SlideShare a Scribd company logo
Serial Killer Statistics
The tables in this report are based on information from the Radford University/FGCU
Serial Killer Database. The purpose of the database is to gather data so that researchers
and teachers will have accurate information about serial killers. In 2012, Radford
University partnered with Florida Gulf Coast University to ensure that the database is
continually updated and that summary reports will be made available on an annual basis.
As of September 6, 2014, the database contains information on 3,873 serial killers and
11,187 victims of serial killers.
When citing information from this report, the following reference should be used:
Aamodt, M. G. (2014, September 6). Serial killer statistics. Retrieved (insert date of
retrieval) from http://maamodt.asp.radford.edu/serial killer information center/project
description.htm
Questions about the database or the statistics in this report can be addressed to Dr. Mike
Aamodt at Radford University, maamodt@radford.edu
1
Serial Killer Frequency by Decade
(Decade of First Kill)
Decade US International Total
1900 19 13 32
1910 34 16 50
1920 34 29 63
1930 39 24 63
1940 37 40 77
1950 50 35 85
1960 168 67 235
1970 512 145 657
1980 680 192 872
1990 572 269 841
2000 318 229 547
2010 73 53 126
Source: Radford University/FGCU Serial Killer Database
Updated 9/6/2014
2
U.S. Serial Killers
Percentage by Race and Decade
Individual, Team, & Organizational
Race
Decade White Black Hispanic Asian Native American
1900 68.4 31.6 0.0 0.0 0.0
1910 51.5 48.5 0.0 0.0 0.0
1920 73.5 26.5 0.0 0.0 0.0
1930 69.2 30.8 0.0 0.0 0.0
1940 73.0 21.6 2.7 0.0 2.7
1950 76.0 24.0 0.0 0.0 0.0
1960 71.9 25.7 0.6 0.0 1.8
1970 62.0 33.7 3.0 0.4 1.0
1980 54.6 36.5 6.8 0.6 1.5
1990 41.9 47.7 8.6 1.8 0.0
2000 31.8 56.6 10.7 0.6 0.3
2010 34.2 56.2 9.6 0.0 0.0
TOTAL 52.1 40.3 6.1 0.7 0.8
Source: Radford University/FGCU Serial Killer Database
Updated 9/6/2014
3
Frequency of Serial Killers
Gender by Decade
N Percent
Decade Men Women Men Women
1900 19 13 59.4 40.6
1910 37 13 74.0 26.0
1920 50 13 79.4 20.6
1930 53 10 84.1 15.9
1940 68 9 88.3 11.7
1950 73 12 85.9 14.1
1960 217 18 92.3 7.7
1970 620 36 94.5 5.5
1980 811 61 93.0 7.0
1990 782 59 93.0 7.0
2000 498 47 91.4 8.6
2010 119 7 94.4 5.6
TOTAL 3514 356 90.8 9.2
Note: Numbers reflect U.S. and International serial killers
Note: Total includes decades not listed on this chart
Source: Radford University/FGCU Serial Killer Database
9/6/2014
4
A Problem With The Typical Profile
Characteristic Percent
Male 92.30%
White 52.45%
Mid-to-late twenties 27.00%
White, male 46.09%
White, male, mid-to-late twenties 12.57%
Note: Only U.S. serial killers included in this chart
Source: Radford University/FGCU Serial Killer Database
September 6, 2014
5
Broad Motives
Race (U.S. Only)
Motive N Percentage White Black Hisp Asian
Enjoyment (thrill, lust, power) 1335 46.11% 46.6% 34.1% 41.6% 75.0%
Financial Gain 917 31.68% 30.3% 37.4% 27.4% 8.3%
Multiple Motives 235 8.12% 9.1% 11.0% 10.6% 16.7%
Anger 227 7.84% 8.4% 8.0% 6.2% 0.0%
Gang Activity/Criminal Enterprise 95 3.28% 1.3% 7.8% 12.4% 0.0%
Avoid Arrest 35 1.21% 1.9% 1.1% 0.9% 0.0%
Attention 18 0.62% 1.1% 0.0% 0.9% 0.0%
Convenience 21 0.73% 0.7% 0.2% 0.0% 0.0%
Hallucinations 12 0.41% 0.5% 0.4% 0.0% 0.0%
Cult 6 0.21% 0.3% 0.0% 0.0% 0.0%
TOTAL 2895 1143 803 113 12
Source: Radford University/FGCU Serial Killer Database
September 6, 2014
6
Serial Killer IQ
Basic Statistics
N 252
Average IQ 94.7
Median IQ 86.0
Lowest 54
Highest 186
Killing Method N Average
Bomb 3 140.3
Strangle/Gun 4 112.8
Strangle/Bludgeon 8 101.1
Strangle 52 98.2
Strangle/Stab 12 97.7
Stab/Gun 20 95.2
Stab/Bludgeon 10 94.1
Stab 28 92.6
Gun 63 92.0
Bludgeon/Gun 7 82.7
Bludgeon 12 82.3
Poison 2 78.5
Raped Victims
No 131 94.8
Yes 120 93.8
Type
Organized 123 99.2
Disorganized 69 92.8
Mixed 11 105.4
Number of Kills
Two 66 88.8
Three 56 93.0
Four 23 94.8
Five 20 100.0
More than five 87 99.0
Necrophillia
No 228 94.2
Yes 24 99.7
Source: Radford University/FGCU Serial Killer Database
Updated September 6, 2014
7
Serial Killers and Military Service
U.S. U.S. & International
Men Women Total Men Women Total
Overall N 1,088 162 1,250 1,365 600 1,965
No Military 76.1% 100.0% 79.2% 75.7% 99.6% 79.6%
Military 23.9% 0.0% 20.8% 24.3% 0.4% 20.4%
Army 46.9% 54.2%
Navy 22.2% 19.4%
Air Force 10.7% 10.6%
Marines 19.8% 15.5%
Coast Guard 0.4% 0.3%
Source: Radford University/FGCU Serial Killer Database
September 6, 2014
Serial Killers Active While in Military Country
Armstrong, John Eric US
Bunday, Thomas Richard US
Christopher, Joseph G. US
Copeland, Michael England
Cummins, Gordon Frederick England
Elton, Dwayne W. US
Fowler, George William US
Grant, Gary Gene US
Gray, Ronald Adrian US
Grimson, Allan England
Hance, William Henry US
Joubert, John US
Korn, Donald US
Latham, James Douglas US
Leonski, Edward Joseph Australia
McKnight, Anthony US
McManus, Fred Eugene US
Percy, Derek Ernst Australia
Shrader, Marcus III US
Torrez, Jorge Avila US
Valenti, Richard Raymond US
Williams, David Russell Canada
Yershov, Vadim Russia
York, George R. US
8
Serial Killers by Country
Country Number of Serial Killers
United States 2,625
England 142
S. Africa 101
Italy 100
Japan 88
Germany 75
Canada 74
Australia 72
Russia 64
India 57
France 52
China 41
Mexico 23
Austria 17
Brazil 15
Poland 15
Scotland 13
Spain 13
Netherlands 11
Sweden 10
Note: Serial killers operating in multiple countries are not included
Source: Radford University/FGCU Serial Killer Database
September 6, 2014
9
Characteristics of U.S. Serial Killer Victims
N %
Sex
Female 5,209 53.81%
Male 4,472 46.19%
Race
White 5,704 68.21%
Black 1,991 23.81%
Hispanic 546 6.53%
Asian 122 1.46%
Sex & Race
