Domestic Tourism Survey 2016
South Africa, 2016 - 2017
Get Microdata
Reference ID
ZAF_2016_DTS_v01_M
Producer(s)
Statistics South Africa
Collection(s)
Metadata
Created on
Jun 06, 2018
Last modified
Jun 06, 2018
Page views
43628
Downloads
2332
Place name (Q51PLC91)
Data file: zaf-statssa-dts-2016-overnighttrips-v1.1
Overview
Valid:
217189
Invalid:
0
Type:
Discrete
Start:
870
End:
887
Width:
18
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ACORNHOEK | 1 |
0%
|
|
| APEL | 6 |
0%
|
|
| ARMOEDE | 2 |
0%
|
|
| ATOK | 2 |
0%
|
|
| BAKENBERG | 7 |
0%
|
|
| BELA-BELA | 152 |
0.1%
|
|
| BELLEVUE | 3 |
0%
|
|
| BLOODRIVER | 3 |
0%
|
|
| BLOUBERG | 3 |
0%
|
|
| BOCHUM | 65 |
0%
|
|
| BOLOBEDU | 28 |
0%
|
|
| BOTLOKWA | 41 |
0%
|
|
| BOTSHABELO | 4 |
0%
|
|
| BURGERSFORT | 99 |
0%
|
|
| BUSHBUCKRIDGE | 15 |
0%
|
|
| BYLDRIFT | 3 |
0%
|
|
| CHAVANI | 3 |
0%
|
|
| CHIKOTA | 3 |
0%
|
|
| COVHI FARM | 3 |
0%
|
|
| DALMADA | 3 |
0%
|
|
| DAVHANA | 3 |
0%
|
|
| DE VREDE | 3 |
0%
|
|
| DENDRON | 3 |
0%
|
|
| DENNILTON | 20 |
0%
|
|
| DIPIRUST | 3 |
0%
|
|
| DOPENI | 4 |
0%
|
|
| DRIEKOP | 8 |
0%
|
|
| EDUAN PARK | 3 |
0%
|
|
| ELANDSKRAAL | 1 |
0%
|
|
| ELDORADO | 3 |
0%
|
|
| FATIMA | 1 |
0%
|
|
| FOLOVHODWE | 4 |
0%
|
|
| GA MAJA | 7 |
0%
|
|
| GA-CHUENE | 6 |
0%
|
|
| GA-KGAPANE | 10 |
0%
|
|
| GA-KIBI | 3 |
0%
|
|
| GA-MAAKE | 3 |
0%
|
|
| GA-MABULA | 6 |
0%
|
|
| GA-MACHABA | 3 |
0%
|
|
| GA-MAJA | 3 |
0%
|
|
| GA-MALEBOGO | 3 |
0%
|
|
| GA-MAMABOLO | 15 |
0%
|
|
| GA-MAMADILA | 2 |
0%
|
|
| GA-MAMAILA | 2 |
0%
|
|
| GA-MAMETJA | 9 |
0%
|
|
| GA-MAMPANA | 3 |
0%
|
|
| GA-MAMPANE | 11 |
0%
|
|
| GA-MAPHALLE | 6 |
0%
|
|
| GA-MARISHANE | 24 |
0%
|
|
| GA-MASEMOLA | 32 |
0%
|
|
| GA-MASHASHANE | 27 |
0%
|
|
| GA-MASHISHI | 3 |
0%
|
|
| GA-MATHABATHA | 1 |
0%
|
|
| GA-MATLALA | 98 |
0%
|
|
| GA-MMELA | 3 |
0%
|
|
| GA-MODJADJI | 23 |
0%
|
|
| GA-MOILA | 9 |
0%
|
|
| GA-MOKGOKONG | 3 |
0%
|
|
| GA-MOLEKANA | 2 |
0%
|
|
| GA-MOLEMA | 3 |
0%
|
|
| GA-MOLEPO | 35 |
0%
|
|
| GA-MOTHAPO | 21 |
0%
|
|
| GA-MOTHIBA | 21 |
0%
|
|
| GA-MPHAHLELE | 17 |
0%
|
|
| GA-NKOANA | 11 |
