Australia Hobart vs Hong Kong (China) Hong Kong
Hong Kong (China) Hong Kong — Pick the Hong Kong (China) Hong Kong — it leads these groups: Economy 1
Tap a group name to see the proof · The scoring method is public
The short answer
Hong Kong (China) Hong Kong wins this comparison with a score of 63/100, ahead of Australia Hobart (61).
The main differences: Population (0.2 M vs 7.1 M) · Cost of living index (73.8 vs 76.4) · Rent index (32.5 vs 59.1).
Scores are computed from 26 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.
At a glance
0–100 per group, normalized within the category · Tap a group for details
| Australia Hobart | Hong Kong (China) Hong Kong | |
|---|---|---|
| Economy | 54 | 65 |
| Cost of living | 81 | 73 |
| Safety | 61 | 75 |
| Climate | 48 | 60 |
| People & place | 39 | 26 |
| Education & connectivity | 75 | 70 |
How to choose
Pick the Australia Hobart if you care about…
- Cost of living index 73.8 +2.6 vs 76.4
- Rent index 32.5 +26.6 vs 59.1
- Cost + rent index 54.9 +13.6 vs 68.5
- Local purchasing power 137.5 +52.5 vs 85
Pick the Hong Kong (China) Hong Kong if you care about…
- Population 7.1 M +6.9 M vs 0.2 M
- Groceries index 76.2 +6.9 vs 83.1
- Restaurant price index 46.3 +24.7 vs 71
Best price now
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Where they differ
10 · Only rows that actually differ, with a verdict per row
| Australia Hobart | Hong Kong (China) Hong Kong | Where they differ | |
|---|---|---|---|
| Population | 0.2 M | 7.1 M | Hong Kong (China) Hong Kong |
| Cost of living index | 73.8 | 76.4 | Australia Hobart |
| Rent index | 32.5 | 59.1 | Australia Hobart |
| Cost + rent index | 54.9 | 68.5 | Australia Hobart |
| Groceries index | 83.1 | 76.2 | Hong Kong (China) Hong Kong |
| Restaurant price index | 71 | 46.3 | Hong Kong (China) Hong Kong |
| Local purchasing power | 137.5 | 85 | Australia Hobart |
| Population density | 116 /km² | 6704 /km² | Australia Hobart |
| Area | 1695 km² | 1106 km² | Australia Hobart |
| Elevation | 54 m | 7 m | Australia Hobart |
The record
Grouped and collapsible · Tap a group to fold
Economy4▾
| Australia Hobart | Hong Kong (China) Hong Kong | |
|---|---|---|
| Population | 0.2 M | 7.1 M |
| Average salary | — | 3789.8 USD |
| Unemployment rate | — | 3.2 % |
| Mortgage interest rate | — | 0.5 % |
Cost of living8▾
| Australia Hobart | Hong Kong (China) Hong Kong | |
|---|---|---|
| Cost of living index | 73.8 | 76.4 |
| Rent index | 32.5 | 59.1 |
| Cost + rent index | 54.9 | 68.5 |
| Groceries index | 83.1 | 76.2 |
| Restaurant price index | 71 | 46.3 |
| Local purchasing power | 137.5 | 85 |
| Internet (monthly) | — | 22.1 USD |
| 1-bed apt (city center) | — | 2190.8 USD |
Safety2▾
| Australia Hobart | Hong Kong (China) Hong Kong | |
|---|---|---|
| Safe to walk alone (day) | — | 8.7 /10 |
| Safe to walk alone (night) | — | 7.6 /10 |
Climate6▾
| Australia Hobart | Hong Kong (China) Hong Kong | |
|---|---|---|
| Average temperature | — | 23.4 °C |
| Summer average | — | 28.6 °C |
| Winter average | — | 16.6 °C |
| Annual precipitation | — | 2845 mm |
| Rain days per year | — | 198 days |
| Sunshine hours per year | — | 2906 h |
People & place4▾
| Australia Hobart | Hong Kong (China) Hong Kong | |
|---|---|---|
| Population density | 116 /km² | 6704 /km² |
| Area | 1695 km² | 1106 km² |
| Elevation | 54 m | 7 m |
| Population growth | — | 0.8 % |
Education & connectivity2▾
| Australia Hobart | Hong Kong (China) Hong Kong | |
|---|---|---|
| Kindergarten (monthly) | — | 1024.5 USD |
| International school (year) | — | 22070.3 USD |
Data sources: Numbeo · Open-Meteo · Wikidata
FAQ
Which is better, Australia Hobart or Hong Kong (China) Hong Kong?
Hong Kong (China) Hong Kong edges ahead 63 to 61 and leads in Economy. Choose Australia Hobart instead if Cost of living index matters more to you.
What are the main differences?
The main differences: Population (0.2 M vs 7.1 M) · Cost of living index (73.8 vs 76.4) · Rent index (32.5 vs 59.1).
How are the scores calculated?
We normalize 26 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.