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    Home / Central Data Catalog / DATAFIRST / ZAF_2011_PHC_V01_M / variable [V11]
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Census 2011

South Africa, 2011
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Reference ID
ZAF_2011_PHC_v01_M
Producer(s)
Statistics South Africa
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
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Created on
Sep 18, 2014
Last modified
Sep 18, 2014
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  • Study Description
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  • mortality_10pct_sample_v1_F1
  • household_10pct_sample_v1_F1

Municipality (M_MUNIC)

Data file: mortality_10pct_sample_v1_F1

Overview

Valid: 40303
Invalid: 0
Type: Discrete
Decimal: 0
Start: 29
End: 31
Width: 3
Range: 160 - 987
Format: Numeric

Questions and instructions

Categories
Value Category Cases
160 Matzikama 38
0.1%
161 Cederberg 17
0%
162 Bergrivier 28
0.1%
163 Saldanha Bay 47
0.1%
164 Swartland 51
0.1%
165 Witzenberg 48
0.1%
166 Drakenstein 110
0.3%
167 Stellenbosch 65
0.2%
168 Breede Valley 78
0.2%
169 Langeberg 45
0.1%
170 Swellendam 16
0%
171 Theewaterskloof 38
0.1%
172 Overstrand 42
0.1%
173 Cape Agulhas 16
0%
174 Kannaland 16
0%
175 Hessequa 29
0.1%
176 Mossel Bay 41
0.1%
177 George 93
0.2%
178 Oudtshoorn 59
0.1%
179 Bitou 28
0.1%
180 Knysna 30
0.1%
181 Laingsburg 8
0%
182 Prince Albert 8
0%
183 Beaufort West 37
0.1%
199 City of Cape Town 1793
4.4%
260 Buffalo City 653
1.6%
261 Camdeboo 39
0.1%
262 Blue Crane Route 33
0.1%
263 Ikwezi 11
0%
264 Makana 72
0.2%
265 Ndlambe 60
0.1%
266 Sundays River Valley 42
0.1%
267 Baviaans 17
0%
268 Kouga 65
0.2%
269 Kou-Kamma 26
0.1%
270 Mbhashe 308
0.8%
271 Mnquma 350
0.9%
272 Great Kei 41
0.1%
273 Amahlathi 176
0.4%
274 Ngqushwa 97
0.2%
276 Nkonkobe 170
0.4%
277 Nxuba 35
0.1%
278 Inxuba Yethemba 72
0.2%
279 Tsolwana 46
0.1%
280 Inkwanca 28
0.1%
281 Lukanji 252
0.6%
282 Intsika Yethu 221
0.5%
283 Emalahleni-EC 183
0.5%
284 Engcobo 199
0.5%
285 Sakhisizwe 86
0.2%
286 Elundini 172
0.4%
287 Senqu 181
0.4%
288 Maletswai 41
0.1%
289 Gariep 46
0.1%
290 Ngquza Hill 308
0.8%
291 Port St Johns 140
0.3%
292 Nyandeni 270
0.7%
293 Mhlontlo 215
0.5%
294 King Sabata Dalindyebo 411
1%
295 Matatiele 285
0.7%
296 Umzimvubu 241
0.6%
297 Mbizana 381
0.9%
298 Ntabankulu 153
0.4%
299 Nelson Mandela Bay 906
2.2%
360 Joe Morolong 115
0.3%
361 Ga-Segonyane 91
0.2%
362 Gamagara 22
0.1%
363 Richtersveld 9
0%
364 Nama Khoi 36
0.1%
365 Kamiesberg 9
0%
366 Hantam 15
0%
367 Karoo Hoogland 8
0%
368 Khâi-Ma 10
0%
369 Ubuntu 17
0%
370 Umsobomvu 31
0.1%
371 Emthanjeni 47
0.1%
372 Kareeberg 12
0%
373 Renosterberg 7
0%
374 Thembelihle 18
0%
375 Siyathemba 24
0.1%
376 Siyancuma 38
0.1%
377 Mier 5
0%
378 Kai !Garib 49
0.1%
379 //Khara Hais 76
0.2%
380 !Kheis 16
0%
381 Tsantsabane 30
0.1%
382 Kgatelopele 15
0%
383 Sol Plaatjie 197
0.5%
384 Dikgatlong 40
0.1%
385 Magareng 28
0.1%
386 Phokwane 77
0.2%
460 Letsemeng 40
0.1%
461 Kopanong 58
0.1%
462 Mohokare 42
0.1%
463 Naledi-FS 32
0.1%
464 Masilonyana 77
0.2%
465 Tokologo 29
0.1%
466 Tswelopele 60
0.1%
467 Matjhabeng 435
1.1%
468 Nala 123
0.3%
469 Setsoto 156
0.4%
470 Dihlabeng 131
