Domestic Tourism Survey 2017
South Africa, 2017
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
17134
Downloads
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Place name (Q51PLC91)
Data file: zaf-statssa-dts-2017-night
Overview
Valid:
213866
Invalid:
0
Type:
Discrete
Start:
816
End:
833
Width:
18
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ALLDAYS | 6 |
0%
|
|
| ALMA | 21 |
0%
|
|
| APEL | 6 |
0%
|
|
| ARMOEDE | 1 |
0%
|
|
| ATOK | 16 |
0%
|
|
| BAKENBERG | 13 |
0%
|
|
| BELA-BELA | 107 |
0.1%
|
|
| BLOUBERG | 6 |
0%
|
|
| BOCHUM | 68 |
0%
|
|
| BOKHUTA | 3 |
0%
|
|
| BOLOBEDU | 25 |
0%
|
|
| BOTLOKWA | 22 |
0%
|
|
| BOTSHABELO | 2 |
0%
|
|
| BUCKENBURG | 2 |
0%
|
|
| BUISDORP | 3 |
0%
|
|
| BULASINI | 3 |
0%
|
|
| BURGERSFORT | 140 |
0.1%
|
|
| BYLDRIFT | 3 |
0%
|
|
| CHLOE | 8 |
0%
|
|
| DENNILTON | 73 |
0%
|
|
| DINDELA | 6 |
0%
|
|
| DOPENI | 2 |
0%
|
|
| DRIEKOP | 19 |
0%
|
|
| DZUMERI | 5 |
0%
|
|
| EENSOME | 8 |
0%
|
|
| ELANDSDOORN | 3 |
0%
|
|
| ELANDSKRAAL | 5 |
0%
|
|
| ELIM | 20 |
0%
|
|
| FOLOVHODWE | 14 |
0%
|
|
| GA KOBE | 2 |
0%
|
|
| GA MABUELA | 2 |
0%
|
|
| GA MAJA | 14 |
0%
|
|
| GA MAKANYE | 16 |
0%
|
|
| GA MAKIBELO | 3 |
0%
|
|
| GA MAMOLEKA | 3 |
0%
|
|
| GA MELLA | 3 |
0%
|
|
| GA MOGASHOA | 3 |
0%
|
|
| GA MONYEBODI | 3 |
0%
|
|
| GA PIET | 9 |
0%
|
|
| GA RAKGWATHA | 6 |
0%
|
|
| GA RAMELA | 6 |
0%
|
|
| GA RAMMOBOLA | 3 |
0%
|
|
| GA RAMPHERI | 3 |
0%
|
|
| GA RAMPURU | 6 |
0%
|
|
| GA SEROKA | 3 |
0%
|
|
| GA-BOTHA | 15 |
0%
|
|
| GA-CHUENE | 9 |
0%
|
|
| GA-DIKGALE | 18 |
0%
|
|
| GA-KGAPANE | 13 |
0%
|
|
| GA-MAEPA | 12 |
0%
|
|
| GA-MAHOAI | 6 |
0%
|
|
| GA-MAJA | 1 |
0%
|
|
| GA-MAKGATO | 3 |
0%
|
|
| GA-MAMABOLO | 6 |
0%
|
|
| GA-MAMADILA | 1 |
0%
|
|
| GA-MAMAILA | 4 |
0%
|
|
| GA-MAMPANE | 4 |
0%
|
|
| GA-MAPHALLE | 1 |
0%
|
|
| GA-MARISHANE | 62 |
0%
|
|
| GA-MASEMOLA | 26 |
0%
|
|
| GA-MASHABELA | 23 |
0%
|
|
| GA-MASHASHANE | 39 |
0%
|
|
| GA-MATHABATHA | 35 |
0%
|
|
| GA-MATIPANE | 3 |
0%
|
|
| GA-MATLALA | 51 |
0%
|
|
| GA-MATSHWI | 21 |
0%
|
|
| GA-MODJADJI | 32 |
0%
|
|
