{"type":"survey","doc_desc":{"title":"ETH_2003_UEUS-R1_v01_M","idno":"DDI_ETH_2003_UEUS-R1_v02_M","producers":[{"name":"Central Statistical Agency","abbreviation":"CSA","affiliation":"Ministry of Finance and Economic Development","role":"Production and documentation of the study"},{"name":"International Household Survey Network","abbreviation":"IHSN","affiliation":"","role":"Review of the metadata"}],"prod_date":"2005-08-22","version_statement":{"version":"Version 02: Adopted from \"DDI-ETH-CSA-UEUS-R1-2003-v1.1\" DDI, which was done by Ethiopian Central Statistical Agency."}},"study_desc":{"title_statement":{"idno":"ETH_2003_UEUS-R1_v01_M","title":"Urban Bi-Annual Employment Unemployment Survey, Round One 2003 (1996 E.C)","alt_title":"UEUS-R1 2003"},"authoring_entity":[{"name":"Central Statistical Authority","affiliation":"Ministry of Finance and Economic Development"}],"production_statement":{"prod_date":"2005-08-22","funding_agencies":[{"name":"Government of Ethiopia","abbreviation":"GoE","role":""}]},"distribution_statement":{"contact":[{"name":"Data Administrator","affiliation":"Central Statistical Agency of Ethiopia","email":"Data@csa.gov.et","uri":"http:\/\/www.csa.gov.et"}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]"},"version_statement":{"version":"Version 1.1: Edited and non anonymized dataset, for internal use only."},"study_info":{"topics":[{"topic":"employment [3.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"unemployment [3.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"basic skills education [6.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"Statistical information on all aspects of socio-economic activities is essential for the designing, monitoring evaluation of development plans and policies for gagging the growth of investment. Labour force surveys are one of the important sources of data for assessing the role of the population of the country in the economic and social development process. These surveys provide data on the main characteristics of the work force engaged or available to be engaged in productive activities during a given period and also its distribution in the various sectors of the economy. It is also useful to indicate the extent of available and unutilized human recourses that must be absorbed by the national economy to ensure full employment and economic well being of the population. Furthermore, the information obtained from such surveys is useful for the purpose of macro-economic monitoring and evaluation human resource development planning. The other broad objective of statistics on the labour force is for the measurement of relationship between employment, income and other social and economic characteristics of the economically active population for the purpose of formulating, monitoring and evaluation of employment policy and programs. Seasonal and other variations and changes over time in the size and characteristics of the employment and unemployment can be monitored using up-to-date information from labour force survey.\n\nCSA has been providing labour force and related data at different levels and with varying details in their content. These include the 1976 Addis Ababa Man Power and Housing Sample Survey the 1978 Survey on Population and Housing Characteristics of Seventeen Major Towns, the 1980\/81 and 1987\/88 Rural Labour Force Surveys, and the 1984 & 1994 Population and Housing Census. The 1996 and 2002 Surveys of Informal Sector and most of the household surveys also provide limited data on the area. Some information can also be derived from small, large and medium scale establishment surveys. Till the 1999 survey there hasn't been a comprehensive national labour force survey representing both urban and rural areas. \n\nThe latest data in the subject had been collected before four years and can be considered relatively outdated as the sector is dynamic and sensitive to economic and social changes. Moreover, it lacks data for trend and comparable analysis. Thus, to fill-in the data gap in this area, a series of current and continuous labour force survey need to be undertaken. Recognizing this fact and in response to request from different data users, the CSA has launched a biannual employment-unemployment survey program starting October, 2003 G.C \n\nThis survey is the first in the series and will serve as a baseline data for tracing changes. This program covers only urban areas of all regions. Rural areas will be included in the future as necessary. The survey is planned to be conducted twice every year, one in October and another in April. October and April in Ethiopia represent peak and slack agricultural periods. \n\nObjectives of the survey:\nThe bi-annual employment and unemployment survey program was designed to provide statistical data on the size and characteristics of the economically active and the non-active population of the country on continuous basis. The data will be useful for policy makers, planners, researchers, and other institutions and individuals engaged in the design, implementation and monitoring of human resource development projects and the performance of the