Uganda - Uganda Population and Housing Census 2002

Transcription

1 Uganda Bureau of Statistics National Data Archive Uganda - Uganda Population and Housing Census 2002 Uganda Bureau of Statistics - Ministry of Finance, Planning and Economic Development Report generated on: February 26, 2014 Visit our data catalog at: 1

2 Overview Identification ID NUMBER UGA-UBOS-PHC-2002-v1.0 Version VERSION DESCRIPTION Version 1.0: Edited data and computed variables used for the production of census reports. PRODUCTION DATE Overview ABSTRACT The purpose of the census was to provide demographic and socio-economic statistics in Uganda. The long term objective of the 2002 census was to maintain approximate decennial censuses and ensure availability of time series population benchmark statistical information at various administrative levels for the development of a coordinated and integrated data collection system in the country.the enumeration covered all persons resident in Uganda on the census night. Special arrangements were made to enumerate institutional, homeless, hotel and mobile populations. The census collected data on the demographic and socio-economic characteristics of the population; household and housing conditions, agriculture, activities of micro and small enterprises and the community characteristics. The main purpose of the Agricultural module was to provide appropriate sampling frames for a detailed Census of Agriculture in 2003, and a Census of Livestock in There was evidence of deliberate falsification of data from Kotido District. Therefore the analysis excludes data for Kotido District. The immediate objectives of the census were: To create/update census field maps and lists of EAs for the control of the 2002 census and construction of efficient area sampling frames; Effectively complete conducting a Population and Housing census with an Agricultural and Livestock module; To generate basic demographic and socio-economic data from the 2002 census disaggregated by sex, age and administrative areas; To compile agricultural and livestock sampling frames to be used in the subsequent sample surveys of these components; To evaluate, analyze and disseminate the census results at all administrative levels. KIND OF DATA Census/enumeration data [cen] UNITS OF ANALYSIS - Person - Household - Community Scope NOTES The scope of the Population and Housing Census includes: - COMMUNITY: Community characteristics, natural and human disasters, economic activities, diseases, infrastructure, extension services and gender/child violence. - HOUSEHOLD: Household characteristics, household listing, housing conditions, household conditions, crops/livestock/poultry/fishing activities, death in household and particulars of hosuehold members. It includes modules on persons aged 5 years and above and persons aged 10 years and above. 2

3 - WOMEN: Women characteristics, number of children ever borne, date of last birth and characteristics of last borne child. Coverage GEOGRAPHIC COVERAGE The census covered the whole country. UNIVERSE The census covered all the household members, all persons aged 5 years and above resident in the houseold, all persons aged 10 years and above resident in the household and all women aged 12 to 54 years resident in the household. Producers and Sponsors PRIMARY INVESTIGATOR(S) Name Uganda Bureau of Statistics Affiliation Ministry of Finance, Planning and Economic Development OTHER PRODUCER(S) Name Affiliation Role Population Secretariat Ministry of Finance, Planning and Economic Development Qestionnaire design Institue of Statistics and Applied Economics Makerere University Data analysis Ministry of Agriculture, Animal Industry and Fisheries Government of Uganda Questionnaire design Ministry of Education and Sports Government of Uganda Questionnaire design Ministry of Gender, Labour and Social Development Government of Uganda Questionnaire design FUNDING Name Abbreviation Role Government of Uganda GoU Funding European Union EU Funding United Nations Fund for Population Activities UNFPA Funding OTHER ACKNOWLEDGEMENTS Name Affiliation Role Respondents Community Providing required information Technical Advisory Committee UBOS Providing technical advice District Census Committee District Field staff Conducting field enurmeration and mapping Data Processing staff UBOS Data processing work Authors of Reports UBOS Production of various reports Metadata Production METADATA PRODUCED BY Name Abbreviation Affiliation Role Uganda Bureau of Statistics UBOS Ministry of Finance, Planning and Economic Development Documentation of the Study 3

4 Name Abbreviation Affiliation Role International Household Survey Network IHSN World Bank Review of the documentation DATE OF METADATA PRODUCTION DDI DOCUMENT VERSION Version 1.0 (May 2007). This is the first version of the PHC 2002 documentation. DDI DOCUMENT ID DDI-UGA-UBOS-PHC2002/06-v1.0 4

5 Sampling No content available 5

6 Questionnaires Overview The questionnaires for the 2002 Uganda Population and Housing Census were based on 1991 Census model with some modifications and additions. A household questionnaire was administered in each household, which collected various information on household members including sex, age, disability, religion, date of birth and orphanhood status. The household questionnaire also included the agricultural and micro and small enterprises modules. In addition to a household questionnaire, questionnaires were administered in each household for women aged 12-54, all persons aged 5 years and above, and also all persons aged 10 years and above. 6

