Berlin vs Amsterdam

All shared metrics with city-level data. Each value links to its source and shows a confidence grade.

Side-by-side comparison of Berlin and Amsterdam using the same metric set, official source links and dated observations.

Last updated

Verdict

These cities are statistically similar — Fewer than 3 meaningful metric differences exist for this pair. The side-by-side data is still shown below.

Last checked 2026-06-12

Differences at a glance

The metrics with the largest normalized gaps. Arrows and text both state the direction — never colour alone.

Berlin vs Amsterdam — Differences at a glance.
Metric Berlin Amsterdam Verdict
Unemployment rate Bundesagentur für Arbeit Berlin-Brandenburg — Weiter Stagnation am Arbeitsmarkt in Berlin und Brandenburg · 2025-11-01 10.2 percent 3.87 percent Amsterdam lower -62%
Nearest scheduled airport distance OurAirports — airports.csv · 2026-06-13 18.8 km 10.4 km Amsterdam lower -45%

Best fit by profile

Remote worker

Tie

Lower overall cost.

Family

Amsterdam

Better air quality.

Student

Amsterdam

Better air quality.

Full side-by-side

All shared metrics with city-level data. Each value links to its source and shows a confidence grade.

Berlin vs Amsterdam — 3 scope.
Metric Berlin Amsterdam Confidence
Country Germany Netherlands
Last updated
Nearest airport direct destinations Unique direct destinations in OpenFlights routes.dat for the nearest airport. Scope: Berlin / Amsterdam N/A OpenFlights — routes.dat 232 count OpenFlights — routes.dat A Fresh
Nearest scheduled airport distance Great-circle distance from city centroid to nearest scheduled-service airport. Scope: Berlin / Amsterdam 18.8 km OurAirports — airports.csv 10.4 km OurAirports — airports.csv A Fresh
Unemployment rate Source-backed value for unemployment_total_percent. Scope: Berlin / Amsterdam 10.2 percent Bundesagentur für Arbeit Berlin-Brandenburg — Weiter Stagnation am Arbeitsmarkt in Berlin und Brandenburg 3.87 percent World Bank Data A Fresh

Data confidence

2 of 2 deltas use city-level A/B sources. Community (D-grade) rows are indicative only. Grades: A = official, B = trusted aggregator, D = community.

Verdict weights Tier-1 metrics (rent, salary, unemployment, cost) 3×, Tier-2 (safety, connectivity, health) 2×, Tier-3 (air, environment) 1×.

Similar comparisons

Official sources

  1. OpenFlights — routes.dat
  2. OurAirports — airports.csv
  3. Bundesagentur für Arbeit Berlin-Brandenburg — Weiter Stagnation am Arbeitsmarkt in Berlin und Brandenburg
  4. World Bank Data

FAQ

What if two cities are statistically similar?

When fewer than three meaningful differences exist, the verdict says so plainly — the choice comes down to preference. Near-identical comparisons are marked non-indexable but the side-by-side data is still shown.

How are the differences ranked?

Metrics are ordered by normalized delta — the size of the gap relative to the typical range for that metric — so the most decision-relevant differences surface first.

Why do some metrics use community data?

Where no official or trusted-aggregator source exists for a metric, community data such as Numbeo is used and graded D. Treat D-grade rows as indicative, not authoritative.

How is this comparison built?

It places the two city records side by side. Detailed metric tables with sources live on each city page; this view links to both.

Is the comparison data machine-readable?

Yes. The pair is exported at /data/compare/berlin-vs-amsterdam.json.