Community Survey 2016
South Africa, 2016
Get Microdata
Reference ID
ZAF_2016_CS_v01_M
Producer(s)
Statistics South Africa
Collection(s)
Metadata
Created on
Aug 14, 2017
Last modified
Aug 15, 2017
Page views
39106
Downloads
9576
- Data files
- cs-2016-household
- cs-2016-mortality
- cs-2016-person
Local municipality 2016 (MN_CODE_2016)
Data file: cs-2016-person
Overview
Valid:
3328867
Invalid:
0
Minimum:
1011
Maximum:
9032
Type:
Discrete
Decimal:
0
Start:
209
End:
212
Width:
4
Range:
1011 - 9032
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1011 | CPT : City of Cape Town | 170085 |
5.1%
|
| 1012 | WC011 : Matzikama | 3694 |
0.1%
|
| 1013 | WC012 : Cederberg | 2350 |
0.1%
|
| 1014 | WC013 : Bergrivier | 3472 |
0.1%
|
| 1015 | WC014 : Saldanha Bay | 6594 |
0.2%
|
| 1016 | WC015 : Swartland | 6556 |
0.2%
|
| 1017 | WC022 : Witzenberg | 5818 |
0.2%
|
| 1018 | WC023 : Drakenstein | 10645 |
0.3%
|
| 1019 | WC024 : Stellenbosch | 4366 |
0.1%
|
| 1020 | WC025 : Breede Valley | 7334 |
0.2%
|
| 1021 | WC026 : Langeberg | 6232 |
0.2%
|
| 1022 | WC031 : Theewaterskloof | 6058 |
0.2%
|
| 1023 | WC032 : Overstrand | 5291 |
0.2%
|
| 1024 | WC033 : Cape Agulhas | 1758 |
0.1%
|
| 1025 | WC034 : Swellendam | 1685 |
0.1%
|
| 1026 | WC041 : Kannaland | 1075 |
0%
|
| 1027 | WC042 : Hessequa | 2873 |
0.1%
|
| 1028 | WC043 : Mossel Bay | 4944 |
0.1%
|
| 1029 | WC044 : George | 12389 |
0.4%
|
| 1030 | WC045 : Oudtshoorn | 5440 |
0.2%
|
| 1031 | WC047 : Bitou | 3124 |
0.1%
|
| 1032 | WC048 : Knysna | 3752 |
0.1%
|
| 1033 | WC051 : Laingsburg | 630 |
0%
|
| 1034 | WC052 : Prince Albert | 529 |
0%
|
| 1035 | WC053 : Beaufort West | 3680 |
0.1%
|
| 2011 | BUF : Buffalo City | 55245 |
1.7%
|
| 2012 | EC101 : Dr Beyers Naude | 4141 |
0.1%
|
| 2013 | EC102 : Blue Crane Route | 1836 |
0.1%
|
| 2015 | EC104 : Makana | 5097 |
0.2%
|
| 2016 | EC105 : Ndlambe | 3551 |
0.1%
|
| 2017 | EC106 : Sundays River Valley | 2657 |
0.1%
|
| 2019 | EC108 : Kouga | 4833 |
0.1%
|
| 2020 | EC109 : Kou-Kamma | 1970 |
0.1%
|
| 2021 | EC121 : Mbhashe | 23270 |
0.7%
|
| 2022 | EC122 : Mnquma | 16634 |
0.5%
|
| 2023 | EC123 : Great Kei | 2205 |
0.1%
|
| 2024 | EC124 : Amahlathi | 8528 |
0.3%
|
| 2025 | EC126 : Ngqushwa | 5822 |
0.2%
|
| 2026 | EC131 : Inxuba Yethemba | 4675 |
0.1%
|
| 2027 | EC135 : Intsika Yethu | 11204 |
0.3%
|
| 2028 | EC137 : Engcobo | 10041 |
0.3%
|
| 2029 | EC138 : Sakhisizwe | 4186 |
0.1%
|
| 2030 | EC141 : Elundini | 9624 |
0.3%
|
| 2031 | EC142 : Senqu | 8472 |
0.3%
|
| 2032 | EC153 : Ngquza Hill | 22970 |
0.7%
|
