Socio-Economic Survey 2009
Cambodia, 2009
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
KHM_2009_CSES_v01_M
Title
Socio-Economic Survey 2009
Country
| Name | Country code |
|---|---|
| Cambodia | KHM |
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Series Information
The 2009 Cambodia Socio-Economic Survey (CSES) is the eighth Cambodia Socio Economic Survey conducted by National Institute of Statistics.
Abstract
The Cambodian Socio-Economic Survey 2009 (CSES) is the eighth survey collecting data from household and individuals in Cambodia on different areas relating to poverty. The survey is conducted by the National Institute of Statistics (NIS) of the Ministry of Planning (MOP). The first Socio-Economic Survey to a nationwide sample was conducted in 1994 (CSES 1994).
The CSES2004 was the fifth survey that was conducted as a countrywide sample survey of villages and households in Cambodia. CSES2004 was the first survey with a collection of income and receipts, expenditure and consumption of own production from diary were daily transactions are reported. The sample size in CSES2004 was 1000 households every month. Since 2007 the Socio-Economic Survey is conducted every year with a sample size of 300 households every month. The annual surveys are undertaken as a part of the project, "Capacity Development for Socio-Economic Surveys and Planning" of the Royal Government of Cambodia. This project is supported and financed by SIDA (Swedish International Development Cooperation Agency).
The principal aim of the Socio-Economic Surveys is to collect important information from representative villages and households on various facets of socio-economic conditions of the people of Cambodia. The CSES 2009 is almost similar to the 2004 Socio-Economic survey with a sample size of 1000 households every month. The data collected will be used to produce indicators of levels of living and poverty of the people in different geographical areas and in different social and economic classes. These indicators will help in monitoring and analyzing poverty in Cambodia and in formulating and targeting anti-poverty program for alleviating the removal of different weaker sections of the Cambodian population. Such poverty-oriented analysis has already been started using CSES 1997, CSES 1999, CSES 2004 and CSES2007. The CSES 2009 will contribute in a big way towards the pursuit of these objectives in Cambodia.
General Objectives:
CSES 2009 would extend the work started through CSES 2004 and the annual CSES 2007 and 2008 and would primarily aim at producing information needed for planning and policy making for reduction and eventual eradication of poverty in Cambodia. This goal has been given high priority in Cambodia's National Strategic Development Plan (NSDP 2005-2010). In addition to this, the survey data would help in various other ways in developmental planning and policy making in the country. They would also prove useful for the preparation of national accounts of the country.
A long-term objective of the entire project is to build national capability in Cambodia for conducting socio-economic surveys and for utilizing survey data for planning for national development and social welfare.
Specific Objectives:
Among specific objectives, the following deserve special mention:
1) Obtain data on infrastructural facilities in villages, especially facilities for schooling and health care and associated problems.
2) Obtain data on retail prices of selected food, non-food and medicine items prevailing in the villages.
3) Collect data on migration
4) Collect data on utilization of education, housing and land ownership
5) Collect data on household assets and outstanding loans.
6) Collect data on household's construction activities.
7) Collect information on maternal health, child health and care and health check of children.
8) Collect information on health of the household members related to illness, injury and disability.
9) Collect information on economic activities including the economic activities for children aged between 5 and 17 years.
10) Collect information on victimization by the household
11) Collect information on the presence of the household members.
12) Collect information on household income and receipts, expenditure and consumption of own production (also in diaries).
The CSES2004 was the fifth survey that was conducted as a countrywide sample survey of villages and households in Cambodia. CSES2004 was the first survey with a collection of income and receipts, expenditure and consumption of own production from diary were daily transactions are reported. The sample size in CSES2004 was 1000 households every month. Since 2007 the Socio-Economic Survey is conducted every year with a sample size of 300 households every month. The annual surveys are undertaken as a part of the project, "Capacity Development for Socio-Economic Surveys and Planning" of the Royal Government of Cambodia. This project is supported and financed by SIDA (Swedish International Development Cooperation Agency).