White Female 3,272 39.40%
White Male 2,409 29.01%
Black Female 992 11.94%
Black Male 964 11.61%
Hispanic Male 345 4.15%
Hispanic Female 201 2.42%
Asian Male 66 0.79%
Asian Female 56 0.67%
Age
Average 33.50
Median 28.00
Mode 19.00
Actual Age N % Cumulative %
<1 137 1.54% 1.54%
1 42 0.47% 2.02%
2 47 0.53% 2.54%
3 46 0.52% 3.06%
4 48 0.54% 3.60%
5 40 0.45% 4.05%
6 47 0.53% 4.58%
7 49 0.55% 5.13%
8 55 0.62% 5.75%
9 75 0.84% 6.60%
10 63 0.71% 7.31%
11 62 0.70% 8.00%
12 92 1.04% 9.04%
13 106 1.19% 10.23%
14 142 1.60% 11.83%
15 192 2.16% 13.99%
16 212 2.39% 16.38%
17 242 2.72% 19.11%
18 290 3.27% 22.37%
19 312 3.51% 25.88%
20 266 2.99% 28.88%
21 287 3.23% 32.11%
22 293 3.30% 35.41%
23 232 2.61% 38.02%
24 248 2.79% 40.81%
25 226 2.54% 43.36%
10
Characteristics of U.S. Serial Killer Victims
Actual Age N % Cumulative %
26 228 2.57% 45.92%
27 221 2.49% 48.41%
28 180 2.03% 50.44%
29 212 2.39% 52.83%
30 192 2.16% 54.99%
31 156 1.76% 56.74%
32 154 1.73% 58.48%
33 136 1.53% 60.01%
34 158 1.78% 61.79%
35 158 1.78% 63.57%
36 137 1.54% 65.11%
37 129 1.45% 66.56%
38 135 1.52% 68.08%
39 121 1.36% 69.44%
40 123 1.38% 70.83%
41 105 1.18% 72.01%
42 118 1.33% 73.34%
43 95 1.07% 74.41%
44 95 1.07% 75.48%
45 102 1.15% 76.63%
46 79 0.89% 77.52%
47 77 0.87% 78.38%
48 81 0.91% 79.30%
49 69 0.78% 80.07%
50 92 1.04% 81.11%
51 67 0.75% 81.86%
52 74 0.83% 82.70%
53 63 0.71% 83.40%
54 53 0.60% 84.00%
55 57 0.64% 84.64%
56 60 0.68% 85.32%
57 56 0.63% 85.95%
58 55 0.62% 86.57%
59 53 0.60% 87.17%
60 66 0.74% 87.91%
61 43 0.48% 88.39%
62 64 0.72% 89.11%
63 42 0.47% 89.59%
64 48 0.54% 90.13%
65 56 0.63% 90.76%
66 39 0.44% 91.20%
67 42 0.47% 91.67%
68 48 0.54% 92.21%
69 52 0.59% 92.79%
70 30 0.34% 93.13%
71 29 0.33% 93.46%
72 46 0.52% 93.98%
73 38 0.43% 94.40%
74 32 0.36% 94.76%
75 38 0.43% 95.19%
11
Characteristics of U.S. Serial Killer Victims
Actual Age N % Cumulative %
76 32 0.36% 95.55%
77 26 0.29% 95.85%
78 31 0.35% 96.19%
79 37 0.42% 96.61%
80 36 0.41% 97.02%
81 40 0.45% 97.47%
82 32 0.36% 97.83%
83 31 0.35% 98.18%
84 19 0.21% 98.39%
85 28 0.32% 98.71%
86 23 0.26% 98.96%
87 23 0.26% 99.22%
88 12 0.14% 99.36%
89 13 0.15% 99.50%
90 14 0.16% 99.66%
91 11 0.12% 99.79%
92 4 0.05% 99.83%
93 3 0.03% 99.86%
94 3 0.03% 99.90%
95 3 0.03% 99.93%
96 0 0.00% 99.93%
97 2 0.02% 99.95%
98 2 0.02% 99.98%
99 1 0.01% 99.99%
100 1 0.01% 100.00%
TOTAL 8,882
September 6, 2014
Source: Radford University/FGCU Serial Killer Database
12
Characteristics of U.S. Serial Killer Victims
Victim 2010
Victims By State N Rank Population Rank Difference
California 1,491 1 1 0
Texas 794 2 2 0
Florida 778 3 4 1
Illinois 551 4 5 1
New York 531 5 3 -2
Pennsylvania 345 6 6 0
Ohio 325 7 7 0
Georgia 309 8 9 1
Michigan 303 9 8 -1
Indiana 291 10 15 5
Washington 278 11 13 2
Louisiana 276 12 25 13
Missouri 259 13 18 5
North Carolina 232 14 10 -4
Virginia 221 15 12 -3
New Jersey 185 16 11 -5
Oklahoma 176 17 28 11
District of Columbia 168 18 50 32
Maryland 154 19 19 0
Oregon 154 19 27 8
Alabama 149 21 23 2
South Carolina 143 22 24 2
Colorado 140 23 22 -1
Massachusetts 139 24 14 -10
Arizona 137 25 16 -9
Tennessee 132 26 17 -9
Kansas 126 27 33 6
Kentucky 107 28 26 -2
Connecticut 94 29 29 0
Nevada 92 30 35 5
Wisconsin 90 31 20 -11
Arkansas 87 32 32 0
Utah 77 33 34 1
Mississippi 64 34 31 -3
Nebraska 62 35 38 3
Minnesota 52 36 21 -15
Iowa 49 37 30 -7
New Mexico 48 38 36 -2
Alaska 45 39 47 8
Montana 44 41 44 3
13
Characteristics of U.S. Serial Killer Victims
Victim 2010
Victims By State N Rank Population Rank Difference
Idaho 39 40 39 -1
West Virginia 28 42 37 -5
Maine 23 43 41 -2
Wyoming 19 44 51 7
Rhode Island 16 45 43 -2
Delaware 14 46 45 -1
North Dakota 11 47 48 1
Vermont 11 47 49 2
New Hampshire 9 49 42 -7
Hawaii 8 50 40 -10
South Dakota 6 51 46 -5
TOTAL 9,882
Method by Which Victim Was Killed
Method of Death N Percent
Shot 3,543 41.74%
Strangled 1,981 23.34%
Stabbed 1,289 15.19%
Bludgeoned 765 9.01%
Poisoned 549 6.47%
Axed 126 1.48%
Drowned 83 0.98%
Burned 57 0.67%
Smothered 56 0.66%
Run over 16 0.19%
Drug overdose 13 0.15%
Neglect & Abuse 10 0.12%
TOTAL 8,488
Source: Radford University/FGCU Serial Killer Database
September 6, 2014
14
Number of Serial Killer Victims by Year
1900-1939 1940-1979 1980 - present
Year U.S. Canada Year U.S. Canada Year U.S. Canada
1900 16 0 1940 7 0 1980 288 3
1901 6 1 1941 5 0 1981 242 14
1902 10 0 1942 7 0 1982 213 4
1903 7 0 1943 10 0 1983 231 3
1904 10 0 1944 12 1 1984 284 7
1905 11 0 1945 20 2 1985 255 5
1906 19 0 1946 21 5 1986 294 3
1907 18 0 1947 9 0 1987 355 6
1908 8 0 1948 15 0 1988 214 2
1909 15 0 1949 8 0 1989 255 10
1910 10 0 1950 14 0 1990 217 5
1911 47 0 1951 20 0 1991 246 10
1912 56 0 1952 7 0 1992 249 11
1913 12 0 1953 21 0 1993 244 4
1914 21 0 1954 22 0 1994 227 2
1915 10 0 1955 13 0 1995 226 8
1916 10 0 1956 21 2 1996 200 4
1917 12 0 1957 21 1 1997 196 14
1918 14 0 1958 27 0 1998 171 11
1919 15 0 1959 13 0 1999 177 12
1920 26 0 1960 32 0 2000 136 7
1921 40 0 1961 27 0 2001 128 9
1922 13 0 1962 27 0 2002 168 3
1923 29 0 1963 31 4 2003 129 7
1924 6 0 1964 40 0 2004 144 5
1925 16 0 1965 35 1 2005 127 4
1926 39 0 1966 74 0 2006 134 3
1927 14 2 1967 33 1 2007 135 5
1928 14 0 1968 51 0 2008 96 0
1929 7 0 1969 85 3 2009 116 3
1930 8 0 1970 78 4 2010 112 10
1931 16 0 1971 128 2 2011 86 5
1932 14 0 1972 128 2 2012 78 7
1933 16 0 1973 175 7 2013 40 3
1934 14 0 1974 223 8 2014 9 0
1935 14 0 1975 149 9 2015 0 0
1936 8 0 1976 141 1 2016 0 0
1937 17 0 1977 189 4 2017 0 0
1938 16 0 1978 237 5 2018 0 0
1939 12 0 1979 217 5 2019 0 0
Source: Radford/FGCU Serial Killer Database
Updated: 9/6/2014
Note: The numbers for 2013 and 2014 should be interpreted with caution as there is normally a lag
between a murder and the identification of the serial killer.
15

