Crime rates in Chicago differ sharply from one neighborhood to the next, Crime rates in Chicago differ from one neighborhood to the next. Economic hardship, population and nightlife density, and the long-term condition of housing are commonly discussed factors associated with those differences, but they are not shown here to be causes. The sources give no area-specific figures for these factors, so the explanations below describe possible mechanisms without quantifying them. The fact sheet gives no area-specific figures for these factors, so the explanations below describe mechanisms without quantifying them.
Why do Chicago crime rates differ so much by neighborhood?
Concentrated poverty and unemployment
Where low household income, joblessness and limited access to stable work cluster in the same blocks, reported offenses tend to be higher than in areas where these conditions are absent. These factors usually move together rather than in isolation. Poverty alone does not determine crime, but it is associated with weaker local institutions, fewer neighborhood resources and more opportunities for offending. Comparing a neighborhood’s income and employment profile with its offense mix shows whether these conditions align in a given area.
Population density and nightlife concentration
Density raises both the number of potential targets and the number of everyday interactions in a small area. Commercial corridors with bars, restaurants and late-night venues concentrate foot traffic after dark, which increases exposure for both offenders and victims. Areas with heavy commuter or visitor traffic can therefore show different crime patterns than their residential population would suggest. Checking whether a neighborhood’s offenses peak at night or on weekends helps identify whether nightlife concentration is a factor.
Housing vacancy and long-term disinvestment
Vacant and abandoned buildings reduce natural surveillance, since fewer people are present to observe street activity, and they signal reduced investment to residents and outsiders alike. The effects of disinvestment, including reduced lending, deferred maintenance and population loss, tend to persist for decades. Current crime rates in a neighborhood can therefore reflect conditions built up over many years rather than recent events. Tracking vacancy alongside offense trends over time is one way to test this relationship.

Where to find official Chicago crime data
The City of Chicago Data Portal hosts the official dataset “Crimes - 2001 to Present,” which readers can use to compare neighborhoods directly instead of relying only on third-party summaries. Because the source is the city’s own open-data platform, it is the starting point for any neighborhood comparison that needs to be checked or reproduced.
Locating the dataset
- Search the portal for the exact title “Crimes - 2001 to Present.”
- Check that the title matches precisely, since other datasets on the portal may cover narrower topics or periods.
- Read the dataset description and field documentation before downloading, so you understand what each column represents.
Filtering by area and year
Comparing neighborhoods means narrowing records along two dimensions: where an incident was recorded and when it occurred.
- Area: filter by the community area field to isolate one neighborhood at a time.
- Time: filter by year or date range, so every neighborhood is measured over the same window.
- Consistency: apply identical filters to each neighborhood. Changing the time window or area definition between comparisons makes the results non-comparable.
Reporting and update frequency
The records come from incidents reported to the Chicago Police Department (CPD). Reporting and publication take time, so the most recent months may be incomplete or revised later. The dataset page shows a last-updated date; use that date as the cutoff for any comparison instead of assuming the data is current.
Chicago’s safest neighborhoods by crime rate
NeighborhoodScout’s 2024 data names five Chicago neighborhoods among the city’s safest. All five are on the North or Northwest side, so the shortlist is concentrated in one part of the city rather than spread across it. The source names the following five as an unranked group:
- Schorsch
- Norwood Park
- Edgebrook/Forest Glen
- Portage Park Northwest
- Edison Park North
The supplied data does not include a crime rate for each neighborhood. It gives the five names as a group, so it cannot show which one has the lowest violent or property crime rate. Read the list as a set of low-crime candidates, not as a ranking.
NeighborhoodScout builds its figures from FBI-released 2024 data and updates them annually. Membership in the group can therefore change in later editions, and a check against a newer release is worth doing before relying on it for a move decision.
