Indonesia Crime Statistics
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The document summarizes crime statistics from Indonesia. It discusses two main data sources on crime - the national statistics agency (BPS) annual household survey and police records. The BPS survey finds that the percentage of households and persons who were crime victims was highest in 2008 at 3.19% and 1.33% respectively. However, the police data is likely an underestimate as it only includes crimes reported to police, while the BPS survey includes all crimes reported by households whether reported to police or not. The document also notes that BPS collaborates with other agencies like the police and courts to publish consolidated crime statistics for Indonesia.
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This document discusses data mining practices that can help improve crime investigation in police stations. It describes the current IT infrastructure and systems used by police departments in India, including the Common Integrated Police Application (CIPA) to store crime data, the Crime Criminal Information System (CCIS) to retrieve that data, and the Crime and Criminal Tracking Network System (CCTNS) being implemented nationwide. It also outlines other systems for organized crime intelligence, motor vehicle records, fingerprint analysis, wanted persons records, and telephone call interception that comprise the existing technological landscape for police investigation in India.
Itech 7407 report
The document analyzes crime data from Chicago between 2012-2016 using an analytics tool to create a dashboard for business intelligence teams and CEOs. It collects data on crime types, locations, dates and outcomes. Analysis finds theft and battery as the most common crimes. It also shows crime rates by month and area to identify patterns. The dashboard will visualize this analysis to help authorities address high crime areas and periods to improve public safety.
Crime and choice of residence in enugu, southeast nigeria
The International Institute for Science, Technology and Education (IISTE). Science, Technology and Medicine Journals Call for Academic Manuscripts
Presentation by Adrian Franco,
This document provides statistics from surveys conducted in Mexico in 2017 and 2016 measuring access to justice. It summarizes data on reported crimes, reasons for not reporting, public perceptions of authorities, institutional capacity, and experiences with the criminal justice process. Key findings include that 93.6% of crimes are not reported, most due to lack of trust in authorities. Satisfaction with justice authorities is low, though trust is highest in the military and lowest in police. The prison system is overcrowded at a national level of 10.2%.
Suicide Rates in Serbian Police Force
The document discusses suicide rates and occupational stress among Serbian police officers. It notes that over 140 officers have committed suicide in the past 12 years, with an average of 9.6 suicides per year among the 32,000 officers. Younger officers aged 35 and under make up most suicide victims. High stress levels stem from job responsibilities and requirements, as well as poor working conditions and low pay. Psychological support for officers is inadequate, with only one psychologist for 7,000 officers in Belgrade. The Police Union of Serbia is working to address these issues by providing free psychological services and training members, and proposing an international project to evaluate psychosocial support needs to improve officer well-being and performance.
The Family Police Project Pilot Scheme, Erzincan, Turkey
The document summarizes a study on the Family Police Pilot Scheme project introduced in Erzincan, Turkey in 2007. The project aimed to develop a partnership between police and the public to prevent crimes by having police officers responsible for specific neighborhoods and residents. It discusses how the traditional approach of focusing on crime solving is insufficient, and that modern policing should emphasize crime prevention through public trust and partnership. The Family Police project deployed networks to help address citizens' social issues and promoted police-community cooperation. Initial results suggested it improved public confidence in police.
Big data for official statistics @ Konferensi Big Data Indonesia 2016
Big data has the potential to complement official statistics in several ways:
1) Big data sources like social media can help stratify sample surveys and improve estimates.
2) Administrative records and transaction data can help fill data gaps and improve timeliness.
3) Pilot projects in Indonesia showed big data can help predict commuting patterns and nowcast food prices.
However, many challenges remain around data quality, representativeness, and establishing reliable methodologies. Further research is needed to determine how and where big data can most effectively augment official statistics.
Crime in-pakistan-research-report
The document discusses crime in Pakistan. It provides background on increasing crime rates in recent years according to official statistics. The research aims to study the causes of increased crime, summarize literature on crime in Pakistan, analyze collected data and interviews, and provide recommendations. It describes the research design which included interviews with people of different ages using a questionnaire, and limitations of being conducted by students with time and resource constraints.
The Importance of Indeterminate and Unknown Factors in Nourishing Crime: A Ca...