More Related Content

What's hot

The evolution of firearms
The evolution of firearmsThe evolution of firearms
The evolution of firearmsdepaolis3035
 
Forensic Science Introduction
Forensic Science IntroductionForensic Science Introduction
Forensic Science Introduction
University of Southern Mississippi
 
LISTA 05 – FAMÍLIAS COM 0 OU 1 CRITÉRIO; #POCONET
LISTA 05 – FAMÍLIAS COM 0 OU 1 CRITÉRIO; #POCONETLISTA 05 – FAMÍLIAS COM 0 OU 1 CRITÉRIO; #POCONET
LISTA 05 – FAMÍLIAS COM 0 OU 1 CRITÉRIO; #POCONET
Julio Fontes
 
Profile of a Serial Killer by Ronee\' Simmons
Profile of a Serial Killer by Ronee\' SimmonsProfile of a Serial Killer by Ronee\' Simmons
Profile of a Serial Killer by Ronee\' Simmonsrasimmons88
 
Sally Mann
Sally MannSally Mann
Sally Mann
johnyzed
 
Role of Forensic Scientists in Laboratory & Crime Scene.pptx
Role of Forensic Scientists in Laboratory & Crime Scene.pptxRole of Forensic Scientists in Laboratory & Crime Scene.pptx
Role of Forensic Scientists in Laboratory & Crime Scene.pptx
Applied Forensic Research Sciences
 
Digital Forensics Case Study on BTK Killer
Digital Forensics Case Study on BTK KillerDigital Forensics Case Study on BTK Killer
Digital Forensics Case Study on BTK Killer
Vamshi Srinivas Veeramachaneni
 

What's hot (7)

The evolution of firearms
The evolution of firearmsThe evolution of firearms
The evolution of firearms
 
Forensic Science Introduction
Forensic Science IntroductionForensic Science Introduction
Forensic Science Introduction
 
LISTA 05 – FAMÍLIAS COM 0 OU 1 CRITÉRIO; #POCONET
LISTA 05 – FAMÍLIAS COM 0 OU 1 CRITÉRIO; #POCONETLISTA 05 – FAMÍLIAS COM 0 OU 1 CRITÉRIO; #POCONET
LISTA 05 – FAMÍLIAS COM 0 OU 1 CRITÉRIO; #POCONET
 
Profile of a Serial Killer by Ronee\' Simmons
Profile of a Serial Killer by Ronee\' SimmonsProfile of a Serial Killer by Ronee\' Simmons
Profile of a Serial Killer by Ronee\' Simmons
 
Sally Mann
Sally MannSally Mann
Sally Mann
 
Role of Forensic Scientists in Laboratory & Crime Scene.pptx
Role of Forensic Scientists in Laboratory & Crime Scene.pptxRole of Forensic Scientists in Laboratory & Crime Scene.pptx
Role of Forensic Scientists in Laboratory & Crime Scene.pptx
 
Digital Forensics Case Study on BTK Killer
Digital Forensics Case Study on BTK KillerDigital Forensics Case Study on BTK Killer
Digital Forensics Case Study on BTK Killer
 

Viewers also liked

The representations of serial killers
The representations of serial killersThe representations of serial killers
The representations of serial killers
South Sefton College
 
Unchristian road warrior - Book of Eli
Unchristian road warrior - Book of EliUnchristian road warrior - Book of Eli
Unchristian road warrior - Book of Eli
South Sefton College
 
Religion in film
Religion in filmReligion in film
Religion in film
South Sefton College
 
Perception of mental illness based upon its portrayal in film
Perception of mental illness based upon its portrayal in filmPerception of mental illness based upon its portrayal in film
Perception of mental illness based upon its portrayal in film
South Sefton College
 
Disability in Media
Disability in Media Disability in Media
Disability in Media
South Sefton College
 
