Category Archives for "Research"

Safest Cities in Wyoming, 2018

Safest Cities Wyoming - header

Wyoming – A state that suggests open spaces and plains. Almost half of the state’s land is owned by the government. It retains, through an association with the individual and westward expansion, that is engrained to folklore. The population of only approximately 579,000 is spread over the 10th largest state area in the US. This makes its population density the lowest in the US. Several national monuments and parks are located in the state, most notably Yellowstone and Grand Teton.

Wyoming’s economy is dominated by agriculture, but tourism and natural mineral extraction are also significant. The state has been losing population to neighboring states due to their energy booms. Considering the state’s household and per capita incomes, the averages of $60,000 and $31,000 respectively are almost exactly in-line with national averages.

2.08 Average violent crime per 1,000
22.92 Average property crime per 1,000

Wyoming’s crime statistics are low by US average standards. Specifically, they include:

  • It’s the 13th safest state for property crime (where 1st = lowest crime)
  • The state violent crime rate is considerably below the national average with a ratio of 0.57 based upon 2.08 violent crimes per 1,000 versus the national average figure of 3.47. It is the 10th safest state in violent crime tables
  • Property crime is also significantly lower than national levels at 22.92 against the national level of 40.43 – giving a ratio of 0.60

Certain areas of Wyoming are statistically safer than others. The top 5 safest areas of the state include:

  1. Green River
  2. ​Jackson
  3. Laramie
  4. Gillette
  5. Sheridan

Safest Cities in Wyoming, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Green River201221.6279.928
2Jackson281702.61915.900
3Laramie304490.91913.759
4Gillette415691.24917.334
5Sheridan83570.44419.794
6Evanston162431.32820.176
7Rock Springs1114764.64719.928
8Casper911,7271.51628.767
9Riverton355363.17448.604
10Cheyenne2092,2653.22934.992

METHODOLOGY

To identify the safest cities in Wyoming, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in Minnesota, 2018

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Minnesota – Called “the land of 10,000 lakes”, this mid-western state was sold to the early USA by France as part of the Louisiana Purchase. For many years, it was known as a great center of prairie agriculture but by the mid-20th century, it had also developed a thriving industrial presence. Today that industrial base has been augmented by new and high-tech industries and scientific research centers.

Around 5.4 million people call the state home, of which a little over 60% inhabit the greater Minneapolis-Saint Paul “twin cities” metropolitan area. It ranks 30th in the US for population density. Economically, Minnesota is an affluent state, being one of the wealthiest in the Union. Its standard of living index is the highest in the USA and it also features towards the top in education assessment.

1.86 Average violent crime per 1,000
23.62 Average property crime per 1,000

Minnesota household incomes are in excess of 10% higher than US averages at $68,000. Specifically, in the Minneapolis-Saint Paul area, the excess is even higher at 25% above US norms, being $77,000. State per capita income at nearly $36,000 (2017) is approximately 10% higher than US averages.

The crimes statistics for the state are roughly at half the national average. Specifically:

  • It’s the 14th safest state for property crime (where 1st = lowest crime)
  • Minnesota’s violent crime levels have a ratio of 0.53 to the national average with 1.86 crimes per 1,000 against the national average of 3.47. This makes it the 5th safest state for violent crime.
  • Property crime levels are similarly low at 23.62 per 1,000 compared to the national average of 40.43 – giving a ratio of 0.58.

The safest areas statistically are:

