{"type":"survey","study_desc":{"title_statement":{"idno":"NPL_2012_AHS_v01_M","title":"Annual Household Survey 2012-2013","alt_title":"AHS 2012-2013","translated_title":"Barshik Ghar Pariwar Sarverkshan 2012-2013"},"authoring_entity":[{"name":"Central Bureau of Statistics","affiliation":"National Planning Commission Secretariat, Government of Nepal"}],"production_statement":{"producers":[{"name":"Central Bureau of Statistics","affiliation":"National Planning Commission Secretariat, Government of Nepal","role":""}],"copyright":"(c) 2012, Central Bureau of Statistics, Government of  Nepal","funding_agencies":[{"name":"Government of Nepal","abbreviation":"GoN","role":""},{"name":"United Nations Development Fund","abbreviation":"UNDP","role":""}]},"distribution_statement":{"contact":[{"name":"Director of Publication, Dissemination and Library Section","affiliation":"Central Bureau of Statistics","email":"archive@cbs.gov.np ","uri":"www.cbs.gov.np"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"Central Bureau of Statistics (CBS) has carried out the Annual Household Survey (AHS) 2012\/13 for the first time. It is First round survey."},"version_statement":{"version":"v2: Final Data for public access.","version_date":"2014-05-30"},"study_info":{"keywords":[{"keyword":"Consumption, Employment","uri":""}],"topics":[{"topic":"Labor Markets","vocab":"World Bank","uri":""},{"topic":"Poverty","vocab":"World Bank","uri":""}],"abstract":"Annual Household Survey 2012-2013 is a nation- wide household survey, data collection operation of which was conducted from December 2012 to July 2013. The AHS consists of multiple topics related to household information including demography, education, housing facilities, consumption and labour force. However the survey is primarily focused on the annual household consumption and current labour force statistics. The food consumption and labour force related information was collected for past 7 days of the reference period whereas for other information related to non-food was past 12 months. Therefore, the result of the survey refers to the year 2012-201313. The results of AHS are presented in this statistical report covering five sections of the survey questionnaire. Structurally, the report contains six chapters including 42 tables, 21 figures and 5 appendices.  Since the design of the survey questionnaire has followed the concepts and definitions adopted in Nepal Living Standards Surveys and Nepal Labour Force Surveys especially to capture household consumption aggregates and the current labour force related information respectively, the data analysis and tabulation is also done accordingly.\n\nObjectives\nThe objectives of Annual Household Survey 2012-2013 are:\n\u2022     to estimate the label and structure of household consumption expenditure each year;\n\u2022     to measure unemployment and underemployment on yearly basis;\n\u2022     to collect information on the areas of demography, literacy, housing facilities etc;  and\n\u2022     to create an annual database of household sector.\n\nThe survey is intended to support the National Accounts estimates, particularly of household sector. Moreover, the survey will explore the possibility of consumption based poverty measurement also.","time_periods":[{"start":"2012-12","end":"2013-07","cycle":""}],"coll_dates":[{"start":"2012-12","end":"2013-07","cycle":""}],"nation":[{"name":"Nepal","abbreviation":"NPL"}],"geog_coverage":"The survey covers the whole country(National), Ecological belts( Mountain , Hill , Terai), rural and urban.","analysis_unit":"Household and Induvisual","universe":"- All households in the country determined on the basis of the usual place of their residence (de jure househols).  The households of diplomatic missions, the institutional households (like people living in schools hostels, prisons, army camps and hospitals) were excluded from the survey. \n-  All persons aged 5 years and above household members.","data_kind":"Sample survey data [ssd]","notes":"The AHS survey is primarily focused on two basic indicators,  household consumption aggregate and current labour force. Mainly survey includes :\n\n1.Demography : Average household size, dependency ratio, sex ratio , Dependency ratio in urban areas,  female household head.\n2.Housing Facilities: Average number of rooms, main source of drinking water,  source of lighting , access to mobile, toilet facilities, Households with sanitation management\n3.Literacy: Literacy rate of population, adult literacy, Male literacy, Female literacy  \n4.Consumption: Household per capita mean consumption\n5.Employment: Labour force participation rate,unemployment rate etc","study_scope":"The AHS survey is primarily focused on two basic indicators,  household consumption aggregate and current labour force. Mainly survey includes :\n\n1.Demography : Average household size, dependency ratio, sex ratio , Dependency ratio in urban areas,  female household head.