{"type":"survey","doc_desc":{"title":"KHM_2004_ICPS_v01_M","idno":"DDI_KHM_2004_ICPS_v01_M","producers":[{"name":"Bonarith Chhun","abbreviation":"BC","affiliation":"NIS","role":"Archivist"},{"name":"Chao Pheav","abbreviation":"CP","affiliation":"NIS","role":"Archivist"},{"name":"Saint Lundy","abbreviation":"SLD","affiliation":"NIS","role":"Archivist"},{"name":"Accelerated Data Program","abbreviation":"ADP","affiliation":"International Household Survey Network","role":"Editing for IHSN Survey Catalog"}],"prod_date":"2009-09-28","version_statement":{"version":"Version 1.0 - National Institute of Statistics - Original documentation of the study.\nVersion 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 14 May 2013."}},"study_desc":{"title_statement":{"idno":"KHM_2004_ICPS_v01_M","title":"Inter-Censal Population Survey 2004","alt_title":"CIPS 2004","translated_title":"Ankgat Pracheachun Peak Kandal Chumreun 2004"},"authoring_entity":[{"name":"National Institute of Statistics","affiliation":"Ministry of Planning"}],"oth_id":[{"name":"Mr. Nott Rama Rao","affiliation":"UNFPA","email":"","role":"Technical Adviser"},{"name":"Mr. Harry Lode","affiliation":"UNFPA","email":"","role":"Data Processing Consultant"},{"name":"Dr. Hans Pettersson","affiliation":"UNFPA","email":"","role":"Sampling Expert"}],"production_statement":{"funding_agencies":[{"name":"United Nations Population Fund","abbreviation":"UNFPA","role":"Technical assistance, sponsorship"},{"name":"Deutsche Gesellschaft f\u00fcr Technische Zusammenarbeit","abbreviation":"GTZ","role":"Donor"},{"name":"Sweden International Development Cooperation Agency","abbreviation":"SIDA","role":"Donor"},{"name":"United Nations Children's Fund","abbreviation":"UNICEF","role":""}]},"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"}]},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen]","series_info":"The Cambodia Inter-Censal Population Survey 2004 (CIPS) was conducted in March 2004 with midnight of March 3, (00 hours) as the reference time. It is a nationally representative sample survey taken between two censuses, the 1998 census and the proposed 2008 census, in order to update information on population size and growth, fertility, mortality, migration and other population characteristics as well as household facilities and amenities. Due to the national elections and administrative issues, the CIPS was undertaken in March 2004 instead of 2003, which would otherwise have been the five-year midpoint between the 1998 and 2008 Censuses."},"version_statement":{"version":"Version 1.0: Edited data for internal use only.","version_date":"2004-11-03"},"study_info":{"keywords":[{"keyword":"Housing and Population","uri":"","vocab":""}],"topics":[{"topic":"DEMOGRAPHY AND POPULATION [14]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The Cambodia Inter-Censal Population Survey, 2004 was designed not only to obtain the much-needed demographic data following the census, but also to serve as a means to train the staff of the NIS and Provincial Planning Offices in demographic data collection.\n\nThere are plans to produce in-depth studies on fertility, mortality, migration, literacy and education, labour force, housing and household amenities, and population projections based on the results of the survey.\n\nThe Cambodia Inter-Censal Population Survey 2004 (CIPS) is a nationally representative sample survey taken between two censuses, the 1998 census and the proposed 2008 census, in order to update information on population size and growth and other population characteristics as well as household facilities and amenities. Due to the national elections and administrative issues, the CIPS was undertaken in March 2004 instead of 2003, which would have been the five-year midpoint between the 1998 and 2008 censuses.\n\nThe conduct of the CIPS 2004 is an important step in the creation of a continuous flow of data that will allow Cambodia to prepare plans and programmes supported by a strong database.