Where Summer Drives Up Burglary (And Where It Doesn't)

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In Minneapolis, summer is burglary season in the way the warnings describe it. Police there log about 283 burglaries a month from June through August, against roughly 193 a month the rest of the year, a summer lift of 47%. It is the most seasonal burglary pattern of any major U.S. city we examined.

Head most of the way across the country, to Riverside, California, and the calendar flips. Riverside averages about 118 burglaries a month in summer and about 134 the rest of the year, a summer lift of negative 12.3%. Summer is the safest burglary season Riverside has.

The home-security industry and local news segments both run the same June reminder. Even the Insurance Information Institute publishes seasonal tips built around the assumption that summer is the riskier window. We pulled three years of monthly burglary counts for the 74 largest U.S. cities reporting to the FBI to find out whether the claim survives contact with city-level data. (For broader context on U.S. burglary patterns and who gets targeted, see our companion analysis of home burglary statistics.)

The national answer is anticlimactic. Across all 74 cities, summer burglary runs just 5.6% above the rest of the year, a long way from the more than 20% the warnings imply. Taken at face value, the "summer surge" looks close to dead. It is not. It just does not live everywhere: that flat national number hides a divide so wide the two ends of it are telling opposite stories about the same season.

Where Summer Drives Up Burglary, and Where It Reverses

Summer burglary climbs most in cold-winter cities like Minneapolis and falls on the Pacific Coast, where Riverside, Portland and San Diego see less burglary in summer than the rest of the year.

Source: MoneyGeek analysis of FBI NIBRS data via Crime Data Explorer, 2022 to 2024. Highest and lowest 15 of 74 cities shown.

Note: *Single-month reporting anomaly; lift may be slightly overstated

Summer Burglary by Region

Group the 74 cities by climate region and the average reassembles into three very different patterns.

The 35 Cold-Winter cities average an 11.9% summer lift. This is the classic pattern: a deep winter trough, a summer peak, exactly the shape the warnings describe. Minneapolis anchors the extreme, but it has company. St. Paul runs +25.8%, Newark +25.0%, Buffalo +20.5%. Fourteen of the 15 most seasonal cities in the country are Cold-Winter cities.

The lone exception in that top 15 is Atlanta, ranked 11th at +16.2%. It is the one Sun Belt city to crack the high end of the ranking, which makes it the clearest break in an otherwise clean regional sort.

The 25 Sun Belt cities average a 4.8% lift: mild and mixed, a muted echo of the cold-city pattern with no strong seasonal signal in either direction.

The 14 Pacific Coast cities in our dataset, from Seattle south to San Diego and including Honolulu, average negative 2.0%, and the sign is no accident. Ten of the 14 post a negative summer lift, meaning burglary is lower in summer than the rest of the year. Riverside (-12.3%), Portland (-10.2%) and San Diego (-9.5%) sit at the very bottom of all 74 cities. Honolulu (-8.6%) is close behind.

The split is consistent, not anecdotal. Compare every Cold-Winter city against every Pacific Coast city pair-by-pair, and the Cold-Winter city has the higher summer lift in 425 of 490 matchups, 87%. Across the full dataset, 18 of 74 cities have a negative summer lift. The "summer burglary surge" is not a national fact. It is a regional one, and on the Pacific Coast it runs backward.

Minneapolis and Riverside: When the Pattern Breaks

Minneapolis and Riverside sit at the two edges of the data, and together they explain most of what happens in between.

  • minnesota icon
    Minneapolis (+47.0%)

    This is the high end, and the swing is genuine rather than a reporting quirk. Its summer count nearly 70% above its winter count is the largest swing in the dataset, and it clears our strict data-quality gate cleanly. The likely contributors line up with the city's profile: among the harshest winters of any city here, a large university population that empties out for summer, and a steady supply of households away on vacation during the warm months. We cannot causally attribute the lift to any one of these, but they all push the same direction, and Minneapolis has the climate to amplify all of them.

