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Crime · reviewed 2026-04-19

What are the odds of being killed by an intimate partner?

Evidence quality 4.38/5

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
2/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.38/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 1,767

0.06% lifetime chance

Most people underestimate this.

range 1 in 2,500 to 1 in 1,176

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 353 1 in 8,834

● your factors — click this risk ▾ to reveal

≈ As likely as

A closed door with a thin shadow across the threshold against a muted background, flat vector illustration.

Perceived

Intimate-partner homicide occupies a peculiar position in public risk perception. It is simultaneously the subject of intense advocacy attention and strikingly absent from standard crime-fear polls, which tend to ask about stranger violence. Most women, when asked informally, place their risk of being killed by a partner somewhere between "negligible" and "something that happens to other people." Domestic-violence awareness campaigns, meanwhile, emphasise frequency and severity in ways that can make the risk feel omnipresent. Neither framing tracks the epidemiology particularly well.

Rough estimate: Most women have no quantified estimate; advocacy framing suggests 'disturbingly common'

Source: editorial intuition, not polled

Actual

~0.96 per 100,000 women per year

US women, all ages, 2018-2021 average (CDC NVDRS)

Show derivation

CDC MMWR (August 2024) reports intimate-partner homicide rates among US women of 0.97 per 100,000 (2018-2019) and 0.95 per 100,000 (2020-2021), averaging ~0.96 per 100,000 per year. BJS separately finds that 34% of the ~4,970 female murder victims in 2021 were killed by intimate partners, yielding ~1,690 IPH deaths that year — consistent with the NVDRS rate applied to the ~175 million US female population. Compounded over 59 years of adult life: 1 − (1 − 9.6e-6)^59 ≈ 5.66e-4, or roughly 1 in 1,770. This is a population average across all US women regardless of relationship status. The uncertainty band reflects both measurement variation (NVDRS vs. BJS figures differ slightly) and year-to-year fluctuation. For US men, the intimate- partner homicide rate is roughly one-fifth the female rate.

Caveats: The headline number is a population average across all US women regardless of re…

The headline number is a population average across all US women regardless of relationship status, age, or demographics. It therefore understates the risk for women in abusive relationships and overstates it for women who are not in relationships or who have low-risk partnerships. The strongest individual predictor of IPH is a prior history of intimate-partner violence in the relationship. The gender disparity is stark — roughly 5:1 female-to-male — but male victims of IPH do exist and are likely undercounted due to reporting barriers. Racial disparities are substantial and persistent: Black women face approximately 3x the IPH rate of White women. The period immediately following separation from an abusive partner is the single highest-risk window, which complicates simplistic "just leave" advice. Firearms are present in roughly two-thirds of IPH cases, and state-level firearm access laws correlate with IPH rates in ecological analyses. The NVDRS data used here covered 48 states plus DC by 2021 but was not fully national in the earlier years of the 2018-2021 window. This entry complements the general homicide-us entry by focusing on the intimate-partner subset and its distinctive risk profile.

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

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Honor killing

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Domestic violence

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Homicide

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Dowry death

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Transport

Killing a cyclist

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Teen road-crash death

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Night walk assault

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Compare to:

The CDC’s National Violent Death Reporting System recorded 3,991 female victims of intimate-partner homicide across 2018-2021, yielding a rate of roughly 0.96 per 100,000 women per year. The Bureau of Justice Statistics independently confirms the scale: 34% of the approximately 4,970 women murdered in 2021 were killed by an intimate partner. Compounded over an adult lifetime, the probability for a US woman is approximately 1 in 1,770 — about one-sixth the lifetime odds of being murdered by anyone at all, and roughly 33x more likely than dying in a plane crash.

