UPDATED JULY 2026

13 years of off-leash enforcement in Seattle: rising cost, falling output.

Seattle Animal Control's records cover 13 years of off-leash (“Dog Loose in Park,” DLP) enforcement. Citation output peaked in 2018, fell sharply during the COVID period, and has not recovered. The program's cost per published citation has risen. Across the full record, the available data does not show the program reducing violations — first-time offenders remain the overwhelming majority of citations every year. The 2026 staffing increase — the city finally hiring into the three-officer level it approved in 2023, not a new program — is proceeding without a published evaluation of the 2016 expansion's results.

First — the cost and staffing in plain terms.

The Seattle Park District approved funding for up to three park-patrol officers back in 2023 — a maximum of $454,652/year, re-priced to $528,279 in 2026 for normal wage growth. That ceiling has never been fully spent: as of April 2026 only one of the three positions was filled — the long-standing officer — with the two added in 2023 still being hired. The agreement bills labor on hours actually worked, so the city pays for officers actually on duty, not the approved maximum; and even the one filled officer splits time with other animal-control work (parks were about 33% of these officers’ calls for service in 2021).

So wherever this page shows the program’s cost “rising,” it means the city is finally hiring into positions approved years ago (plus raises) — not launching a new, larger program. The short version: approved in 2023; being staffed now. (Each officer also patrols with an SPR-side partner — net-new Maintenance Laborers under the 2023 plan, but existing park rangers under the 2026 MOA, so that pairing adds little if any net staffing; SPR doesn’t publish its cost — records request pending.)

Dog Loose in Park citations, 2014–2026
7,015
“Dog Loose in Park” (DLP) is Seattle’s off-leash violation; all offense levels, both records requests. src
First-time offenders, every year
84–96%
Share of citations that are 1st offenses. The mix never shifted toward repeat offenders.
2025 citations vs the 2018 peak
−80%
Output peaked at 1,276 in 2018 and never recovered: even 2024, the strongest year since, reached only 447 (35% of peak), and 2025 fell to 267.
What this page found
  • Output fell and never recovered. Off-leash (“Dog Loose in Park”) citations peaked at 1,276 in 2018; the best year since COVID (2024) reached 447 — about a third of peak. ↓ Finding 1
  • Cost per citation keeps rising. Fee revenue ($351,099 over 13 years) has covered only ~11% of the program’s ~$3.30M cost; the cost per published citation ran $229 in 2018 and $654 in 2024. ↓ Finding 1
  • The city funded three officers; only one is filled. The Park District funded three Animal Control Officers in 2023 ($454,652/yr, re-priced to $528,279 in 2026), but as of April 2026 only the original position was filled — the two added were still being hired. ↓ Finding 1
  • Officers can’t compel ID, so most contacts end in a warning — which caps citation output no matter how many officers patrol. ↓ Finding 1
  • Citations cluster where there’s no nearby legal off-leash area, and residents now file about 11 complaints for every citation. ↓ Findings 3–4
  • This measures enforcement activity, not whether violations fell. SPR has published no evaluation of the program’s effect on behavior. ↓ what’s not measured

Finding 01Fewer citations each year, and a rising cost per citation.

Measured against the staffing that actually existed — roughly one officer throughout the record, since the positions funded in 2023 stayed largely unfilled — citation output has fallen well below its 2018 peak, so the program’s cost per published citation has risen: the same one-officer cost spread over far fewer citations. The line below is that ratio (annual program cost ÷ that year’s citations), not the price of writing one ticket; and because the work is defined as primarily educational, citations are only one output among several (warnings, contacts, deterrent presence). The city’s 2023 decision to fund three officers — and what it will cost as those positions finally fill — is the second half of this finding, below.

