Crime Solvers Central
Crime Solvers Central
298 Cases Solved. Advancing justice for missing persons, unsolved homicides, unidentified and unclaimed remains.

Statistics

North Dakota missing persons & unsolved case statistics

Numbers behind 206 missing person, death by force, unidentified, unclaimed, serial killer and mass murder cases in North Dakota – by state, decade, age, sex, race and how many are solved. Free to read and link to; members get every breakdown, filters, sortable tables and CSV downloads.

Data as of October 29, 2026 · updated daily · How these numbers are counted

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Cases in North Dakota
206
93 open · 106 solved / resolved
Missing Persons
48
45 still missing · 6.3% located
Deaths by Force
153
46 unsolved · 68.7% solved
Unidentified Remains
4
2 unidentified · 50% identified
Serial killer profiles
1
by the state where they killed
Added in the last 30 days
1
49 added or updated
Oldest open case
1925
Gerald Bartlett, Davils Lake, ND · still missing

“Solved / resolved” means a missing person located, a death by force marked solved or charged, unidentified remains identified, or an unclaimed person claimed. Our homicide records focus on unsolved cases, so these shares are not police clearance rates – see the methodology.

Cases by type

Missing Persons 48 45 still missing
Deaths by Force 153 46 unsolved
Unidentified Remains 4 2 unidentified
Serial Killer Profiles 1

By state & province

Cases per state and per 100,000 residents, a shaded state-by-state list, top cities, and Indigenous missing and murdered (MMIP) by state.

Cases by state and province

Click a state or province to see its statistics. All case types.

CSV

Top cities by open cases

Missing, deaths by force, unidentified and unclaimed cases, by the city recorded on the case.

CSV
CityStateCasesOpenSolved / resolvedSolved / resolved %
FargoND34161852.9%
BismarckND25121045.5%
WillistonND158746.7%
MinotND2061470%
DickinsonND75228.6%
Grand ForksND1641173.3%
West FargoND53240%
WishekND3300%
MandanND82675%
Watford CityND82675%
JamestownND42250%
Devils LakeND32133.3%
AlexanderND32133.3%
TokioND2200%
Sentinel ButteND2200%
CandoND41266.7%
BelcourtND21150%
New TownND21150%
DunseithND1100%
GlenburnND1100%
MedoraND1100%
Fort YatesND1100%
NorthwoodND1100%
StanleyND1100%
SanbornND1100%
BeachND1100%
ButteND1100%
WillstonND1100%
HoraceND1100%
Fort TottenND1100%
GwinnerND1100%
Davils LakeND1100%
MarionND1100%
WashburnND1100%
RiverdaleND1100%
PetersburgND1100%
PortalND1100%
WahpetonND303100%
SourisND202100%
Valley CityND202100%

Indigenous missing and murdered (MMIP), by state / province

Cases where the person is recorded as American Indian, Alaska Native, Indigenous or First Nations. 3 missing persons were reported missing from tribal land (3 still missing).

CSV
State / provinceMissingStill missingDeaths by forceUnsolvedUnidentified / unclaimedTotal
North Dakota5384013

By decade & year

Cases by decade and year, the solved share by decade (the “cold case curve”), and seasonality by month and day of the week.

Cases by decade

Stacked by case type.

CSV

Solved / resolved share by decade

The “cold case curve”: the share of each decade’s cases now marked solved, located, identified or claimed (decades with fewer than 10 cases are left out).

CSV

Cases by year (last 50 years)

Recent years include many newly added cases; older years are more likely to be resolved and removed from public databases.

CSV

Cases by month

Seasonality: month of the case date (only cases with a full date).

CSV

Cases by day of the week

Day of the week of the case date (only cases with a full date).

CSV

By age

Age groups for each case type, solved share by age, average ages and an age / sex pyramid.

Cases by age group

Average age: 36.2 missing · 32.8 deaths by force · 42.5 unidentified.

CSV

Solved / resolved share by age group

Share of each age group’s cases marked solved, located, identified or claimed.

CSV

Age and sex

Male (left) and female (right) by age group – missing, deaths by force, unidentified and unclaimed together.

CSV

By sex

Male / female split for each case type and solved share by sex.

Cases by sex

Share of each case type that is male, female or not recorded.

CSV

Solved / resolved share by sex

Share of male and female cases marked solved, located, identified or claimed.

