SlideShare a Scribd company logo
1 of 6
Running Header: Crime Patterns<br />Identifying Crime Patterns<br />Elizabeth Hall<br />Kaplan University<br />Introduction to Crime Analysis CJ110-03<br />Tracy Walker Townsend<br />1.12.2011<br />-409575-114300           COEUR D’ALENE POLICE<br />      Crime Analyst Unit<br />                             Part I Crimes Comparison to Previous Year Data<br />                        Overall Increase in Part I Crimes <br />                  Decrease in Forcible Rape<br />                         No Change in Motor Vehicle Theft <br />Crime# Reported in 2003# Reported in 2004Decimal     to be ConvertedPercentage of ChangeHomicide15210.440.00%Forcible Rape2319-0.17391304-17.39%Robberies55790.4363636443.64%Aggravated Assaults851150.3529411835.29%Burglaries1251380.10410.40%Motor Vehicle Theft10310300.00%Larceny35380.085714298.57%<br />Work Product of Elizabeth Hall Coeur D’Alene Crime Analysis Unit 1.12.2011<br />Identifying Crime Patterns Essay Questions<br />1. In a short paragraph, explain what you believe the crime trend is for this jurisdiction.<br />I believe that the data for the Coeur D’Alene Police Department jurisdiction depicts an overall increase in Part I Crimes.  These crimes are showing a considerable increase in all violent offenses excluding those of a sexual nature (forcible rape).  By the nature of the crimes that have increased considerably (robberies, aggravated assaults, and homicides), one might infer that there is increasing gang activity in the area. (Siegel, 2010)<br />2. What information don’t we have that might explain some of the increases?<br />The first piece of information that is missing that might explain some of the increases in Part I Crimes in Coeur D’Alene jurisdiction is the number of population.  If there was a large growth in the population of the city, the number of crimes reported might increase, but the per person comparison of the crime rate may stay the same.  Another piece of beneficial information to interpret the increases in these crimes would be a map indicating location of incidents. The last piece of information that I feel is missing is the demographical data concerning the locations of the incidents because this data would contain information on unemployment rates, economical fluctuations, and the ethnic makeup of the areas affected  by the increase, as all of these factors can explain the increases in jurisdictional crime rates. (Wilson, 2009)<br />3. What crime(s) is (are) staying the same?<br />The only crime that stayed the same in the data that we were provided is Motor Vehicle Theft.  Every other crime listed either increased or decreased.<br />4. What crimes should be analyzed a little closer in the hopes of finding a trend?  What would you try to identify?  Would this be a tactical, administrative, or strategic analysis?<br />I believe that the crimes listed that should be analyzed a little closer in the hopes of finding a trend would be the crimes with the largest percentage of increase.  In this case, this would be robberies, with a 43.64 percent increase, homicide with a 40.00 percent increase, and aggravated assaults with a 35.29 percent increase.  The first item to identify, is the geospatial location of the incidents, so I could map them.  Once this is done, I can locate the incident reports by the address and chart any details given in the individual reports to look for similarities in times, days of the week, modus operandi, offender descriptions, and other details that will help me identify any trends.  (Bruce, Hick, & Cooper, 2004)<br />This particular analysis would be classified as strategic, because it is focused on patterns, trends, and causes of crime than in a particular crime or offender or their apprehension.  Tactical analysis refers to the daily routine operations that an analyst performs to identify crime series and hot spots in the jurisdiction.  This may be focused on aiding the apprehension of a particular offender or group of offenders. Administrative analysis involves any kind of crime analysis reporting to administration in your agency to any other analysis not involving the direct apprehension of criminals.  This could be research, statistical reports used in explanation of funding needs for an agency, or demographic charting for the jurisdiction. (Bruce et al, 2004)<br />5. Are the crimes above Part I or Part II crimes?  Explain the difference between the two types.<br />According to the Federal Bureau of Investigation (2004), there are two types of offenses.  The first is called Part I crimes, which are considered serious crimes.  The list of these offenses is as follows, criminal homicide, forcible rape, robbery, aggravated assault, burglary, motor vehicle theft, arson, and larceny with the exception of motor vehicle theft.  These crimes happen on a regular basis, and incident data is collected for the Uniform Crime Report (UCR) monthly. (Federal Bureau of Investigation 2004)<br /> The second is called Part II crimes, and are comprised of less serious criminal activity.  The only data collected on these crimes is arrest data.  The crimes listed in the UCR as  Part II offenses are, simple assaults, forgery, counterfeiting, fraud, embezzlement, buying, receiving, or possessing of stolen property, vandalism, weapons carrying or possession, prostitution, sex offenses, drug abuse violations, and other minor offenses. Vagrancy, public drunkenness, and disorderly conduct are even more Part II offenses.  (Federal Bureau of Investigation 2004)<br />References<br />Bruce, C.W., Hick, S.R., & Cooper, J.P. (2004).  Exploring Crime Analysis Reading on EssentialSkills.  International Association of Crime Analysts.  Overland Park, KS.<br />Federal Bureau of Investigation, (2004).  Crime in the United States 2004.  Appendix II- Offenses in Uniform Crime Reporting.  Retrieved From: http://www2.fbi.gov/ucr/cius_04/appendices/appendix_02.html<br />Siegel, L.J. (2010).  Criminology: Theories, Patterns, and Typologies.  Tenth Edition.  Belmont:     <br />             Wadsworth Cengage Learning.<br />Wilson, J.Q. (2009).  Crime and Economy Don’t Tell the Whole Story.  Los Angeles Times.Retrieved from: http://www.latimes.com/news/opinion/editorials/la-oe-wilson8-2009jan08,0,7541431.story<br />**Police logo was found at: http://www.google.com/images?hl=en&expIds=25657,27955,28009,28203&sugexp=ldymls&xhr=t&q=police+logo+pics&cp=15&um=1&ie=UTF-8&source=univ&ei=wfMtTYqxKo2aOqjFlbkK&sa=X&oi=image_result_group&ct=title&resnum=1&sqi=2&ved=0CCoQsAQwAA&biw=1366&bih=575<br />
Unit 8 project identifying  crime patterns e hall
Unit 8 project identifying  crime patterns e hall
Unit 8 project identifying  crime patterns e hall
Unit 8 project identifying  crime patterns e hall
Unit 8 project identifying  crime patterns e hall

