Happiest Cities in America
Happiness is personal, so this tool lets you set the rules. We score 387 U.S. metros across nine conditions that research keeps tying to well-being, from affordability, commute, and jobs to health, safety, climate, culture, and education, then let you weight them yourself into a transparent 0–100 score. The four economic factors are live now; the five life-and-place factors are coming online from public data. Drag the sliders, or search your city to see where it lands.
The well-being map, county by county
The same idea at county resolution — a 0–100 score for 3,127 U.S. counties on affordability, short commutes, and home attainability. Greener is better; tap a county to open its state.
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Weight it your way
Happiness isn’t one-size-fits-all. Drag the sliders to match what you value and the ranking re-sorts instantly, or start from a preset.
Top 25 happiest U.S. metros
🌤️ Thinking of moving somewhere happier? See where your salary stretches
Remote Work Relocation →What this measures, and what it doesn’t
This is a transparent data composite, not a survey of how people feel. Big national rankings (Gallup, WalletHub) fold in dozens of self-reported metrics; we do something narrower and fully reproducible. We score every metro on a set of conditions with repeated links to well-being, each one drawn from public data, and let you decide how much each counts.
We are deliberately broadening past money and time. The four economic-friction factors (affordability, commute, jobs, broadband) are live today, and on their own they tend to crown smaller Midwest and Plains metros, since cheap housing, short commutes, and steady work cluster there. The five life-and-place factors (health, safety, climate, culture, and education) are what balance that out, and they are coming online from public data, appearing as new sliders the moment each layer lands. Until then, weight the four you see, and read the result as a map of where daily financial and time stressors are lowest, not a verdict on where anyone will be happiest.
Where the data comes from
Every number here is public, and no number is a survey of feelings or a bought “happiness” score. The economic and geographic factors come from the U.S. Census Bureau’s American Community Survey (ACS), 2023 5-year estimates, the most reliable small-area dataset in the country. The life-and-place factors come from other free federal sources (CDC, FBI, NOAA, EPA, and Census County Business Patterns), aggregated from county to metro. Everything is computed into a transparent index you could rebuild yourself from the tables and sources below.
The nine factors
Each metro gets a 0–100 sub-score on each factor by percentile-ranking it against every other metro (so higher is always better), and the headline number is a weighted blend you control with the sliders. Four factors are live now; the five marked calibrating appear as sliders as their data layers come online.
- Affordability: median household income vs. annual rent (ACS B19013, B25064). Live.
- Short commute: mean travel time to work, shorter is better (ACS B08013 ÷ B08303). Live.
- Jobs: metro unemployment rate, inverted (ACS B23025). Live.
- Broadband: share of households with a broadband subscription (ACS B28002). Live.
- Health: physical and mental health, including reported poor-mental-health days (CDC PLACES, county estimates aggregated to metro). Calibrating.
- Safety: violent and property crime rates, inverted (FBI Crime Data Explorer). Calibrating.
- Climate: mild-weather days and clean air (NOAA climate normals, EPA AQS PM2.5). Calibrating.
- Culture: arts, entertainment, and dining establishments per capita (Census County Business Patterns, NAICS 71 & 72). Calibrating.
- Education: share of adults 25+ with a bachelor’s degree or higher (ACS S1501 / B15003). Calibrating.
The county map (3,127 counties)
The county layer scores every county with data the same percentile way, using the three of those factors available at county resolution: affordability (40%), short commute (35%), and home attainability — a low home-value-to-income ratio (25%). Unemployment and broadband aren’t used at county level to avoid gaps. Connecticut follows the Census’s 2022 planning-region boundaries, mapped back to its eight legacy counties.
Method notes & refinements
Two things to know about how the blend works. The composite auto-normalizes: it divides by the weight you actually assign, so your sliders never have to sum to 100, and a metro missing a not-yet-live factor is scored on what it has rather than penalized. And three accuracy upgrades are on the build list, all reproducible from public data: moving affordability to B25071 (rent as a share of income, which avoids flattering places with wealthy homeowners and struggling renters); computing commute off B08301 so remote workers count; and standardizing factors with z-scores before rescaling, so a tiny gap and a large gap don’t move a city the same distance.
Sources
- Economic & geography: U.S. Census Bureau, American Community Survey 2023 5-Year Estimates, data.census.gov (B19013, B25064, B25077, B08013, B08303, B23025, B28002, B25071, B08301, S1501).
- Health: CDC PLACES: Local Data for Better Health, cdc.gov/places.
- Safety: FBI Crime Data Explorer, cde.ucr.cjis.gov.
- Climate & air: NOAA U.S. Climate Normals; U.S. EPA Air Quality System (AQS).
- Culture: U.S. Census Bureau, County Business Patterns (NAICS 71 & 72).
- Research basis: Stutzer & Frey (2008), Scand. J. Economics; Kahneman & Deaton (2010) and Killingsworth (2021), PNAS.
A transparent comparative index, not a survey of how people feel, and not a verdict on any place. It shows where the conditions for a good life are easiest to come by; individuals vary enormously.
Frequently asked questions
Can I set my own weights?
Yes, that is the whole point. Drag any slider and the full list re-sorts instantly. The presets (Budget-first, Raising a family, Young professional, Outdoorsy, Remote worker) are just starting points. Found a weighting you like? Hit “Copy link to these weights” and the URL carries your exact settings to anyone you send it to.
Where are health, safety, climate, culture, and education?
They are being built right now from public data: CDC PLACES for health, the FBI Crime Data Explorer for safety, NOAA and EPA for climate and air, and Census data for culture and education. Each is aggregated from county to metro and normalized exactly like the live factors, then appears here as its own slider. Until a layer lands, it shows as “calibrating” in the panel rather than as a number we can’t yet stand behind.
Why do small Midwest metros do so well by default?
Because the four factors live today are all economic-friction measures, and they cluster in the same places: housing is cheap relative to incomes, commutes are short, and work is steady. Sioux Falls, Fargo, and the Wisconsin metros score high on all four at once. Turn up commute or jobs now, or wait for the health, safety, climate, culture, and education layers, and the picture shifts.
Is this the same as Gallup or WalletHub?
No. Those use broad surveys and dozens of metrics. Ours is a smaller, fully transparent index you can reproduce from public sources, a different and complementary lens.
Does money buy happiness here?
Only indirectly, through affordability. Research finds well-being rises with income up to a comfortable level and then flattens, which is why we weight affordability rather than raw income.