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

Statistics

Maryland missing persons & unsolved case statistics

Numbers behind 7,025 missing person, death by force, unidentified, unclaimed, serial killer and mass murder cases in Maryland – 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 Maryland
7,025
6,542 open · 469 solved / resolved
Missing Persons
356
305 still missing · 14.3% located
Deaths by Force
6,272
5,871 unsolved · 6.4% solved
Unidentified Remains
380
363 unidentified · 4.5% identified
Unclaimed Persons
3
3 unclaimed · 0% claimed
Serial killer profiles
13
by the state where they killed
Mass murders
1
5 people killed
Added in the last 30 days
165
560 added or updated
Oldest open case
1901
Murphy Flory, Hagerstown, MD · 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 356 305 still missing
Deaths by Force 6,272 5,871 unsolved
Unidentified Remains 380 363 unidentified
Unclaimed Persons 3 3 unclaimed
Serial Killer Profiles 13
Mass Murders 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 %
BaltimoreMD4,1043,9171874.6%
HyattsvilleMD189173168.5%
Capitol-heightsMD137126118%
Temple-hillsMD110971311.8%
District-heightsMD91811011%
SuitlandMD858055.9%
Upper-marlboroMD716745.6%
Oxon-hillMD6860811.8%
LaurelMD636034.8%
AnnapolisMD64511320.3%
SalisburyMD524935.8%
Fort-washingtonMD524759.6%
LandoverMD474524.3%
WaldorfMD4843510.4%
Silver-springMD53411222.6%
ClintonMD444136.8%
HagerstownMD4437715.9%
BowieMD393725.1%
LanhamMD353238.6%
Glen-burnieMD3430411.8%
ForestvilleMD303000%
RiverdaleMD292900%
ColumbiaMD3328515.2%
ElktonMD3228412.5%
EssexMD302826.7%
BladensburgMD272700%
Temple HillsMD272527.4%
RockvilleMD262513.8%
FrederickMD3123825.8%
GreenbeltMD2623311.5%
GaithersburgMD2623311.5%
GermantownMD232300%
ParkvilleMD2421312.5%
HalethorpeMD232128.7%
Capitol HeightsMD2720725.9%
DundalkMD222029.1%
Oxon HillMD212014.8%
EdgewoodMD2219313.6%
Upper MarlboroMD201915%
CatonsvilleMD201915%

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: 29.0 missing · 31.6 deaths by force · 43.3 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
State1950s1960s1970s1980s1990s2000s2010s2020s
MD002131215
<2%2–55–1010–2020–3535–5050%+fewer than 10 cases

Rewards offered 93 deaths by force cases list a reward, and 86 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 (13 profiles).

CSV

Serial killers by decade they started

CSV

Serial killers by sex and race

CSV
GroupProfilesShare
Sex: Male1076.9%
Sex: Female215.4%
Sex: Unknown17.7%
Race: Black753.8%
Race: White430.8%
Race: Unknown / not recorded215.4%

Mass murders by year

1 incidents. Killed per year is in the table and the next chart.

CSV

People killed in mass murders, by year

CSV

Mass murders by type of place

All incidents in the database (not affected by the filters).

CSV

Firearms used in mass shootings, by type

Firearms recorded in the Violence Project data for incidents up to its last update (90 with 1 firearms, 52 with 2 firearms, 28 with 3 firearms, 31 with 4 or more firearms). All incidents (not affected by the filters).

CSV

Mass murderers: age, sex and race

The attacker in each incident, where recorded.

CSV
GroupIncidentsShare
Sex: Male1100%
Race: Hispanic / Latino1100%
Age: 35-491100%
Setting: Urban105–
Setting: Rural48–
Setting: Suburban48–
Setting: Not recorded68–

Mass murder victims: relationship to the killer

1,728 victims listed; 33.4% female. All incidents (not affected by the filters).

CSV

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 Maryland.

