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

Statistics

South Dakota missing persons & unsolved case statistics

Numbers behind 275 missing person, death by force, unidentified, unclaimed, serial killer and mass murder cases in South 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 South Dakota
275
119 open · 144 solved / resolved
Missing Persons
55
48 still missing · 12.7% located
Deaths by Force
216
68 unsolved · 66.8% solved
Unidentified Remains
3
3 unidentified · 0% identified
Serial killer profiles
1
by the state where they killed
Added in the last 30 days
3
56 added or updated
Oldest open case
1890
Sitting Bull, Grand River, SD · unsolved

“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 55 48 still missing
Deaths by Force 216 68 unsolved
Unidentified Remains 3 3 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 %
Rapid CitySD82433746.3%
Sioux FallsSD59213763.8%
Pine RidgeSD1981055.6%
Eagle ButteSD64233.3%
AberdeenSD5400%
PorcupineSD53240%
Lower BruleSD43125%
OglalaSD3300%
HuronSD32133.3%
Hot SpringsSD32133.3%
Wounded KneeSD2200%
KyleSD41375%
SissetonSD41375%
Box ElderSD31266.7%
WatertownSD31150%
MitchellSD21150%
RosebudSD21150%
SturgisSD21150%
DeadwoodSD21150%
Fort ThompsonSD1100%
HarrisburgSD1100%
ArlingtonSD1100%
White RiverSD1100%
Grand RiverSD1100%
Rosebud Indian ReservationSD1100%
MissionSD1100%
MobridgeSD1100%
Belle FourcheSD1100%
PierreSD1100%
OacomaSD1100%
LeadSD1100%
St. FrancisSD1100%
ParmeleeSD1100%
Medicine MountainSD1100%
St. OngeSD1100%
PlatteSD505100%
CentervilleSD303100%
YanktonSD303100%
MandersonSD303100%
ScotlandSD303100%

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

Cases where the person is recorded as American Indian, Alaska Native, Indigenous or First Nations. 12 missing persons were reported missing from tribal land (10 still missing).

CSV
State / provinceMissingStill missingDeaths by forceUnsolvedUnidentified / unclaimedTotal
South Dakota282272350100

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: 31.8 missing · 31.3 deaths by force · 27.0 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
SD1707558
<2%2–55–1010–2020–3535–5050%+fewer than 10 cases

Rewards offered 3 deaths by force cases list a reward, and 2 of them are still unsolved.

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: Unknown / not recorded1100%

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 South Dakota.

CSV
NamePlaceDateYearsAgeSex
Jewel WheelerPine Ridge, SDJan 19735330Male
Perry Robinson Jr.Pine Ridge, SDApr 19735335Male
Delma Sits PoorPine Ridge, SDFeb 19745213Female
Delema Sits PoorPine Ridge, SDFeb 19745212Female
Ellabeth LodermeierSioux Falls, SDMar 19745225Female
Donna LarrabeeRapid City, SDNov 19765016Female
Edward UlverSioux Falls, SDJan 19774932Male
Stanley StroleAberdeen, SDMar 19794737Male
Franklin Little BearMobridge, SDAug 19804618Male
Doris Brings PlentyRapid City, SDOct 19834332Female
Barbara RandallRapid City, SDJan 19844219Female
Sharon BaldeagleEagle Butte, SDSep 19844212Female
Lori Jealous Of HimPorcupine, SDSep 19893713Female
Lori Lee Jealous Of HimPorcupine, SDSep 19893713Female
Terry Good Voice ElkRapid City, SDNov 19913527Male
Robert Odman Sr.Sioux Falls, SDJan 19963053Male
Pamela DunnWatertown, SDDec 20012538Female
Linda GroverSturgis, SDDec 20012541Female
Linda LawPierre, SDAug 20022455Female
Beverly Ozuna-ulrichBelle Fourche, SDOct 20032342Female
Richard WhitecalfRapid City, SDJul 20042271Male
Andrew LufkinsSisseton, SDApr 20101623Male
Stanley HarrisSioux Falls, SDSep 20101670Male
Catherine TornquistHot Springs, SDOct 20111555Female
David RuggieroHuron, SDNov 20121436Male

Longest-open deaths by force

The 25 oldest unsolved cases in South Dakota.

CSV
NamePlaceDateYearsAgeSex
Sitting BullGrand River, SDDec 189013658Male
Clifford HawleyHuron, SDSep 190911725Male
Lawrence LamontWounded Knee, SDApr 19735331Male
Frank ClearwaterWounded Knee, SDApr 19735347Male
Perry Ray RobinsonPine Ridge, SDApr 19735335Male
Agatha White BuffaloRosebud Indian Re…, SDNov 19735334Female
Joe StuntzOglala, SDJun 19755123Male
Joseph Bedell StuntzOglala, SDJun 19755123Male
Timothy Bull BearRapid City, SD19903647Male
Monica Bercier-WickreAberdeen, SDApr 19933342Female
Lauren Two BullsRapid City, SD19982833Male
Lonnie IshamRapid City, SD19982843Male
Ben Long WolfRapid City, SDMay 19982836Male
Royce Yellow HawkRapid City, SDNov 19982826Male
Randell Two CrowRapid City, SDDec 19982848Male
George HattonRapid City, SD19992756Male
Allen HoughRapid City, SD19992742Male
Dirk BartlingRapid City, SDMay 19992744Male
Wilbur G. JohnsonRapid City, SDDec 20002642Male
Victoria EaglemanLower Brule, SDAug 20062033Female
Christopher Javier CappsRapid City, SDMay 20101622Male
East LeeEagle Butte, SDOct 20151119Male
Michael CrawfordRapid City, SDNov 20151156Male
Lake TaylorBox Elder, SDMar 2018820Male
David ButlerRapid City, SDSep 2019759Male

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. “South Dakota Missing Persons & Unsolved Case Statistics.” Data as of October 29, 2026. https://crimesolverscentral.com/statistics/south-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.