The principal aim of the Socio-Economic Surveys is to collect important information from representative villages and households on various facets of socio-economic conditions of the people of Cambodia. The CSES 2009 is almost similar to the 2004 Socio-Economic survey with a sample size of 1000 households every month. The data collected will be used to produce indicators of levels of living and poverty of the people in different geographical areas and in different social and economic classes. These indicators will help in monitoring and analyzing poverty in Cambodia and in formulating and targeting anti-poverty program for alleviating the removal of different weaker sections of the Cambodian population. Such poverty-oriented analysis has already been started using CSES 1997, CSES 1999, CSES 2004 and CSES2007. The CSES 2009 will contribute in a big way towards the pursuit of these objectives in Cambodia.
General Objectives:
CSES 2009 would extend the work started through CSES 2004 and the annual CSES 2007 and 2008 and would primarily aim at producing information needed for planning and policy making for reduction and eventual eradication of poverty in Cambodia. This goal has been given high priority in Cambodia's National Strategic Development Plan (NSDP 2005-2010). In addition to this, the survey data would help in various other ways in developmental planning and policy making in the country. They would also prove useful for the preparation of national accounts of the country.
A long-term objective of the entire project is to build national capability in Cambodia for conducting socio-economic surveys and for utilizing survey data for planning for national development and social welfare.
Specific Objectives:
Among specific objectives, the following deserve special mention:
1) Obtain data on infrastructural facilities in villages, especially facilities for schooling and health care and associated problems.
2) Obtain data on retail prices of selected food, non-food and medicine items prevailing in the villages.
3) Collect data on migration
4) Collect data on utilization of education, housing and land ownership
5) Collect data on household assets and outstanding loans.
6) Collect data on household's construction activities.
7) Collect information on maternal health, child health and care and health check of children.
8) Collect information on health of the household members related to illness, injury and disability.
9) Collect information on economic activities including the economic activities for children aged between 5 and 17 years.
10) Collect information on victimization by the household
11) Collect information on the presence of the household members.
12) Collect information on household income and receipts, expenditure and consumption of own production (also in diaries).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Households
- Individuals
- Villages/ Communities
- Individuals
- Villages/ Communities
Scope
Notes
The 2009 Cambodia Socio-Economic Survey covered the following topics:
HOUSEHOLDS
- Basic Household Information
- Food Consumption during the Last 7 Days
- Education and Literacy
- Information on Migration
- Housing
- Household Economic Activities
- Household Liabilities
- Household Income from Other Sources
- Construction Activities in the Past 12 Months
- Durable Goods
- Maternal Health
- Child Health
- Health Check of Children Under 5
- Health Care Seeking and Expenditure
- Disability
- Current Economic Activity
- Usual Economic Activity
- Victimization
- Summary of Presence in the Household
- Household Expenditure and Consumption
- Household Income and Receipts
VILLAGES
- Demographic Information
- Economy and Infrastructure
- Rainfall and Natural Disasters
- Education
- Health
- Retail Prices
- Employment and Wages
- Access to Common Property Resources during the Last 5 Years
- Sales Prices of Agricultural Land in the Village
- Recruitment of Children for Work outside the Village
HOUSEHOLDS
- Basic Household Information
- Food Consumption during the Last 7 Days
- Education and Literacy
- Information on Migration
- Housing
- Household Economic Activities
- Household Liabilities
- Household Income from Other Sources
- Construction Activities in the Past 12 Months
- Durable Goods
- Maternal Health
- Child Health
- Health Check of Children Under 5
- Health Care Seeking and Expenditure
- Disability
- Current Economic Activity
- Usual Economic Activity
- Victimization
- Summary of Presence in the Household
- Household Expenditure and Consumption
- Household Income and Receipts
VILLAGES
- Demographic Information
- Economy and Infrastructure
- Rainfall and Natural Disasters
- Education
- Health
- Retail Prices
- Employment and Wages
- Access to Common Property Resources during the Last 5 Years
- Sales Prices of Agricultural Land in the Village
- Recruitment of Children for Work outside the Village
Coverage
Geographic Coverage
National
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Institute of Statistics | Ministry of Planning |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Swedish International Development Cooperation Agency | SIDA | Financial assistance |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Statistics Sweden | SCB | Technical assiatance |
Sampling
Sampling Procedure
The Cambodia Socio-Economic Survey 2003-04 (CSES) is conducted in a nationwide representative sample of 12,000 households on annual basis. The sampling design has remained the same since CSES 2004 and the sample size in CSES 2009 was the same as in 2004. The CSES 2009 was conducted from January to December 2009, i.e. the calendar year 2009.