Representations of Disability
Representations of DisabilityRepresentations of Disability
Representations of Disability
jfoster10
 
Serial Killers Male vs Female
Serial Killers Male vs FemaleSerial Killers Male vs Female
Serial Killers Male vs FemaleEmma Bruford
 
The dangers of portraying hitler
The dangers of portraying hitlerThe dangers of portraying hitler
The dangers of portraying hitler
South Sefton College
 
Downfall and beyond hitler films from germany
Downfall and beyond   hitler films from germanyDownfall and beyond   hitler films from germany
Downfall and beyond hitler films from germany
South Sefton College
 
Bruno gantz on playing hitler
Bruno gantz on playing hitlerBruno gantz on playing hitler
Bruno gantz on playing hitler
South Sefton College
 
Projecting h itler representations of adolf hitler in english language gilms
Projecting h itler   representations of adolf hitler in english language gilms Projecting h itler   representations of adolf hitler in english language gilms
Projecting h itler representations of adolf hitler in english language gilms
South Sefton College
 
Theories of authorship part 2 andrew sarris
Theories of authorship part 2 andrew sarrisTheories of authorship part 2 andrew sarris
Theories of authorship part 2 andrew sarrisSouth Sefton College
 
The representations of gender in horror films essay
The representations of gender in horror films  essayThe representations of gender in horror films  essay
The representations of gender in horror films essayBeccihammond
 
Serial killer project
Serial killer projectSerial killer project
Serial killer projectmabrandt
 

Viewers also liked (20)

The representations of serial killers
The representations of serial killersThe representations of serial killers
The representations of serial killers
 
Unchristian road warrior - Book of Eli
Unchristian road warrior - Book of EliUnchristian road warrior - Book of Eli
Unchristian road warrior - Book of Eli
 
Surveillance in film
Surveillance in filmSurveillance in film
Surveillance in film
 
Disability in film
Disability in filmDisability in film
Disability in film
 
Religion in film
Religion in filmReligion in film
Religion in film
 
Perception of mental illness based upon its portrayal in film
Perception of mental illness based upon its portrayal in filmPerception of mental illness based upon its portrayal in film
Perception of mental illness based upon its portrayal in film
 
Disability in Media
Disability in Media Disability in Media
Disability in Media
 
Representations of Disability
Representations of DisabilityRepresentations of Disability
Representations of Disability
 
Serial Killers Male vs Female
Serial Killers Male vs FemaleSerial Killers Male vs Female
Serial Killers Male vs Female
 
Fbi Profile Sheet
Fbi Profile SheetFbi Profile Sheet
Fbi Profile Sheet
 
The dangers of portraying hitler
The dangers of portraying hitlerThe dangers of portraying hitler
The dangers of portraying hitler
 
Downfall and beyond hitler films from germany
Downfall and beyond   hitler films from germanyDownfall and beyond   hitler films from germany
Downfall and beyond hitler films from germany
 
Bruno gantz on playing hitler
Bruno gantz on playing hitlerBruno gantz on playing hitler
Bruno gantz on playing hitler
 
Projecting h itler representations of adolf hitler in english language gilms
Projecting h itler   representations of adolf hitler in english language gilms Projecting h itler   representations of adolf hitler in english language gilms
Projecting h itler representations of adolf hitler in english language gilms
 
Profile Of A Killer Example
Profile Of A Killer ExampleProfile Of A Killer Example
Profile Of A Killer Example
 
Theories of authorship part 2 andrew sarris
Theories of authorship part 2 andrew sarrisTheories of authorship part 2 andrew sarris
Theories of authorship part 2 andrew sarris
 
The representations of gender in horror films essay
The representations of gender in horror films  essayThe representations of gender in horror films  essay
The representations of gender in horror films essay
 
Theories of authorship part 1
Theories of authorship part 1Theories of authorship part 1
Theories of authorship part 1
 
The long shadow of 9:11
The long shadow of 9:11The long shadow of 9:11
The long shadow of 9:11
 
Serial killer project
Serial killer projectSerial killer project
Serial killer project
 

Similar to Serial killer statistics

2015 HIV SURVEILLANCE DATA IN THE U.S. In.docx
2015 HIV SURVEILLANCE DATA IN THE U.S.  In.docx2015 HIV SURVEILLANCE DATA IN THE U.S.  In.docx
2015 HIV SURVEILLANCE DATA IN THE U.S. In.docx
lorainedeserre
 
Suicide and murder statistics for 2016
Suicide and murder statistics for 2016Suicide and murder statistics for 2016
Suicide and murder statistics for 2016
Richard Gardner
 
healthcare healthcare statistics.pdf
healthcare healthcare statistics.pdfhealthcare healthcare statistics.pdf
healthcare healthcare statistics.pdf
sdfghj21
 
Applications of Serial Homicide Data - Killers in Pairs
Applications of Serial Homicide Data - Killers in PairsApplications of Serial Homicide Data - Killers in Pairs
Applications of Serial Homicide Data - Killers in Pairs
NU_Atypical_Homicide_Research_Group1
 
Analysis of 2017 suicide and murder statistics from CDC
Analysis of 2017 suicide and murder statistics from CDCAnalysis of 2017 suicide and murder statistics from CDC
Analysis of 2017 suicide and murder statistics from CDC
Richard Gardner
 
Istation Report - 1 September
Istation Report - 1 SeptemberIstation Report - 1 September
Istation Report - 1 September
albertrodriguez5150
 
Community Attitudes To Sex On Premises Venues And Their Patrons
Community Attitudes To Sex On Premises Venues And Their PatronsCommunity Attitudes To Sex On Premises Venues And Their Patrons
Community Attitudes To Sex On Premises Venues And Their Patrons
Australian Federation of AIDS Organisations
 
2016 nevada hiv fast facts
2016 nevada hiv fast facts 2016 nevada hiv fast facts
2016 nevada hiv fast facts
#GOMOJO, INC.
 
