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Crime · reviewed 2026-04-16

What are the odds of having your car stolen?

Evidence quality 4.75/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 34

3.0% lifetime chance

range 1 in 56 to 1 in 24

lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 4.8 1 in 34

● your factors — click this risk ▾ to reveal

≈ As likely as

An empty parking spot marked by faded paint lines on grey asphalt, flat vector illustration, muted tones.

Perceived

Gallup's annual crime-worry poll consistently places vehicle theft among the most-worried-about property crimes. In the October 2025 wave, 39% of US adults said they worry frequently or occasionally about having their car stolen or broken into. That figure has held in the mid-to- high 30s for over a decade, even as the actual theft rate has swung by 40% in both directions during that period. Vehicle theft sits just below home burglary in the worry ranking and well above violent crimes like homicide and sexual assault.

Rough estimate: ~1 in 10 lifetime feels about right to many respondents

Source: Gallup (2025) — Crime in U.S. Seen as Less Serious for Second Straight Year

Actual

~250 per 100,000 registered vehicles per year (2024)

Registered motor vehicles in the US

Show derivation

In 2024, NICB reported 850,708 motor vehicles stolen out of approximately 283 million registered vehicles (FHWA), yielding an annual per-vehicle theft rate of about 0.0030 (850,708 / 283,000,000). The average vehicle ownership period is roughly 12 years (based on average vehicle age of 12.6 years per S&P Global Mobility 2024). Compounding over 12 years: 1 − (1 − 0.00301)^12 ≈ 0.0355. However, the 2024 rate is already well below the 2023 peak (1.02M thefts), and the long-run average (2015–2024) is closer to 0.0025 per vehicle-year. Using the 10-year average gives 1 − (1 − 0.0025)^12 ≈ 0.0296. The central estimate uses this smoothed figure. Scope is activity_specific_lifetime because the denominator is per vehicle over an ownership period, not per person over a biological lifetime.

Caveats: The per-vehicle rate masks enormous geographic variation. The District of Columb…

The per-vehicle rate masks enormous geographic variation. The District of Columbia's 2024 rate was 842 per 100,000 residents — more than three times the national average. Metro areas like San Francisco-Oakland and Bakersfield topped 477 per 100,000. Meanwhile, many rural counties recorded rates well below 100 per 100,000. Vehicle make and model matter too: the Hyundai/Kia ignition vulnerability (models lacking engine immobilizers) drove a disproportionate share of the 2022–2023 theft spike and the subsequent 2024 decline as software patches and steering- wheel locks were distributed. Older vehicles without immobilizers remain significantly easier to steal. The 12-year ownership horizon used for normalization is an average; someone who keeps a car for 5 years faces roughly half the cumulative risk, while a 20-year owner faces roughly double. Behaviour matters too. NICB reports that roughly 100,000 US vehicles a year — about 11% of all 2021 thefts, and up more than 20% from 2019 — are stolen after the keys or fob were left inside, often during winter "puffing" (leaving a car running unattended to warm up). The unlocked-vehicle share is much higher than the keys-in share: the Houston Police Department's Auto Theft Division states that approximately 50% of vehicles stolen in Houston were left unlocked, and Lincoln (NE) Police Department data reported by Nebraska TV in July 2025 puts the unlocked share among stolen vehicles in Lincoln at 41% in 2024 and 63% in the first half of 2025; multi-year LPD figures range from 57% to 69% across 2020–2023. The true unlocked share is likely higher than reported because drivers under-disclose. These are share-of-incidents figures, not per-night rate ratios: converting them to a clean "leave it unlocked overnight in the city" multiplier would require an exposure denominator (what fraction of parked-vehicle nights are unlocked) that no published study reports, which is why this behavioural dimension sits in caveats rather than personal_factor_multipliers.

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Compare to:

In 2024, about 850,700 motor vehicles were stolen in the United States, down 17% from the post-pandemic peak of over one million in 2023. Divided across roughly 283 million registered vehicles, the annual per-vehicle theft rate comes to about 0.3%, or 1 in 333. Compounded over 12 years of average vehicle ownership using the smoothed 2015–2024 rate, the cumulative probability works out to roughly 1 in 34. That makes vehicle theft a mid-tier property crime by frequency — considerably more common than home burglary on a per-unit basis, but far less common than identity theft.

The 2022–2023 theft spike had a specific and well-documented cause: millions of Hyundai and Kia vehicles manufactured without engine immobilizers proved trivially easy to steal using a USB cable, a technique popularized on social media. The subsequent decline is equally attributable to a specific intervention — manufacturer-issued software updates, free steering-wheel locks, and law-enforcement task forces targeting the exploit. This pattern is a useful reminder that aggregate crime statistics sometimes reflect a single vulnerability and its patch cycle rather than a broad trend in criminal behavior.

