Hamburg, CT Theft Rates and Theft Maps

Crime Grade's theft map shows the safest places in Hamburg in green. The most dangerous areas in Hamburg are in red, with moderately safe areas in yellow. Crime rates on the map are weighted by the type and severity of the crime.

Is Hamburg, CT Safe from Theft?

The A+ grade means the rate of theft is much lower than the average US city. Hamburg is in the 95th percentile for safety, meaning 5% of cities are safer and 95% of cities are more dangerous. This analysis applies to Hamburg's proper boundaries only. See the table on nearby places below for nearby cities.

The rate of theft in Hamburg is 2.827 per 1,000 residents during a standard year. People who live in Hamburg generally consider the northwest part of the city to be the safest.

Your chance of being a victim of theft in Hamburg may be as high as 1 in 230 in the south neighborhoods, or as low as 1 in 642 in the northwest part of the city.

By a simple count ignoring population, more theft occurs in the south parts of Hamburg, CT: about 0 per year. The southwest part of Hamburg has fewer cases of theft with only 0 in a typical year.

How Hamburg's Theft Rate Compares

The chart below compares the theft rate in Hamburg to the Connecticut state average and the national average. All rates are the number of crimes per 1,000 residents in a standard year.

Considering only the theft rate, Hamburg is safer than the Connecticut state average and safer than the national average.

See how CrimeGrade calculates these grades and rates on the CrimeGrade methodology page.

The Cost of Theft in Hamburg, CT

Theft is projected to cost the residents of Hamburg about $3,982 in 2025, or roughly $15 per resident. This is part of Hamburg's overall Cost of Crime™. See the full cost-of-crime breakdown for Hamburg, including every crime type and how Hamburg compares to other cities.

Interpreting the Theft Map

Remember that theft rates are measured per resident. Places with heavy daytime traffic, like shopping districts, airports, and parks, can look more dangerous than they are for the people who live there. See a full guide to reading Hamburg's crime maps on the Hamburg overall crime page.

To better understand and navigate these intricate crime maps, a high-speed internet connection can be crucial. Fast and seamless online connectivity ensures that map details load efficiently, providing users with clearer, uninterrupted insights. If you're considering enhancing your online experience, check out high speed internet in Hamburg, CT at ISP Reports.

Individual Hamburg Crime Maps & Stats

Theft Maps and Rates for Nearby Cities

Compared to surrounding cities, the rate of theft in Hamburg is lower. The table below shows Crime Grades for cities close to Hamburg.

Nearby City	Overall Crime Grade	Violent Crime Grade	Property Crime Grade	Theft Crime Grade
Essex Village, CT	A+	A-	A+	A+
North Lyme, CT	A+	A+	A+	A+
Essex, CT	B	A+	B+	B
Hadlyme, CT	A	A-	A	A
Centerbrook, CT	A-	A+	B+	B+
Old Lyme, CT	A-	A+	B	B
Laysville, CT	A-	A+	B	B
Deep River, CT	B	A+	B-	B-
Ivoryton, CT	A	A+	A-	B+
Chester, CT	A-	A+	B+	B+

Theft in City with Similar Populations

Hamburg is lower versus other cities of the same size for theft. The table below compares theft in cities with comparable overall population.

Similar City	Overall Crime Grade	Violent Crime Grade	Property Crime Grade	Theft Crime Grade
Alderpoint, CA	F	F	F	F
Zimco, AL	D-	D-	D-	D-
Zeba, MI	C	C+	C+	C-
Youngs Creek, IN	C+	B	B	C-
Yorktown, NJ	A+	A+	A+	A-
Yolano, CA	C+	C-	C-	C-
Wagoner, MO	B-	B+	B+	B+
Wadesboro, LA	B+	A	A	B+
Bernard, ME	B	A+	A+	C-
Berlin, ND	C	C	C	A-

Safety and school performance are separate topics, but both shape moving decisions. Using SchoolGrade data, schools in Hamburg, CT average SchoolGrade of A, with 63% actual proficiency versus 58% projected; overall, schools greatly exceed expectations. See Hamburg schools on SchoolGrade

About the Data

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All maps and statistics above are projections, not certainties, and provided without guarantee free of charge. Verify all info before making any decisions based on the data.