What makes this risk distinctive is how sharply it diverges from the standard crime-fear template. Most violent-crime worry centres on strangers in unfamiliar places; intimate-partner homicide happens overwhelmingly in the victim’s own home (68% of cases) and is committed by someone the victim knows well (98.5% male suspects). Firearms are the mechanism in two-thirds of cases. The risk is not evenly distributed across a woman’s life: it concentrates during relationship-formation years (ages 18-44) and spikes during and immediately after separation from an abusive partner, a period that multiple studies identify as the single most dangerous window. This clustering means the population-average figure substantially understates the risk for women in abusive relationships while overstating it for the broader population.

Racial disparities are large and persistent. Black women accounted for roughly 30% of intimate-partner homicide victims during 2018-2021 despite constituting about 13% of the female population — a gap that widened during the pandemic years. Male victims of intimate-partner homicide exist but at roughly one-fifth the female per-capita rate (BJS: 6% of male murder victims vs. 34% of female murder victims were killed by a partner). State-level ecological analyses find correlations between firearm access laws and IPH rates, though disentangling causation from correlation in observational data remains contested. The entry uses population-average figures; individual risk depends heavily on relationship history, which no population denominator can fully capture.

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] CDC Morbidity and Mortality Weekly Report (MMWR) — Notes from the Field: Intimate Partner Homicide Among Women — United States, 2018–2021
    Notes from the Field: Intimate Partner Homicide Among Women — United States, 2018–2021
    Statistic
    3,991 female victims of intimate partner homicide, 2018-2021; rates of 0.97 per 100,000 (2018-2019) and 0.95 per 100,000 (2020-2021)
    Excerpt
    “"During 2018–2021, a total of 3,991 female victims of intimate partner homicide were identified [...] Rates of intimate partner homicide during 2018–2019 (0.97 per 100,000) and 2020–2021 (0.95) were not significantly different." ”
    Source data from
    2024-08-29
    Accessed
    2026-04-18 · archived copy
    Calculation
    Primary native figure: ~0.96 per 100,000 women per year (average of 2018-2019 and 2020-2021 periods). 3,991 victims over 4 years ≈ 998 per year. Compounded: 1 − (1 − 9.6e-6)^59 ≈ 5.66e-4. The NVDRS covered 48 states plus DC by 2021, providing near-national coverage.
  2. [2] Bureau of Justice Statistics (BJS) — Female Murder Victims and Victim-Offender Relationship, 2021
    Female Murder Victims and Victim-Offender Relationship, 2021
    Statistic
    34% of ~4,970 female murder victims in 2021 were killed by an intimate partner; 76% were killed by someone known to them
    Excerpt
    “"Of the estimated 4,970 female victims of murder and nonnegligent manslaughter in 2021, 34% were killed by an intimate partner [...] About 6% of the 17,970 males murdered that year were victims of intimate partner homicide." ”
    Source data from
    2022-11-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    34% of 4,970 ≈ 1,690 female IPH victims in 2021. Applied to ~175 million US females: 1,690 / 175,000,000 ≈ 9.66 per million ≈ 0.97 per 100,000. Cross-checks the NVDRS rate to within rounding. The 6% figure for males (≈1,078 male IPH victims) confirms the strong gender disparity: women are ~5x more likely to be killed by an intimate partner per unit of population.
  3. [3] Injury Epidemiology / BMC (peer-reviewed) — Femicide in the United States: a call for legal codification and national surveillance
    Femicide in the United States: a call for legal codification and national surveillance
    Statistic
    Approximately half of all female homicides in the US are intimate-partner-related; firearms used in approximately two-thirds of cases
    Excerpt
    “"Femicide accounts for a significant proportion of female homicides in the United States, with intimate partner violence being the leading context [...] Firearms are the predominant weapon used in femicides." ”
    Source data from
    2024-03-11
    Accessed
    2026-04-18 · archived copy
    Calculation
    Provides broader framing and confirms that IPV-related homicide constitutes the largest single category of female homicide in the US. The "approximately half" figure is higher than BJS's 34% because this study uses a broader definition that includes ex-partners and dating partners more comprehensively. Used for contextual cross-check, not for the primary rate calculation.

412 risks with measured probability
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acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & 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 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating 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