| 2033 | EC154 : Port St Johns | 12467 |
0.4%
|
| 2034 | EC155 : Nyandeni | 20020 |
0.6%
|
| 2035 | EC156 : Mhlontlo | 15135 |
0.5%
|
| 2036 | EC157 : King Sabata Dalindyebo | 31480 |
0.9%
|
| 2037 | EC441 : Matatiele | 15700 |
0.5%
|
| 2038 | EC442 : Umzimvubu | 15409 |
0.5%
|
| 2039 | EC443 : Mbizana | 26199 |
0.8%
|
| 2040 | EC444 : Ntabankulu | 9612 |
0.3%
|
| 2041 | NMA : Nelson Mandela Bay | 63714 |
1.9%
|
| 2042 | EC145 : Walter Sisulu | 5710 |
0.2%
|
| 2043 | EC139 : Enoch Mgijima | 20135 |
0.6%
|
| 2044 | EC129 : Raymond Mhlaba | 10561 |
0.3%
|
| 2045 | EC136 : Emalahleni | 10290 |
0.3%
|
| 3011 | NC061 : Richtersveld | 780 |
0%
|
| 3012 | NC062 : Nama Khoi | 3141 |
0.1%
|
| 3013 | NC064 : Kamiesberg | 532 |
0%
|
| 3014 | NC065 : Hantam | 1520 |
0%
|
| 3015 | NC066 : Karoo Hoogland | 808 |
0%
|
| 3016 | NC067 : Kh+ói-Ma | 691 |
0%
|
| 3017 | NC071 : Ubuntu | 1262 |
0%
|
| 3018 | NC072 : Umsobomvu | 1756 |
0.1%
|
| 3019 | NC073 : Emthanjeni | 3414 |
0.1%
|
| 3020 | NC074 : Kareeberg | 624 |
0%
|
| 3021 | NC075 : Renosterberg | 802 |
0%
|
| 3022 | NC076 : Thembelihle | 852 |
0%
|
| 3023 | NC077 : Siyathemba | 1407 |
0%
|
| 3024 | NC078 : Siyancuma | 2943 |
0.1%
|
| 3025 | NC082 : Kai !Garib | 3564 |
0.1%
|
| 3026 | NC084 : !Kheis | 1231 |
0%
|
| 3027 | NC085 : Tsantsabane | 2542 |
0.1%
|
| 3028 | NC086 : Kgatelopele | 1319 |
0%
|
| 3029 | NC091 : Sol Plaatjie | 15732 |
0.5%
|
| 3030 | NC092 : Dikgatlong | 3303 |
0.1%
|
| 3031 | NC093 : Magareng | 1528 |
0%
|
| 3032 | NC094 : Phokwane | 5009 |
0.2%
|
| 3033 | NC451 : Joe Morolong | 9722 |
0.3%
|
| 3034 | NC452 : Ga-Segonyana | 8339 |
0.3%
|
| 3035 | NC453 : Gamagara | 2338 |
0.1%
|
| 3036 | NC087 : Dawid Kruiper | 7188 |
0.2%
|
| 4011 | FS161 : Letsemeng | 2924 |
0.1%
|
| 4012 | FS162 : Kopanong | 3468 |
0.1%
|
| 4013 | FS163 : Mohokare | 2600 |
0.1%
|
| 4014 | FS181 : Masilonyana | 4213 |
0.1%
|
| 4015 | FS182 : Tokologo | 1940 |
0.1%
|
| 4016 | FS183 : Tswelopele | 3958 |
0.1%
|
| 4017 | FS184 : Matjhabeng | 28391 |
0.9%
|
| 4018 | FS185 : Nala | 6169 |
0.2%
|
| 4019 | FS191 : Setsoto | 8107 |
0.2%
|
| 4020 | FS192 : Dihlabeng | 9378 |
0.3%
|
| 4021 | FS193 : Nketoana | 3707 |
0.1%
|
| 4022 | FS194 : Maluti a Phofung | 27583 |
0.8%
|
| 4023 | FS195 : Phumelela | 4055 |
0.1%
|
| 4024 | FS196 : Mantsopa | 3605 |
0.1%
|
| 4025 | FS204 : Metsimaholo | 10399 |
0.3%
|
| 4026 | FS205 : Mafube | 4202 |
0.1%
|
| 4027 | MAN : Mangaung | 50584 |
1.5%
|
| 4028 | FS201 : Moqhaka | 11121 |
0.3%
|
| 4029 | FS203 : Ngwathe | 9209 |
0.3%
|
| 5011 | KZN212 : Umdoni | 8448 |