DLP citations vs. program cost per published citation, 2014–2025
Green bars (left axis): DLP citations per year, 2014–2025. Orange line (right axis): annual Finance & Administrative Services (FAS) + Facilities Maintenance Worker (FMW) program cost ÷ that year's citations. The program cost-per-citation line begins in 2016 — the first year with a documented cost basis (the April 2016 MOA) — because pre-2016 part-time staffing has no separately documented cost. COVID period shaded. The line stops at 2025 because 2026 is a partial year (see the year-by-year arc below). All dollars nominal.
Citations: enforcement-citations.csv · FAS cost: 2021 MOA Attachment A ($152,399/yr per ACO II; the 2023 MOA funds three at $454,652/yr — this line uses attributable full-time equivalent (FTE), see cost footnote) · FMW pairing ~$140,000/yr (author estimate, documented in enforcement-year-metrics.csv)
Observation

Across 2014–2026, fee revenue ($351,099 cumulative) covered roughly 11% of the program’s estimated $3.30M cost. Cost per published citation was lowest in the peak-output years ($229 in 2018) and highest in the trough ($1,730 in 2022); even 2024’s partial recovery to 447 citations leaves it at $654, nearly triple the 2018 figure. Because this ratio is measured against the program as actually staffed (~one officer), the rise reflects falling output — not money spent on officers who were never hired. What the 2023 funding decision means for actual cost going forward is detailed just below.

On cost recovery Public-safety programs are not generally expected to pay for themselves through fees — police patrols, fire response, and park rangers all run at a net cost by design, and that is a legitimate use of public money. Cost recovery is included here as one measurable input, not as a standard the program is failing to meet. The question this page raises is narrower: the program's cost is rising while its measurable output falls and its offense mix shows no shift away from first-time violations — and that combination is worth examining before doubling the program's size. Policy recommendations are on the opinion page; this page stays with the data.

The arc over time, and what the city funds vs. what reaches enforcement

COVID was a clean break in this series, so the story that matters now is what happened after it. Before COVID, the 2016 officer team drove citations to a 2018 peak; since 2021 output has stayed low and flat — and the 2023 approval to fund three officers (not a tripling of actual staffing — see the cost note above) did not change that. The chart marks 2027–2028 as an outlook zone with no numeric projection.

Annual DLP citations, 2014–2026
Orange bars: actual DLP citations. 2026 (lighter) is partial-year through April 17; the dashed marker shows its annualized full-year equivalent (~222). The shaded zone at right marks 2027–2028: neither prior staffing increase produced sustained output growth, so the page shows no numeric projection. COVID period shaded.
Source: enforcement-citations.csv · staffing baselines: 2016 MOA, 2021 MOA, 2023 MOA, Axios Seattle April 2026
Observation

Read the two eras separately. Before COVID, the 2016 officer team drove citations from 183 (2014) to a 1,276 peak (2018). COVID was the break — 2020 fell to 393 (−67% from 2019). Since then is the live story: output has stayed low and flat, with 2022–2025 at 169, 248, 447, and 267 — at or below the old single-officer years — even though the city approved tripling the officer corps in 2023. The approved funding rose; citations did not, and (per the cost note above) neither did actual staffing. So this page makes no 2027–28 projection. For scale: Seattle dog-license issuance fell about 21% from 2014 to 2025 (PRR C264029) while citations fell roughly 80% from peak. One documented reason output stays low regardless of patrol effort is below: officers can’t compel identification, so a contact that yields no name ends in a warning, not a citation.

Why citation output can fall while patrols continue.

Animal Control Officers are not police: they cannot compel identification from someone who refuses, and cannot detain — and a name is required to write an infraction. By Finance & Administrative Services’ own September 2022 report to Council, Seattle Police “recently… have been unable to assist” in obtaining IDs, so officers now “issue verbal warnings on all first contacts.” When refusing to identify yourself carries no consequence — and residents share patrol locations online — fewer contacts become citations regardless of how many dogs are off-leash. Full quotes and source →

What the Park District funds vs. what reaches off-leash enforcement, 2016–2026
What the Park District pays for the Animal Control Officers assigned to parks (billed, FAS-side dollars). Navy = the ~1-officer cost this page ties to off-leash citations; light blue (2023+) = the extra capacity the 2023 agreement funded by tripling the program to three officers. How much of that extra actually reaches park patrols isn’t public — it would show in the monthly patrol reports the agreement requires SPR to file, which are public records that have now been requested, response pending. (Billed officer cost only; the maintenance worker paired with each officer is excluded, so every dollar shown is documented.)
Funded: 2026 MOA ($528,279/yr, 3 ACO II), 2023 MOA ($454,652/yr) and 2021 MOA ($152,399/yr, 1 ACO II) · attributable floor & method: enforcement-year-metrics.csv
Observation