  1. Big Lake
  2. Orono
  3. Hibbing
  4. Lino Lakes
  5. Grand Rapids

Safest Cities in Minnesota, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Big Lake1590.0935.499
2Orono111220.5526.124
3Hibbing281121.7446.978
4Lino Lakes91950.4269.221
5Grand Rapids191371.68612.156
6South Lake Minnetonka111140.8919.236
7Hopkins332531.81413.910
8New Ulm231741.72713.067
9Rosemount142080.5778.576
10Farmington132090.5679.120
11Northfield281971.3659.604
12St. Peter151491.27312.650
13Hutchinson222801.58920.222
14Centennial Lakes101500.91313.691
15Eden Prairie328240.49712.789
16Lakeville445980.6999.498
17Chaska222550.8349.665
18Champlin262791.06511.426
19New Hope294061.38319.364
20Elk River244290.97617.444
21Plymouth639640.80412.303
22Savage264570.82614.512
23Golden Valley184520.83520.979
24North Mankato161621.17111.856
25Rochester2242,1431.94418.598
26Marshall322592.34318.960
27Owatonna324631.24017.939
28Moorhead908892.09320.675
29Minnetonka358990.66317.023
30Crystal504652.15820.066
31Fairmont112561.09725.531
32Sartell202851.15316.424
33Shakopee697571.67618.384
34Robbinsdale373682.54425.301
35Faribault695412.91022.814
36Anoka415052.35128.958
37Mendota Heights152321.32620.506
38Edina231,0610.44320.434
39Willmar684903.47825.060
40Ramsey144180.52515.689
41Cottage Grove157490.41420.660
42Eagan581,2700.86819.011
43Stillwater213951.08320.367
44Winona496181.81022.829
45Maple Grove501,2420.70517.501
46Alexandria414002.98129.078
47Woodbury591,2930.84318.477
48Sauk Rapids112860.79920.771
49Buffalo133340.80220.610
50North St. Paul192771.51522.081
51St. Paul1,99610,9356.50835.654
52Hastings364941.58821.790
53Rogers143441.07526.419
54Inver Grove Heights746772.09919.203
55Columbia Heights515042.58125.507
56Brooklyn Park2812,1673.49726.971
57Bloomington1402,5901.63430.220
58Mounds View113910.83729.743
59North Branch202241.93321.645
60Austin526392.10625.879
61New Brighton285931.23026.041
62South St. Paul755193.70625.649
63St. Louis Park491,3210.99326.765
64Richfield939222.57725.549
65Brooklyn Center1251,0764.03434.722
66Apple Valley651,1661.24022.235
67White Bear Lake447031.68826.971
68Mankato1071,3012.54530.942
69Burnsville1011,7531.64428.531
70Brainerd705545.26041.632
71Cloquet215101.73442.121
72Prior Lake306481.13724.570
73St. Cloud2562,7893.77041.068
74Oakdale609112.12932.327
75Fridley831,0313.01637.469
76Minneapolis4,61419,44611.01346.414
77Coon Rapids1011,7711.61628.338
78Duluth2793,8193.23344.250
79Blaine561,9410.87730.396
80Forest Lake307361.51537.164
81West St. Paul899714.50049.095
82Maplewood921,9112.26146.966
83Roseville891,9482.45953.818
84Bemidji561,2683.72084.230

METHODOLOGY

To identify the safest cities in Minnesota, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in Mississippi, 2018

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Mississippi – The state’s name suggests warm nights, exotic wildlife, music and a French legacy. Originally under French, Spanish and for a time British colonial rule, Mississippi developed a unique culture that included African influences from the slaves that formed a substantial part of the economy into the mid-19th century.

Once largely cotton and other agriculture based, the economy retains a heavy focus on the land and coastal/river agricultural use. Over-exploitation and natural habitat clearance through the latter 19th and 20th centuries have caused significant environmental problems through increased flooding.

For much of the 20th century, the economy suffered numerous hardships through recessions. Although things are now improved, today Mississippi remains amongst the poorest states in the US. Home to 2.9million people, the state’s average household income at $44,000 is over 10% lower than the US average. Median per capita income is over 20% lower at almost $23,000. By contrast, Mississippi has the lowest living costs of any state.

2.67 Average violent crime per 1,000
36.91 Average property crime per 1,000

Broadly speaking, state crime is in line with national averages, illustrated by:

  • It is the 40th safest state for property crime (where 1st = lowest crime)
  • Violent crime levels are below US averages with a ratio of 0.77 based upon 2.67 violent crimes per 1,000 versus the national average figure of 3.47.
  • Property crime is slightly under national levels, at 36.91 against the national figure 40.43 – giving a ratio of 0.91.