More Related Content

What's hot

LGBT Domestic Violence Report
LGBT Domestic Violence ReportLGBT Domestic Violence Report
LGBT Domestic Violence Report
Skyler Saunders
 
Unit 9 Hall Elizabeth Investigation Essay
Unit 9 Hall Elizabeth Investigation EssayUnit 9 Hall Elizabeth Investigation Essay
Unit 9 Hall Elizabeth Investigation Essay
Elizabeth Hall
 
Hall Elizabeth Unit Two Written assignment
Hall Elizabeth Unit Two Written assignmentHall Elizabeth Unit Two Written assignment
Hall Elizabeth Unit Two Written assignment
Elizabeth Hall
 
Crime stats pressreleasecius09
Crime stats pressreleasecius09Crime stats pressreleasecius09
Crime stats pressreleasecius09
sevans-idaho
 
Police Brutality in Papua New Guinea
Police Brutality in Papua New GuineaPolice Brutality in Papua New Guinea
Police Brutality in Papua New Guinea
Robert Jr. Mor
 

What's hot (18)

SociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared ResourceSociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared Resource
 
Crime statistics
Crime statisticsCrime statistics
Crime statistics
 
National Crime Reporting
National Crime ReportingNational Crime Reporting
National Crime Reporting
 
00 Arrest Networks and the Spread of Violent Victimization
00 Arrest Networks and the Spread of Violent Victimization00 Arrest Networks and the Spread of Violent Victimization
00 Arrest Networks and the Spread of Violent Victimization
 
Frankel Crime Trends Michigan
Frankel Crime Trends MichiganFrankel Crime Trends Michigan
Frankel Crime Trends Michigan
 
Police Brutality
Police BrutalityPolice Brutality
Police Brutality
 
Election hate crime analysis
Election hate crime analysisElection hate crime analysis
Election hate crime analysis
 
LGBT Domestic Violence Report
LGBT Domestic Violence ReportLGBT Domestic Violence Report
LGBT Domestic Violence Report
 
Unit 9 Hall Elizabeth Investigation Essay
Unit 9 Hall Elizabeth Investigation EssayUnit 9 Hall Elizabeth Investigation Essay
Unit 9 Hall Elizabeth Investigation Essay
 