Through 2022 the funded program and the actual program were the same: one officer. In 2023 the city tripled the funding authorization ($152,399 → $454,652/yr; $528,279 under the 2026 MOA) — but the staffing didn’t follow. As of April 2026 two of the three positions were still being hired, leaving one filled (Axios), and billing is on hours actually worked — so the light band (roughly $300,000–$376,000/yr) is approved funding the record doesn’t show reaching park patrols, not money the city has spent. The honest reading isn’t “three officers produced nothing” — it’s that the added officers largely don’t exist yet. The forward question: as the city hires into them, actual spend climbs toward $528,279/yr — but because the cap on citations is officer authority (they can’t compel identification), not headcount, that added spend is unlikely to raise output in step. This view shows officer dollars only; each also patrols with an SPR-side partner — a net-new Facilities Maintenance Worker under the 2023 MOA, an existing Park Ranger under the 2026 — carried separately (see opinion O1).

Finding 02No measurable shift away from first-time offenders.

If enforcement were deterring repeat violations, the share of citations going to people cited before would be expected to grow over time as a stable population of repeat offenders accumulates contacts. Instead, first-time offenses have stayed the overwhelming majority every year — and their share has risen, not fallen.

First-offense share of DLP citations, 2014–2026
Share of each year's DLP citations that are first offenses (vs. 2nd, 3rd, or 4th+ under Seattle Municipal Code (SMC) 18.12.080's escalation schedule). COVID period shaded. 2026 partial-year.
Source: offense levels in enforcement-citations.csv · SMC 18.12.080(A)
Observation

First offenses have ranged from about 84% to 96% of DLP citations in every year of the record, rising over time rather than falling. One reading is that enforcement is deterring repeat offenses. A second reading is that lower total citation volume mechanically reduces the chance of an officer encountering the same person twice, which would push the first-offense share up regardless of behavior. The two cannot be separated here: neither PRR includes owner identifiers that would let us track individuals across citations. What the data does show is that the offense mix never shifted toward repeat offenders — the pattern is consistent with a program issuing fresh first-time contacts year after year, not one drawing down a shrinking pool of repeat violators. Seattle Parks & Recreation's (SPR) own 2015 owner survey found about 38% of dog owners admit illegal off-leash use (39% local parks and 38% large parks weekly to monthly, 36% trails); no follow-up survey has been published (see what SPR has not measured).

A key limit.

The citation records carry no owner identity — partly by privacy design, partly because officers usually can’t obtain identification (Finding 1). “First offense” is only what the officer recorded; we cannot follow individuals across years. So we can describe the offense mix the city recorded, but cannot tell genuine deterrence apart from simply not catching the same person twice. Why several explanations fit →

Citations per officer-FTE per year

A productivity view of the same record: DLP citations divided by the total ACO+FMW FTE attributable to off-leash enforcement. Shown from 2016 on (the MOA-documented full-team era); pre-2016 part-time FTE is imputed and not directly comparable. Among these years, per-FTE output peaked at 638 in 2018 and fell to 224 by 2024 — about a third of peak. 2026 partial-year excluded.

Finding 03Where citations happen — and where residents complain.

Citations cluster in a handful of large, heavily-used parks — mostly ones without a nearby legal off-leash area — while resident complaints concentrate somewhere else entirely. This section maps both: the citation hotspots and their pre/post-COVID persistence, the half-mile walkshed gaps, and the full per-park table. Throughout, the records show where citations were issued, not why officers were there.

Where off-leash citations were issued, 2014–2026
Circles sized by DLP citation count at the cited park. Green dots mark all 14 existing off-leash areas (OLAs). Hover a marker for details.
Source: enforcement-citations.csv · coordinates park-coordinates.csv (approximate) · tiles: CARTO / OpenStreetMap
Top 20 cited parks: pre-COVID (2014–2019) vs post-COVID (2020–2026)
Orange bars: 2014–2019 DLP citations. Navy bars: 2020–2026 DLP citations. Parks ordered by combined total.
Observation

Citations cluster where designated OLAs aren't. Discovery, Volunteer, Cal Anderson, Lincoln, Martha Washington, Wallingford Playfield, Seward, and Maple Leaf Reservoir all rank in the top 20 and none has a dedicated OLA on site. Magnuson and Westcrest appear as hotspots because the non-OLA portions of those large host parks are used off-leash. The top 10 parks accounted for 46% of citations before COVID and 40% after — concentration eased somewhat but the same handful of parks still dominate. The data records where citations were issued, not why officers were there, so it cannot establish whether a given park is a hotspot because of higher violation rates or because patrols were directed to it. One post-COVID shift is worth noting without over-reading: West Queen Anne Playfield is the only top-10 pre-COVID park whose citation volume did not fall with the citywide decline — consistent with enforcement attention following community complaints in that area, though the data alone cannot confirm the cause.