economy. \n\nThe specific objectives of the survey are to: \n- Generate data on the size of work force that is available to participate in production process; \n- Determine the status and rate of economic participation of different sub-groups of the population; \n- Identify those who are actually contributing to the economic development (employed) and those out of the sphere; \n- Determine the size and rate of unemployed population; \n- Provide data on the structure of the working population; \n- Obtain information about earnings from paid employment; \n- Identify the distribution of employed population in the formal\/informal sector of the economy; \n- Generate baseline data to trace changes over time in the future.","coll_dates":[{"start":"2003-10-18","end":"2003-11-18","cycle":""}],"nation":[{"name":"Ethiopia","abbreviation":"ETH"}],"geog_coverage":"The 2003 Urban Bi Annual Employment and Unemployment survey covered only urban parts of the country. Except three zones of Afar and six zones of Somali regions, where the residents are pastoralists, all urban centers of the country were considered in this survey.","analysis_unit":"- Household\n- Individual aged 10 years and above","universe":"All households in the selected samples, except residents of collective quarters, homeless persons and foreigners.","data_kind":"Sample survey data [ssd]","notes":"The scope of Urban Employment Unemployment Survey includes:\n- Household: Area identification and demographic characteristics of the selected households.\n- Individual aged 10 and above: Economic activities during the last 6 months, economic activities during the last 7 days and unemployment and characteristics of unemployed persons.\n\nThe survey is mainly aimed at providing information on the economic characteristics of the population aged 10 years and over, i.e., their activity status, employment, and unemployment situation. It has also covered detailed socio-demographic background variables such as age, sex, relationship to the head of household, educational status, training and marital status.","study_scope":"The scope of Urban Employment Unemployment Survey includes:\n- Household: Area identification and demographic characteristics of the selected households.\n- Individual aged 10 and above: Economic activities during the last 6 months, economic activities during the last 7 days and unemployment and characteristics of unemployed persons.\n\nThe survey is mainly aimed at providing information on the economic characteristics of the population aged 10 years and over, i.e., their activity status, employment, and unemployment situation. It has also covered detailed socio-demographic background variables such as age, sex, relationship to the head of household, educational status, training and marital status."},"method":{"data_collection":{"data_collectors":[{"name":"Central Statistical Authority","abbreviation":"CSA","affiliation":"Ministry of Finance and Economic Development"}],"sampling_procedure":"Sample Design and Sample Size:\nInformation from the listing of the 1994 Population and Housing Census was utilized to develop the sampling frame for the 2003 Urban Bi Annual Employment and Unemployment Survey. It was by taking into account of cost and precision of major variables that determination of sample size was achieved. Moreover, in order to judge precisions of major variables, the 1999 Labor Force Survey result was the main source of information that was taken into consideration. \n\nExcept Harari, Addis Ababa and Dire Dawa, where all urban centers of the domain were incorporated in the survey, in other domains a three stage stratified cluster sample design was adopted to select the samples from each domain. The primary sampling units (PSU's) were urban centers selected systematically using probability proportional to size; size being number of households obtained from the 1994 Population and Housing Census. From each selected urban centers enumeration areas (EA's) were selected as a second stage sampling unit (SSU). The selection of the SSU's was also done using probability proportional to size; size being number of households obtained from the 1994 Population and Housing Census. For each sampled EA a fresh list of households was prepared at the beginning of the survey. Thirty households from each sample EA were selected at the third stage. The survey questionnaire was finally administered to those thirty households selected at the last stage. The selection scheme for Harari, Addis Ababa and Dire Dawa was similar to the case explained above. However, in these three domains instead of a three-stage design a two-stage stratified cluster sample design with enumeration areas as PSU and households (from the fresh list) as secondary sampling unit was used. \n\nNote: Distribution of sampling units (planned and covered) by domain (reporting level) is given in Summary Table 2.1 of the 2003 Urban Bi-annual Employment Unemployment Survey Round 1 report.","coll_mode":"Face-to-face [f2f]","research_instrument":"The survey has used a structured questionnaire to solicit the required data. Before taking its final shape, the draft