Dallas–Fort Worth Crime Map: Neighborhood & ZIP Safety Data

As of August 11, 2026, the plain read is this: Dallas citywide runs above the U.S. crime average, while Fort Worth is near it, but local patterns change a lot by neighborhood and ZIP. Dallas is listed at 35% above the national average, Fort Worth at 3% below, and the latest Dallas police snapshot covers April 2–August 9, 2026.

Area	Latest cited period	Main metric
Dallas	Aug. 11, 2026 city measure	C-; 35% above U.S. average
Fort Worth	Aug. 11, 2026 city measure	C+; 3% below U.S. average
Dallas police feed	Apr. 2–Aug. 9, 2026	46,816 calls for service
Dallas violent risk	Aug. 11, 2026 city measure	1 in 200 annual risk
Dallas property risk	Aug. 11, 2026 city measure	1 in 35 annual risk

If I strip this down to what matters most for a reader, the article’s main point is simple: use city data as a baseline, then check the neighborhood and ZIP before you judge a place.

Dallas and Fort Worth do not read the same at the city level. Dallas is higher on the cited city measure, while Fort Worth is much closer to the national baseline. But that city split does not tell you what one block, one apartment area, or one ZIP looks like.

The article shows that local variation is large inside both cities. In Dallas, some ZIPs such as 75225 and 75205 are rated A+, while 75210 is rated D-. In Oak Cliff alone, Kessler Park is listed at A, while Cliff Creek is listed at F. That is the kind of gap citywide averages hide.

The same issue shows up in Fort Worth. Downtown Fort Worth has a B- grade and a crime index of 192, compared with 97 citywide. Nearby places shift again, so one central ZIP does not stand in for the whole city.

I’d also keep the data limits front and center.

Dallas public police data is a calls-for-service feed, not a list of confirmed crimes. The article says only 17.1% of dispatches in one 2026 snapshot led to an arrest. So a high count can reflect police activity, repeat calls, traffic, business density, or other factors, not just criminal acts.

Fort Worth’s public map works differently. It updates weekly, places incidents to the hundred block rather than the exact address, and leaves out juvenile-related cases from the public feed. That makes it useful for area patterns, but not for door-by-door review.

The offense mix matters too. In Dallas’s cited snapshot, property incidents were 47.7% of dispatches, while violent incidents were 9.3%. The top listed incident types were motor vehicle theft, burglary of motor vehicle, and criminal trespass warning. So if someone wants to know what risk looks like in a ZIP, the next step is not just total volume. It is whether the activity is mostly vehicle theft and break-ins or something more severe.

Outside Dallas and Fort Worth, the article places Arlington in the middle of the regional spread, with 29 incidents per 1,000 residents, below Fort Worth’s cited 31 and Dallas’s 41, but above Plano at 16 and Colleyville at 6. That helps frame the metro, but again, it is a broad-screen measure, not a block reading.

My short takeaway:

• Dallas citywide is higher than Fort Worth on the cited 2026 measures.
• Neighborhood and ZIP differences are large in both cities.
• Dallas data is faster but based on calls for service.
• Fort Worth data is slower and less exact on location.
• Property crime drives much of the mapped activity, so totals alone can mislead.

If I were editing this for a reader trying to compare places, I’d put the verdict this way: start with the city number, but make the decision at the neighborhood or ZIP level. That is where the article’s own numbers show the biggest differences.

1. Aden's ZIP DFW Crime Map & Reports

Aden's ZIP turns public crime and Census data into searchable reports for Dallas–Fort Worth by city, neighborhood, and ZIP.

Coverage

The map covers DFW at five levels: metro, city, ZIP, neighborhood, and address. Dallas has 386+ neighborhoods. Fort Worth has 373+ ^[3][2][1].

Dallas has a C- city grade, but 84% of its named neighborhoods are rated A or B for safety ^[3]. That city grade and neighborhood split can look odd at first. The layered map helps sort that out by letting you compare the metro, a city, a ZIP, a neighborhood, or a single address before you move into the citywide sections.

