WTMG Intelligence

South Africa Relocation Market Intelligence

A data-driven view of South Africa's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.

RMOS Score49.7225
Global RMOS Rank#105 of 171
Migration Momentum36.8
International Migrant Stock2,631,100
Migrant Share4.1%
MethodologyRMOS-GLOBAL-1.0
Data Coverage100.0%

This profile describes structural relocation-market conditions. It does not represent WTMG customer demand, leads, transactions or revenue.

RMOS-GLOBAL-1.0

South Africa's RMOS position

Authoritative RMOS49.7225
Global rank#105
Countries scored171
Top positionTop 61.4%
Migrant-stock rank#27 of 172
Migration-momentum rank#132 of 172

RMOS component breakdown

Weighted contributions reconcile to the stored authoritative RMOS score.

ComponentNormalized scoreWeightWeighted contribution
Migration Momentum36.825%9.2105
Migrant Market Size84.820%16.9591
Migrant Share42.915%6.4412
GDP per Capita40.415%6.0674
GDP Growth13.610%1.3559
Destination Attractiveness59.410%5.9384
Visa Accessibility75.05%3.7500
Stored final RMOS49.7225

South Africa migration-market scale

Source years are shown separately because the underlying datasets update on different cycles.

International migrant stock2,631,100Source year: 2024
Migrant share4.1%Source year: 2024
Population64,747,319Source year: 2025
GDP per capita$6,267Source year: 2024
GDP growth0.5%Source year: 2024

MMS-1.0

South Africa Migration Momentum

These are changes in international migrant stock, not annual migration flows.

2024 migrant stock2,631,100
2020 migrant stock2,639,076
2015 migrant stock3,162,564
2020-2024 change-7,976 (-0.3%)
2015-2024 change-531,464 (-16.8%)

Largest migrant-stock origins into South Africa

2024 international migrant stock, not annual relocation flow.

RankOrigin2024 migrant stock2020 stock2015 stock2020-2024 change
#1Zimbabwe1,072,620966,487833,530+106,133 (+11.0%)
#2Mozambique412,058413,226403,208-1,168 (-0.3%)
#3Lesotho237,718215,957183,120+21,761 (+10.1%)
#4Malawi220,437177,019121,300+43,418 (+24.5%)
#5Ethiopia104,402117,44272,207-13,040 (-11.1%)
#6Namibia34,27336,79538,929-2,522 (-6.9%)
#7Bangladesh30,63747,82127,930-17,184 (-35.9%)
#8India27,67432,30234,185-4,628 (-14.3%)
#9Nigeria26,70730,99633,525-4,289 (-13.8%)
#10Zambia22,94625,67728,326-2,731 (-10.6%)

Largest destinations for migrants from South Africa

2024 international migrant stock, not annual relocation flow.

RankDestination2024 migrant stock2020 stock2015 stock2020-2024 change
#1Australia213,447199,994177,482+13,453 (+6.7%)
#2USA161,507129,545102,856+31,962 (+24.7%)
#3New Zealand101,97082,62562,541+19,345 (+23.4%)
#4Canada52,60050,95747,223+1,643 (+3.2%)
#5Netherlands31,02420,33113,669+10,693 (+52.6%)
#6Mozambique21,02220,17119,198+851 (+4.2%)
#7Zimbabwe20,34619,73119,013+615 (+3.1%)
#8Ireland18,85713,0738,088+5,784 (+44.2%)
#9Israel14,53513,83712,381+698 (+5.0%)
#10Portugal14,23212,65111,028+1,581 (+12.5%)

WTLG input

WTLG Destination Attractiveness

59.4

Country median RAS used by RMOS, based on 3 covered WTLG cities.

WTMG provides market intelligence; WTLG provides destination intelligence.

WTLG input

Visa Accessibility

75.0

Normalized RMOS component. Underlying median WTLG visa score: 75.0, based on 3 contributing cities.

South Africa against the global RMOS universe

A descriptive comparison with the median of currently scored countries.

MeasureSouth AfricaGlobal medianDifference
RMOS49.755.8-6.0
Migration Momentum36.860.1-23.3
Migrant Market Size84.850.3+34.5
Migrant Share42.950.0-7.1
GDP per Capita40.451.1-10.7
GDP Growth13.650.6-37.0
Destination Attractiveness59.467.0-7.6
Visa Accessibility75.060.0+15.0

Data years and limitations

  • UN migrant stock and corridors: 2024; momentum compares 2024 with 2020 and 2015.
  • World Bank GDP inputs use the actual observation years shown above.
  • WTLG destination data reflects the current stored WTLG dataset and depends on covered WTLG cities.
  • RMOS measures structural opportunity, not actual demand; migrant stock is not annual migration flow.
  • Different datasets have different update cycles.
  • This profile does not estimate provider revenue or demand for a specific professional service.

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