Cancer Epidemiology part I
Cancer Epidemiology part ICancer Epidemiology part I
Cancer Epidemiology part I
Tarek Tawfik Amin
 
Suicide and murder stats from 2015
Suicide and murder stats from 2015Suicide and murder stats from 2015
Suicide and murder stats from 2015
Richard Gardner
 
U.S. Presidential Election 2016 Popular Vote Statistics
U.S. Presidential Election 2016 Popular Vote StatisticsU.S. Presidential Election 2016 Popular Vote Statistics
U.S. Presidential Election 2016 Popular Vote Statistics
Jeremy Shih
 
The body in the bag
The body in the bagThe body in the bag
The body in the baglinds10
 
The Body in the Bag
The Body in the BagThe Body in the Bag
The Body in the Baglinds10
 
Globocan 2020 Viet Nam.pdf
Globocan 2020 Viet Nam.pdfGlobocan 2020 Viet Nam.pdf
Globocan 2020 Viet Nam.pdf
John Nguyen
 
Rhodes College Fall Classic (Results)
Rhodes College Fall Classic (Results)Rhodes College Fall Classic (Results)
Rhodes College Fall Classic (Results)
UTTylerPatriots
 
Istation Report - 2 October
Istation Report - 2 OctoberIstation Report - 2 October
Istation Report - 2 October
albertrodriguez5150
 
Gun violence in the united states by state
Gun violence in the united states by stateGun violence in the united states by state
Gun violence in the united states by state
juandemariana
 
Us coronavirus data as of may 1, 2020 just data
Us coronavirus data as of may 1, 2020  just dataUs coronavirus data as of may 1, 2020  just data
Us coronavirus data as of may 1, 2020 just data
James Orr
 

Similar to Serial killer statistics (20)

2015 HIV SURVEILLANCE DATA IN THE U.S. In.docx
2015 HIV SURVEILLANCE DATA IN THE U.S.  In.docx2015 HIV SURVEILLANCE DATA IN THE U.S.  In.docx
2015 HIV SURVEILLANCE DATA IN THE U.S. In.docx
 
Suicide and murder statistics for 2016
Suicide and murder statistics for 2016Suicide and murder statistics for 2016
Suicide and murder statistics for 2016
 
healthcare healthcare statistics.pdf
healthcare healthcare statistics.pdfhealthcare healthcare statistics.pdf
healthcare healthcare statistics.pdf
 
Applications of Serial Homicide Data - Killers in Pairs
Applications of Serial Homicide Data - Killers in PairsApplications of Serial Homicide Data - Killers in Pairs
Applications of Serial Homicide Data - Killers in Pairs
 
Analysis of 2017 suicide and murder statistics from CDC
Analysis of 2017 suicide and murder statistics from CDCAnalysis of 2017 suicide and murder statistics from CDC
Analysis of 2017 suicide and murder statistics from CDC
 
Acspc 027765
Acspc 027765Acspc 027765
Acspc 027765
 
Istation Report - 1 September
Istation Report - 1 SeptemberIstation Report - 1 September
Istation Report - 1 September
 
Community Attitudes To Sex On Premises Venues And Their Patrons
Community Attitudes To Sex On Premises Venues And Their PatronsCommunity Attitudes To Sex On Premises Venues And Their Patrons
Community Attitudes To Sex On Premises Venues And Their Patrons
 
2016 nevada hiv fast facts
2016 nevada hiv fast facts 2016 nevada hiv fast facts
2016 nevada hiv fast facts
 
Cancer Epidemiology part I
Cancer Epidemiology part ICancer Epidemiology part I
Cancer Epidemiology part I
 
Suicide and murder stats from 2015
Suicide and murder stats from 2015Suicide and murder stats from 2015
Suicide and murder stats from 2015
 
U.S. Presidential Election 2016 Popular Vote Statistics
U.S. Presidential Election 2016 Popular Vote StatisticsU.S. Presidential Election 2016 Popular Vote Statistics
U.S. Presidential Election 2016 Popular Vote Statistics
 
The body in the bag
The body in the bagThe body in the bag
The body in the bag
 
The Body in the Bag
The Body in the BagThe Body in the Bag
The Body in the Bag
 
Afc prevalence 06_table8b
Afc prevalence 06_table8bAfc prevalence 06_table8b
Afc prevalence 06_table8b
 
Globocan 2020 Viet Nam.pdf
Globocan 2020 Viet Nam.pdfGlobocan 2020 Viet Nam.pdf
Globocan 2020 Viet Nam.pdf
 
Rhodes College Fall Classic (Results)
Rhodes College Fall Classic (Results)Rhodes College Fall Classic (Results)
Rhodes College Fall Classic (Results)
 
Istation Report - 2 October
Istation Report - 2 OctoberIstation Report - 2 October
Istation Report - 2 October
 
Gun violence in the united states by state
Gun violence in the united states by stateGun violence in the united states by state
Gun violence in the united states by state
 
Us coronavirus data as of may 1, 2020 just data
Us coronavirus data as of may 1, 2020  just dataUs coronavirus data as of may 1, 2020  just data
Us coronavirus data as of may 1, 2020 just data
 

More from South Sefton College

Fellowship handout
Fellowship handoutFellowship handout
Fellowship handout
South Sefton College
 
Film analysis of_blue_is_the_warmest_col
Film analysis of_blue_is_the_warmest_colFilm analysis of_blue_is_the_warmest_col
Film analysis of_blue_is_the_warmest_col
South Sefton College
 
Ethnicity and race intro to film studies
Ethnicity and race intro to film studiesEthnicity and race intro to film studies
Ethnicity and race intro to film studies
South Sefton College
 
Lesbian and gay cinema intro to film studies
Lesbian and gay cinema intro to film studiesLesbian and gay cinema intro to film studies
Lesbian and gay cinema intro to film studies
South Sefton College
 
50 shades of grey good until it's not
50 shades of grey good until it's not50 shades of grey good until it's not
50 shades of grey good until it's not
South Sefton College
 
Erin Heath - Theories of Film Spectatorship
Erin Heath - Theories of Film SpectatorshipErin Heath - Theories of Film Spectatorship
Erin Heath - Theories of Film Spectatorship
South Sefton College
 
Oakley theory filmspectator
Oakley theory filmspectatorOakley theory filmspectator
Oakley theory filmspectator
South Sefton College
 
Artefacts of disability
Artefacts of disabilityArtefacts of disability
Artefacts of disability
South Sefton College
 
Disney's disabled characters
Disney's disabled charactersDisney's disabled characters
Disney's disabled characters
South Sefton College
 
People painted over_whitewashing_of_minority_actors_in_recent_film-_and _tele...
People painted over_whitewashing_of_minority_actors_in_recent_film-_and _tele...People painted over_whitewashing_of_minority_actors_in_recent_film-_and _tele...
People painted over_whitewashing_of_minority_actors_in_recent_film-_and _tele...
South Sefton College
 
Lesson 17 women and aco (ob)
Lesson 17 women and aco (ob)Lesson 17 women and aco (ob)
Lesson 17 women and aco (ob)
South Sefton College
 
Assimilation 2015
Assimilation 2015Assimilation 2015
Assimilation 2015
South Sefton College
 
Spr homework
Spr homeworkSpr homework
Spr homework
South Sefton College
 
Lesson 8 past papers and first drafts
Lesson 8   past papers and first draftsLesson 8   past papers and first drafts
Lesson 8 past papers and first draftsSouth Sefton College
 
Nazi script exemplar page one
Nazi script exemplar page oneNazi script exemplar page one
Nazi script exemplar page one
South Sefton College
 

More from South Sefton College (20)

