The rate of incidents of identity theft in Canada decreased by 4.2 incidents (-24.01 percent) in 2023 in comparison to the previous year. Nevertheless, the last two years recorded a significant higher rate of incidents than the preceding years.

Obtained this dataset from https://catalog.data.gov/dataset/crime-data-from-2020-to-present

This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database.

The property crime rate indicator includes both the total number of property crime incidents per year in Champaign County, and the number of property crime incidents per 100,000 people per year in Champaign County. “Property crimes” are those counted in the following categories in the Illinois State Police’s annual Crime in Illinois report: Burglary, Theft (Larceny), Motor Vehicle Theft, and Arson. Like violent crime, property crime is also a major indicator of community safety.

The property crime data spans the same time period as the violent crime data: 1996 to 2021. The total number of offenses and rate per 100,000 population are both substantially lower as of 2021 than at the beginning of the study period in 1996. 2021 actually saw the lowest number of offenses and the lowest rate per 100,000 population in the study period. There are significantly more property crime offenses in Champaign County than violent crime incidents.

This data is sourced from the Illinois State Police’s annually released Crime in Illinois: Annual Uniform Crime Report, available on the Uniform Crime Report Index Offense Explorer.

Sources: Illinois State Police. (2021). Crime in Illinois: Annual Uniform Crime Report 2021. Illinois State Police. (2020). Crime in Illinois: Annual Uniform Crime Report 2020. Illinois State Police. (2019). Crime in Illinois: Annual Uniform Crime Report 2019. Illinois State Police. (2018). Crime in Illinois: Annual Uniform Crime Report 2018. Illinois State Police. (2017). Crime in Illinois: Annual Uniform Crime Report 2017. Illinois State Police. (2018). Crime in Illinois: Annual Uniform Crime Report 2018. Illinois State Police. (2017). Crime in Illinois: Annual Uniform Crime Report 2017. Illinois State Police. (2016). Crime in Illinois: Annual Uniform Crime Report 2016. Illinois State Police. (2015). Crime in Illinois: Annual Uniform Crime Report 2015. Illinois State Police. (2014). Crime in Illinois: Annual Uniform Crime Report 2014.; Illinois State Police. (2012). Crime in Illinois: Annual Uniform Crime Report 2012.; Illinois State Police. (2011). Crime in Illinois: Annual Uniform Crime Report 2010-2011.; Illinois State Police. (2009). Crime in Illinois: Annual Uniform Crime Report 2009.; Illinois State Police. (2007). Crime in Illinois: Annual Uniform Crime Report 2007.; Illinois State Police. (2005). Crime in Illinois: Annual Uniform Crime Report 2005.; Illinois State Police. (2003). Crime in Illinois: Annual Uniform Crime Report 2003.; Illinois State Police. (2001). Crime in Illinois: Annual Uniform Crime Report 2001.; Illinois State Police. (1999). Crime in Illinois: Annual Uniform Crime Report 1999.; Illinois State Police. (1997). Crime in Illinois: Annual Uniform Crime Report 1997.

The average for 2016 based on 74 countries was 783 thefts per 100,000 people. The highest value was in Denmark: 3949 thefts per 100,000 people and the lowest value was in Senegal: 1 thefts per 100,000 people. The indicator is available from 2003 to 2016. Below is a chart for all countries where data are available.

Identity Resolution Market Outlook

The global identity resolution market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach a valuation of around USD 5.8 billion by 2032, growing at a CAGR of 16.2% during the forecast period from 2024 to 2032. This remarkable growth is primarily driven by the increasing need for organizations to accurately identify and understand their customers, thereby enhancing marketing efficiency and reducing fraud.

One of the significant growth factors for the identity resolution market is the exponential increase in digital interactions. With the proliferation of digital channels such as social media, e-commerce platforms, and mobile applications, organizations face the challenge of integrating diverse data points to create a unified customer profile. Identity resolution technology enables businesses to overcome this challenge by linking disparate data sources, thereby providing a holistic view of the customer. This capability is particularly crucial in enhancing targeted marketing campaigns, improving customer engagement, and boosting overall business performance.

Another critical driver is the rising incidences of fraud and cyber threats. As digital transactions surge, the risk of identity theft and fraud also escalates. Businesses are increasingly adopting identity resolution solutions to detect and prevent fraudulent activities in real-time. These solutions employ advanced algorithms and machine learning techniques to analyze data patterns and identify anomalies. By doing so, businesses can protect themselves and their customers from potential fraud, thereby safeguarding their reputation and financial stability.

The push for regulatory compliance also fuels the demand for identity resolution solutions. Various regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), mandate organizations to manage and protect personal data effectively. Identity resolution tools help organizations comply with these regulations by ensuring data accuracy and consistency across different systems and applications. This not only mitigates the risk of non-compliance penalties but also enhances customer trust and loyalty.

