Pink, PA Burglary Rates and Burglary Maps

Crime Grade's burglary map shows the safest places in Pink in green. The most dangerous areas in Pink 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 Pink, PA Safe from Burglary?

The A grade means the rate of burglary is much lower than the average US city. Pink is in the 91st percentile for safety, meaning 9% of cities are safer and 91% of cities are more dangerous. This analysis applies to Pink's proper boundaries only. See the table on nearby places below for nearby cities.

The rate of burglary in Pink is 0.8838 per 1,000 residents during a standard year. People who live in Pink generally consider the north part of the city to be the safest.

Your chance of being a victim of burglary in Pink may be as high as 1 in 965 in the southeast neighborhoods, or as low as 1 in 1,164 in the north part of the city.

By a simple count ignoring population, more burglary occurs in the northeast parts of Pink, PA: about 0 per year. The northwest part of Pink has fewer cases of burglary with only 0 in a typical year.

How Pink's Burglary Rate Compares

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

Considering only the burglary rate, Pink is safer than the Pennsylvania state average and safer than the national average.

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

The Cost of Burglary in Pink, PA

Burglary is projected to cost the residents of Pink about $4,281 in 2025, or roughly $8 per resident. This is part of Pink's overall Cost of Crime™. See the full cost-of-crime breakdown for Pink, including every crime type and how Pink compares to other cities.

Interpreting the Burglary Map

Remember that burglary 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 Pink's crime maps on the Pink 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 Pink, PA at ISP Reports.

Individual Pink Crime Maps & Stats

Burglary Maps and Rates for Nearby Cities

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

Nearby City	Overall Crime Grade	Violent Crime Grade	Property Crime Grade	Burglary Crime Grade
Lakeville, PA	A	A-	A-	B+
South Canaan, PA	A+	A	A+	A
White Mills, PA	A-	B+	B+	B+
Honesdale, PA	B+	B-	C+	B+
Prompton, PA	A	A	A-	A
Lake Ariel, PA	A-	B	B+	B-
East Honesdale, PA	A+	A-	A	A-
Waymart, PA	B-	B	C	A-
Whites Crossing, PA	A+	A+	A	A+
Cortez, PA	B+	C+	B	B-

Burglary in City with Similar Populations

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

Similar City	Overall Crime Grade	Violent Crime Grade	Property Crime Grade	Burglary Crime Grade
Trenholm, VA	A	A+	A+	A-
Drenthe, MI	A+	A	A	A+
Dryad, WA	D+	B	B	F
Dukedom, TN	B-	C+	C+	C-
Dunn, LA	C-	D	D	D
East Blythe, CA	D-	D-	D-	F
East Dailey, WV	B+	B+	B+	B-
East Randolph, VT	A+	A	A	A+
East Sheldon, VT	B	A-	A-	B+
Tanner, KY	B+	A	A	B

Safety and school performance are separate topics, but both shape moving decisions. Using SchoolGrade data, schools in Pink, PA average SchoolGrade of A+, with 66% actual proficiency versus 57% projected; overall, schools greatly exceed expectations. See Pink 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.