Philip, SD Robbery Rates and Robbery Maps

Crime Grade's robbery map shows the safest places in Philip in green. The most dangerous areas in Philip 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 Philip, SD Safe from Robbery?

The C+ grade means the rate of robbery is about the same as the average US city. Philip is in the 46th percentile for safety, meaning 54% of cities are safer and 46% of cities are more dangerous. This analysis applies to Philip's proper boundaries only. See the table on nearby places below for nearby cities.

The rate of robbery in Philip is 0.4621 per 1,000 residents during a standard year. People who live in Philip generally consider the north part of the city to be the safest.

Your chance of being a victim of robbery in Philip may be as high as 1 in 1,978 in the southeast neighborhoods, or as low as 1 in 2,894 in the north part of the city.

By a simple count ignoring population, more robbery occurs in the south parts of Philip, SD: about 0 per year. The north part of Philip has fewer cases of robbery with only 0 in a typical year.

How Philip's Robbery Rate Compares

The chart below compares the robbery rate in Philip to the South Dakota state average and the national average. All rates are the number of crimes per 1,000 residents in a standard year.

Considering only the robbery rate, Philip is less safe than the South Dakota state average and safer than the national average.

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

The Cost of Robbery in Philip, SD

Robbery is projected to cost the residents of Philip about $12,646 in 2025, or roughly $15 per resident. This is part of Philip's overall Cost of Crime™. See the full cost-of-crime breakdown for Philip, including every crime type and how Philip compares to other cities.

Interpreting the Robbery Map

Remember that robbery 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 Philip's crime maps on the Philip 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 Philip, SD at ISP Reports.

Individual Philip Crime Maps & Stats

Robbery Maps and Rates for Nearby Cities

Compared to surrounding cities, the rate of robbery in Philip is similar. The table below shows Crime Grades for cities close to Philip.

Nearby City	Overall Crime Grade	Violent Crime Grade	Property Crime Grade	Robbery Crime Grade
Philip Junction, SD	D-	F	D+	C+
Cottonwood, SD	D-	F	C-	B-
Ottumwa, SD	D-	D	B	B
Kadoka, SD	F	F	F	D-
Cactus Flat, SD	D-	D	D+	C
Nowlin, SD	D-	F	C	B-
Quinn, SD	F	D+	D	D+
Interior, SD	D-	F	D	C+
Milesville, SD	D-	D	B	B
Midland, SD	D-	D-	B-	B

Robbery in City with Similar Populations

Philip is higher versus other cities of the same size for robbery. The table below compares robbery in cities with comparable overall population.

Similar City	Overall Crime Grade	Violent Crime Grade	Property Crime Grade	Robbery Crime Grade
Dixons Mills, AL	F	D-	D-	C
Webster, MN	A	A+	A+	A-
Waynoka, OK	F	D-	D-	C-
Finlayson, MN	C	C	C	D+
Fairfield Center, ME	B	A	A	A+
Elwood, KS	D-	D	D	B
East Victor, NY	A+	A	A	B-
Doon, IA	B+	A-	A-	A-
Donnelsville, OH	A-	B	B	B-
Weir, KS	D	D	D	A-

Safety and school performance are separate topics, but both shape moving decisions. Using SchoolGrade data, schools in Philip, SD average SchoolGrade of C, with 36% actual proficiency versus 42% projected; overall, schools underperform expectations. See Philip schools on SchoolGrade

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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.