\n\nThe Cambodia Inter-Censal Population Survey 2004 was conducted with the objective of providing information on the following indicators: \n- Sex, age and marital status \n- Births and Deaths\n- Migration status \n- Literacy\/Educational level \n- Economic characteristics \n- Housing and household amenities \n- Other population and household information\n\nThese fresh data will allow for calculations and reliable projections of: \n- Population size and growth \n- Fertility \n- Mortality \n- Migration \n\nThe survey was also intended to train the national staff in sampling, data collection, data processing, analysis and dissemination.","time_periods":[{"start":"2004","end":"2004","cycle":""}],"coll_dates":[{"start":"2004-02-28","end":"2004-03-10","cycle":""}],"nation":[{"name":"Cambodia","abbreviation":"KHM"}],"geog_coverage":"National","geog_unit":"Individual Provinces\t\n  1. Kampong Cham (03)\t\n  2. Kampong Chhnang (04)\t\n  3. Kampong Speu (05)\t\n  4. Kampong Thom (06)\t\n  5. Kandal (08)\t\n  6. Phnom Penh (12)\t\n  7. Prey Veng (14)\t\n  8. Pursat (15)\t\n  9. Siem Reap (17)\t\n10. Svay Rieng (20)\t\n11. Takeo (21)\t\n\t\nGroups of Provinces\t\n12. Banteay Meanchey (01)\t\n      Oddar Meanchey (22)\t\n\t\n13. Battambang (02)\t\n      Pailin (24)\t\n\t\n14. Kampot (07)\t\n      Kep (23)\t\n\t\n15. Koh Kong (09)\t\n      Sihanoukville (18)\t\n            \t\n16. Kratie (10)\t\n      Mondul Kiri (11)\t\n      Preah Vihear (13)\t\n      Ratanak Kiri (16)\t\n      Stung Treng (19)","analysis_unit":"Individual, Household","universe":"All Population and housing for all regular households in Cambodia excluding special settlements and institutional households.","data_kind":"Sample survey data [ssd]","notes":"The scope of the Cambodia Inter-Censal Population Survey includes:\n\n1. Sex, age and marital status\n2. Births and deaths\n3. Literacy\/Educational level\n4. Economic characteristics\n5. Housing and household amenities\n6. Other population and household information\n\nCollection of fresh data above will allow for the calculations and reliable projections of:\n\n1. Population size and growth\n2. Fertility\n3. Mortality\n4. Migration\n\nThe survey was also intended to train the national staff in sampling, data collection, data processing, analysis and dissemination.","study_scope":"The scope of the Cambodia Inter-Censal Population Survey includes:\n\n1. Sex, age and marital status\n2. Births and deaths\n3. Literacy\/Educational level\n4. Economic characteristics\n5. Housing and household amenities\n6. Other population and household information\n\nCollection of fresh data above will allow for the calculations and reliable projections of:\n\n1. Population size and growth\n2. Fertility\n3. Mortality\n4. Migration\n\nThe survey was also intended to train the national staff in sampling, data collection, data processing, analysis and dissemination."},"method":{"data_collection":{"data_collectors":[{"name":"National Institute of Statistics","abbreviation":"NIS","affiliation":"Ministry of Planning"}],"sampling_procedure":"The sampling design for the CIPS 2004 is a three-stage stratified cluster sampling design, it is a probability sample selection of 100 percent of the Cambodian villages coverage areas, the survey covered only regular households and excludes special settlements and institutional households.\n\nThe CIPS 2004 was conducted in a nationwide representative sample of 21,000 households within selected 700 villages (primary sampling units) out of 13,886 villages in Cambodia. The 700 villages were selected from updated frame (list of villages for Cambodia). \n\nThe General Population Census 1998 databases of the National Institute of Statistics together with the new updated list of villages that were excluded in the general population census of 1998 was used as the sampling frame for the sampling design of the CIPS 2004.\n\nThe frame has the following identification particulars:\n1- Province code\n2- Province name \n3- District code\n4- District name\n5- Commune code\n6- Commune name\n7- Village Code\n8- Village name\n9- Size of village (number of households)\n10- Area code (1 = Urban, 2 = Rural)\n\nA three-stage sample design has been used for the CIPS. In the first stage a sample of villages was selected. The villages were implicitly stratified into 45 strata (21 provinces each with rural\/urban strata i.e. 42 strata plus 3 provinces each totally urban, i.e. 3 urban strata). The villages were selected using linear systematic sampling with probabilities proportionate to size (PPS). The size measure used for the selection was number of households in the village according to the 1998 Census with estimation for a few additional villages not in the 1998 census frame.\n \nIn the second stage one Census Enumeration Area was selected randomly (in the head office) in each selected PSU. At the beginning of the fieldwork all households in the EA were listed. A systematic sample of 30 non-vacant households was selected as the third stage of selection. \n\nThe listing of households in the EA would become cumbersome if there are many households in the EA. This might be the case when the enumeration area had grown substantially since the census. When the EA was large (population wise) the interviewer was instructed to split the EA into two or more approximately equal-sized segments and to select one segment randomly. All households in the selected segment were listed. Out of the 700 Sample PSUs, 598 were from the rural super stratum and the remaining 102 were from the urban super stratum. For more information on sampling for the survey the general report at national level may be referred to.