| GA-MOLEKANA | 1 |
0%
|
|
| GA-MOLEMA | 4 |
0%
|
|
| GA-MOLEPO | 15 |
0%
|
|
| GA-MOTHAPO | 3 |
0%
|
|
| GA-MPHAHLELE | 24 |
0%
|
|
| GA-NCHABELENG | 3 |
0%
|
|
| GA-NKOANA | 4 |
0%
|
|
| GA-NTATA | 3 |
0%
|
|
| GA-PHAGO | 3 |
0%
|
|
| GA-PHASHA | 2 |
0%
|
|
| GA-RADINGWANA | 3 |
0%
|
|
| GA-RAKGOATHA | 1 |
0%
|
|
| GA-RAMOKGOPA | 21 |
0%
|
|
| GA-SEKGOPO | 6 |
0%
|
|
| GA-SEKHUKHUNE | 22 |
0%
|
|
| GA-SEKORORO | 10 |
0%
|
|
| GA-SELEKA | 6 |
0%
|
|
| GA-SELWANA | 2 |
0%
|
|
| GA-SEMENYA | 3 |
0%
|
|
| GIYANI | 148 |
0.1%
|
|
| GONDENI | 3 |
0%
|
|
| GROBLERSDAL | 30 |
0%
|
|
| HA MAKUSHU | 2 |
0%
|
|
| HA MUILA | 3 |
0%
|
|
| HA MUKUNUNDE | 6 |
0%
|
|
| HA RAMAHANTSHA | 3 |
0%
|
|
| HA-LAMBANI | 3 |
0%
|
|
| HA-MAGORO | 2 |
0%
|
|
| HA-MAILA | 3 |
0%
|
|
| HA-MAKHITHA | 3 |
0%
|
|
| HA-MAKUYA | 6 |
0%
|
|
| HA-MASIA | 18 |
0%
|
|
| HA-MUDIMELI | 18 |
0%
|
|
| HA-MUTSHA | 1 |
0%
|
|
| HA-RABALI | 1 |
0%
|
|
| HA-RATHIDILI | 1 |
0%
|
|
| HA-VHANGANI | 15 |
0%
|
|
| HOEDSPRUIT | 6 |
0%
|
|
| INDERMAK | 3 |
0%
|
|
| ITERELENG | 6 |
0%
|
|
| JANE FURSE | 154 |
0.1%
|
|
| JOKONG | 1 |
0%
|
|
| KA XIHOKO | 6 |
0%
|
|
| KA-BUNGENI | 11 |
0%
|
|
| KA-HOMU | 9 |
0%
|
|
| KA-MAJOSI | 5 |
0%
|
|
| KA-MAKOXA | 3 |
0%
|
|
| KA-MHINGA | 7 |
0%
|
|
| KA-MOHLABA | 11 |
0%
|
|
| KA-NWAMATATANI | 5 |
0%
|
|
| KA-NWAMITWA | 15 |
0%
|
|
| KAALFONTEIN | 3 |
0%
|
|
| KADITSHWENE | 1 |
0%
|
|
| KALKFONTEIN | 3 |
0%
|
|
| KALKSPRUIT | 1 |
0%
|
|
| KGAMODJATJI | 9 |
0%
|
|
| KGAUTSWANE | 5 |
0%
|
|
| KGOBOKWANE | 6 |
0%
|
|
| KHUBE | 3 |
0%
|
|
| KHUDVI | 3 |
0%
|
|
| KHWEKHWE | 1 |
0%
|
|
| KOPERMYN | 2 |
0%
|
|
| KRUGER NATIONAL PA | 4 |
0%
|
|
| KUTAMA | 3 |
0%
|
|
| LEBOENG | 7 |
0%
|
|
| LEBOWAKGOMO | 47 |
0%
|
|
| LEGOLANENG | 3 |
0%
|
|
| LEMONDOKOP | 3 |
0%
|
|
| LENYENYE | 27 |
0%
|
|
| LEPHALALE | 96 |
0%
|
|
| LONGDEN | 3 |
0%
|
|
| LOUIS TRICHARDT | 35 |
0%
|
|
| LUDLOW | 9 |
0%
|
|
| LUISTRICHADS | 3 |
0%
|
|
| LULEKANI | 14 |
0%
|
|
| LWAMONDO | 10 |
0%
|
|
| MAANGANI | 1 |
0%
|
|
| MADIFAHLANE | 2 |
0%
|
|
| MADIMBO | 6 |
0%
|
|
| MADOMBIDZHA | 9 |