Regionally, North America is expected to hold the largest market share in the identity resolution market during the forecast period. This dominance is attributed to the early adoption of advanced technologies, a high concentration of market players, and stringent data privacy regulations. Moreover, the growing focus on customer experience management and security concerns are driving the adoption of identity resolution solutions in the region. The Asia Pacific region is also anticipated to witness significant growth, driven by the rapid digital transformation, increasing internet penetration, and rising awareness about data privacy and security.

Component Analysis

The identity resolution market is segmented by component into software and services. The software segment encompasses various tools and platforms designed to integrate and reconcile different data points to form a unified customer identity. This segment is expected to hold a significant share of the market due to the increasing reliance on advanced analytics and machine learning algorithms to process large volumes of data. These software solutions are pivotal in ensuring data accuracy and consistency, thereby enabling businesses to derive actionable insights from their data.

Within the software segment, various types of solutions are available, including customer data platforms (CDPs), data management platforms (DMPs), and identity graph technologies. CDPs and DMPs are particularly popular due to their ability to aggregate data from multiple sources, allowing for real-time customer identity resolution. Identity graph technologies, on the other hand, focus on mapping relationships between different data points, thereby enhancing the accuracy of customer profiles. The continuous innovation in these software solutions is expected to drive the growth of the software segment.

The services segment includes consulting, implementation, and support services offered by various vendors to help organizations deploy and maintain identity resolution solutions. Consulting services are vital in assessing an organization's current data landscape and identifying the best strategies for implementing identity resolution technologies. Implementation services ensure the seamless integration of these solutions into existing systems, while support services provide ongoing m

Dominican Republic: Thefts per 100,000 people: The latest value from 2016 is 8 thefts per 100,000 people, a decline from 235 thefts per 100,000 people in 2014. In comparison, the world average is 783 thefts per 100,000 people, based on data from 74 countries. Historically, the average for Dominican Republic from 2012 to 2016 is 114 thefts per 100,000 people. The minimum value, 8 thefts per 100,000 people, was reached in 2016 while the maximum of 235 thefts per 100,000 people was recorded in 2014.

AUSTIN POLICE DEPARTMENT DATA DISCLAIMER Please read and understand the following information.

This dataset contains a record of incidents that the Austin Police Department responded to and wrote a report. Please note one incident may have several offenses associated with it, but this dataset only depicts the highest level offense of that incident. Data is from 2003 to present. This dataset is updated weekly. Understanding the following conditions will allow you to get the most out of the data provided. Due to the methodological differences in data collection, different data sources may produce different results. This database is updated weekly, and a similar or same search done on different dates can produce different results. Comparisons should not be made between numbers generated with this database to any other official police reports. Data provided represents only calls for police service where a report was written. Totals in the database may vary considerably from official totals following investigation and final categorization. Therefore, the data should not be used for comparisons with Uniform Crime Report statistics. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. Pursuant to section 552.301 (c) of the Government Code, the City of Austin has designated certain addresses to receive requests for public information sent by electronic mail. For requests seeking public records held by the Austin Police Department, please submit by utilizing the following link: https://apd-austintx.govqa.us/WEBAPP/_rs/(S(0auyup1oiorznxkwim1a1vpj))/supporthome.aspx

U.K. crime rate per 100K population for 2020 was 1.00, a 12.74% decline from 2019.

<ul style='margin-top:20px;'>

<li>U.K. crime rate per 100K population for 2019 was <strong>1.15</strong>, a <strong>1.2% increase</strong> from 2018.</li>
<li>U.K. crime rate per 100K population for 2018 was <strong>1.14</strong>, a <strong>7.19% decline</strong> from 2017.</li>
<li>U.K. crime rate per 100K population for 2017 was <strong>1.22</strong>, a <strong>1.9% increase</strong> from 2016.</li>
</ul>Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.

The violent crime rate indicator includes both the total number of violent crime incidents per year in Champaign County, and the number of violent crime incidents per 100,000 people per year in Champaign County. “Violent crimes” are those counted in the following categories in the Illinois State Police’s annual Crime in Illinois report: Criminal Homicide, Criminal Sexual Assault (Rape), Robbery, Aggravated Assault, and Aggravated Battery. The incidence of violent crime is an integral part of understanding the safety of a given community.

Both the total number of offenses in Champaign County and the rate per 100,000 population were significantly lower in 2021 than at the start of the measured time period, 1996. The most recent rise in both of these figures was in 2019-2020, before falling again in 2021. The year with the lowest number of total offenses and the rate per 100,000 population in the study period was 2015; both measures are slightly higher since then.

This data is sourced from the Illinois State Police’s annually released Crime in Illinois: Annual Uniform Crime Report, available on the Uniform Crime Report Index Offense Explorer.