\n\nNote: All provincial headquarters were treated as urban. In the case of Sihanoukville, Kep and Pailin, the entire province was treated as urban. In Phnom Penh province, the four districts of Doun Penh, Chamkar Mon, 7 Makara and Tuol Kouk were classified as urban. All the remaining areas of the country were rural. Further, urban and rural areas are being reclassified in Cambodia. While these reclassifications have already been drafted, they have not yet been approved by the Royal Government of Cambodia. Upon endorsement and adoption, the new classifications will be used in future census\/surveys.","coll_mode":"Face-to-face [f2f]","research_instrument":"The draft questionnaires for the CIPS 2004 were more or less on the 1998 General Census pattern. Some modifications, however, were made by adding new questions on \n\n(i) Whether children aged 0-14 living with own mother \n(ii) Whether a person's mother is alive and \n(iii) Details of deaths in households in the last one year with focus on maternal mortality. \n\nQuestions mentioned at (i) and (ii) were intended respectively to estimate fertility (by application of own child method) and mortality (by application of orphan hood method). The questions to be included were carefully considered by a Working Group of Cambodia Inter-Censal Population Survey 2004, whose members were mostly from Ministries, NGOs and International Agencies. The Questionnaires were tested twice in the field (both urban and rural) by NIS staff in November 2003. The purpose of the pre-test was to have a full-dressed rehearsal of the whole process and particularly to test the questions in the field so as to make corrections in wording or definitions and to estimate the time taken for enumeration area mapping, house listing, sampling and enumeration of selected household. Based on the pre-test experience the questionnaires were modified and finalized.\n\nTwo types of questionnaires were used in the CIPS 2004: Form A House-list and Form B Household Questionnaire.\n\nThe Form A was used to collect information on buildings containing one or more households during the preliminary round preceding survey night (March 3, 2004). The information collected related to: construction material of wall, roof and floor, whether it is a wholly or partly residential building, number of households within the building, name and sex of head of household and number of persons usually living in the household.\n\nThe Form B, which has five parts, was used for survey enumeration in the period closely following the reference time. \n\nIn Part I, information on usual members of the selected household present on survey night, visitors present as well as usual members absent on survey night, was collected. \n\nPart II was used to collect information on each usual member of the household and each visitor present on survey night. The information collected included: full name, relationship to household head, sex, age, natural mother, child aged 0-14 living with own mother, marital status, age at first marriage, mother tongue, religion, place of birth, previous residence, duration of stay, reason for migration, literacy, full time education and economic characteristics. \n\nPart III was used to collect information on females of reproductive age (15-49) as well as children born to these women. \n\nThe information collected in part IV related to household conditions and facilities: main source of light, main cooking fuel used, whether toilet facility is available, main source of drinking water and number of living rooms occupied by household. \n\nPart V was used to record the following information in respect of deaths in the household within the last one year:- name of deceased, sex, relationship to head of household, age at death, whether the death has been registered with the civil authorities or not, the cause of death and maternal mortality information.","coll_situation":"For every Primary Sampling Unit (PSU) or village, a field listing was organized in order to make a current and complete listing of the households located within selected EAs. At the first step the enumerator would have to draw sketch maps of villages and EA maps. Residential and partly residential buildings, were numbered using stickers and marked on map by covering a prescribed path of travel in order to make sure that all buildings in which households resided were accounted for.