How to identify areas with higher violent crime using official data
The most reliable way to see where violent crime concentrates is to count reported violent offenses by community area and compare them over the same period. NeighborhoodScout’s 2024 figures, based on FBI-released data, show that Chicago’s violent crime is not spread evenly. Its safest neighborhoods are Schorsch, Norwood Park, Edgebrook/Forest Glen, Portage Park Northwest and Edison Park North, all on the North or Northwest side. The fact sheet behind this article does not give violent offense counts for each community area, so it cannot rank the highest-crime areas by number.
To build that ranking yourself, filter records to violent offense types and count incidents per community area. Three categories are commonly part of the violent total you will see, along with others such as criminal sexual assault:
- Homicide: the most serious category, usually with the smallest counts.
- Robbery: taking property by force or threat, often concentrated along commercial corridors and transit lines.
- Aggravated assault (aggravated battery): assaults involving a weapon or serious injury.
Compare the same period across areas. To measure year-over-year change, set identical date ranges for each year and compare the count for each community area. A rise in one category can be offset by a drop in another, so track the three categories separately.
Violent vs. property crime by area
Property crime dominates reported crime in Chicago. NeighborhoodScout reports a 2024 property crime rate of 33.81 per 1,000 residents, against 5.24 per 1,000 for violent crime. Illinois shows the same pattern at a lower level: 17.15 property against 2.89 violent per 1,000.
| Measure (per 1,000 residents, 2024) | Chicago | Illinois |
|---|---|---|
| Property crime rate | 33.81 | 17.15 |
| Violent crime rate | 5.24 | 2.89 |
| Property share of the two rates combined (calculated) | 86.6% | 85.6% |
The last row is a calculation, not a published figure: property rate ÷ (violent rate + property rate). It measures how the two categories divide between them and excludes all other offense types. Both places land near 86%, so the ratio does not separate Chicago from the state. The gap is in volume. Chicago’s property rate is about 1.97 times Illinois’s, and its violent rate is about 1.81 times the state’s.
What the figures do and do not split
- Property crime is the category that drives most of the total in both Chicago and Illinois.
- Violent crime is a much smaller share of the total, so area comparisons that rank neighborhoods on total incidents mostly rank them on property crime.
- The source data gives no breakdown of property crime into theft, burglary and motor vehicle theft, and no neighborhood-level property rates. The breakdown and the share for each neighborhood must come from direct data.
How to build a neighborhood breakdown
- Sort incidents into property and violent categories using the offense type recorded in each row.
- Within property crime, count theft, burglary and motor vehicle theft separately for each area.
- Convert each count to a rate per 1,000 residents, using the same population base and year for every neighborhood.
- Divide each neighborhood’s property count by its total of property plus violent counts to get its property share.

How to compare crime per capita
Raw incident counts cannot be compared across areas of different sizes. A neighborhood with 400 incidents and 100,000 residents is not more dangerous than one with 200 incidents and 20,000 residents. Normalizing by population converts counts into a rate per 1,000 residents, which makes areas comparable.
The formula is:
- Rate per 1,000 = incidents / population × 1,000
For example, with a hypothetical area of 50 incidents and 25,000 residents: 50 / 25,000 × 1,000 = 2.0 per 1,000.
Choosing the population denominator
The result depends on the population denominator, so use the same source for every area you compare. Two common options are:
- Census population counts for census tracts or blocks, which you can aggregate to match the boundaries of your areas.
- Community area estimates, which align with Chicago’s 77 official community areas.
Mixing a census count for one area with an estimate for another can distort the comparison between areas. Use the same reference year for both the incident counts and the population.
Converting rates into odds
Rates can be expressed as odds of victimization. NeighborhoodScout’s 2024 figures show the link. A violent crime rate of 5.24 per 1,000 corresponds to roughly 1 in 191 (1,000 / 5.24 ≈ 191). A property crime rate of 33.81 per 1,000 corresponds to roughly 1 in 30.
| Measure | Chicago | Illinois |
|---|---|---|
| Violent crime rate (per 1,000) | 5.24 | 2.89 |
| Violent victimization odds | 1 in 191 | 1 in 346 |
| Property crime rate (per 1,000) | 33.81 | 17.15 |
| Property victimization odds | 1 in 30 | 1 in 58 |
Is Chicago safer than the national average?
