WTMG Intelligence
Botswana Relocation Market Intelligence
A data-driven view of Botswana's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.
RMOS Score45.0442
Global RMOS Rank#122 of 171
Migration Momentum57.5
International Migrant Stock116,402
Migrant Share4.6%
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
Botswana's RMOS position
Authoritative RMOS45.0442
Global rank#122
Countries scored171
Top positionTop 71.3%
Migrant-stock rank#115 of 172
Migration-momentum rank#94 of 172
RMOS component breakdown
Weighted contributions reconcile to the stored authoritative RMOS score.
| Component | Normalized score | Weight | Weighted contribution |
|---|---|---|---|
| Migration Momentum | 57.5 | 25% | 14.3779 |
| Migrant Market Size | 33.3 | 20% | 6.6667 |
| Migrant Share | 47.6 | 15% | 7.1471 |
| GDP per Capita | 47.8 | 15% | 7.1629 |
| GDP Growth | 1.7 | 10% | 0.1695 |
| Destination Attractiveness | 62.7 | 10% | 6.2701 |
| Visa Accessibility | 65.0 | 5% | 3.2500 |
| Stored final RMOS | 45.0442 | ||
Botswana migration-market scale
Source years are shown separately because the underlying datasets update on different cycles.
MMS-1.0
Botswana Migration Momentum
These are changes in international migrant stock, not annual migration flows.
2024 migrant stock116,402
2020 migrant stock110,268
2015 migrant stock103,053
2020-2024 change+6,134 (+5.6%)
2015-2024 change+13,349 (+13.0%)
Largest migrant-stock origins into Botswana
2024 international migrant stock, not annual relocation flow.
| Rank | Origin | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | Zimbabwe | 67,878 | 64,301 | 60,080 | +3,577 (+5.6%) |
| #2 | South Africa | 6,052 | 5,733 | 5,359 | +319 (+5.6%) |
| #3 | India | 5,964 | 5,650 | 5,282 | +314 (+5.6%) |
| #4 | China | 5,043 | 4,777 | 4,466 | +266 (+5.6%) |
| #5 | Zambia | 4,661 | 4,415 | 4,128 | +246 (+5.6%) |
| #6 | Malawi | 1,560 | 1,478 | 1,384 | +82 (+5.5%) |
| #7 | Nigeria | 1,302 | 1,233 | 1,154 | +69 (+5.6%) |
| #8 | Kenya | 1,277 | 1,210 | 1,133 | +67 (+5.5%) |
| #9 | Namibia | 1,043 | 988 | 926 | +55 (+5.6%) |
| #10 | Sri Lanka | 1,043 | 988 | 926 | +55 (+5.6%) |
Largest destinations for migrants from Botswana
2024 international migrant stock, not annual relocation flow.
| Rank | Destination | 2024 migrant stock | 2020 stock | 2015 stock | 2020-2024 change |
|---|---|---|---|---|---|
| #1 | South Africa | 8,004 | 9,435 | 11,016 | -1,431 (-15.2%) |
| #2 | Zimbabwe | 3,985 | 3,865 | 3,725 | +120 (+3.1%) |
| #3 | Australia | 1,736 | 1,599 | 1,327 | +137 (+8.6%) |
| #4 | Zambia | 1,498 | 1,130 | 808 | +368 (+32.6%) |
| #5 | Namibia | 731 | 689 | 644 | +42 (+6.1%) |
| #6 | Lesotho | 247 | 198 | 151 | +49 (+24.7%) |
| #7 | Norway | 131 | 118 | 118 | +13 (+11.0%) |
| #8 | Denmark | 79 | 68 | 64 | +11 (+16.2%) |
| #9 | Guinea | 44 | 46 | 50 | -2 (-4.3%) |
| #10 | Eswatini | 39 | 39 | 41 | 0 (0.0%) |
WTLG input
WTLG Destination Attractiveness
62.7
Country median RAS used by RMOS, based on 1 covered WTLG cities.
WTMG provides market intelligence; WTLG provides destination intelligence.WTLG input
Visa Accessibility
65.0
Normalized RMOS component. Underlying median WTLG visa score: 65.0, based on 1 contributing cities.
Botswana against the global RMOS universe
A descriptive comparison with the median of currently scored countries.
| Measure | Botswana | Global median | Difference |
|---|---|---|---|
| RMOS | 45.0 | 55.8 | -10.7 |
| Migration Momentum | 57.5 | 60.1 | -2.6 |
| Migrant Market Size | 33.3 | 50.3 | -17.0 |
| Migrant Share | 47.6 | 50.0 | -2.4 |
| GDP per Capita | 47.8 | 51.1 | -3.4 |
| GDP Growth | 1.7 | 50.6 | -48.9 |
| Destination Attractiveness | 62.7 | 67.0 | -4.3 |
| Visa Accessibility | 65.0 | 60.0 | +5.0 |
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.