\n2.Housing Facilities: Average number of rooms, main source of drinking water,  source of lighting , access to mobile, toilet facilities, Households with sanitation management\n3.Literacy: Literacy rate of population, adult literacy, Male literacy, Female literacy  \n4.Consumption: Household per capita mean consumption\n5.Employment: Labour force participation rate,unemployment rate etc"},"method":{"data_collection":{"data_collectors":[{"name":"Central Bureau of Statistics","abbreviation":"CBS","affiliation":"National Planning Commission Secretariat,GoN"}],"sampling_procedure":"The  sample frame from the National Population and Housing Census 2011 is being used  for sampling of AHS 2012-2013. The Annual Household Survey 2012-2013 is the multi-stage random sampling design with equal PSUs or households distributed between urban and rural areas considering  the heterogeneous  labour force activities  to provide a detailed picture of employment situation in the urban areas. So the prescribed 200 PSUs are divided equally in two parts, i.e., 100 PSUs each for urban and rural. The design has applied the concept of master sample frame. The sample size for the survey has been estimated at 3000 households in 200 Primary Sampling Units (PSUs). These 200 PSU shave been equally distributed between two study domains, viz. Urban Nepal and Rural Nepal. The PSUs were selected with Probability Proportional to Size, the measure of size being the square root of the number of households in each ward. Fifteen households were selected for the interview from each of the selected PSU using Systematic Sampling. The technical note of the sampling procedure is given at Appendix I of report AHS 2012-2013 .","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaire of AHS 2012\/13 survey contains five sections. The first section contains individual or demographic information. Section two, three and four includes on household consumption including housing and housing expenses, food expenses and home production, and non-food expenses, consumption of durables and own account production respectively. The last section deals with current economic activity or labour force. The food consumption part of the questionnaire has covered broad food categories only. The household consumption part of the questionnaire has been designed in line with that of Nepal Living Standards Survey. Likewise, for the labour force part, it has followed the structure of Nepal Labour Force Survey 2008, but in current basis only. A 16-paged household questionnaire with 5 sections and 4 appendices in Nepali language was administered in the AHS. The English translation of the questionnaire has been presented at Appendix II of AHS 2012\/13 report.","coll_situation":"Altogether 36 field workers were assigned in the main enumeration of the survey. All of them were selected from the regular staffs of the CBS and the Statistics Offices (SOs). The training of the field workers was held from October 07 to 15, 2012 covering 9 working days in total. Initially, there were 50 participants in the training programme. They were divided into two groups and two concurrent sessions were executed. Different methods of training were adopted including study of the questionnaire and reference manual, classroom session, class exercise session, mock interviews and field practices and discussions. The core team members of the project had conducted the training. To ensure the perfectness in the data entry independently, supervisors were given access to the laptop having installed data entry program for practice since the first day of the training. During this practice, they were instructed personally by a computer officer who himself had developed the data entry program. On the last day, data entry training programme was organized jointly for all participants by grouping them into 12 teams according to their probable field area, and then 12 team leaders and 24 enumerators were chosen for the field work. To collect data in the AHS, 12 teams were constructed at the field level. They were based on the appropriate Statistics Office of the CBS. Each team was responsible for a particular area of the country that contains on an average 16 PSUs comprising 3 to 10 districts. Each team consisted of one supervisor and two interviewers. Firstly, the field work was started with an assignment of one PSU for each team. After the completion of the first PSU, a 3-day review meeting was conducted  Besides the day to day field supervision by the team leader, there was a provision of supervision from the CBS (central level) as well as from Statistics Offices. For this