cost
Comparison
Side-by-side data for relocation, travel, hiring, and investment decisions. Values are shown with source-backed metric definitions so trade-offs are easy to compare.
Bars and radar use 0-100 better scores. Tooltips keep the raw source values visible.
Chart summary: Marseille leads Cost of Living Index with 100 out of 100; Marseille leads Safety Index with 100 out of 100; Marseille leads Median Monthly Rent with 100 out of 100; Cangzhou leads House Price to Income with 100 out of 100. A complete normalized score table follows.
| Metric | Place | Raw value | Normalized score | Year | Source |
|---|---|---|---|---|---|
| Cost of Living Index | Cangzhou | 83.2 | 0 out of 100 | 2026 | World Bank Open Data |
| Cost of Living Index | Marseille | 71.6 | 100 out of 100 | 2026 | World Bank Open Data |
| Safety Index | Cangzhou | 42.6 | 0 out of 100 | 2026 | UNData / UNSD |
| Safety Index | Marseille | 74 | 100 out of 100 | 2026 | UNData / UNSD |
| Median Monthly Rent | Cangzhou | $2,651 | 0 out of 100 | 2026 | World Bank Open Data |
| Median Monthly Rent | Marseille | $1,509 | 100 out of 100 | 2026 | World Bank Open Data |
| House Price to Income | Cangzhou | 8.1x | 100 out of 100 | 2026 | World Bank Open Data |
| House Price to Income | Marseille | 12.6x | 0 out of 100 | 2026 | World Bank Open Data |
| Average Salary | Cangzhou | $2,219/mo | 0 out of 100 | 2026 | World Bank Open Data |
| Average Salary | Marseille | $3,356/mo | 100 out of 100 | 2026 | World Bank Open Data |
| Unemployment Rate | Cangzhou | 6.6% | 0 out of 100 | 2026 | World Bank Open Data |
| Unemployment Rate | Marseille | 5.3% | 100 out of 100 | 2026 | World Bank Open Data |
| Healthcare Access Index | Cangzhou | 74.1 | 100 out of 100 | 2026 | WHO Global Health Observatory |
| Healthcare Access Index | Marseille | 71.6 | 0 out of 100 | 2026 | WHO Global Health Observatory |
| Life Expectancy | Cangzhou | 79.5 years | 0 out of 100 | 2026 | WHO Global Health Observatory |
| Life Expectancy | Marseille | 84.5 years | 100 out of 100 | 2026 | WHO Global Health Observatory |
cost
safety
housing
housing
jobs
jobs
health
health
Winner
No clear winner across 22 metrics.
Winner logic counts row wins after applying each metric direction. Exact ties do not count. Methodology
Top trade-offs
Cangzhou leads housing, health, and connectivity; Marseille leads cost, safety, and rent.
cost
Cangzhou
83.2
Marseille
71.6
safety
Cangzhou
42.6
Marseille
74
housing
Cangzhou
$2,651
Marseille
$1,509
housing
Cangzhou
8.1x
Marseille
12.6x
jobs
Cangzhou
$2,219/mo
Marseille
$3,356/mo
jobs
Cangzhou
6.6%
Marseille
5.3%
health
Cangzhou
74.1
Marseille
71.6
health
Cangzhou
79.5 years
Marseille
84.5 years
environment
environment
infrastructure
demographics
Cangzhou
1.4%
Marseille
0.1%
education
Cangzhou
66
Marseille
66.3
transport
Cangzhou
76.9
Marseille
67.3
safety
Cangzhou
27.3 per 100k
Marseille
27.5 per 100k
safety
Cangzhou
51.4 per 100k
Marseille
68.3 per 100k
health
Cangzhou
14.0%
Marseille
5.3%
quality
Cangzhou
5.5
Marseille
6.6
housing
Cangzhou
$2,619/sqm
Marseille
$11,595/sqm
religion
Cangzhou
78.6%
Marseille
56.5%
religion
Cangzhou
83.8%
Marseille
81.6%
religion
Cangzhou
63.5%
Marseille
51.4%
Some city-level values are modeled estimates when official city-level data is unavailable.
Each metric keeps its source, year, last refreshed date, and confidence label visible. Review methodology or Data Sources.