,Related Tables / Normalized Version,This dataset provides demographic information related to arrests made by the Tempe Police Department. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.,The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.,For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrest Demographic Datasets - Related Tables.,Why this Dataset is Organized this Way?,The related tables such as persons, charges, and locations follow a normalized data model. This structure is often preferred by data professionals for more advanced analysis, filtering, or joining with external datasets.,Providing this format supports a wide range of users, from casual data explorers to experienced analysts.,Understanding the Arrests Data (as related tables),The related tables represent different parts of the arrest data. Each one focuses on a different type of information, like the officers, individuals arrested, charges, and arrest details.,All of these tables connect back to the arrests table, which acts as the central record for each event. This structure is called a normalized model and is often used to manage data in a more efficient way. Visit the User Guide: Understanding the Arrest Demographic Datasets - Related Tables for more details outlining the relationships between the related tables. Data Dictionary Additional Information,Contact Email: PD_DataRequest@tempe.gov Contact Phone: N/A,Link: N/A,Data Source: Versaterm RMS,Data Source Type: SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,

,Related Tables / Normalized Version,This dataset provides demographic information related to arrests made by the Tempe Police Department. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.,The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.,For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrest Demographic Datasets - Related Tables.,Why this Dataset is Organized this Way?,The related tables such as persons, charges, and locations follow a normalized data model. This structure is often preferred by data professionals for more advanced analysis, filtering, or joining with external datasets.,Providing this format supports a wide range of users, from casual data explorers to experienced analysts.,Understanding the Arrests Data (as related tables),The related tables represent different parts of the arrest data. Each one focuses on a different type of information, like the officers, individuals arrested, charges, and arrest details.,All of these tables connect back to the arrests table, which acts as the central record for each event. This structure is called a normalized model and is often used to manage data in a more efficient way. Visit the User Guide: Understanding the Arrest Demographic Datasets - Related Tables for more details outlining the relationships between the related tables. Data Dictionary Additional Information,Contact Email: PD_DataRequest@tempe.gov Contact Phone: N/A,Link: N/A,Data Source: Versaterm RMS,Data Source Type: SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,

,Related Tables / Normalized Version,This dataset provides demographic information related to arrests made by the Tempe Police Department. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.,The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.,For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrest Demographic Datasets - Related Tables.,Why this Dataset is Organized this Way?,The related tables such as persons, charges, and locations follow a normalized data model. This structure is often preferred by data professionals for more advanced analysis, filtering, or joining with external datasets.,Providing this format supports a wide range of users, from casual data explorers to experienced analysts.,Understanding the Arrests Data (as related tables),The related tables represent different parts of the arrest data. Each one focuses on a different type of information, like the officers, individuals arrested, charges, and arrest details.,All of these tables connect back to the arrests table, which acts as the central record for each event. This structure is called a normalized model and is often used to manage data in a more efficient way. Visit the User Guide: Understanding the Arrest Demographic Datasets - Related Tables for more details outlining the relationships between the related tables. Data Dictionary Additional Information,Contact Email: PD_DataRequest@tempe.gov Contact Phone: N/A,Link: N/A,Data Source: Versaterm RMS,Data Source Type: SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,

,Related Tables / Normalized Version,This dataset provides demographic information related to arrests made by the Tempe Police Department. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.,The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.,For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrest Demographic Datasets - Related Tables.,Why this Dataset is Organized this Way?,The related tables such as persons, charges, and locations follow a normalized data model. This structure is often preferred by data professionals for more advanced analysis, filtering, or joining with external datasets.,Providing this format supports a wide range of users, from casual data explorers to experienced analysts.,Understanding the Arrests Data (as related tables),The related tables represent different parts of the arrest data. Each one focuses on a different type of information, like the officers, individuals arrested, charges, and arrest details.,All of these tables connect back to the arrests table, which acts as the central record for each event. This structure is called a normalized model and is often used to manage data in a more efficient way. Visit the User Guide: Understanding the Arrest Demographic Datasets - Related Tables for more details outlining the relationships between the related tables. Data Dictionary Additional Information,Contact Email: PD_DataRequest@tempe.gov Contact Phone: N/A,Link: N/A,Data Source: Versaterm RMS,Data Source Type: SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,

,Related Tables / Normalized Version,This dataset provides demographic information related to arrests made by the Tempe Police Department. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.,The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.,For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrest Demographic Datasets - Related Tables.,Why this Dataset is Organized this Way?,The related tables such as persons, charges, and locations follow a normalized data model. This structure is often preferred by data professionals for more advanced analysis, filtering, or joining with external datasets.,Providing this format supports a wide range of users, from casual data explorers to experienced analysts.,Understanding the Arrests Data (as related tables),The related tables represent different parts of the arrest data. Each one focuses on a different type of information, like the officers, individuals arrested, charges, and arrest details.,All of these tables connect back to the arrests table, which acts as the central record for each event. This structure is called a normalized model and is often used to manage data in a more efficient way. Visit the User Guide: Understanding the Arrest Demographic Datasets - Related Tables for more details outlining the relationships between the related tables. Data Dictionary Additional Information,Contact Email: PD_DataRequest@tempe.gov Contact Phone: N/A,Link: N/A,Data Source: Versaterm RMS,Data Source Type: SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,