Complaints by park type. The 2024–26 complaint data (Finding 4) sharpens this: destination and natural-area parks (Discovery, Woodland, Golden Gardens, Magnuson) stay roughly balanced between complaints and citations — the ones Animal Control patrols — while dense-neighborhood playfields run 5:1 to 100:1 complaints-over-citations (West Queen Anne Playfield 255 complaints, Maple Leaf Reservoir 147, Beacon Hill 108). Where officers go and where neighbors object are structurally different places.

Citation density vs. walkable off-leash coverage

Overlaying citation density on the half-mile walksheds around every existing OLA (the Trust for Public Land 10-minute-walk standard) shows citation activity concentrating where there is no walkable OLA.

Citation density and 0.5-mile OLA walksheds
Heat = DLP citation density (a smoothed heat surface across geocoded park locations, weighted by citation count). Green rings = 0.5-mile walksheds around each of the 14 OLAs. Green dots = OLA locations. Grey dots = neighborhood reference points.
Observation

Citation density concentrates outside OLA walksheds. North of the Ship Canal — Wallingford, Ravenna, Maple Leaf, Green Lake, Laurelhurst — shows heavy density with little walkable OLA coverage. The Queen Anne / Magnolia core has Kinnear (0.124 acre) and Magnolia Manor (0.48 acre), both below the AKC one-acre minimum, and a citation band through Discovery, West Queen Anne Playfield, and Smith Cove. Lincoln Park (West Seattle) carries 173 cumulative citations; the nearest OLA, Westcrest, is 3.4 miles away.

The full top-20 table

RankParkNeighborhoodCitations 2014–2026Pre-COVIDPost-COVIDComplaints 2024–26OLA?

New column. Citation columns span 2014–2026; the complaint column is 2024–26 only (the complaint record begins in 2024), so the two are not the same window — read the column for the within-park contrast between enforcement and resident reporting, not as a like-for-like total. Source: complaints-vs-citations-by-park.csv (PRR C263990).

Finding 04More complaints, fewer citations — and no link between the two.

In 2025, the first full year of the complaint record, residents filed about 3,010 “Nuisance Dogs in a Park” reports through Find It Fix It — roughly 11 for every dog-loose-in-park citation the city issued that year. As complaints rose, citations fell, and after mid-2025 citations went nearly silent while complaints held steady. Complaints are resident-reported — they track who files, not only where dogs run off-leash — so they are read here as a behavior proxy, not an incident count. This is the independent proxy the data-gap note below had flagged as pending.

Resident complaints vs. dog-loose-in-park citations, 2024–2026
Top panel (orange bars): monthly Find It Fix It complaints. Bottom panel (navy line): monthly DLP citations, same months. Two stacked panels on one shared timeline — deliberately not a dual-axis chart, which would imply a correlation the data does not support.

Monthly resident complaints

Monthly dog-loose-in-park citations

Complaints: Open Data 5ngg-rpne (PRR C263990) · citations: enforcement-citations.csv, DLP only · monthly series: complaints-citations-monthly.csv
Observation

Month to month, complaint volume and citation volume move independently — a heavy month for complaints is no more (and no less) likely to be a heavy month for citations. (For the statistically inclined: the correlation is r = 0.13, near zero on a scale where 1.0 would mean the two rise and fall in lockstep and 0 means no link at all.) Complaints roughly tripled from 2024 to 2025 while citations fell about 40% (447 to 267), then dropped to near-zero for the second half of 2025. With Animal Control at roughly one full-time officer, citation output cannot scale to complaint volume; the two systems operate in parallel, not in sequence. This neither proves nor disproves that complaints lead to enforcement — the records show citation volume, not what happened after any individual complaint.