Incident Level

In one 2026 Dallas snapshot, property crime made up 47.7% of all dispatches with 22,344 incidents, while violent crime made up 9.3% with 4,348 incidents ^[4]. Dallas residents face an annual 1-in-200 risk of violent crime and a 1-in-35 risk of property crime ^[3].

The most common incident types were:

• Motor vehicle theft
• Vehicle break-ins
• Criminal trespass warnings ^[4]

That split matters. It helps separate places with heavy property-loss activity from places with more exposure to violent-crime reports.

Incident Types

These reports track calls for service, not confirmed crimes ^[4]. Arrests showed up in about 17.1% of dispatches in the snapshot ^[4]. So if a ZIP has a high call count, that does not automatically mean the area has high crime. Some calls turn out to be unfounded. Others are routine police matters ^[4].

Update timing also differs by city. Dallas updates daily. Fort Worth updates weekly ^[4][5]. In plain terms, Dallas works better for near-term checks, while Fort Worth is better suited to slower trend review. That timing difference matters when you compare current conditions across the two cities.

With that map context in place, the next sections compare Dallas and Fort Worth citywide.

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2. Dallas Citywide Crime Map and Official Police Data

The Dallas Police Department posts incident data through the Dallas Open Data portal, in the Police Incidents feed ^[4]. You can filter that feed by street address, neighborhood, or ZIP code ^[4]. That makes it useful for checking one part of the city against another, but it still helps to separate calls for service from confirmed crimes.

Geography

By ZIP code, Dallas varies a lot. ZIPs 75225 and 75205 are rated A+, while 75210 is rated D- ^[3].

Incident Level

From April 2 to August 9, 2026, the Dallas snapshot shows 46,816 calls for service ^[4]. An arrest was logged in 17.1% of dispatches ^[4]. That point matters: these are calls for service, not confirmed crimes ^[4].

Offense Mix

In that same Dallas feed, property-related incidents made up the largest share, followed by a broad “other” group. Violent incidents were a smaller share of the total, though still a large count in raw numbers ^[4].

Offense Category	Share of Total	Incident Count
Property	47.7%	22,344
Other	21.9%	10,249
Violent	9.3%	4,348
Drugs	8.8%	4,128
Disorder	8.1%	3,814
Traffic	3.0%	1,422
Service	1.1%	510

Source: Dallas Police Department open-data feed, April 2–August 9, 2026 ^[4]

The most common incident types in the snapshot were motor vehicle theft (5,233), burglary of motor vehicle (4,162), and criminal trespass warning (2,389) ^[4].

For a citywide rate benchmark, Dallas reports a violent crime rate of 500.2 per 100,000 residents, which is 31% above the national average ^[3]. The source also estimates an annual 1 in 35 chance of property crime and 1 in 200 chance of violent crime for residents ^[3]. Those figures describe citywide risk, not what happens on each block or in each ZIP code.

Fort Worth follows with its own citywide police-data baseline.

3. Fort Worth Citywide Crime Map and Official Police Data

Start with FWPD’s own data. The department publishes incident information through the Crime Data Center and One Address, and One Address also shows permits and code violations by address or block ^[5][6]. That gives you a citywide baseline before moving into the neighborhood and ZIP comparisons later in the article.

Geography

Fort Worth does not place incidents at the exact street address in the public map. Instead, it rounds them to the hundred block to protect privacy ^[5]. Juvenile-related cases are also left out of the public feed ^[5].

That means the map is useful for spotting patterns on or near a block, but it is not a door-by-door record.

Incident Classification

FWPD sorts incidents under FBI Uniform Crime Reporting (UCR) standards ^[7]. In plain terms, it separates:

• Violent crime: murder, rape, robbery, and aggravated assault
• Property crime: burglary, larceny-theft, and motor vehicle theft

This matters because a place can show a high number of reports overall while the mix of offenses looks very different from another area.

Update Period

The city says the official data updates weekly ^[5]. So if you are checking a block right after a news event, the map may not show the newest incident yet.