,Related Tables / Normalized Version,This dataset provides demographic information related to arrests made by the Tempe Police Department. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.,The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.,For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrest Demographic Datasets - Related Tables.,Why this Dataset is Organized this Way?,The related tables such as persons, charges, and locations follow a normalized data model. This structure is often preferred by data professionals for more advanced analysis, filtering, or joining with external datasets.,Providing this format supports a wide range of users, from casual data explorers to experienced analysts.,Understanding the Arrests Data (as related tables),The related tables represent different parts of the arrest data. Each one focuses on a different type of information, like the officers, individuals arrested, charges, and arrest details.,All of these tables connect back to the arrests table, which acts as the central record for each event. This structure is called a normalized model and is often used to manage data in a more efficient way. Visit the User Guide: Understanding the Arrest Demographic Datasets - Related Tables for more details outlining the relationships between the related tables. Data Dictionary Additional Information,Contact Email: PD_DataRequest@tempe.gov Contact Phone: N/A,Link: N/A,Data Source: Versaterm RMS,Data Source Type: SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,

,Main Table / Denormalized Version,This dataset provides demographic information related to arrests made by the Tempe Police Department. Each record represents an individual charge associated with an arrest and includes details about both the person arrested (arrestee) and the arresting officer. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.,The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.,For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrests Demographic Datasets.,Why this Dataset is Organized this Way?,The main arrests open data table includes key information from each arrest event, along with associated person and charge details in one place. This format is ideal for quick viewing and simple analysis.,Providing this format supports a wide range of users, from casual data explorers to experienced analysts. Understanding the Arrests Open Data (main table / denormalized version),Each row in this dataset represents a single charge, which means a single arrest event may appear multiple times if multiple charges were filed. To determine the number of unique arrests, users should perform a distinct count of the rin field, which serves as the arrest incident identifier.,Likewise:,,This structure enables users to explore charge-level detail while maintaining the ability to summarize demographic data by arrest event, arrestee, or officer as needed. Visit the User Guide: Understanding the Arrests Demographic Datasets for more details.,Data Dictionary Additional Information,Contact Email: PD_DataRequest@tempe.gov Contact Phone: N/A,Link: N/A,Data Source: Versaterm RMS,Data Source Type: SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,

,Main Table / Denormalized Version (last 90 days only),This dataset provides demographic information related to arrests made by the Tempe Police Department. Each record represents an individual charge associated with an arrest and includes details about both the person arrested (arrestee) and the arresting officer. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.,The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.,For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrests Demographic Datasets.,Why this Dataset is Organized this Way?,The main arrests open data table includes key information from each arrest event, along with associated person and charge details in one place. This format is ideal for quick viewing and simple analysis.,Providing this format supports a wide range of users, from casual data explorers to experienced analysts. Understanding the Arrests Open Data (main table / denormalized version),Each row in this dataset represents a single charge, which means a single arrest event may appear multiple times if multiple charges were filed. To determine the number of unique arrests, users should perform a distinct count of the rin field, which serves as the arrest incident identifier.,Likewise:,,This structure enables users to explore charge-level detail while maintaining the ability to summarize demographic data by arrest event, arrestee, or officer as needed. Visit the User Guide: Understanding the Arrests Demographic Datasets for more details.,Data Dictionary,Additional Information,Contact Email: PD_DataRequest@tempe.gov,Contact Phone: N/A,Link: N/A,Data Source: Versaterm RMS,Data Source Type: SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,

,The General Offense Crime Report Dataset includes criminal and city code violation offenses which document the scope and nature of each offense or information gathering activity. It is used to computate the Uniform Crime Report Index as reported to the Federal Bureau of Investigation and for local crime reporting purposes.,Contact E-mail,Link: N/A,Data Source: Versaterm Informix RMS \,Data Source Type: Informix and/or SQL Server,Preparation Method: Preparation Method: Automated View pulled from SQL Server and published as hosted resource onto ArcGIS Online,Publish Frequency: Weekly,Publish Method: Automatic,Data Dictionary,

,The Calls for Service dataset includes police service requests for which patrol officers, traffic officers, bike officers and, on occasion, detectives will be dispatched to public safety response. It also includes self-initiated calls for service where an officer witnesses a violation or suspicious activity for which they would respond. This item represents a consolidated item of all records.,Why the Datasets are Organized into Separate Layers,In January of 2022, the Tempe Police Department completed a major transition in how crimes data is reported, moving from the FBI Uniform Crime Report program to the enhanced National-Incident Based Reporting System, or NIBRS. NIBRS is now the required reporting method for the FBI. The Uniform Crime Report (UCR) Program's traditional Summary Reporting System (SRS) was limited in comparison to NIBRS, which offers more detailed data collection that provides a deeper understanding of crime and its circumstances.,NIBRS captures a wider range of details on crime incidents and can reflect separate offenses occurring during the same event, including information on victims, known offenders, relationships between victims and offenders, arrestees, and property involved in the crimes. With greater specificity in reporting offenses, NIBRS provides for more accurate and detailed crime-related information, and helps give context to specific crime issues while affording greater analytic capability of crime. Below is the link to Tempe-specific NIBRS reports. Use the drop-down filters to select Tempe PD, the year, and the type of report.,,Because of these differences, trends and numbers between the two systems should not be directly compared. That’s why we treat 2022 and later (NIBRS) separately from 2021 and earlier (UCR).,To make the older data easier to browse, we grouped the data from 2021 and earlier into year ranges instead of showing it all at once. This helps with performance and loading speed due to the large count of records.,Additional Information,Contact Email: PD_DataRequest@tempe.gov,Contact Phone: N/A,Link: N/A,Data Source: Versaterm Informix RMS,Data Source Type: Informix and/or SQL Server,Preparation Method: Automated process,Publish Frequency: Daily,Publish Method: Automatic,Data Dictionary,