ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IOWA, IA · 2019
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/2019-annual-report
Yearly Traffic Safety Analysis
166 CRASHES IN
IOWA, IA
2019
In 2019, Monroe County recorded 166 total crashes, an increase of 23% from the 135 crashes reported in 2018. While the total number of fatalities remained stable at two persons, the number of fatal crashes doubled from one to two. The overall rise in total collisions represented the most significant year-over-year shift in the data.
166
▲ 23.0%was 135
Total Crash Events
2
Persons Killed
37
▼ -5.1%was 39
Persons Injured
2
▲ 100.0%was 1
Fatal Crash Events
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Monroe County show a notable increase year-over-year, with total collisions rising from 135 in 2018 to 166 in 2019. Despite this 23% increase in crash volume, the number of reported injuries saw a slight decrease from 39 to 37. The number of fatalities held steady at two for both periods.
Vulnerable Road User Casualties
1
Pedestrians Killed
1
Motorists Killed
0
Other Killed
0
Pedestrians Injured
36
Motorists Injured
1
Other Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Temporal crash patterns shifted between the two periods. The day with the most crashes moved from Wednesday (25 crashes) in 2018 to Friday (35 crashes) in 2019. Similarly, the peak hour for collisions shifted from 6 a.m. (17 crashes) in the prior year to 7 a.m. (14 crashes) in the current year.
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes showed mixed changes year-over-year. The number of fatal crashes doubled from one in 2018 to two in 2019, with the fatal crash rate increasing from 0.7% to 1.2% of all crashes. However, the overall proportion of crashes resulting in any level of injury decreased from 25.1% in 2018 to 19.8% in 2019, even as the total number of crashes rose.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Most severe injury per crash record
Top Contributing Factors
Collisions with animals remained the top contributing factor in both periods, with the count of these incidents increasing from 65 in 2018 to 77 in 2019. While the count of animal-related crashes rose by 18.5%, their share of all crashes slightly decreased from 48.1% to 46.4%. 'Lost Control' was the second-most cited factor in 2018 with 12 crashes but decreased to 9 crashes in 2019, while 'Followed too close' was cited in 5 crashes in both years.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The distribution of crashes across various environmental conditions remained largely proportional year-over-year, despite the overall increase in total incidents. The majority of crashes in both 2019 and 2018 occurred in daylight on dry roads under clear weather. For instance, crashes on dry roads accounted for approximately 68% of incidents with known road conditions in 2019, very similar to the 67% share in 2018.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes showed a consistent pattern, with Ford and Chevrolet remaining the most common in both 2019 and 2018. An analysis of persons involved reveals shifts in age demographics; the proportion of individuals in the 35-44 age group increased from 15.3% in 2018 to 18.9% in 2019. Conversely, the share of persons aged 26-34 involved in crashes decreased from 19.9% to 13.9% over the same period.
Top Vehicle Makes (230 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Vehicle unit records
25 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (216 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Person-level records linked to crash events
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Iowa Crash Data, accessed programmatically via the ArcGIS Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.
Data Retrieval
- Access method: ArcGIS Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2019-01-01 through 2019-12-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2019-01-01 through 2019-12-31 (365 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 166
- Total persons involved: 343
- Total vehicles involved: 230
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "iowa, IA Crash Intelligence Report: 2019." Published September 9, 2026. Reporting period: 2019-01-01 to 2019-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/2019-annual-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Iowa Crash Data · ArcGIS
Period: 2019-01-01 – 2019-12-31
Generated: September 9, 2026 · All rights reserved