questionnaire was tested by undertaking a pre-test. The pre-test was conducted in Addis Ababa, Debreziet and Sendafa. Based on the findings of the pre-test, the content, layout and presentation of the questionnaire was amended. Comments and inputs on the draft contents of the survey questionnaire obtained from user-producer forum were also incorporated in the final questionnaire. \n\nThe questionnaire is organized in to five sections; \nSection - 1: Area identification of the selected household: this section dealt with area identification of respondents such as region, zone, wereda, etc., \nSection - 2: Demographic characteristics of household: it consisted of the general socio-demographic characteristics of the population such as age, sex, education, states & types of training and marital status. \nSection - 3: Economic activity during the last six months: this section covered the usual economic activity status, number of weeks of Employment \/Unemployment and reasons for not usually working. \nSection - 4: Productive activities during the last seven days: this section dealt with the status and characteristics of employed persons such as hours of work occupation, industry, employment status, and Earnings from employment. \nSection - 5: Unemployment and characteristics of unemployed persons: the section focused on the size and characteristics of the unemployed population. \n\nNote: The questionnaires are provided as external resource.","coll_situation":"Training of Field Staff:\nFor the purpose of the survey, the training program of enumerators, supervisors and other field and office staff was conducted in two stages. The first stage training was conducted at the head quarters of the CSA, in Addis Ababa for about five days. The participants were selected from professionals and sub-professionals with long time experiences, branch office statisticians and coordinators, who were to train enumerators and supervisors during the second stage of training conducted at the Branch Statistical Offices. The training was guided by an enumerator and supervisor manual, which consists of detailed explanation of concepts, ideas and instructions on how to fill each entry in the questionnaire. \n\nAll the Branch Statistical Offices of the CSA participated in the survey undertaken, that is, in organizing the second stage of training, in deploying the field staff to their respective sites of assignment, and retrieving completed questionnaires and submitting them to the head office for data processing. They were also responsible in administering the financial and logistic aspect of the survey as well as field supervision within the areas of their assignment. \n\nThe training at the branch office, which lasted for about seven days, consisted of theoretical discussions on concepts, definitions, and techniques of completing the questionnaire, as well as mock and practical field practice interview of households and\/or household members. The objectives of mock and practical interviewing of households were twofold. First, it enabled to assess how well the theoretical class discussions were understood by all participants, so that they could convey the same message to the enumerators and the supervisors. The second objective was to examine the difficulty, which would likely be encountered during actual fieldwork. \n\nThe second stage of training was organized for all field staff and was conducted at 10 selected Branch Statistical Offices. Those who were trained at the head office in turn gave similar training for enumerators and field supervisors for about 7 days. The training consisted of classroom discussions, mock-interview and one-day field practice. In addition, thorough discussions were made after field practice. The discussions were intended to exchange experiences among participants and pinpoint the areas of the survey questions that need more care and attention. \n\nOrganization of the Fieldwork:\nIn order to carry out this survey with the desired level of quality, there was a need to organize a large staff that performs the various survey activities. The 25 Branch Statistical Offices of the Authority carried out the data collection operation. These offices have permanent and contract enumerators stationed in the selected enumeration areas. The data collection operation of the survey, involved a total of about 237 enumerators and about 60 field supervisors involved with an average supervisor - enumerator ratio of 1:5. Out of the total enumerators about 149 were recruited on contract basis and 88 were permanently stationed enumerators for price survey. \n\nThe interviews were made by going from house-to-house using a structured questionnaire. The data was collected from each sampled household and the respondent from whom the information collected was the head of the household or other responsible household member. Most of the enumerators were assigned to 2-3 sampled enumeration areas in which they could easily converse with the respondent's dialect. Interpreters were made available in cases where there is difficulty to converse. Data collection took place between October 18 and November 