Geography of Crime

Kansas City, Missouri · Updated October 20, 2026

Kansas City crime by the numbers

A year of police-reported crime, counted and charted. It updates every Monday from KCPD's open data. The interactive map shows where it happens.

  • 36,989crimes against persons, property, and society in the last 12 monthsAbout 101 a day (NIBRS Group A), plus 13,260 Group B offenses and non-crime reports such as warrant arrests and traffic crashes
  • −12.8%vs. the year beforeOct 2025–Sep 2026 vs. prior 12 months
  • 10.8%of places hold half of all Group A crime714 of 6,608 150 m squares with any crime
  • Sat · 12 pmbusiest day and hourThursday is the quietest day

Offense categories and groups follow the FBI's NIBRS standard.

The trend: incidents per day, by month

The last 24 complete months. Daily rates keep short months like February from looking like drops. The newest partial month is left out because reports keep arriving for weeks.

Table view
MonthGroup A totalPersonsPropertySocietyGroup BUnclassified
Oct 20244,0191,0262,861132530565
Nov 20243,3968842,397115468494
Dec 20243,3768642,43379444470
Jan 20253,0817902,168123456498
Feb 20253,0327722,146114446447
Mar 20253,8649582,753153582520
Apr 20253,8471,0522,647148606544
May 20253,7661,0932,482191628544
Jun 20253,5581,0842,323151541470
Jul 20253,8001,0612,604135585519
Aug 20253,7531,0752,532146584504
Sep 20253,5071,0152,355137540533
Oct 20253,4439852,291167648528
Nov 20253,1109192,042149554443
Dec 20252,9658921,949124487429
Jan 20262,8718991,814158544416
Feb 20262,8228921,796134537453
Mar 20262,9531,0061,781166681515
Apr 20263,1601,0791,886195594483
May 20263,2981,0802,017201621495
Jun 20263,1981,0881,933177703496
Jul 20263,4001,0812,093226727543
Aug 20263,1401,0371,902201661515
Sep 20263,1321,0591,842231668508

When it happens: hour by day of week

Last 12 months. Colors run from the quietest hour of the week (light) to the busiest (dark). Sharp spikes at noon or midnight often reflect estimated times, such as a theft discovered after the fact.

What changed: year over year

October 2025 to September 2026, compared with the same 12 months a year earlier. Group totals first, then each offense category with at least 100 incidents across the two years. Small categories swing more in percentage terms; check the counts.

  • Crimes against persons+2.9%11,674 → 12,017
  • Assault+2.3%11,009 → 11,267
  • Sex offenses+23.2%474 → 584
  • Homicide−12.6%127 → 111
  • Crimes against property−21.4%29,701 → 23,346
  • Larceny/theft−16.5%11,000 → 9,185
  • Vandalism−16.1%5,845 → 4,903
  • Motor vehicle theft−38.0%6,678 → 4,139
  • Burglary−14.7%2,616 → 2,232
  • Fraud−21.3%1,785 → 1,405
  • Robbery−19.9%1,069 → 856
  • Stolen property−15.5%309 → 261
  • Counterfeit/forgery−13.2%174 → 151
  • Embezzlement−14.4%118 → 101
  • Arson−12.8%78 → 68
  • Crimes against society+31.1%1,624 → 2,129
  • Drugs/narcotics+52.2%994 → 1,513
  • Weapon laws−8.7%492 → 449
  • Prostitution+23.3%60 → 74
  • Pornography+3.3%61 → 63
  • Group B+15.8%6,410 → 7,425
  • Unclassified−4.6%6,108 → 5,824

Up means more incidents. Shifts can also reflect changes in reporting or classification, not just in crime.

Where it concentrates: neighborhoods

Census block groups, the smallest areas with population counts, labeled with the nearest named neighborhood. Counts are Group A offenses. Half of them fell in 95 of 442 block groups.

Most incidents

  1. Near Crown Center453Top offense: larceny/theft (26% of incidents)
  2. Near Westport446Top offense: larceny/theft (33% of incidents)
  3. Near North Indian Mound436Top offense: larceny/theft (32% of incidents)
  4. Near Kansas City Power & Light District392Top offense: assault (37% of incidents)
  5. Near Kansas City Power & Light District354Top offense: larceny/theft (30% of incidents)
  6. Near Blenheim352Top offense: assault (49% of incidents)
  7. Near Martin City338Top offense: larceny/theft (52% of incidents)
  8. Near North Hyde Park334Top offense: larceny/theft (45% of incidents)
  9. Near Hospital Hill324Top offense: assault (46% of incidents)
  10. Near Marlborough Heights311Top offense: assault (31% of incidents)

Highest rate per 1,000 residents

  1. Near Westport585446 incidents, 762 residents
  2. Near Key Coalition381246 incidents, 646 residents
  3. Near Westport361192 incidents, 532 residents
  4. Near North Hyde Park342334 incidents, 976 residents
  5. Near Blue Hills331245 incidents, 740 residents
  6. Near North Indian Mound326199 incidents, 611 residents
  7. Near Columbus Park326228 incidents, 700 residents
  8. Near North Indian Mound320228 incidents, 713 residents
  9. Near Hanover Place313187 incidents, 597 residents
  10. Near Plaza-Westport306159 incidents, 520 residents

Block groups with fewer than 500 residents are left out; a few incidents in a tiny population produce misleading rates. Downtown and commercial areas rank high because many visitors, few residents.

How these numbers are made

  • Source: Kansas City Missouri Police Department via KC Open Data, pulled every Monday.
  • Counted by report and offense, so a report with three victims counts once. Reports marked unfounded (police determined no crime occurred) are removed. Dates are when the offense began.
  • Crime types are the FBI's NIBRS offense categories, grouped by NIBRS "Crime Against": persons, property, or society (Group A). Robbery counts as a crime against property, as it does in NIBRS. Group B offenses (arrest-only, such as DUI and trespass) and unclassified reports are kept separate.
  • Each report is classified by its NIBRS code; when the code is blank, by its NIBRS offense name, then by KCPD's own offense label.
  • Locations are aggregated to 150 m squares and block groups. No addresses, names, or demographics are downloaded or shown.
  • These are reported crimes. Many crimes are never reported, and reporting rates differ by type and place.

Do this for your city

The scripts behind this page are open. Point them at another city's open data portal to get the same map and statistics.

See the scripts on GitHub

Prefer Excel? The free Crime Analysis Excel Toolkit builds the hour-by-day grid, trends, and percent change from any incident export.