DDI_ZAF_2007_PHC_v01_M DataFirst 2008 NADA Version 01: Adopted from "ddi-zaf-datafirst-cs-2007-v1.1" DDI that was done by metadata producer mentioned in "Metadata Production" section. Community Survey 2007 CS 2007 ZAF_2007_PHC_v01_M Statistics South Africa Copyright 2008, Statistics South Africa. NADA The Government of South Africa Manager, DataFirst v1.2: Edited, anonymised dataset for licensed distribution. Version 1 of the Community Survey 2007 dataset did not include fertility and mortality data (from sections F and I of the questionnaire respectively). This version, version 1.1, downloaded from Statistics South Africa's website on 17 october 2011, includes fertility and mortality data. The metadata file provided with this version is the metadata supplied with version 1 and therefore does not cover the fertility and mortality data. Geography variables, provided in a separate data file in version 1 of the dataset, but were included in the "Person", "Household" and "Mortality" files of version 1.1 of the dataset. This version, version 1.2 includesthe changes made in version 1.1. However, the variables in version 1.1 were strings and in version 1.2 these have now been converted to numeric variables for ease of use. demography marriage migration disability social grant schooling education employment unemployment business informal sector job search occupation industry childbirth fertility mortality income sanitation energy tenure services household fertility [14.2] migration [14.3] morbidity and mortality [14.4] children [12.1] social conditions and indicators [13.8] economic conditions and indicators [1.2] employment [3.1] unemployment [3.5] EDUCATION [6] health care and medical treatment [8.5] housing [10.1] specific social services: use and provision [15.3] The Community Survey (CS) is a nationally representative, large-scale household survey which was conducted from February to March 2007. The Community Survey is designed to provide information on the trends and levels of demographic and socio-economic data, such as population size and distribution; the extent of poor households; access to facilities and services, and the levels of employment/unemployment at national, provincial and municipality level. The data can be used to assist government and the private sector in the planning, evaluation and monitoring of programmes and policies. The information collected can also be used to assess the impact of socio-economic policies and provide an indication as to how far the country has gone in its strides to eradicate poverty. Censuses 1996 and 2001 are the only all-inclusive censuses that Statistics South Africa has thus far conducted under the new democratic dispensation. Demographic and socio-economic data were collected and the results have enabled government and all other users of this information to make informed decisions. When cabinet took a decision that Stats SA should not conduct a census in 2006, it created a gap in information or data between Census 2001 and the next Census scheduled to be carried out in 2011. A decision was therefore taken to carry out the Community Survey in 2007. The main objectives of the survey were: ·To provide estimates at lower geographical levels than existing household surveys; ·To build human, management and logistical capacities for Census 2011; and ·To provide inputs into the preparation of the mid-year population projections. The wider project strategic theme is to provide relevant statistical information that meets user needs and aspirations. Some of the main topics that are covered by the survey include demography, migration, disability and social grants, educational levels, employment and economic activities. South Africa The survey covered the whole of South Africa, including all nine provinces as well as the four settlement types - urban-formal, urban-informal, rural-formal (commercial farms) and rural-informal (tribal areas). Households The Community Survey covered all de jure household members (usual residents) in South Africa. The survey excluded collective living quarters (institutions) and some households in EAs classified as recreational areas or institutions. However, an approximation of the out-of-scope population was made from the 2001 Census and added to the final estimates of the CS 2007 results. Sample survey data [ssd] The scope of the Community Survey (CS) includes: Demographic characteristics (age and sex, population group, fertility, mortality), migration, economic activity, geographical distribution, marital status, disability, education, household good, access to services (social security services, housing, water, energy, sanitation, communication services, refuse removal). Statistics South Africa Sample Design The sampling procedure that was adopted for the CS was a two-stage stratified random sampling process. Stage one involved the selection of enumeration areas, and stage tow was the selection of dwelling units. Since the data are required for each local municipality, each municipality was considered as an explicit stratum. The stratification is done for those municipalities classified as category B municipalities (local municipalities) and category A municipalities (metropolitan areas) as proclaimed at the time of Census 2001. However, the newly proclaimed boundaries as well as any other higher level of geography such as province or district municipality, were considered as any other domain variable based on their link to the smallest geographic unit - the enumeration area. The Frame The Census 2001 enumeration areas were used because they give a full geographic coverage of the country without any overlap. Although changes in settlement type, growth or movement of people have occurred, the enumeration areas assisted in getting a spatial comparison over time. Out of 80 787 enumeration areas countrywide, 79 466 were considered in the frame. A total of 1 321 enumeration areas were excluded (919 covering institutions and 402 recreational areas). On the second level, the listing exercise yielded the dwelling frame which facilitated the selection of dwellings to be visited. The dwelling unit is a structure or part of a structure or group of structures occupied or meant to be occupied by one or more households. Some of these structures may be vacant and/or under construction, but can be lived in at the time of the survey. A dwelling unit may also be within collective living quarters where applicable (examples of each are a house, a group of huts, a flat, hostels, etc.). The Community Survey universe at the second-level frame is dependent on whether the different structures are classified as dwelling units (DUs) or not. Structures where people stay/live were listed and classified as dwelling units. However, there are special cases of collective living quarters that were also included in the CS frame. These are religious institutions such as convents or monasteries, and guesthouses where people stay for an extended period (more than a month). Student residences - based on how long people have stayed (more than a month) - and old-age homes not similar to hospitals (where people are living in a communal set-up) were treated the same as hostels, thereby listing either the bed or room. In addition, any other family staying in separate quarters within the premises of an institution (like wardens' quarters, military family quarters, teachers' quarters and medical staff quarters) were considered as part of the CS frame. The inclusion of such group quarters in the frame is based on the living circumstances within these structures. Members are independent of each other with the exception that they sleep under one roof. The remaining group quarters were excluded from the CS frame because they are difficult to access and have no stable composition. Excluded dwelling types were prisons, hotels, hospitals, military barracks, etc. This is in addition to the exclusion on first level of the enumeration areas (EAs) classified as institutions (military bases) or recreational areas (national parks). The Selection of Enumeration Areas (EAs) The EAs within each municipality were ordered by geographic type and EA type. The selection was done by using systematic random sampling. The criteria used were as follows: In municipalities with fewer than 30 EAs, all EAs were automatically selected. In municipalities with 30 or more EAs, the sample selection used a fixed proportion of 19% of all sampled EAs. However, if the selected EAs in a municipality were less than 30 EAs, the sample in the municipality was increased to 30 EAs. The Selection of Dwelling Units The second level of the frame required a full re-listing of dwelling units. The listing exercise was undertaken before the selection of DUs. The adopted listing methodology ensured that the listing route was determined by the lister. Thisapproach facilitated the serpentine selection of dwelling units. The listing exercise provided a complete list of dwelling units in the selected EAs. Only those structures that were classified as dwelling units were considered for selection, whether vacant or occupied. This exercise yielded a total of 2 511 314 dwelling units. The selection of the dwelling units was also based on a fixed proportion of 10% of the total listed dwellings in an EA. A constraint was imposed on small-size EAs where, if the listed dwelling units were less than 10 dwellings, the selection was increased to 10 dwelling units. All households within the selected dwelling units were covered. There was no replacement of refusals, vacant dwellings or non-contacts owing to their impact on the probability of selection. Face-to-face [f2f] Consultation on Questionnaire Design Ten