\n \nDuring the primary operations of the survey (lasting four days from 28 February to 2 March 2004) buildings\/structures wholly or partly used for residential purpose in selected EAs (700 in all) were listed in the House List called Form A. After the listing operation had been completed, a fixed sample size of 30 households was selected in each EA by the supervisors. This selection was carried out systematically by computing the sampling interval in each EA and choosing the random start, by using linear sampling. It was closely supervised by NIS SC to ensure correctness in the selection process. \n\nDuring the main phase of the survey, the Household Questionnaire called Form B was completed by enumerators in each of the 30 sample households selected in his\/her EA. Overall, the supervisory teams found respondents were willingly answering the survey questions.","act_min":"The supervisor is placed between the enumerator and the Province Survey Officer (PSO) or his nominated staff and is responsible for the work of the enumerator under his charge.\n\nHis main task is the supervision of a maximum of three villages and three enumerators who will work directly under him during the survey. He is responsible for completely enumerating all 30 households in the Sample EA of village or PSU allotted to him with the help of enumerators.\n\nIt is the supervisor's task to see that enumerators would efficiently carry out their assignment of enumerating all persons living on Survey Night in their EA.\n\nThe supervisor may also assist in the training of enumerators. There will be training courses when trainers will train enumerators and supervisors by giving them a series of lectures as well as class and field exercises.","weight":"The probability of selection and hence the weight, for the four variables (Total households, Total persons, Total males, Total females) is therefore different than the probabilities and corresponding weights for Form B and the four variables for Form A selected as the two stage sampling selection of first and second stage probabilities.\n\nWeight variables have been included in the data files person_F_update and dead_F_update.","cleaning_operations":"The completed records (Forms A, Form B, Form I, Form II, Map, and other Forms) were systematically collected from the provinces by NIS Survey Coordinators on the due date and submitted to the team receptionist at NIS. NIS Survey Coordinators formed into three teams of two persons were trained during March 7-10 to receive and arrange the completed forms and maps for processing after due checking form the field. Control forms were prescribed by DUC to record every form without any omission. These records were carefully checked, registered and stored in the record room. Editing and coding of the questionnaires were done manually, after which the questionnaires were submitted to the computer section for further processing. The instruction for editing and coding were revised and expanded. Training on editing and coding was conducted for senior staff, who in turn had to train other editors and coders. \n\nThe purpose of the editing process was to remove matters of obvious inconsistency, incorrectness and incompleteness, and to improve the quality of data collected. Coding had to be done very carefully in respect of birthplace and previous place of residence by using the district and province codes, and occupation and industry by using the UN International Standard Classification of Occupation (ISCO) and the International Standard Industrial Classification (ISIC) respectively. For these purposes, NIS utilized staff with sound knowledge and experience of the survey and its concepts. Those who worked as trainers or supervisors were put on this job supplemented by well-trained and tested staff. Editing and Coding was done by two teams (each with six editors and one team leader); so that one of the editors who were trained specifically in occupation\/industry coding should do the coding for columns 20 and 22 of part 2 household questionnaire. The work of team members was completely checked by the Team leaders. The training on editing and coding was done from 23 to 26 March. The manual processing commenced on March 29 and was completely done by the end of May 2004.","method_notes":"The form A is completely identical to the one used during the 1998 General Census, whereas the main survey questionnaire, Form B, has had a few new questions added on mother alive, whether living with own mother, age at first marriage, registration of birth and a new panel consisting of 9 questions related to Deaths in Households in the last 12 months.