Chicago’s violent crime rate is higher than the national median and the Illinois rate, and its property crime rate is roughly double the Illinois rate. NeighborhoodScout reports a 2024 Chicago violent crime rate of 5.24 per 1,000 residents, against a national median of 4 per 1,000 and an Illinois rate of 2.89 per 1,000. That makes Chicago’s violent rate about 1.31 times the national median. Its property crime rate is 33.81 per 1,000, against 17.15 per 1,000 for Illinois.
| Measure (per 1,000 residents, 2024) | Chicago | Benchmark | Chicago relative to benchmark |
|---|---|---|---|
| Violent crime vs. national median | 5.24 | 4.00 | about 1.31 times |
| Violent crime vs. Illinois | 5.24 | 2.89 | roughly 1.8 times |
| Property crime vs. Illinois | 33.81 | 17.15 | roughly 2 times |
The same figures translate into individual odds. NeighborhoodScout estimates a Chicago resident’s chance of becoming a victim of violent crime at 1 in 191, compared with 1 in 346 across Illinois. For property crime, the estimates are 1 in 30 in Chicago and 1 in 58 in Illinois.
Two points affect how the comparison should be read:
- The source gives a national median only for violent crime. No national property crime figure appears in the source data, so property crime is benchmarked against Illinois alone.
- These are citywide averages. Chicago’s figures cover the whole city, so they do not describe any single neighborhood.
Limits of neighborhood crime statistics
Incident counts describe what was recorded, not everything that happened. Three limits matter most when comparing Chicago neighborhoods: gaps in reporting, the difference between recorded crime and perceived safety, and instability in small areas from one year to the next. None of these makes a comparison useless, but each changes how a gap between two neighborhoods should be read.
Underreporting and differences in reporting rates
Official counts include only offenses that enter police records. Victims do not report every incident, and the share that goes unreported is unlikely to be the same across neighborhoods or crime types. If residents in one area report more often, that area can look more dangerous even when its underlying activity is similar to another area’s. The bias can run in either direction, so a ranking may understate or overstate real activity. NeighborhoodScout’s figures are built from FBI-released data, so they inherit whatever reporting patterns that data contains. Its sources do not quantify the gap, so treat small differences between neighborhoods as uncertain.
Incident counts do not capture perceived safety
A count of incidents does not measure how safe residents feel. Two areas with similar counts can differ in street lighting, traffic, visible disorder, or the mix of offense types. A few serious incidents in public spaces can shape perception more than many minor ones that never leave a trace in the public record. A lower count therefore does not mean a neighborhood feels safer to live in. For that question, resident surveys or direct local observation give information that incident data cannot.
Small-area volatility and year-to-year swings
Small areas have small counts, so a handful of incidents can shift a rate sharply. A neighborhood can move up or down a ranking between years with no structural change in its conditions. A single-year figure is therefore a snapshot, not a trend. Compare several years of counts before drawing conclusions, and check how many incidents sit behind each rate.
Frequently asked questions
How does Chicago’s crime rate compare with Illinois as a whole?
NeighborhoodScout’s 2024 figures put Chicago’s violent crime rate at 5.24 per 1,000 residents, against 2.89 for Illinois and a national median of 4. For property crime, the city records 33.81 per 1,000 against 17.15 statewide.
Which Chicago neighborhoods does NeighborhoodScout rate as the safest?
The listed areas are Schorsch, Norwood Park, Edgebrook/Forest Glen, Portage Park Northwest and Edison Park North. All five are on the North or Northwest side, and NeighborhoodScout presents them as an unranked list, so no single one is named the safest.
How can I compare crime rates between neighborhoods myself?
The City of Chicago Data Portal hosts the official dataset Crimes - 2001 to Present, which lets you filter offenses by area. Third-party rankings such as NeighborhoodScout’s are based on FBI-released data for 2024 and updated annually, so check the year behind any figure you compare.