The Federal Bureau of Investigation created the Uniform Crime Reporting Program (UCR) in the 1920’s to produce a dependable set of criminal data for use in law enforcement operation, administration, and management. The program is used around the country and has become of the country’s leading social indicators as to the advance or decline in crime. Much of the American community looks to the Uniform Crime Reports that are put out on a annual basis for dependable information on the level of crime in their specific physical area. The community is not the only one who checks Uniform Crime Reports on a regular basis. Sociologists, municipal planners, criminologists and the press also use these statistics for countless research purposes. Crimes that are well-defined as index crimes are separated into two categories: violent and property crimes. Offenses are divided into two major classifications: Part 1 and Part 2. Part 1 offenses include murder, non-negligent manslaughter, forcible rape, aggravated assault, larceny, robbery, burglary, arson and motor vehicle theft. All other offenses are classified as Part 2 offenses, and data such as age, race and sex of persons arrested will be collected for all crimes except traffic violations.
The data-gathering strategy and technique I used for my report are documents and records. Record or document review involves orderly data gathering from current records. Internal records available to a capacity builder might include financial documents, monthly reports, activity logs, purchase orders, etc. The benefit of using records from previous organizations is the ease of data collection. The data already exists, and no further effort needs to be made to collect it, assuming the specific data needed is actually presented and up-to-date.
If the data is available and appropriate, record review is a very cost-effective and efficient data collection method. If not, it is likely well worth the time to make improvements to data management system so you can trust on internal record review for future outcome amount of work. Just a few changes to an existing form can turn it into a useful data collection tool. A small amount of staff training can increase the validity and reliability of internally generated data.
A discussion of the crime trends comparing Happy Town, Frown Town, Smooth Town,
and Cool Town over the past five years.
Happy Town had a five percent increase in major crimes reported in 2015, due to a rise in thefts, according to recently released statistics. In crimes categorized as Part 1 offenses – such as murder, criminal sexual assault, aggravated assault and battery, burglary, theft and arson – theft and arson were the only categories that increased.
Frown Town police are reporting a 17 percent drop in the village’s annual crime rate – a change authorities attribute to criminal investigations, arrests and community participation.
Major crime in Smooth Town is at its lowest in at least five years, according to primary statistics from the Smooth Town Police Department. The drop stems from a decline in property-related crimes to 260 last year, well below the five-year average of 225, data shows.
Cool Town authorities are crediting the work of police officers and a partnership with the community for helping them reach a 2015 crime rate that is the lowest in five years. The city’s overall crime rate fell by four percent in 2015, according to police department data, which marks an 18 percent drop in the past two years. Violent crime offenses in 2015, which include crimes against people, fell by a little more than four percent, while property crime remained the same.