0%
|
|
| MAFEFE | 4 |
0%
|
|
| MAGAKALA | 2 |
0%
|
|
| MAGOEBASKLOOF | 15 |
0%
|
|
| MAGONA | 3 |
0%
|
|
| MAGORO | 6 |
0%
|
|
| MAHUNGUWI | 6 |
0%
|
|
| MAHWELERENG | 18 |
0%
|
|
| MAKANGENI | 3 |
0%
|
|
| MAKHADO | 42 |
0%
|
|
| MAKONDE | 2 |
0%
|
|
| MAKOTOPONG | 1 |
0%
|
|
| MAKUYA | 3 |
0%
|
|
| MAKWARANI | 6 |
0%
|
|
| MAKWARELA | 3 |
0%
|
|
| MAKWENA | 1 |
0%
|
|
| MALAMULELE | 60 |
0%
|
|
| MAMONE | 2 |
0%
|
|
| MAMPHAGI | 3 |
0%
|
|
| MANINI | 6 |
0%
|
|
| MANKWENG | 15 |
0%
|
|
| MAPELA | 9 |
0%
|
|
| MARAMANZHI | 1 |
0%
|
|
| MARAPONG | 3 |
0%
|
|
| MARAPYANE | 2 |
0%
|
|
| MARBLE HALL | 25 |
0%
|
|
| MAROPENG | 3 |
0%
|
|
| MASAKONA | 1 |
0%
|
|
| MASEHLONG | 3 |
0%
|
|
| MASHAMBA | 4 |
0%
|
|
| MASHISHINI | 3 |
0%
|
|
| MATAVHELA | 1 |
0%
|
|
| MATIPANE | 6 |
0%
|
|
| MATOKS | 3 |
0%
|
|
| MAUNGANI | 1 |
0%
|
|
| MAVALANI | 3 |
0%
|
|
| MAVUNDE | 6 |
0%
|
|
| MAWA | 3 |
0%
|
|
| MBOKOTA | 12 |
0%
|
|
| MEHLARENG | 3 |
0%
|
|
| METZ | 6 |
0%
|
|
| MININGINISI | 6 |
0%
|
|
| MMAKGAYILE | 12 |
0%
|
|
| MMALEBITSA | 3 |
0%
|
|
| MMATSEKE | 3 |
0%
|
|
| MODIMOLLE | 44 |
0%
|
|
| MODJADJI | 3 |
0%
|
|
| MOGAPENG | 3 |
0%
|
|
| MOGODI | 38 |
0%
|
|
| MOGOTO | 3 |
0%
|
|
| MOHLAKENG | 3 |
0%
|
|
| MOHLALETSI | 10 |
0%
|
|
| MOKGOLOBOTHO | 6 |
0%
|
|
| MOKOPANE | 85 |
0%
|
|
| MOLETJIE | 87 |
0%
|
|
| MOLETLANE | 18 |
0%
|
|
| MONSTERLUS | 28 |
0%
|
|
| MONYWANENG | 3 |
0%
|
|
| MOOILEK | 6 |
0%
|
|
| MOOKETSI | 12 |
0%
|
|
| MOOKGOPHONG | 47 |
0%
|
|
| MOPANE | 3 |
0%
|
|
| MORIA | 347 |
0.2%
|
|
| MORUJI | 7 |
0%
|
|
| MOSTERLUS | 2 |
0%
|
|
| MOTETEMA | 8 |
0%
|
|
| MOTETI | 3 |
0%
|
|
| MPHAHLELE | 15 |
0%
|
|
| MPHENI | 5 |
0%
|
|
| MUDULUNI | 3 |
0%
|
|
| MUKHOMI | 7 |
0%
|
|
| MURUNWA | 6 |
0%
|
|
| MUSEKWA | 2 |
0%
|
|
| MUSINA | 12 |
0%
|
|
| MUSWADI | 1 |
0%
|
|
| MUSWODI | 9 |
0%
|
|
| MUTALE | 1 |
0%
|
|
| MUWAWENI | 3 |
0%
|
|
| MY DARLING | 6 |
0%
|
|
| NAMAKGALE | 13 |
0%
|
|
| NDZHELELE | 26 |
0%
|
|
| NGOVHELA | 6 |
0%
|
|
| NJELELE | 38 |
0%
|
|
| NKAMBAKO | 3 |
0%
|
|
| NKOWANKOWA | 4 |
0%
|
|
| NOBODY | 6 |