  • california icon
    Riverside (-12.3%)

    The mirror image, and the explanation is mostly the absence of what drives Minneapolis. A temperate Southern California climate gives Riverside no deep winter trough for summer to bounce back from. Year-round outdoor activity means homes are rarely left in the seasonal lull that a Minnesota winter creates. Riverside's burglary peaks in February. The summer, far from being its dangerous season, is its calm one. The pattern holds up and down the coast: three of the four lowest-ranked Pacific Coast cities (Honolulu, San Diego and Portland) peak in January, and Riverside peaks in February. Burglary on the coast has a winter shape.

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THE FIVE CITIES WITH AN ASTERISK

Five cities in the dataset (Madison, Louisville, Omaha, Santa Ana and Jersey City) cleared the quality gate but carry a single-month reporting anomaly, so their lifts may be slightly overstated. Madison (+34.1%) and Louisville (+26.0%) would otherwise rank second and third nationally; both are footnoted in the data table rather than dropped, so readers can weigh them directly. Even setting the two footnoted cities aside, Minneapolis still leads by a wide margin, with St. Paul at +25.8% the next clean entry. Excluding them does not change the regional story.

Why Cold Winters Predict a Summer Burglary Peak

We can describe the pattern with confidence. We can only hypothesize about its causes, because seasonal burglary counts do not let us isolate one force from another. With that caution, two explanations fit the data and point in consistent directions.

The first is climate contrast. The cities with the largest summer lifts are the ones with the coldest winters. A hard winter suppresses burglary (fewer hours of daylight for daytime entries, fewer easy opportunities, more people indoors), which leaves more room for a summer rebound. Mild-climate cities never build that trough, so they have nothing to rebound from.

The second is absence. Burglary is an opportunity crime, and the classic summer story is about empty houses: vacations, second homes, students gone for the season. That story is strongest where there is a pronounced seasonal exodus, which means the colder, more northern cities, and weakest where the weather is even year-round.

One thing the data cannot separate is residential versus commercial burglary. Our counts include both, because the FBI's monthly aggregates do not split them. Within a single city that mix mostly cancels out when comparing summer to the rest of the year, but it is a genuine limit on how precisely we can name a cause.

Neither hypothesis is proof. Together they sketch a coherent picture: the summer pattern is a cold-climate phenomenon, and the Pacific Coast simply does not have the ingredients.

What This Means for Home Insurance and Seasonal Security

Seasonal security advice has a region problem. National "harden your home for summer" messaging, the kind that drives a sizable share of homeowners-insurance and home-security marketing, is aimed at the wrong half of the country.

In Minneapolis, Buffalo or Newark, the data backs the standard advice. Timers, alarms, camera checks and a mail hold do their work in June, July and August, the months these cities actually peak.

On the Pacific Coast, the riskier stretch falls in the colder half of the year. If a homeowner in Riverside, Portland or San Diego is going to think about burglary seasonally at all, that is the window to watch, not summer.

The coverage side does not move with the seasons. A standard homeowners policy covers theft year-round, and the average U.S. policy runs about $3,548 a year for $250,000 in dwelling coverage, though the right coverage amount depends on your rebuild cost, not a national average. That premium protects against theft in January exactly as it does in July.

What should shift by region is behavior, not coverage: the months when timers, alarms, camera checks and a mail hold earn their keep. A monitored security system is also one of the discounts that can lower a homeowners premium. In the cold-climate cities, that vigilance belongs in summer. On the Pacific Coast, it belongs in winter.

What's Next for U.S. Burglary Seasonality

The "summer burglary season" is not wrong. It is parochial. It was built on a national average that masks the geography underneath. In the Cold-Winter cities, extreme winters predict a summer burglary peak. On the Pacific Coast, mild climates predict the reverse. Most of the country sits somewhere in between, with no strong season at all. The coverage does not change from region to region. The vigilance should.

The next read on this comes in 2027, when the FBI releases full-year 2025 data and a fourth year can be added to the series. Until then, the safest summary is the one the national number hides: there is no single American burglary season. There are at least two, and they fall on opposite ends of the calendar depending on where you live.

Methodology

Summer Lift is the percent difference between a city's average monthly burglary count in summer (June through August) and its average monthly count across the rest of the year, using FBI NIBRS data from the Crime Data Explorer for 2022 through 2024, accessed June 29, 2026. The formula: ((average summer monthly count − average non-summer monthly count) / average non-summer monthly count) × 100. A secondary metric, Summer vs. Winter %, compares the summer average to the December-through-February average and is used for the chart only.