0%
|
|
| GA-RAKGWATHA | 3 |
0%
|
|
| GA-SEKGOPO | 2 |
0%
|
|
| GA-SEKHUKHUNE | 13 |
0%
|
|
| GA-SEKORORO | 33 |
0%
|
|
| GA-SELEKA | 21 |
0%
|
|
| GA-SEMENYA | 3 |
0%
|
|
| GA-SETATI | 3 |
0%
|
|
| GA-THOKA | 3 |
0%
|
|
| GA-WULA | 1 |
0%
|
|
| GABA | 12 |
0%
|
|
| GIYANI | 166 |
0.1%
|
|
| GLEN COWIE | 1 |
0%
|
|
| GROBLERSDAL | 59 |
0%
|
|
| Ga-Matlala | 3 |
0%
|
|
| HA-KUTAMA | 6 |
0%
|
|
| HA-MAGORO | 4 |
0%
|
|
| HA-MAILA | 5 |
0%
|
|
| HA-MAKUYA | 6 |
0%
|
|
| HA-MASHAU | 13 |
0%
|
|
| HA-MASIA | 9 |
0%
|
|
| HA-MATIDZA | 6 |
0%
|
|
| HA-MAVHUNGA | 3 |
0%
|
|
| HA-MUTSHA | 2 |
0%
|
|
| HA-RABALI | 6 |
0%
|
|
| HA-RALIPHASWA | 3 |
0%
|
|
| HABEGWA | 4 |
0%
|
|
| HAMANENZHE | 3 |
0%
|
|
| HLANGANANI | 3 |
0%
|
|
| HOEDSPRUIT | 13 |
0%
|
|
| INDERMARK | 3 |
0%
|
|
| ITIELENG | 4 |
0%
|
|
| IVY PARK | 15 |
0%
|
|
| JANE FURSE | 94 |
0%
|
|
| JIMMY JONES | 3 |
0%
|
|
| KA MALAMULELA | 6 |
0%
|
|
| KA-BUNGENI | 22 |
0%
|
|
| KA-MAJOSI | 2 |
0%
|
|
| KA-MAKHUVA | 3 |
0%
|
|
| KA-MHINGA | 6 |
0%
|
|
| KA-MZILELA | 3 |
0%
|
|
| KA-NWAMANKENA | 3 |
0%
|
|
| KA-NWAMATATANI | 1 |
0%
|
|
| KADITSHWENE | 2 |
0%
|
|
| KGOBOKWANE | 3 |
0%
|
|
| KHUJWANA | 3 |
0%
|
|
| KROMHOEK | 12 |
0%
|
|
| KRUGER NATIONAL PA | 35 |
0%
|
|
| LEBOWAKGOMO | 65 |
0%
|
|
| LEEUWFONTEIN | 6 |
0%
|
|
| LENTING | 3 |
0%
|
|
| LENYENYE | 14 |
0%
|
|
| LEOLO | 3 |
0%
|
|
| LEPHALALE | 70 |
0%
|
|
| LESEDING | 3 |
0%
|
|
| LETSITELE | 3 |
0%
|
|
| LOMONDOKOP | 3 |
0%
|
|
| LOUIS TRICHARDT | 8 |
0%
|
|
| LUCKAU | 3 |
0%
|
|
| LULEKANI | 3 |
0%
|
|
| LWAMONDO | 8 |
0%
|
|
| MADEIRA | 13 |
0%
|
|
| MADIBA PARK | 3 |
0%
|
|
| MADIBONG | 4 |
0%
|
|
| MADIMBO | 6 |
0%
|
|
| MADISHA-DITORO | 3 |
0%
|
|
| MADOMBIDZHA | 9 |
0%
|
|
| MAEBANE | 13 |
0%
|
|
| MAFEFE VILLAGE | 14 |
0%
|
|
| MAHWELERENG | 27 |
0%
|
|
| MAILASKOP | 9 |
0%
|
|
| MAKHADO | 20 |
0%
|
|
| MAKHUTSWANENG | 1 |
0%
|
|
| MAKONDE | 7 |
0%
|
|
| MAKOTOPONG | 3 |
0%
|
|
| MAKULEKE | 12 |
0%
|
|
| MAKWARELA | 11 |
0%
|
|
| MAKWENA | 2 |
0%
|
|
| MAKWENG | 3 |
0%
|
|
| MALALE | 3 |
0%
|
|
| MALAMULELE | 89 |
0%
|
|
| MALEBOGO | 2 |
