Short version: nobody knows how many cars hit buildings in Columbus. Not this site, not the police, not the guy who has tracked it since 2022. Here is what this board actually does and does not know.
Every row in the log links to the story it came from. Three ways they get there:
The scraper reads English prose, not a database. It pulls a street address, a time of day and a neighborhood out of the article text when they are stated. When an article says "on April 30," that is the crash date. When it does not, the row falls back to the date the story ran — which is usually a day or two late.
The best count does not come from the news at all. Columbus Division of Fire tracks what it gets dispatched to, and Battalion Chief Jeffrey Geitter gave NBC4 the numbers: 313 vehicle-into-structure runs in 2022, 279 in 2023, and 102 through June 1 of 2024. That is a crash about every 1.3 days — and by that data the trend is going down, not up. Through June 1, the department ran 132 of them in 2022, 115 in 2023 and 102 in 2024.
Everything else is a fraction of that. Paul Meara tracked 71 in 2025 as @cbuscarikaze; Columbus police documented 67 through June 2025. This board has 60. Fire sees every call. Reporters see the photogenic ones. So the counter on the front page is measuring how long since a crash made the news — roughly one per 1.3 days keeps happening either way.
The counter runs from the most recent crash this board could source. Columbus has very likely beaten it since you loaded the page.
Addresses are geocoded through OpenStreetMap's Nominatim and checked against a bounding box around Franklin County, because "830 Bethel Rd" exists in other Ohio towns too. A filled dot was pinned to a street address; a hollow dot was pinned to a neighborhood and is approximate. Incidents too vague to place are counted under the map rather than dropped.
If a row is wrong — wrong date, wrong business, wrong street, or your building is on here and it should not be — say so and it gets fixed. The underlying data is a single JSON file, so corrections are cheap.