0%
|
|
| NORTHAM | 9 |
0%
|
|
| NTHLAVENI | 2 |
0%
|
|
| NYAKELANG | 3 |
0%
|
|
| OLIFANTSHOEK | 1 |
0%
|
|
| PAPEGAAI | 3 |
0%
|
|
| PHALABORWA | 70 |
0%
|
|
| PHAPHAZELA | 3 |
0%
|
|
| PHOMOLONG | 1 |
0%
|
|
| PODUNGWANE | 1 |
0%
|
|
| POLOKWANE | 251 |
0.1%
|
|
| PUDUNGWANE | 9 |
0%
|
|
| RABALI | 5 |
0%
|
|
| RADIUM | 3 |
0%
|
|
| RAMOTSHINYADI | 3 |
0%
|
|
| RAPHAHLELO | 2 |
0%
|
|
| ROTTERDAM | 9 |
0%
|
|
| SAAIPLAAS | 15 |
0%
|
|
| SCHOONOORD | 9 |
0%
|
|
| SEFATENG | 3 |
0%
|
|
| SEFENE | 3 |
0%
|
|
| SEHLAKWANE | 1 |
0%
|
|
| SEKGAKGAPENG | 6 |
0%
|
|
| SEKGOSESE | 12 |
0%
|
|
| SEKHUKHUNE | 34 |
0%
|
|
| SEKORORO | 16 |
0%
|
|
| SENWABARWANA | 13 |
0%
|
|
| SENWAMOKGOPE | 9 |
0%
|
|
| SEPHAKU | 4 |
0%
|
|
| SERENI | 3 |
0%
|
|
| SESHEGO | 68 |
0%
|
|
| SHAYANDIMA | 18 |
0%
|
|
| SHESHE | 3 |
0%
|
|
| SHILUVANE | 6 |
0%
|
|
| SHIVULANI | 12 |
0%
|
|
| SIBASA | 6 |
0%
|
|
| SOEKMEKAAR | 6 |
0%
|
|
| SOLOMONDALE | 11 |
0%
|
|
| SPITSPUNT | 3 |
0%
|
|
| STEELPOORT | 26 |
0%
|
|
| STEILOOP | 2 |
0%
|
|
| STRYDKRAAL | 1 |
0%
|
|
| STYLOP | 24 |
0%
|
|
| SUBIACO | 3 |
0%
|
|
| TAAIBOS | 11 |
0%
|
|
| TAFELKOP | 6 |
0%
|
|
| THABAZIMBI | 53 |
0%
|
|
| THOHOYANDOU | 100 |
0%
|
|
| THORP | 6 |
0%
|
|
| TIBANE | 3 |
0%
|
|
| TOMBURKE | 1 |
0%
|
|
| TSANTSABELA | 9 |
0%
|
|
| TSHAMAHANSI | 1 |
0%
|
|
| TSHIFUDI | 3 |
0%
|
|
| TSHIKUWI | 3 |
0%
|
|
| TSHIOZWI | 6 |
0%
|
|
| TSHIPISE | 18 |
0%
|
|
| TSHITUNI | 1 |
0%
|
|
| TSHIUNGANI | 2 |
0%
|
|
| TSHIVHILIDULU | 3 |
0%
|
|
| TSHIVHILWI | 4 |
0%
|
|
| TSHIXWADZA | 2 |
0%
|
|
| TSWINGA | 9 |
0%
|
|
| TUINPLAAS | 6 |
0%
|
|
| TURFLOOP | 19 |
0%
|
|
| TZANEEN | 181 |
0.1%
|
|
| UITKYK | 3 |
0%
|
|
| UNSPECIFIED | 209169 |
97.8%
|
|
| VAALWATER | 4 |
0%
|
|
| VALDEZIA | 1 |
0%
|
|
| VEENEN | 3 |
0%
|
|
| VENDA | 84 |
0%
|
|
| VHUFHULI | 3 |
0%
|
|
| VINGERKRAAL | 3 |
0%
|
|
| VISGAT | 3 |
0%
|
|
| VLEIFONTEIN | 3 |
0%
|
|
| VUWANI | 32 |
0%
|
|
| WARMBATHS | 12 |
0%
|
|
| WATERVAL | 9 |
0%
|
|
| WYDHOEK | 3 |
0%
|
|
| ZEBEDIELA | 97 |
0%
|
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.