18\/2003. \n\nIn some of the sample sites the data collection was carried out in phases. That is, after completing the data collection in the selected enumeration area enumerators were shifted to another assigned next adjacent sample sites to carry out the same exercise. Field supervision was undertaken side by side with the data collection. During the survey data collection operation, close and regular supervision was undertaken at various levels. Spot checks, re-interviewing and a thorough scrutiny of filled-in questionnaires were applied to ensure that the data collection activities being carried out according to the given instruction. In addition to this, the statisticians in branch statistical offices and branch statistical office heads made supervision of the data collection operation. \n\nSenior staff members from the CSA head quarters in Addis Ababa, apart from giving training to the enumerators and supervisors at Branch Statistical Office level, participated in the field supervision activities, which took about one week. Furthermore, during fieldwork, statisticians from different department visited nearly all Branch Statistical Offices and selected urban enumeration areas. In this instance they have discussed on the objectives and importance of the survey, the expected quality of the data and some other related issues with supervisors and enumerators.","act_min":"About 60 field supervisors involved with an average supervisor-enumerator ratio of 1 : 5. Out of the total enumerators about 149 were recruited on contract basis and 88 were permanently stationed enumerators for price survey. Senior staff members from the CSA head quarters in Addis Ababa, apart from giving training to the enumerators and supervisors at Branch Statistical Office level, participated in the field supervision activities, which took about one week. Furthermore, during fieldwork, statisticians from different department visited nearly all Branch Statistical Offices and selected urban enumeration areas. In this instance they have discussed on the objectives and importance of the survey, the expected quality of the data and some other related issues with supervisors and enumerators.","cleaning_operations":"Data Editing, Coding and Verification: \nThe filled-in questionnaires that were retrieved from the field were first subjected to manual editing and coding. During the fieldwork the field supervisors, Statisticians and the heads of branch statistical offices have checked the filled-in questionnaires and carried out some editing. However, the major editing and coding operation was carried out at the head office. All the edited questionnaires were again fully verified and checked for consistency before they were submitted to the data entry. After the data was entered, it was again verified using the computer. \n\nData Entry, Cleaning and Tabulation: \nUsing the computer edit specification prepared earlier for this purpose, the entered data were checked for consistencies and then computer editing or data cleaning was made by referring back to the filled-in questionnaire. This is an important part of data processing operation in attaining the required level of data quality. Consistency checks and re-checks were also made based on tabulation results. Computer programs was developed by data processing department for data entry, data cleaning and tabulation using Integrated Microcomputer Processing System (IMPS) software."},"analysis_info":{"response_rate":"As regards the response rate of the survey, a total of 99 urban centers were selected and incorporated into the survey. To be covered by the survey, 527 enumeration areas was initially selected, and the survey could successfully be carried out in all the 527 (100%) of the EA's. The total number of expected households that were to be interviewed was 15810, however, due to different reasons 126 sample households were not interviewed. As a result only 15684 households was actually covered by the survey, which made the ultimate response rate of the survey 99.2 %.","sampling_error_estimates":"Estimation procedures of total, ratio and sampling errors are given in Appendix 1 of the 2003 Urban Bi-annual Employment Unemployment Survey Round 1 report."}},"data_access":{"dataset_use":{"contact":[{"name":"Central Statistical Agency of Ethiopia","affiliation":"Ministry of Finance and Economic Development","email":"Data@csa.gov.et","uri":"http:\/\/www.csa.gov.et"}],"cit_req":"The following statement must be used as citation: \n\"Central Statistical Authority of Ethiopia (CSA). Urban Bi-annual Employment Unemployment Survey 2003 Round 1 (UEUS 2003)\"","conditions":"The Central Statistical Agency (CSA) is committed to achieving excellence in the provision of timely, reliable and affordable official statistics for informed decision making in order to maximize the welfare of all Ethiopians. This is achieved through the collection and analysis of censuses, surveys and the use of administrative data as well as the dissemination a range of statistical products and providing assistance and services to users.