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: Chongqing leads Cost of Living Index with 100 out of 100; Matola leads Safety Index with 100 out of 100; Matola leads Median Monthly Rent with 100 out of 100; Chongqing 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 | Matola | 89.8 | 0 out of 100 | 2026 | World Bank Open Data |
| Cost of Living Index | Chongqing | 81.7 | 100 out of 100 | 2026 | World Bank Open Data |
| Safety Index | Matola | 60.2 | 100 out of 100 | 2026 | UNData / UNSD |
| Safety Index | Chongqing | 46.4 | 0 out of 100 | 2026 | UNData / UNSD |
| Median Monthly Rent | Matola | $1,671 | 100 out of 100 | 2026 | World Bank Open Data |
| Median Monthly Rent | Chongqing | $2,305 | 0 out of 100 | 2026 | World Bank Open Data |
| House Price to Income | Matola | 11.4x | 0 out of 100 | 2026 | World Bank Open Data |
| House Price to Income | Chongqing | 6.4x | 100 out of 100 | 2026 | World Bank Open Data |
| Average Salary | Matola | $3,346/mo | 100 out of 100 | 2026 | World Bank Open Data |
| Average Salary | Chongqing | $3,196/mo | 0 out of 100 | 2026 | World Bank Open Data |
| Unemployment Rate | Matola | 4.2% | 100 out of 100 | 2026 | World Bank Open Data |
| Unemployment Rate | Chongqing | 4.9% | 0 out of 100 | 2026 | World Bank Open Data |
| Healthcare Access Index | Matola | 69.6 | 100 out of 100 | 2026 | WHO Global Health Observatory |
| Healthcare Access Index | Chongqing | 60.8 | 0 out of 100 | 2026 | WHO Global Health Observatory |
| Life Expectancy | Matola | 71.3 years | 0 out of 100 | 2026 | WHO Global Health Observatory |
| Life Expectancy | Chongqing | 79.2 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
Matola leads safety, rent, and salary; Chongqing leads cost, housing, and health.
cost
Matola
89.8
Chongqing
81.7
safety
Matola
60.2
Chongqing
46.4
housing
Matola
$1,671
Chongqing
$2,305
housing
Matola
11.4x
Chongqing
6.4x
jobs
Matola
$3,346/mo
Chongqing
$3,196/mo
jobs
Matola
4.2%
Chongqing
4.9%
health
Matola
69.6
Chongqing
60.8
health
Matola
71.3 years
Chongqing
79.2 years
environment
environment
infrastructure
demographics
Matola
3.0%
Chongqing
1.5%
education
Matola
54.4
Chongqing
59.4
transport
Matola
53.1
Chongqing
59.1
safety
Matola
2.4 per 100k
Chongqing
27.5 per 100k
safety
Matola
54.9 per 100k
Chongqing
33.1 per 100k
health
Matola
25.3%
Chongqing
16.0%
quality
Matola
5.2
Chongqing
4.5
housing
Matola
$3,214/sqm
Chongqing
$5,381/sqm
religion
Matola
64.3%
Chongqing
31.3%
religion
Matola
32.0%
Chongqing
72.8%
religion
Matola
1.1%
Chongqing
64.0%
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.