7 Data Collection Data Collection Dates Start End Cycle N/A Data Collection Mode Face-to-face [f2f] DATA COLLECTION NOTES A pilot census was carried out in September, 2001 one year prior to the planned census date. The overall objective of the Pilot Census was to test technical and logistical procedures for the census. Training of Parish Supervisors and Enumerators was done centrally within each Sub-county and conducted by the Sub-county Supervisors and their Assistants. The entire training duration was seven days with the last day devoted to supervisory skills and boundary identification.during the training, guides were identified to help Enumerators tour and make a quick listing of the households within their enumration areas. A guide was identified for each village.the Enumerator was required to report to the Sub-county Supervisor, the number of households counted as a way of verification and estimation of workload. Instructions on how to carry out the listing of the households and institutions within the EA were given to successful applicants after their recruitment. The enumerators were required to seek guidance from the LC1 Chairman on the boundaries of the Local Council. The interviews were conducted in english, but occasionally used local translation in ateso, luganda, madi, ruyankore-rukiga, rufumbira, rutooro, rukonzho, lwaba, lusamia, lumasaba, kakwa, japadhola, kupsabiny, lugbara, luo, lusoga and ngakarimojong depending on an understanding between the Interviewer and the Respondent. On average, it took about 30 minutes to interview a household which is engaged in agriculture, while one which is not required about 20 minutes. Data Collectors Name Abbreviation Affiliation Uganda Bureau of Statistics UBOS Ministry of Finance, Planning and Economic Development SUPERVISION The supervisory responsibility for the data collection activities was spread over a top-bottom hierarchy starting with the National level, District level, Sub county level and to Parish level. Parishes were operationally and technically supervised by Parish Supervisors. However, to improve on efficiency, Parish Supervisors had a specified number of Enumerators to supervise, of at most six. Therefore, where a given parish was composed of more than six EAs, additional Parish Supervisors were used. The enumeration progress was recorded on a daily basis. The Parish Supervisor was responsible for completion of the Progress Report Form each time that they visited their enumerators in the filed. Editing of field returns was vigorously carried out at all levels of supervision. Spot checks and witnessing of interviews was emphasized and adopted by all supervisors. In cases of any doubt, Supervisors ordered a call back to the household. The Sub-county Supervisors had an administrative area equivalent to a sub-county to supervise. They were updated on the progress of the work during supervisory tours. Each District was administratively supervised by the Chief Administrative Officer (CAO). The CAO was also facilitated to supervise for a total of 10 days during both training and enumeration periods. The operational and technical supervision was mainly done by the DCO and ADCO. Each District was also assigned one Supervisor from UBOS. Members of the Census Technical Adbvisory Committee (CTAC) and other senior UBOS staff were also included in the supervision. The Senior Supervisors from UBOS included the Executive Director (ED), Deputy Executive Director (DED), National Census Coordinator (NCC), Deputy NCC, Secretary to the Board/Director for Finance and Administration (SB/DF&A), National Field Operations Officer (NFOO), National Census Administrator (NCA), Census Technical Officer (CTO), Deputy CTO, Census Cartographer (CC) and the Senior Statistician in charge of Agriculture Statistics. The special attaches from the army were the Senior Supervisors in the army jurisdiction. Facilitators from the Ministries of Lands and Water Development, Gender, Labour & Social Development, Agriculture, Animal Industry and Fisheries, Health and the Population Secretariat also supervised at senior level. 7

8 Data Processing Data Editing Preliminary editing was carried out to identify, investigate and resolve inconsistencies resulting from possible data entry and / or coding errors. After completion of the preliminary editing, the edited data was subjected to the edit programmes in two phases. The first run was to undertake structural edits which in turn was ensuring that the entries were logical. The second run of the programme was aimed at ensuring completeness of content and as a result, missing values had to be imputed following logic embedded in the computer programs according to the editing specifications or rules established. Other Processing The data entry entry system was developed in CSPro version 2.6 with structural logic and completeness quality checks embedded. The data entry carried out manually. At the inception, 330 data entry clerks were recruited. After training and initial operations, some were elevated to the status of supervisors, shift leaders and team leaders. The operational set up was that work was managed in teams of 10 of whom one was the team leader. The supervisory responsibility for the data processing activities was spread over a top-bottom hierarchy starting with the DPO down to Programmer level, Section Supervisors, Shift Leaders and to Team Leaders. The level of productivity was a minimum speed equivalent to 7,000 key strokes per hour with an accuracy rate above 95%. Tabulation and analysis was also and continues to be done in CSPro version 2.6. A Computer Programmer recruited during the census is in-charge of these activities. 8

9 Data Appraisal Other forms of Data Appraisal A series of data quality tables are available to review the quality of the data and include the following: - Estimation of Population in an Area - Distribution of Households and Primary Sampling Units among strata - Age Tolerance limits used in matching individuals - Distribution of missing EAs during matching by strata - Distribution of EAs among strata - Un-weighted Number of matched and non-matched cases - Estimates of the Coverage rates - Population Estimates - Rate of Agreement by characteristics, residence and Region - Net Difference rate and Index of Inconsistency by characteristics - A list of PES indicators selected for computation of sampling errors - Reliability of Estimates Based on Selected Indicators at National Level - Reliability of Estimates Based on Selected Indicators For Urban Areas - Reliability of estimates Based on Selected indicators for rural Areas by Regions The results of each of these data quality tables are shown in the appendix of the final report and are also given in the external resources section 9

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