Fellowship handout
Fellowship handoutFellowship handout
Fellowship handout
 
Film analysis of_blue_is_the_warmest_col
Film analysis of_blue_is_the_warmest_colFilm analysis of_blue_is_the_warmest_col
Film analysis of_blue_is_the_warmest_col
 
Ethnicity and race intro to film studies
Ethnicity and race intro to film studiesEthnicity and race intro to film studies
Ethnicity and race intro to film studies
 
Lesbian and gay cinema intro to film studies
Lesbian and gay cinema intro to film studiesLesbian and gay cinema intro to film studies
Lesbian and gay cinema intro to film studies
 
50 shades of grey good until it's not
50 shades of grey good until it's not50 shades of grey good until it's not
50 shades of grey good until it's not
 
Erin Heath - Theories of Film Spectatorship
Erin Heath - Theories of Film SpectatorshipErin Heath - Theories of Film Spectatorship
Erin Heath - Theories of Film Spectatorship
 
Oakley theory filmspectator
Oakley theory filmspectatorOakley theory filmspectator
Oakley theory filmspectator
 
Artefacts of disability
Artefacts of disabilityArtefacts of disability
Artefacts of disability
 
Disney's disabled characters
Disney's disabled charactersDisney's disabled characters
Disney's disabled characters
 
People painted over_whitewashing_of_minority_actors_in_recent_film-_and _tele...
People painted over_whitewashing_of_minority_actors_in_recent_film-_and _tele...People painted over_whitewashing_of_minority_actors_in_recent_film-_and _tele...
People painted over_whitewashing_of_minority_actors_in_recent_film-_and _tele...
 
Lesson 17 women and aco (ob)
Lesson 17 women and aco (ob)Lesson 17 women and aco (ob)
Lesson 17 women and aco (ob)
 
Assimilation 2015
Assimilation 2015Assimilation 2015
Assimilation 2015
 
Spr homework
Spr homeworkSpr homework
Spr homework
 
Film politics and ideology
Film politics and ideologyFilm politics and ideology
Film politics and ideology
 
Lesson 8 past papers and first drafts
Lesson 8   past papers and first draftsLesson 8   past papers and first drafts
Lesson 8 past papers and first drafts
 
Gay cinema exemplar final
Gay cinema exemplar finalGay cinema exemplar final
Gay cinema exemplar final
 
Lesson 7 primary research
Lesson 7   primary researchLesson 7   primary research
Lesson 7 primary research
 
Nazi script exemplar page one
Nazi script exemplar page oneNazi script exemplar page one
Nazi script exemplar page one
 
Lesson 6 layout
Lesson 6 layoutLesson 6 layout
Lesson 6 layout
 
Beginning with a quote
Beginning with a quoteBeginning with a quote
Beginning with a quote
 

Recently uploaded

Fish and Chips - have they had their chips
Fish and Chips - have they had their chipsFish and Chips - have they had their chips
Fish and Chips - have they had their chips
GeoBlogs
 
How to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERPHow to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERP
Celine George
 
Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
GeoBlogs
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
PedroFerreira53928
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
RaedMohamed3
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
Celine George
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
bennyroshan06
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxStudents, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
EduSkills OECD
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
Nguyen Thanh Tu Collection
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
MIRIAMSALINAS13
 
The French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free downloadThe French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free download
Vivekanand Anglo Vedic Academy
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
Jisc
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
Cambridge International AS  A Level Biology Coursebook - EBook (MaryFosbery J...Cambridge International AS  A Level Biology Coursebook - EBook (MaryFosbery J...
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
AzmatAli747758
 

Recently uploaded (20)

Fish and Chips - have they had their chips
Fish and Chips - have they had their chipsFish and Chips - have they had their chips
Fish and Chips - have they had their chips
 
How to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERPHow to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERP
 
Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxStudents, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
 
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
 
The French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free downloadThe French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free download
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
Cambridge International AS  A Level Biology Coursebook - EBook (MaryFosbery J...Cambridge International AS  A Level Biology Coursebook - EBook (MaryFosbery J...
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
 