stakeholder workshops were held across the country during August and September 2004. Approximately 367 stakeholders, predominantly from national, provincial and local government departments, as well as from research and educational institutions, attended. The workshops aimed to achieve two objectives, namely to better understand the type of information stakeholders need to meet their objectives, and to consider the proposed data items to be included in future household surveys. The output from this process was a set of data items relating to a specific, defined focus area and outcomes that culminated with the data collection instrument (see Annexure B for all the data items). Questionnaire Design The design of the CS questionnaire was household-based and intended to collect information on 10 people. It was developed in line with the household-based survey questionnaires conducted by Stats SA. The questions were based on the data items generated out of the consultation process described above. Both the design and questionnaire layout were pre-tested in October 2005 and adjustments were made for the pilot in February 2006. Further adjustments were done after the pilot results had been finalised. Training of Fieldworkers Training was planned and executed at national, provincial and district levels. The trainees at national level did the training at provincial level, and those that were trained at provincial level did the training at district level. The cascade method of training was at three levels. Training was initiated by subject matter specialists training the trainers at Head Office. The national trainers trained Provincial Survey Coordinators (PSCs), District Survey Coordinators (DSCs), Mapping Monitors (MMs) and GIS Officers at national level. The DSCs trained Fieldwork Coordinators (FWCs) at provincial level with the supervision and monitoring of the PSCs and Head Office monitors. Finally, FWCs trained Fieldwork Supervisors (FWSs) and Enumerators at district level. During the training of fieldworkers, video training technology was used in addition to the instructor-led training approach. Although video training can never replace the trainer completely, it offered an ideal opportunity to access large numbers of trainees, in different training venues, at different times, with customised training solutions, quickly and cost effectively. After facilitation by the trainer during training sessions, a training video was used to consolidate knowledge learnt and to clarify issues that were not clear to trainees during training. Every training session was evaluated by both the trainees and trainers. Trainers completed a daily evaluation form in order to identify problems that trainees had experienced during that particular day’s training. Areas that needed remedial training were revisited the following day. Enumeration The main objective of enumeration is to collect and document particulars of all individuals and housing units with the selected respondent(s). The adopted enumeration method for CS 2007 was canvassing, whereby the enumerator conducts a face-to-face interview with the respondent while simultaneously completing the questionnaire. The Community Survey adopted both the de jure and de facto approach in order to compare with other Stats SA social statistics definitions as well as to give a comparison over time between the censuses with the ultimate objective of having two estimates of the population – the de jure population estimates are mostly useful for long-term planning, and the de facto population estimates are mostly used for demographic estimations. Enumerators visited the selected sampled dwelling units to interview households and ensure that the information required from them was captured on the questionnaires. Self-enumeration was not allowed. The enumeration was carried out over a three week period with a non-response follow-up period of one week as planned, that is on 7 February 2007. The mop-up exercise was carried out from 1 to 7 March. This included follow-up on non-contacts, vacant dwellings, and unoccupied dwellings. However, due to the high number of dwelling units that were being mapped for the non- response follow-up period, the contracts of enumerators were extended beyond 28 February to assist the supervisors during that period. Quality Assurance The FWS and FWC conducted 100% quality checks for accuracy and completeness on all completed questionnaires. In addition, the DSCs, PSCs and Monitors also did quality checks on randomly selected questionnaires and DUs and addressed problematic questions as they came up. In addition, the FWC did 2% spot checks of selected dwelling units within their assigned fieldwork coordination unit to minimise bogus enumeration. Training played a big role in ensuring good quality data from the field. At district level, retraining was done in areas where fieldwork monitors felt that the work was not of the expected quality. A close watch was also kept on individual enumerators, and Fieldwork Supervisors and Fieldwork Coordinators who had problems performing according to expectations were retrained where necessary. Their work was also checked more frequently. FWS were required to package questionnaires in their EA boxes and hand them over to the FWCs soon after the completion of the EA. The FWCs were required to sign for the receipt of the boxes after verifying the contents of the boxes. They were in turn required to hand over the completed boxes to the DLOs for reverse logistics. DLOs were also required to sign for the receipt of the boxes after verifying the contents of the boxes. The boxes were then stored in designed storage areas awaiting shipping back to the data processing centre in Pretoria. Progress reporting for data collection was done on a daily basis. Provinces were provided with procedures and timelines for progress reporting and were able to report progress on a daily basis though at the initial stages, there were problems as outlined below. The Pilot Survey A pilot survey was conducted in February 2006. The purpose of the pilot was to test all the developed strategies, methodologies, systems, and the questionnaire. A total of 782 EAs were covered in the pilot survey. During the pilot survey the effectiveness of instruments, processes and methods used within the scope of the CS were tested. A range of lessons were learnt which led to the refinement of processes, methods and systems towards the main survey. Supervision The data collection approach revolved around the use of a mobile team of four enumerators and a supervisor. The team was assigned a fixed number of EAs to enumerate. The team worked together in each sampled EA and moved to the next one once the targeted EA had been completed. The advantage of this method was that the supervisor was in daily contact with the team, which improved the quality of the data collected during fieldwork. During enumeration, supervisors (who doubled up as drivers) and their teams of four enumerators each, identified the selected EA. They then dropped off each enumerator at a selected dwelling unit, and ascertained that each enumerator had been accepted to conduct the interview. They picked up the enumerator who had completed the interview and immediately checked the questionnaire for errors, consistency and completeness. Where errors were found, the enumerator was sent back to the household to correct the information that had been recorded. If the supervisors were satisfied, they signed off the questionnaire and stored it in a safe place. Supervisors did the same for all the members of their teams until the EA had been completed. The team then moved to another selected EA. Based on the number of sampled EAs (17 098), 1 182 teams comprising 1 182 Fieldwork Supervisors and 4 728 enumerators were formed. Each team was expected to enumerate about 16-20 EAs in three weeks, with an additional one week assigned for non-contacts and refusals. The supervisors were supervised by 236 Fieldwork Coordinators (FWCs), resulting in a Fieldwork Coordinator-to-Supervisor ratio of 1:5. Fieldwork Coordinators were supervised by 55 District Survey Coordinators (DSCs), resulting in a DSC-to-FWC ratio of 1:4. The DSCs were supervised by nine Provincial Survey Coordinators (PSCs), resulting in a PSC-to-DSC ratio of approximately 1:6. The PSCs were based in their respective provincial offices. They coordinated data collection for their assigned province. The 55 DSCs were based in 55 district offices (DOs) that were temporarily created specifically for CS 2007. Each of the 236 FWCs had a temporary local office or fieldwork station that was used as a base during the fieldwork phase of the project, and also for the training of enumerators and supervisors attached to them. The Weights Calculation The Community Survey sample has equal probabilities for all elements in the cluster which make it a self-weighting systematic random sample. Since the sample is stratified by municipalities as demarcated at the time of Census 2001, the inclusion probability of selection of an EA at the first level of selection, and the dwelling unit at the second level of selection, is the product of first and second-level probabilities. Also, since all households within the dwelling unit are considered, their probability of being in the dwelling unit is always one. Editing The automated cleaning was implemented based on an editing rules specification defined with reference to the approved questionnaire. Most of the editing rules were categorised into structural edits looking into the relationship between different record type, the minimum processability rules that removed false positive readings or noise, the logical editing