\n\nA microdata dissemination policy is established by CSA to address the conditions and the manner in which anonymized microdata files may be released to users for research purposes. It also strives to identify the different levels of anonymization for different categories of data use. This policy is available at CSA website (www.csa.gov.et <http:\/\/www.csa.gov.et>).\n\nCSA will release microdata files for use by researchers for scientific research purposes when:\nThe Director General is satisfied that all reasonable steps have been taken to prevent the identification of individual respondents\nThe release of the data will substantially enhance the analytic value of the data that have been collected \nFor all but purely public files, researchers disclose the nature and objectives of their intended research, \nIt can be demonstrated that there are no credible alternative sources for these data, and\nThe researchers have signed an appropriate undertaking.\n\nTerms and conditions of use of public data files are the following:\nThe data and other materials provided by CSA will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of CSA.\nThe 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.\nNo 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 CSA.\nNo attempt will be made to produce links among datasets provided by CSA, or among data from the CSA and other datasets that could identify individuals or organizations.\nAny books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from CSA will cite the source of data in accordance with the Citation Requirement provided with each dataset.\nAn electronic copy of all reports and publications based on the requested data will be sent to CSA.\nThe original collector of the data, CSA, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.\n\nCost Recovery Policy:\nIt is the policy of CSA to encourage broad use of its products by making them affordable for users.  Accordingly, CSA attempts to ensure that the costs of creating anonymized microdata files are built-in to the survey budget.\nAt the same time, CSA attempts to recover costs associated with the provisions of special services that benefit only a specific group. Information on the price of each dataset is available at CSA website (www.csa.gov.et <http:\/\/www.csa.gov.et>).","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."}}},"data_files":[{"file_id":"F1","file_name":"emp2003r1","description":"This dataset contains socio-demographic characteristics of household members and their economic activity during the reference period.","case_count":"0","var_count":"83","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"case$id","file_id":"F1","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"30","var_width":"30","var_rec_seg_no":"1","labl":"Household identification 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\"Thahsas\"?","var_qstn_ivulnstr":"Note:- -A person is said to be working one week if he\/she works at least four (4) hours per week -A person is said to be unemployed in a given week if he\/she was not employed but seeking or available to work in that week For each month first ask weeks of employment and fill in the (A) employment row, then ask weeks of unemployment and fill in the (B) unemployment row.","var_val_range":[{"units":"REAL","min":"0","max":"4"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","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"},{"vid":"V37","name":"u235e","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"81","var_end_pos":"81","var_width":"1","var_rec_seg_no":"1","labl":"How many weeks employed in \"Hidar\"","var_qstn_qstnlit":"How many week employed in \"Hidar\"?","var_qstn_ivulnstr":"Note:- -A person is said to be working one week if he\/she works at least four (4) hours per week -A person is said to be unemployed in a given week if he\/she was not employed but seeking or available to work in that week For each month first ask weeks of employment and fill in the (A) employment row, then ask weeks of unemployment and fill in the (B) unemployment row.","var_val_range":[{"units":"REAL","min":"0","max":"4"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","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"},{"vid":"V38","name":"u235u","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"82","var_end_pos":"82","var_width":"1","var_rec_seg_no":"1","labl":"How many weeks unemployed in \"Hidar\"","var_qstn_qstnlit":"How many week unemployed in 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\"Tikemt\"?","var_qstn_ivulnstr":"Note:- -A person is said to be working one week if he\/she works at least four (4) hours per week -A person is said to be unemployed in a given week if he\/she was not employed but seeking or available to work in that week For each month first ask weeks of employment and fill in the (A) employment row, then ask weeks of unemployment and fill in the (B) unemployment row.","var_val_range":[{"units":"REAL","min":"0","max":"4"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","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"},{"vid":"V40","name":"u236u","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"84","var_end_pos":"84","var_width":"1","var_rec_seg_no":"1","labl":"How