Serial killer statistics

  • 1. Serial Killer Statistics The tables in this report are based on information from the Radford University/FGCU Serial Killer Database. The purpose of the database is to gather data so that researchers and teachers will have accurate information about serial killers. In 2012, Radford University partnered with Florida Gulf Coast University to ensure that the database is continually updated and that summary reports will be made available on an annual basis. As of September 6, 2014, the database contains information on 3,873 serial killers and 11,187 victims of serial killers. When citing information from this report, the following reference should be used: Aamodt, M. G. (2014, September 6). Serial killer statistics. Retrieved (insert date of retrieval) from http://maamodt.asp.radford.edu/serial killer information center/project description.htm Questions about the database or the statistics in this report can be addressed to Dr. Mike Aamodt at Radford University, maamodt@radford.edu 1
  • 2. Serial Killer Frequency by Decade (Decade of First Kill) Decade US International Total 1900 19 13 32 1910 34 16 50 1920 34 29 63 1930 39 24 63 1940 37 40 77 1950 50 35 85 1960 168 67 235 1970 512 145 657 1980 680 192 872 1990 572 269 841 2000 318 229 547 2010 73 53 126 Source: Radford University/FGCU Serial Killer Database Updated 9/6/2014 2
  • 3. U.S. Serial Killers Percentage by Race and Decade Individual, Team, & Organizational Race Decade White Black Hispanic Asian Native American 1900 68.4 31.6 0.0 0.0 0.0 1910 51.5 48.5 0.0 0.0 0.0 1920 73.5 26.5 0.0 0.0 0.0 1930 69.2 30.8 0.0 0.0 0.0 1940 73.0 21.6 2.7 0.0 2.7 1950 76.0 24.0 0.0 0.0 0.0 1960 71.9 25.7 0.6 0.0 1.8 1970 62.0 33.7 3.0 0.4 1.0 1980 54.6 36.5 6.8 0.6 1.5 1990 41.9 47.7 8.6 1.8 0.0 2000 31.8 56.6 10.7 0.6 0.3 2010 34.2 56.2 9.6 0.0 0.0 TOTAL 52.1 40.3 6.1 0.7 0.8 Source: Radford University/FGCU Serial Killer Database Updated 9/6/2014 3
  • 4. Frequency of Serial Killers Gender by Decade N Percent Decade Men Women Men Women 1900 19 13 59.4 40.6 1910 37 13 74.0 26.0 1920 50 13 79.4 20.6 1930 53 10 84.1 15.9 1940 68 9 88.3 11.7 1950 73 12 85.9 14.1 1960 217 18 92.3 7.7 1970 620 36 94.5 5.5 1980 811 61 93.0 7.0 1990 782 59 93.0 7.0 2000 498 47 91.4 8.6 2010 119 7 94.4 5.6 TOTAL 3514 356 90.8 9.2 Note: Numbers reflect U.S. and International serial killers Note: Total includes decades not listed on this chart Source: Radford University/FGCU Serial Killer Database 9/6/2014 4
  • 5. A Problem With The Typical Profile Characteristic Percent Male 92.30% White 52.45% Mid-to-late twenties 27.00% White, male 46.09% White, male, mid-to-late twenties 12.57% Note: Only U.S. serial killers included in this chart Source: Radford University/FGCU Serial Killer Database September 6, 2014 5
  • 6. Broad Motives Race (U.S. Only) Motive N Percentage White Black Hisp Asian Enjoyment (thrill, lust, power) 1335 46.11% 46.6% 34.1% 41.6% 75.0% Financial Gain 917 31.68% 30.3% 37.4% 27.4% 8.3% Multiple Motives 235 8.12% 9.1% 11.0% 10.6% 16.7% Anger 227 7.84% 8.4% 8.0% 6.2% 0.0% Gang Activity/Criminal Enterprise 95 3.28% 1.3% 7.8% 12.4% 0.0% Avoid Arrest 35 1.21% 1.9% 1.1% 0.9% 0.0% Attention 18 0.62% 1.1% 0.0% 0.9% 0.0% Convenience 21 0.73% 0.7% 0.2% 0.0% 0.0% Hallucinations 12 0.41% 0.5% 0.4% 0.0% 0.0% Cult 6 0.21% 0.3% 0.0% 0.0% 0.0% TOTAL 2895 1143 803 113 12 Source: Radford University/FGCU Serial Killer Database September 6, 2014 6
  • 7. Serial Killer IQ Basic Statistics N 252 Average IQ 94.7 Median IQ 86.0 Lowest 54 Highest 186 Killing Method N Average Bomb 3 140.3 Strangle/Gun 4 112.8 Strangle/Bludgeon 8 101.1 Strangle 52 98.2 Strangle/Stab 12 97.7 Stab/Gun 20 95.2 Stab/Bludgeon 10 94.1 Stab 28 92.6 Gun 63 92.0 Bludgeon/Gun 7 82.7 Bludgeon 12 82.3 Poison 2 78.5 Raped Victims No 131 94.8 Yes 120 93.8 Type Organized 123 99.2 Disorganized 69 92.8 Mixed 11 105.4 Number of Kills Two 66 88.8 Three 56 93.0 Four 23 94.8 Five 20 100.0 More than five 87 99.0 Necrophillia No 228 94.2 Yes 24 99.7 Source: Radford University/FGCU Serial Killer Database Updated September 6, 2014 7
  • 8. Serial Killers and Military Service U.S. U.S. & International Men Women Total Men Women Total Overall N 1,088 162 1,250 1,365 600 1,965 No Military 76.1% 100.0% 79.2% 75.7% 99.6% 79.6% Military 23.9% 0.0% 20.8% 24.3% 0.4% 20.4% Army 46.9% 54.2% Navy 22.2% 19.4% Air Force 10.7% 10.6% Marines 19.8% 15.5% Coast Guard 0.4% 0.3% Source: Radford University/FGCU Serial Killer Database September 6, 2014 Serial Killers Active While in Military Country Armstrong, John Eric US Bunday, Thomas Richard US Christopher, Joseph G. US Copeland, Michael England Cummins, Gordon Frederick England Elton, Dwayne W. US Fowler, George William US Grant, Gary Gene US Gray, Ronald Adrian US Grimson, Allan England Hance, William Henry US Joubert, John US Korn, Donald US Latham, James Douglas US Leonski, Edward Joseph Australia McKnight, Anthony US McManus, Fred Eugene US Percy, Derek Ernst Australia Shrader, Marcus III US Torrez, Jorge Avila US Valenti, Richard Raymond US Williams, David Russell Canada Yershov, Vadim Russia York, George R. US 8
  • 9. Serial Killers by Country Country Number of Serial Killers United States 2,625 England 142 S. Africa 101 Italy 100 Japan 88 Germany 75 Canada 74 Australia 72 Russia 64 India 57 France 52 China 41 Mexico 23 Austria 17 Brazil 15 Poland 15 Scotland 13 Spain 13 Netherlands 11 Sweden 10 Note: Serial killers operating in multiple countries are not included Source: Radford University/FGCU Serial Killer Database September 6, 2014 9