that determine the inconsistency between fields of the same statistical unit, and the inferential editing that search similarities across the domain. The edit specifications document for the structural, population, mortality and housing edits was developed by a team of Stats SA subject-matter specialists, demographers, and programmers. The process was successfully carried out during the months of July/August 2007. Community Survey 2007 Response Rates Total number of dwelling units - 274 348 dwelling units Completed cases responding - 238 067 dwelling units (93,9%) Non-response cases - 15393 dwelling units (6,1%) Invalid or out-of-scope cases - 20 888 dwelling units Quality assurance was a feature of questionnaire design in the survey, as well as the listing of structures, fieldwork (through extensive training and supervision and regular quality checks in the field). Automated and manual editing were carried out as part of the post-capture process during July/August 2007 to ensure data consistency. Cautionary note: The Community Survey results were released on 24 October 2007. After the evaluation of the data by the Stats Council, the Community Survey was found to be comparable in many aspects with other Stats SA surveys, censuses and other external sources. However, there are some areas of concern where Statistics South Africa is urging users to be more cautious when using the Community Survey data. The main concerns are: ·The institutional population is merely an approximation to 2001 numbers and it is not new data. ·The measure of unemployment in the Community Survey is higher and less reliable due to the differences in questions asked relative to the normal Labour Force Surveys. ·The income includes unreasonably high income for children due to presumably misinterpretation of the question, e.g. listing parent's income for the child. ·The distribution of households by province has very little congruence with the General Household Survey or Census 2001. ·The interpretation of grants or those receiving grants need to be done with caution. ·Since the Community Survey is based on random sample and not a Census, any interpretation should be understood to have some random fluctuation in data, particularly concerning the small population for some cells. The user should understand that the figures are within a certain interval of confidence. Users should be aware of these statements as part of the cautionary notes: ·The household estimates at municipal level differ slightly from the national and provincial estimates in terms of the household variables profile; ·The Community Survey has considered as an add-on an approximation of population in areas not covered by the survey, such as institutions and recreational areas. This approximation of people could not provide the number of those households (i.e. institutions). Thus, there is no household record for those people approximated as living out of CS scope; ·Any cross-tabulation giving small numbers at municipal level should be interpreted with caution such as taking small value in given table's cell as likely over or under estimation of the true population; ·No reliance should be placed on numbers for variables broken down at municipal level (i.e. age, population group etc.). However, the aggregated total number per municipality provides more reliable estimates; ·Usually a zero total figure (excluding those in institutions) reflects the fact that no sample was realised and in such cases this is likely to be a significant underestimate of the true population. ·As an extension from the above statement, in a number of instances the number realised in the sample, though not zero, was very small (maybe as low as a single individual) and in some cases had to be re-weighted by a very large factor (maximum nearly 800 for housing weight and over 1000 for person weight). ·As a further consequence, small sub-populations are likely to be heavily over- or under-represented at a household level in the data. ·It should be noted that the estimates were done with the use of the de-facto population and not the de-jure population. The final presentation of results is presented on the de-jure population. DataFirst Publications based on datasets distributed by DataFirst should acknowledge relevant sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this dataset is: Community Survey 2007. [microdata file]. Pretoria: Statistics South Africa [producer], 2008. Cape Town: DataFirst [distributor], 2010. The data files from the Community Survey 2007 are public use files, accessible to all. Users may apply or process this data, provided Statistics South Africa (Stats SA) is acknowledged as the original source of the data; that it is specified that the application and/or analysis is the result of the user's independent processing of the data; and that neither the basic data nor any reprocessed version or application thereof may be sold or offered for sale in any form whatsoever without prior permission from Stats SA. Where a copy of the information is made available to any third party outside the State, the third party must be made aware of the existence of State copyright and ownership of the information by the State. The State (through Statistics South Africa) retains the full ownership of its information, products and services at all times. Access to information does not give ownership of the information to the client. The use of any data is subject to acknowledgement of Statistics South Africa as the supplier and owner of copyright. The information products and services of Stats SA are protected in terms of the Copyright Act, 1978 (Act 98 of 1978). As the State President is the holder of State copyright, all organs of State enjoy unhindered use of the Department's information products and services, without a need for further permission to copy in terms of that copyright. Where a copy of the information is made available to any third party outside the State, the third party must be made aware of the existence of State copyright and ownership of the information by the State. The State (through Statistics South Africa) retains the full ownership of its information, products and services at all times. Access to information does not give ownership of the information to the client. The use of any data is subject to acknowledgement of Statistics South Africa as the supplier and owner of copyright. Statistics South Africa (Stats SA) will not be liable for any damages or losses, except to the extent that such losses or damages are attributable to a breach by Stats SA of its obligations in terms of an existing agreement or to the negligence or wilful act or omissions of Stats SA, its servants or agents, arising out of the supply of data and or digital products in terms of that agreement. The user indemnifies Stats SA against any claims of whatsoever nature (including legal costs) by third parties arising from the reformatting, restructuring, reprocessing and/or addition of the data, by the user. Since there have been demographic changes in South Africa associated, inter alia, with internal and external migration, and population growth. This means that population profiles may have changed at differing geographic levels. Stats SA is not responsible for any damages or losses, arising directly or consequently, which might result from the application or use of these data. CS 2007 Housing Imputation Flags_v1 Imputation flags for the Housing file 246618 21 CS 2007 Person Imputation Flags_v1 Imputation flags for the Person file 1047652 27 CS 2007 Housing_v1.2_20111206 The housing file contains data related to section H of the questionnaire, dealing with housing and household services 246618 29 CS 2007_Mortality_v1.2_20111206 The Mortality file contains data related to section I of the questionnaire. 14969 15 CS 2007_Persons_v1.2_20111206 The Persons file contains data related to section A, B, C, D, E, F and G of the questionnaire. This includes data on demographics, migration, disability and social grants, education, employment and economic activities and parental survival and income. 1047652 57 Unique household identifier Unique household identifier Unique household identifier Unique household identifier Unique household identifier 246618 500000201 500753885 500323210.33 200097.392 Scope status of survey Scope status of survey Scope status of survey Scope status of survey Scope status of survey 246618 Out of scope 1 Information collected by sample Type of main dwelling Type of main dwelling Type of main dwelling Type of main dwelling Type of main dwelling 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Rooms Rooms Rooms Rooms Rooms 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Access to water Access to water Access to water Access to water Access to water 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Service provider Service provider Service provider Service provider Service provider 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Distance from water access point Distance from water access point Distance from water access point Distance from water access point Distance from water access point 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Toilet facilities Toilet facilities Toilet facilities Toilet facilities Toilet facilities 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Energy/Fuel used for cooking Energy/Fuel used for cooking Energy/Fuel used for cooking Energy/Fuel used for cooking Energy/Fuel used for cooking 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Energy/Fuel used for heating Energy/Fuel used for heating Energy/Fuel used for heating Energy/Fuel used for heating Energy/Fuel used for heating 