many weeks unemployed in \"Tikimt\"","var_qstn_qstnlit":"How many week unemployed in \"Tikimt\"?","var_qstn_ivulnstr":"Note:- -A person is said to be working one week if he\/she works at least four (4) hours per week -A person is said to be unemployed in a given week if he\/she was not employed but seeking or available to work in that week For each month first ask weeks of employment and fill in the (A) employment row, then ask weeks of unemployment and fill in the (B) unemployment row.","var_val_range":[{"units":"REAL","min":"0","max":"4"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","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"},{"vid":"V41","name":"u23te","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"85","var_end_pos":"86","var_width":"2","var_rec_seg_no":"1","labl":"Total weeks employed","var_qstn_qstnlit":"Total weeks employed","var_val_range":[{"units":"REAL","min":"0","max":"25"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","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"},{"vid":"V42","name":"u23tu","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"87","var_end_pos":"88","var_width":"2","var_rec_seg_no":"1","labl":"Total weeks unemployed","var_qstn_qstnlit":"Total weeks unemployed","var_val_range":[{"units":"REAL","min":"0","max":"25"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","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"},{"vid":"V43","name":"u23t","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"89","var_end_pos":"90","var_width":"2","var_rec_seg_no":"1","labl":"Total week unemployed + employed","var_qstn_qstnlit":"Total weeks: Unemployed + Employed","var_val_range":[{"units":"REAL","min":"1","max":"25"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","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"},{"vid":"V44","name":"u24","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"91","var_end_pos":"91","var_width":"1","var_rec_seg_no":"1","labl":"Did you have a job or start work in last six month","var_qstn_qstnlit":"Did you have any job(S) \/ work that you started during then last six month?","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"9","labl":"Not stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V45","name":"u25","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"92","var_end_pos":"92","var_width":"1","var_rec_seg_no":"1","labl":"Total number of weeks","var_qstn_qstnlit":"Total number of weeks","var_qstn_postqtxt":"If the answer is 2 go to column 27","var_qstn_ivulnstr":"Check total number of weeks in column 23 total","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Less than 13","stats":null,"type":null},{"value":"2","labl":"13 week or more","stats":null,"type":null},{"value":"9","labl":"Not stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V46","name":"u26","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"93","var_end_pos":"93","var_width":"1","var_rec_seg_no":"1","labl":"Reason for not working","var_qstn_qstnlit":"What was the main reason for not working or not looking for work during most of the last 6 months?","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Home maker","stats":null,"type":null},{"value":"2","labl":"Student","stats":null,"type":null},{"value":"3","labl":"Disabled","stats":null,"type":null},{"value":"4","labl":"Illness","stats":null,"type":null},{"value":"5","labl":"Too young","stats":null,"type":null},{"value":"6","labl":"Prostitutes","stats":null,"type":null},{"value":"7","labl":"Pensioned\/old","stats":null,"type":null},{"value":"8","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Not stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V47","name":"u27","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"94","var_end_pos":"94","var_width":"1","var_rec_seg_no":"1","labl":"Did you engaged in any productive work","var_qstn_qstnlit":"During the last 7 days were you engaged in any kind of productive activities such as work for payment, for family gain or profit, or produce for own consumption?","var_qstn_postqtxt":"If the answer is 2 go to column 30","var_qstn_ivulnstr":"Ask respondents \u201cWhat they had been doing in the last seven days\u201d then mark code \u201c1\u201d if the respondent was engaged in at least one of the activities mentioned below. Mark code \u201c2\u201d if participated in none of the activities. -Work as paid employee for government\/government parastatal domestic, NGO, Private organization? -Run a business, big or small, for self or with partners (e.g barber, shoe shining, trade \u2026etc)? -Work in Agriculture privately\/salaried (e.g plough and cattle rearing, poultry \u2026etc)? -Produce goods for sale (e.g 'Injera'. 