The national 5.6% is an aggregate: total summer burglary across all 74 cities over total non-summer burglary, which weights each city by volume. The typical city is close behind, with a median lift of 5.5% and a mean of 6.9%. The mean runs higher because it counts a small city such as Honolulu the same as a large one such as Houston, so the volume-weighted aggregate is the more defensible national number.

Of 83 target cities, nine were dropped: six because their police departments do not report to NIBRS (San Francisco, Oakland, New Orleans, Anchorage, Orlando and St. Petersburg) and three for reporting anomalies in the window (Tucson, Pittsburgh and Miami). Five more passed the quality gate but carry a single-month anomaly and are footnoted in the table (Madison, Louisville, Omaha, Santa Ana and Jersey City). The final dataset is 74 cities.

Full Data Table: All 74 Cities

All 74 cities, ranked by summer lift from highest to lowest. A positive number means more burglary in summer; a negative number means less.

1
Minneapolis
Cold-Winter
+47.0
+69.9
July
2
Madison †
Cold-Winter
+34.1
+25.3
August
3
Louisville †
Cold-Winter
+26.0
+47.7
August
4
St. Paul
Cold-Winter
+25.8
+35.4
July
5
Newark
Cold-Winter
+25.0
+18.4
June
6
Buffalo
Cold-Winter
+20.5
+21.7
December
7
Indianapolis
Cold-Winter
+20.0
+24.2
July
8
St. Louis
Cold-Winter
+18.6
+31.2
August
9
Baltimore
Cold-Winter
+18.1
+27.1
August
10
Toledo
Cold-Winter
+16.9
+25.0
July
11
Atlanta
Sun Belt
+16.2
+10.8
August
12
Jersey City †
Cold-Winter
+16.0
+22.0
June
13
Fort Wayne
Cold-Winter
+14.6
+24.2
September
14
Colorado Springs
Cold-Winter
+14.3
+17.9
August
15
Durham
Cold-Winter
+13.5
+13.6
August
16
Cleveland
Cold-Winter
+13.4
+25.1
August
17
Lincoln
Cold-Winter
+13.4
+19.3
July
18
El Paso
Sun Belt
+12.8
+17.6
September
19
Memphis
Sun Belt
+12.2
+17.2
July
20
Raleigh
Cold-Winter
+11.9
+10.7
July
21
Tampa
Sun Belt
+11.2
+10.7
October
22
Greensboro
Cold-Winter
+10.8
+10.7
July
23
Henderson
Sun Belt
+10.6
+3.8
July
24
Bakersfield
Sun Belt
+10.4
+0.4
August
25
Stockton
Pacific Coast
+9.9
+8.8
August
26
Houston
Sun Belt
+9.5
+7.0
July
27
Chicago
Cold-Winter
+9.2
+14.2
July
28
Columbus
Cold-Winter
+9.1
+15.2
August
29
Anaheim
Pacific Coast
+8.6
+1.4
July
30
Wichita
Cold-Winter
+8.3
+14.5
November
31
Long Beach
Pacific Coast
+8.2
+6.7
July
32
Cincinnati
Cold-Winter
+8.0
+13.6
March
33
Laredo
Sun Belt
+7.2
+9.4
July
34
Detroit
Cold-Winter
+6.6
+9.3
October
35
Washington
Cold-Winter
+6.2
+12.4
October
36
Denver
Cold-Winter
+6.1
+12.5
October
37
Philadelphia
Cold-Winter
+5.5
+12.1
September
38
Fort Worth
Sun Belt
+5.5
+3.6
May
39
Tulsa
Sun Belt
+5.5
+4.2
May
40
Las Vegas
Sun Belt
+5.3
+2.8
January
41
Albuquerque
Sun Belt
+5.1
+5.7
July
42
Jacksonville
Sun Belt
+4.6
+3.6
July
43
San Antonio
Sun Belt
+4.0
−3.1
December
44
Lexington
Cold-Winter
+3.6
+7.0
May
45
Nashville
Sun Belt
+3.5
+2.6
March
46
Phoenix
Sun Belt
+3.3
+2.7
August
47
Omaha †
Cold-Winter
+3.2
+5.9
October
48
Milwaukee
Cold-Winter
+2.9
+10.6
October
49
Arlington
Sun Belt
+2.7
−3.8
December
50
Dallas
Sun Belt
+2.6
+0.1
July
51
Chandler
Sun Belt
+2.4
+24.6
October
52
Kansas City
Cold-Winter
+2.1
+4.5
December
53
Seattle
Pacific Coast
+1.2
+3.0
July
54
Oklahoma City
Sun Belt
+1.2
+10.8
April
55
Boston
Cold-Winter
+0.7
−1.9
August
56
New York
Cold-Winter
+0.3
+1.5
August
57
Austin
Sun Belt
−0.1
−3.4
July
58
Los Angeles
Pacific Coast
−0.2
−4.4
January
59
San Jose
Pacific Coast
−0.3
−2.1
May
60
Chula Vista
Pacific Coast
−1.2
+3.6
May
61
Mesa
Sun Belt
−1.7
+1.6
March
62
Fresno
Sun Belt
−2.0
−11.6
February
63
Sacramento
Pacific Coast
−2.4
−6.1
January
64
Charlotte
Sun Belt
−2.6
+0.5
December
65
Aurora
Cold-Winter
−2.8
−5.2
March
66
Plano
Cold-Winter
−4.9
−10.8
February
67
Irvine
Pacific Coast
−5.1
−11.5
January
68
Santa Ana †
Pacific Coast
−6.7
−12.5
December
69
Virginia Beach
Cold-Winter
−7.0
+3.9
December
70
Honolulu
Pacific Coast
−8.6
−16.2
January
71
Corpus Christi
Sun Belt
−8.8
−5.1
March
72
San Diego
Pacific Coast
−9.5
−11.9
January
73
Portland
Pacific Coast
−10.2
−11.5
January
74
Riverside
Pacific Coast
−12.3
−14.2
February