\n\nIn order to capture the data recorded on Form A and Form B two separate data entry applications needed to be developed. A decision to develop the data entry using CSPro software package, and to generate the tabulation using IMPS, had already been taken by NIS. CSPro, which stands for Census and Survey Processing System, is a public service system free of cost disseminated by US. Census Bureau. IMPS (Integrated Microcomputer Processing System), has been adopted in many statistical offices, worldwide.\n\nBoth methodologies were discussed with senior NIS staff and it was agreed to adopt a mixture of the two approaches. Many NIS staff members received a twoweek\nCSPro training course (5 to 14 May 2003). This provided them a thorough insight into the CSPro language and good understanding of the kind of edits normally performed in census and survey data processing.\n\nThe data entry section consisted of 14 keyboard operators working under two supervisors. They were thoroughly trained on data entry procedures and the\nCSPro data entry software from 20 to 23 April 2004. The questionnaires were keyed-in twice in order to minimize typing errors (i.e. full verification of the data was achieved). Data entry commenced on 26 April and was completed by 30 June 2004.\n\nComputer editing and correction was performed using the CONCOR module of IMPS. After computing the weights the Survey results were tabulated with the CENT and QUICKTAB module of IMPS. Tabulation was completed by the end of August 2004. Multiple backups of the Survey data were made onto Magnetic Optical disks."},"analysis_info":{"response_rate":"Response rate is 95 per cent.","sampling_error_estimates":"Calculations of sampling errors have been made for some estimates of totals, means and proportions for variables in Form B.\n\nThe software used for the calculations is STATA 8.0. For the calculations presented here we have assumed that stratification was done on provinces and urban\/rural (an implicit57 stratification on province and urban\/rural was used for the sample selection). \n\nIn seven of the 45 strata there are only one PSU (EA) selected. This causes a problem for the standard error calculations, it is not possible get standard errors in these strata. In these strata we have split the sole EA in two parts and defined the parts as two PSUs.\n\nThe standard errors are generally rather small for estimates for major domains like urban\/rural and men\/women. The coefficients of variation (CV) are below 1% in many cases. The coefficients of variation are substantially higher for provincial estimates, especially for provinces with a small sample (e.g. province19). Design effects (Deff) have been calculated for some estimates. They are, as expected, quite low for estimates of demographic characteristics. They are considerably higher for estimates of socio-economic characteristics like employment status (also as expected). For the demographic characteristics \"age at first marriage\" and \"marital status\" we find design effects below 5 for major domains like men\/women and urban\/rural. The socio-economic characteristics are typically more \"clustered\" than the demographic characteristics, this shows up in generally higher design effects. For the major domain estimates we find design effects up to 20 and occasionally very high values of 200 or more. These \"freak\" values occur when the sample in terms of number of PSUs is small and when the PSU averages (or proportions) show large variation. One example is the design effect of 285 for the estimate of proportion of government employees in urban areas. The proportion is varying substantially between the 102 PSUs in the domain, the range is from 0 % to75%."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"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.