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Property Crime Trends in Gantt, Alabama: A Small Community's Unique Case Study
CATEGORY
Crime
DATA
Property Crime
Percent Owner Occupied
Median Income
Population
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Crime
Property Crime
Percent Owner Occupied
Median Income
Population
Property Crime Analysis for Gantt, Alabama: 2010 Snapshot Gantt, Alabama, with a population of 2,148 in 2010, reported a total of 2 property crimes that year. These incidents were exclusively categorized as larceny-theft, with no reported cases of burglary, motor vehicle theft, or arson. This data provides a limited snapshot of the property crime situation in Gantt for a single year.
The property crime rate for Gantt in 2010 can be calculated as approximately 0.93 larceny-thefts per 1,000 residents. This figure is derived from the 2 reported larceny-theft incidents and the town's population of 2,148. However, it is important to note that this single data point does not allow for the identification of trends or patterns in property crime for the town.
Comprehensive analysis of property crime trends typically requires data spanning multiple years, ideally 5 to 10 years or more. Such data would include breakdowns by type of property crime for each year, allowing for the examination of changes over time and the calculation of more reliable crime rates. Additionally, state-level data would be necessary for meaningful comparisons between Gantt and broader regional trends.
The limited nature of the available data for Gantt precludes a more in-depth analysis of property crime trends. Without information from multiple years, it is not possible to determine whether the 2010 figures represent a typical year for the town or an anomaly. Furthermore, the lack of data on other types of property crimes, such as burglary and motor vehicle theft, limits our understanding of the overall property crime landscape in Gantt.
To conduct a more comprehensive analysis of property crime in Gantt, additional data would be required. This would include crime statistics for multiple years, breakdowns by various types of property crimes, and demographic information for the corresponding time periods. Such data would enable the identification of trends, the calculation of more reliable crime rates, and the exploration of potential correlations between demographic factors and crime rates.
In conclusion, while the 2010 data provides a glimpse into the property crime situation in Gantt, Alabama, it is insufficient for drawing broader conclusions or making predictions about crime trends in the area. A more extensive dataset would be necessary to provide a thorough and meaningful analysis of property crime patterns in Gantt over time.