CSV

By race & ethnicity

Race and ethnicity compared with the U.S. population, and the solved share for each group.

Cases by race / ethnicity

Share of each case type, compared with the U.S. population in the table.

CSV

Solved / resolved share by race / ethnicity

Share of each group’s cases marked solved, located, identified or claimed (groups with fewer than 10 cases are left out).

CSV

Solve rates & how long cases stay open

Case status for deaths by force, how many years open cases have been open, and a state-by-decade solved-share heatmap.

Deaths by force: case status

How each case is recorded. “Charged / in court” counts as solved in the solved share; accidental and self-inflicted deaths are left out of it.

CSV

How long open cases have been open

Years since the case date, for cases still unsolved, missing, unidentified or unclaimed.

CSV

Solved / resolved share by state and decade

Percent of missing, deaths by force, unidentified and unclaimed cases now solved, located, identified or claimed. Hover a cell for the count.

CSV
State1960s1970s1980s1990s2000s2010s2020s
ND116859
<2%2–55–1010–2020–3535–5050%+fewer than 10 cases

Possible matches

Possible missing person / unidentified remains matches by score.

Possible missing person / unidentified matches

102,241 possible matches scoring 75% or higher, involving 13,698 missing persons and 7,876 unidentified remains. Browse the matches.

CSV

Serial killers & mass murders

Serial killers by victims and decade; mass murders by year, place, firearms, attacker and victims.

Serial killers by number of victims

Confirmed victims listed on each profile (1 profiles).

CSV

Serial killers by decade they started

CSV

Serial killers by sex and race

CSV
GroupProfilesShare
Sex: Male1100%
Race: American Indian / Alaska Native / First Nations1100%

Longest-open cases

The oldest unsolved, missing, unidentified and unclaimed cases, linked to each case file.

Longest-open missing persons

The 25 oldest still missing cases in North Dakota.

CSV
NamePlaceDateYearsAgeSex
Gerald BartlettDavils Lake, NDJul 192510121Male
Donna MichalenkoWashburn, NDNov 19685838Female
Kenneth TankFargo, NDDec 19715528Male
Mildred RocheFargo, NDMay 19765038Female
Bruce FalconerBismarck, NDFeb 19814521Male
Barbara CottonWilliston, NDApr 19814515Female
Roy HagelBismarck, NDMar 19893738Male
Oscar MoeWatford City, NDMar 19913578Male
Jeanna NorthFargo, NDJun 19933311Female
Robert AndersonWishek, NDAug 19933331Male
Kristin DiedeWishek, NDAug 19933330Female
Kristen Joy DiedeWishek, NDAug 19933330Female
Kevin MahoneyFargo, NDOct 19933325Male
Leonard Brown, Sr.Fort Totten, NDAug 19943242Male
Michele JulsonBismarck, NDAug 19943226Female
Talmadge PattonAlexander, NDAug 19953175Male
Kristi NikleGrand Forks, NDOct 19963019Female
Joel AmundsonWilliston, NDOct 19963026Male
Connie HilbertGwinner, NDNov 19963045Female
John JacobsonBismarck, NDNov 1996305Male
Sandra JacobsonBismarck, NDNov 19963036Female
Norman LimesandMarion, NDNov 19992782Male
Melissa PatzerJamestown, NDAug 20052141Female
Reachelle SmithMinot, NDMay 2006203Female
Jeffrey Scott KnudsonMandan, NDJun 20062040Male

Longest-open deaths by force

The 25 oldest unsolved cases in North Dakota.