Hall Elizabeth Unit Two Written assignment
Hall Elizabeth Unit Two Written assignmentHall Elizabeth Unit Two Written assignment
Hall Elizabeth Unit Two Written assignment
 
SociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared ResourceSociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared Resource
 
Cja 235 Enthusiastic Study / snaptutorial.com
Cja 235 Enthusiastic Study / snaptutorial.comCja 235 Enthusiastic Study / snaptutorial.com
Cja 235 Enthusiastic Study / snaptutorial.com
 
SociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared ResourceSociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared Resource
 
Crime statistics uses
Crime statistics  usesCrime statistics  uses
Crime statistics uses
 
Crime stats pressreleasecius09
Crime stats pressreleasecius09Crime stats pressreleasecius09
Crime stats pressreleasecius09
 
Police Brutality in Papua New Guinea
Police Brutality in Papua New GuineaPolice Brutality in Papua New Guinea
Police Brutality in Papua New Guinea
 
Lakewood WA, crime, July 2009 report
Lakewood WA, crime, July 2009 reportLakewood WA, crime, July 2009 report
Lakewood WA, crime, July 2009 report
 
GSS
GSSGSS
GSS
 

Similar to Unit 8 project identifying crime patterns e hall

LegitimacyInStLouis
LegitimacyInStLouisLegitimacyInStLouis
LegitimacyInStLouis
Dennis Ellis
 
Deviance, Class 8, Part Ii
Deviance, Class 8, Part IiDeviance, Class 8, Part Ii
Deviance, Class 8, Part Ii
jcarlson1
 
Student #1 I have chosen to write about the history of data anal.docx
Student #1 I have chosen to write about the history of data anal.docxStudent #1 I have chosen to write about the history of data anal.docx
Student #1 I have chosen to write about the history of data anal.docx
johniemcm5zt
 
Mapping Business Challenges to Types of Control © 201.docx
Mapping Business Challenges to Types of Control © 201.docxMapping Business Challenges to Types of Control © 201.docx
Mapping Business Challenges to Types of Control © 201.docx
gertrudebellgrove
 

Similar to Unit 8 project identifying crime patterns e hall (12)

Compstat
CompstatCompstat
Compstat
 
LegitimacyInStLouis
LegitimacyInStLouisLegitimacyInStLouis
LegitimacyInStLouis
 
Police Department Roles And Functions
Police Department Roles And FunctionsPolice Department Roles And Functions
Police Department Roles And Functions
 
Deviance, Class 8, Part Ii
Deviance, Class 8, Part IiDeviance, Class 8, Part Ii
Deviance, Class 8, Part Ii
 
Student #1 I have chosen to write about the history of data anal.docx
Student #1 I have chosen to write about the history of data anal.docxStudent #1 I have chosen to write about the history of data anal.docx
Student #1 I have chosen to write about the history of data anal.docx
 
1-measuring_crime.ppt
1-measuring_crime.ppt1-measuring_crime.ppt
1-measuring_crime.ppt
 
An Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
An Intelligence Analysis of Crime Data for Law Enforcement Using Data MiningAn Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
An Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
 
Mapping Business Challenges to Types of Control © 201.docx
Mapping Business Challenges to Types of Control © 201.docxMapping Business Challenges to Types of Control © 201.docx
Mapping Business Challenges to Types of Control © 201.docx
 
I017665774
I017665774I017665774
I017665774
 
Positional Prediction of Individuals Present In a Crime Scene
Positional Prediction of Individuals Present In a Crime ScenePositional Prediction of Individuals Present In a Crime Scene
Positional Prediction of Individuals Present In a Crime Scene
 
Fairview Park Crime Stats
Fairview Park Crime StatsFairview Park Crime Stats
Fairview Park Crime Stats
 
Crime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los AngelesCrime Data Analysis and Prediction for city of Los Angeles
Crime Data Analysis and Prediction for city of Los Angeles
 

More from Elizabeth Hall

Unit 9 project elizabeth hall assessing competency
Unit 9 project elizabeth hall assessing competencyUnit 9 project elizabeth hall assessing competency
Unit 9 project elizabeth hall assessing competency
Elizabeth Hall
 
