Methodology

How we know a place.

The womiin Score turns a location into evidence you can weigh. Here's how it's built, what it's built on, and the principles that keep it honest.

How the score is built

The womiin Score rates every location from 0 to 100 across 8 dimensions of wellbeing — things like getting around, everyday services, green space, safety and the environment — each drawn from dozens of underlying indicators. It's computed the same way for every place, and the same for everyone who looks.

That standard score sits next to a personalized one: adjust the weight of each dimension to match what matters to you, and the score re-reads the same evidence through your priorities. The standard stays as the neutral benchmark; your version is yours.

See the full score breakdown

Two missions, two lenses

The womiin Score isn't one fixed checklist — it reads a place through the lens of your mission, because what makes somewhere good to live in isn't what makes it good to visit. Both modes score 8 dimensions built from dozens of indicators: some dimensions are shared, some are specific to the mission, and the weights differ. Long-stay missions weight all 8 dimensions equally; short-stay missions lean toward what matters on a trip. Search distances adapt too — a hospital counts over a wider area when you're settling in than when you're just visiting.

Long stay — buying or renting

All 8 dimensions weighted equally

  • Education12.5%
    Primary Schools34%Kindergartens23%EB 2/3 Schools22%Secondary Schools15%Higher Education6%
  • Transport12.5%
    Bus Stops24%Metro17%Train16%Cycle Paths10%Motorway / Expressway15%Vehicle Charging & Fuel10%Ferry4%Airport4%
  • Health12.5%
    Gyms20%Hospitals17%Health Centres15%Sports Fields15%Pharmacies13%Physiotherapy12%Emergency Stations5%Ambulances3%
  • Services12.5%
    Internet Speed25%Supermarkets20%Service Diversity15%Local Shops12%Public Services10%Banks / ATM8%Vets5%Coworking5%
  • Environment12.5%
    Green Spaces28%Climate Comfort18%Air Quality13%Noise8%Rivers & Lakes11%Flight Cone10%Solar Potential7%Flood Risk5%
  • Dining12.5%
    Restaurants37%Cafes26%Culinary Diversity16%Fast Food11%Bars10%
  • Culture12.5%
    Cinemas24%Theatres19%Museums15%Libraries15%Cultural Centres10%Event Spaces9%Monuments8%
  • Safety12.5%
    Police Stations28%Fire Stations26%Fire Hydrants17%Surveillance13%Defibrillators9%Pedestrian Zone7%

Short stay — travel

Weighted for a trip — attractions & food lead

  • Culture & Attractions20%
    Monuments28%Museums25%Attractions20%Viewpoints15%Tourist Information12%
  • Gastronomy & Drinks18%
    Restaurants30%Cafes22%Bars18%Gourmet Markets16%Fast Food14%
  • Mobility & Access15%
    Metro24%Bus22%Train18%Airport14%Bike Share12%Taxi6%Ferry4%
  • Nature & Beach15%
    Air Quality25%Beaches22%Parks20%Proximity to Water15%Walking Trails10%Swimming Pools8%
  • Entertainment12%
    Nightlife25%Cinemas20%Theatres17%Live Music15%Shopping10%Wellness & Spa8%Games & Leisure5%
  • Convenience10%
    Internet Speed25%Supermarkets22%Pharmacies18%ATM15%Laundry10%Local Shops5%Post Office5%
  • Safety & Comfort7%
    Police22%Pedestrian Zone20%Hospitals15%Embassies13%Flight Cone12%Fire Stations10%Noise8%
  • Family & Kids3%
    Playgrounds28%Theme Parks25%Zoos & Aquariums22%Ice Cream & Sweets15%Children's Libraries10%

The two modes don't just re-weight one list — some dimensions and indicators are specific to the mode. Noise, for instance, counts under Environment for a long stay but under Safety & Comfort for a trip. The percentage on each indicator is its standard weight within that dimension (they add up to 100%). Every name shown here is exactly what you see in the app — on every plan, including Free.

Grounded in evidence

The methodology draws on established wellbeing frameworks, recognised standards and peer-reviewed research — WHO air-quality guidelines, ASHRAE and ISO comfort and acoustic standards, IPCC climate science, and urban-health work published in journals like The Lancet, among others. Where a recognised standard provides a threshold, we use it rather than inventing our own.

Crucially, these sources set the yardstick — they don't just supply raw data. Climate Comfort, for example, reads temperature and humidity from Copernicus (ERA5-Land) but scores them against the 18–24 °C thermal-comfort band of ASHRAE Standard 55 and a 30–60% relative-humidity comfort range; Air Quality is measured against the World Health Organization's guideline thresholds. The data describes the conditions; the frameworks define what "good" means.

Data sources & attributions

The womiin Score is built on open and internationally recognized data. We credit every source, and we honour each license — including the attributions some of them require.

Attributions

Map tiles are © OpenStreetMap contributors and © CARTO. Geographic data comes from OpenStreetMap under the Open Database License (ODbL). Air-quality and climate indicators contain modified Copernicus Atmosphere Monitoring Service and Climate Change Service information. Flood risk (WRI Aqueduct), solar potential (Global Solar Atlas — © 2021 The World Bank, source: Global Solar Atlas 2.0, Solargis), population density (EU JRC — GHSL) and internet-speed data (M-Lab) are used under CC BY 4.0, with attribution to each source. Sources marked ★ in the grid above require attribution under their license; the map tiles (OpenStreetMap + CARTO) are credited here.

Principles

Impartial, buyer-first

The womiin Score answers to the person deciding, not to a seller or a listing. The standard score is computed the same way everywhere — there's no paid placement, and a listing's description or amenity claims don't affect the score; its location is evaluated against independent data.

Stable over time

A score keeps the method version used when it was calculated, so later changes to the method don't rewrite past results. History stays intact as the methodology evolves.

Evidence, not opinion

Every indicator traces back to a concrete, checkable source — a mapped point of interest, a measured distance, a published dataset.

Questions about our methodology

Can a place pay to score higher?

No. The standard womiin Score is computed the same way for every location from independent data — there's no paid placement, and a listing's own description never feeds the score. That impartiality is the whole point.

Where does the data come from?

From open and internationally recognized sources — OpenStreetMap for places of interest, Copernicus for air quality and climate, WRI Aqueduct for flood risk, the Global Solar Atlas for sun, M-Lab for internet speed, and more. Every source is credited above, and we honour each license.

Why did a score change — or stay the same?

Scores update when the underlying facts change — a new transit stop opens, a data source refreshes. If the real inputs haven't changed, the score doesn't churn just because time passed. And when we improve the method, we don't retroactively rewrite past scores, so trends stay comparable.

Is the score a guarantee about a property?

No. The womiin Score is decision-support about a place — the location and what surrounds it — not a valuation or a promise about a specific home. It's there to help you weigh a decision with evidence, alongside your own judgment.

How accurate is it for my exact address?

The score reflects the area around the property, not the building itself. When a location can only be placed approximately, we tell you — precision is part of the evidence, not something we hide.

Still curious?

Questions about our data, sources, or methods? Ask us anything — in any language.

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