{"doc_desc":{"title":"Cambodia Socio-Economic Survey 2003-04","idno":"DDI-KHM-NIS-CSES-2008-v1","producers":[{"name":"Kim Chantharith","abbreviation":"KC","affiliation":"NIS","role":"Archivist"},{"name":"Duch Chamroeun","abbreviation":"DC","affiliation":"NIS","role":"Archivist"},{"name":"Saint Lundy","abbreviation":"SLD","affiliation":"NIS","role":"Archivist"}],"prod_date":"2011-09-16","version_statement":{"version":"version 1.0 (September 2011) The first documentation of the survey"}},"study_desc":{"title_statement":{"idno":"KHM-NIS-CSES-2008-v1.0","title":"Cambodia Socio-Economic Survey 2008","alt_title":"CSES 2008","translated_title":"Ang Ket Setha Kech Sang Kum Kech Kampuchea 2008"},"authoring_entity":[{"name":"National Institute of Statistics","affiliation":"Ministry of Planning"}],"oth_id":[{"name":"Statistics Sweden","affiliation":"SCB","email":"","role":"Technical Assistance (TA)"}],"production_statement":{"copyright":"(c) 2009, National Institute of Statistics, Cambodia","funding_agencies":[{"name":"Swedish International Development Agency","abbreviation":"SIDA","role":"Funding"}]},"distribution_statement":{"contact":[{"name":"Director, Demographic Statistics, Census and Survey Department","affiliation":"National Institute of Statistics","email":"census@camnet.com.kh","uri":"www.nis.gov.kh"},{"name":"Data User Service Center","affiliation":"National Institute of Statistics","email":"dusc@nis.gov.kh","uri":"www.nis.gov.kh"},{"name":"Director, ICT Department","affiliation":"National Institute of Statistics","email":"lundysaint@yahoo.com","uri":"www.nis.gov.kh"}]},"series_statement":{"series_name":"Socio-Economic\/Monitoring Survey [hh\/sems]","series_info":"The Cambodia Socio-Economic Survey (CSES) 2008 is the seventh Cambodia Socio Economic Survey conducted by National Institute of Statistics. The survey was conducted in the years 1993\/94, 1996, 1997, 1999, 2004, 2007 and 2008."},"version_statement":{"version":"Version v1.0 - Edited data for internal use only","version_date":"2011-09-16"},"study_notes":"Living conditions in Cambodia have improved considerably between 1993 and 2004, the period\n\ncovered by the Cambodia Socioeconomic Surveys (CSES). Life expectancy at birth increased\n\nfrom 52 to 60 years for men and from 56 to 65 years for women, mainly by rapidly\n\ndeclining infant and child mortality. Material living conditions improved substantially according\n\nto indicators on housing conditions and possession of durables. The differences in living\n\nconditions are large between urban and rural areas. The standard of living is better in Phnom\n\nPenh in almost all respects than in other urban areas, which in turn are better than the rural\n\nareas. The present report cover main aspects on selected important subject matter areas.\n\nSeparate reports on poverty will be available in the last quarter of 2005.\n\n\n\nThe National Institute of Statistics (NIS) of the Ministry of Planning (MoP) conducted the\n\nCambodia Socio-Economic Survey 2003-2004 (CSES 2004). The UNDP, The World Bank\n\nand the Swedish International Development Agency (Sida) sponsor the survey. Statistics\n\nSweden has provided the overall technical assistance. This is the fifth Cambodia Socio- Economic\n\nSurvey (CSES) conducted by the National Institute of Statistics, following the Socio\n\nEconomic Surveys in 1993\/94, 1996, 1997, and 1999.\n\n\n\nAll information collected in CSES 2004 is strictly confidential and will be used for statistical\n\npurpose only, in accordance with the 2005 Cambodian Law on Statistics.\n\n\n\nThe CSES 2004 enjoyed almost a 100 percent response rate. The high response rate together\n\nwith close and systematic fieldwork supervision by the core group members were a major\n\ncontribution for achieving high quality survey results.","study_info":{"topics":[{"topic":"Demographic characteristics","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"Housing [10.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"Agriculture","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"EDUCATION [6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"Health and Nutrition [8]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"housing [10.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"Labour Force","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The CSES is a household survey with questions to households and the household members. In the household questionnaire there are a number of modules with questions relating to the living conditions, e.g. housing conditions, education, health, expenditure\/income and labour force. It is designed to provide information on social and economic conditions of households for policy studies on poverty, household production and final consumption for the National Accounts and weights for the CPI. \n\n\n\nThe main objective of the survey is to collect statistical information about living standards of the population and the extent of poverty. Essential areas as household production and cash income, household level and structure of consumption including poverty and nutrition, education and access to schooling, health and access to medical care, transport and communication, housing and amenities and family and social relations. For recording expenditure, consumption and income the Diary Method was applied.