0%
|
|
| MALONGA | 3 |
0%
|
|
| MAMEHLABE | 6 |
0%
|
|
| MAMONE | 3 |
0%
|
|
| MANDALA | 6 |
0%
|
|
| MANDIWANA | 1 |
0%
|
|
| MANGANENG | 3 |
0%
|
|
| MANKWENG | 10 |
0%
|
|
| MANTHATA | 3 |
0%
|
|
| MAPAKOPHELE | 2 |
0%
|
|
| MAPELA | 11 |
0%
|
|
| MAPHUNGUBWE | 3 |
0%
|
|
| MARAPONG | 3 |
0%
|
|
| MARBLE HALL | 6 |
0%
|
|
| MARKEN | 3 |
0%
|
|
| MAROBJANE | 2 |
0%
|
|
| MASAKONA | 2 |
0%
|
|
| MASEMOLA | 12 |
0%
|
|
| MASHAMBA | 5 |
0%
|
|
| MASISI | 6 |
0%
|
|
| MATAVHELA | 2 |
0%
|
|
| MATIYANI | 3 |
0%
|
|
| MATOKS | 3 |
0%
|
|
| MATSITSILENG | 18 |
0%
|
|
| MAULUMA | 12 |
0%
|
|
| MAUNGANI | 2 |
0%
|
|
| MAVAMBE | 3 |
0%
|
|
| MAWONI | 3 |
0%
|
|
| MBAULA | 3 |
0%
|
|
| MBOKOTA | 6 |
0%
|
|
| METZ | 5 |
0%
|
|
| MIAMI LOUNGE | 6 |
0%
|
|
| MMASHILABELA | 1 |
0%
|
|
| MMOTONG | 4 |
0%
|
|
| MODIMOLLE | 18 |
0%
|
|
| MODIMULE | 3 |
0%
|
|
| MOGOTO | 4 |
0%
|
|
| MOHLABA | 10 |
0%
|
|
| MOHLALETSI | 8 |
0%
|
|
| MOHODI GA MANTHATA | 9 |
0%
|
|
| MOKGWANENG | 9 |
0%
|
|
| MOKOPANE | 134 |
0.1%
|
|
| MOLEJIE | 6 |
0%
|
|
| MOLETJI | 21 |
0%
|
|
| MOLETJIE | 55 |
0%
|
|
| MONGALO | 6 |
0%
|
|
| MONSTERLUS | 52 |
0%
|
|
| MOOKGOPHONG | 14 |
0%
|
|
| MOPANE | 3 |
0%
|
|
| MOREBENG | 12 |
0%
|
|
| MORIA | 368 |
0.2%
|
|
| MORUJI | 3 |
0%
|
|
| MOSESETJANE | 6 |
0%
|
|
| MOTSERERENG | 2 |
0%
|
|
| MOTUPA | 3 |
0%
|
|
| MPHAHLELE | 6 |
0%
|
|
| MPHANAMA | 1 |
0%
|
|
| MPHENI | 5 |
0%
|
|
| MUILA | 1 |
0%
|
|
| MULIMA | 3 |
0%
|
|
| MUSEKWA | 4 |
0%
|
|
| MUSINA | 50 |
0%
|
|
| MUSWODI | 3 |
0%
|
|
| MUTALE | 20 |
0%
|
|
| NAMAKGALE | 16 |
0%
|
|
| NAMCEFILELD | 3 |
0%
|
|
| NDZHELELE | 13 |
0%
|
|
| NEBO | 17 |
0%
|
|
| NHLAVENI | 1 |
0%
|
|
| NIRVANA | 3 |
0%
|
|
| NJELELE | 24 |
0%
|
|
| NKOMO | 3 |
0%
|
|
| NKOWANKOWA | 12 |
0%
|
|
| NOBODY | 5 |
0%
|
|
| NORTHAM | 12 |
0%
|
|
| NOT APPLICABLE | 191916 |
88.4%
|
|
| NWAMITWA | 3 |
0%
|
|
| NYLSTROOM | 3 |
0%
|
|
| OHRIGSTAD | 3 |
0%
|
|
| OLIFANTSHOEK | 5 |
0%
|
|
| PHALABORWA | 77 |
0%
|
|
| PHAPHAZELA | 3 |
0%
|
|
| PHIPHIDI | 3 |
0%
|
|
| PHOKOANE | 32 |
0%
|
|
| PODUNGWANE | 9 |
0%
|
|
