How Retire City Finder Works

This is a starting estimate for what it may cost to live in the city each month. It helps you compare places before you build your own personal budget.

We combine housing, food, utilities, transportation, taxes, insurance and local cost signals into one monthly estimate. When a source is missing, the estimate leans on the best public data available for that city, region, or country.

Sources: Census, HUD, BLS, USDA, IRS, World Bank, OECD, Numbeo and local public records where available.

Housing looks at rent or local housing cost signals. It is one of the biggest reasons two cities with similar daily costs can feel very different.

We start with rent and housing records where available, then compare them with local and regional housing signals so unusually low or high numbers do not stand alone.

Sources: HUD, Census, public rent records, local housing data and vetted city records.

This includes common daily costs such as food, utilities, transportation, local services and basic household needs.

We group everyday categories into a local spending baseline, then adjust the estimate using city, region and country level cost data.

Sources: BLS, USDA, World Bank, OECD, Numbeo and local public records.

These are reminders that the monthly number is not the whole story. State taxes, local fees, healthcare cover and home insurance can change what a place really costs.

We do not treat taxes or insurance as one fixed number for every person. We show them as cost context because your income, home, coverage and filing situation can change the result.

Sources: IRS, state tax records, CMS, FEMA, public insurance context and local records.

This looks for nearby hospital access and broader care capacity. A stronger signal means care may be easier to reach.

We look for hospital availability near the city and weigh it with broader care capacity. More nearby, relevant care access raises the signal.

Sources: CMS, OpenStreetMap, WHO, World Bank and public facility records.

Primary care looks for everyday medical access, such as doctors, clinics and local care options.

We count and compare everyday care options near the city, then normalize the result so larger and smaller places can be compared more fairly.

Sources: CMS, public provider records, OpenStreetMap and local care directories.

Pharmacies matter because they make daily care easier. They can also show whether a city has practical health services nearby.

We look for pharmacy access around the city and use it as one practical sign of daily healthcare convenience.

Sources: OpenStreetMap, public facility records and local provider records.

For places outside the United States, the city page may use country or regional care context when detailed city data is limited.

When city level records are limited, we blend available local signals with country or regional healthcare measures so international places still have useful context.

Sources: WHO, World Bank, OECD, public health records and local records where available.

This looks at serious crime signals where official records are available. It should always be read with local context.

We compare reported serious crime signals against the broader set of cities. Lower reported risk improves the safety signal.

Sources: FBI CDE, local public safety records, UNODC and vetted regional records.

This looks at theft and property risk signals that can affect daily comfort and insurance needs.

We compare reported property crime signals and blend them with other local risk context when direct city records are limited.

Sources: FBI CDE, local public safety records, UNODC, Numbeo and vetted regional records.

Local risk can include disaster exposure, emergency response and other concerns that may affect daily life.

We add public risk signals such as flood, storm, heat, wildfire and emergency context where those records are available.

Sources: FEMA, NOAA, ThinkHazard, INFORM, local emergency records and public safety records.

For international places, stability gives extra context about whether a country or region may carry broader risk.

We use country and regional stability measures as background context, especially when city level safety records are thin.

Sources: World Bank, UN records, INFORM and public country risk records.

Summer heat shows how hot the warm season can feel. This matters for comfort, activity, cooling costs and health.

We read warm season temperature patterns and give more comfort to places where heat is less extreme and more manageable.

Sources: NASA POWER, Open Meteo, NOAA and public weather records.

Winter comfort shows whether a place is mild, cold, or somewhere in between during the cooler months.

We read cool season temperatures and give more comfort to places with milder winter conditions.

Sources: NASA POWER, Open Meteo, NOAA and public weather records.

Air quality adds context about pollution or smoke that can affect health and outdoor time.

We compare air quality readings and public pollution records. Cleaner, more consistent air improves the climate signal.

Sources: AQICN, EPA, OpenAQ and public air quality records.

Storms and seasonal risk remind you that good weather averages do not remove hurricane, wildfire, flood, or heat wave concerns.

We add public hazard records to the climate picture so seasonal risk is visible alongside average weather.

Sources: NOAA, FEMA, ThinkHazard, NASA POWER and public climate records.

Walkability shows whether errands, parks, food and local services may be reachable without driving everywhere.

We look at nearby amenities, street and map data and local access signals to estimate how practical daily movement may be without driving for everything.

Sources: OpenStreetMap, public amenity records, transit records and local map data.

Transit and errands show whether daily routines may be easier for people who want less car dependence.

We combine transit availability with nearby everyday amenities such as groceries, parks, restaurants and local services.

Sources: OpenStreetMap, TransitFeeds, local transit agencies and public city records.

Internet adds practical context for staying connected, working part time, calling family and using online services.

We compare broadband and speed signals where available, then use regional records when a city has limited direct data.

Sources: M Lab, public broadband records and local internet records where available.

Recreation looks at parks, restaurants, local culture and nearby activities that can make a place feel more alive.

We count and compare recreation and amenity signals around the city, then treat them as one part of the broader lifestyle picture.

Sources: OpenStreetMap, public amenity records, local recreation records and city records.