Post-enumeration Survey (PES) - Statistics South Africa
Post-enumeration Survey (PES) - Statistics South Africa
Post-enumeration Survey (PES) - Statistics South Africa
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<strong>Statistics</strong> <strong>South</strong> <strong>Africa</strong><br />
17<br />
Table 3: Summary of final result codes<br />
<strong>PES</strong>_FINAL_RESULT_CODE<br />
0 11 12 21 22 31 32 33 34<br />
Province<br />
N N N N N N N N N N<br />
Western Cape 1 5 11 558 10 339 75 1 135 453 16 100<br />
Eastern Cape 2 5 10 108 7 168 30 922 655 46 247<br />
Northern Cape . 4 2 142 3 46 7 216 200 6 35<br />
Free State 1 3 4 229 4 25 5 409 339 3 101<br />
KwaZulu-Natal . 34 15 868 10 356 125 1 255 472 66 364<br />
North West . 7 5 441 6 231 19 740 277 10 53<br />
Gauteng 3 38 17 199 85 2 375 430 1 182 665 26 123<br />
Mpumalanga . 7 4 345 2 15 18 493 164 2 109<br />
Limpopo 3 11 6 563 11 3 13 744 428 20 163<br />
Total 10 114 77 453 138 3 558 722 7 096 3 653 195 1 295<br />
Urban 9 82 52 650 123 3 142 698 4 285 1 512 95 505<br />
Non-urban<br />
Total 10 114 77 453 138 3 558 722 7 096 3 653 195 1 295<br />
Households were enumerated through interviews, and responses were recorded on the <strong>PES</strong><br />
questionnaire. The quality assurance approach used during publicity and listing was also used during<br />
<strong>enumeration</strong>, i.e. the identification of areas in methodology that proved challenging for staff to implement<br />
correctly, e.g. variables in the questionnaire which Fieldworkers found difficult to populate correctly. The<br />
supervisory layers were expected to check each Fieldworker's questionnaires on a daily basis to ensure<br />
that all questionnaires were completed correctly and according to prescribed methodology. Once these<br />
areas of improvement were identified by the Fieldwork Supervisor, Quality Assurance Monitor, District<br />
<strong>Survey</strong> Coordinator and Head Office Monitors, Fieldworkers were re-trained to ensure that they were<br />
able to implement the methodology correctly. Quality checks on questionnaires were conducted<br />
throughout the <strong>enumeration</strong> phase.<br />
The highest number of refusals was observed in Gauteng, representing 57% of all refusals in the<br />
country. Unoccupied dwellings were mostly observed in formal residential areas and traditional<br />
residential areas. Unoccupied dwellings were high in formal residential areas in Western Cape, Gauteng<br />
and KwaZulu-Natal, as well as traditional residential areas in Eastern Cape, KwaZulu-Natal and<br />
Limpopo. The possible reasons for the extremely high cases of non-response include the following:<br />
• Knock-on effects of delayed field activities due to extension of census non-response follow-up;<br />
• Problems relating to logistics;<br />
• Timing of <strong>PES</strong> fieldwork operations (holiday season);<br />
• High-walled areas/gated communities (especially in Gauteng);<br />
• No media coverage for <strong>PES</strong>;<br />
• Concerns regarding safety;<br />
• Farms (in Eastern Cape) that are no longer occupied;<br />
<strong>Post</strong> Enumeration <strong>Survey</strong> (<strong>PES</strong>)