Top 10 US Metros by Composite Life Score
PlainCompare composite life score ranks US metropolitan statistical areas across cost, wages, crime, schools, childcare, and environment sub-scores, refreshed automatically as new source data is published.
Research period:
Research question
Across the US metropolitan statistical areas in the PlainCompare composite, which carry the highest combined life scores, and how do their underlying sub-scores compare to the cross-metro distribution?
Methodology
This ranking reflects the data currently in our database, sourced from the agency referenced in the citation below and updated automatically as new filings are processed.
Coverage and exclusions: the source agency occasionally suppresses values for confidentiality, small sample size, or quality control, and suppressed rows are excluded from this ranking rather than shown as zero. If the agency later revises a figure, the revised value replaces the old one automatically the next time our data is refreshed.
Data provenance: we pull each release as it becomes available and normalize it into our database; a later release simply supersedes the one before it, so readers never see a mix of old and new figures on the same page.
Comparability across years: when the source agency revises its release schedule, definitions, or coverage, we note the affected years on the methodology page so readers can compare like-with-like rather than across a changed measurement.
Editorial governance: a named editor reviews every ranking page before publication (see the byline above). If an entity disputes a figure attributed to it, corrections are checked against the official source record before any change is made.
Every number on this page can be traced back to its source by following the entity links and the citation below, so independent verification never requires anything beyond the original public source.
See the methodology page for the complete ETL pipeline, source vintage, and column lineage.
Top 10 US Metros by Composite Life Score
Live data: reflects the current dataset
The ranked top 10
Every row below reflects the current 10-record dataset. Reload the page after new data is processed to see the latest values.
| # | Metro | Composite | Grade | Cost | Wages | Schools |
|---|---|---|---|---|---|---|
| 1 | Wildwood-The Villages, FL | 71.6 | B- | 97.668 | 46.632 | 88.083 |
| 2 | Waterloo-Cedar Falls, IA | 71.5 | B- | 91.192 | 44.56 | 45.596 |
| 3 | Paducah, KY-IL | 70 | C+ | 93.782 | 21.503 | 53.109 |
| 4 | Winston-Salem, NC | 69.8 | C+ | 62.435 | 36.01 | 62.435 |
| 5 | St. Cloud, MN | 69.5 | C+ | 89.637 | 74.87 | 54.404 |
| 6 | Wheeling, WV-OH | 68.2 | C+ | 85.233 | 21.244 | 22.798 |
| 7 | Sioux City, IA-NE-SD | 66.7 | C+ | 92.746 | 36.269 | 45.337 |
| 8 | Greenville, NC | 66.6 | C+ | 84.456 | 38.342 | 59.845 |
| 9 | Toledo, OH | 66.3 | C+ | 67.098 | 53.109 | 87.824 |
| 10 | Tuscaloosa, AL | 66.3 | C+ | 88.083 | 30.829 | 72.798 |
Source: U.S. Federal Statistical System, BLS Occupational Employment Wage Statistics and complementary BEA RPP and FBI UCR releases. Values reflect the current dataset, refreshed as new filings are processed. U.S. Federal Statistical System, BLS Occupational Employment Wage Statistics and complementary BEA RPP and FBI UCR releases. Values reflect the current dataset, refreshed as new filings are processed.
Findings
Top entity in the ranking
The top-ranked record in this dataset is Wildwood-The Villages, FL, with a value of 71.6 on the Composite column. The full top-10 set is rendered in the table above. Every value comes directly from the current dataset; no number is hardcoded into this page. When the source agency publishes a revision, the ranking and the prose around it update automatically.
Distribution shape
The gap between the top-ranked record (71.6) and the 10th-ranked record (66.3) characterizes how concentrated the top of the distribution is. Where the top value is many multiples of the median value of the visible set, the population is highly concentrated, a small number of entities accumulate the bulk of the measured quantity. Where the top and bottom of the visible set are close together, the distribution is relatively flat across the top end. The full distribution beyond this top-10 cut is summarized in the aggregate context section below and explored in the linked entity profiles.
Aggregate context
Across the full population behind this ranking, here are the summary statistics: how many records exist in total, the sum of the ranking metric across all qualifying records, and the mean per-record value. The methodology page documents the exact filter applied (records with null or zero values on the ranking metric are excluded). This aggregate row is computed from the same dataset that powers the ranking above.
Source provenance
The records in this ranking originate from U.S. Federal Statistical System, specifically the BLS Occupational Employment Wage Statistics and complementary BEA RPP and FBI UCR releases. PlainCompare ingests the source vintage published by the agency and keeps this page current, there is no static export carrying stale numbers, and a newly published dataset is reflected here within hours. The methodology page documents the source URL, the vintage date, and the steps applied to prepare the data.
Why this ranking matters
Rankings like this one let a reader scan a population quickly and identify outliers, concentrations, and patterns that warrant deeper investigation. The detail pages linked from each entity in the table above give the full per-entity context: time-series history where available, related metrics from adjacent tables, and links onward to the underlying source records. The methodology page explains how an entity earns inclusion in the dataset and how the ranking column is computed at the source.
What this analysis cannot tell us
PlainCompare's composite life score weights its component dimensions per a documented methodology in /methodology/. The composite reflects a particular weighting choice and is not intended as a single ground-truth livability metric; alternative weightings would produce different rankings. Sub-scores draw from federal sources released on different cadences, BLS OES wages refresh annually in May, BEA price parities annually in December, FBI UCR crime data annually in September after state validations, meaning the composite mixes vintages within a single year. Metros under 170,000 population are excluded from MSA coverage and not represented in the table. Some metro sub-scores carry suppressed cells where the underlying agency suppressed data for confidentiality (typically small-N wage cells or low-incident-volume crime cells); the table represents these as NULL rather than zero. Composite scores standardize sub-scores to comparable scales, but the standardization choice (z-score, percentile rank, min-max scaling) materially shifts the ranking shape, readers comparing PlainCompare's composite to other livability indices should examine the standardization rule directly.
Secondary cut from the same source
Top 10 metros by BLS-derived wage score, a single component of the composite
Sources
- U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics - https://www.bls.gov/oes/
- U.S. Bureau of Economic Analysis, Regional Price Parities - https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area
- Federal Bureau of Investigation, Uniform Crime Reporting Program - https://www.fbi.gov/services/cjis/ucr