'Tella', 'Sefied' \u2026etc)? -Produce permanent goods for own family? -Help in family farm or business without payment? e.g in agriculture, trade or in other enterprises. -Engage in construction or major repair for own\/family use? -Other productive activity not mentioned above for own or family gain?","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"9","labl":"Not stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V48","name":"u28","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"95","var_end_pos":"96","var_width":"2","var_rec_seg_no":"1","labl":"Total hours per week","var_qstn_qstnlit":"Excluding lunch and journey time, in total for how many hours did you work on each day at all jobs in the last 7 days? (Including overtime)","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","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"},{"vid":"V49","name":"u29","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"97","var_end_pos":"97","var_width":"1","var_rec_seg_no":"1","labl":"Range of total hours worked","var_qstn_preqtxt":"Check in column total hours worked in the last 7 days?","var_qstn_qstnlit":"Range of total hour worked?","var_qstn_postqtxt":"If the answer is 2 go to column 31","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Less than 4","stats":null,"type":null},{"value":"2","labl":"4 hours & above","stats":null,"type":null},{"value":"9","labl":"Not stated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V50","name":"u30","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"98","var_end_pos":"98","var_width":"1","var_rec_seg_no":"1","labl":"Have a job return to","var_qstn_qstnlit":"Eventhough you were not working during the last 7 days, did you have a job, business or holding which you will return to?","var_qstn_postqtxt":"If the answer is 4 go to column 43","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes own business","stats":null,"type":null},{"value":"2","labl":"Leave with pay","stats":null,"type":null},{"value":"3","labl":"Promise to return","stats":null,"type":null},{"value":"4","labl":"No","stats":null,"type":null},{"value":"9","labl":"Not sated","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V51","name":"u31","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"99","var_end_pos":"101","var_width":"3","var_rec_seg_no":"1","labl":"Occupation","var_qstn_preqtxt":"For those who worked for more than 4 hours (code 2 in column 29) of for those who did not work but had job to return to (code 1-3 in column 30)","var_qstn_qstnlit":"What was your main occupation?","var_qstn_ivulnstr":"If a person was not engaged at work in the last 7 days, then the occupation before that period will be asked","var_val_range":[{"units":"REAL","min":"11","max":"999"}],"var_universe":"For members aged 10 years and above","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"vald"},{"value":"0","type":"invd"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"11","labl":"Millitary","stats":null,"type":null},{"value":"111","labl":"Legeslators","stats":null,"type":null},{"value":"112","labl":"Senior government officials","stats":null,"type":null},{"value":"113","labl":"Kebele leaders, tribe chiefs, traditional chiefs and heads of villages","stats":null,"type":null},{"value":"114","labl":"Non government senior officials","stats":null,"type":null},{"value":"121","labl":"General managers and department heads","stats":null,"type":null},{"value":"131","labl":"Manager, section and sub section heads","stats":null,"type":null},{"value":"132","labl":"Small businesses in whole sale and retail trade and hotel owners, work supervisors, and other small business","stats":null,"type":null},{"value":"211","labl":"Physicists, chemists, geologists and related professionals","stats":null,"type":null},{"value":"212","labl":"Mathematicians, statisticians and related professionals","stats":null,"type":null},{"value":"213","labl":"Computing professionals","stats":null,"type":null},{"value":"214","labl":"Architects, engineers and related professionals","stats":null,"type":null},{"value":"221","labl":"Agronomists, biologists, pharmacologists and related","stats":null,"type":null},{"value":"222","labl":"Medical doctors, dentists, pharmacists, veterinarians and related","stats":null,"type":null},{"value":"223","labl":"Health officers, specialized nurses and midwifery professionals","stats":null,"type":null},{"value":"231","labl":"College, university and higher education teaching professionals","stats":null,"type":null},{"value":"232","labl":"High school teaching professional","stats":null,"type":null},{"value":"233","labl":"School inspectors, curricula developers and related","stats":null,"type":null},{"value":"241","labl":"Accountants, auditors, and related","stats":null,"type":null},{"value":"242","labl":"Lawyers, judges and related","stats":null,"type":null},{"value":"243","labl":"Archivists, librarians and related information professional","stats":null,"type":null},{"value":"244","labl":"Economists, sociologists, historians, psychologists, social worker","stats":null,"type":null},{"value":"245","labl":"Music, film, painting, journalism and related professionals","stats":null,"type":null},{"value":"246","labl":"Religious professionals\/bishops '' lmams'', ....etc\/","stats":null,"type":null},{"value":"311","labl":"Physical and engineering science technicians and saftey inspectors","stats":null,"type":null},{"value":"312","labl":"Computer associate professional","stats":null,"type":null},{"value":"313","labl":"Photographic, sound telecommunication, medical and related