Cambodia Socio-Economic Survey 2009, Household Survey 2009
Cambodia, 2009
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Reference ID
KHM-NIS-CSES-2009-v1.0
Producer(s)
National Institute of Statistics
Collections
Metadata
Created on
Jan 07, 2021
Last modified
Jan 08, 2021
Page views
194805
Downloads
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- Data files
- areainformation
- Yearly_hhincome
- S01-17_hhotherinfo
- S01A_hhmembers
- S01B_hhfoodconsumption
- S01C_hhrecallnonfood
- S02_personeducation
- S03A_personmigrationpast
- S03B_personmigrationcurrent
- S04_hhhousing
- S05A_hhlandownership
- S05B_hhproductioncrops
- S05C_hhcostcultivationcrops
- S05D_hhinventorycrops
- S05E1_hhlivestock1
- S05E2_hhlivestock2
- S05F1_hhfishcultivation1
- S05F2_hhfishcultivation2
- S05F3_hhfishcultivation3
- S05G2_hhforestryhunting1
- S05G_hhforestryhunting2
- S05H1_hhnonagriculture1
- S05H2_hhnonagriculture2
- S05H3_hhnonagriculture3
- S06_hhliabilities
- S07_hhincomeothersource
- S08_hhconstruction
- S09_hhdurablegoods
- S11_personhealthu2
- S12_personhealthu5
- S13_personillness
- S14_persondisability
- S15_personecocurrent
- S16_personecousu
- S17B_persontheft
- S17C_personaccidents
- S18_personpresence
- Yearly_hhexpenditure
- S10_personmaternalhealth
Occupation before moving (q03bc08)
Data file: S03B_personmigrationcurrent
Overview
Valid:
7351
Invalid:
698
Minimum:
11
Maximum:
999
Type:
Discrete
Decimal:
0
Width:
3
Range:
11 - 999
Format:
Numeric
Questions and instructions
Literal question
Whart was ..[NAME]..'s main occupation at the time of (before) moving to [CURRENT LOCATION]?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Armed forces occupations | 51 |
0.7%
|
| 111 | Legislators and senior officials | 5 |
0.1%
|
| 112 | Managing directors and chief executives | 1 |
0%
|
| 121 | Business services and administration managers | 2 |
0%
|
| 122 | Sales, marketing and development managers | 2 |
0%
|
| 131 | Production managers in agriculture, forestry and fisheries | 1 |
0%
|
| 132 | Manufacturing, mining, construction, and distribution managers | 0 |
0%
|
| 133 | Information and communications technology service managers | 0 |
0%
|
| 134 | Professional services managers | 0 |
0%
|
| 141 | Hotel and restaurant managers | 0 |
0%
|
| 142 | Retail and wholesale trade managers | 0 |
0%
|
| 143 | Other services managers | 1 |
0%
|
| 211 | Physical and earth science professionals | 0 |
0%
|
| 212 | Mathematicians, actuaries and statisticians | 0 |
0%
|
| 213 | Life science professionals | 0 |
0%
|
| 214 | Engineering professionals (excluding electrotechnology) | 0 |
0%
|
| 215 | Electrotechnology engineers | 0 |
0%
|
| 216 | Architects, planners, surveyors and designers | 1 |
0%
|
| 221 | Medical doctors | 5 |
0.1%
|
| 222 | Nursing and midwifery professionals | 10 |
0.1%
|
| 223 | Traditional and complementary medicine professionals | 4 |
0.1%
|
| 224 | Paramedical practitioners | 5 |
0.1%
|
| 225 | Veterinarians | 3 |
0%
|
| 226 | Other health professionals | 0 |
0%
|
| 231 | University and higher education teachers | 2 |
0%
|
| 232 | Vocational education teachers | 0 |
0%
|
| 233 | Secondary education teachers | 28 |
0.4%
|
| 234 | Primary school and early childhood teachers | 67 |
0.9%
|
| 235 | Other teaching professionals | 6 |
0.1%
|
| 241 | Finance professionals | 4 |
0.1%
|
| 242 | Administration professionals | 0 |
0%
|
| 243 | Sales, marketing and public relations professionals | 1 |
0%
|
| 251 | Software and applications developers and analysts | 1 |
0%
|
| 252 | Database and network professionals | 0 |
0%
|
| 261 | Legal professionals | 1 |
0%
|
| 262 | Librarians, archivists and curators | 2 |
0%
|
| 263 | Social and religious professionals | 17 |
0.2%
|
| 264 | Authors, journalists and linguists | 0 |
0%
|
| 265 | Creative and performing artists | 12 |
0.2%
|
| 311 | Physical and engineering science technicians | 3 |
0%
|
| 312 | Mining, manufacturing and construction supervisors | 5 |
0.1%
|
| 313 | Process control technicians | 2 |