The size measures used for the selection were number of households in the village according to the 1998 General Population Census, whereas the CSES 2009 using number of households in the village from the 2008 Population Census.
The sampling design for the 2009 survey is the same as that used for the CSES 2004. The sampling design for the 2004 CSES is described in for instance National Institute of Statistics (2005a).
The sampling frame for the 2009 survey is based on preliminary data from the General Population Census conducted in 2008. The sample is selected as a three stage cluster sample with villages in the first stage, enumeration areas in the second stage and households in the third.
The sampling design in the CSES 2009 survey is a three-stage design. In stage one a sample of villages is selected, in stage two an Enumeration Area (EA) is selected from each village selected in stage one, and in stage three a sample of households is selected from each EA selected in stage two. The sampling designs used in the three stages were:
Stage 1. A systematic pps sample of villages, Primary Sampling Units (PSUs) was selected from each stratum,
i.e. without replacement systematic sampling with probabilities proportional to size. The size measure used was the number of households in the village according to the sampling frame.
Stage 2. One EA was selected by Simple Random Sampling (SRS), in each village selected in stage 1.
As mentioned above, in a few large villages more than one EA was selected.
Stage 3. In each selected EA a sample of households was selected by systematic sampling.
The selection of villages and EAs were done at NIS while the selection of households in stage three was done in field.
The size measures used for the selection were number of households in the village according to the 1998 General Population Census, whereas the CSES 2009 using number of households in the village from the 2008 Population Census.
The sampling design for the 2009 survey is the same as that used for the CSES 2004. The sampling design for the 2004 CSES is described in for instance National Institute of Statistics (2005a).
The sampling frame for the 2009 survey is based on preliminary data from the General Population Census conducted in 2008. The sample is selected as a three stage cluster sample with villages in the first stage, enumeration areas in the second stage and households in the third.
The sampling design in the CSES 2009 survey is a three-stage design. In stage one a sample of villages is selected, in stage two an Enumeration Area (EA) is selected from each village selected in stage one, and in stage three a sample of households is selected from each EA selected in stage two. The sampling designs used in the three stages were:
Stage 1. A systematic pps sample of villages, Primary Sampling Units (PSUs) was selected from each stratum,
i.e. without replacement systematic sampling with probabilities proportional to size. The size measure used was the number of households in the village according to the sampling frame.
Stage 2. One EA was selected by Simple Random Sampling (SRS), in each village selected in stage 1.
As mentioned above, in a few large villages more than one EA was selected.
Stage 3. In each selected EA a sample of households was selected by systematic sampling.
The selection of villages and EAs were done at NIS while the selection of households in stage three was done in field.
Response Rate
The CSES 2009 enjoyed almost a 100 percent response rate. The high response rate together with close and systematic fieldwork supervision by the core group members were a major contribution for achieving high quality survey results.
Weighting
The weights are determined by the sampling design, design weights, and adjusted for nonresponse and other deficiencies such as under coverage and, to improve the precision of the estimates.
