This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that have occurred in the City of Chicago over the past year, minus the most recent seven days of data. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited.

The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://bit.ly/rk5Tpc.

The average for 2017 based on 65 countries was 1.8 kidnappings per 100,000 people. The highest value was in Belgium: 10.3 kidnappings per 100,000 people and the lowest value was in Bermuda: 0 kidnappings per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

In 2024, the police in Japan recognized *** cases of kidnapping or human trafficking, representing five consecutive years of increase. That year, The number of clearances for kidnapping and human trafficking was ***.

The average for 2017 based on 30 countries was 1.6 kidnappings per 100,000 people. The highest value was in Belgium: 10.3 kidnappings per 100,000 people and the lowest value was in Bosnia and Herzegovina: 0 kidnappings per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

The National Incidence Studies of Missing, Abducted, Runaway, and Thrownaway Children (NISMART) were undertaken in response to the mandate of the 1984 Missing Children's Assistance Act (Pub.L. 98-473) that requires the Office of Juvenile Justice and Delinquency Prevention (OJJDP) to conduct periodic national incidence studies to determine the actual number of children reported missing and the number of missing children who are recovered for a given year. The first such study, NISMART-1 (NATIONAL INCIDENCE STUDIES OF MISSING, ABDUCTED, RUNAWAY, AND THROWNAWAY CHILDREN (NISMART), 1988 [ICPSR 9682]), was conducted from 1988 to 1989 and addressed this mandate by defining major types of missing child episodes and estimating the number of children who experienced missing child episodes of each type in 1988. At that time, the lack of a standardized definition of a "missing child" made it impossible to provide a single estimate of missing children. As a result, one of the primary goals of NISMART-2 was to develop a standardized definition and provide unified estimates of the number of missing children in the United States. Both NISMART-1 and NISMART-2 comprise several component datasets designed to provide a comprehensive picture of the population of children who experienced qualifying episodes, with each component focusing on a different aspect of the missing child population. The Household Survey -- Youth Data and the Household Survey -- Adult Data (Parts 1-2) are similar but separate surveys, one administered to the adult primary caretaker of the children in the sampled household and the other to a randomly selected household youth aged 10 through 18 at the time of interview. The Juvenile Facilities Data on Runaways (Part 3) sought to estimate the number of runaways from juvenile residential facilities in order to supplement the household survey estimate of the number of runaways from households. And the Law Enforcement Study Data, by case perpetrator, and victim, (Parts 4-6) intended to estimate the number of children who were victims of stereotypical kidnappings and to obtain a sample of these cases for in-depth study.

While the fear of being kidnapped may persist for one’s entire life, the number of missing persons under the age of 21 was much higher than those 21 and over in the United States in 2024. In that year, there were 198,686 females under the age of 21 who were reported missing in the U.S., compared to only 63,584 females over the age of 21. Why people go missing There are many reasons why people go missing; some are kidnapped, some purposefully go missing - in order to escape abuse, for example - and some, usually children, are runaways. What persists in the imagination when thinking of missing persons, however, are kidnapping victims, usually due to extensive media coverage of child kidnappings by the media. Demographics of missing persons While the number of missing persons in the United States fluctuates, in 2021, this number was at its lowest since 1990. Additionally, while it has been observed that there is more media coverage in the United States of white missing persons, almost half of the missing persons cases in 2022 were of minorities.

Puerto Rico: Kidnappings per 100,000 people: The latest value from 2017 is 0.9 kidnappings per 100,000 people, a decline from 1.4 kidnappings per 100,000 people in 2016. In comparison, the world average is 1.8 kidnappings per 100,000 people, based on data from 65 countries. Historically, the average for Puerto Rico from 2016 to 2017 is 1.2 kidnappings per 100,000 people. The minimum value, 0.9 kidnappings per 100,000 people, was reached in 2017 while the maximum of 1.4 kidnappings per 100,000 people was recorded in 2016.

