A precinct-level concentration map of all 36 City of Santa Clara precincts, built for one practical question: where do you site a campaign event so the people you want in the room both live nearby and turn out to vote? Shade the city by any community — Chinese, Vietnamese, Indian, Filipino, Korean, Japanese, or Hispanic origin — or by age band, party, or Prop 50 turnout. Then add a second layer as a bubble overlay to combine two at once (say, Vietnamese share × turnout), or switch to the plain "total voters" view for raw registration. Click any precinct for its full breakdown.
Santa Clara has no "big" precinct — it has 36 even ones, each with a different community living in it. So the question isn't which precincts are biggest, it's where each community clusters.
Unlike a district race that collapses onto a handful of precincts, Santa Clara's 60,348 registered voters spread evenly — the largest precinct holds just 5.2% of the city, and it takes 18 of the 36 precincts to reach half the electorate. A map shaded by total size would be nearly flat and tell you nothing. The value is in the community layers: Chinese-origin registration runs ~9% citywide but tops 25% in specific northwest precincts; Vietnamese share peaks above 10% on the east side against a 4.6% base; Hispanic share reaches 29% in individual precincts versus 16% citywide. Pair any of those with the Prop 50 turnout layer as a bubble overlay and the event-siting answer falls out directly: the precinct where your target community is both concentrated and votes. That's a venue, not a spreadsheet.
The universe is all 36 voter precincts in the City of Santa Clara, on the 2024 (g24) precinct geometry. Registration is a current extract from the California Statewide Database (SWDB) g24 file — 60,348 registered voters in total. Each precinct carries a full demographic breakdown: party (the city runs 51% Democratic, 28% No Party Preference, 16% Republican), age band (29% are 18–34, 38% are 55+), and community of origin.
Community shares are estimated from a surname-and-given-name model applied to the registered-voter file, broken out into Chinese, Vietnamese, Indian, Filipino, Korean, Japanese, and Hispanic origin. These are modeled estimates, not self-reported identity — useful for finding where a community concentrates relative to the citywide baseline, which is exactly what event siting needs. Citywide they run 16% Hispanic, 9% Chinese, 7% Indian, 5% Vietnamese, but the precinct-level spread is what the map surfaces.
The turnout layer is each precinct's participation in Prop 50 (the November 2025 special election), a recent, high-salience proxy for who actually votes. A handful of precincts were renumbered in 2025; those show their nearest neighbor's rate and are flagged "est." on click rather than guessed silently. "Shade by" colors the map by one layer in quantile bins; the bubble overlay sizes a second layer on top so two signals read at once; gold rings mark the top tier of the active selection. A "None · total voters" view drops the shading and labels each precinct with its raw registration.
Every precinct is clickable. The panel reports total registration, the full community breakdown with counts, age bands, party split, and Prop 50 turnout. The dashboard is a single self-contained file — no server, no login — so it can be handed to a candidate or organizer and opened straight from a laptop.
We build precinct-by-precinct result maps and targeting dashboards for candidate campaigns, ballot-measure committees, and consultants. Most engagements start with a 20-minute scoping call.
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