The design weight for household k in the selected enumeration area hij is given by
W(hijk)=[M(h)/n(h).M(hi)] x [E(hi)/1] x [M(hji)/m(hji)] (2.1)
where,
M(h) is the number of households in stratum h according to the frame,
M(hi) is the number of households in village hi according to the frame,
n(h) is the number of villages selected from stratum h,
E(hi) is the number of enumeration areas in village hi,
M(hji) is the number of households in EA hij according to the listing of households by the enumerator and,
m(hji) is the number of households interviewed in EA hij
Some of the EAs have boundaries that are difficult to identify in field. In such cases there is a risk that the enumerator wrongly includes households outside the EA or excludes households within the EA. In some very large EAs the enumerator did not list all households so the number of households in the selected EA was unknown. To avoid these problems the weights were instead calculated by
W(hijk)=[M(h) / n(h).M(hi)] x [M(hi*)/m(hji)] (2.2)
where M(hi*) is the number of households in village hi according to the village chairman. Note that, in villages with only one EA the right-hand sides of (2.1) and (2.2) coincide. In villages where the EAs are of approximately the same size the right-hand sides of (2.1) and (2.2) are approximately equal. The same adjustment of the design weights were done in the 2004 survey, see National Institute of Statistics (2005a).
The weights calculated by (2.2) lead to underestimated population size. The sampling frame was constructed from a preliminary version of the population census 2008 and, the number of households per village in the frame differs from the final version. The weights were therefore adjusted using population projections and the census 2008. The population projections available at the time when the weights were calculated were preliminary and only available for age groups and sex. Therefore, also information from the census, such as population per province and household size was used to adjust the weights. Using the resulting adjusted weights, the population size is estimated to 13,966,718, and the number of households is estimated to 2,938,650.
The design weight for household k in the selected enumeration area hij is given by
W(hijk)=[M(h)/n(h).M(hi)] x [E(hi)/1] x [M(hji)/m(hji)] (2.1)
where,
M(h) is the number of households in stratum h according to the frame,
M(hi) is the number of households in village hi according to the frame,
n(h) is the number of villages selected from stratum h,
E(hi) is the number of enumeration areas in village hi,
M(hji) is the number of households in EA hij according to the listing of households by the enumerator and,
m(hji) is the number of households interviewed in EA hij
Some of the EAs have boundaries that are difficult to identify in field. In such cases there is a risk that the enumerator wrongly includes households outside the EA or excludes households within the EA. In some very large EAs the enumerator did not list all households so the number of households in the selected EA was unknown. To avoid these problems the weights were instead calculated by
W(hijk)=[M(h) / n(h).M(hi)] x [M(hi*)/m(hji)] (2.2)
where M(hi*) is the number of households in village hi according to the village chairman. Note that, in villages with only one EA the right-hand sides of (2.1) and (2.2) coincide. In villages where the EAs are of approximately the same size the right-hand sides of (2.1) and (2.2) are approximately equal. The same adjustment of the design weights were done in the 2004 survey, see National Institute of Statistics (2005a).
The weights calculated by (2.2) lead to underestimated population size. The sampling frame was constructed from a preliminary version of the population census 2008 and, the number of households per village in the frame differs from the final version. The weights were therefore adjusted using population projections and the census 2008. The population projections available at the time when the weights were calculated were preliminary and only available for age groups and sex. Therefore, also information from the census, such as population per province and household size was used to adjust the weights. Using the resulting adjusted weights, the population size is estimated to 13,966,718, and the number of households is estimated to 2,938,650.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2009-01-01 | 2009-12-28 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Enumerator and Supervisor Training
Prior to the start of the fieldwork intensive interviewer and supervisor training were carried out. The 200 interviewers and 50 supervisors recruited were split into two groups, each group consisting of 100 interviewers and 25 supervisors. The two groups alternated so that the first group did their fieldwork during odd survey months (i.e. January, March, May, July, September, and November 2009) while the second group covered the even survey months (i.e. February, April, June, August, October, and December 2009).
