Labor Force Survey 2000
Cambodia, 2000
Identification
KHM_2000_LFS_v01_M
Labor Force Survey 2000
Angkat Kamlaing Pulkam 2000
| Name | Country code |
|---|---|
| Cambodia | KHM |
Labor Force Survey [hh/lfs]
The 2000 Labor Force Survey is the first nationwide labor force survey conducted in Cambodia.
The Labor Force Survey (LFS) of Cambodia conducted in November 2000 is the first of the series of nationwide labor force surveys. Its primary purpose was to gather data on labor force and employment levels and structures needed for national accounts estimation. The results of the survey are intended for national account estimation and for providing a quantitative framework for planning and policy formulation affecting the labor market.
Sample survey data [ssd]
Individual
Version
Version 01: Edited and anonymized data.
2000-09-18
Scope
The survey involves the collection of data on the demographic and economic characteristics of the population. The scope of the survey with respect to items of information is as follows:
-
Part I - For all persons
a) Relationship to Household Head
b) Age
c) Sex -
Part II - For Persons 10 Years Old and Over
a) Education (Current School Attendance and Highest Educational Attainment)
b) Current Activity (Past Week)
c) Primary Occupation
d) Economic Activity or Industry
e) Nature and Status of Employment
f) Remuneration, Earnings and Commissions
g) Hours Worked
h) Availability for / Seeking Additional Work
i) Reasons for not Being Available for Work
| Topic | Vocabulary | URI |
|---|---|---|
| LABOUR AND EMPLOYMENT [3] | CESSDA | http://www.nesstar.org/rdf/common |
| EDUCATION [6] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
National Urban and rural areas Provincial (24 provinces of Cambodia)
Domain for LFS 2000 is the province. The study covers 24 domains, namely:
1 Banteay Meanchey
2 Battambang
3 Kampong Cham
4 Kampong Chhnang
5 Kampong Speu
6 Kampong Thom
7 Kampot
8 Kandal
9 Koh Kong
10 Kratie
11 Mondul Kiri
12 Phnom Penh
13 Preah Vihear
14 Prey Veng
15 Pursat
16 Ratanak Kiri
17 Siemreap
18 Sihanoukville
19 Stung Treng
20 Svay Rieng
21 Takeo
22 Oddar Meanchey
23 Kep
24 Pailin
The survey covered all members (individuals) of the sample households, specifically:
- All members for geographic part of data collection; and
- All members aged 10 and over for education and labour force parts.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Institute of Statistics | Ministry of Planning |
| Name | Role |
|---|---|
| Asian Development Bank | Funding and TA |
| Name | Affiliation | Role |
|---|---|---|
| Dr. V.N. Gnanathurai | Asian Development Bank | Assistant Chief Economist |
| Dr. Bishnu Dev Pant | Asian Development Bank | Development Indicators and Policy Research Division, Economic Research Department |
| Ms. G. Cubinar | Asian Development Bank | Survey Management and Methodology Consultant |
Sampling
The LFS adopts a stratified two-stage systematic sampling design with villages as the primary sampling units (PSUs) and households as secondary sampling units (SSUs). In each village, a systematic sample of 10 households were taken.
The sample consisted of 500 villages sampled from the truncated 1999 CSES sampling frame. Then from each sample village, a fix sample of 10 households was taken using circular systematic sampling with random start. It covered 500 sample villages or a total of 5000 sample households nationwide.
Despite the length of the questionnaire, the respondents cooperated with the survey staff and provided answers to both questionnaires and it was possible to achieve a 100% response rate. At this stage it is not possible to comment on item non-response, and completeness of information provided by the respondents, and the respondent's fatigue arising from the length of the interviews which may have had a bearing on these issues.