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Energy/Fuel used for lighting Energy/Fuel used for lighting Energy/Fuel used for lighting Energy/Fuel used for lighting Energy/Fuel used for lighting 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Household goods: Refrigerator Household goods: Refrigerator Household goods: Refrigerator Household goods: Refrigerator Household goods: Refrigerator 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Household goods: Radio Household goods: Radio Household goods: Radio Household goods: Radio Household goods: Radio 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Household goods: Television Household goods: Television Household goods: Television Household goods: Television Household goods: Television 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Household goods: Computer Household goods: Computer Household goods: Computer Household goods: Computer Household goods: Computer 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Household goods: Telephone Household goods: Telephone Household goods: Telephone Household goods: Telephone Household goods: Telephone 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Household goods: Internet facilities Household goods: Internet facilities Household goods: Internet facilities Household goods: Internet facilities Household goods: Internet facilities 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Household goods: Post facilities Household goods: Post facilities Household goods: Post facilities Household goods: Post facilities Household goods: Post facilities 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Household goods: Cell phone Household goods: Cell phone Household goods: Cell phone Household goods: Cell phone Household goods: Cell phone 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Tenure status Tenure status Tenure status Tenure status Tenure status 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Refuse disposal Refuse disposal Refuse disposal Refuse disposal Refuse disposal 246618 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Unique household identifier Unique household identifier Unique household identifier Unique household identifier Unique household identifier 1047652 500000201 900098552 537927940.355 116689461.078 Scope status of survey Scope status of survey Scope status of survey Scope status of survey Scope status of survey 1047652 Out of scope 1 Information collected by sample Person number Person number Person number Person number Person number 1047652 1 32 3.029 2.308 Age Age Age Age Age 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Sex Sex Sex Sex Sex 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Usually Stay Usually Stay Usually Stay Usually Stay Usually Stay 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Last Night Stay Last Night Stay Last Night Stay Last Night Stay Last Night Stay 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Relationship Relationship Relationship Relationship Relationship 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Marital Status Marital Status Marital Status Marital Status Marital Status 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Population group Population group Population group Population group Population group 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Province of birth Province of birth Province of birth Province of birth Province of birth 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Five years ago Five years ago Five years ago Five years ago Five years ago 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Period of movement Period of movement Period of movement Period of movement Period of movement 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Province of previous residence Province of previous residence Province of previous residence Province of previous residence Province of previous residence 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Disability Intensity Disability Intensity Disability Intensity Disability Intensity Disability Intensity 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Social grant Social grant Social grant Social grant Social grant 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions School Attendance School Attendance School Attendance School Attendance School Attendance 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Educational Institution Educational Institution Educational Institution Educational Institution Educational Institution 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Public or Independent Institution Public or Independent Institution Public or Independent Institution Public or Independent Institution Public or Independent Institution 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Level of Education Level of Education Level of Education Level of Education Level of Education 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Reasons for not working Reasons for not working Reasons for not working Reasons for not working Reasons for not working 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Availability for work Availability for work Availability for work Availability for work Availability for work 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Work Status Work Status Work Status Work Status Work Status 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Business type Business type Business type Business type Business type 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Mother alive Mother alive Mother alive Mother alive Mother alive 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Father alive Father alive Father alive Father alive Father alive 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Income category Income category Income category Income category Income category 1047652 No imputation 1 Logical imputation (from blank) 2 Logical imputation (non-blank) 3 Dynamic imputation (from blank) 4 Dynamic imputation (non-blank) 9 Institutions Serial number Serial number Serial number Serial number Serial number 246618 Scope status of survey Scope status of survey Scope status of survey Scope status of survey Scope status of survey 246618 1 Information collected by sample Type of main dwelling Type of main dwelling Type of main dwelling Type of main dwelling Type of main dwelling H-01. Which of the following types best describes the main dwelling unit that this household occupies? 246618 1 House or brick structure on a separate stand or yard 2 Traditional dwelling/hut/structure made of traditional material 3 Flat in block of flats 4 Town/cluster/semi-detached house (simplex, duplex, triplex) 5 House/flat/room in backyard 6 Informal dwelling/shack in backyard 7 Informal dwelling/shack NOT in backyard, e.g. in an informal/squatter settlement 8 Room/flatlet NOT in backyard but on a shared property 9 Caravan or tent 10 Private ship/boat 11 Workers' hostel (bed/room) 12 Other Number of rooms Number of rooms Number of rooms Number of rooms Number of rooms H-02. How many rooms, including kitchens, are there for this household? 246618 1 10+ 2 3 4 5 6 7 8 9 Access to water Access to water Access to water Access to water Access to water H-03. In which way does this household obtain WATER for domestic use? 246618 Other 1 Piped water inside the dwelling 2 Piped water inside the yard 3 Piped water from access point outside the yard 4 Borehole 5 Spring 6 Dam/pool 7 River/stream 8 Water vendor 9 Rain water tank Service provider for water Service provider for water Service provider for water Service provider for water Service provider for water H-04. Does the household get water from the Municipality (Regional/Local water scheme)? 246618 1 Yes 2 No 3 Do not know 9 Unspecified Distance from water access point Distance from water access point Distance from water access point Distance from water access point Distance from water access point H-05. What is the distance from water access point? 246618 1 Less than 200m 2 Between 200m and 500m 3 Between 500m and 1km 4 More than 1km 9 Unspecified Toilet facilities Toilet facilities Toilet facilities Toilet facilities Toilet facilities H-06. What is the MAIN type of TOILET facility available for use by this household? 246618 1 Flush toilet (connected to sewerage system) 2 Flush toilet (with septic tank) 3 Dry toilet facility 4 Pit toilet with ventilation (VIP) 5 Pit toilet without ventilation 6 Chemical toilet 7 Bucket toilet system 8 None Energy/fuel used for cooking Energy/fuel used for cooking Energy/fuel used for cooking Energy/fuel used for cooking Energy/fuel used for cooking H-07. What type of energy/fuel does this household MAINLY use for cooking? 246618 1 Electricity 2 Gas 3 Paraffin 4 Wood 5 Coal 7 Animal dung 8 Solar 9 Other Energy/fuel used for heating Energy/fuel used for heating Energy/fuel used for heating Energy/fuel used for heating Energy/fuel used for heating H-08. What type of energy/fuel does this household MAINLY use for heating? 246618 1 Electricity 2 Gas 3 Paraffin 4 Wood 5 Coal 7 Animal dung 8 Solar 9 Other Energy/fuel used for lighting Energy/fuel used for lighting Energy/fuel used for lighting Energy/fuel used for lighting Energy/fuel used for lighting H-09. What type of energy/fuel does this household MAINLY use for lighting? 