The training was designed with this in mind. The first group was trained in December 2008 while the second group was trained in January 2009 using premises at the NIS head office. Training of the first and second group was provided in Khmer by the appointed NIS core group and was assisted by Sida consultants. The supervisors and interviewers were jointly trained for two weeks over the 4 forms of questionnaires. During the training a special session on Gender issues relating to data collection was provided by Ministry of Women's Affair (supported by UNDP). Yet another session was held by the Cambodian Disabled People's Organization to get the enumerators better understanding the concept and definitions of disability. The Working Group on Water and Sanitation provided useful training material on the definition on improved water sources and sanitation.
Field Operations
Interviewers and supervisors were initially divided into teams consisting of five persons (one supervisor and four interviewers), making in total 50 teams for the fieldwork. Each month 25 teams were working in the field with a workload of 10 households per interviewer. In urban areas four PSU's (“villages”) were allocated to one team while in rural areas two PSU's were allocated. The fieldwork plan was designed in order to gather information from about 40 households monthly per team.
For a given month the team arrived in the village three days before the first day of the interview month to tend to preparatory tasks like discussing with village authorities, filling in the Household Listing Form and thereafter sample those households to be interviewed. The Village Form was filled in by the supervisor.
The Household Questionnaire had 17 sections that were filled in by the interviewer during the first visit to the household, and in the following four weeks according to the following scheme:
During a survey month different questions were asked in different weeks according to the following:
· Week 1. Questions about education, migration, and housing
· Week 2. Questions about economic activity, agricultural and non-agricultural business, household liabilities and other household incomes.
· Week 3. Questions about construction, durable goods, health (maternal, child, general and disability)
· Week 4. Questions about current economic activities, usual economic activities and Victimization
When the month ended, the team went back to the NIS headquarter in Phnom Penh. Questionnaires from the same PSU were delivered to the NIS team for editing and coding by the supervisor in a packet including all the documents used and produced in the fieldwork, such as maps, enumeration lists and questionnaires. Before going to the villages the teams were briefed and introduced to minor adjustments of the interviewing procedure that were made as a result of monitoring activities and feed-back from the data processing.
Prior to the start of the fieldwork intensive interviewer and supervisor training were carried out. The 200 interviewers and 50 supervisors recruited were split into two groups, each group consisting of 100 interviewers and 25 supervisors. The two groups alternated so that the first group did their fieldwork during odd survey months (i.e. January, March, May, July, September, and November 2009) while the second group covered the even survey months (i.e. February, April, June, August, October, and December 2009).
The training was designed with this in mind. The first group was trained in December 2008 while the second group was trained in January 2009 using premises at the NIS head office. Training of the first and second group was provided in Khmer by the appointed NIS core group and was assisted by Sida consultants. The supervisors and interviewers were jointly trained for two weeks over the 4 forms of questionnaires. During the training a special session on Gender issues relating to data collection was provided by Ministry of Women's Affair (supported by UNDP). Yet another session was held by the Cambodian Disabled People's Organization to get the enumerators better understanding the concept and definitions of disability. The Working Group on Water and Sanitation provided useful training material on the definition on improved water sources and sanitation.
Field Operations
Interviewers and supervisors were initially divided into teams consisting of five persons (one supervisor and four interviewers), making in total 50 teams for the fieldwork. Each month 25 teams were working in the field with a workload of 10 households per interviewer. In urban areas four PSU's (“villages”) were allocated to one team while in rural areas two PSU's were allocated. The fieldwork plan was designed in order to gather information from about 40 households monthly per team.
For a given month the team arrived in the village three days before the first day of the interview month to tend to preparatory tasks like discussing with village authorities, filling in the Household Listing Form and thereafter sample those households to be interviewed. The Village Form was filled in by the supervisor.
The Household Questionnaire had 17 sections that were filled in by the interviewer during the first visit to the household, and in the following four weeks according to the following scheme:
During a survey month different questions were asked in different weeks according to the following:
· Week 1. Questions about education, migration, and housing
· Week 2. Questions about economic activity, agricultural and non-agricultural business, household liabilities and other household incomes.
