Correlation

Every chart here compares precincts, not individual voters. A precinct that backed a candidate heavily and also backed a measure heavily doesn't show that the same people did both. California doesn't let counties publish ballot-level records, so precinct patterns are as close as public data gets.

: each council candidate against each measure

Bigger dot = stronger pattern. Green: the measure did better where the candidate did better. Purple: it did worse. Gray rings can't be told apart from zero at precincts. Candidates whose precincts looked alike are next to each other. Hover or tap a cell for details; click to pin it and see its precincts below.

and Measure , precinct by precinct

. Each dot is a precinct, sized by ballots cast. ; dropping any one precinct moves it between and .

Most measures line up with the council divide. The interesting ones don't.

Each row is one city measure. Right of zero: the measure did better in precincts that leaned toward the candidates at the top of that year's matrix; left of zero, toward those at the bottom. Bars are 95% ranges; hollow dots can't be told apart from zero.

Which statistic?

  • Rank (Spearman), the default, asks whether precincts that rank higher for the candidate also rank higher on the measure. It isn't thrown off by one unusual precinct or by a curved relationship, which matters with only 15–54 precincts. It counts every precinct equally, so a 60-ballot precinct weighs as much as a 4,000-ballot one.
  • Weighted by ballots (Pearson) measures a straight-line relationship and gives big precincts more say. A couple of large precincts at the extremes can pull it up, which is partly why it often looks stronger.
  • Neither is "more correct". When the two agree, and the pattern survives dropping any single precinct (shown on hover), it's solid. When they disagree, treat the pattern as unsettled.
  • With 15–18 precincts (2024 and 2026), a correlation has to be roughly ±0.5 or stronger before it can be told apart from chance.

Sources: precinct results from the LA County Registrar-Recorder/County Clerk: certified results for 2016–2024, as compiled in the Santa Monica precinct panel, and the county's latest precinct file for 2026. The council divide is, in each precinct, the average vote share of one group of council candidates who ran together minus that of the opposing group. For 2026 it is drawn from the precinct results themselves instead: the main way the candidates' precinct shares rose and fell together (the first principal component, weighted by ballots cast). Its direction is set so that candidates who ran before (Brock, Kelley, Lesley, Negrete and Torosis) sit on the same side as in their last race, so 2026 lines up with earlier years. 2026 results are not certified; they come from the county's precinct file and are updated when the county posts a new one. Candidate share = votes ÷ ballots cast in the precinct (voters could pick several candidates). Measure descriptions are short summaries of the city's ballot pages. Precinct boundaries change between elections, so years aren't compared precinct by precinct.