0%
|
| 314 | Life science technicians and related associate professionals | 1 |
0%
|
| 315 | Ship and aircraft controllers and technicians | 0 |
0%
|
| 321 | Medical and pharmaceutical technicians | 1 |
0%
|
| 322 | Nursing and midwifery associate professionals | 2 |
0%
|
| 323 | Traditional and complementary medicine associate professionals | 0 |
0%
|
| 324 | Veterinary technicians and assistants | 1 |
0%
|
| 325 | Other health associate professionals | 0 |
0%
|
| 331 | Financial and mathematical associate professionals | 2 |
0%
|
| 332 | Sales and purchasing agents and brokers | 0 |
0%
|
| 333 | Business services agents | 0 |
0%
|
| 334 | Administrative and specialized secretaries | 3 |
0%
|
| 335 | Regulatory government associate professionals | 1 |
0%
|
| 341 | Legal, social and religious associate professionals | 1 |
0%
|
| 342 | Sports and fitness workers | 0 |
0%
|
| 343 | Artistic, cultural and culinary associate professionals | 3 |
0%
|
| 351 | Information and communications technology operations and user support technicians | 0 |
0%
|
| 352 | Telecommunications and broadcasting technicians | 2 |
0%
|
| 411 | General office clerks | 43 |
0.6%
|
| 412 | Secretaries (general) | 1 |
0%
|
| 413 | Keyboard operators | 0 |
0%
|
| 421 | Tellers, money collectors and related clerks | 13 |
0.2%
|
| 422 | Client information workers | 22 |
0.3%
|
| 431 | Numerical clerks | 2 |
0%
|
| 432 | Material-recording and transport clerks | 0 |
0%
|
| 441 | Other clerical support workers | 0 |
0%
|
| 511 | Travel attendants, conductors and guides | 3 |
0%
|
| 512 | Cooks | 10 |
0.1%
|
| 513 | Waiters and bartenders | 15 |
0.2%
|
| 514 | Hairdressers, beauticians and related workers | 19 |
0.3%
|
| 515 | Building and housekeeping supervisors | 2 |
0%
|
| 516 | Other personal services workers | 3 |
0%
|
| 521 | Child care workers and teachers' aides | 0 |
0%
|
| 522 | Personal care workers in health services | 1 |
0%
|
| 531 | Protective services workers | 18 |
0.2%
|
| 532 | Policemen / women | 37 |
0.5%
|
| 541 | Street and market salespersons | 236 |
3.2%
|
| 542 | Street vegetable and fruit sellers | 9 |
0.1%
|
| 543 | Street meat sellers | 1 |
0%
|
| 544 | Street fish sellers | 6 |
0.1%
|
| 545 | Street food snack sellers | 13 |
0.2%
|
| 546 | Street cool drink and water sellers | 5 |
0.1%
|
| 547 | Street cigarette sellers and other street food salespersons | 1 |
0%
|
| 548 | Shop salespersons | 119 |
1.6%
|
| 549 | Cashiers and ticket clerks | 1 |
0%
|
| 550 | Other sales workers | 2 |
0%
|
| 611 | Market gardeners and crop growers | 489 |
6.7%
|
| 612 | Animal producers | 3 |
0%
|
| 613 | Mixed crop and animal producers | 7 |
0.1%
|
| 621 | Forestry and related workers | 4 |
0.1%
|
| 622 | Fishery workers, hunters and trappers | 46 |
0.6%
|
| 631 | Subsistence crop farmers | 4770 |
64.9%
|
| 632 | Subsistence livestock farmers | 2 |
0%
|
| 633 | Subsistence mixed crop and livestock farmers | 0 |
0%
|
| 634 | Subsistence fishers, hunters, trappers and gatherers | 44 |
0.6%
|
| 711 | Building frame and related trades workers | 26 |
0.4%
|
| 712 | Building finishers and related trades workers | 14 |
0.2%
|
| 713 | Painters, building structure cleaners and related trades workers | 0 |
0%
|
| 721 | Sheet and structural metal workers, moulders and welders, and related workers | 14 |
0.2%
|
| 722 | Blacksmiths, toolmakers and related trades workers | 6 |
0.1%
|
| 723 | Machinery mechanics and repairers | 1 |
0%
|
| 724 | Automobile mechanics and fitters | 22 |
0.3%
|
| 725 | Motocycle mechanics and fitters | 17 |
0.2%
|
| 731 | Handicraft workers | 29 |
0.4%
|
| 732 | Potters and related workers | 1 |
0%
|
| 733 | Glass makers | 0 |
0%
|
| 734 | Palm leaf products makers, basketry weavers and related workers | 2 |
0%
|
| 735 | Bamboo products makers | 14 |
0.2%
|
| 736 | Other wood-related handicraft workers | 1 |
0%
|
| 737 | Rope Makers | 0 |
0%
|
| 738 | Handloom weavers, handicraft workers in textile, leather and related materials | 19 |
0.3%