· Week 3. Questions about construction, durable goods, health (maternal, child, general and disability)
· Week 4. Questions about current economic activities, usual economic activities and Victimization
When the month ended, the team went back to the NIS headquarter in Phnom Penh. Questionnaires from the same PSU were delivered to the NIS team for editing and coding by the supervisor in a packet including all the documents used and produced in the fieldwork, such as maps, enumeration lists and questionnaires. Before going to the villages the teams were briefed and introduced to minor adjustments of the interviewing procedure that were made as a result of monitoring activities and feed-back from the data processing.
Questionnaires
Questionnaires
Five different questionnaires or forms were used in the survey:
Form 1: Household listing sheets to be used in the sampling procedure in the enumeration areas.
Form 2: Village questionnaire answered by the village leader about economy and infrastructure, crop production, health, education, retail prices and sales prices of agriculture, employment and wages, and recruitment of children for work outside the village.
Form 3: Household questionnaire with questions for each household member, including modules on migration, education and literacy, housing conditions, crop production, household liabilities, durable goods, construction activities, nutrition, fertility and child care, child feeding and vaccination, health of children, mortality, current economic activity, health and illness, smoking, HIV/AIDS awareness, and victimization.
Form 4: Diary form on daily household expenditure and income
Form 5: Time use form detailing activities of household members during one 24-hour period.
Form 1: Household listing sheets to be used in the sampling procedure in the enumeration areas.
Form 2: Village questionnaire answered by the village leader about economy and infrastructure, crop production, health, education, retail prices and sales prices of agriculture, employment and wages, and recruitment of children for work outside the village.
Form 3: Household questionnaire with questions for each household member, including modules on migration, education and literacy, housing conditions, crop production, household liabilities, durable goods, construction activities, nutrition, fertility and child care, child feeding and vaccination, health of children, mortality, current economic activity, health and illness, smoking, HIV/AIDS awareness, and victimization.
Form 4: Diary form on daily household expenditure and income
Form 5: Time use form detailing activities of household members during one 24-hour period.
Data Processing
Data Editing
The NIS team commenced their work of checking and coding in beginning of February after the first month of fieldwork was completed. Supervisors from the field delivered questionnaires to NIS. Sida project experts and NIS Survey Manager helped solving relevant matters that became apparent when reviewing questionnaires on delivery.
In late 2006 and beginning of 2007 a new system for data processing and storage were introduced for the Cambodia Socio Economic Survey (CSES). It includes a relational database system for storing CSES data in SQL format and an application framework developed in-house for data-entry. Since NIS staff already was familiar with Visual Basic and Microsoft SQL Server database software the transition from previous data processing system was feasible. A modern network infrastructure within the NIS was also implemented to host the new CSES system and facilitate for concurrent data-entry.
The application and storage platform developed in 2006 and supervised by Statistics Sweden consultancy has since been used consecutively for all CSES data processing from 2007 and onwards.
The database contains data tables for all modules comprising the CSES household, village and diary questionnaires. There are also code-tables used for data integrity controls during data-entry and tables for data management including error lists. In all the database counts a total of 185 tables divided by:
In late 2006 and beginning of 2007 a new system for data processing and storage were introduced for the Cambodia Socio Economic Survey (CSES). It includes a relational database system for storing CSES data in SQL format and an application framework developed in-house for data-entry. Since NIS staff already was familiar with Visual Basic and Microsoft SQL Server database software the transition from previous data processing system was feasible. A modern network infrastructure within the NIS was also implemented to host the new CSES system and facilitate for concurrent data-entry.
The application and storage platform developed in 2006 and supervised by Statistics Sweden consultancy has since been used consecutively for all CSES data processing from 2007 and onwards.