246618 1 Electricity 2 Gas 3 Paraffin 6 Candles 8 Solar 9 Other Household goods: Refrigerator Household goods: Refrigerator Household goods: Refrigerator Household goods: Refrigerator Household goods: Refrigerator H-10. Does the household have any of the following? a. Refrigerator 246618 1 Yes 2 No Household goods: Radio Household goods: Radio Household goods: Radio Household goods: Radio Household goods: Radio H-10. Does the household have any of the following? b. Radio 246618 1 Yes 2 No Household goods: Computer Household goods: Computer Household goods: Computer Household goods: Computer Household goods: Computer H-10. Does the household have any of the following? d. Computer 246618 1 Yes 2 No Household goods: Television Household goods: Television Household goods: Television Household goods: Television Household goods: Television H-10. Does the household have any of the following? c. Television 246618 1 Yes 2 No Household goods: Telephone Household goods: Telephone Household goods: Telephone Household goods: Telephone Household goods: Telephone H-10. Does the household have any of the following? e. Landline telephone 246618 1 Yes 2 No 9 Unspecified Household goods: Internet facilities Household goods: Internet facilities Household goods: Internet facilities Household goods: Internet facilities Household goods: Internet facilities H-10. Does the household have any of the following? f. Internet facilities at home 246618 1 Yes 2 No 9 Unspecified Household goods: Post facilities Household goods: Post facilities Household goods: Post facilities Household goods: Post facilities Household goods: Post facilities H-10. Does the household have any of the following? g. Post facilities (Mail postbox) 246618 1 Yes 2 No 9 Unspecified Household goods: Cell phone Household goods: Cell phone Household goods: Cell phone Household goods: Cell phone Household goods: Cell phone H-10. Does the household have any of the following? h. Cellphone 246618 1 Yes 2 No 9 Unspecified Tenure status Tenure status Tenure status Tenure status Tenure status H-11. What is the tenure status of this household? 246618 1 Owned and fully paid off 2 Owned but not yet paid off 3 Rented 4 Occupied rent-free 5 Other Refuse disposal Refuse disposal Refuse disposal Refuse disposal Refuse disposal H-12. How is the refuse or rubbish from this household MAINLY disposed of? 246618 1 Removed by local authority/private company at least once a week 2 Removed by local authority/private company less often 3 Communal refuse dump 4 Own refuse dump 5 No rubbish disposal 6 Other Annual household income Annual household income Annual household income Annual household income Annual household income 246618 1 No income 2 R1-R4 800 3 R4 801-R9 600 4 R9 601-R19 200 5 R19 201-R38 400 6 R38 401-R76 800 7 R76 801-R153 600 8 R153 601-R307 200 9 R307 201-R614 400 10 R614 401-R1 228 800 11 R1 228 801-R2 457 600 12 R2 457 601 or more 13 Response not given Weight Weight Weight Weight Weight 246618 0.565 798.603 50.688 20.048 Province code: 2001 Province code: 2001 Province code: 2001 Province code: 2001 Province code: 2001 246618 1 Western Cape 2 Eastern Cape 3 Northern Cape 4 Free State 5 KwaZulu-Natal 6 North West 7 Gauteng 8 Mpumalanga 9 Limpopo Province code: 2005 Province code: 2005 Province code: 2005 Province code: 2005 Province code: 2005 246618 1 Western Cape 2 Eastern Cape 3 Northern Cape 4 Free State 5 KwaZulu-Natal 6 North West 7 Gauteng 8 Mpumalanga 9 Limpopo DC code: 2001 DC code: 2001 DC code: 2001 DC code: 2001 DC code: 2001 246618 1 DC1: West Coast District Municipality 2 DC2: Boland District Municipality 3 DC3: Overberg District Municipality 4 DC4: Eden District Municipality 5 DC5: Central Karoo District Municipality 6 DC6: NAMAKWA District Municipality 7 DC7: KAROO District Municipality 8 DC8: SIYANDA District Municipality 9 DC9: FRANCES BAARD District Municipality 10 DC10: Cacadu District Municipality 12 DC12: Amatole 13 DC13: Chris Hani District Municipality 14 DC14: Ukhahlamba District Municipality 15 DC15: O.R.Tambo 16 DC16: Xhariep District Municipality 17 DC17: Motheo District Municipality 18 DC18: Lejweleputswa District Municipality 19 DC19: Thabo Mofutsanyane District Municipality 20 DC20: Northern Free State District Municipality 21 DC21: Ugu District Municipality 22 DC22: UMgungundlovu District Municipality 23 DC23: Uthukela District Municipality 24 DC24: Umzinyathi District Municipality 25 DC25: Amajuba District Municipality 26 DC26: Zululand District Municipality 27 DC27: Umkhanyakude District Municipality 28 DC28: Uthungulu District Municipality 29 DC29: iLembe District Municipality 30 DC30: Govan Mbeki Municipality 31 DC31: Nkangala 32 DC32: Ehlanzeni 33 DC33: Mopani District Municipality 34 DC34: Vhembe District Municipality 35 DC35: Capricorn District Municipality 36 DC36: Waterberg District Municipality 37 DC37: Bojanala District Municipality 38 DC38: Central District Municipality 39 DC39: Bophirima District Municipality 40 DC40: Southern District Municipality 42 DC42: Sedibeng District Municipality 43 DC43: Sisonke District Municipality 44 DC44: Alfred Nzo District Municipality 81 CBDC1: KGALAGADI District Municipality 82 CBDC2: Metsweding District Municipality 83 CBDC3: Sekhukhune Cross Boundary District Municipality 84 CBDC4: Bohlabela District Municipality 88 CBDC8: West Rand District Municipality 171 Cape Town: City of Cape Town 275 Port Elizabeth: Nelson Mandela 572 Durban: Ethekwini Municipality 773 East Rand: Ekurhuleni Metropolitan Municipality 774 Johannesburg: City of Johannesburg Metropolitan Municipality 776 Pretoria: City of Tshwane Metropolitan Municipality DC code: 2005 DC code: 2005 DC code: 2005 DC code: 2005 DC code: 2005 246618 1 DC1: West Coast 2 DC2: Cape Winelands 3 DC3: Overberg 4 DC4: Eden 5 DC5: Central Karoo 6 DC6: Namakwa 7 DC7: Pixley ka Seme 8 DC8: Siyanda 9 DC9: Frances Baard 10 DC10: Cacadu 12 DC12: Amatole 13 DC13: Chris Hani 14 DC14: Ukhahlamba 15 DC15: O.R.Tambo 16 DC16: Xhariep 17 DC17: Motheo 18 DC18: Lejweleputswa 19 DC19: Thabo Mofutsanyane 20 DC20: Fezile Dabi 21 DC21: Ugu 22 DC22: UMgungundlovu 23 DC23: Uthukela 24 DC24: Umzinyathi 25 DC25: Amajuba 26 DC26: Zululand 27 DC27: Umkhanyakude 28 DC28: Uthungulu 29 DC29: iLembe 30 DC30: Gert Sibande 31 DC31: Nkangala 32 DC32: Ehlanzeni 33 DC33: Mopani 34 DC34: Vhembe 35 DC35: Capricorn 36 DC36: Waterberg 37 DC37: Bojanala 38 DC38: Central 39 DC39: Bophirima 40 DC40: Southern 42 DC42: Sedibeng 43 DC43: Sisonke 44 DC44: Alfred Nzo 45 DC45: Kgalagadi 46 DC46: Metsweding 47 DC47: Greater Sekhukhune 48 DC48: West Rand 171 CPT: City of Cape Town 275 NMA: Nelson Mandela Bay Metro 572 ETH: eThekwini 773 EKU: Ekurhuleni 774 JHB: City of Johannesburg 776 TSH: City of Tshwane Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 246618 81 CBLC1: Ga-Segonyana 82 CBLC2: Kungwini 83 CBLC3: Greater Marble Hall 84 CBLC4: Greater Groblersdal 85 CBLC5: Greater Tubatse 86 CBLC6: Bushbuckridge 87 CBLC7: Phokwane 88 CBLC8: Merafong City 101 WC011: Matzikama 102 WC012: Cederberg 103 WC013: Bergrivier 104 WC014: Saldanha Bay 105 WC015: Swartland 106 WC022: Witzenberg 107 WC023: Drakenstein 108 WC024: Stellenbosch 109 WC025: Breede Valley 110 WC026: Breede River/Winelands 111 WC031: Theewaterskloof 112 WC032: Overstrand 113 WC033: Cape Agulhas 114 WC034: Swellendam 115 WC041: Kannaland 116 WC042: Langeberg 117 WC043: Mossel Bay 118 WC044: George 119 WC045: Oudtshoorn 120 WC047: Plettenberg Bay 121 WC048: Knysna 122 WC051: Laingsburg 123 WC052: Prince Albert 124 WC053: Beaufort West 171 Cape Town: City of Cape Town 191 WCDMA01: West Coast 192 WCDMA02: Breede River 193 WCDMA03: Overberg 194 WCDMA04: South Cape 195 WCDMA05: Central Karoo 201 EC101: Camdeboo 202 EC102: Blue Crane Route 203 EC103: Ikwezi 204 EC104: Makana 205 EC105: Ndlambe 206 EC106: Sunday's River Valley 207 EC107: Baviaans 208 EC108: Kouga 209 EC109: Kou-Kamma 210 EC121: Mbhashe 211 EC122: Mnquma 212 EC123: Great Kei 213 EC124: Amahlathi 214 EC125: Buffalo City 215 EC126: Ngqushwa 216 EC127: Nkonkobe 217 EC128: Nxuba 218 EC131: Inxuba Yethemba 219 EC132: Tsolwana 220 EC133: Inkwanca 221 EC134: Lukanji 222 EC135: Intsika Yethu 223 EC136: Emalahleni 224 EC137: Engcobo 225 EC138: Sakhisizwe 226 EC141: Elundini 227 EC142: Senqu 228 EC143: Maletswai 229 EC144: Gariep 230 EC151: Mbizana 231 EC152: Ntabankulu 232 EC153: Qaukeni 233 EC154: Port St Johns 234 EC155: Nyandeni 235 EC156: Mhlontlo 236 EC157: King Sabata Dalindyebo 237 EC05b1: Umzimkhulu 238 EC05b2: Umzimvubu 275 Port Elizabeth: Nelson Mandela 291 ECDMA10: Aberdeen Plain 292 ECDMA13: Mountain Zebra National Park 301 NC061: Richtersveld 302 NC062: Nama Khoi 303 NC064: Kamiesberg 304 NC065: Hantam 305 NC066: Karoo Hoogland 306 NC067: Khâi-Ma 307 NC071: Ubuntu 308 NC072: Umsombomvu 309 NC073: Emthanjeni 310 NC074: Kareeberg 311 NC075: Renosterberg 312 NC076: Thembelihle 313 NC077: Siyathemba 314 NC078: Siyancuma 315 NC081: Mier 316 NC082: Kai !Garib 317 NC083: ||Khara Hais 318 NC084: !Kheis 319 NC085: Tsantsabane 320 NC086: Kgatelopele 321 NC091: Sol Plaatje 322 NC092: Dikgatlong 323 NC093: Magareng 324 NC01B1: Gamagara 391 NCDMA06: Namaqualand 392 NCDMA07: Bo Karoo 393 NCDMA08: Benede Oranje 394 NCDMA09: Diamondfields 395 NCDMACB1: Kalahari 401 FS161: Letsemeng 402 FS162: Kopanong 403 FS163: Mohokare 404 FS171: Naledi 405 FS172: Mangaung 406 FS173: Mantsopa 407 FS181: Masilonyana 408 FS182: Tokologo 409 FS183: Tswelopele 410 FS184: Matjhabeng 411 FS185: Nala 412 FS191: Setsoto 413 FS192: Dihlabeng 414 FS193: Nketoana 415 FS194: Maluti a Phofung 416 FS195: Phumelela 417 FS201: Moqhaka 418 FS203: Ngwathe 419 FS204: Metsimaholo 420 FS205: Mafube 491 FSDMA19: Golden Gate Highlands National Park 501 KZ211: Vulamehlo 502 KZ212: Umdoni 503 KZ213: Umzumbe 504 KZ214: uMuziwabantu 505 KZ215: Ezingoleni 506 KZ216: Hibiscus Coast 507 KZ221: uMshwathi 508 KZ222: uMngeni 509 KZ223: Mooi Mpofana 510 KZ224: Impendle 511 KZ225: Msunduzi 512 KZ226: Mkhambathini 513 KZ227: Richmond 514 KZ232: Emnambithi/Ladysmith 515 KZ233: Indaka 516 KZ234: Umtshezi 517 KZ235: Okhahlamba 518 KZ236: Imbabazane 519 KZ241: Endumeni 520 KZ242: Nqutu 522 KZ244: Msinga 523 KZ245: Umvoti 524 KZ252: Newcastle 525 KZ253: Utrecht 526 KZ254: