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Belgium Gent vs Cayman Islands George Town

🏆 Settled

Cayman Islands George Town — Pick the Cayman Islands George Town — it leads these groups: Climate 4 Economy 1

Tap a group name to see the proof · The scoring method is public

The short answer

Cayman Islands George Town wins this comparison with a score of 61/100, ahead of Belgium Gent (56).

The main differences: GDP per capita (country) (55245 USD vs 100065 USD) · Cost of living index (71.5 vs 116.5) · Rent index (25.9 vs 77.1).

Scores are computed from 25 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

Belgium Gent

Belgium Gent

Belgium
56score / 100
7 wins · 18 tied
🏆 Overall winner Cayman Islands George Town

Cayman Islands George Town

Cayman Islands
61score / 100
6 wins · 19 tied

At a glance

0–100 per group, normalized within the category · Tap a group for details

Belgium GentCayman Islands George Town
Economy 20 40
Cost of living 83 61
Safety 61 70
Climate 42 59
People & place 34 27
Education & connectivity 75 100

How to choose

Pick the Belgium Gent if you care about…

  • Cost of living index 71.5 +45 vs 116.5
  • Rent index 25.9 +51.2 vs 77.1
  • Cost + rent index 50.7 +47.8 vs 98.5
  • Groceries index 69.6 +60.2 vs 129.8

Pick the Cayman Islands George Town if you care about…

  • GDP per capita (country) 100065 USD +44820 USD vs 55245 USD
  • Local purchasing power 144.8 +11.4 vs 133.4
  • Average temperature 27.5 °C +15.7 °C vs 11.8 °C
  • Summer average 28.6 °C +8.8 °C vs 19.8 °C

Best price now

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Where they differ

13 · Only rows that actually differ, with a verdict per row

Belgium GentCayman Islands George TownWhere they differ
GDP per capita (country) 55245 USD100065 USD Cayman Islands George Town
Cost of living index 71.5116.5 Belgium Gent
Rent index 25.977.1 Belgium Gent
Cost + rent index 50.798.5 Belgium Gent
Groceries index 69.6129.8 Belgium Gent
Restaurant price index 86.3100.7 Belgium Gent
Local purchasing power 133.4144.8 Cayman Islands George Town
Average temperature 11.8 °C27.5 °C Cayman Islands George Town
Summer average 19.8 °C28.6 °C Cayman Islands George Town
Winter average 3.8 °C26.5 °C Cayman Islands George Town
Annual precipitation 1038 mm5178 mm Belgium Gent
Rain days per year 167 days291 days Belgium Gent
Sunshine hours per year 2546 h3025 h Cayman Islands George Town

The record

Grouped and collapsible · Tap a group to fold

Economy4▾
Belgium GentCayman Islands George Town
Population — 0.7 M
GDP per capita (country) 55245 USD 100065 USD
Average salary — 1087.3 USD
Mortgage interest rate — 0.8 %
Cost of living8▾
Belgium GentCayman Islands George Town
Cost of living index 71.5 116.5
Rent index 25.9 77.1
Cost + rent index 50.7 98.5
Groceries index 69.6 129.8
Restaurant price index 86.3 100.7
Local purchasing power 133.4 144.8
Internet (monthly) — 29.3 USD
1-bed apt (city center) — 361.1 USD
Safety2▾
Belgium GentCayman Islands George Town
Safe to walk alone (day) — 8.4 /10
Safe to walk alone (night) — 6.8 /10
Climate6▾
Belgium GentCayman Islands George Town
Average temperature 11.8 °C 27.5 °C
Summer average 19.8 °C 28.6 °C
Winter average 3.8 °C 26.5 °C
Annual precipitation 1038 mm 5178 mm
Rain days per year 167 days 291 days
Sunshine hours per year 2546 h 3025 h
People & place3▾
Belgium GentCayman Islands George Town
Population density — 6474 /km²
Area — 150 km²
Elevation — 4 m
Education & connectivity2▾
Belgium GentCayman Islands George Town
Kindergarten (monthly) — 139.8 USD
International school (year) — 4520.0 USD

Data sources: Numbeo · Open-Meteo · Wikidata · World Bank

FAQ

Which is better, Belgium Gent or Cayman Islands George Town?

Cayman Islands George Town has the higher overall score (61 vs 56) and leads in Climate, Economy. Choose Belgium Gent instead if Cost of living index matters more to you.

What are the main differences?

The main differences: GDP per capita (country) (55245 USD vs 100065 USD) · Cost of living index (71.5 vs 116.5) · Rent index (25.9 vs 77.1).

How are the scores calculated?

We normalize 25 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.