Geography is the dominant risk factor. Washington, D.C. recorded a theft rate more than three times the national average in 2024. The San Francisco-Oakland metro area was similarly elevated. Rural areas are an order of magnitude lower. Vehicle age, model, and whether it has an engine immobilizer matter nearly as much. A late-model vehicle with factory anti-theft in a low-crime suburb faces a cumulative ownership risk well below 1%; a pre-immobilizer Hyundai parked on a high-theft urban block is in a different category entirely.

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] National Insurance Crime Bureau — Vehicle Thefts in United States Fell 17% in 2024
    Vehicle Thefts in United States Fell 17% in 2024
    Statistic
    850,708 vehicles stolen in the US in 2024; national rate 250.2 per 100,000 residents; 17% decline from 2023
    Excerpt
    “"In 2024, 850,708 vehicles were stolen nationwide, a 17% decline from 2023 when 1,020,729 vehicles were stolen, marking the largest annual decrease in stolen vehicles in the last 40 years." ”
    Source data from
    2025-03-18
    Accessed
    2026-04-12 · archived copy
    Calculation
    NICB compiles theft data from law enforcement agencies nationwide. The 850,708 figure for 2024 is divided by approximately 283 million registered vehicles (FHWA Highway Statistics) to yield a per-vehicle annual rate of ~0.00301. The NICB-reported rate of 250.2 per 100,000 residents uses population as the denominator; the per-vehicle rate is slightly lower because there are more registered vehicles than people. Compounded over 12 years of ownership: 1 − (1 − 0.00301)^12 ≈ 0.0355. Using the 2015–2024 average rate of ~0.0025 gives 1 − (1 − 0.0025)^12 ≈ 0.0296.
    Independence
    NICB aggregates data from law enforcement agencies; the FBI Crime Data Explorer independently reports motor vehicle theft through the UCR/NIBRS pipeline. Both converge on similar totals.
  2. [2] FBI Crime Data Explorer — UCR Summary of Reported Crimes in the Nation, 2024
    UCR Summary of Reported Crimes in the Nation, 2024
    Statistic
    Motor vehicle theft rate of 258.8 per 100,000 inhabitants in 2024; estimated 19.4% decrease from 2023
    Excerpt
    “"In 2024, the estimated motor vehicle theft rate dropped 19.4% compared with the previous year. The motor vehicle theft rate was 258.8 per 100,000 inhabitants." ”
    Source data from
    2025-07-02
    Accessed
    2026-04-12 · archived copy
    Calculation
    FBI UCR data uses a population denominator (inhabitants, not vehicles). The 258.8 per 100,000 inhabitants figure is consistent with NICB's 250.2 per 100,000 residents — the small difference reflects slightly different population estimates and reporting coverage. Both confirm the order of magnitude: roughly 850K–880K thefts in 2024. The 19.4% year-over-year drop is the largest single-year decline in four decades, following the post-pandemic theft spike driven partly by Hyundai/Kia ignition vulnerabilities.
    Independence
    FBI UCR/NIBRS is an independent law-enforcement reporting pipeline. NICB data comes from insurance-industry and law-enforcement sources. Agreement on the theft total and direction of change provides strong cross-validation.
  3. [3] National Insurance Crime Bureau — Vehicles Stolen With Keys Left Inside On The Rise
    Vehicles Stolen With Keys Left Inside On The Rise
    Statistic
    By the end of 2021, just over 100,000 thefts facilitated by keys or key fobs were reported nationally, accounting for 11% of all US vehicle thefts that year; up more than 20% from 2019.
    Excerpt
    “"A recent NICB report analyzed vehicle theft data from 2019 through 2021 and found an increase of more than 20% in thefts facilitated by keys. This also includes vehicle thefts where key fobs were left inside the vehicle. By the end of 2021, just over 100,000 thefts facilitated by keys or key fobs were reported nationally. This total accounts for 11% of vehicle thefts of all types reported in the U.S. in 2021." ”
    Source data from
    2023-01-26
    Accessed
    2026-05-25 · archived copy
    Calculation
    Supports the keys-in / unlocked dimension of the caveats. The 11%-of-thefts figure is a share-of-incidents statistic, not a per-vehicle-night rate ratio, so it cannot be converted to a clean relative-risk multiplier without an estimate of what fraction of parked-vehicle nights have keys left inside (NICB notes the true share is likely higher than reported because drivers under-disclose). The number is cited as a behavioural-risk anchor in the caveats rather than added to personal_factor_multipliers, where every other entry is grounded in a directly measured rate ratio (HLDI claim rates, FBI UCR metro vs national, etc.).
    Independence
    NICB compiles this figure from member-insurer claims and law-enforcement reports. It is the only US-wide tally of keys-facilitated thefts; FBI UCR does not break thefts out by circumstance.

412 risks with measured probability
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& measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 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drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238