What SPR has not measured

Citation counts measure enforcement activity, not underlying violation rates. A drop in citations could mean fewer violations or fewer patrols. SPR's 2015 People, Dogs and Parks owner survey found about 38% of dog owners admit illegal off-leash use; no follow-up survey has been published. The 2026 staffing expansion is being implemented without a publicly-released review of the 2016 expansion's effect on behavior. Pending public-records requests that would help close these gaps:

  • SPR program evaluation, deployment logs, and 2026 expansion decision record (PRR #8, filed; SPR responding)
  • Find-It-Fix-It “dog in a park” complaints by year — an independent behavior proxyreceived (PRR C263990); see Finding 4 above. Still open: the free-text “General Inquiry – Animal Shelter” export, and the cause of the mid-2025 citation drop-off.
  • Current SPR/SAS MOA and budget lines for the expanded staffingreceived (PRR C265341 and C265589): the 2023 Park District MOA funds three ACO IIs at $454,652/yr, re-priced to $528,279/yr by the 2026 MOA; see the authority-gap note under Finding 1 and the cost footnote below. Still open: the MOA §5 monthly parks-data reports (PRR #9, filed; SPR responding), which would show actual filled FTE by year and per-park patrol activity.

Until these land, this page can describe enforcement output and cost but cannot prove or disprove that the program changed behavior. Policy implications are discussed on the opinion page.

Data notes

About this data

Citations on this page run from January 1, 2014 through April 17, 2026, combining two Seattle public-records requests (PRRs) to cover the full period: C049204 for 2014–2018 and C263949 for 2019 through April 17, 2026. Headline figures use “Dog Loose in Park” (DLP) citations — Seattle's off-leash violation under the Seattle Municipal Code (SMC) 18.12.080(A) — so every year is measured the same way. Where 2019 appears in both requests, the fuller C263949 record is used. 2026 is a partial year (through April 17) and is marked as such on every chart. New: Finding 4 and the complaint figures in Finding 3 add resident “Nuisance Dogs in a Park” complaints (Find It Fix It, 2024–26, PRR C263990) as a separate, resident-reported read on off-leash activity — reports filed, not verified incidents. Findings 02 and 03 also cite Seattle dog-license counts (PRR C264029) for scale.

Source & method

Citation records come from two Seattle public records requests. C049204 (filed 2019-08-29, produced 2019-10-15 by SPR) covers Dog Loose in Park citations 2014-01-01 through 2019-10-15. C263949 (filed 2026-04-17, produced May 2026 by Seattle FAS) covers all parks-related violations 2019-01-01 through 2026-04-17. Raw files and documenting READMEs are at data/prr-responses/. The consolidated CSV (enforcement-citations.csv) is built by build_enforcement_datasets.py and checked by verify_enforcement_data.py.

Why DLP-only, and the 2019 overlap

This page restricts to Dog Loose in Park citations across both requests so each year is measured identically. C263949's broader categories (license, scoop, permit-at-large, etc. — 517 additional post-2019 rows) stay in the consolidated CSV under violation_category but are not in the year series. Both PRRs contain 2019: C049204 ends 2019-10-15 (partial), C263949 covers the full year. The build uses C263949's full-year 2019 as authoritative, so the rebuilt 2019 figure (1,181 DLP) is higher than the legacy site's 1,029 (which was Jan–Oct only).

2026 is a partial year

C263949 ends April 17, 2026 — day 107 of the year, about 29%. Charts mark 2026 as partial. Where a full-year comparison is needed, the annualized equivalent (YTD ÷ 0.293) is shown as a dashed marker, not treated as actual. The cost-per-citation and per-FTE lines stop at 2025 to avoid the partial-year denominator inflating the most recent point.

Headcount & cost assumptions

This page separates two numbers that are easy to conflate. Funded ACO headcount rose from one Animal Control Officer II (2016–2022, per the 2016 and 2021 MOAs) to three from 2023, when the Seattle Park District Board funded two additional positions. The 2023 MOA (Project PRF1602) billed SPR $454,652/yr for three FTEs — $151,551 each. The 2026 MOA (signed May 2026) re-prices the same three positions to $528,279/yr ($176,093 each; top rate $44.79→$54.46/hr). Per officer the cost tracks wages, not scope ($152,399 in 2021 → $151,551 in 2023 → $176,093 in 2026).