Use that timing limit as a caution point, especially when you are comparing media reports with the city’s public database.

Next: Downtown Dallas neighborhood pattern.

4. Downtown Dallas Neighborhood Crime Pattern

Downtown Dallas is not one single crime pattern. It breaks into sub-districts, and the numbers shift a lot from one area to the next. The main Downtown sub-districts are the Main Street District, Dallas Arts District, West End Historic District, Farmers Market District, Reunion District, and Civic Center District ^[2]. Nearby areas like Uptown, Deep Ellum, and the Cedars are tracked on their own, which makes side-by-side comparison possible ^[2].

Geography

Here, sub-district lines matter more than ZIP codes. Incidents are counted by neighborhood boundaries, not just by ZIP. That matters because a ZIP like 75201 can stretch across more than one district, and a ZIP-level map can blur street-by-street differences ^[3].

Incident Level

One address that stands out near Downtown’s southern edge is 1400 Botham Jean Blvd. It logged 345 incidents in the snapshot, putting it among the highest-volume addresses in the area ^[4].

Offense Mix

The table below shows the safety grades for Downtown sub-districts ^[2]:

Downtown Sub-District	Safety Grade
Main Street District	B+
Dallas Arts District	B
Farmers Market District	B
Victory Park	B
Reunion District	B
Civic Center District	B
West End Historic District	B-

Each of these grades is above Dallas’s citywide C− baseline ^[2].

Next: Uptown, where the block-level pattern north of Downtown looks different.

5. Uptown Dallas Neighborhood Crime Pattern

Uptown sits just north of Downtown, and the pattern shifts here. Compared with the core's mixed-use profile, Uptown posts a stronger neighborhood grade. It ranks #164 out of 386 mapped Dallas neighborhoods, with an A- safety grade and a Very safe classification ^[2][3]. That places it above the Downtown baseline discussed earlier.

Geography

Uptown does not include North Oak Lawn, Turtle Creek, Victory Park, or Knox / Henderson. Those areas are tracked on their own ^[2][3]. There’s also a ZIP-code issue here: 75201 overlaps with Downtown, so ZIP-level figures can blend two different neighborhood patterns ^[2][3].

That’s why this article uses both neighborhood-level and ZIP-level views. One lens helps check the other.

Incident Level

One hotspot near Uptown and Oak Lawn, at 2417 N. Haskell Ave, logged 147 incidents in the April 2–August 9, 2026 snapshot ^[4]. In a dense mixed-use area, a busy address like that can push up activity counts without changing the neighborhood’s overall grade.

Uptown’s crime index is 171, compared with 135 for Dallas overall, where 100 = U.S. average ^[2][3]. That figure should be read alongside the neighborhood grade, not in isolation.

Update Period

The data are current as of August 10, 2026 ^[4]. The Dallas feed updates daily and reflects calls for service, not confirmed crimes ^[4].

Next is Oak Cliff, where the neighborhood pattern changes again.

6. Oak Cliff Dallas Neighborhood Crime Pattern

Oak Cliff is not uniform. A few minutes can separate lower-incident historic areas from blocks with much heavier call volume. That’s the main point here: ZIP code grades do not tell the whole story in Oak Cliff ^[2].

Geography

Within Oak Cliff, Kessler Park and Winnetka Heights sit alongside higher-incident areas such as Cliff Creek and Rose Garden ^[2]. On paper, ZIP codes 75208 and 75211 look fairly similar. They carry A- safety grades, with crime indexes of 102 and 90 ^[2].

But those ZIP-level figures blur street-to-street variation. In Oak Cliff, that gap matters. A calm residential pocket and a busier, higher-incident corridor can fall under the same ZIP average ^[2].

Incident Level

The spread inside Oak Cliff is wide. Kessler Park ranks #138 out of 386 Dallas neighborhoods and has an A grade ^[2]. Cliff Creek, by contrast, ranks #385 out of 386 and has an F grade ^[2].