purpose a 5-days workshop com training programme was executed for Statistics Office heads.Central level supervisory visits by the core team members of the Household Survey Section carried out immediately after the start of the field work.","act_min":"In the AHS 2012\/13, total 12 teams were constructed at the field level. Each team consisted of one supervisor and two interviewers. Among them, supervisor was responsible for coordinating, supervising and monitoring the field work as a team leader. In addition, he was in charge of completing the community questionnaire, selecting the sampled household, checking and correcting the filled- in-questionnaires and doing data entry activities. Besides the day to day field supervision by the team leader, there was a provision of supervision from the CBS (central level) as well as from Statistics Offices. Central level supervisory visits by the core team members of the Household Survey Section carried out immediately after the start of the field work. At times, central observations were done by the Director General and Deputy Director General of the Central Bureau of Statistics.","weight":"The sampling weights for urban and rural domain is calculated separately. In rural domain, data collection was conducted only at 99 PSUs so that actual value of the weight of this domain equals 3000.89 after adjustment.The detailed weighting calculation is given at Appendix 1, page no 56 of  report AHS 2012-2013","cleaning_operations":"Data entry and data verification of Annual Household Survey 2012-2013was conductaed at  field. For this task, a simple and clear data entry programme was developed in CSPro software,  and each team was given a personal computer having the entry program so that every team could be able to enter the interviewed household data in the respective field area. In other words, data entry and data verification work was done in the field residing in the corresponding PSU. Therefor both mannual and batch editing was carried out and CSPro programme wsa used for consistancy checking.","method_notes":"Data entry and data verification work was done in the field residing in the corresponding PSU using laptop. Entered data was collected on monthly basis and filled-in-questionnaires was gathered from all data collection teams at the CBS. Data processing and analysis was done in the CBS using STATA software package."},"analysis_info":{"response_rate":"The survey enumerated 1485 (99%) sample households from 99 PSUs out of 100 PSUs of rural area. As regards to urban sample, all 1500 (100%) sample household from 100 PSUs are interviewed. Thus, in total 2985 (99.5%) households were enumerated in the survey."}},"data_access":{"dataset_availability":{"access_place":"Central Bureau of Statistics","access_place_uri":"http:\/\/www.cbs.gov.np\/nada\/index.php\/catalog\/49","original_archive":"Central Bureau of Statistics\nhttp:\/\/www.cbs.gov.np\/nada\/index.php\/catalog\/49\nCost: None"},"dataset_use":{"conf_dec":[{"txt":"Confidentiality of the respondents is guaranteed by article 8 of Statistics Act 1958.\n\nRestriction on publication of information and details\n\nAny information or details relating to any person, family, firm or company, which have been supplied, obtained or prepared pursuant to Section 3 or Section 4 or Section 5 or Section 6 or Section 7 or any part of such information or details, shall not be disclosed or published directly except to the Director General or to any other officer of the Bureau without the written permission of the person or of his or her authorized representative supplying such information or details.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director General","affiliation":"Central Bureau of Statistics","email":"dg@cbs.gov.np","uri":"www.cbs.gov.np"}],"cit_req":"Central Bureau of Statistics (CBS), Nepal. Vegetable Crops Survey of Nepal 2009-2010. Dataset downloaded from National Data Archive (NADA): http:\/\/cbs.gov.np\/nada\/index.php\/catalog on [date].","conditions":"The dataset has been anonymized and is available as a Public Use Dataset from CBS premises. It is accessible to all users for statistical and research purposes only, under the following terms and conditions:\n\n1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Central Bureau of Statistics.\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. \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 CBS. \n4. No attempt will be made to produce links among datasets provided by the CBS or among data from the CBS and other datasets that could identify individuals or organizations. \n5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the CBS will cite the source of data in accordance with the Citation Requirement provided with each dataset. \n6. An electronic copy of all reports and publications based on the requested data will be sent to the CBS.","disclaimer":"The Central Bureau of Statistics, Nepal bears no responsibility for any outcomes or for interpretations or inferences arising from the use of the dataset, or use of the information provided on the study."