\n\n\n\nAnother main objective of the survey is also to collect accurate statistical information about living standards of the population and the extent of poverty as an essential instrument to assist the government in diagnosing the problems and designing effective policies for reducing poverty, and in evaluating the progress of poverty reduction which are the main priorities in the \"Rectangular Strategy\" of the Royal Government of Cambodia.","coll_dates":[{"start":"2006-10","end":"2008-12-31","cycle":""}],"nation":[{"name":"Cambodia","abbreviation":"KHM"}],"geog_coverage":"National\n\nUrban\/Rural","geog_unit":"14 Domains:\n\n     11  individual provinces:\n\n           Bantey Meanchy\n\n           Battambang\n\n           Kampong Cham\n\n           Kampong Speu\n\n           Kampong Thom\n\n           Kanda\n\n           Phnom Penh\n\n           Prey Veng\n\n           Siem Reap\n\n           Svay Rieng\n\n           Takeo\n\n      3 groups of provinces:\n\n           Group 1: Kampong Chhnang, and Pursat; Tonle Sap provinces \n\n           Group 2: Kampot, Sihanouk Ville, Kaoh Kong, and Krong Keb; Coastal provinces\n\n           Group 3: Kratie, Steung Treng, Rattanakiri, Mondol Kiri, Preah Vihear, Oddor Meanchey, and Krong Pailin; Mountain provinces","analysis_unit":"Households\n\nIndividuals","universe":"All resident households in Cambodia","data_kind":"Sample survey data [ssd]","notes":"Poverty reduction is a major commitment by the Royal Government of Cambodia. Accurate statistical information about the living standards of the population and the extent of poverty is an essential instrument to assist the Government in diagnosing the problems, in designing effective policies for reducing poverty and in monitoring and evaluating the progress of poverty reduction. The Millennium Development Goals (MDG) has been adopted by the Royal Government of Cambodia and a National Strategic Development Plan (NSDP) has been developed. The MDGs are also incorporated into the \"Rectangular Strategy of Cambodia\". \n\n\n\nCambodia is still a predominantly rural and agricultural society. The vast majority of the population get their subsistence in households as self-employed in agriculture. The level of living is determined by the household's command over labour and resources for own-production in terms of land and livestock for agricultural activities, equipments and tools for fishing, forestry and construction activities and income-earning activities in the informal and formal sector. Data to calculate household production were obtained from the household questionnaire and the diaries as well as data from the labour force module. \n\n\n\nBriefly the four earlier CSES rounds have all made it possible to report sets of indicators on 7 main areas of social concern:\n\n\n\n1. Demographic characteristics\n\n2. Housing\n\n3. Agriculture\n\n4. Education\n\n5. Labour Force\n\n6. Health and Nutrition\n\n7. Household Income and Consumption\n\n\n\nThese 7 areas were also covered by corresponding modules in the CSES 2008, together with a diary method as well as a recall method, the other following the module design and variable content of previous"},"method":{"data_collection":{"data_collectors":[{"name":"National Institute of Statistics","abbreviation":"NIS","affiliation":"Ministry of Planning"}],"sampling_procedure":"The sampling design in the CSES 2008 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. \n\nStage 1: A stratified systematic pps6 sample of villages was selected. Strata were defined by provinces and the urban\/rural classification of villages. The size measure used in the systematic pps sampling was the number of households in the village according to the population census 1998. \n\nStage 2. One EA was selected by Simple Random Sampling (SRS), in each village selected in stage 1. \n\nStage 3. In each selected EA a sample of households was selected by systematic sampling. \n\n\n\nThe design described above was used for the CSES 2004 survey. In 2008, a subsample of the villages, or EAs, in the 2004 sample was selected by SRS. The villages and EAs surveyed in 2008 were thus included in the sample in both years. In each selected EA a sample of households was selected by systematic sampling. The selected households in 2008 are not necessarily the same as those included in the sample in 2004. \n\nThe selection of households in stage three was done in field by first listing the households in