There is no doubt regarding the notion that crime is deteriorating the socio-economic
structure of society. Crime poses a serious threat to human values and existence. Therefore this
menace should be stopped as early as possible otherwise it would lead to unavoidable
circumstances. Whenever policies are formed there are some certain factors that are always taken
into consideration to stop the crime. These measures were effective but with the passage of time
there seems to be a constant situation and crime seems to be at its peak. This situation has forced us
to think that there may be other factors that are leading to criminal behaviour in humans. These
factors may be uncertain, unknown or indeterminate. Though previous researches in this regard
have taken into consideration all the known factors, the present work takes into account both known
and unknown factors together with the relationship among them. Taking into account all the factors
which nourish crime either directly or indirectly, here we try to model the situation mathematically
using Neutrosophic Cognitive Map since it provides us with a methodology of representing known
and unknown factors together. The work is carried out using graphical methods and concepts
together with linear algebra. The present work takes into account the crimes which are occurring in
South Africa and models this situation taking into considerations all the certain and uncertain
factors. The study reveals that relative poverty & inadequate housing, limited social and cognitive
abilities, exclusion from school, family violence, culture conflict, colonialism, unemployment,
income inequality, violent expressions of masculinity and use of violence to ‘resolve’ are directly
related to crime in the country. The other factors such as Adherence to social norms, the multi-racial
character of the society, Racial discrimination, apartheid policy, political transition, restructuring of
the criminal justice system, gathering of people, intimate partner violence & femicide and use of
‘tik’ (crystal meth/ methamphetamine) which were not supposed to have a direct influence on crime
in the country by previous researches are also having a significant effect on crime. The present work
contributes effectively in identifying the factors leading to criminal behaviour among people. This
would in turn help policymakers to take necessary steps at ground level to curb the crime in the
country. The work also shows the modelling of the situation using Fuzzy Cognitive Maps just to
represent the effectiveness of Neutrosophic Cognitive Maps over them.
Demography - Methods of collection of demographic data
Demography is the statistical study of human populations and their changes over time due to births, deaths, migration and aging. There are two main methods for collecting demographic data - direct collection from official records like censuses, and indirect collection through surveys. India collects demographic data through various methods like the census every 10 years, civil registration of births and deaths, sample registration system, national family health surveys, and disease notification records. This data helps understand population size, growth and characteristics.
Case Study- Data-Driven Transformation of Springfield's Police Force S.docx
Case Study : Data-Driven Transformation of Springfield's Police Force Springfield, Virginia in the United States of America has been collecting data on the crimes that have been occurring in the city boundaries between 1998 and 2019. The data includes details on the offender, the nature of the crime, the location of the crime, and further details. The dataset contains over 23,000 instances of crimes which have occurred. Due to increasing negative media attention, there is a growing perception by the citizens of Springfield that they are no longer safe. They are starting to complain and resent the elected officials. Because next year is an election year, the Mayor, Mayor Jones, is growing increasingly concerned about the social welfare of the citizens she is responsible for. Mayor Jones has previously delegated the responsibility of the crime portfolio to her police chief, Chief Odinson. It is Chief Odinson's responsibility to run the entire police force across the areas within Springfield: Central Springfield (postal code: 22150), North Springfield (postal code: 22151), and West Springfield (postal code: 22152). Mayor Jones organised to meet with Chief Odinson to gather the information she needed to transform the city. When she met with Chief Odinson, the Chief was perplexed, he was unsure on how to gather the information the Mayor required. The Chief did know that the police officers in each precinct within each area completed reports about every case (some initiated by the victim, others by witnesses). He also knew that the data on the reports was inputted into an Excel file. Yet, he was not sure on how to extract what he needed from the data file. Recognising his uncertainty and wanting to provide the necessary information to the Mayor, Chief Odinson decided to hire your team of consultants to see how they can best leverage the data that the Chief had access to. Yet, rather than just finding the information to assist Mayor Jones, the Chief decided to take this opportunity to improve how he manages the police. He also met with Police Officer, Sergeant Steve Rogers to see if there is anything data-related that could help the Sergeant perform his duties. Sergeant Rogers informed the Chief that many of his fellow police officers of the Springfield Police Department required more information to understand the nature of the crimes in the area, so that they can be better equipped to respond. You are required to identify a data-driven approach to provide insights in the form of a digital dashboard to assist the following stakeholders: Mayor Jones - to improve societal issues surrounding crimes (focus on all suburbs overall). Chief Odinson - to manage the Springfield Police Department in Central Springfield, North Springfield, and West Springfield (compare the three suburbs). Sergeant Rogers - to be more informed of the crimes in the local areas (focus on one suburb only).
1: Identify one problem area in the data and describe how the digital dashbo.
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The Family Police Project Pilot Scheme, Erzincan, Turkey
The Family Police Project Pilot Scheme, Erzincan, Turkey
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Big data for official statistics @ Konferensi Big Data Indonesia 2016
The Importance of Indeterminate and Unknown Factors in Nourishing Crime: A Ca...