Those two areas are both part of Oak Cliff, but they do not show the same risk pattern. That’s why citywide scores and ZIP summaries should be treated as a starting point, not a street-level answer ^[2].

Offense Mix

Across Dallas, property crime accounts for much of the dispatch activity, so offense-type filters can help narrow down what’s happening on specific Oak Cliff blocks ^[2][4]. If you only look at a broad map without filtering, you can miss whether an area’s call volume is driven more by theft, burglary, or another category ^[2][4].

Update Period

Dallas updates this data daily. This snapshot covers April 2 to August 9, 2026 ^[4]. The dataset reflects calls for service, not confirmed crimes ^[4].

Next: Downtown Fort Worth.

7. Downtown Fort Worth Neighborhood Crime Pattern

Downtown Fort Worth is centered on ZIP Code 76102 and sits inside one of Fort Worth’s 373+ mapped neighborhoods. The main takeaway is simple: density changes the crime picture here.

Geography

Downtown Fort Worth has a B- safety grade and a crime index of 192, which is almost double Fort Worth’s citywide average of 97 ^[1]. Nearby areas show how much results can shift over short distances. Near East Side and Butler rate D-, while Linwood matches Downtown at B- ^[1].

ZIP 76102 is a useful place to start, but it doesn’t tell the whole story. Neighborhood lines show the pattern more clearly than a ZIP Code alone.

Incident Level

Downtown’s 192 index, compared with 97 citywide, points to a heavier incident pattern than Fort Worth as a whole ^[1]. That said, downtown data needs context. In central business districts, high call volume can reflect foot traffic, transit use, and commercial activity, not just the risk faced by people who live there ^[4].

In other words, reported activity in Downtown often comes from how many people move through the area each day, not only from residential conditions.

Offense Mix

To read the downtown map well, it helps to split incidents by type. Use offense filters to separate property-heavy activity from violent incidents in the Downtown map ^[8].

That matters because a single overall index can blur very different patterns. A cluster of theft or vehicle break-in reports does not mean the same thing as a cluster of violent offenses.

Update Period

Fort Worth updates its crime data weekly ^[5]. The public map does not show exact addresses. Instead, incident locations are generalized to the hundred-block level to protect witness and juvenile privacy, and cases tied to juvenile-related data are removed from the public feed altogether ^[5].

Like other public incident maps, this dataset shows reported activity, not confirmed case outcomes ^[4].

8. Arlington City and ZIP Safety Pattern

Geography

Arlington works as a middle reference point after the Dallas and Fort Worth citywide baselines. It sits between those two cities on the map and also lands between them on crime levels. As a rough benchmark, Arlington is lower than Dallas, close to Fort Worth, and higher than Plano.

The city's total crime rate is 29 incidents per 1,000 residents, which is 37% above the national average ^[9]. That is lower than Fort Worth at 31 per 1,000 and Dallas at 41 per 1,000 ^[9]. It is still above lower-crime suburbs such as Plano at 16 per 1,000 and Colleyville at 6 per 1,000 ^[9].

Incident Level

Use Arlington neighborhood and ZIP maps as incident snapshots, not exact measures of underlying risk ^[4].

A map can show where reports were logged, but that is not the same thing as a direct measure of a resident's chance of being affected. Reporting patterns, land use, traffic volume, and short date ranges can all shift what the map looks like.

Offense Mix

Arlington's reported pattern leans heavily toward property crime. The city has about 25 property incidents per 1,000 residents compared with about 4 violent incidents per 1,000 ^[9].

That split helps when reading ZIP-level patterns. If one area shows a high total, the next step is to check whether that total comes mostly from theft and other property offenses or from a higher share of violent crime.

Update Period

Check the Arlington map's timestamp before using it for comparisons ^[9]. Older updates can skew short-term readouts, especially when you are comparing one ZIP or neighborhood with another.

That makes Arlington a useful midpoint before looking at the lower-density ZIP patterns in Plano and Irving.