Sources: Illinois State Police. (2021). Crime in Illinois: Annual Uniform Crime Report 2021. Illinois State Police. (2020). Crime in Illinois: Annual Uniform Crime Report 2020. Illinois State Police. (2019). Crime in Illinois: Annual Uniform Crime Report 2019. Illinois State Police. (2018). Crime in Illinois: Annual Uniform Crime Report 2018. Illinois State Police. (2017). Crime in Illinois: Annual Uniform Crime Report 2017.Illinois State Police. (2016). Crime in Illinois: Annual Uniform Crime Report 2016. Illinois State Police. (2015). Crime in Illinois: Annual Uniform Crime Report 2015. Illinois State Police. (2014). Crime in Illinois: Annual Uniform Crime Report 2014.; Illinois State Police. (2012). Crime in Illinois: Annual Uniform Crime Report 2012.; Illinois State Police. (2011). Crime in Illinois: Annual Uniform Crime Report 2010-2011.; Illinois State Police. (2009). Crime in Illinois: Annual Uniform Crime Report 2009.; Illinois State Police. (2007). Crime in Illinois: Annual Uniform Crime Report 2007.; Illinois State Police. (2005). Crime in Illinois: Annual Uniform Crime Report 2005.; Illinois State Police. (2003). Crime in Illinois: Annual Uniform Crime Report 2003.; Illinois State Police. (2001). Crime in Illinois: Annual Uniform Crime Report 2001.; Illinois State Police. (1999). Crime in Illinois: Annual Uniform Crime Report 1999.; Illinois State Police. (1997). Crime in Illinois: Annual Uniform Crime Report 1997.

This dataset is a Neo4j graph dump, containing academic biographic publication data in the field of computing sciences. This is an integrated dataset from publicly available data from DBLP, OpenCitations and from the websites of ACM and Springer LNCS. Date Submitted: 2022-09-09

Crime incident reports as of beginning on January 1, 2021. Includes records for all crimes such as burglaries (vehicle, residential and non-residential), robberies (individual and business), auto theft, homicides and other crimes against people, property and society which occurred within the City of Baton Rouge (BRPD) and Parish of East Baton Rouge (EBRSO). Please see the disclaimer attachment in the About section of the primer page. For Crime Incidents prior to 1/1/2021 visit the Legacy Baton Rouge Crime Incident dataset at https://data.brla.gov/Public-Safety/Legacy-Baton-Rouge-Crime-Incidents/fabb-cnnu.

Privacy-preserving record linkage (PPRL) technology, crucial for linking records across datasets while maintaining privacy, is susceptible to graph-based re-identification attacks. These attacks compromise privacy and pose significant risks, such as identity theft and financial fraud. This study proposes a zero-relationship encoding scheme that minimizes the linkage between source and encoded records to enhance PPRL systems’ resistance to re-identification attacks. Our method’s efficacy was validated through simulations on the Titanic and North Carolina Voter Records (NCVR) datasets, demonstrating a substantial reduction in re-identification rates. Security analysis confirms that our zero-relationship encoding effectively preserves privacy against graph-based re-identification threats, improving PPRL technology’s security.

Russia: Thefts per 100,000 people: The latest value from 2016 is 512 thefts per 100,000 people, a decline from 710 thefts per 100,000 people in 2015. In comparison, the world average is 783 thefts per 100,000 people, based on data from 74 countries. Historically, the average for Russia from 2004 to 2016 is 823 thefts per 100,000 people. The minimum value, 512 thefts per 100,000 people, was reached in 2016 while the maximum of 1170 thefts per 100,000 people was recorded in 2006.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in King County, WA (DISCONTINUED) (FBITC053033) from 2005 to 2021 about King County, WA; crime; violent crime; property crime; Seattle; WA; and USA.

Data on Crimes in India - total crimes, crime rate, conviction rate, crimes against women and children, cyber crimes, chargesheeting rate.

India Cyber Crime: IPC Section: Number of Cases Registered data was reported at 33,798.000 Unit in 2022. This records an increase from the previous number of 25,384.000 Unit for 2021. India Cyber Crime: IPC Section: Number of Cases Registered data is updated yearly, averaging 738.000 Unit from Dec 2002 (Median) to 2022, with 21 observations. The data reached an all-time high of 33,798.000 Unit in 2022 and a record low of 176.000 Unit in 2008. India Cyber Crime: IPC Section: Number of Cases Registered data remains active status in CEIC and is reported by National Crime Records Bureau. The data is categorized under India Premium Database’s Crime – Table IN.CRA001: Crime Statistics.

The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs' departments. DCJS compiles these reports as New York's official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.

Micronesia: Thefts per 100,000 people: The latest value from is thefts per 100,000 people, unavailable from thefts per 100,000 people in . In comparison, the world average is 0 thefts per 100,000 people, based on data from countries. Historically, the average for Micronesia from to is thefts per 100,000 people. The minimum value, thefts per 100,000 people, was reached in while the maximum of thefts per 100,000 people was recorded in .

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Ontario, 1998 to 2023.