Dannhauser 527 KZ261: eDumbe 528 KZ262: uPhongolo 529 KZ263: Abaqulusi 530 KZ265: Nongoma 531 KZ266: Ulundi 532 KZ271: Umhlabuyalingana 533 KZ272: Jozini 534 KZ273: The Big 5 False Bay 535 KZ274: Hlabisa 536 KZ275: Mtubatuba 537 KZ281: Mbonambi 538 KZ282: uMhlathuze 539 KZ283: Ntambanana 540 KZ284: uMlalazi 541 KZ285: Mthonjaneni 542 KZ286: Nkandla 543 KZ291: eNdondakusuka 544 KZ292: KwaDukuza 545 KZ293: Ndwedwe 546 KZ294: Maphumulo 547 KZ5a1: Ingwe 548 KZ5a2: Kwa Sani 549 KZ5a3: Matatiele 550 KZ5a4: Greater Kokstad 551 KZ5a5: Ubuhlebezwe 572 Durban: Ethekwini 591 KZDMA22: Highmoor/Kamberg Park 592 KZDMA23: Gaints Castle Game Reserve 593 KZDMA27: St Lucia Park 594 KZDMA43: Mkhomazi Wilderness Area 601 NW371: Moretele 602 NW372: Madibeng 603 NW373: Rustenburg 604 NW374: Kgetlengrivier 605 NW375: Moses Kotane 606 NW381: Setla-Kgobi 607 NW382: Tswaing 608 NW383: Mafikeng 609 NW384: Ditsobotla 610 NW385: Zeerust 611 NW391: Kagisano 612 NW392: Naledi 613 NW393: Mamusa 614 NW394: Greater Taung 615 NW395: Molopo 616 NW396: Lekwa-Teemane 617 NW401: Ventersdorp 618 NW402: Potchefstroom 619 NW403: City Council of Klerksdorp 620 NW404: Maquassi Hills 621 NW1a1: Moshaweng 701 GT411: Mogale City 702 GT412: Randfontein 703 GT414: Westonaria 704 GT421: Emfuleni 705 GT422: Midvaal 706 GT423: Lesedi 707 GT02b1: Nokeng tsa Taemane 773 East Rand: Ekurhuleni Metro 774 Johannesburg: City of Johannesburg Metro 776 Pretoria: City of Tshwane Metro 791 GTDMA41: West Rand 801 MP301: Albert Luthuli 802 MP302: Msukaligwa 803 MP303: Mkhondo 804 MP304: Seme 805 MP305: Lekwa 806 MP306: Dipaleseng 807 MP307: Highveld East 808 MP311: Delmas 809 MP312: Emalahleni 810 MP313: Middelburg 811 MP314: Highlands 812 MP315: Thembisile 813 MP316: Dr JS Moroka 814 MP321: Thaba Chweu 815 MP322: Mbombela 816 MP323: Umjindi 817 MP324: Nkomazi 891 CBDMA3: Schuinsdraai Nature Reserve 892 MPDMA31: Mdala Nature Reserve 893 MPDMA32: Lowveld 901 NP331: Greater Giyani 902 NP332: Greater Letaba 903 NP333: Greater Tzaneen 904 NP334: Ba-Phalaborwa 905 NP341: Musina 906 NP342: Mutale 907 NP343: Thulamela 908 NP344: Makhado 909 NP351: Blouberg 910 NP352: Aganang 911 NP353: Molemole 912 NP354: Polokwane 913 NP355: Lepele-Nkumpi 914 NP361: Thabazimbi 915 NP362: Lephalale 916 NP364: Mookgopong 917 NP365: Modimolle 918 NP366: Bela-Bela 919 NP367: Mogalakwena 920 NP03A2: Makhuduthamaga 921 NP03A3: Fetakgomo 922 NP04A1: Maruleng 996 CBDMA4: Kruger Park Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 246618 101 WC011: Matzikama Local Municipality 102 WC012: Cederberg Local Municipality 103 WC013: Bergrivier Local Municipality 104 WC014: Saldanha Bay Local Municipality 105 WC015: Swartland Local Municipality 106 WC022: Witzenberg Local Municipality 107 WC023: Drakenstein Local Municipality 108 WC024: Stellenbosch Local Municipality 109 WC025: Breede Valley Local Municipality 110 WC026: Breede River/Winelands Local Municipality 111 WC031: Theewaterskloof Local Municipality 112 WC032: Overstrand Local Municipality 113 WC033: Cape Agulhas Local Municipality 114 WC034: Swellendam Local Municipality 115 WC041: Kannaland Local Municipality 116 WC042: Hessequa Local Municipality 117 WC043: Mossel Bay Local Municipality 118 WC044: George Local Municipality 119 WC045: Oudtshoorn Local Municipality 120 WC047: Bitou Local Municipality 121 WC048: Knysna Local Municipality 122 WC051: Laingsburg Local Municipality 123 WC052: Prince Albert Local Municipality 124 WC053: Beaufort West Local Municipality 171 CPT: City of Cape Town Metropolitan Municipality 191 WCDMA01: West Coast 192 WCDMA02: Cape Winelands 193 WCDMA03: Overberg 194 WCDMA04: Eden 195 WCDMA05: Central Karoo 201 EC101: Camdeboo Local Municipality 202 EC102: Blue Crane Route Local Municipality 203 EC103: Ikwezi Local Municipality 204 EC104: Makana Local Municipality 205 EC105: Ndlambe Local Municipality 206 EC106: Sunday's River Valley Local Municipality 207 EC107: Baviaans Local Municipality 208 EC108: Kouga Local Municipality 209 EC109: Kou-Kamma Local Municipality 210 EC121: Mbhashe Local Municipality 211 EC122: Mnquma Local Municipality 212 EC123: Great Kei Local Municipality 213 EC124: Amahlathi Local Municipality 214 EC125: Buffalo City Local Municipality 215 EC126: Ngqushwa Local Municipality 216 EC127: Nkonkobe Local Municipality 217 EC128: Nxuba Local Municipality 218 EC131: Inxuba Yethemba Local Municipality 219 EC132: Tsolwana Local Municipality 220 EC133: Inkwanca Local Municipality 221 EC134: Lukanji Local Municipality 222 EC135: Intsika Yethu Local Municipality 223 EC136: Emalahleni Local Municipality 224 EC137: Engcobo Local Municipality 225 EC138: Sakhisizwe Local Municipality 226 EC141: Elundini Local Municipality 227 EC142: Senqu Local Municipality 228 EC143: Maletswai Local Municipality 229 EC144: Gariep Local Municipality 230 EC151: Mbizana Local Municipality 231 EC152: Ntabankulu Local Municipality 232 EC153: Qaukeni Local Municipality 233 EC154: Port St Johns Local Municipality 234 EC155: Nyandeni Local Municipality 235 EC156: Mhlontlo Local Municipality 236 EC157: King Sabata Dalindyebo Local Municipality 238 EC442: Umzimvubu Local Municipality 249 EC441: Matatiele Local Municipality 275 NMA: Nelson Mandela Bay Metropolitan Municipality 291 ECDMA10: Cacadu 292 ECDMA13: Chris Hani 301 NC061: Richtersveld Local Municipality 302 NC062: Nama Khoi Local Municipality 303 NC064: Kamiesberg Local Municipality 304 NC065: Hantam Local Municipality 305 NC066: Karoo Hoogland Local Municipality 306 NC067: Khâi-Ma Local Municipality 307 NC071: Ubuntu Local Municipality 308 NC072: Umsobomvu Local Municipality 309 NC073: Emthanjeni Local Municipality 310 NC074: Kareeberg Local Municipality 311 NC075: Renosterberg Local Municipality 312 NC076: Thembelihle Local Municipality 313 NC077: Siyathemba Local Municipality 314 NC078: Siyancuma Local Municipality 315 NC081: Mier Local Municipality 316 NC082: Kai !Garib Local Municipality 317 NC083: //Khara Hais Local Municipality 318 NC084: !Kheis Local Municipality 319 NC085: Tsantsabane Local Municipality 320 NC086: Kgatelopele Local Municipality 321 NC091: Sol Plaatjie Local Municipality 322 NC092: Dikgatlong Local Municipality 323 NC093: Magareng Local Municipality 324 NC453: Gamagara Local Municipality 325 NC451: Moshaweng Local Municipality 326 NC094: Phokwane Local Municipality 352 NC452: Ga-Segonyana Local Municipality 391 NCDMA06: Namakwa 392 NCDMA07: Pixley ka Seme 393 NCDMA08: Siyanda 394 NCDMA09: Frances Baard 395 NCDMA45: Kgalagadi 401 FS161: Letsemeng Local Municipality 402 FS162: Kopanong Local Municipality 403 FS163: Mohokare Local Municipality 404 FS171: Naledi Local Municipality 405 FS172: Mangaung Local Municipality 406 FS173: Mantsopa Local Municipality 407 FS181: Masilonyana Local Municipality 408 FS182: Tokologo Local Municipality 409 FS183: Tswelopele Local Municipality 410 FS184: Matjhabeng Local Municipality 411 FS185: Nala Local Municipality 412 FS191: Setsoto Local Municipality 413 FS192: Dihlabeng Local Municipality 414 FS193: Nketoana Local Municipality 415 FS194: Maluti a Phofung Local Municipality 416 FS195: Phumelela Local Municipality 417 FS201: Moqhaka Local Municipality 418 FS203: Ngwathe Local Municipality 419 FS204: Metsimaholo Local Municipality 420 FS205: Mafube Local Municipality 491 FSDMA19: Thabo Mofutsanyane 501 KZN211: Vulamehlo Local Municipality 502 KZN212: Umdoni Local Municipality 503 KZN213: Umzumbe Local Municipality 504 KZN214: UMuziwabantu Local Municipality 505 KZN215: Ezingoleni Local Municipality 506 KZN216: Hibiscus Coast Local Municipality 507 KZN221: uMshwathi Local Municipality 508 KZN222: uMngeni Local Municipality 509 KZN223: Mpofana Local Municipality 510 KZN224: Impendle Local Municipality 511 KZN225: The Msunduzi Local Municipality 512 KZN226: Mkhambathini Local Municipality 513 KZN227: Richmond Local Municipality 514 KZN232: Emnambithi-Ladysmith Local Municipality 515 KZN233: Indaka Local Municipality 516 KZN234: Umtshezi Local Municipality 517 KZN235: Okhahlamba Local Municipality 518 KZN236: Imbabazane Local Municipality 519 KZN241: Endumeni Local Municipality 520 KZN242: Nquthu Local Municipality 522 KZN244: Msinga Local Municipality 523 KZN245: Umvoti Local Municipality 524 KZN252: Newcastle Local Municipality 525 KZN253: Emadlangeni Local Municipality 526 KZN254: Dannhauser Local Municipality 527 KZN261: eDumbe Local Municipality 528 KZN262: UPhongolo Local Municipality 529 KZN263: Abaqulusi Local Municipality 530 KZN265: Nongoma Local Municipality 531 KZN266: Ulundi Local Municipality 532 KZN271: Umhlabuyalingana Local Municipality 533 KZN272: Jozini Local Municipality 534 KZN273: The Big Five False Bay Local Municipality 535 KZN274: Hlabisa Local Municipality 536 KZN275: Mtubatuba Local Municipality 537 KZN281: Mbonambi Local Municipality 538 KZN282: uMhlathuze Local Municipality 539 KZN283: Ntambanana Local Municipality 540 KZN284: uMlalazi Local Municipality 541 KZN285: Mthonjaneni Local Municipality 542 KZN286: Nkandla Local Municipality 543 KZN291: Mandeni Local Municipality 544 KZN292: KwaDukuza Local Municipality 545 KZN293: Ndwedwe Local Municipality 546 KZN294: Maphumulo Local Municipality 547 KZN431: Ingwe Local Municipality 548 KZN432: Kwa Sani Local Municipality 550 KZN433: Greater Kokstad Local Municipality 551 KZN434: Ubuhlebezwe Local Municipality 552 KZN435: Umzimkhulu Local Municipality 572 ETH: eThekwini Metropolitan Municipality 591 KZDMA22: UMgungundlovu 592 KZDMA23: Uthukela 593 KZDMA27: Umkhanyakude 594 KZDMA43: Sisonke 601 NW371: Moretele Local Municipality 602 NW372: Local Municipality of Madibeng 603 NW373: Rustenburg Local Municipality 604 NW374: Kgetlengrivier Local Municipality 605 NW375: Moses Kotane Local Municipality 606 NW381: Ratlou