the selected EA, and then selecting a systematic sample of households. Selected households were observed during one calendar month. The allocation of the households over the months in 2008 was done so that each village in the 2008 sample was observed in the same calendar month as in 2004. \n\nThe sample size in 2008 was 360 villages or 3,600 households, compared to the sample for the 2004 survey of 720 villages or 12,000 households. \n\nSome provinces were excluded, due to cost and other reasons, in the sample for 2008. The estimates are however, adjusted for the under coverage error caused by excluding those provinces.","coll_mode":"Face-to-face [f2f]","research_instrument":"Four different questionnaires or forms were used in the survey:\n\n\n\nForm 1: Household listing sheets to be used in the sampling procedure in the enumeration areas.\n\n\n\nForm 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.\n\n\n\nForm 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 and HIV\/AIDS awareness.\n\n\n\nForm 4: Diary form on daily household expenditure and income","coll_situation":"The fieldwork started in October 2007 and finished in the end of December 2008. The results in the survey report are based on data from the calendar year 2008. \n\n\n\nSupervisors and enumerators were recruited by NIS and trained for the field work. The training took place at NIS in Phnom Penh. A comprehensive field manual was used during the training and the field work.  Each fieldwork team consisted of one supervisor and three enumerators. For each selected village one enumerator was assigned as responsible and carried out interviews of ten households in the village. \n\n\n\nAltogether, 30 enumerators and 10 supervisors, divided into 10 teams carried out the fieldwork at the same time. Two groups of teams were formed and alternated monthly so that each interviewer and supervisor worked in the field every second month. For a given month the team arrived in the village 2-3 days before the first day of the month for preparatory tasks like discussing with village authorities, filling in the Household listing form and sampled the households to be interviewed.","act_min":"Monitoring\n\nAny survey of the CSES dimensions needs a comprehensive system for quality management and monitoring. Only then can deviations from the target be tended to in time to avoid shortfalls. Interviewers and supervisors were initially divided into teams of five persons (one supervisor and four interviewers), making in total 50 teams for the fieldwork.\n\n\n\nThe CSES management group within NIS therefore set up a meticulous monitoring scheme to be implemented from the very beginning. The monitoring team did include at least five NIS staff. Commonly the DG of NIS has spent one week monthly while other top ranked NIS officers have been out for two weeks on average. At times other officials from NIS or the Ministry have participated.\n\n\n\nInspections entailed both announced and unannounced visits. Every team was visited at least twice during their fieldwork periods. The pur\u00adposes of these visits were several. One important purpose was to get a disciplinary effect on supervisors and enumerators from their knowledge that such inspections must be ex\u00adpected throughout the fieldwork month, including also at the very end of the diary month. Also important was to give feedback and encouragement to fieldworkers and to complement training by advice and suggestions and to sort out any problem that had arisen in the course of fieldwork in the village. Another area of concern was to ensure that the household listing and sampling was done in accordance with the procedures that were devised. \n\n\n\nThe Supervisor's Role\n\n\n\nThe supervisor was the leader of the team and was responsible for the coordination of the interviews, collaboration with local authorities, and checking for errors in the interviewed questionnaires. Enumerators were required to re-interview in case of errors found in the questionnaire. The supervisor then brought the final checked questionnaire to NIS. The supervisor was also responsible for the village questionnaire and the interviews of the village chief or representative. In the early stages of survey planning, a Survey Core Group of high-level NIS officers, chaired by the DG, was formed. After assigning supervisors and enumerators to the villages, five core group members had the task of monitoring fieldwork activities in the sampled villages. This supervision was done during two weeks a month. The major tasks were to check the presence of supervisor and enumerators, the status of the fieldwork, and the cooperation between the authorities of the village and the fieldworkers. They also addressed the issue of non-response households and partially filled-out questionnaires. It was found that non-response overall was very low and that the cooperation