0.3%
471 Nketoana 83
0.2%
472 Maluti a Phofung 489
1.2%
473 Phumelela 67
0.2%
474 Mantsopa 62
0.2%
475 Moqhaka 178
0.4%
477 Ngwathe 138
0.3%
478 Metsimaholo 111
0.3%
479 Mafube 55
0.1%
499 Mangaung 751
1.9%
503 Umzumbe 201
0.5%
504 Umuziwabantu 118
0.3%
505 Ezingoleni 66
0.2%
506 Hibiscus Coast 233
0.6%
514 Emnambithi/Ladysmith 256
0.6%
524 Newcastle 404
1%
525 Emadlangeni 36
0.1%
526 Dannhauser 143
0.4%
529 Abaqulusi 252
0.6%
538 uMhlathuze 236
0.6%
542 Nkandla 128
0.3%
546 Maphumulo 107
0.3%
560 Vulamehlo 86
0.2%
561 Umdoni 62
0.2%
562 uMshwathi 124
0.3%
563 uMngeni 79
0.2%
564 Mpofana 32
0.1%
565 Impendle 47
0.1%
566 The Msunduzi 507
1.3%
567 Mkhambathini 75
0.2%
568 Richmond 68
0.2%
569 Indaka 131
0.3%
570 Umtshezi 67
0.2%
571 Okhahlamba 167
0.4%
573 Imbabazane 136
0.3%
574 Endumeni 53
0.1%
575 Nqutu 223
0.6%
576 Msinga 159
0.4%
577 Umvoti 95
0.2%
578 eDumbe 99
0.2%
579 Uphongolo 158
0.4%
580 Nongoma 215
0.5%
581 Ulundi 200
0.5%
582 Umhlabuyalingana 84
0.2%
583 Jozini 112
0.3%
584 The Big 5 False Bay 21
0.1%
585 Hlabisa 76
0.2%
586 Mtubatuba 163
0.4%
587 Mfolozi 102
0.3%
588 Ntambanana 85
0.2%
589 uMlalazi 229
0.6%
590 Mthonjaneni 61
0.2%
591 Mandeni 116
0.3%
592 KwaDukuza 175
0.4%
593 Ndwedwe 149
0.4%
594 Ingwe 119
0.3%
595 Kwa Sani 16
0%
596 Greater Kokstad 35
0.1%
597 Ubuhlebezwe 118
0.3%
598 Umzimkhulu 228
0.6%
599 eThekwini 2505
6.2%
660 Moretele 197
0.5%
661 Madibeng 321
0.8%
662 Rustenburg 333
0.8%
663 Kgetlengrivier 43
0.1%
664 Moses Kotane 252
0.6%
665 Ratlou 159
0.4%
666 Tswaing 143
0.4%
667 Mafikeng 249
0.6%
668 Ditsobotla 172
0.4%
669 Ramotshere Moiloa 141
0.3%
670 Naledi-NW 55
0.1%
671 Mamusa 65
0.2%
672 Greater Taung 239
0.6%
673 Lekwa-Teemane 62
0.2%
674 Kagisano/Molopo 111
0.3%
675 Ventersdorp 54
0.1%
676 Tlokwe City Council 118
0.3%
677 City of Matlosana 350
0.9%
678 Maquassi Hills 83
0.2%
760 Emfuleni 588
1.5%
761 Midvaal 56
0.1%
762 Lesedi 81
0.2%
763 Mogale City 210
0.5%
764 Randfontein 101
0.3%
765 Westonaria 63
0.2%
766 Merafong City 150
0.4%
797 Ekurhuleni 1905
4.7%
798 City of Johannesburg 2282
5.7%
799 City of Tshwane 1411
3.5%
860 Albert Luthuli 237
0.6%
861 Msukaligwa 141
0.3%
862 Mkhondo 149
0.4%
863 Pixley Ka Seme 114
0.3%
864 Lekwa 97
0.2%
865 Dipaleseng 37
0.1%
866 Govan Mbeki 218
0.5%
867 Victor Khanye 63
0.2%
868 Emalahleni-MP 249
0.6%
869 Steve Tshwete 134
0.3%
870 Emakhazeni 41
0.1%
871 Thembisile 308
0.8%
872 Dr JS Moroka 245
0.6%
873 Thaba Chweu 50
0.1%
874 Mbombela 437
1.1%
875 Umjindi 44
0.1%
876 Nkomazi 302
0.7%
877 Bushbuckridge 417
1%
960 Greater Giyani 156
0.4%
961 Greater Letaba 180
0.4%
962 Greater Tzaneen 262
0.7%
963 Ba-Phalaborwa 87
0.2%
964 Maruleng 63
0.2%
965 Mutale 44
0.1%
966 Thulamela 325
0.8%
967 Musina 20
0%
968 Makhado 340
0.8%
969 Blouberg 139
0.3%
970 Aganang 146
0.4%
973 Molemole 92
0.2%
974 Polokwane 402
1%
976 Lepele-Nkumpi 176
0.4%
977 Thabazimbi 31
0.1%
978 Lephalale 74
0.2%
979 Mookgopong 18
0%
980 Modimolle 40
0.1%
981 Bela-Bela 36
0.1%
982 Mogalakwena 271
0.7%
983 Ephraim Mogale 102
0.3%
984 Elias Motsoaledi 224
0.6%
985 Makhuduthamaga 194
0.5%
986 Fetakgomo 61
0.2%
987 Greater Tubatse 214
0.5%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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