Local Municipality 607 NW382: Tswaing Local Municipality 608 NW383: Mafikeng Local Municipality 609 NW384: Ditsobotla Local Municipality 610 NW385: Ramotshere Moiloa Local Municipality 611 NW391: Kagisano Local Municipality 612 NW392: Naledi Local Municipality 613 NW393: Mamusa Local Municipality 614 NW394: Greater Taung Local Municipality 615 NW395: Molopo Local Municipality 616 NW396: Lekwa-Teemane Local Municipality 617 NW401: Ventersdorp Local Municipality 618 NW402: Potchefstroom Local Municipality 619 NW403: City of Matlosana 620 NW404: Maquassi Hills Local Municipality 622 NW405: Merafong City Local Municipality 701 GT481: Mogale City Local Municipality 702 GT482: Randfontein Local Municipality 703 GT483: Westonaria Local Municipality 704 GT421: Emfuleni Local Municipality 705 GT422: Midvaal Local Municipality 706 GT423: Lesedi Local Municipality 707 GT461: Nokeng tsa Taemane Local Municipality 762 GT462: Kungwini Local Municipality 773 EKU: Ekurhuleni Metropolitan Municipality 774 JHB: City of Johannesburg Metropolitan Municipality 776 TSH: City of Tshwane Metropolitan Municipality 791 GTDMA48: West Rand 801 MP301: Albert Luthuli Local Municipality 802 MP302: Msukaligwa Local Municipality 803 MP303: Mkhondo Local Municipality 804 MP304: Seme Local Municipality 805 MP305: Lekwa Local Municipality 806 MP306: Dipaleseng Local Municipality 807 MP307: Govan Mbeki Local Municipality 808 MP311: Delmas Local Municipality 809 MP312: Emalahleni Local Municipality 810 MP313: Steve Tshwete Local Municipality 811 MP314: Emakhazeni Local Municipality 812 MP315: Thembisile Local Municipality 813 MP316: Dr JS Moroka Local Municipality 814 MP321: Thaba Chweu Local Municipality 815 MP322: Mbombela Local Municipality 816 MP323: Umjindi Local Municipality 817 MP324: Nkomazi Local Municipality 825 MP325: Bushbuckridge Local Municipality 893 MPDMA32: Ehlanzeni 901 LIM331: Greater Giyani Local Municipality 902 LIM332: Greater Letaba Local Municipality 903 LIM333: Greater Tzaneen Local Municipality 904 LIM334: Ba-Phalaborwa Local Municipality 905 LIM341: Musina Local Municipality 906 LIM342: Mutale Local Municipality 907 LIM343: Thulamela Local Municipality 908 LIM344: Makhado Local Municipality 909 LIM351: Blouberg Local Municipality 910 LIM352: Aganang Local Municipality 911 LIM353: Molemole Local Municipality 912 LIM354: Polokwane Local Municipality 913 LIM355: Lepele-Nkumpi Local Municipality 914 LIM361: Thabazimbi Local Municipality 915 LIM362: Lephalale Local Municipality 916 LIM364: Mookgopong Local Municipality 917 LIM365: Modimolle Local Municipality 918 LIM366: Bela-Bela Local Municipality 919 LIM367: Mogalakwena Local Municipality 920 LIM473: Makhuduthamaga Local Municipality 921 LIM474: Fetakgomo Local Municipality 922 LIM335: Maruleng Local Municipality 971 LIM471: Greater Marble Hall Local Municipality 972 LIM472: Elias Motsoaledi Local Municipality 975 LIM475: Greater Tubatse Local Municipality 996 LIMDMA33: Mopani Serial number Serial number Serial number Serial number Serial number 14969 Scope status of survey Scope status of survey Scope status of survey Scope status of survey Scope status of survey 14969 1 Information collected by sample Month of death Month of death Month of death Month of death Month of death M-04. What was the month and year of (the deceased)’s death? 14969 1 January 2 February 3 March 4 April 5 May 6 June 7 July 8 August 9 September 10 October 11 November 12 December Year of death Year of death Year of death Year of death Year of death M-04. What was the month and year of (the deceased)'s death? 14969 2006 2006 2007 2007 Sex of deceased Sex of deceased Sex of deceased Sex of deceased Sex of deceased M-05. Was the (deceased) male or female? 14969 1 2 Age of deceased Age of deceased Age of deceased Age of deceased Age of deceased M-06. What was the (the deceased)’s age in completed years at the time of death? 14969 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 116 116 Cause of death Cause of death Cause of death Cause of death Cause of death M-07. What caused the death of (the deceased)? 14969 1 Unnatural 2 Natural Pregnant at time of death Pregnant at time of death Pregnant at time of death Pregnant at time of death Pregnant at time of death M-08. Was (the deceased) pregnant at time of death or died within six weeks after delivery? 14969 1 Yes 2 No 8 Not applicable Mortality weight Mortality weight Mortality weight Mortality weight Mortality weight 14969 1.204 293.614 48.663 17.628 Province code: 2001 Province code: 2001 Province code: 2001 Province code: 2001 Province code: 2001 14969 1 2 3 4 5 6 7 8 9 Province code: 2005 Province code: 2005 Province code: 2005 Province code: 2005 Province code: 2005 14969 1 2 3 4 5 6 7 8 9 DC code: 2001 DC code: 2001 DC code: 2001 DC code: 2001 DC code: 2001 14969 1 10 12 13 14 15 16 17 171 18 19 2 20 21 22 23 24 25 26 27 275 28 29 3 30 31 32 33 34 35 36 37 38 39 4 40 42 43 44 5 572 6 7 773 774 776 8 81 82 83 84 88 9 DC code: 2005 DC code: 2005 DC code: 2005 DC code: 2005 DC code: 2005 14969 1 10 12 13 14 15 16 17 171 18 19 2 20 21 22 23 24 25 26 27 275 28 29 3 30 31 32 33 34 35 36 37 38 39 4 40 42 43 44 45 46 47 48 5 572 6 7 773 774 776 8 9 Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 14969 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 171 191 192 194 195 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 275 291 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 392 393 394 395 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 572 593 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 701 702 703 704 705 706 707 773 774 776 791 801 802 803 804 805 806 807 808 809 81 810 811 812 813 814 815 816 817 82 83 84 85 86 87 88 893 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 14969 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 171 191 192 194 195 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 238 249 275 291 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 352 392 393 394 395 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 550 551 552 572 593 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 622 701 702 703 704 705 706 707 762 773 774 776 791 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 825 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 971 972 975 Serial number Serial number Serial number Serial number Serial number 1047652 Scope status of survey Scope status of survey Scope status of survey Scope status of survey Scope status of survey 1047652 1 Person number Person number Person number Person number Person number P-01 Person number 1047652 1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26 27 28 29 3 30 31 32 4 5 6 7 8 9 Age Age Age Age Age P-01. Age 1047652 1 10 100 101 102 103 104 105 106 107 108 109 11 110 111 112 113 114 115 116 117 118 119 12 120 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26 27 28 29 3 30 31 32 33 34 35 36 37 38 39 4 40 41 42 43 44 45 46 47 48 49 5 50 51 52 53 54 55 56 57 58 59 6 60 61 62 63 64 65 66 67 68 69 7 70 71 72 73 74 75 76 77 78 79 8 80 81 82 83 84 85 86 87 88 89 9 90 91 92 93 94 95 96 97 98 99 Sex Sex Sex Sex Sex P-01. Sex 1047652 1 2 Usually stay Usually stay Usually stay Usually stay Usually stay P-05. Does (the person) usually live in this household for at least four nights a week and has done so over the last four weeks? 1047652 1 2 I Last night stay Last night stay Last night stay Last night stay Last night stay P-06. Did (the person) stay in this household last night? 1047652 1 2 I Relationship Relationship Relationship Relationship Relationship P-07. What is (the person)’s relationship to the head or acting head of the household? 1047652 1 10 11 12 13 14 2 3 4 5 6 7 8 9 I Marital status Marital status Marital status Marital status Marital status P-08. What is (the person)’s PRESENT marital status? 1047652 1 2 3 4 5 6 7 8 I Population group Population group Population group Population group Population group P-10. How would (the person) describe himself/herself in terms of propulation group? 1047652 1 2 3 4 Province of birth Province of birth Province of birth Province of birth Province of birth P-11. In which province in South Africa was (the person) born? 1047652 1 10 11 2 3 4 5 6 7 8 9 99 I Five years ago Five years ago Five years ago Five years ago Five years ago P-16. Was (the person) living in this dwelling in October 2001? 1047652 1 2 3 I Period of movement Period of movement Period of movement Period of movement Period of movement P-17. In which year and month did (the person) move to this dwelling? 1047652 2001 2002 2003 2004 2005 2006 2007 7777 8888 9999 I Province of previous residence Province of previous residence Province of previous residence Province of previous residence Province of previous residence P-18. In which province did (the person) live before moving to this dwelling? 1047652 1 10 11 2 3 4 5 6 7 77 8 88 9 99 I Disability type Disability type Disability type Disability type Disability type 1047652 1 2 3 4 5 6 7 I Disability intensity Disability intensity Disability intensity Disability intensity Disability intensity P-23. Does the disability seriously prevent (the person) from full participation in life activities (such as education, work, social life, etc.)? 1047652 1 2 I Social grant Social grant Social grant Social grant Social grant P-24. Does (the person) receive any social / government grant? 1047652 1 2 3 I Type of social grant Type of social grant Type of social grant Type of social grant Type of social grant 1047652 1 2 3 4 5 6 7 8 I School attendance School attendance School attendance School attendance School attendance P-26. Does (the person) presently attend an educational institution? 