}}},"data_files":[{"file_id":"F1","file_name":"durables","description":"The Data set includes Information on eighteen durable items used by houdehold. They are collected under durables part (Section 4.2) of the questionnaire. Questionnaire asks, for the list of durable items, the number of such items owned, and number of year passed from date of purchase, and their estimate of the current value. Furniture and livestock were dropped from the list to calculate nominal annual consumption expenditure to be in line with NLSS-III; sixteen items in total therefore are used as durables for consumption calculation.","case_count":"0","var_count":"8","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"food","description":"This Section of data set includes food consumption expenditure of household. The amount of the sixteen food items is aggregated to get weekly household consumption of food items. This is then converted to annual food consumption.","case_count":"0","var_count":"7","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"hhld_consumption","description":"In this data set, there are eighteen items of household consumption, including alcohol and tobacco, under section 3 of the questionnaire, titled \"Food Expenses  and Home Production\" are included.  Nominal values of these items consumed in the last seven days were collected by components - home production, purchase and received in-kind. Nominal consumption value was calculated for each item by adding these three components. It is important to note that the question specifically asks for the value of food items consumed in the past 7 days and not the value of items purchased or produced.The amount of the sixteen food items is aggregated to get weekly household consumption of food items. This is then converted to annual food consumption.","case_count":"0","var_count":"5","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F4","file_name":"household","description":"The Data file provides the information about housing and housing facilities, Distribution of population, Distribution of household, households who reside in their own housing units,  households occupying housing units for rent, households with own toilet facility, households with underground drains etc.","case_count":"0","var_count":"57","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F5","file_name":"individual","description":"The Data file provides the information about indivisual records like Age, status of literacy, employment, unemployment,underemploymet etc of household members","case_count":"0","var_count":"56","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F6","file_name":"nonfood","description":"This Section of data set includes non food consumption expenditure of household.Forty-one consumption items of non-food nature and services were collected under section 4 of the questionnaire. Among them, thirty-one items are used for consumption calculation under non-food category excluding firewood, medical expenses, education, jewelry and tax and insurance.","case_count":"0","var_count":"5","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F7","file_name":"ownacca","description":"This data set contains variable for own account production and its local market value.","case_count":"0","var_count":"5","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F8","file_name":"wt","description":"This data set contains  weight variable.","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"psu_no","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"PSU NUMBER","var_val_range":[{"units":"REAL","min":"101","max":"300"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"hh_no","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_width":"8","var_rec_seg_no":"1","labl":"HOUSEHOLD NUMBER","var_val_range":[{"units":"REAL","min":"1","max":"15"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"q42a","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_width":"32","var_rec_seg_no":"1","labl":"Q42A Code of durables","var_val_range":[{"units":"REAL","min":"1","max":"19"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Cows, Goats etc. cattle","stats":null,"type":null},{"value":"2","labl":"Furniture","stats":null,"type":null},{"value":"3","labl":"Radio tape cd player","stats":null,"type":null},{"value":"4","labl":"Camera still\/movie","stats":null,"type":null},{"value":"5","labl":"Bicycle","stats":null,"type":null},{"value":"6","labl":"Motorcycle scooter","stats":null,"type":null},{"value":"7","labl":"Motor