Domestic Tourism Survey 2015
South Africa, 2015 - 2016
Get Microdata
Reference ID
ZAF_2015_DTS_v01_M
Producer(s)
Statistics South Africa
Collection(s)
Metadata
Created on
Jun 06, 2018
Last modified
Jun 06, 2018
Page views
22599
Downloads
797
Place name (Q51PLC91)
Data file: zaf-statssa-dts-2015-overnighttrips-v1.1
Overview
Valid:
220568
Invalid:
0
Type:
Discrete
Start:
839
End:
856
Width:
18
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ACORNHOEK | 2 |
0%
|
|
| ALLDAYS | 4 |
0%
|
|
| ALMA | 2 |
0%
|
|
| APEL | 3 |
0%
|
|
| ATOK | 3 |
0%
|
|
| AURORA | 3 |
0%
|
|
| BAKENBURG | 44 |
0%
|
|
| BEGWA | 10 |
0%
|
|
| BEITBRIDGE | 3 |
0%
|
|
| BELA-BELA | 50 |
0%
|
|
| BELLEVUE | 1 |
0%
|
|
| BOCHUM | 92 |
0%
|
|
| BOLOBEDU | 28 |
0%
|
|
| BOTLOKWA | 41 |
0%
|
|
| BRAAMBOS | 2 |
0%
|
|
| BRUSSELS | 6 |
0%
|
|
| BUISDORP | 3 |
0%
|
|
| BURGERSFORT | 73 |
0%
|
|
| BUSHBUCKRIDGE | 9 |
0%
|
|
| DENDRON | 3 |
0%
|
|
| DENNILTON | 47 |
0%
|
|
| DIE OAKS | 3 |
0%
|
|
| DIPHALE | 3 |
0%
|
|
| DOORNFONTEIN | 6 |
0%
|
|
| DRIEFONTEIN | 6 |
0%
|
|
| DRIEKOP | 6 |
0%
|
|
| DULLSTROOM | 6 |
0%
|
|
| DZIMAULI | 9 |
0%
|
|
| ELIM | 38 |
0%
|
|
| ENTABENE | 3 |
0%
|
|
| FICKSBURG | 9 |
0%
|
|
| FLORAPARK | 3 |
0%
|
|
| FOLOVHODWE | 6 |
0%
|
|
| GA MAPHAHLELE | 3 |
0%
|
|
| GA MASHANDANE | 1 |
0%
|
|
| GA SELAKA | 3 |
0%
|
|
| GA-CHUENE | 13 |
0%
|
|
| GA-DIKGALE | 2 |
0%
|
|
| GA-KGAPANE | 24 |
0%
|
|
| GA-KIBI | 6 |
0%
|
|
| GA-KUBJANA | 3 |
0%
|
|
| GA-MADIBENG | 11 |
0%
|
|
| GA-MAGATU | 3 |
0%
|
|
| GA-MAJA | 1 |
0%
|
|
| GA-MALEBOGO | 3 |
0%
|
|
| GA-MAMABOLO | 7 |
0%
|
|
| GA-MAMAILA | 6 |
0%
|
|
| GA-MARISHANE | 12 |
0%
|
|
| GA-MASEMOLA | 41 |
0%
|
|
| GA-MASHABELA | 9 |
0%
|
|
| GA-MASHAMBA | 5 |
0%
|
|
| GA-MASHASHANE | 49 |
0%
|
|
| GA-MASOMA | 6 |
0%
|
|
| GA-MODJADJI | 3 |
0%
|
|
| GA-MOLEPO | 25 |
0%
|
|
| GA-MOTHAPO | 1 |
0%
|
|
| GA-MOTHIBA | 3 |
0%
|
|
| GA-MPHAHLELE | 23 |
0%
|
|
| GA-NCHABELENG | 3 |
0%
|
|
| GA-PHAAHLA | 15 |
0%
|
|
| GA-PHAPHADI | 3 |
0%
|
|
| GA-PHASHA | 6 |
0%
|
|
| GA-RAKGWADI | 3 |
0%
|
|
| GA-RAPHAHLELO | 1 |
0%
|
|
| GA-RIBA | 1 |
0%
|
|
| GA-SEKGOPO | 15 |
0%
|
|
| GA-SEKHUKHUNE | 5 |
0%
|
|
| GA-SEKORORO | 9 |
0%
|
|
| GA-SELEKA | 11 |
0%
|
|
| GA-SELOLO | 2 |
0%
|
|
| GA-WALE | 3 |
0%
|
|
| GA-WULA | 2 |
0%
|
|
| GABA | 12 |
0%
|
|
| GAMANTHATA | 3 |
0%
|
|
| GARAPHAHLELA | 4 |
0%
|
|
| GASEKHUKHUNE | 2 |
0%
|
|
| GATHOKA | 3 |
0%
|
|
| GIYANI | 197 |
0.1%
