Lone Elm, KS Robbery Rates and Robbery Maps

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

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

The rate of robbery in Lone Elm is 0.4135 per 1,000 residents during a standard year. People who live in Lone Elm generally consider the south part of the city to be the safest.

Your chance of being a victim of robbery in Lone Elm may be as high as 1 in 2,297 in the east neighborhoods, or as low as 1 in 2,802 in the south part of the city.

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

How Lone Elm's Robbery Rate Compares

The chart below compares the robbery rate in Lone Elm to the Kansas 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, Lone Elm is less safe than the Kansas 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 Lone Elm, KS

Robbery is projected to cost the residents of Lone Elm about $2,445 in 2025, or roughly $13 per resident. This is part of Lone Elm's overall Cost of Crime™. See the full cost-of-crime breakdown for Lone Elm, including every crime type and how Lone Elm 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 Lone Elm's crime maps on the Lone Elm 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 Lone Elm, KS at ISP Reports.

Individual Lone Elm Crime Maps & Stats

Robbery Maps and Rates for Nearby Cities

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

Nearby City	Overall Crime Grade	Violent Crime Grade	Property Crime Grade	Robbery Crime Grade
Kincaid, KS	C-	A-	D+	A
Mildred, KS	D	D+	C+	B-
Colony, KS	D+	B	D+	C+
Welda, KS	C-	B+	D+	A
Selma, KS	C-	B+	C-	A
Carlyle, KS	C	D+	A-	C-
La Harpe, KS	C	D+	A-	C-
Gas, KS	C-	D	B-	B-
Moran, KS	D	D+	C+	B
Iola, KS	D-	D-	D+	C+

Robbery in City with Similar Populations

Lone Elm is lower 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
Gifford, IA	C	B	B	B-
West Petersburg, IN	A+	A-	A-	A-
Westford, NY	A	A+	A+	C+
Wetsel, OH	B	C+	C+	C-
Whitacre, VA	A-	A-	A-	A
Guion, IN	C+	C-	C-	C
Greenock, PA	B	B-	B-	C-
Greencastle, OH	B+	B	B	C-
Greble, PA	A+	A+	A+	B+
Goodenow, IL	A-	B-	B-	F

Safety and school performance are separate topics, but both shape moving decisions. Using SchoolGrade data, schools in Lone Elm, KS average SchoolGrade of D-, with 25% actual proficiency versus 29% projected; overall, schools don't meet expectations. See Lone Elm 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.