The Importance of Indeterminate and Unknown Factors in Nourishing Crime: A Ca...
Demography - Methods of collection of demographic data
Demography - Methods of collection of demographic data
Case Study- Data-Driven Transformation of Springfield's Police Force S.docx
Case Study- Data-Driven Transformation of Springfield's Police Force S.docx
Indonesia Crime Statistics
- 1. Bangkok Crime Statistics Hendry Syaputra BPS – Statistics Indonesia Strengthening statistical capacity for crime prevention in Asia: A Crime Victimization Survey workshop 11 – 13 June 2012 1
- 2. Crime Statistics (Data Source : BPS-Statistic Indonesia) 2 BPS-Statistics Indonesia conducts Susenas annually using 2 questionnaires, i.e., core queationaire collected annually and three module questionnaires that each of them is collected 3- yearly along along with the core. The sample size was about 70,000 households for the Susenas conducted in March and about 290,000 households conducted in July. Beginning 2011, the core questionnaire and module questionnaire on income and expenditure are collected quarterly with sample size 75,000 households selected from 7,500 census blocks. In 2012, module questionnaire on education cost, progress on welfare perception, socio cultural activity will be conducted in September 2012.
- 3. Cont.. 3 Three module questionnaires collect information on: (1) health, housing, home environment; (2) Education cost, progress on welfare perception, socio cultural activity, criminality; and (3) Income and expenditure Core questionnaire collects basic information on demography, criminality, education, health, employment, housing, fertility and family planning practices. The survey uses the definition of criminal victim is one whose life, body, honor, or property is damaged or lost due to a criminal act. There are 2 questions on crime acts collected: (i) Victimized by any crime last year? (ii) Has the crime been reported to police? The victims of crime act, will be asked to describe the kind of crime acts: theft, robbery, homicide, fraud, rape, and others.
- 4. 4 3.19 1.33 3.08 1.17 2.97 1.29 Households Persons 2008 2009 2010 Percentage of Households and Persons who had been victims of Crime, 2008 – 2010 Source: BPS, Susenas 2008-2010
- 5. Compotition of Households ever been victim of crime by participation of the household to report the case to the police, 2009 – 2010 5 Sumber: BPS, Susenas 2009 – 2010 Reported 307.000 Unreported 1.547.122 2009 Reported 334.671 Unreported 1.497.573 2010 (16,56%) (18,27%)
- 6. Crime Statistics (Data Source : Police Record) 6 The police headquarter produces information on crime acts and crime victims regularly. The statistics on crime produced is based on compilation on crime acts reported by victims to police department through out the country. The data is hierarchically reported by police offices in subdistrict to districts police offices. District police offices then investigates those crime acts to determine which crime acts is considered as crime by criminal law. District police then reported only those crime acts to provincial police offices and the police officers from provincial office examine the report from district before sending to police head quarter.
- 7. Cont.. 7 This administrative statistics produced by police head quarter is most likely underestimate compare to statistics produced by Susenas. For 2010 statistics on crime for example, there were 332,490 crime acts according to police report while 3,062,989 crime acts reported by Susenas, however, only 593,373 crime acts reported to police by victims according to Susenas. Because police only follow up the crime acts reported by the victims then we can compare the statistics reported by police and Susenas based on the same basis. The difference between number of crime acts reported by police and the number reported by victims to police is 260.883 crime acts.
- 8. 196,931 220,886 256,543 299,163 330,384 326,752 344,942 332,490 - 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 2003 2004 2005 2006 2007 2008 2009 2010 Tahun Source: The Indonesian National Police Headquarter Crime Total in Indonesia, 2003-2010
- 9. 93 104 121 131 145 141 141 142 - 20 40 60 80 100 120 140 160 2003 2004 2005 2006 2007 2008 2009 2010 Tahun Source: The Indonesian National Police Headquarter Crime Rate per 100.000 population in Indonesia, 2003-2010
- 10. BPS Experience on Collaboration with other Data Producers BPS, the Supreme Court, the Department of Justice (now the Ministry of Law and Human Rights) and the Indonesian National Police cooperated routinely to release a book entitled: “Criminal Statistics” containing a collection of criminal statistical data pertaining to the police, courts and prisons all over Indonesia. This series started in the 1970s. In 1980, the concept of the Criminal Statistics book changed in that the data were no longer presented in a single book but in separate series. This series contained the following titles: Criminal Statistics from Police Data Sources, Criminal Statistics from Court Data Sources, and Criminal Statistics from Prison Data Sources. Such statistical books continued to be published by public institutions until the beginning of 1990. 10
- 11. Thank You 11