  • 10. Characteristics of U.S. Serial Killer Victims N % Sex Female 5,209 53.81% Male 4,472 46.19% Race White 5,704 68.21% Black 1,991 23.81% Hispanic 546 6.53% Asian 122 1.46% Sex & Race White Female 3,272 39.40% White Male 2,409 29.01% Black Female 992 11.94% Black Male 964 11.61% Hispanic Male 345 4.15% Hispanic Female 201 2.42% Asian Male 66 0.79% Asian Female 56 0.67% Age Average 33.50 Median 28.00 Mode 19.00 Actual Age N % Cumulative % <1 137 1.54% 1.54% 1 42 0.47% 2.02% 2 47 0.53% 2.54% 3 46 0.52% 3.06% 4 48 0.54% 3.60% 5 40 0.45% 4.05% 6 47 0.53% 4.58% 7 49 0.55% 5.13% 8 55 0.62% 5.75% 9 75 0.84% 6.60% 10 63 0.71% 7.31% 11 62 0.70% 8.00% 12 92 1.04% 9.04% 13 106 1.19% 10.23% 14 142 1.60% 11.83% 15 192 2.16% 13.99% 16 212 2.39% 16.38% 17 242 2.72% 19.11% 18 290 3.27% 22.37% 19 312 3.51% 25.88% 20 266 2.99% 28.88% 21 287 3.23% 32.11% 22 293 3.30% 35.41% 23 232 2.61% 38.02% 24 248 2.79% 40.81% 25 226 2.54% 43.36% 10
  • 11. Characteristics of U.S. Serial Killer Victims Actual Age N % Cumulative % 26 228 2.57% 45.92% 27 221 2.49% 48.41% 28 180 2.03% 50.44% 29 212 2.39% 52.83% 30 192 2.16% 54.99% 31 156 1.76% 56.74% 32 154 1.73% 58.48% 33 136 1.53% 60.01% 34 158 1.78% 61.79% 35 158 1.78% 63.57% 36 137 1.54% 65.11% 37 129 1.45% 66.56% 38 135 1.52% 68.08% 39 121 1.36% 69.44% 40 123 1.38% 70.83% 41 105 1.18% 72.01% 42 118 1.33% 73.34% 43 95 1.07% 74.41% 44 95 1.07% 75.48% 45 102 1.15% 76.63% 46 79 0.89% 77.52% 47 77 0.87% 78.38% 48 81 0.91% 79.30% 49 69 0.78% 80.07% 50 92 1.04% 81.11% 51 67 0.75% 81.86% 52 74 0.83% 82.70% 53 63 0.71% 83.40% 54 53 0.60% 84.00% 55 57 0.64% 84.64% 56 60 0.68% 85.32% 57 56 0.63% 85.95% 58 55 0.62% 86.57% 59 53 0.60% 87.17% 60 66 0.74% 87.91% 61 43 0.48% 88.39% 62 64 0.72% 89.11% 63 42 0.47% 89.59% 64 48 0.54% 90.13% 65 56 0.63% 90.76% 66 39 0.44% 91.20% 67 42 0.47% 91.67% 68 48 0.54% 92.21% 69 52 0.59% 92.79% 70 30 0.34% 93.13% 71 29 0.33% 93.46% 72 46 0.52% 93.98% 73 38 0.43% 94.40% 74 32 0.36% 94.76% 75 38 0.43% 95.19% 11
  • 12. Characteristics of U.S. Serial Killer Victims Actual Age N % Cumulative % 76 32 0.36% 95.55% 77 26 0.29% 95.85% 78 31 0.35% 96.19% 79 37 0.42% 96.61% 80 36 0.41% 97.02% 81 40 0.45% 97.47% 82 32 0.36% 97.83% 83 31 0.35% 98.18% 84 19 0.21% 98.39% 85 28 0.32% 98.71% 86 23 0.26% 98.96% 87 23 0.26% 99.22% 88 12 0.14% 99.36% 89 13 0.15% 99.50% 90 14 0.16% 99.66% 91 11 0.12% 99.79% 92 4 0.05% 99.83% 93 3 0.03% 99.86% 94 3 0.03% 99.90% 95 3 0.03% 99.93% 96 0 0.00% 99.93% 97 2 0.02% 99.95% 98 2 0.02% 99.98% 99 1 0.01% 99.99% 100 1 0.01% 100.00% TOTAL 8,882 September 6, 2014 Source: Radford University/FGCU Serial Killer Database 12
  • 13. Characteristics of U.S. Serial Killer Victims Victim 2010 Victims By State N Rank Population Rank Difference California 1,491 1 1 0 Texas 794 2 2 0 Florida 778 3 4 1 Illinois 551 4 5 1 New York 531 5 3 -2 Pennsylvania 345 6 6 0 Ohio 325 7 7 0 Georgia 309 8 9 1 Michigan 303 9 8 -1 Indiana 291 10 15 5 Washington 278 11 13 2 Louisiana 276 12 25 13 Missouri 259 13 18 5 North Carolina 232 14 10 -4 Virginia 221 15 12 -3 New Jersey 185 16 11 -5 Oklahoma 176 17 28 11 District of Columbia 168 18 50 32 Maryland 154 19 19 0 Oregon 154 19 27 8 Alabama 149 21 23 2 South Carolina 143 22 24 2 Colorado 140 23 22 -1 Massachusetts 139 24 14 -10 Arizona 137 25 16 -9 Tennessee 132 26 17 -9 Kansas 126 27 33 6 Kentucky 107 28 26 -2 Connecticut 94 29 29 0 Nevada 92 30 35 5 Wisconsin 90 31 20 -11 Arkansas 87 32 32 0 Utah 77 33 34 1 Mississippi 64 34 31 -3 Nebraska 62 35 38 3 Minnesota 52 36 21 -15 Iowa 49 37 30 -7 New Mexico 48 38 36 -2 Alaska 45 39 47 8 Montana 44 41 44 3 13
  • 14. Characteristics of U.S. Serial Killer Victims Victim 2010 Victims By State N Rank Population Rank Difference Idaho 39 40 39 -1 West Virginia 28 42 37 -5 Maine 23 43 41 -2 Wyoming 19 44 51 7 Rhode Island 16 45 43 -2 Delaware 14 46 45 -1 North Dakota 11 47 48 1 Vermont 11 47 49 2 New Hampshire 9 49 42 -7 Hawaii 8 50 40 -10 South Dakota 6 51 46 -5 TOTAL 9,882 Method by Which Victim Was Killed Method of Death N Percent Shot 3,543 41.74% Strangled 1,981 23.34% Stabbed 1,289 15.19% Bludgeoned 765 9.01% Poisoned 549 6.47% Axed 126 1.48% Drowned 83 0.98% Burned 57 0.67% Smothered 56 0.66% Run over 16 0.19% Drug overdose 13 0.15% Neglect & Abuse 10 0.12% TOTAL 8,488 Source: Radford University/FGCU Serial Killer Database September 6, 2014 14
  • 15. Number of Serial Killer Victims by Year 1900-1939 1940-1979 1980 - present Year U.S. Canada Year U.S. Canada Year U.S. Canada 1900 16 0 1940 7 0 1980 288 3 1901 6 1 1941 5 0 1981 242 14 1902 10 0 1942 7 0 1982 213 4 1903 7 0 1943 10 0 1983 231 3 1904 10 0 1944 12 1 1984 284 7 1905 11 0 1945 20 2 1985 255 5 1906 19 0 1946 21 5 1986 294 3 1907 18 0 1947 9 0 1987 355 6 1908 8 0 1948 15 0 1988 214 2 1909 15 0 1949 8 0 1989 255 10 1910 10 0 1950 14 0 1990 217 5 1911 47 0 1951 20 0 1991 246 10 1912 56 0 1952 7 0 1992 249 11 1913 12 0 1953 21 0 1993 244 4 1914 21 0 1954 22 0 1994 227 2 1915 10 0 1955 13 0 1995 226 8 1916 10 0 1956 21 2 1996 200 4 1917 12 0 1957 21 1 1997 196 14 1918 14 0 1958 27 0 1998 171 11 1919 15 0 1959 13 0 1999 177 12 1920 26 0 1960 32 0 2000 136 7 1921 40 0 1961 27 0 2001 128 9 1922 13 0 1962 27 0 2002 168 3 1923 29 0 1963 31 4 2003 129 7 1924 6 0 1964 40 0 2004 144 5 1925 16 0 1965 35 1 2005 127 4 1926 39 0 1966 74 0 2006 134 3 1927 14 2 1967 33 1 2007 135 5 1928 14 0 1968 51 0 2008 96 0 1929 7 0 1969 85 3 2009 116 3 1930 8 0 1970 78 4 2010 112 10 1931 16 0 1971 128 2 2011 86 5 1932 14 0 1972 128 2 2012 78 7 1933 16 0 1973 175 7 2013 40 3 1934 14 0 1974 223 8 2014 9 0 1935 14 0 1975 149 9 2015 0 0 1936 8 0 1976 141 1 2016 0 0 1937 17 0 1977 189 4 2017 0 0 1938 16 0 1978 237 5 2018 0 0 1939 12 0 1979 217 5 2019 0 0 Source: Radford/FGCU Serial Killer Database Updated: 9/6/2014 Note: The numbers for 2013 and 2014 should be interpreted with caution as there is normally a lag between a murder and the identification of the serial killer. 15