CSV
NamePlaceDateYearsAgeSex
Kenneth HagerBaltimore, MDApr 19477911Male
Betty RobertsBaltimore, MDNov 19596729Female
Mary GreeneEdgemere, MDDec 19666034Female
Bob BoyesPort Republic, MDDec 1968589Male
George BarksdaleBaltimore, MDApr 1969574Male
Lori PeugeotLaVale, MDSep 1969572Female
Linda PeugeotLaVale, MDSep 19695721Female
William EllisBaltimore, MDJun 19715538Male
Solomon Rose IiiBaltimore, MDApr 1972543Male
Katherine LyonWheaton, MDMar 19755110Female
Sheila LyonWheaton, MDMar 19755112Female
Leopold ChromakWheaton, MDJul 19755129Male
Karen KamschPasadena, MDJun 19765014Female
Betty RedmondPasadena, MDSep 19765025Female
Juanita OxenriderPasadena, MDNov 19765028Female
Nancy JasonBethesda, MDJul 19774918Female
Frank Santmyer, Jr.Baltimore, MDDec 19774924Male
Willie ClarkBaltimore, MDMay 19784821Male
Telethia GoodBaltimore, MDSep 1978487Female
Gary MoorePasadena, MDMar 19794726Male
Katherine AndersonChester, MDApr 19794724Female
Lisa LambertBaltimore, MDOct 19794714Female
Zita GutierrezBethesda, MDAug 19804624Female
Lawrence FishmanSilver Spring, MDNov 19804629Male
Nancy SnowAnnapolis, MDNov 19804644Female

Longest-open deaths by force

The 25 oldest unsolved cases in Maryland.

CSV
NamePlaceDateYearsAgeSex
Murphy FloryHagerstown, MDJun 190112531Male
Thomas ThompsonEaston, MDMar 1902124–Male
Charles DonohueBaltimore, MDMay 190212427Male
John McnamaraCurtis-bay, MDMar 190512145Male
Thomas HardyWeverton, MDOct 190512148Male
John DaughertyCrisfield, MDJul 190711952Male
August BakerCumberland, MDOct 190711956Male
Clara LaimbeerBaltimore, MDDec 190711939Female
Harry Hinkson BoonPerryville, MDJun 190911733Male
Charles RouseBaltimore, MDJun 19279934Male
Hunter StotlerBoonsboro, MDJul 19279952Male
Ray MooreBaltimore, MDMar 19448222Male
Fred MooreBaltimore, MDMar 19448244Male
John Brady MurphyBaltimore, MDSep 19537336Male
Frazer CameronCapitol-heights, MDMay 19567032Male
Margaret HaroldAnnapolis, MDJun 19576935Female
Mae HallBaltimore, MDDec 19586838Female
Lottie KightBaltimore, MDDec 19586857Female
Mildred JacksonFredericksburg, MDJan 19596727Female
Susan JacksonFredericksburg, MDJan 1959674Female
Janet JacksonFredericksburg, MDJan 1959671Female
Pearl WeissBaltimore, MDApr 19596738Female
Iva BrubakerSeverna-park, MDFeb 19685848Female
Daniel Kenneth HenrySalisbury, MDMay 19685822Male
Catherine CesnikHalethorpe, MDNov 19695726Female

Longest-open unidentified remains

The 25 oldest unidentified cases in Maryland.

CSV
NamePlaceDateYearsAgeSex
Unidentified MaleHavre de Grace, MDNov 19596760Male
Unidentified MaleWest Hyattsville, MDMay 19646250Male
Unidentified FemaleWayside, MDJan 19656150Female
Unidentified FemaleTuxedo (now Hyatt…, MDNov 19656145Female
Unidentified MaleBaltimore, MDMay 196660–Male
Unidentified MaleBaltimore, MDAug 196660–Male
Unidentified MaleBaltimore, MDAug 196660–Male
Unidentified FemaleBaltimore, MDMar 19675933Female
Unidentified MaleCrownsville, MDJun 19675959Male
Unidentified MaleBaltimore, MDAug 19675965Male
Unidentified MaleBaltimore, MDAug 19675965Male
Unidentified FemaleBaltimore, MDSep 196759–Female
Unidentified MaleBaltimore, MDOct 19675960Male
Unidentified MaleSt. Charles City, MDMar 19685850Male
Unidentified FemaleBaltimore, MDMar 19685868Female
Unidentified MaleAccokeek, MDMar 19685840Male
Unidentified MaleBaltimore, MDApr 19685833Male
Unidentified FemaleBaltimore, MDMay 196858–Female
Unidentified FemaleBaltimore, MDJul 19685843Female
Unidentified MaleBaltimore, MDSep 196858–Male
Unidentified MaleMitchellville, MDNov 19685835Male
Unidentified MalePiscataway, MDNov 19685840Male
Unidentified MaleEaston, MDNov 19695725Male
Unidentified MaleSilver Spring, MDJan 19705650Male
Unidentified MaleCabin John, MDFeb 19705645Male

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. “Maryland Missing Persons & Unsolved Case Statistics.” Data as of October 29, 2026. https://crimesolverscentral.com/statistics/maryland

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.