The sampling design used in LF 2000 is not self-weighting. Therefore it was necessary to calculate the weights or inflation factors applicable to both villages and households of each sampled village, before the data for villages or households were aggregated. The weights for estimation of the aggregates were computed (or the villages and households in the 24 domains, or 24 provinces, into which the country is divided. The need to adjust the weights for non-response did not arise as completed questionnaires from all sampled villages and households were retrieved achieving a 100% response rate. Inflation factors were checked for each domain by comparison of the sum of the weighting factors of all sampled households which constitute an estimate of the total number of households in the domain against the total number of households for the domain in the sampling frame. The weighting factors (WEIGHT) with the corresponding identifiers of villages and households were fed as an input into the computer to be merged with the data files.
Survey instrument
The following are the LFS forms used during the field enumeration and a brief outline of the fieldwork procedures:
Listing Sheet (LFS Form 1)
This is a sheet containing a list the buildings, housing units and households within an enumeration area (EA). Other information pertaining to population of households was also recorded. Listing sheet was used to record all households in the village or part thereof selected for household enumeration. The current list of households was necessary for sampling households and also as an input to derive household weights.
Questionnaire (LFS Form 2)
This is the form used for interviewing and recording information about a household. This questionnaire also contains information on the demographic and economic characteristics of the population.
-
Part I - For all persons
a) Relationship to Household Head
b) Age
c) Sex -
Part II - For Persons 10 Years and Over
a) Education (Current School Attendance and Highest Educational Attainment)
b) Current Activity (Past Week)
c) Primary Occupation
d) Economic Activity or Industry
e) Nature and Status of Employment
f) Remuneration, Earnings and Commissions Received
g) Hours Worked
h) Availability for /Seeking Additional Work
i) Reasons for not Being Available for Work
Data collection
| Start | End |
|---|---|
| 2000-11-29 | 2000-12-12 |
| Name | Affiliation |
|---|---|
| National Institute of Statistics | Ministry of Planning |
The field control procedures provided for the supervisors to inspect and make on the spot checks while the interview was being conducted and they were also required to re-interview a sub-sample of the households already interviewed by the enumerators under his supervision. To ensure effective supervision through inspections and re-interviews, adequate funds were allocated for the payment of honoraria to supervisors for their supervisory duties. Some of the core group staff functioned as area coordinators and they were in overall charge of supervision as well as the coordination of the areas assigned to them.
Field data collection for the LFS consists of the following major activities:
1. Mapping - Drawing a sketch map of the EA (an entire village or a segment) taking into account the boundaries and physical features of the EA.
2. Canvassing - Door to door visit in the entire EA to look for enumeration units (households) to be listed to ensure a complete coverage of the area.
3. Listing - Listing of the households using LFS Form 1.
4. Plotting - Indicating the listed buildings and households on the EA map using specified symbols.
5. Enumeration - Interviewing and accomplishing of LFS Form 2Field enumerators' and supervisors' and coordinator training was conducted for two days. A total of 130 staff was trained, consisting of 95 enumerators, 34 supervisors and one coordinator. Each interviewer was assigned selected villages based on the sampling procedure. In order to complete the data collection activity within the planned time frame, each enumerator was assigned about 40 to 70 households in four to six villages. The questionnaires were filled by the method of personal interview.
A pre-listing of households was undertaken by the enumerator to generate the current list of households, which was essential to select the sample households based on the systematic sampling procedure. In addition to preparing a current list of buildings, housing units and households certain additional information such as the number of household members, principal economic activity of the household was also collected.
After the selection of sample households, the selected households were revisited to interview one or more responsible members of the household to fill in the questionnaire.
Data processing
All completed questionnaires were brought to NIS for processing. Although completed questionnaires were checked and edited by supervisors in the field, because of the length of questionnaires and the complexity of the topics covered the need for manual editing and coding by trained staff was accepted as an essential priority activity to produce a cleaned data file without delay. In all 4 staff comprising 3 processing staff and 1 supervisor were trained for two days by the project staff. An instruction manual for manual editing and coding was prepared and translated into Khmer for the guidance of processing staff.