9. Plano City and ZIP Safety Pattern

Geography

Plano works as a lower-crime suburban reference point in the DFW comparison, especially after Arlington’s more middle-range profile. Citywide, Plano reports 16 total crimes per 1,000 residents, which is well below Dallas on that measure ^[9]. That said, a lower city rate does not mean every ZIP looks the same. You still need ZIP-level checks before comparing one part of Plano with another.

Incident Level

In Plano, use the map to compare ZIP areas, not to treat one pin like a precise risk reading. A single point can show where an incident was logged, but it does not tell the full story for the block, neighborhood, or ZIP around it.

Offense Mix

Once you account for that map limit, offense type is the fastest way to compare Plano ZIPs. Start with the offense filter. That helps you separate patterns for motor vehicle theft, burglary, and assault instead of mixing them into one broad count.

Update Period

Plano crime data comes from local RMS records and uses UCR classification ^[7]. Keep the reporting window the same when you compare ZIPs. If the date ranges differ, one ZIP can look riskier even when the gap comes from timing rather than a clear difference in incidents.

Irving shows a different suburban pattern next.

10. Irving City and ZIP Safety Pattern

Geography

Irving varies a lot by ZIP. In practice, that means citywide averages can hide what people usually want to know: what a specific corridor looks like.

The split in Irving tends to follow corridors and land use, not one single city pattern. Las Colinas stands out here. It is one of the safest residential corridors in the Dallas–Fort Worth area ^[9]. Because of that, Irving is more useful as a city for corridor-by-corridor comparison than as a place you judge by one city average.

Incident Level

Irving’s incident map looks like the broader suburban DFW pattern. Property crime, especially motor vehicle theft and burglary, shows up more often and more consistently on mapped incident data. Violent crime appears less often on these maps ^[7][9].

That matters when you compare ZIPs. A map pin for a stolen vehicle does not mean the same thing as a map pin for an assault. If you are checking Irving by ZIP, use separate filters for property offenses and violent offenses so you do not lump unlike risks together.

For renters, homebuyers, and travelers, Irving’s ZIP-level map is often the most useful view because it helps separate residential patterns from commercial traffic patterns.

Offense Mix

In Irving, ZIP-level differences often line up more with density and land use than with raw incident totals alone. A ZIP with more stores, offices, hotels, or major roads may post more property incidents simply because more cars, people, and parking lots are in play.

That is why side-by-side ZIP comparison works better when you split:

• residential corridors
• commercial and mixed-use areas
• property incidents
• violent incidents

Update Period

Irving data comes from RMS records classified under FBI UCR. Update timing can differ by agency, so comparisons work best when you use the same date range across ZIPs ^[7].

The next section covers the trade-offs of comparing crime data at the city, neighborhood, ZIP, and tool level across the full DFW metro.

Pros and Cons of City, Neighborhood, ZIP, and Tool-Level Crime Comparisons

The examples from Dallas, Fort Worth, Oak Cliff, Uptown, Arlington, Plano, and Irving make one point pretty clear: a city average can blur big local differences. One part of a city may show a lot more police activity than another just a few blocks away. That’s why each comparison layer serves a different purpose. Citywide data gives you a baseline. Neighborhood data shows local variation. ZIP data helps with broad screening. Tool-level reports make side-by-side checks faster.

Here’s the basic trade-off at each level:

Comparison Type	Strengths	Limitations
Aden's ZIP Reports	Combines metro, city, neighborhood, ZIP, and address views.	ZIPs rarely match neighborhood boundaries.
Dallas Official City Data	Best for same-day Dallas checks and offense-type filtering [4].	Reflects calls for service, not confirmed crimes; arrests occurred in only 17.1% of dispatched calls in one 2026 snapshot [4].
Fort Worth Official City Data	Best for weekly trend review, but less precise than Dallas [5].	Updated weekly; locations generalized to the hundred-block level; juvenile-related data excluded [5].
Neighborhood-Level Patterns	Captures sharp local variance within a city, so nearby blocks can look very different [3].	Boundaries vary by tool; dense areas can inflate counts.
ZIP-Level Analysis	Familiar geographic unit; useful for broad regional comparisons across DFW [3].	A ZIP can hide large block-to-block differences.

