Full Data Package
Full Data Package
Full Package Bundle (Includes All Tiers)
Tier 1a: November 2018 election results and turnout
Maps and graphic visualizations of the results of the most recent San Francisco election, including all candidates and measures on the City/County ballot and selected state candidates and propositions. Turnout maps and historic comparisons by election top-line.
Tier 2a: 2012-2018 Historical election results and turnout
Maps and graphic visualizations of the results of San Francisco elections over the past six years, including all candidates and measures on the City/County ballot and selected state candidates and propositions. Turnout maps and historic comparisons by election top-line. Past years are added on a regular basis; we aim to include 1995 to present by Summer 2019.
Tier 2b: 2019 Values Affinity Explorer
With so many ballot measures to consider, we have aggregated them according to a core set of San Francisco values: conservative, urbanist, progressive, and regulatory. Explore how San Franciscans have voted previously on topics like transit, land use, tenant protections, and policy.
Tier 2c: 2012-2018 Historical Turnout Explorer
Get deeper into the data and look at maps of late reports, turnout comparisons between elections with similar top-lines, and how the vote-by-mail fraction has changed with time.
Tier 2d: 2018 Demographic Explorer
Compare recent elections results with census-based demographic information to understand how different constituencies vote on candidates and issues.
Tier 2e: 2019 Machine Learning Explorer
Based on years of elections data, our advanced machine-learning algorithms have uncovered voting affinity clusters across the City and County of San Francisco. Explore these clusters with our demographic overlay to gain deeper insight into how different constituencies vote.
Tier 2f: 2016-2018 Ranked Choice Explorer
San Francisco’s unusual ranked-choice system is an underutilized resource of elections data and analysis. Explore recent elections round-by-round and see how the elimination of candidates benefits continuing candidates in a map-based explorer.