What This Visualization Shows

This data visualization displays "I mapped every parking ticket LA has issued since 2020(10 million). Here's what the data reveals [OC]" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on What you're looking at: An interactive map of every parking ticket in LA. You can browse by date, click individual tickets to see violation type + location, and explore patterns across the city. The screenshot shows a typical Tuesday, about 7,000 tickets in a single day. LA writes roughly 5,000 parking tickets per day.

Explore it yourself: [ivankuria.com/la-meter/live](http://ivankuria.com/la-meter/live)

Browse any day from 2020-2025. The Insights page has the full equity analysis, enforcement patterns, revenue breakdowns,and anomaly detection.

How I built it: [article](https://medium.com/p/30fee3d3c418?postPublishedType=initial)

What I found after digging into 10M tickets:

1. The city loses money writing tickets. LA spends \~$176M/year on parking enforcement but only collects \~$110M. That's a $65M annual deficit that's been growing since 2016 roughly $315M in cumulative losses. (source) 2. Lower-income neighborhoods get hit 3.8x harder. The bottom income quartile receives 301 citations per 1,000 residents vs 80 per 1,000 for the wealthiest quartile. The equity analysis is on the Insights page. Click the Equity tab to see the map. 3. Street cleaning is the #1 ticket trap. Street cleaning violations are one of the biggest categories. The top 25 locations generate a disproportionate number of tickets, with some spots showing 80%+ the same violation which suggests signage or infrastructure problems, not bad drivers. 4. Enforcement basically stops on weekends. Officers work Monday–Friday. Weekends are a relative parking free-for-all., which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

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Data Analysis and Insights

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