1047652 1 2 I Educational institution Educational institution Educational institution Educational institution Educational institution P-27. Which of the following educational institutions does (the person) attend? 1047652 1 2 3 4 5 6 7 8 9 I Public or independent institution Public or independent institution Public or independent institution Public or independent institution Public or independent institution P-28. Is the institution (the person) attends public (government) or independent (private)? 1047652 1 2 3 8 9 I Level of education Level of education Level of education Level of education Level of education P-29. What is the highest level of education that (the person) has completed? 1047652 1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 3 4 5 6 7 8 9 98 99 I Employment status Employment status Employment status Employment status Employment status 1047652 1 2 3 9 I Reasons for not working Reasons for not working Reasons for not working Reasons for not working Reasons for not working P-32. Why did (the person) not work during the past seven days? 1047652 1 10 11 12 13 2 3 4 5 6 7 8 9 98 99 I Availability for work Availability for work Availability for work Availability for work Availability for work P-33. If a suitable job is offered, how soon can (the person) start work? 1047652 1 2 3 4 5 6 7 8 9 I Work status Work status Work status Work status Work status If YES to any of P-30a to P-30g or P-31 P-36. How can one describe (the person)’s main activity or work status best? 1047652 1 2 3 4 5 8 9 I Business type Business type Business type Business type Business type P-37. Is the organisation/company/business/enterprise/branch where (the person) works, in the formal or informal sector? 1047652 1 2 3 8 9 I Occupation Occupation Occupation Occupation Occupation P-38. What is the main occupation of (the person) in this workplace? 1047652 1 2 3 4 5 6 7 8 9 I X Y Industry Industry Industry Industry Industry P-39b. What is the main business/function of the company that (the person) works (main economic activity) for? 1047652 1 2 3 4 5 6 7 8 9 I X Y Mother alive Mother alive Mother alive Mother alive Mother alive P-48. Is (the person)’s own biological mother still alive? 1047652 1 2 3 I Father alive Father alive Father alive Father alive Father alive P-50. Is (the person)’s own biological father still alive? 1047652 1 2 3 I Monthly income category Monthly income category Monthly income category Monthly income category Monthly income category P-52. What is the income category that best describes the gross monthly or annual income of (the person) before deductions and including all sources of income? 1047652 1 10 11 12 13 2 3 4 5 6 7 8 9 I Total births Total births Total births Total births Total births P-40. Has (the person) ever given birth to a live child even if the child died soon after birth? 1047652 1 2 8 I Total children ever born Total children ever born Total children ever born Total children ever born Total children ever born P-41. a. How many children has (the person) ever had that were born alive, even if they died soon after birth 1047652 1 10 11 12 13 14 15 16 2 3 4 5 6 7 8 88 9 99 I Male children ever born Male children ever born Male children ever born Male children ever born Male children ever born P-41. b. How many are boys? 1047652 1 10 11 12 14 2 3 4 5 6 7 8 88 9 99 I Female children ever born Female children ever born Female children ever born Female children ever born Female children ever born P-41. c. How many are girls? 1047652 1 10 11 12 13 2 3 4 5 6 7 8 88 9 99 I Total children surviving and living in this household Total children surviving and living in this household Total children surviving and living in this household Total children surviving and living in this household Total children surviving and living in this household P-42. a. How many of (the person)’s children are still alive and living with her in this household, including grown-ups? 1047652 1 10 11 12 13 14 15 16 17 18 2 20 22 3 4 5 6 7 8 88 9 99 I Male children surviving and living in this household Male children surviving and living in this household Male children surviving and living in this household Male children surviving and living in this household Male children surviving and living in this household P-42.b. How many are boys? 1047652 1 10 11 12 2 3 4 5 6 7 8 88 9 99 I Female children surviving and living in this household Female children surviving and living in this household Female children surviving and living in this household Female children surviving and living in this household Female children surviving and living in this household P-42.c. How many are girls? 1047652 1 10 11 12 13 17 2 3 4 5 6 7 8 88 9 99 I Total children surviving and living elsewhere Total children surviving and living elsewhere Total children surviving and living elsewhere Total children surviving and living elsewhere Total children surviving and living elsewhere P-43. a. How many of (the person)’s children are still alive and living elsewhere, including grown-ups? 1047652 1 10 11 12 13 14 16 18 2 20 3 4 5 6 7 8 88 9 99 I Male children surviving and living elsewhere Male children surviving and living elsewhere Male children surviving and living elsewhere Male children surviving and living elsewhere Male children surviving and living elsewhere P-43. b. How many are boys? 1047652 1 10 11 12 14 15 2 3 4 5 6 7 8 88 9 99 I Female children surviving and living elsewhere Female children surviving and living elsewhere Female children surviving and living elsewhere Female children surviving and living elsewhere Female children surviving and living elsewhere P-43. c. How many are girls? 1047652 1 10 11 12 13 2 3 4 5 6 7 8 88 9 99 I Total children no longer alive Total children no longer alive Total children no longer alive Total children no longer alive Total children no longer alive P-44. a. How many of (the person)’s children are no longer alive? 1047652 1 10 11 12 13 15 17 2 3 4 5 6 7 8 88 9 99 I Males no longer alive Males no longer alive Males no longer alive Males no longer alive Males no longer alive P-44. b. How many were boys? 1047652 1 10 11 2 3 4 5 6 7 8 88 9 99 I Females no longer alive Females no longer alive Females no longer alive Females no longer alive Females no longer alive P-44. c. How many were girls? 1047652 1 10 11 12 15 17 2 3 4 5 6 7 8 88 9 99 I Last child born day Last child born day Last child born day Last child born day Last child born day P-45. If the person has ever given live birth: When was (the person)’s last child born, even if the child died soon after birth? 1047652 1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26 27 28 29 3 30 31 4 5 6 7 8 88 9 99 I Last child born month Last child born month Last child born month Last child born month Last child born month P-45. If the person has ever given live birth: When was (the person)'s last child born, even if the child died soon after birth? 1047652 1 10 11 12 2 3 4 5 6 7 8 88 9 99 I Last child born year Last child born year Last child born year Last child born year Last child born year P-45. If the person has ever given live birth: When was (the person)'s last child born, even if the child died soon after birth? 1047652 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 8888 9999 I Last child born sex Last child born sex Last child born sex Last child born sex Last child born sex P-46. Is (the person)’s last born child male or female? 1047652 1 2 8 9 I Last born child alive Last born child alive Last born child alive Last born child alive Last born child alive P-47. Is (the person)’s last born child still alive? 1047652 1 2 8 9 I Weight Weight Weight Weight Weight 1047652 778.233 46.296 23.782 Province code: 2001 Province code: 2001 Province code: 2001 Province code: 2001 Province code: 2001 1047652 1 2 3 4 5 6 7 8 9 Province code: 2005 Province code: 2005 Province code: 2005 Province code: 2005 Province code: 2005 1047652 1 2 3 4 5 6 7 8 9 DC code: 2001 DC code: 2001 DC code: 2001 DC code: 2001 DC code: 2001 1047652 1 10 12 13 14 15 16 17 171 18 19 2 20 21 22 23 24 25 26 27 275 28 29 3 30 31 32 33 34 35 36 37 38 39 4 40 42 43 44 5 572 6 7 773 774 776 8 81 82 83 84 88 9 DC code: 2005 DC code: 2005 DC code: 2005 DC code: 2005 DC code: 2005 1047652 1 10 12 13 14 15 16 17 171 18 19 2 20 21 22 23 24 25 26 27 275 28 29 3 30 31 32 33 34 35 36 37 38 39 4 40 42 43 44 45 46 47 48 5 572 6 7 773 774 776 8 9 Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 Municipality code: 2001 1047652 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 171 191 192 193 194 195 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 275 291 292 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 391 392 393 394 395 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 491 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 572 591 592 593 594 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 701 702 703 704 705 706 707 773 774 776 791 801 802 803 804 805 806 807 808 809 81 810 811 812 813 814 815 816 817 82 83 84 85 86 87 88 891 892 893 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 996 Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 Municipality code: 2005 1047652 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 171 191 192 193 194 195 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 238 249 275 291 292 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 352 391 392 393 394 395 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 491 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 550 551 552 572 591 592 593 594 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 622 701 702 703 704 705 706 707 762 773 774 776 791 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 825 893 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 971 972 975 996