The biggest limitation is the same across all of these layers: incident maps show police activity, not personal risk ^[4]. That sounds simple, but it matters. A place with more calls, more foot traffic, or more businesses may log more incidents without telling you everything about day-to-day exposure. The reverse can also be true.

A ZIP code can include both low-incident and high-incident blocks. A neighborhood line in one tool may not match the line in another. Even official city datasets don’t always measure the same thing. Dallas, for example, shows calls for service, while Fort Worth posts weekly data with less exact locations ^[4][5].

A practical way to use these layers is pretty straightforward:

• Use city data to get the broad picture.
• Use neighborhood data to compare nearby areas.
• Use ZIP data as a screening check, not a final call.
• Use tool-level views to move between scales fast.

That setup leads into the final summary on which layer makes the most sense for each kind of decision.

Conclusion

Read DFW crime data in layers: metro, city, neighborhood, then ZIP. That gives you the right level of detail for the question in front of you.

At the city level, Dallas has a crime index of 135, which is 35% above the national average, while Fort Worth is at 97, or 3% below the national average, based on data current as of August 11, 2026 ^[2][1]. Those figures are a starting point, not the whole story. For a move, rental, home purchase, or trip, it makes more sense to narrow down to neighborhoods and ZIP codes, where local differences show up more clearly.

There’s also a data-timing gap between the two cities. Dallas updates daily through a calls-for-service feed. Fort Worth updates weekly and masks locations to the hundred block ^[4][5]. That means the two feeds are useful, but not directly identical in how they report place and timing.

Use each layer for a different kind of decision:

Analysis Level	Best Use Case
Metro	Broad regional safety trends vs. state and national averages
City	Official police measures and overall crime grades
Neighborhood	Home-buying, renting, or visiting based on local safety patterns
ZIP Code	Quick area screening for commuting, insurance, or regional checks
Aden's ZIP	City, neighborhood, ZIP, comparison, and map reports in one place

Use Aden's ZIP to screen an address or compare two parts of the metro.

Methodology note: Data snapshots are current as of August 11, 2026; Dallas incident data covers April 2–August 9, 2026, and Fort Worth data is updated weekly and generalized to the hundred-block level - reported calls-for-service are not the same as confirmed crimes ^[2][1][4][5].

FAQs

How should I compare city, ZIP, and neighborhood crime data?

Use official police and open-data sources first. For maps, incident reports, and area breakdowns, that usually means city or department portals such as those from Dallas and Fort Worth.

Check the data period before you compare anything. Also confirm what the numbers show: some dashboards list calls for service, while others list reported or verified crimes. Those are not the same thing.

It also helps to read the fine print. Cities may code incidents in different ways, reporting can lag, and incident density on a map can change how patterns look. A busy commercial area, for example, may show more activity than a low-traffic residential area even when the risk to residents is not directly comparable.

Do calls for service mean confirmed crimes?

No. Calls for service are dispatch records, not confirmed crimes. They show that an officer was sent to a location after someone asked for help.

A lot of those calls do not end up as crimes. Some are later found to be unfounded. Some turn out to be civil issues. Others are routine contacts with the public. Official incident reports can also be preliminary at first, and they may be reclassified or adjusted after more investigation.

What should I check before judging one address or block?

Check the address’s Police Beat or Reporting Area first. That gives you the right map area before you read too much into any pin or block label. In many public datasets, crime locations are shifted to the hundred block to protect privacy, so the map may point to a general area, not the exact property.

Call volume also needs context. A high number of calls shows police activity, but it does not automatically show what happened there or whether the location has a higher risk. Some calls turn out to be minor issues, duplicate reports, or events that police clear without a crime case.

Because these datasets usually reflect reported dispatches, not final case results, check specific incidents through official agency reports when you can. Use address-level data as one signal, then compare it with the broader neighborhood picture and the city or police department’s official open-data portal.