equipment","stats":null,"type":null},{"value":"314","labl":"Operators ship and aircraft controllers and technicians","stats":null,"type":null},{"value":"315","labl":"Safety and quality inspectors eg. Building and fire inspectors safety, health and quality inspectors","stats":null,"type":null},{"value":"321","labl":"Agricultural, soil, forestry, pharmacology, biochemistry, bl","stats":null,"type":null},{"value":"322","labl":"Nurses, health assistant, sanitarians, physiotherapy dentist","stats":null,"type":null},{"value":"323","labl":"Traditional birth attendants, tradional mediciine workers an","stats":null,"type":null},{"value":"331","labl":"Primary junior secondary and pre primary education teaching","stats":null,"type":null},{"value":"332","labl":"Church \" kais\"","stats":null,"type":null},{"value":"333","labl":"Driving, typewriting and related teachers","stats":null,"type":null},{"value":"341","labl":"Buyers, appraisers, value makers, travel conultants, and ins","stats":null,"type":null},{"value":"342","labl":"Business service agens and trade brokers","stats":null,"type":null},{"value":"343","labl":"Administrative and executive secretaries, bookkeepers, stati","stats":null,"type":null},{"value":"344","labl":"Customs, tax, licensing, passport and related associate prof","stats":null,"type":null},{"value":"345","labl":"Singers, dancers, radio and television announcers and relate","stats":null,"type":null},{"value":"346","labl":"Religious associate professionals\/priests, deacons, sheiks,","stats":null,"type":null},{"value":"411","labl":"Typists and keyboard operating clerks","stats":null,"type":null},{"value":"412","labl":"Book keepers, accounting clerks and related","stats":null,"type":null},{"value":"413","labl":"Stock clerks, transport clerks and related","stats":null,"type":null},{"value":"414","labl":"Library, mail filling and other office related clerks","stats":null,"type":null},{"value":"421","labl":"Cashiers, tellers, counter clerks meter readers and related","stats":null,"type":null},{"value":"422","labl":"Receptionists, telephone operators, transport ticket clerks","stats":null,"type":null},{"value":"511","labl":"Travel attendants and related workers","stats":null,"type":null},{"value":"512","labl":"Houekeeping, restaurant, bar, \"tella\"","stats":null,"type":null},{"value":"513","labl":"Barbers, beauticians, child care workers and related person","stats":null,"type":null},{"value":"514","labl":"Police, fire fighters and related","stats":null,"type":null},{"value":"521","labl":"Fashion and other models","stats":null,"type":null},{"value":"522","labl":"Shop and kiosk salespersons and demonstrators","stats":null,"type":null},{"value":"523","labl":"\"gulit\"","stats":null,"type":null},{"value":"611","labl":"Market oriented crop growers","stats":null,"type":null},{"value":"612","labl":"Market oriented animal producers and related workers","stats":null,"type":null},{"value":"613","labl":"Forestry and related workers","stats":null,"type":null},{"value":"614","labl":"Fishery workers, hunters and trappers","stats":null,"type":null},{"value":"621","labl":"Skilled subsistence agricultural and fishery workers","stats":null,"type":null},{"value":"711","labl":"Miners, quarry workers, stone cutters and carvers","stats":null,"type":null},{"value":"712","labl":"Stone masons, carpenters and tradional house builders","stats":null,"type":null},{"value":"713","labl":"Plasters, plumbers, roofers, glaziers, building electricians","stats":null,"type":null},{"value":"714","labl":"Painters (building and manufactured articles)","stats":null,"type":null},{"value":"721","labl":"Welders, metal molders and related trades workers","stats":null,"type":null},{"value":"722","labl":"Blacksmiths, tool markers and related trades wokers","stats":null,"type":null},{"value":"723","labl":"Motoracar mechanics, airplane and other machnery mechanics","stats":null,"type":null},{"value":"724","labl":"Radio, tv and other electronic equipment mechanics, telephon","stats":null,"type":null},{"value":"731","labl":"Jewelers, gold and watch repair ers, and other precision ins","stats":null,"type":null},{"value":"732","labl":"Poters and glass makers,and glass ceramics and related decor","stats":null,"type":null},{"value":"733","labl":"Handcraft workers in wood, textile, leather and related mat","stats":null,"type":null},{"value":"734","labl":"Printing photographing and related trades workers","stats":null,"type":null},{"value":"741","labl":"Areki, tella, grinding of own product ( or sell after millin","stats":null,"type":null},{"value":"742","labl":"Basketry weavers, cabinet maker and related trades workers","stats":null,"type":null},{"value":"743","labl":"Weavers, spinners, tailors, and related","stats":null,"type":null},{"value":"744","labl":"Leather, pelt and shoemaking trades workers","stats":null,"type":null},{"value":"811","labl":"Mining and minieral processing plant operators","stats":null,"type":null},{"value":"812","labl":"Metal smelters, casters and related operators","stats":null,"type":null},{"value":"813","labl":"Glass, ceramics and related 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