|
|
| GLADSTONE | 6 |
0%
|
|
| GLEN COWIE | 8 |
0%
|
|
| GLOBLESDAL | 2 |
0%
|
|
| GOGOGO | 9 |
0%
|
|
| GROBLERSDAL | 20 |
0%
|
|
| GROOTDRAAI | 3 |
0%
|
|
| GROOTPAN | 3 |
0%
|
|
| HA - RABALI | 3 |
0%
|
|
| HA-DAVHANA | 3 |
0%
|
|
| HA-LUVHIMBI | 6 |
0%
|
|
| HA-MAKUYA | 18 |
0%
|
|
| HA-MANENZHE | 9 |
0%
|
|
| HA-MANGILASI | 3 |
0%
|
|
| HA-MASHAU | 6 |
0%
|
|
| HA-MASIA | 3 |
0%
|
|
| HA-MATLALA | 43 |
0%
|
|
| HA-MULIMA | 3 |
0%
|
|
| HA-MUNENTZHE | 6 |
0%
|
|
| HA-RABALI | 3 |
0%
|
|
| HA-SINTHUMULE | 2 |
0%
|
|
| HLOHLOKWE | 3 |
0%
|
|
| HOEDSPRUIT | 47 |
0%
|
|
| HWIBI | 3 |
0%
|
|
| INDERMARK | 9 |
0%
|
|
| JAMILA | 6 |
0%
|
|
| JANE FURSE | 60 |
0%
|
|
| JANFURSA | 3 |
0%
|
|
| JULESBURG | 6 |
0%
|
|
| JUPITER | 5 |
0%
|
|
| KA-BUNGENI | 3 |
0%
|
|
| KA-MAJOSI | 6 |
0%
|
|
| KANANA | 3 |
0%
|
|
| KGAUTSWANE | 9 |
0%
|
|
| KHALA | 3 |
0%
|
|
| KHELINI | 1 |
0%
|
|
| KHUJWANA | 9 |
0%
|
|
| KRUGER NATIONAL PA | 39 |
0%
|
|
| KUTAMA | 3 |
0%
|
|
| KWAMAKENA | 3 |
0%
|
|
| KWAMATATANI | 6 |
0%
|
|
| LEBOENG | 6 |
0%
|
|
| LEBOWAKGOMO | 122 |
0.1%
|
|
| LEKURUNG | 12 |
0%
|
|
| LEMONDOKOP | 3 |
0%
|
|
| LEMULAKOP | 3 |
0%
|
|
| LENYENYE | 13 |
0%
|
|
| LEPHALALE | 68 |
0%
|
|
| LEPHEPANE | 3 |
0%
|
|
| LESOD MOTLANA | 1 |
0%
|
|
| LIMPOPO | 6 |
0%
|
|
| LOUIS TRICHARD | 12 |
0%
|
|
| LWAMONDO | 1 |
0%
|
|
| LYDEN | 2 |
0%
|
|
| MABALANE | 3 |
0%
|
|
| MADALA | 3 |
0%
|
|
| MADEIRA | 2 |
0%
|
|
| MADIBA PARK | 3 |
0%
|
|
| MADIKANA | 1 |
0%
|
|
| MADISHA-DITORO | 15 |
0%
|
|
| MADOMBIDZHA | 6 |
0%
|
|
| MAEBANE | 2 |
0%
|
|
| MAFEFE | 3 |
0%
|
|
| MAGOMANI | 3 |
0%
|
|
| MAHWELERENG | 51 |
0%
|
|
| MAKGODU | 3 |
0%
|
|
| MAKHADO | 18 |
0%
|
|
| MAKHUSHANE | 9 |
0%
|
|
| MAKHUTSO | 7 |
0%
|
|
| MAKOTOPONG | 3 |
0%
|
|
| MAKULEKE | 17 |
0%
|
|
| MAKWARELA | 4 |
0%
|
|
| MALAMULELE | 74 |
0%
|
|
| MALAVUWE | 3 |
0%
|
|
| MALEBOGO | 13 |
0%
|
|
| MALETJI | 9 |
0%
|
|
| MAMAILA | 6 |
0%
|
|
| MAMEHLABE | 5 |
0%
|
|
| MAMONE | 15 |
0%
|
|
| MANDELA | 3 |
0%
|
|
| MANDIWANA | 2 |
0%
|
|
| MANGOND | 3 |
0%
|
|
| MANKWENG | 9 |
0%
|
|
| MAPAKOPHELE | 1 |
0%
|
|
| MAPELA | 14 |
0%
|
|
| MARBLE HALL | 53 |
0%
|
|
| MARISHANE | 3 |
0%
|
|
| MASEHLANENG | 9 |
0%
|
|
| MASHITE | 15 |
0%
|
|
| MASISI | 3 |
0%
|
|
| MASSISI | 3 |
0%
|
|
| MATAMANYANE | 6 |
0%
|
|
| MATIPANE | 3 |
0%
|
|
| MATLALA | 3 |
0%
|
|
| MAVAMBE | 6 |
0%
|
|
| MAXUNDE | 15 |
0%
|
|
| METZ | 10 |
0%
|
|
| MODIMOLLE | 32 |
0%