In order to produce an unedited data file, keying in the data as recorded by field enumerators and supervisors, (without subjecting data to manual edit as required by the Analysis Component Project staff), it was necessary to structure manual editing as a two-phase operation. Thus in the first phase, the processing staff coded the questions such as those industry, and occupation which required coding. Editing was restricted to selected structural edits and some error corrections. These edits were restricted to checking the completeness and consistency of responses, legibility, and totaling of selected questions. Error corrections were made without canceling or obliterating the original entry made by the enumerator, by inserting the correction close to the original entry.
Much of the manual editing was carried out in the second phase, after key entry and one hundred percent verification and extraction of error print outs. A wide range of errors had to be corrected which was expected in view of the complexity of the survey and the skill background of the enumeration and processing staff. The manual edits involved the correction of errors arising from incorrect key entry, in-correct/ failure to include identification, miss-coding of answers, failure to follow skip patterns, misinterpretation of measures, range errors, and other consistency errors.
Data appraisal
Sampling errors are those that are related to the size of the sample and the kind of samples selected. Non-sampling errors are those such as arising from errors committed by the interviewers in recording information, response errors and encoding or processing errors.
The results obtained from the survey are subject to sampling errors. Sampling errors in surveys occur as a result of limiting the survey observations to a subset rather than the whole population. These errors are related to the sample size selected and sampling design adopted in the survey. In order to maintain these errors within acceptable levels, the efficient sampling design with the sample allocation described earlier was adopted.
In addition to sampling errors, the estimates are also subject to non-sampling errors that arise in different stages of any survey operation. These include errors that are introduced at the preparatory stage errors committed during data collection including those committed by interviewers and respondents processing errors
The first item includes errors arising from questionnaire design, preparation of definitions and instructions, preparation of table formats etc. The other two categories are clear from the terminology used. The use of trained enumerators and processing staff and careful organization and thorough supervision are essential to control and minimize these errors.
As already referred to, it was possible to obtain responses from all the villages and households that were sampled, and thus it was not necessary to adjust the data for non-response. Thus the bias that is introduced into the estimates as a result of non-response was avoided.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | National Institute of Statistics | www.nis.gov.kh | sythan@forum.org.kh |
| Director, ICT Department | National Institute of Statistics | www.nis.gov.kh | slundy@nis.gov.kh |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The Statistics Law Article 22 specifies matters of confidentiality. It explicitly says that all staff working with statistics within the Government of Cambodia "shall ensure confidentiality of all individual information obtained from respondents, except under special circumstances with the consent of the Minister of Planning. The information collected under this Law is to be used only for statistical purposes." |
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The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the National Institute of Statistics.
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The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
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No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Institute of Statistics.
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No attempt will be made to produce links among datasets provided by the National Institute of Statistics, or among data from the National Institute of Statistics and other datasets that could identify individuals or organizations.
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Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Institute of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
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An electronic copy of all reports and publications based on the requested data will be sent to the National Institute of Statistics.
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
National Institute of Statistics (NIS), Cambodia. Labor Force Survey 2000. Ref. KHM_2000_LFS_v01_M. Dataset downloaded from http://www.nis.gov.kh/nada/index.php/catalog on [date].
Disclaimer and copyrights
The user of the data acknowledges that the National Institute of Statistics, Cambodia bears no responsibility for use of the data or for interpretations or inferences based upon such uses.
(c) 2000, National Institute of Statistics, Cambodia
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director, Demographic Statistics Census and Survey Department | National Institute of Statistics | census@camnet.com.kh | www.nis.gov.kh |
| Data User Service Center | National Institute of Statistics | dusc@nis.gov.kh | www.nis.gov.kh |
Metadata production
DDI_KHM_2000_LFS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Lim Penh | National Institute of Statistics | Archivist |
| Suy Sotheara | National Institute of Statistics | Archivist |
| Saint Lundy | National Institute of Statistics | Archivist |
| Accelerated Data Program | International Household Survey Network | Editing for IHSN Survey Catalog |
2009-09-28
Metadata version
Version 1.0 - National Institute for Statistics - Original documentation of the study.
Version 2.0 - Edited version by ADP based on Version 1.0 of NIS downloaded from http://www.nis.gov.kh/nada/index.php/catalog on 9 May 2013.