with local authorities was good. All taken together, the fieldwork was completed in a very satisfying manner.","weight":"The design weights are used to compensate for differences in the selection probabilities. The weight for the PSU  is inversely proportional to its selection probability. \n\n\n\nA further adjustment of the weights was done in order to calibrate the weights so that estimates of population totals would agree with projections based on the 1998 Population Census. Weights for households in the household file were adjusted so that estimated number of households agreed with census projections for each zone, urban and rural. Weights for individuals in the person file were adjusted so that the estimated number agreed with the projected number in each sex and age group in each zone (urban and rural). \n\n\n\nSome of the villages are very large. The best procedure would have been to put the very large villages (villages with a size Mhi larger than Mh\/nh) in a separate stratum. This was not done. As a result there are a few villages where the inclusion probability exceeds 1.00 and consequently the first stage sampling weight is below 1.00. To rectify this we set the first stage sampling weight (W1) equal to 1.00 for these villages.  When doing so we had to adjust the weights downwards for the other villages in the stratum in order to have the same sum of weights for the stratum as before the adjustment.\n\n\n\nThe second stage sampling weights W2 are calculated as the number of households in the village (according to the chairman) over the number of sampled households (10 or 20). There were actually two variables indicating the number of households in the village, one was the number obtained by the interviewer (variable E_HHs) and the other was the number obtained by the supervisor (HHs_Vill).\n\n\n\nThe household sampling weights (Wprel) are calculated by multiplying W1 by W2. All the sampled households in the village get the same household weight. A check of the weights revealed that there were a few extremely low and high weights. These \"outliers\" will tend to inflate the variance for some estimates. We decided to trim the weights by adjusting the extreme weights towards the center. Weights above 300 were adjusted downwards to 300 and weights below 30 were adjusted upwards to 30. In all only six weights were adjusted. The variation of the weights reflects changes in village sizes between the Census 1998 and the time of the survey. If the current number of households were the same as during the census in all the sample villages there would be no variation at all in the weights. The rather large variation in the weights is by and large a consequence of the long time lag between the census and the survey. \n\n\n\nThe distribution of the weights for the urban households shows a tendency towards bimodality. Most of the weights are centered around 100 - 120 but there is a cluster of weights around 200 - 220. The reason for this slight abnormality is that the proportional allocation of the sample to strata was not strictly followed. In two urban strata, the sample size was below proportion, resulting in substantially larger sampling weights.","method_notes":"The data processing was done at NIS in Phnom Penh using the SQL data management system that verifies the data entry operation. A team of data editors, data coders and data entry staff was formed. The data editors were checking the questionnaires before the data entry and also took care of errors to ensure that entered data were consistent with the collected data in the questionnaires or diaries. Before the data entry the coders also put relevant codes in the questionnaire and diary."},"analysis_info":{"response_rate":"The CSES 2008 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.","sampling_error_estimates":"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.\n\n\n\nThe 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.\n\n\n\nThe 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.\n\n\n\nThe 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.\n\n\n\nIntra-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."}},"data_access":{"dataset_availability":{"notes":"The main objective of the survey is to collect accurate statistical information about living\n\nstandards of the population and the extent of poverty as an essential instrument for identifying\n\nproblems and designing effective policies for reducing poverty, and in evaluating the progress\n\nof poverty reduction.