Unit 8 project elizabeth hall psychology jury selection
Unit 8 project elizabeth hall psychology jury selectionUnit 8 project elizabeth hall psychology jury selection
Unit 8 project elizabeth hall psychology jury selection
Elizabeth Hall
 
Unit 5 project elizabeth hall psychological roles
Unit 5 project elizabeth hall psychological rolesUnit 5 project elizabeth hall psychological roles
Unit 5 project elizabeth hall psychological roles
Elizabeth Hall
 
Unit 7 project elizabeth hall civil committment and insanity defense
Unit 7 project elizabeth hall civil committment and insanity defenseUnit 7 project elizabeth hall civil committment and insanity defense
Unit 7 project elizabeth hall civil committment and insanity defense
Elizabeth Hall
 
Unit 7 project 9 11 attacks
Unit 7  project 9 11 attacksUnit 7  project 9 11 attacks
Unit 7 project 9 11 attacks
Elizabeth Hall
 
Unit 9 project elizbeth hall
Unit 9 project elizbeth hallUnit 9 project elizbeth hall
Unit 9 project elizbeth hall
Elizabeth Hall
 
Unit 5 project elizbeth hall
Unit 5 project elizbeth hallUnit 5 project elizbeth hall
Unit 5 project elizbeth hall
Elizabeth Hall
 
Unit2 project elizbeth hall
Unit2 project elizbeth hallUnit2 project elizbeth hall
Unit2 project elizbeth hall
Elizabeth Hall
 
Unit 7 assignment elizabeth hall
Unit 7 assignment elizabeth hallUnit 7 assignment elizabeth hall
Unit 7 assignment elizabeth hall
Elizabeth Hall
 
Unit 6 assignment elizabeth hall
Unit 6 assignment elizabeth hallUnit 6 assignment elizabeth hall
Unit 6 assignment elizabeth hall
Elizabeth Hall
 
Unit 5 assignment elizabeth hall
Unit 5 assignment elizabeth hallUnit 5 assignment elizabeth hall
Unit 5 assignment elizabeth hall
Elizabeth Hall
 
Unit 2 assignment elizabeth hall
Unit 2 assignment elizabeth hallUnit 2 assignment elizabeth hall
Unit 2 assignment elizabeth hall
Elizabeth Hall
 
Unit 9 assignment elizabeth hall
Unit 9 assignment elizabeth hallUnit 9 assignment elizabeth hall
Unit 9 assignment elizabeth hall
Elizabeth Hall
 
High Tech (Cyber) Crimes
High Tech (Cyber) CrimesHigh Tech (Cyber) Crimes
High Tech (Cyber) Crimes
Elizabeth Hall
 
Police Information Acces
Police Information AccesPolice Information Acces
Police Information Acces
Elizabeth Hall
 
Hall Elizabeth Seminar 7 Makeup Paper
Hall Elizabeth Seminar 7 Makeup PaperHall Elizabeth Seminar 7 Makeup Paper
Hall Elizabeth Seminar 7 Makeup Paper
Elizabeth Hall
 

More from Elizabeth Hall (20)

Hall del elizabeth del proyecto de la unidad 9 que determina la traducción es...
Hall del elizabeth del proyecto de la unidad 9 que determina la traducción es...Hall del elizabeth del proyecto de la unidad 9 que determina la traducción es...
Hall del elizabeth del proyecto de la unidad 9 que determina la traducción es...
 
Unit 9 project elizabeth hall assessing competency
Unit 9 project elizabeth hall assessing competencyUnit 9 project elizabeth hall assessing competency
Unit 9 project elizabeth hall assessing competency
 
Unit 8 project elizabeth hall psychology jury selection
Unit 8 project elizabeth hall psychology jury selectionUnit 8 project elizabeth hall psychology jury selection
Unit 8 project elizabeth hall psychology jury selection
 
Unit 5 project elizabeth hall psychological roles
Unit 5 project elizabeth hall psychological rolesUnit 5 project elizabeth hall psychological roles
Unit 5 project elizabeth hall psychological roles
 
Unit 7 project elizabeth hall civil committment and insanity defense
Unit 7 project elizabeth hall civil committment and insanity defenseUnit 7 project elizabeth hall civil committment and insanity defense
Unit 7 project elizabeth hall civil committment and insanity defense
 