|
|
| MODJADJI | 22 |
0%
|
|
| MOGOMO | 8 |
0%
|
|
| MOHLABANENG | 9 |
0%
|
|
| MOHLALETSI | 9 |
0%
|
|
| MOKOENA | 1 |
0%
|
|
| MOKOPANE | 155 |
0.1%
|
|
| MOLEPO | 17 |
0%
|
|
| MOLETJI | 103 |
0%
|
|
| MONSTERLUS | 6 |
0%
|
|
| MONTE CHRISTO | 3 |
0%
|
|
| MOOKGOPHONG | 30 |
0%
|
|
| MOPANE | 38 |
0%
|
|
| MORIA | 405 |
0.2%
|
|
| MOROKE | 12 |
0%
|
|
| MOSTERLOOS | 3 |
0%
|
|
| MOTETEMA | 5 |
0%
|
|
| MOTETI | 3 |
0%
|
|
| MOTHIBA | 3 |
0%
|
|
| MOTSERERENG | 1 |
0%
|
|
| MPHANAMA | 2 |
0%
|
|
| MPHEGO | 3 |
0%
|
|
| MPHEKO | 3 |
0%
|
|
| MPHELENG | 3 |
0%
|
|
| MUSINA | 9 |
0%
|
|
| MUSWODI | 3 |
0%
|
|
| MUWAWENI | 3 |
0%
|
|
| NAMAKGALE | 22 |
0%
|
|
| NEBO | 31 |
0%
|
|
| NGWANALLELA | 33 |
0%
|
|
| NJELELE | 58 |
0%
|
|
| NKOWANKOWA | 9 |
0%
|
|
| NOBODY | 4 |
0%
|
|
| NORTHAM | 3 |
0%
|
|
| NOT APPLICABLE | 192872 |
87.4%
|
|
| NWAMITWA | 9 |
0%
|
|
| NYLSTROOM | 12 |
0%
|
|
| OLIFANTSHOEK | 10 |
0%
|
|
| PHALABORWA | 34 |
0%
|
|
| PHIPHIDI | 12 |
0%
|
|
| PHOKOANE | 16 |
0%
|
|
| PODUNGWANE | 6 |
0%
|
|
| POLOKWANE | 300 |
0.1%
|
|
| PRAKTISEER | 6 |
0%
|
|
| RATHOKE | 2 |
0%
|
|
| REBONE | 3 |
0%
|
|
| RIVERSIDE | 9 |
0%
|
|
| ROTTERDAM | 6 |
0%
|
|
| RULANI | 9 |
0%
|
|
| SAAIPLAAS | 3 |
0%
|
|
| SANE | 3 |
0%
|
|
| SEKGAKGAPENG | 21 |
0%
|
|
| SEKGOPHOKGOPHONG | 3 |
0%
|
|
| SEKGOPO | 9 |
0%
|
|
| SEKHUKHUNE | 17 |
0%
|
|
| SEPHUKUBJE | 9 |
0%
|
|
| SESHEGO | 67 |
0%
|
|
| SETUMONG | 3 |
0%
|
|
| SHAYANDIMA | 10 |
0%
|
|
| SHONGOANE | 6 |
0%
|
|
| SINTHUMULE | 3 |
0%
|
|
| SLAAPHOEK | 13 |
0%
|
|
| SOEKMEKAAR | 3 |
0%
|
|
| SOETFONTEIN | 4 |
0%
|
|
| SOLOMONDALE | 3 |
0%
|
|
| STEELPOORT | 32 |
0%
|
|
| STOFBERG | 3 |
0%
|
|
| STOKIE | 6 |
0%
|
|
| SWARTWATER | 15 |
0%
|
|
| TAAIBOS | 8 |
0%
|
|
| TAFELKOP | 31 |
0%
|
|
| THABAZIMBI | 18 |
0%
|
|
| THAKGALANE | 3 |
0%
|
|
| THAMAGANE | 12 |
0%
|
|
| THOHOYANDOU | 109 |
0%
|
|
| TIKILINE | 9 |
0%
|
|
| TSHAMAHASI | 6 |
0%
|
|
| TSHAVHALOVHEDZI | 1 |
0%
|
|
| TSHIDONGOLOLWE | 1 |
0%
|
|
| TSHIPISE | 16 |
0%
|
|
| TSHITAVHA | 3 |
0%
|
|
| TURFLOOP | 74 |
0%
|
|
| TZANEEN | 184 |
0.1%
|
|
| UNSPECIFIED | 23142 |
10.5%
|
|
| VAALKOP | 6 |
0%
|
|
| VAALWATER | 9 |
0%
|
|
| VENDA | 53 |
0%
|
|
| VENUS | 3 |
0%
|
|
| VHULAUDZI | 2 |
0%
|
|
| VHURIVHURI | 2 |
0%
|
|
| VUWANI | 24 |
0%
|
|
| WARMBATHS | 12 |
0%
|
|
| WATERVAL | 8 |
0%
|
|
| XAWELA | 6 |
0%
|
|
| ZEBEDIELA | 69 |
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.