Ministry of Home Affairs, Government of India has defined missing child as 'a person below eighteen years of age, whose whereabouts are not known to the parents, legal guardians and any other persons who may be legally entrusted with the custody of the child, whatever may be the circumstances/causes of disappearance”. The dataset contains the state wise and gender-wise number of children reported missing in a particular year, total number of persons missing including those from previous years, number of persons recovered/traced and those unrecovered/untraced. The dataset also contains the percentage recovery of missing persons which is calculated as the percentage share of total number of persons traced over the total number of persons missing. NCRB started providing detailed data on missing & traced persons including children from 2016 onwards following the Supreme Court’s direction in a Writ Petition. It should also be noted that the data published by NCRB is restricted to those cases where FIRs have been registered by the police in respective States/UTs.

Turkey: Kidnappings per 100,000 people: The latest value from 2016 is 33.5 kidnappings per 100,000 people, a decline from 40.6 kidnappings per 100,000 people in 2015. In comparison, the world average is 2.3 kidnappings per 100,000 people, based on data from 77 countries. Historically, the average for Turkey from 2003 to 2016 is 18.9 kidnappings per 100,000 people. The minimum value, 11.4 kidnappings per 100,000 people, was reached in 2004 while the maximum of 40.6 kidnappings per 100,000 people was recorded in 2015.

In 2024/25 there were ***** kidnapping offences recorded by the police in England and Wales, a slight decrease when compared with the previous year when there were ***** offences. Kidnapping offences reached a low of ***** offences in the 2012/13 reporting year but have been increasing in almost every reporting year since then. Rising crime overall Kidnapping offences have increased at a time of rising overall crime. After declining for several years between 2003/04 and 2010/11, overall crime offences suddenly started to increase, and reached a recent peak of **** million offences in 2022/23. While the overall number of crimes has grown, UK crime rates are actually slightly lower than in the early 2000s, due to population growth. As of the most recent reporting years, the number of crimes per 1,000 people was **** in England and Wales, **** in Scotland, and **** in Northern Ireland. Money and manpower to blame? The current crime trends that are prevailing in the UK have led to questions about the ability of the police to counter it, and if they have the manpower and resources to do so. For much of the 2010s the police had cuts to their funding leading to a decline in officer numbers, although both trends have recently been reversed, with funding increasing from the late 2010s onwards. Other parts of the justice system, such as legal aid funding have not seen a reversal of this trend, with spending in 2023/24 still below that of 2010/11 in nominal terms.

This collection was undertaken in response to the mandate of the 1984 Missing Children Act. The objective of the act was to estimate the incidence of five categories of children: children abducted by family members, children abducted by nonfamily members, runaways, thrownaways (those not wanted by their families or taken from families because of abuse or neglect), and children considered missing. Data were collected by several different methods. The centerpiece of this collection is a household survey (Parts 19, 20, and 35) that interviewed families to determine whether any children fit the categories under study. Basic demographic information on age, race, and sex was collected, and questions on the family situation were asked of identified children and their parents and siblings. A survey of juvenile facilities (Parts 28 and 29) was also conducted to determine how many children had run away from these facilities. Facility administrators were prompted for demographic information on the runaways as well as for information on the structure of the runaways' families. In addition, a survey of returned runaways (children who had run away and returned home) (Part 30) was completed to find out whether children's accounts of runaway episodes matched the accounts given by their parents. Children were queried about their relationships with their parents and their views of their contributions to the family. They were also asked about each specific runaway episode: whether they actually ran away or were asked to leave, how long the episode lasted, whether friends knew about it, whether friends accompanied them, whether they used drugs before, during, or after the episode, how they were found, where they were found, and whether disciplinary action was taken. The police records component (Parts 31-33) contains information on homicides, abductions, and sexual assaults.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

Child Abduction Response Technology Market Outlook

According to our latest research, the global child abduction response technology market size in 2024 stands at USD 1.62 billion, with a projected CAGR of 13.7% from 2025 to 2033. By the end of 2033, the market is forecasted to reach USD 5.01 billion. The primary growth factor fueling this expansion is the increasing demand for advanced technological solutions to support rapid and effective child recovery operations worldwide, as per our comprehensive industry analysis.