0.3%
|
| 5012 | KZN213 : Umzumbe | 10501 |
0.3%
|
| 5013 | KZN214 : uMuziwabantu | 6133 |
0.2%
|
| 5014 | KZN216 : Ray Nkonyeni | 19852 |
0.6%
|
| 5015 | KZN221 : uMshwathi | 6275 |
0.2%
|
| 5016 | KZN222 : uMngeni | 5420 |
0.2%
|
| 5017 | KZN224 : Impendle | 2430 |
0.1%
|
| 5018 | KZN225 : The Msunduzi | 41222 |
1.2%
|
| 5019 | KZN226 : Mkhambathini | 3175 |
0.1%
|
| 5020 | KZN227 : Richmond | 3967 |
0.1%
|
| 5021 | KZN235 : Okhahlamba | 9650 |
0.3%
|
| 5022 | KZN237 : Inkosi Langalibalele | 14822 |
0.4%
|
| 5023 | KZN238 : Alfred Duma | 26517 |
0.8%
|
| 5024 | KZN241 : Endumeni | 4931 |
0.1%
|
| 5025 | KZN242 : Nqutu | 13183 |
0.4%
|
| 5026 | KZN244 : Msinga | 10479 |
0.3%
|
| 5027 | KZN252 : Newcastle | 27693 |
0.8%
|
| 5028 | KZN253 : Emadlangeni | 1939 |
0.1%
|
| 5029 | KZN254 : Dannhauser | 8380 |
0.3%
|
| 5030 | KZN261 : eDumbe | 5407 |
0.2%
|
| 5031 | KZN262 : uPhongolo | 8121 |
0.2%
|
| 5032 | KZN263 : Abaqulusi | 12455 |
0.4%
|
| 5033 | KZN265 : Nongoma | 16862 |
0.5%
|
| 5034 | KZN266 : Ulundi | 13752 |
0.4%
|
| 5035 | KZN271 : Umhlabuyalingana | 12010 |
0.4%
|
| 5036 | KZN272 : Jozini | 13891 |
0.4%
|
| 5037 | KZN275 : Mtubatuba | 11466 |
0.3%
|
| 5038 | KZN276 : Big Five Hlabisa | 7352 |
0.2%
|
| 5039 | KZN281 : Mfolozi | 7325 |
0.2%
|
| 5040 | KZN282 : uMhlathuze | 23356 |
0.7%
|
| 5041 | KZN284 : uMlalazi | 14314 |
0.4%
|
| 5042 | KZN285 : Mthonjaneni | 4612 |
0.1%
|
| 5043 | KZN286 : Nkandla | 7553 |
0.2%
|
| 5044 | KZN291 : Mandeni | 11452 |
0.3%
|
| 5045 | KZN292 : KwaDukuza | 15269 |
0.5%
|
| 5046 | KZN293 : Ndwedwe | 9468 |
0.3%
|
| 5047 | KZN294 : Maphumulo | 6445 |
0.2%
|
| 5048 | KZN433 : Greater Kokstad | 4228 |
0.1%
|
| 5049 | KZN434 : Ubuhlebezwe | 7801 |
0.2%
|
| 5050 | KZN435 : Umzimkhulu | 12905 |
0.4%
|
| 5051 | KZN436 : Dr Nkosazana Dlamini Zuma | 7681 |
0.2%
|
| 5052 | KZN245 : Umvoti | 6680 |
0.2%
|
| 5053 | KZN223 : Mpofana | 1722 |
0.1%
|
| 5054 | ETH : eThekwini | 192654 |
5.8%
|
| 6011 | NW371 : Moretele | 14273 |
0.4%
|
| 6012 | NW372 : Local Municipality of Madibeng | 29870 |
0.9%
|
| 6013 | NW373 : Rustenburg | 39677 |
1.2%
|
| 6014 | NW374 : Kgetlengrivier | 2919 |
0.1%
|
| 6015 | NW375 : Moses Kotane | 17869 |
0.5%
|
| 6016 | NW381 : Ratlou | 8282 |
0.2%
|
| 6017 | NW383 : Mafikeng | 24584 |
0.7%
|
| 6018 | NW384 : Ditsobotla | 10578 |
0.3%
|
| 6019 | NW385 : Ramotshere Moiloa | 10142 |
0.3%
|
| 6020 | NW392 : Naledi | 5023 |
0.2%
|
| 6021 | NW393 : Mamusa | 5174 |
0.2%
|
| 6022 | NW394 : Greater Taung | 14632 |
0.4%
|
| 6023 | NW396 : Lekwa-Teemane | 4288 |