Unit 7 project 9 11 attacks
Unit 7  project 9 11 attacksUnit 7  project 9 11 attacks
Unit 7 project 9 11 attacks
 
High tech (cyber) crimes
High tech (cyber) crimesHigh tech (cyber) crimes
High tech (cyber) crimes
 
Unit 9 project elizbeth hall
Unit 9 project elizbeth hallUnit 9 project elizbeth hall
Unit 9 project elizbeth hall
 
Unit 5 project elizbeth hall
Unit 5 project elizbeth hallUnit 5 project elizbeth hall
Unit 5 project elizbeth hall
 
Unit2 project elizbeth hall
Unit2 project elizbeth hallUnit2 project elizbeth hall
Unit2 project elizbeth hall
 
Unit 7 assignment elizabeth hall
Unit 7 assignment elizabeth hallUnit 7 assignment elizabeth hall
Unit 7 assignment elizabeth hall
 
Unit 6 assignment elizabeth hall
Unit 6 assignment elizabeth hallUnit 6 assignment elizabeth hall
Unit 6 assignment elizabeth hall
 
Unit 5 assignment elizabeth hall
Unit 5 assignment elizabeth hallUnit 5 assignment elizabeth hall
Unit 5 assignment elizabeth hall
 
Unit 2 assignment elizabeth hall
Unit 2 assignment elizabeth hallUnit 2 assignment elizabeth hall
Unit 2 assignment elizabeth hall
 
Unit 9 assignment elizabeth hall
Unit 9 assignment elizabeth hallUnit 9 assignment elizabeth hall
Unit 9 assignment elizabeth hall
 
Hall elizabeth unit nine project
Hall elizabeth unit nine projectHall elizabeth unit nine project
Hall elizabeth unit nine project
 
High Tech (Cyber) Crimes
High Tech (Cyber) CrimesHigh Tech (Cyber) Crimes
High Tech (Cyber) Crimes
 
Police Information Acces
Police Information AccesPolice Information Acces
Police Information Acces
 
Hall Elizabeth Seminar 7 Makeup Paper
Hall Elizabeth Seminar 7 Makeup PaperHall Elizabeth Seminar 7 Makeup Paper
Hall Elizabeth Seminar 7 Makeup Paper
 
Unit 5 Project
Unit 5 ProjectUnit 5 Project
Unit 5 Project
 

Recently uploaded

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 

Recently uploaded (20)

Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 

Unit 8 project identifying crime patterns e hall

  • 1. Running Header: Crime Patterns<br />Identifying Crime Patterns<br />Elizabeth Hall<br />Kaplan University<br />Introduction to Crime Analysis CJ110-03<br />Tracy Walker Townsend<br />1.12.2011<br />-409575-114300 COEUR D’ALENE POLICE<br /> Crime Analyst Unit<br /> Part I Crimes Comparison to Previous Year Data<br /> Overall Increase in Part I Crimes <br /> Decrease in Forcible Rape<br /> No Change in Motor Vehicle Theft <br />Crime# Reported in 2003# Reported in 2004Decimal to be ConvertedPercentage of ChangeHomicide15210.440.00%Forcible Rape2319-0.17391304-17.39%Robberies55790.4363636443.64%Aggravated Assaults851150.3529411835.29%Burglaries1251380.10410.40%Motor Vehicle Theft10310300.00%Larceny35380.085714298.57%<br />Work Product of Elizabeth Hall Coeur D’Alene Crime Analysis Unit 1.12.2011<br />Identifying Crime Patterns Essay Questions<br />1. In a short paragraph, explain what you believe the crime trend is for this jurisdiction.<br />I believe that the data for the Coeur D’Alene Police Department jurisdiction depicts an overall increase in Part I Crimes. These crimes are showing a considerable increase in all violent offenses excluding those of a sexual nature (forcible rape). By the nature of the crimes that have increased considerably (robberies, aggravated assaults, and homicides), one might infer that there is increasing gang activity in the area. (Siegel, 2010)<br />2. What information don’t we have that might explain some of the increases?<br />The first piece of information that is missing that might explain some of the increases in Part I Crimes in Coeur D’Alene jurisdiction is the number of population. If there was a large growth in the population of the city, the number of crimes reported might increase, but the per person comparison of the crime rate may stay the same. Another piece of beneficial information to interpret the increases in these crimes would be a map indicating location of incidents. The last piece of information that I feel is missing is the demographical data concerning the locations of the incidents because this data would contain information on unemployment rates, economical fluctuations, and the ethnic makeup of the areas affected by the increase, as all of these factors can explain the increases in jurisdictional crime rates. (Wilson, 2009)<br />3. What crime(s) is (are) staying the same?<br />The only crime that stayed the same in the data that we were provided is Motor Vehicle Theft. Every other crime listed either increased or decreased.<br />4. What crimes should be analyzed a little closer in the hopes of finding a trend? What would you try to identify? Would this be a tactical, administrative, or strategic analysis?<br />I believe that the crimes listed that should be analyzed a little closer in the hopes of finding a trend would be the crimes with the largest percentage of increase. In this case, this would be robberies, with a 43.64 percent increase, homicide with a 40.00 percent increase, and aggravated assaults with a 35.29 percent increase. The first item to identify, is the geospatial location of the incidents, so I could map them. Once this is done, I can locate the incident reports by the address and chart any details given in the individual reports to look for similarities in times, days of the week, modus operandi, offender descriptions, and other details that will help me identify any trends. (Bruce, Hick, & Cooper, 2004)<br />This particular analysis would be classified as strategic, because it is focused on patterns, trends, and causes of crime than in a particular crime or offender or their apprehension. Tactical analysis refers to the daily routine operations that an analyst performs to identify crime series and hot spots in the jurisdiction. This may be focused on aiding the apprehension of a particular offender or group of offenders. Administrative analysis involves any kind of crime analysis reporting to administration in your agency to any other analysis not involving the direct apprehension of criminals. This could be research, statistical reports used in explanation of funding needs for an agency, or demographic charting for the jurisdiction. (Bruce et al, 2004)<br />5. Are the crimes above Part I or Part II crimes? Explain the difference between the two types.<br />According to the Federal Bureau of Investigation (2004), there are two types of offenses. The first is called Part I crimes, which are considered serious crimes. The list of these offenses is as follows, criminal homicide, forcible rape, robbery, aggravated assault, burglary, motor vehicle theft, arson, and larceny with the exception of motor vehicle theft. These crimes happen on a regular basis, and incident data is collected for the Uniform Crime Report (UCR) monthly. (Federal Bureau of Investigation 2004)<br /> The second is called Part II crimes, and are comprised of less serious criminal activity. The only data collected on these crimes is arrest data. The crimes listed in the UCR as Part II offenses are, simple assaults, forgery, counterfeiting, fraud, embezzlement, buying, receiving, or possessing of stolen property, vandalism, weapons carrying or possession, prostitution, sex offenses, drug abuse violations, and other minor offenses. Vagrancy, public drunkenness, and disorderly conduct are even more Part II offenses. (Federal Bureau of Investigation 2004)<br />References<br />Bruce, C.W., Hick, S.R., & Cooper, J.P. (2004). Exploring Crime Analysis Reading on EssentialSkills. International Association of Crime Analysts. Overland Park, KS.<br />Federal Bureau of Investigation, (2004). Crime in the United States 2004. Appendix II- Offenses in Uniform Crime Reporting. Retrieved From: http://www2.fbi.gov/ucr/cius_04/appendices/appendix_02.html<br />Siegel, L.J. (2010). Criminology: Theories, Patterns, and Typologies. Tenth Edition. Belmont: <br /> Wadsworth Cengage Learning.<br />Wilson, J.Q. (2009). Crime and Economy Don’t Tell the Whole Story. Los Angeles Times.Retrieved from: http://www.latimes.com/news/opinion/editorials/la-oe-wilson8-2009jan08,0,7541431.story<br />**Police logo was found at: http://www.google.com/images?hl=en&expIds=25657,27955,28009,28203&sugexp=ldymls&xhr=t&q=police+logo+pics&cp=15&um=1&ie=UTF-8&source=univ&ei=wfMtTYqxKo2aOqjFlbkK&sa=X&oi=image_result_group&ct=title&resnum=1&sqi=2&ved=0CCoQsAQwAA&biw=1366&bih=575<br />