car","stats":null,"type":null},{"value":"8","labl":"Refrigerator","stats":null,"type":null},{"value":"9","labl":"Washing Machine","stats":null,"type":null},{"value":"10","labl":"Microwave Oven","stats":null,"type":null},{"value":"11","labl":"Heater (Gas, Kerosine)","stats":null,"type":null},{"value":"12","labl":"T.V., Deck","stats":null,"type":null},{"value":"13","labl":"Water Pump","stats":null,"type":null},{"value":"14","labl":"Vaccuum Cleaner","stats":null,"type":null},{"value":"15","labl":"Sewing machine","stats":null,"type":null},{"value":"16","labl":"Computer printer","stats":null,"type":null},{"value":"17","labl":"Inverter\/ Geiser (Gas. Electric)","stats":null,"type":null},{"value":"18","labl":"Air Conditioner\/ Air Cooler","stats":null,"type":null},{"value":"19","labl":"Total","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"q42b","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_width":"8","var_rec_seg_no":"1","labl":"Q42B Have any durables or not ?","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V5","name":"q42c","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"Q42C No. of durables you have","var_val_range":[{"units":"REAL","min":"1","max":"45"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"q42d","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"Q42D No. of durables received lastly","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"},{"vid":"V7","name":"q42e","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"Q42E No. of  year before durables received","var_val_range":[{"units":"REAL","min":"0","max":"35"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V8","name":"q42f","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"12","var_rec_seg_no":"1","labl":"Q42F Estimated current selling price of the durables","var_val_range":[{"units":"REAL","min":"0","max":"8208950"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V9","name":"psu_no","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"PSU NUMBER","var_val_range":[{"units":"REAL","min":"101","max":"300"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V10","name":"hh_no","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_width":"8","var_rec_seg_no":"1","labl":"HOUSEHOLD NUMBER","var_val_range":[{"units":"REAL","min":"1","max":"15"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V11","name":"q3a","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_width":"28","var_rec_seg_no":"1","labl":"Q3A Code of food items","var_val_range":[{"units":"REAL","min":"1","max":"19"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Grains and cereals","stats":null,"type":null},{"value":"2","labl":"Other grains and cereals","stats":null,"type":null},{"value":"3","labl":"Pulses and lentils","stats":null,"type":null},{"value":"4","labl":"Egg and dairy products","stats":null,"type":null},{"value":"5","labl":"Ghee and oil products","stats":null,"type":null},{"value":"6","labl":"Vegetables","stats":null,"type":null},{"value":"7","labl":"Fruits","stats":null,"type":null},{"value":"8","labl":"Dry fruits and nuts","stats":null,"type":null},{"value":"9","labl":"Meat and meat products","stats":null,"type":null},{"value":"10","labl":"Fish and fish products","stats":null,"type":null},{"value":"11","labl":"Spices and condiments","stats":null,"type":null},{"value":"12","labl":"Sweets and confectionary","stats":null,"type":null},{"value":"13","labl":"Tea and coffee","stats":null,"type":null},{"value":"14","labl":"Non alcoholic beverage","stats":null,"type":null},{"value":"15","labl":"Alcoholic beverage","stats":null,"type":null},{"value":"16","labl":"Tobacco and tobacco products","stats":null,"type":null},{"value":"17","labl":"Meals eaten outside the home","stats":null,"type":null},{"value":"18","labl":"Other food items","stats":null,"type":null},{"value":"19","labl":"Total","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V12","name":"q3b","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_width":"8","var_rec_seg_no":"1","labl":"Q3B Food items consumed or not ?","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V13","name":"q3c","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_width":"12","var_rec_seg_no":"1","labl":"Q3C Value of home 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in-kind","var_val_range":[{"units":"REAL","min":"0","max":"4810"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V16","name":"psu_no","file_id":"F3","var_dcml":"0","var_intrvl":"contin","var_width":"8","var_rec_seg_no":"1","labl":"PSU NUMBER","var_val_range":[{"units":"REAL","min":"101","max":"300"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F3"},{"vid":"V17","name":"hh_no","file_id":"F3","var_dcml":"0","var_intrvl":"discrete","var_width":"8","var_rec_seg_no":"1","labl":"HOUSEHOLD 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