|
| 739 | Printing trades workers | 1 |
0%
|
| 741 | Electrical equipment installers and repairers | 5 |
0.1%
|
| 742 | Electronics and telecommunications installers and repairers | 8 |
0.1%
|
| 751 | Food processing and related trades workers | 19 |
0.3%
|
| 752 | Cigarette rollers and tobacco product makers | 1 |
0%
|
| 753 | Wood treaters, cabinet-makers and related trades workers | 9 |
0.1%
|
| 754 | Tailors, dress makers, furriers and hatters | 0 |
0%
|
| 755 | Garment and related trades workers | 277 |
3.8%
|
| 756 | Pelt, leather and related trades workers | 2 |
0%
|
| 757 | Other craft and related workers | 2 |
0%
|
| 811 | Mining and mineral processing plant operators | 2 |
0%
|
| 812 | Metal processing and finishing plant operators | 1 |
0%
|
| 813 | Chemical and photographic products plant and machine operators | 0 |
0%
|
| 814 | Rubber, plastic and paper products machine operators | 3 |
0%
|
| 815 | Textile, fur and leather products machine operators | 0 |
0%
|
| 816 | Food and related products machine operators | 8 |
0.1%
|
| 817 | Wood processing and papermaking plant operators | 0 |
0%
|
| 818 | Other stationary plant and machine operators | 1 |
0%
|
| 821 | Assemblers | 1 |
0%
|
| 831 | Locomotive engine drivers and related workers | 1 |
0%
|
| 832 | Motodup and tuktuk drivers | 55 |
0.7%
|
| 833 | Taxi drivers | 6 |
0.1%
|
| 834 | Other motor-related drivers | 27 |
0.4%
|
| 835 | Heavy truck and bus drivers | 10 |
0.1%
|
| 836 | Mobile plant operators | 3 |
0%
|
| 837 | Ships' deck crews and related workers | 1 |
0%
|
| 911 | Domestic cleaners and helpers | 14 |
0.2%
|
| 912 | Hotel and office cleaners and helpers; Building caretaker | 0 |
0%
|
| 913 | Vehicle cleaners | 1 |
0%
|
| 914 | Laundry workers and pressers | 7 |
0.1%
|
| 915 | Street cleaners | 0 |
0%
|
| 916 | Window cleaners and other hand cleaning workers | 0 |
0%
|
| 921 | Agricultural, forestry and fishery labourers | 218 |
3%
|
| 931 | Mining and construction labourers | 162 |
2.2%
|
| 932 | Manufacturing labourers | 6 |
0.1%
|
| 933 | Transport and storage labourers | 27 |
0.4%
|
| 934 | Cyclo drivers | 0 |
0%
|
| 941 | Food preparation assistants | 6 |
0.1%
|
| 951 | Airpump operators and bicycle repairers | 0 |
0%
|
| 952 | Shoe cleaning and other street service elementary occupations | 0 |
0%
|
| 953 | Commercial sex workers | 0 |
0%
|
| 954 | Street petrol sellers | 1 |
0%
|
| 955 | Petty firewood sellers | 7 |
0.1%
|
| 956 | Other street vendors and related workers | 1 |
0%
|
| 961 | Refuse workers | 9 |
0.1%
|
| 962 | Rag Pickers | 1 |
0%
|
| 963 | Firewood and water collectors | 4 |
0.1%
|
| 964 | Other elementary workers | 0 |
0%
|
| 998 | Occupation not adequately described | 0 |
0%
|
| 999 | Occupation not stated | 72 |
1%
|
| Sysmiss | 698 |
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
The employment by occupation according to CSES 2009 is indicated in Table 6.10. The results show the total employed population (15-64 years) by main occupation for women and men. Generally almost half of the population in Cambodia were employed as skilled agricultural, forestry and fishery workers. This held for both women and men. Barely twice as many women than men were employed as service and sales workers while almost 30 percent more men than women were employed in elementary occupations. All together two thirds of the Cambodian population were employed in these three occupation categories. In the other occupational categories fairly small shares were employed. Some smaller differences between women and men were measured with an exception for plant and machine operators and assemblers and in armed forces where the employed share of men was ten times higher than the share of women.
Question post text
Enter '0' in Col 8a if unemloyed
If no work leave blank
Note: beggar and sex worker are occupations
If no work leave blank
Note: beggar and sex worker are occupations
Description
Universe
Previous members of households but no longer are living in the household