Mobility Affordability Benchmarks

Compare household income vs. mobility spend across cities and countries, in one aligned taxonomy.

Explore Affordability Data

Why this matters

Market sizing often fails when household budgets and transport costs are not aligned across geographies. A ratio that means “burden” in Paris may mean “affordable” in Oslo. Without harmonization, comparisons mislead and decisions stall.

This dataset standardizes income, costs, and adoption into comparable ratios. You can size markets, test scenarios, and prioritize regions with confidence.

Market Foresight

Go-To-Market Activation

How Starzdata solves this

Select cities, regions, or countries to benchmark
Normalize income and mobility costs to one currency
Apply consistent income and cost definitions
Derive ratios that compare across geographies
Add one-line affordability comments for quick reading

This segment is activated with a blend of trusted sources and your own inputs

AI reasoning

Web intelligence

Open Datasets

What you get:

Comparable affordability ratios across markets
Income and transport costs standardized to your taxonomy
Confidence scores for every enriched field
Export-ready dataset for sizing, strategy, and GTM

Clear ratios, aligned across geographies — ready for your models.

Sample data for this segment

#	geo name(input)	geo level(input)	currency standard	currency standard confidence	income definition	income definition confidence	median disposable income monthly	median disposable income monthly confidence	vehicle tco monthly	vehicle tco monthly confidence	public transit monthly	public transit monthly confidence	maas penetration rate	maas penetration rate confidence	household mobility cost ratio	household mobility cost ratio confidence	low income burden ratio	low income burden ratio confidence	methodology flag	methodology flag confidence	affordability comment	affordability comment confidence
1	Paris	city	EUR	100%	disposable	95%	2800	90%	620	85%	75	95%	40	80%	0.25	88%	0.38	82%	hybrid	90%	Mobility costs near 25% of disposable income; pres...	85%
2	Berlin	city	EUR	100%	disposable	95%	3000	91%	580	84%	65	94%	45	81%	0.21	87%	0.33	80%	hybrid	90%	More affordable than Paris; strong transit keeps b...	84%
3	Warsaw	city	PLN	100%	disposable	92%	1700	86%	500	82%	40	92%	25	78%	0.32	84%	0.47	79%	modeled	85%	High burden overall; equity concerns for bottom qu...	83%
4	Oslo	city	NOK	100%	disposable	94%	4200	92%	720	86%	90	93%	55	82%	0.19	88%	0.29	81%	hybrid	92%	Low burden; strong incomes and integrated MaaS sup...	86%
5	Mumbai	city	INR	100%	disposable	90%	850	82%	300	78%	25	88%	22	75%	0.38	82%	0.56	77%	modeled	82%	Significant burden; low incomes amplify mobility c...	83%

Showing 1 to 5 of 5 entries • Click row for details

Each row is one geography (city in this sample). Input fields: geo_name, geo_level. All other fields are enriched and carry confidence scores. Monetary fields are expressed in a common currency. Ratios show share of disposable income spent on mobility. A final comment interprets the affordability level.

Explore Affordability Data