About Nathan Paulus


Nathan Paulus, Head of Content and SEO, MoneyGeek

Nathan Paulus is Head of Content and SEO at MoneyGeek, where he leads content strategy and produces original data research across insurance, consumer costs, transportation safety, housing, public policy and personal finance. He also reviews published studies for methodology, source quality and factual accuracy before they reach readers.

Research and Analysis

In nearly six years at MoneyGeek, Paulus has published more than 100 original studies and explanatory guides. His insurance research includes 50-state comparisons of health care outcomes, costs and access; an analysis of how uninsured rates track with state Medicaid expansion decisions and electoral patterns; full coverage auto rate analyses across major insurers in all 50 states; and a study of how premium trends track with industry underwriting losses, with combined ratio data sourced from Fitch Ratings, AM Best and Bureau of Labor Statistics CPI figures. His research also covers vehicle pricing trends across the U.S. new car market, summer traffic fatality rates by state, homeowner underinsurance ratios using mortgage and policy data, and housing affordability across all 50 states.

His research has been cited by Bloomberg, the Los Angeles Times, Forbes, Fast Company, the San Francisco Chronicle, USA Today and NBC Los Angeles. Harvard, MIT, Stanford and Yale have also referenced his work.

Career

Growing up, Paulus developed an early interest in personal finance through his grandmother, who emphasized saving over earning as the foundation of financial stability. Her framing still shows up in how he writes about money for people without a financial background.

Paulus joined MoneyGeek in July 2020 as Director of Content Marketing. In that role, he led the content team and directed data journalism production across insurance and personal finance verticals. He was promoted to Head of Marketing and Communications in December 2023, where he took on digital PR and communications strategy. He has held his current role as Head of Content and SEO since January 2025.

Before MoneyGeek, he served as Director of Content Marketing and SEO at Ventrix Advertising. There, he helped build two content sites from scratch, contributed to link-building programs that secured more than 1,500 unique referring domains within a year, and co-managed a marketing team of more than 20 people. Earlier, he spent two and a half years at ABUV Media, moving up from Marketing Research Analyst to Senior Marketing Tactics Analyst, where he built his grounding in audience research, content strategy and SEO.