The growth of the child abduction response technology market is being driven by the alarming rise in child abduction cases globally, which has heightened the need for proactive and real-time response mechanisms. Governments and law enforcement agencies are increasingly investing in modern technologies such as GPS tracking, facial recognition, and advanced communication systems to enhance their capabilities in locating and recovering missing children. The integration of these technologies into existing emergency response frameworks has significantly improved the speed and accuracy of abduction investigations, thereby increasing the adoption rate of child abduction response technology across various sectors. Furthermore, growing public awareness and advocacy for child safety have led to increased funding and policy support for the deployment of such technologies, further propelling market growth.

Another key growth driver is the rapid advancement in data analytics and artificial intelligence, which has revolutionized the way child abduction cases are handled. Sophisticated data analytics platforms can now aggregate and analyze data from multiple sources, including social media, surveillance cameras, and mobile devices, to provide actionable intelligence to law enforcement agencies in real-time. This capability enables authorities to identify patterns, predict potential threats, and deploy resources more efficiently. Additionally, the integration of AI and machine learning algorithms with facial recognition and GPS tracking systems has greatly enhanced the accuracy and effectiveness of child recovery operations. The continuous improvement of these technologies, coupled with increasing interoperability among different response systems, is expected to sustain robust growth in the child abduction response technology market over the forecast period.

The market is also benefitting from the strong collaboration between public and private sectors, as well as the involvement of non-governmental organizations (NGOs) in child safety initiatives. NGOs and private security firms are playing a pivotal role in developing and implementing innovative solutions for child abduction response, often working in partnership with government agencies. These collaborations have led to the creation of integrated platforms that combine hardware, software, and services to deliver comprehensive response capabilities. The emergence of cloud-based deployment models has further facilitated the widespread adoption of these technologies by reducing infrastructure costs and enabling remote access to critical data and applications. As a result, the child abduction response technology market is experiencing significant expansion across both developed and developing regions.

From a regional perspective, North America currently dominates the child abduction response technology market, accounting for the largest share in 2024. The region's leadership can be attributed to its advanced law enforcement infrastructure, high adoption of cutting-edge technologies, and strong government support for child protection initiatives. Europe follows closely, driven by stringent regulations and cross-border cooperation among member states. The Asia Pacific region is poised for the fastest growth over the forecast period, fueled by rising awareness, increasing investments in public safety, and the rapid digitalization of law enforcement agencies. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as governments in these regions ramp up efforts to address child abduction challenges through technology-driven solutions.

Component Analysis

The component segment of the child abduction response technology market is broadly categorized into software, hardware, and services. Among these, the software segment holds a significant share, owing to the increasing reliance on

This study was conducted to examine the psychological reactions experienced by families of missing children and to evaluate families' utilization of and satisfaction with intervention services. To address issues of psychological consequences, the events occurring prior to child loss, during the experience of child loss, and after child recovery (if applicable) were studied from multiple perspectives within the family by interviewing parents, spouses, siblings, and, when possible, the missing child. A sample of 249 families with one or more missing children were followed with in-home interviews, in a time series measurement design. Three time periods were used: Time Series 1, within 45 days of disappearance, Time Series 2, at 4 months post-disappearance, and Time Series 3, at 8 months post-disappearance. Three groups of missing children and their families were studied: loss from alleged nonfamily abduction (stranger), loss by alleged family or parental abduction, and loss by alleged runaway. Cases were selected from four confidential sites in the United States. The files in this collection consist of data from detailed structured interviews (Parts 1-22) and selected quantitative nationally-normed measurement instruments (Parts 23-33). Structured interview items covered: (1) family of origin for parents of the missing child or children, (2) demographics of the current family with the missing child or children, (3) conditions in the family before the child's disappearance, (4) circumstances of the child's disappearance, (5) perception of the child's disappearance, (6) missing child search, (7) nonmissing child, concurrent family stress, (8) coping with the child's disappearance, (9) coping with a nonmissing child, concurrent family stress, (10) missing child recovery, if applicable, (11) recovered child reunification with family, if applicable, and (12) resource and assistance evaluation. With respect to intervention services, utilization of and satisfaction with these services were assessed in each of the following categories: law enforcement services, mental health services, missing child center services, within-family social support, and community social support. The quantitative instruments collected data on family members' stress levels and reactions to stress, using the Symptom Check List-90, Achenbach Child Behavior Check List, Family Inventory of Life Events, F-COPES, Frederick Trauma Reaction Index-Adult, and Frederick Trauma Reaction Index-Child.

