Data Analysis · Los Angeles County
A data-driven look at how crime rates vary dramatically across ten cities in the greater Los Angeles area — and what the patterns reveal about economic inequality, policing, and urban safety.
Central Argument: Crime in Los Angeles County is not evenly distributed — it is deeply shaped by socioeconomic conditions. Cities like Compton, Inglewood, and South Gate face total crime burdens more than three times higher than wealthier enclaves like Irvine and La Cañada. Strikingly, Theft dominates every city's crime profile, suggesting that economic precarity — not inherent danger — drives the majority of criminal activity across the region.
The Data
The dataset below captures reported crime rates per 100,000 residents across ten distinct cities in LA County, spanning seven crime categories: Assault, Murder, Rape, Robbery, Burglary, Theft, and Motor Vehicle Theft.
| Crime Type | Burbank | Pasadena | Irvine | La Cañada | Glendale | Inglewood | Anaheim | Compton | Downey | South Gate |
|---|---|---|---|---|---|---|---|---|---|---|
| Assault | 282.1 | 326.6 | 47.0 | 35.0 | 173.2 | 358.0 | 437.2 | 863.1 | 255.6 | 251.1 |
| Murder | 2.0 | 0.8 | 1.6 | 0.0 | 2.2 | 6.9 | 3.6 | 20.1 | 0.9 | 4.5 |
| Rape | 11.0 | 33.3 | 13.3 | 15.0 | 18.5 | 45.4 | 50.2 | 38.0 | 28.7 | 29.1 |
| Robbery | 8.0 | 119.7 | 22.1 | 20.0 | 93.4 | 264.3 | 105.2 | 350.6 | 154.7 | 241.0 |
| Burglary | 94.7 | 557.0 | 197.9 | 360.3 | 202.0 | 296.9 | 348.0 | 387.4 | 294.5 | 288.0 |
| Theft | 2,436.5 | 1,864.9 | 1,122.0 | 850.8 | 1,594.6 | 2,451.7 | 1,432.8 | 1,611.1 | 1,490.2 | 2,335.7 |
| Motor Vehicle Theft | 293.0 | 275.1 | 70.0 | 100.1 | 230.2 | 865.9 | 351.3 | 1,146.7 | 1,101.2 | 975.1 |
↑ Figures are crime incidents per 100,000 residents. Red values indicate notably high figures within each category.
Key Findings
Compton's assault rate (863.1) is nearly ten times higher than La Cañada's (35.0) and Irvine's (47.0), revealing the starkest divide in violent crime across these cities.
In nearly every city, Theft alone constitutes roughly 70–80% of total reported crimes. This makes it the single most critical category — and largely a property crime tied to economic need.
Compton has the highest aggregate crime rate across all seven categories — more than 3× the total burden of Irvine (1,474) and La Cañada (1,381).
Visual Analysis
Each chart below reveals a different dimension of the same underlying pattern: crime in LA County follows socioeconomic fault lines.
Chart 01 — Stacked Bar (Vertical)
A stacked bar chart showing the cumulative crime rate per city, broken down by crime type. Cities are grouped along the x-axis for side-by-side comparison of their overall crime load.
Chart 02 — Stacked Bar (Horizontal)
A horizontal stacked bar chart showing the same data, allowing easier reading of city names and highlighting proportional differences in crime category mix across all ten cities.
Chart 03 — Grouped Bar
A grouped (clustered) bar chart separating each crime type side by side within each city, enabling direct comparison of individual crime categories across all ten cities simultaneously.
Conclusion
Across all three charts, a consistent picture emerges: geography predicts crime in Los Angeles County more than any other single factor. Cities with lower median incomes and higher population densities — Compton, Inglewood, South Gate — carry dramatically heavier crime burdens than their wealthier counterparts.
Theft is the great equalizer: it appears at high rates in almost every city, including affluent ones like Burbank and La Cañada. This suggests theft is less a sign of social breakdown and more a rational response to economic pressure and opportunity — present everywhere, but especially acute where economic inequality is most severe.
Violent crime — assault, murder, and robbery — tells a starker story. These categories spike significantly in lower-income cities, pointing to systemic stressors that go far beyond individual behavior: poverty, under-resourced schools, unemployment, and limited social services.
These numbers are reported crimes per capita, which means they are also shaped by policing intensity, reporting rates, and community trust in law enforcement — all of which vary by neighborhood. The data is a window into inequality, but not the whole picture. Where you live in LA County still determines your safety in ways that have little to do with your choices.