\"","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director General","affiliation":"National Institute of Statistics","email":"","uri":"www.nis.gov.kh"},{"name":"Director, ICT Department","affiliation":"National Institute of Statistics","email":"","uri":"www.nis.gov.kh"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nNational Institute of Statistics (NIS), Cambodia. Inter-Censal Survey 2004. Ref. KHM_2004_ICPS_v01_M. Dataset downloaded from http:\/\/www.nis.gov.kh\/nada\/index.php\/catalog on [date].","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\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\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\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\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\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","data_files":[{"file_id":"F1","file_name":"person_F_update","description":"The file contains data for Parts 2 (Individual Particulars) and 3 (Fertility Information of Females Aged 15 and Over) of the CIPS 2004 questionnaire Form B.","case_count":"0","var_count":"41","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F2","file_name":"dead_F_update","description":"The file contains data on Part 5 (Deaths in Households) of the CIPS 2004 questionnaire Form B.","case_count":"0","var_count":"17","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"F3","file_name":"housing_F_update","description":"The file contains data on Part 4 (Housing Conditions and Facilities) of the CIPS 2004 questionnaire Form B.","case_count":"0","var_count":"20","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null}],"variables":[{"vid":"V1","name":"hhid","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Household ID","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_width":"9","loc_rec_seg_no":"1"},{"vid":"V2","name":"pid","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Person ID","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_width":"9","loc_rec_seg_no":"1"},{"vid":"V3","name":"province","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Province","var_qstn_qstnlit":"Province","var_val_range":[{"units":"REAL","min":"1","max":"24"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Banteay Meanchey","stats":null,"type":null},{"value":"2","labl":"Battambang","stats":null,"type":null},{"value":"3","labl":"Kampong Cham","stats":null,"type":null},{"value":"4","labl":"Kampong Chhnang","stats":null,"type":null},{"value":"5","labl":"Kampong Speu","stats":null,"type":null},{"value":"6","labl":"Kampong Thom","stats":null,"type":null},{"value":"7","labl":"Kampot","stats":null,"type":null},{"value":"8","labl":"Kandal","stats":null,"type":null},{"value":"9","labl":"Koh Kong","stats":null,"type":null},{"value":"10","labl":"Kratie","stats":null,"type":null},{"value":"11","labl":"Mondul Kiri","stats":null,"type":null},{"value":"12","labl":"Phnom Penh","stats":null,"type":null},{"value":"13","labl":"Preah Vihear","stats":null,"type":null},{"value":"14","labl":"Prey Veng","stats":null,"type":null},{"value":"15","labl":"Pursat","stats":null,"type":null},{"value":"16","labl":"Ratanak Kiri","stats":null,"type":null},{"value":"17","labl":"Siemreap","stats":null,"type":null},{"value":"18","labl":"Sihanoukville","stats":null,"type":null},{"value":"19","labl":"Stung Treng","stats":null,"type":null},{"value":"20","labl":"Svay Rieng","stats":null,"type":null},{"value":"21","labl":"Takeo","stats":null,"type":null},{"value":"22","labl":"Oddar Meanchey","stats":null,"type":null},{"value":"23","labl":"Kep","stats":null,"type":null},{"value":"24","labl":"Pailin","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_start_pos":"1","loc_end_pos":"2","loc_width":"2","loc_rec_seg_no":"1"},{"vid":"V4","name":"district","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"District","var_qstn_qstnlit":"District","var_val_range":[{"units":"REAL","min":"1","max":"16"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_start_pos":"3","loc_end_pos":"4","loc_width":"2","loc_rec_seg_no":"1"},{"vid":"V5","name":"commune","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Commune","var_qstn_qstnlit":"Commune","var_val_range":[{"units":"REAL","min":"1","max":"24"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_start_pos":"5","loc_end_pos":"6","loc_width":"2","loc_rec_seg_no":"1"},{"vid":"V6","name":"village","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Village","var_qstn_qstnlit":"Village","var_val_range":[{"units":"REAL","min":"1","max":"23"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_start_pos":"7","loc_end_pos":"8","loc_width":"2","loc_rec_seg_no":"1"},{"vid":"V7","name":"urbrur","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Urbanity","var_qstn_qstnlit":"Urbanity","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_txt":"In all provinces, districts containing provincial headquarter towns are treated as urban areas. Krong Preah Sihanouk, Krong Kaeb and Krong Pailin are treated as entirely urban. In Phnom Penh municipality, the four districts or khands of Doun Penh, Chamkar Mon, Prampir Meakkakra and Tuol Kouk are classified as urban. All the remaining areas in the country are treated as