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Crime
Property Crime
Percent Owner Occupied
Median Income
Population
Murphy, located in North Carolina, presents an interesting case study in property crime trends. From 2010 to 2019, the city experienced fluctuations in total property crimes, with a notable increase from 95 incidents in 2010 to 119 in 2019, representing a 25.26% rise. During this same period, the population declined from 5,828 in 2010 to 5,009 in 2019, a decrease of 14.05%.
Burglary rates in the city showed significant variability over the years. In 2010, there were 9 burglaries, which increased to a peak of 48 in 2017 before declining to 43 in 2019. This represents a substantial 377.78% increase from 2010 to 2019. When considering population trends, the burglary rate per 1,000 people rose from 1.54 in 2010 to 8.58 in 2019, indicating a disproportionate increase compared to population changes. The city's share of state burglaries also grew significantly, from 0.02% in 2010 to 0.17% in 2019, suggesting a growing concentration of burglary incidents relative to the state average.
Larceny-theft trends showed less dramatic changes. The number of incidents decreased slightly from 83 in 2010 to 68 in 2019, a 18.07% reduction. However, when adjusted for population, the rate per 1,000 people increased marginally from 14.24 in 2010 to 13.58 in 2019. The city's contribution to state larceny-theft incidents remained relatively stable, moving from 0.06% in 2010 to 0.06% in 2019, indicating that larceny-theft trends in the city generally aligned with state-wide patterns.
Motor vehicle theft in the area showed a notable increase, from 3 incidents in 2010 to 8 in 2019, a 166.67% rise. The rate per 1,000 people increased from 0.51 in 2010 to 1.60 in 2019. The city's share of state motor vehicle thefts grew from 0.03% to 0.08% over this period, suggesting a faster increase in this type of crime compared to state averages.
Arson cases in the city were infrequent, with only sporadic incidents reported. There was 1 case in 2010 and 2011, 2 cases in 2012, and no reported cases from 2013 to 2019. This inconsistent pattern makes it difficult to draw meaningful conclusions about arson trends in the area.
Examining correlations between crime trends and socio-economic factors reveals some interesting patterns. The increase in property crimes, particularly burglaries and motor vehicle thefts, coincided with a period of declining population density, which dropped from 2,297 per square mile in 2010 to 1,974 in 2019. This suggests that reduced population density may have created more opportunities for property crimes. Additionally, the rise in median income from $30,146 in 2013 to $40,628 in 2019 did not appear to have a mitigating effect on property crime rates, indicating that other factors may have been more influential in driving crime trends.
Applying predictive models to forecast property crime trends for the next five years (up to 2029) suggests a potential continuation of the observed patterns. Burglary rates may stabilize or slightly decrease as awareness and preventive measures increase. Larceny-theft is likely to remain the most common property crime but may see a gradual decline as digital security measures improve. Motor vehicle thefts could continue to rise moderately unless targeted interventions are implemented.
In summary, Murphy has experienced a complex evolution of property crime trends from 2010 to 2019, with notable increases in burglaries and motor vehicle thefts despite a declining population. These trends, coupled with changes in population density and median income, paint a picture of a city grappling with shifting socio-economic dynamics and their impact on crime patterns. As the community looks toward the future, addressing these property crime trends will likely be a key focus for local law enforcement and policymakers.