| POLOKWANE | 237 |
0.1%
|
|
| POTGIETERSRUS | 3 |
0%
|
|
| RAJEKE | 3 |
0%
|
|
| RAMOTSHINYADI | 1 |
0%
|
|
| RAPHAHLELO | 6 |
0%
|
|
| RATHOKE | 4 |
0%
|
|
| RIETFONTEIN | 6 |
0%
|
|
| ROOIWAL | 1 |
0%
|
|
| ROTTERDAM | 15 |
0%
|
|
| SAAIPLAAS | 6 |
0%
|
|
| SCHOONOORD | 24 |
0%
|
|
| SEHLAKWANA | 6 |
0%
|
|
| SEHLAKWANE | 2 |
0%
|
|
| SEKGAKGAPENG | 5 |
0%
|
|
| SEKGOSESE | 5 |
0%
|
|
| SEKHUKHUNE | 20 |
0%
|
|
| SEKORORO | 22 |
0%
|
|
| SELWANE | 4 |
0%
|
|
| SENWABARWANA | 3 |
0%
|
|
| SEPHAKU | 4 |
0%
|
|
| SEPHUKUBJE | 15 |
0%
|
|
| SERULENG | 9 |
0%
|
|
| SESHEGO | 44 |
0%
|
|
| SETHUNG | 3 |
0%
|
|
| SHAYANDIMA | 9 |
0%
|
|
| SHIVULANI | 6 |
0%
|
|
| SHONGOANE | 10 |
0%
|
|
| SIBASA | 3 |
0%
|
|
| SINOTLELO | 3 |
0%
|
|
| SINTHUMULE | 3 |
0%
|
|
| SLIRNOT | 15 |
0%
|
|
| SOEKMEKAAR | 12 |
0%
|
|
| SOLOMONDALE | 1 |
0%
|
|
| STEELPOORT | 23 |
0%
|
|
| STEILOOP | 11 |
0%
|
|
| STERKWATER | 6 |
0%
|
|
| STRYDKRAAL | 12 |
0%
|
|
| TAAIBOSCHGROET | 6 |
0%
|
|
| TAFELKOP | 47 |
0%
|
|
| THABA THOLO | 6 |
0%
|
|
| THABAZIMBI | 21 |
0%
|
|
| THOHOYANDOU | 65 |
0%
|
|
| TIBERIUS | 24 |
0%
|
|
| TIKILINE | 6 |
0%
|
|
| TIYANI | 6 |
0%
|
|
| TJIANE | 6 |
0%
|
|
| TSHAKHUMA | 12 |
0%
|
|
| TSHAVHALOVHEDZI | 5 |
0%
|
|
| TSHIFUDI | 3 |
0%
|
|
| TSHIKOTA | 3 |
0%
|
|
| TSHIKWARANI | 3 |
0%
|
|
| TSHILAMBA | 3 |
0%
|
|
| TSHILWAVHUSIKU | 6 |
0%
|
|
| TSHIMBUPFE | 6 |
0%
|
|
| TSHINO | 3 |
0%
|
|
| TSHIPISE | 9 |
0%
|
|
| TSHISHILUBULU | 3 |
0%
|
|
| TSHITEREKE | 9 |
0%
|
|
| TSHITUNI | 6 |
0%
|
|
| TSHIUNGANI | 4 |
0%
|
|
| TSHIVHILWI | 8 |
0%
|
|
| TSHIXWADZA | 6 |
0%
|
|
| TSWENYANE | 2 |
0%
|
|
| TUBATSE | 3 |
0%
|
|
| TURFLOOP | 30 |
0%
|
|
| TZANEEN | 181 |
0.1%
|
|
| UNSPECIFIED | 20713 |
9.5%
|
|
| VAALWATER | 17 |
0%
|
|
| VALDEZIA | 2 |
0%
|
|
| VEENEN | 6 |
0%
|
|
| VENDA | 38 |
0%
|
|
| VHULAUDZI | 1 |
0%
|
|
| VHURIVHURI | 1 |
0%
|
|
| VLAKFONTEIN | 3 |
0%
|
|
| VUWANI | 50 |
0%
|
|
| WAMAGALE | 3 |
0%
|
|
| WARMBATHS | 27 |
0%
|
|
| WATERBERG | 16 |
0%
|
|
| WESTENBURG | 1 |
0%
|
|
| ZEBEDIELA | 92 |
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.