Cambodia Socio-Economic Survey 2008
Cambodia, 2006 - 2008
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Reference ID
KHM-NIS-CSES-2008-v1.0
Producer(s)
National Institute of Statistics
Collections
Metadata
Created on
Jan 07, 2021
Last modified
Jan 08, 2021
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- Data files
- areainformation
- Diary1_diaryincome
- Diary2_diaryexpenditure
- S01-17_hhotherinfo
- S01A_hhmembers
- S01B_hhfoodconsumption
- S01C_hhrecallnonfood
- S02_personeducation
- S04_hhhousing
- S05A_hhlandownership
- S05B_hhproductioncrops
- S05C_hhcostcultivationcrops
- S05D_hhinventorycrops
- S05E1_hhlivestock1
- S05E2_hhlivestock2
- S05F1_hhfishcultivation1
- S05F2_hhfishcultivation2
- S05F3_hhfishcultivation3
- S05G_hhforestryhunting2
- S05G2_hhforestryhunting1
- S05H1_hhnonagriculture1
- S05H2_hhnonagriculture2
- S05H3_hhnonagriculture3
- S06_hhliabilities
- S07_hhincomeothersource
- S08_hhconstruction
- S09_hhdurablegoods
- S10_personchildcare
- S13A_personecoactivity
- S13B_personmainoccupation
- S14A_personillness
- S17_personpresence
- weighthouseholds
- weightpersons
NIS Occupation code (q13bc02b)
Data file: S13B_personmainoccupation
Overview
Valid:
11338
Invalid:
0
Minimum:
1
Maximum:
998
Type:
Discrete
Decimal:
0
Width:
3
Range:
1 - 998
Format:
Numeric
Questions and instructions
Literal question
What was ..[NAME].. 's primary occupation during the past 7 days?
What was ..[NAME]..'s secondary occupation during the past 7 days?
Note: If more than two occupations, note the two most important
Note: beggar and sex worker are occupations
What was ..[NAME]..'s secondary occupation during the past 7 days?
Note: If more than two occupations, note the two most important
Note: beggar and sex worker are occupations
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Armed forces | 73 |
0.6%
|
| 111 | Legislators | 0 |
0%
|
| 112 | Senior government officials | 3 |
0%
|
| 113 | Traditional chiefs and heads of villages | 50 |
0.4%
|
| 114 | Senior officials of special-interest organizations | 5 |
0%
|
| 121 | Directors and chief executives | 6 |
0.1%
|
| 122 | Specialized managers | 19 |
0.2%
|
| 131 | General managers | 14 |
0.1%
|
| 211 | Physicists, chemists and related professionals | 0 |
0%
|
| 212 | Mathematicians, statisticians and related professionals | 1 |
0%
|
| 213 | Computing professionals | 3 |
0%
|
| 214 | Architects, engineers and related professionals | 4 |
0%
|
| 221 | Life science professionals | 0 |
0%
|
| 222 | Health professionals (except nursing) | 67 |
0.6%
|
| 223 | Nursing and midwifery professionals | 0 |
0%
|
| 231 | College, university and higher education teaching professionals | 24 |
0.2%
|
| 232 | Secondary education teaching professionals | 36 |
0.3%
|
| 233 | Primary and pre-primary education teaching professionals | 65 |
0.6%
|
| 234 | Special education teaching professionals | 4 |
0%
|
| 235 | Other teaching professionals | 24 |
0.2%
|
| 241 | Business professionals | 174 |
1.5%
|
| 242 | Legal professionals | 5 |
0%
|
| 243 | Archivists, librarians and related information professionals | 0 |
0%
|
| 244 | Social and related science professionals | 11 |
0.1%
|
| 245 | Writers and creative and performing artists | 4 |
0%
|
| 246 | Religion professionals | 18 |
0.2%
|
| 311 | Physical science and engineering technicians | 2 |
0%
|
| 312 | Computer assistants and computer equipment controllers | 1 |
0%
|
| 313 | Optical and electronic equipment controllers | 13 |
0.1%
|
| 314 | Ship and aircraft controllers and technicians | 0 |
0%
|