rural.","var_catgry":[{"value":"1","labl":"Urban","stats":null,"type":null},{"value":"2","labl":"Rural","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_start_pos":"9","loc_end_pos":"9","loc_width":"1","loc_rec_seg_no":"1"},{"vid":"V8","name":"hhno","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Sample Reference Number","var_qstn_qstnlit":"Sample Reference Number","var_val_range":[{"units":"REAL","min":"1","max":"86"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A group of persons who commonly live together and would take meals from a common kitchen unless the exigencies of work prevented any of them from doing so. They may be a household of persons related by blood or a household of unrelated persons or having a mix of both. Example of unrelated households are boarding houses, messes, hotels residential hotels, rescue homes, jails, pagodas, etc. These are called institutional households. \n\nInstitutional households were not included in CIPS, 2004.","var_format":"numeric","var_format_schema":"other","fid":"F1","loc_start_pos":"10","loc_end_pos":"11","loc_width":"2","loc_rec_seg_no":"1"},{"vid":"V9","name":"lno","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Sl. Number","var_qstn_qstnlit":"SI. 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If mother not living in the household write \"0\".","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons aged 0-14","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"Mother not living in household","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_start_pos":"20","loc_end_pos":"21","loc_width":"2","loc_rec_seg_no":"1"},{"vid":"V15","name":"marital","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Marital Status","var_qstn_postqtxt":"1 = Never Married (skip to col. 10)\n\nEnter code","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Never 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of Birth","var_qstn_postqtxt":"If in this village, enter code 1.\nIf in another village, give name of district of that village and write name of province within brackets.\nIf outside Cambodia, write name of country.","var_val_range":[{"units":"REAL","min":"1","max":"9999"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1","loc_start_pos":"28","loc_end_pos":"31","loc_width":"4","loc_rec_seg_no":"1"},{"vid":"V20","name":"prevres","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","labl":"Previous Residence","var_qstn_qstnlit":"Where have you been living before?","var_qstn_postqtxt":"If always lived in this village, enter code 1 and skip to 16.\nIf in another village, give name of district of that village and write name of province within brackets.\nIf outside Cambodia, write name of 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Therefore, the following means of converting the highest grade completed to the highest level completed was used. \n\n1. None: No formal education \t\n2. Primary Not Completed: Studied up to some grade\/class ranging from first  to fifth grade\/class \t\n3. Primary: Completed sixth grade\/class \t\n4. Lower Secondary: Completed seven to ninth grade\/class\n5. Secondary: Completed tenth to twelfth grade\/class\n6. Secondary\/Baccalaureate holder: Completed tenth to twelfth grade\/class with  Baccalaureate. \t\n7. Vocational Training courses: Completed vocational training for one or two  years after completing lower secondary for  diploma holder or after completing secondary for Baccalaureate holder\n8. Under Graduate: Post-secondary Baccalaureate not completed\n9. Graduate: Degree and Post-graduate Degree\n10. 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strike or lockout in the organization they were working.\n(iv)Persons who were self employed (e.g. Running a shop by himself or herself, selling eatables, practicing as doctors, lawyer etc).\n\nUnemployed \nAll persons aged 7 and above who were without work, but were seeking work or available for work for 6 months (183 days) or more during the one year preceding the survey date.","var_catgry":[{"value":"1","labl":"Employed (Fill in Cols. 19 to 23)","stats":null,"type":null},{"value":"2","labl":"Unemployed (Employed any time before)","stats":null,"type":null},{"value":"3","labl":"Unemployed (Never employed any time before)Inactive","stats":null,"type":null},{"value":"4","labl":"Home maker","stats":null,"type":null},{"value":"5","labl":"Student","stats":null,"type":null},{"value":"6","labl":"Dependent","stats":null,"type":null},{"value":"7","labl":"Rent-receiver, Retired or other income recipient","stats":null,"type":null},{"value":"8","labl":"Other 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