The dataset contains year-, type-of-crime- and gender-wise compiled data on the number of different types of crimes which were committed against children and the number of victims who were affected by the same crimes. The different types of crimes covered in the dataset include kidnapping and abduction crimes such as kidanapping and abduction for the purpose of murder, begging, ransom, compelling for marriage, procuration of minor girls, importation of girls from foreign countries, missing deemed as kidnapped, etc., fatal crimes such as murder, attempt to commit murder, muder with rape, abetment of suicide of child, infanticide, foeticide, trafficking and sexual crimes such buying and selling of minors for prostitution, use of children for pornography, transmiting sexual content and material involving children in sexually explicit acts, sexual assualt, penetrative sexual assault, rape, and other crimes such as child labour, child marriage, exposure, abandaonment, simple hurt, grievous hurt, insult and assualt of damage modesty, crimes under juvenile justice act and transplantation of organs act, etc.

What is an AMBER alert?

The AMBER Plan is a voluntary, cooperative program between law-enforcement agencies and local broadcasters to send an emergency alert to the public when a child has been abducted and it is believed that the child is in danger of serious bodily harm or death. Under the AMBER Plan, area radio and television stations interrupt programming to broadcast information about the missing child using the Emergency Alert System, formerly known as the Emergency Broadcast System. While EAS is typically used for alerting the public to severe weather emergencies, it is also the warning system for civil and national emergencies. The federal government requires all radio and television stations and most cable systems to install and maintain devices that can monitor EAS warnings and tests and relay them rapidly and reliably to their audiences. The idea behind the AMBER Plan is a simple one: if stations can broadcast weather warnings through EAS, why not child abductions? The AMBER Plan provides law-enforcement agencies with another tool to help recover abducted children and quickly apprehend the suspect.

PURPOSE

The purpose of the AMBER Plan is to provide a rapid response to the most serious child-abduction cases. When an AMBER Alert is activated, law-enforcement agencies immediately gain the assistance of thousands of broadcast and cable listeners and viewers throughout the area. The plan relies on the community to safely recover the abducted child. It is hoped that this early warning system will not only coerce a kidnapper into releasing the child for fear of being arrested but also deter the person from committing the crime in the first place.

Financial overview and grant giving statistics of Children Internationally Abducted N Y C Inc.

Dominican Republic: Kidnappings per 100,000 people: The latest value from 2016 is 0.2 kidnappings per 100,000 people, unchanged from 0.2 kidnappings per 100,000 people in 2015. In comparison, the world average is 2.3 kidnappings per 100,000 people, based on data from 77 countries. Historically, the average for Dominican Republic from 2005 to 2016 is 0.2 kidnappings per 100,000 people. The minimum value, 0.1 kidnappings per 100,000 people, was reached in 2006 while the maximum of 0.2 kidnappings per 100,000 people was recorded in 2005.

The average for 2017 based on 12 countries was 1.1 kidnappings per 100,000 people. The highest value was in Pakistan: 8.8 kidnappings per 100,000 people and the lowest value was in Bhutan: 0 kidnappings per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

This act implements the Hague Convention on the Civil Aspects of International Child Abduction.