Jurisdiction data snapshot
An analysis of the City of San Francisco's own published citation records shows the sheer scale of parking enforcement — $130M in fines in 2024 alone — concentrated in a knowable set of repeat plates. That's exactly the reach a consented, resident-facing reminder layer is built for.
Source: DataSF Open Data · 23.9M citations since 2008 · figures below are calendar-year 2024Of the 510,971 plates cited in 2024, 208,393 received two or more citations — just 41% of plates, but responsible for 964,228 citations (76% of the total). Nearly 54,000 plates were cited five or more times. Reaching those drivers reliably is the single highest-leverage lever for on-time payment.
41% of cited plates → 76% of all citations. A consented reminder reaches the exact drivers who generate the most volume.
Chronic repeat parking behavior that today gets a mailed notice per event — easy to miss, easy to let escalate.
Street cleaning alone accounts for well over half of all citations. These are routine, high-frequency, easy-to-forget events — the sweet spot for reminders.
Note: SF publishes violation types as short codes (e.g. "STR CLEAN", "MTR OUT DT"). Labels above are expanded; the two meter codes are merged.
Citations concentrate around downtown, the Embarcadero, and a handful of corridors.
We add a consented, resident-facing reminder layer on top of the enforcement and payment systems SFMTA already runs — no change to pricing, process, or the official record.
Drivers authorize us (clear consent + DPPA permissible-use basis) to monitor citations on their plates.
They get an alert when a citation posts — with a one-tap link to SFMTA's official payment page — before it escalates.
Across 1.27M citations a year, even a small lift in on-time payment is meaningful recovered revenue and fewer escalations.
A narrow pilot reading public citation data. We never take the payment or touch the official record.
Unlike some cities, SF's public dataset does not include a payment-status field, so we can't quantify an unpaid dollar figure here (see the Norfolk report, where $2.88M unpaid is measurable). What SF's data does show is scale and repeat-offender concentration — exactly the reach a notification layer delivers.
Figures are computed directly from the City of San Francisco's published SFMTA Parking Citations
open dataset (DataSF resource ab4h-6ztd), which contains 23.9M citations since 2008.
Headline numbers use calendar year 2024 (1,266,807 citations). Dollar figures use the
fine_amount field; volume and repeat-plate figures are aggregated across 2024. SF does not publish
a payment-status field. This is a point-in-time snapshot of public records to illustrate scale — not a claim
about any individual driver. Data: data.sfgov.org.
Tell us the city, county, or agency and we'll build the same snapshot from your data and share a scoped, no-cost pilot outline.