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Every reported crash in Fairfield, on one page

Fairfield Police have reported 12,199 crashes between 2017 and today. This page lays out the patterns and nothing more: how many, how serious, when they happen, and where. No arguments, just the record. If you want to know whether the new speed cameras actually target these crashes, the camera report picks that up below.

Data source
12,199
crashes reported, 2017–2026 YTD
1,320
per year, on average
23.6%
involved an injury, and 11 were fatal
Fri
busiest day · peaks around 3 PM

How many, and how serious

Most reported crashes are property damage only. From 2017 through 2026 the department counts 2,882 people injured, roughly 23.6 for every 100 crashes, and 11 killed. On the yearly chart below, gold marks the injury share.

Damage only, ~76.4% Injury, 23.6% · 11 fatal
Crashes by year
1,681
2017
1,551
2018
1,520
2019
942
2020
1,221
2021
1,319
2022
1,284
2023
1,203
2024
1,155
2025
323
2026
YearCrashesInjuryFatalInjury %vs prior year
20171,681345120.5%
20181,551322120.8%-8%
20191,520366124.1%-2%
2020942207122.0%-38%
20211,221287123.5%+30%
20221,319318124.1%+8%
20231,284323325.2%-3%
20241,203279023.2%-6%
20251,155304226.3%-4%
2026 (YTD)323131040.6%

The honest way to read this is year over year. The full years from 2017 to 2025 have stayed close to 1,320 crashes, drifting down a little. 2026 is only year-to-date, so its bar and row are partial and we leave it out of the year-over-year column. The injury figures count people injured, which is why the injury bar can sit higher than the crash-only rate.

Month over month

Crashes stay fairly flat across the year, with a mild autumn bump that usually puts October among the busiest months. This is the real monthly shape, built from each incident's own date rather than one timestamp per location. Hover a bar to see its month and count.

Crashes by month, 2017–2026 YTD
154
’17
114
132
106
150
158
117
137
128
172
153
160
119
’18
98
129
122
140
139
118
111
113
175
143
144
113
’19
107
109
134
128
120
135
117
120
136
138
163
91
’20
87
63
29
38
85
94
84
86
98
87
100
69
’21
93
75
98
116
90
113
90
119
131
112
115
105
’22
80
110
115
127
112
101
113
101
113
108
134
92
’23
97
43
85
154
92
101
93
126
131
139
131
122
’24
86
89
97
110
102
93
89
87
108
115
105
116
’25
78
83
90
89
95
108
74
112
125
84
101
124
’26
106
33
10
32
18

The final bar is the current, partial month. Tick labels mark each January.

When crashes happen

Taken across all years, crashes bunch up on Friday and in the late afternoon, peaking around 3 PM. That is the evening commute, not the small hours of the night. Use the year filter to see how any single year looks, and hover a bar for its exact count.

In 2017–2026, crashes cluster on Friday and peak around 3 PM (12,199 crashes with a timestamp). Switch the year to see the shape change.

Crashes by day of week · 2017–2026
1,168
Sun
1,662
Mon
1,836
Tue
1,942
Wed
1,827
Thu
2,164
Fri
1,600
Sat
Crashes by hour of day · 2017–2026
132
12a
109
85
53
3a
37
62
264
6a
483
609
589
9a
631
713
872
12p
873
1,018
1,068
3p
979
1,064
822
6p
525
411
331
9p
277
192

Where crashes happen

Warmer colors are denser crash clusters. Crashes concentrate on the major arterials and their intersections.

Crash density (2017–present)

The map uses the 12,199crashes that carry coordinates. The counts above use the department's full totals, so the difference between them is the crashes reported without a mappable location.

Highest-crash locations
#LocationCrashes
11-S38
2732-N29
3135-N29
4279 STILLSON ROAD28
5BLACK ROCK TNPK19
61-N19
7GREENFIELD ST16
81-N13
958-N12
10TUNXIS HILL RD12
1158-N12
1259-S12
Crashes by street
StreetCrashesShare
1-N1,97816.2%
58-N1,32310.8%
1-S5064.1%
135-N4613.8%
732-N3482.9%
59-N3342.7%
VILLA AV2602.1%
MILL PLAIN RD2281.9%
FAIRFIELD WOODS RD1921.6%
REEF RD1911.6%
COMMERCE DR1811.5%
PARK AV1751.4%

Street and location labels are the representative value reported per coordinate; treat as approximate.

Follow the data

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About this data

Source: the Fairfield Police Department Interactive Crime & Statistical Dashboard, incident years 2017–2026. We pull it straight from the dashboard's query API at the incident level, so each crash arrives with its own timestamp, street, call type, and coordinates. The counts, the month, hour, and day breakdowns, and severity all use the full incident set. The spatial views (the heatmap, the highest-crash locations, and the by-street table) use the 12,199 crashes with coordinates across 11,339 distinct locations, which is why they read a little below the department totals. Injuries and fatalities are people counts. Everything here is counts rather than rates, with no adjustment for traffic volume. The department may shift coordinates slightly for privacy.