| 315 | Building, safety, health and quality inspectors | 0 |
0%
|
| 321 | Life science technicians and related workers | 1 |
0%
|
| 322 | Modern health associate professionals (except nursing) | 6 |
0.1%
|
| 323 | Nursing and midwifery associate professionals | 1 |
0%
|
| 324 | Traditional medicine practitioners and faith healers | 5 |
0%
|
| 331 | Primary education teaching associate professionals | 7 |
0.1%
|
| 332 | Pre-primary education teaching associate professionals | 0 |
0%
|
| 333 | Special education teaching associate professionals | 0 |
0%
|
| 334 | Other teaching associate professionals | 11 |
0.1%
|
| 341 | Finance and sales associate professionals | 30 |
0.3%
|
| 342 | Business services agents and trade brokers | 28 |
0.2%
|
| 343 | Administrative associate professionals | 30 |
0.3%
|
| 344 | Government associate professionals | 98 |
0.9%
|
| 345 | Social work associate professionals | 0 |
0%
|
| 346 | Artistic, entertainment and sports associate professionals | 32 |
0.3%
|
| 347 | Non-ordained religion associate professionals | 5 |
0%
|
| 411 | Secretaries and keyboard operating clerks | 234 |
2.1%
|
| 412 | Numerical clerks | 18 |
0.2%
|
| 413 | Material recording and transport clerks | 3 |
0%
|
| 414 | Library, mail and related clerks | 1 |
0%
|
| 421 | Cashiers, tellers and related clerks | 89 |
0.8%
|
| 422 | Client information clerks | 6 |
0.1%
|
| 511 | Travel attendants and guides | 2 |
0%
|
| 512 | Housekeeping and restaurant services workers | 99 |
0.9%
|
| 513 | Personal care workers | 7 |
0.1%
|
| 514 | Barbers and Hairdressers | 23 |
0.2%
|
| 515 | Beauticians and related workers | 43 |
0.4%
|
| 516 | Other personal services workers | 5 |
0%
|
| 517 | Astrologers, fortune-tellers and related workers | 4 |
0%
|
| 518 | Policemen/women | 0 |
0%
|
| 519 | Protective services workers | 1 |
0%
|
| 521 | Shop salespersons and demonstrators | 7 |
0.1%
|
| 522 | Stall and market salespersons | 1172 |
10.3%
|
| 523 | Fashion and other models | 0 |
0%
|
| 611 | Market gardeners and crop growers | 556 |
4.9%
|
| 612 | Market-oriented animal producers | 1893 |
16.7%
|
| 613 | Market-oriented crop and animal producers | 0 |
0%
|
| 614 | Forestry and related workers | 18 |
0.2%
|
| 615 | Fishery workers, hunters and trappers | 14 |
0.1%
|
| 621 | Subsistence agricultural, fishery and related workers | 2830 |
25%
|
| 711 | Miners and blasters, stone cutters and carvers | 8 |
0.1%
|
| 712 | Building frame and related trades workers | 371 |
3.3%
|
| 713 | Building finishers and related trades workers | 14 |
0.1%
|
| 714 | Painters, building structure cleaners and related workers | 1 |
0%
|
| 721 | Metal moulders, welders, sheet-metal workers, structural metal | 10 |
0.1%
|
| 722 | Blacksmiths, toolmakers and related workers | 26 |
0.2%
|
| 723 | Automobile mechanics and fitters | 10 |
0.1%
|
| 724 | Motorbike mechanics and fitters | 22 |
0.2%
|
| 725 | Machinery mechanics and fitters | 19 |
0.2%
|
| 726 | Electrical and electronic instrument mechanics and fitters | 21 |
0.2%
|
| 731 | Precision workers in metal and related materials | 21 |
0.2%
|
| 732 | Potters and related workers | 15 |
0.1%
|
| 733 | Glass formers and related workers | 5 |
0%
|
| 734 | Handicraft workers in wood, textile, leather and related materials | 4 |
0%
|
| 735 | Printing and related trades workers | 11 |
0.1%
|
| 741 | Food and related products processing trades workers | 20 |
0.2%
|
| 742 | Cigarette rollers and tobacco products makers | 20 |
0.2%
|
| 743 | Cabinet makers, wood treaters and related workers | 32 |