CSV
NamePlaceDateYearsAgeSex
Leland Aster HavenWatford City, NDFeb 19309616Male
Larry Joe PhebusAlexander, NDMar 19636314Male
Lora Jean DuganMedora, NDApr 19725414Female
Daniel Erick JohnsonGlenburn, NDJun 19745219Male
William Billy Wolf JrFargo, NDAug 19784821Male
Barbara Louise CottonWillston, NDApr 19814515Female
Clifton Wendell MarshDevils Lake, NDOct 19814569Male
Joseph AndersonJamestown, NDSep 19913569Male
Ronald JohnsonDunseith, NDNov 19943219Male
Russell TurcotteDevils Lake, NDNov 20022419Male
Anita KnutsonMinot, NDJun 20071918Female
Xavier ThompsonMandan, NDOct 20101622Male
Timothy BowlingDickinson, NDJun 20141231Male
Zachary R MyogetoFargo, NDOct 20141218Male
David PorterDickinson, NDNov 20141237Male
Alexander LutesButte, NDNov 20141215Male
Richard YoungBeach, NDJun 20161024Male
Tammy Lynn BaumgartnerWest Fargo, NDAug 20161045Female
Ethan Jerod ChadwickSanborn, NDOct 20161012Male
Tanner CorricoDickinson, NDNov 20161021Male
Vance Gerrick NesetWilliston, NDJul 2017943Male
Tyler Nathan TalmageGrand Forks, NDMay 2018814Male
Ila Mae Lou AversonFargo, NDJun 2018885Female
Willie Leam PeoplesBismarck, NDJul 2018859Male
Douglas MartinStanley, NDJan 2019749Male

Longest-open unidentified remains

The 25 oldest unidentified cases in North Dakota.

CSV
NamePlaceDateYearsAgeSex
Unidentified MalePortal, NDJan 198046–Male
Unidentified MaleGrand Forks, NDDec 20032335Male

Community activity

Forum discussion, memorials, evidence boards and the most viewed cases.

Community activity

Real member activity on case pages (all cases, not affected by the filters).

CSV
MeasureCount
Cases with member forum discussion: Mass murders19
Cases with member forum discussion: Missing persons379
Cases with member forum discussion: Deaths by force717
Cases with member forum discussion: Serial killers59
Cases with member forum discussion: Unclaimed3
Cases with member forum discussion: Unidentified4
Cases with a MyMemorium memorial5,007
Evidence boards created by members256

Most viewed deaths by force cases

All-time page views.

CSV
CasePlaceViews
Joachim SummerfordAberdeen, NC12,682
Zion TerryRichmond, VA11,602
Travis A. HobbsNew-orleans, LA6,120
Shannon WatkinsJonesboro, GA5,496
Jameal GaudetHarvey, LA4,977
Melanie Lynn BerryWichita-falls, TX4,891
Kiarra Jazzmyn GeorgeSacramento, CA4,732
Romeca MeeksChicago, IL4,147
Shuaib Naz “Shuaiby” AslamStockton, CA3,767
Javon M. BaileyLouisville, KY3,737
Felicito CanalesBaton-rouge, LA3,591
Shawn HudsonThrockmorton County, TX3,563
Eric Tyrone Smith, Sr.Jackson, MS3,334
Benjamin Joseph DeenHattiesburg, MS3,296
David WashingtonPensacola, FL3,279

Methodology & how to cite

These statistics count the cases in the Crime Solvers Central database as of October 29, 2026. They are rebuilt every night.

What is counted

  • Missing persons – NamUs, NCMEC and Canadian police cases. “Located” means the case is marked resolved (found alive or deceased). Age is the age when last seen.
  • Deaths by force – homicides and other violent deaths from police, news, court and public records. “Solved” includes cases marked solved, charged / in court, primary suspect deceased or substantiated. Deaths ruled accidental or self-inflicted are counted but left out of solved shares.
  • Unidentified remains and unclaimed persons – NamUs cases. Unidentified ages use the middle of the medical examiner’s estimated range.
  • Serial killer profiles are placed in the state where they killed and the first year they were active; victims are the confirmed victims listed on the profile. Mass murders are incidents, dated by the attack; attacker and firearm details come from The Violence Project coding where available.
  • Race and ethnicity are as recorded by the source and grouped into broad categories; “Multiracial” is used when more than one is listed.
  • Per-100,000 rates use 2020 U.S. Census and 2021 Canadian Census populations.

Limits

  • This is not a complete count of all crime. Our homicide records lean heavily toward unsolved cases, so the solved share is much lower than official police clearance rates and should not be reported as one.
  • Coverage differs by state and by year: some cities and states have been imported in full, others only partly, and recent years include many newly added cases.
  • Cases without a date, age, state or race are left out of that breakdown only (they still count in the totals).

How to cite

Crime Solvers Central. “North Dakota Missing Persons & Unsolved Case Statistics.” Data as of October 29, 2026. https://crimesolverscentral.com/statistics/north-dakota

You’re welcome to link to this page or to any state’s page (for example /statistics/texas). Each chart’s Cite button copies a citation that links straight to that chart.