0.1%
|
| 6024 | NW397 : Kagisano/Molopo | 8196 |
0.2%
|
| 6025 | NW403 : City of Matlosana | 26585 |
0.8%
|
| 6026 | NW404 : Maquassi Hills | 5020 |
0.2%
|
| 6027 | NW405 : Ventersdorp/Tlokwe | 13575 |
0.4%
|
| 6028 | NW382 : Tswaing | 7259 |
0.2%
|
| 7011 | EKU : Ekurhuleni | 215982 |
6.5%
|
| 7012 | GT481 : Mogale City | 21916 |
0.7%
|
| 7013 | GT484 : Merafong City | 12860 |
0.4%
|
| 7014 | GT485 : Rand West City | 16512 |
0.5%
|
| 7015 | JHB : City of Johannesburg | 224976 |
6.8%
|
| 7016 | GT422 : Midvaal | 5758 |
0.2%
|
| 7017 | TSH : City of Tshwane | 167802 |
5%
|
| 7018 | GT421 : Emfuleni | 52852 |
1.6%
|
| 7019 | GT423 : Lesedi | 6739 |
0.2%
|
| 8011 | MP301 : Chief Albert Luthuli | 14920 |
0.4%
|
| 8012 | MP302 : Msukaligwa | 9442 |
0.3%
|
| 8013 | MP303 : Mkhondo | 9563 |
0.3%
|
| 8014 | MP304 : Dr Pixley Ka Isaka Seme | 5689 |
0.2%
|
| 8015 | MP305 : Lekwa | 7743 |
0.2%
|
| 8016 | MP306 : Dipaleseng | 3670 |
0.1%
|
| 8017 | MP307 : Govan Mbeki | 17037 |
0.5%
|
| 8018 | MP311 : Victor Khanye | 4970 |
0.1%
|
| 8019 | MP312 : Emalahleni | 19651 |
0.6%
|
| 8020 | MP313 : Steve Tshwete | 12639 |
0.4%
|
| 8021 | MP314 : Emakhazeni | 3029 |
0.1%
|
| 8022 | MP315 : Thembisile | 25745 |
0.8%
|
| 8023 | MP316 : Dr JS Moroka | 18802 |
0.6%
|
| 8024 | MP321 : Thaba Chweu | 6214 |
0.2%
|
| 8025 | MP325 : Bushbuckridge | 40473 |
1.2%
|
| 8026 | MP324 : Nkomazi | 28939 |
0.9%
|
| 8027 | MP326 : City of Mbombela | 41969 |
1.3%
|
| 9011 | LIM331 : Greater Giyani | 18994 |
0.6%
|
| 9012 | LIM332 : Greater Letaba | 14433 |
0.4%
|
| 9013 | LIM333 : Greater Tzaneen | 28116 |
0.8%
|
| 9014 | LIM334 : Ba-Phalaborwa | 11700 |
0.4%
|
| 9015 | LIM335 : Maruleng | 7323 |
0.2%
|
| 9016 | LIM355 : Lepele-Nkumpi | 17438 |
0.5%
|
| 9017 | LIM361 : Thabazimbi | 5257 |
0.2%
|
| 9018 | LIM362 : Lephalale | 7678 |
0.2%
|
| 9019 | LIM366 : Bela-Bela | 4303 |
0.1%
|
| 9020 | LIM367 : Mogalakwena | 23662 |
0.7%
|
| 9021 | LIM471 : Ephraim Mogale | 9340 |
0.3%
|
| 9022 | LIM472 : Elias Motsoaledi | 20373 |
0.6%
|
| 9023 | LIM473 : Makhuduthamaga | 21814 |
0.7%
|
| 9024 | LIM351 : Blouberg | 13236 |
0.4%
|
| 9025 | LIM353 : Molemole | 9048 |
0.3%
|
| 9026 | LIM354 : Polokwane | 50910 |
1.5%
|
| 9027 | LIM476 : Greater Tubatse/Fetakgomo | 34095 |
1%
|
| 9028 | LIM341 : Musina | 7890 |
0.2%
|
| 9029 | LIM343 : Thulamela | 36933 |
1.1%
|
| 9030 | LIM344 : Makhado | 29755 |
0.9%
|
| 9031 | LIM345 : New | 25267 |
0.8%
|
| 9032 | LIM368 : Modimolle/Mookgophong | 5939 |
0.2%
|
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.