0.3%
|
| 744 | Palm leaf products makers, basketry weavers and related workers | 113 |
1%
|
| 745 | Bamboo products makers | 7 |
0.1%
|
| 746 | Rope makers | 2 |
0%
|
| 747 | Handloom weavers | 26 |
0.2%
|
| 748 | Tailors, dressmakers and hatters | 92 |
0.8%
|
| 749 | Textile and garment trades workers | 50 |
0.4%
|
| 750 | Pelt, leather and shoemaking trades workers | 20 |
0.2%
|
| 811 | Mining and mineral-processing plant operators | 1 |
0%
|
| 812 | Metal-processing plant operators | 2 |
0%
|
| 813 | Glass and ceramics kiln and related plant operators | 0 |
0%
|
| 814 | Wood-processing and papermaking plant operators | 20 |
0.2%
|
| 815 | Chemical-processing plant operators | 0 |
0%
|
| 816 | Power-generating and related plant operators | 17 |
0.1%
|
| 817 | Automated assembly-line and industrial robot operators | 0 |
0%
|
| 821 | Metal and mineral products processing machine operators | 2 |
0%
|
| 822 | Chemical products machine operators | 0 |
0%
|
| 823 | Rubber and plastics products machine operators | 3 |
0%
|
| 824 | Wood products machine operators | 1 |
0%
|
| 825 | Printing, binding and paper products machine operators | 0 |
0%
|
| 826 | Textile products machine operators | 374 |
3.3%
|
| 827 | Food and related products processing machine operators | 180 |
1.6%
|
| 828 | Assemblers | 4 |
0%
|
| 829 | Other stationary machine operators and assemblers | 0 |
0%
|
| 831 | Railway engine drivers and related workers | 0 |
0%
|
| 832 | Moto drivers | 191 |
1.7%
|
| 833 | Taxi drivers | 39 |
0.3%
|
| 834 | Other motor vehicle drivers | 48 |
0.4%
|
| 835 | Agricultural, earth-moving, lifting and other mobile | 26 |
0.2%
|
| 836 | Ship's deck crews and related workers | 7 |
0.1%
|
| 911 | Street vegetable and fruit sellers | 10 |
0.1%
|
| 912 | Street meat sellers | 4 |
0%
|
| 913 | Street fish sellers | 1 |
0%
|
| 914 | Street food snack sellers | 21 |
0.2%
|
| 915 | Street cool drink and water sellers | 16 |
0.1%
|
| 916 | Street cigarette sellers | 0 |
0%
|
| 917 | Street petrol sellers | 2 |
0%
|
| 918 | Petty firewood sellers | 0 |
0%
|
| 919 | Other street vendors and related workers | 488 |
4.3%
|
| 920 | Airpump operators (inflate wheels) | 16 |
0.1%
|
| 921 | Shoe cleaning and other street services elementary occupations | 0 |
0%
|
| 922 | Domestic helpers and maids | 1 |
0%
|
| 923 | Laundry workers | 45 |
0.4%
|
| 924 | Cleaners and related workers | 18 |
0.2%
|
| 925 | Building caretakers and window cleaners | 2 |
0%
|
| 926 | Private security guards | 32 |
0.3%
|
| 927 | Messengers, watchers and security workers | 77 |
0.7%
|
| 928 | Commercial sex workers | 4 |
0%
|
| 929 | Tins and plastic materials collectors | 7 |
0.1%
|
| 930 | Rag pickers | 0 |
0%
|
| 931 | Other garbage collectors and related labourers | 2 |
0%
|
| 941 | Agricultural, fishery and related labourers | 518 |
4.6%
|
| 942 | Firewood collectors | 229 |
2%
|
| 951 | Mining and construction labourers | 6 |
0.1%
|
| 952 | Manufacturing labourers | 58 |
0.5%
|
| 953 | Loaders and unloaders | 0 |
0%
|
| 954 | Cyclo drivers | 15 |
0.1%
|
| 955 | Other transport labourers | 0 |
0%
|
| 998 | Occupation not adequately described | 6 |
0.1%
|
| 999 | Occupation not stated | 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.
Question post text
(Write specific occupation in col. 2a)
Note: If more than two occupations, note the two most important
Note: beggar and sex worker are occupations
Note: If more than two occupations, note the two most important
Note: beggar and sex worker are occupations