Lump sum or pay-as-used? The $528,279 is a maximum, not a lump sum: the 2026 MOA bills variable labor (about $420,000 of the total) on hours actually worked and fixed costs (about $108,000) regardless of hours, so positions that go unfilled or unworked don’t draw the variable share. The 2023 MOA, by contrast, billed a flat 240 hours per pay period (three full FTE) with no actual-hours qualifier. What SPR was actually invoiced and paid — especially in 2023–2025 while positions were vacant — is not stated in either MOA; the §7 monthly cost-calculation spreadsheets would show it (requested via PRR #9). Each ACO patrols with an SPR-side partner — a Facilities Maintenance Worker under the 2023 MOA, an existing Park Ranger under the 2026 MOA — carried separately on SPR’s books (SPR publishes no per-partner off-leash line; the 2023 budget book’s Park Safety Program package implies roughly $73,000 per added maintenance laborer, below the earlier ~$140,000 author estimate).

The cost-per-citation and per-officer lines above deliberately do not use that funded headcount as the denominator. They use the off-leash-attributable FTE — held at roughly 0.5 ACO (2014–2015, imputed from PRR context), 0.75 ACO + 0.75 FMW (2016 transition), and ~1.0 ACO + 1.0 FMW from 2017 on ($292,399/yr combined) — because parks patrols are a minority of these officers’ duties (33% of Field Services calls for service in 2021) and citation output never corroborated a three-fold field deployment. Tripling the denominator on funded headcount alone would overstate the enforcement actually aimed at off-leash use. The funded-vs-deployed gap would be settled by the MOA’s §5 monthly parks-data reports (requested via PRR #9; not yet released). The 2023 MOA was received via PRR C265341; pre-2016 and 2016-transition FTE remain the softest assumptions here.

Why citation output can fall while patrols continue (full detail)

An Animal Control Officer II holds a limited “special commission” that lets them issue citations, serve warrants, testify in court, retrieve state licensing records, and enter posted property — but it does not let them compel identification from someone who refuses, and neither ACOs nor their paired SPR partner (a Facilities Maintenance Worker under the 2023 MOA, an existing Park Ranger under the 2026 MOA, neither of them sworn police) can detain. Because a name is required to write an infraction, an owner who declines to identify themselves can lawfully be given only a verbal warning.

In its September 2022 report to the City Council, Finance & Administrative Services (FAS) stated the position directly: “only sworn officers have the sufficient level of commission to retrieve identification from resistant residents,” that Seattle Police “have historically assisted ACO IIs in obtaining identification” but “recently… have been unable to assist,” and that absent SPD help “SAS will continue to be unable to issue citations for leash law violations from people who refuse to show identification.” FAS reported it had “adjusted its approach… by issuing verbal warnings on all first contacts,” and that residents “regularly ignore officers’ requests for identification or simply walk away or flee when contacted” and use neighborhood social-media groups to share patrol locations. The records do not isolate what caused the post-2020 decline, but this is a city-documented mechanism by which patrols can be present and citation output still fall. Source: FAS response to SLI FAS-003-B-001, Sept 30 2022, pp. 3–4 (PRR C265341).

Why the repeat-offender share hasn’t grown — several explanations fit

Two readings sit on top of each other and the records can’t pull them apart: the citation may genuinely change behavior, so few owners reach a second offense — or low volume simply means an officer rarely meets the same person twice. Two mechanical effects push the first-offense share up regardless of behavior: as citations fell after COVID, repeat encounters fell with them; and the crowd keeps refreshing, with new puppies, residents, and visitors arriving constantly. The avoidance and one-officer-against-a-large-crowd dynamics that suppress repeat citations are the same ones that hold total output down (see Finding 1). Any claim that enforcement is, or is not, “working” on repeat behavior would read more into this dataset than it can support.

Location quality

Of the 7,015 DLP citations, about 89% are confidently attributable to a named park (top contributors: Discovery 564, Magnuson 367, Volunteer 328, Woodland 291, Golden Gardens 227). The rest are street-address citations (geocoded separately, used in the walkshed heatmap in Finding 3) or blank locations (excluded from spatial analysis). Park-name canonicalization is documented in METHODOLOGY.md.