 20 |
0.2%
|
| 63 | Forestry and related workers | 3 |
0%
|
| 64 | Aquaculture | 2 |
0%
|
| 65 | Fishing | 60 |
0.5%
|
| 66 | Hunting and Trapping | 0 |
0%
|
| 71 | Skilled manual worker in mining | 29 |
0.3%
|
| 72 | Skilled construction worker | 16 |
0.1%
|
| 73 | Metal, mechanical workers | 15 |
0.1%
|
| 74 | Electricians, electronic equipment assemblers, phone line installers... | 3 |
0%
|
| 75 | Handicraftsmen and printing | 36 |
0.3%
|
| 76 | Food processing | 80 |
0.7%
|
| 77 | Woodworking (including rattan and bamboo) | 32 |
0.3%
|
| 78 | Textile and garment worker | 123 |
1.1%
|
| 79 | Leather and shoemaking industry worker | 4 |
0%
|
| 81 | Production machine and equipment operators | 4 |
0%
|
| 82 | Drivers and operators of motorized equipment | 4 |
0%
|
| 91 | Other simple services on the street not elsewhere specified | 2 |
0%
|
| 92 | Laundry, ironing | 1 |
0%
|
| 93 | Letter deliverers, porters, doormen | 1 |
0%
|
| 94 | Garbage collectors, scavengers | 2 |
0%
|
| 95 | Unskilled workers in agriculture, forestry or fisheries | 272 |
2.4%
|
| 96 | Unskilled workers in mining, construction, industry and transportation | 64 |
0.6%
|
| 97 | Other unskilled workers | 113 |
1%
|
| 99 | Other Occupations not elsewhere specified (e.g. military) | 489 |
4.2%
|
| Sysmiss | 15851 |
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.
Question post text
SKIP TO THE NEXT PERSON
Description
Definition
The questions in part B only ask household members, i.e. people with an X marked in
column A and with their name on the household card. Ask questions 1 to 16 before going on to
the next person
column A and with their name on the household card. Ask questions 1 to 16 before going on to
the next person
Universe
Household members <=70 years
Source of information
ask about the biological mother of household members