The database contains data tables for all modules comprising the CSES household, village and diary questionnaires. There are also code-tables used for data integrity controls during data-entry and tables for data management including error lists. In all the database counts a total of 185 tables divided by:
Data Appraisal
Estimates of Sampling Error
In order to provide a basis for assessing the reliability or precision of CSES estimates, the estimation of the magnitude of sampling error in the survey data shall be computed. Since most of the estimates from the survey are in the form of weighted ratios, thus variances for ratio estimates will thus be presented.
The Coefficients of Variation (CV) on national level estimates are generally below 4 percent. The exception is the CV for total value of assets where there are rather high CVs especially in the urban areas, which should be expected.
The CVs are somewhat higher in the urban and rural domains but still generally below 7 percent. For the five zones, the average CVs are in the range 5 to 13 percent with a few exceptions where the CVs are above 20 percent. For provinces the CVs for food consumption are 9 percent on average.
The sample take within Primary Sampling Units (PSU) was set to 10 households per PSU in the CSES 1999. When data on variances became available, it was possible to make crude calculations of the optimal sample take within PSU. Calculations on some of the central estimates in the CSES 1999 show that the design effects in most cases are in the range 1 to 5.
Intra-cluster correlation coefficients have been calculated based on the design effects. These correlation coefficients are somewhat high. The reason is that the characteristics that are measured tend to be concentrated (clustered) within the PSUs. The optimal sample size within PSUs under different assumptions on cost ratios and intra-cluster correlation coefficients was then calculated. The cost ratio is the average cost for adding a village to the sample divided by the average cost of including an extra household in the sample. In the CSES, it was chosen to adopt a fairly low cost ratio due to the fact that the interview time per household is long. Under this assumption the optimal sample size is probably around 10 households per village for many of the CSES indicators.
The Coefficients of Variation (CV) on national level estimates are generally below 4 percent. The exception is the CV for total value of assets where there are rather high CVs especially in the urban areas, which should be expected.
The CVs are somewhat higher in the urban and rural domains but still generally below 7 percent. For the five zones, the average CVs are in the range 5 to 13 percent with a few exceptions where the CVs are above 20 percent. For provinces the CVs for food consumption are 9 percent on average.
The sample take within Primary Sampling Units (PSU) was set to 10 households per PSU in the CSES 1999. When data on variances became available, it was possible to make crude calculations of the optimal sample take within PSU. Calculations on some of the central estimates in the CSES 1999 show that the design effects in most cases are in the range 1 to 5.
Intra-cluster correlation coefficients have been calculated based on the design effects. These correlation coefficients are somewhat high. The reason is that the characteristics that are measured tend to be concentrated (clustered) within the PSUs. The optimal sample size within PSUs under different assumptions on cost ratios and intra-cluster correlation coefficients was then calculated. The cost ratio is the average cost for adding a village to the sample divided by the average cost of including an extra household in the sample. In the CSES, it was chosen to adopt a fairly low cost ratio due to the fact that the interview time per household is long. Under this assumption the optimal sample size is probably around 10 households per village for many of the CSES indicators.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director General | National Institute of Statistics | sythan@forum.org.kh | www.nis.gov.kh |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics | Ministry of Planning | info@nis.gov.kh | www.nis.gov.kh |
Confidentiality
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."
Access conditions
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. An electronic copy of all reports and publications based on the requested data will be sent to the National Institute of Statistics.
2. 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.
3. 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.
4. 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.
5. 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.
6. An electronic copy of all reports and publications based on the requested data will be sent to the National Institute of Statistics.
Citation requirements
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 acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Cambodia National Institute of Statistics (NIS). Cambodia Socio-Economic Survey 2009. Dataset downloaded from [website/source] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Cambodia National Institute of Statistics (NIS). Cambodia Socio-Economic Survey 2009. Dataset downloaded from [website/source] on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI Document ID
DDI_WB_KHM_2009_CSES_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | World Bank | Documentation of the DDI |
Date of Metadata Production
2011-06-08
DDI Document version
Version 01(June 2011)