\n\nLike the four previous survey rounds six main areas of social concern have been surveyed:\n\n- Household level and the structure of consumption including poverty and nutrition\n\n- Household production and cash income\n\n- Education and access to schooling\n\n- Health and access to medical care\n\n- Housing and amenities\n\n- Family and social relations\n\n\n\nThe CSES 2004 was carried out on a nationwide representative sample of 15,000 households\n\nwithin 900 Primary Sampling Units (PSU) corresponding to 867 villages. It was designed to\n\nprovide information on social and economic conditions of households for policy studies on\n\npoverty, household production, final consumption for the National Accounts, and weights for\n\nthe Consumer Price Index (CPI). It was divided into 15 monthly samples of 1,000 households\n\neach in 60 PSUs from November-03 till January-05.\n\nUsing data for the 15 months, reliable estimates were produced for 11 individual provinces;\n\nBantey Meanchy, Battambang, Kampong Cham, Kampong Speu, Kampong Thom, Kandal,\n\nPhnom Penh, Pery Veng, Siem Reap, Svay Rieng and Takeo. The other 13 provinces were\n\ngrouped according to zone:\n\nTonle Sap provinces: Kampong Chhnang and Pursat\n\nCoastal provinces: Kampot, Sihanouk Ville, Kaoh Kong and Krong Keb\n\nPlateau\/Mountain: Kratie, Steung Treng, Rattanakiri, Mondol Kiri, Preah Vihear, Oddor\n\nMeanchey, and Krong Pailin\n\nThe 1998 Population Census, carried out by NIS, was used as sampling frame in the sampling\n\ndesign of the CSES 2004.\n\nThe survey covers private households with one or more persons. Nomadic households are\n\nincluded in principal. Excluded are:\n\n- People living in institutions (such as long term hospitals, prisons, monasteries, military\n\nquarters)\n\n- Diplomatic and UN households in the country\n\n- Other foreigners in the country\n\n- Armed forces residing in military bases"},"notes":"The main objective of the survey is to collect accurate statistical information about living\n\nstandards of the population and the extent of poverty as an essential instrument for identifying\n\nproblems and designing effective policies for reducing poverty, and in evaluating the progress\n\nof poverty reduction.\n\nLike the four previous survey rounds six main areas of social concern have been surveyed:\n\n- Household level and the structure of consumption including poverty and nutrition\n\n- Household production and cash income\n\n- Education and access to schooling\n\n- Health and access to medical care\n\n- Housing and amenities\n\n- Family and social relations\n\n\n\nThe CSES 2004 was carried out on a nationwide representative sample of 15,000 households\n\nwithin 900 Primary Sampling Units (PSU) corresponding to 867 villages. It was designed to\n\nprovide information on social and economic conditions of households for policy studies on\n\npoverty, household production, final consumption for the National Accounts, and weights for\n\nthe Consumer Price Index (CPI). It was divided into 15 monthly samples of 1,000 households\n\neach in 60 PSUs from November-03 till January-05.\n\nUsing data for the 15 months, reliable estimates were produced for 11 individual provinces;\n\nBantey Meanchy, Battambang, Kampong Cham, Kampong Speu, Kampong Thom, Kandal,\n\nPhnom Penh, Pery Veng, Siem Reap, Svay Rieng and Takeo. The other 13 provinces were\n\ngrouped according to zone:\n\nTonle Sap provinces: Kampong Chhnang and Pursat\n\nCoastal provinces: Kampot, Sihanouk Ville, Kaoh Kong and Krong Keb\n\nPlateau\/Mountain: Kratie, Steung Treng, Rattanakiri, Mondol Kiri, Preah Vihear, Oddor\n\nMeanchey, and Krong Pailin\n\nThe 1998 Population Census, carried out by NIS, was used as sampling frame in the sampling\n\ndesign of the CSES 2004.\n\nThe survey covers private households with one or more persons. Nomadic households are\n\nincluded in principal. Excluded are:\n\n- People living in institutions (such as long term hospitals, prisons, monasteries, military\n\nquarters)\n\n- Diplomatic and UN households in the country\n\n- Other foreigners in the country\n\n- Armed forces residing in military bases","dataset_use":{"conf_dec":[{"txt":"All information collected in CSES 2008 is strictly confidential and will be used for statistical purpose only, in accordance with the 2005 Cambodian Law on Statistics.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director General","affiliation":"National Institute of Statistics","email":"sythan@forum.org.kh","uri":"www.nis.gov.kh"}],"cit_req":"Cambodia Socio-Economic Survey 2008 (CSES 2008), National Institute of Statistics, Ministry of Planning, Cambodia","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. \n\n\n\n2. 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. \n\n\n\n3. 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. \n\n\n\n4. 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. \n\n\n\n5. 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. \n\n\n\n6. An electronic copy of all reports and publications based on the requested data will be sent to the National Institute of Statistics.","disclaimer":"The user of the data acknowledges that the National Institute of Statistics, Cambodia beares no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey"}