Crime varies by location within the state. Overall, the five safest locations statistically are as follows:

  1. Madison
  2. Brandon
  3. Byram
  4. Ridgeland
  5. Oxford

Safest Cities in Mississippi, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Madison112510.4189.530
2Brandon272241.1199.285
3Byram182381.55920.608
4Ridgeland596332.40325.783
5Oxford366641.49627.585
6Brookhaven673425.43227.728
7Horn Lake327031.17725.847
8West Point492764.53025.515
9Southaven751,4791.39127.425
10Ocean Springs326711.80837.914
11Laurel849154.47048.696
12Starkville419221.58635.665
13Meridian1941,5025.00338.733
14Hattiesburg1302,1132.75944.847
15Gautier647213.46939.076
16Pascagoula721,4503.28366.126
17Gulfport2993,6624.10850.308
18Biloxi1782,9633.84864.047
19D'Iberville109070.84476.527

METHODOLOGY

To identify the safest cities in Mississippi, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in Missouri, 2018

missouri safe cities 2018

Missouri – Known as the “Show Me” state, indicating the natural skepticism of its inhabitants, its official position is that it can be pronounced either “Missourah” or “Missouri.” It was famous as being the jumping-off point for much westward colonization. It has a population of approximately 6 million, making it 18th in the US state tables.

Traditionally Missouri was noted for its beer industry and agricultural products. This has broadened quite substantially, and Missouri is now home to thriving aerospace, financial services, technology, food services and transportation industries. It is a prosperous state, ranking 22nd in US state financial product terms.

3.90 Average violent crime per 1,000
34.13 Average property crime per 1,000

At just over $54,000, Missouri’s average household income is below the US national average by around 10%. Individual income averages at $29,000 are similarly 10% below US statistical averages. Crime statistics for Missouri indicate that there are some challenges. Specifically, statistics show:

  • Missouri is the 36th safest state for property crime (where 1st = lowest crime)
  • It has a violent crime rate that is above the national average (1.13 ratio) with 3.9 crimes per 1,000 against the national average of 3.47.
  • Considered alongside national averages, property crime levels are slightly under at a ratio of 0.84 with 34.13 crimes per 1,000 compared to the national average of 40.43.

In all states, crime statistics vary by locality. The top 5 safest areas in Missouri are:

  1. Ballwin
  2. Webster Groves
  3. Town and Country
  4. Clayton
  5. Kirkwood

Safest Cities in Missouri, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Ballwin121690.3965.578
2Webster Groves271671.1767.271
3Town and Country51300.44811.652
4Clayton202561.19515.290
5Kirkwood283541.01412.816
6Manchester92180.49612.008
7St. Ann693155.39924.650
8Creve Coeur243041.28016.217
9Maryville241512.03012.775
10Jackson261891.70512.392
11Lake St. Louis182511.12615.708
12Maryland Heights785782.88021.342
13O'Fallon1581,0061.80811.512
14Eureka91980.85018.700
15Festus412103.36417.231
16Crestwood122411.00820.245
17Chesterfield538471.11117.762
18Nixa213110.97314.415
19Kearney111531.09615.251
20Excelsior Springs213071.81226.484
21Mexico152981.28125.451
22Florissant1081,0352.08920.022
23Lee's Summit1331,8691.37319.297
24Raymore154540.71121.506
25Overland435622.72835.660
26Jefferson City1521,2543.53629.170
27Grain Valley222691.59119.458
28Hazelwood827923.22831.180
29Liberty725432.33417.601
30Troy432493.56020.614
31Moberly813895.85328.111
32St. Peters881,3121.51522.590
33Sikeston618163.73749.988
34Blue Springs1201,6002.19329.236
35Vinita Park14140912.74736.977
36St. Charles1581,7652.26325.285
37Bellefontaine Neighbors853027.96028.282
38Gladstone1207034.38125.666
39Marshall254111.94331.942
40Webb City133211.15528.511
41Fulton354612.66035.030
42Republic493763.00323.045
43Harrisonville443794.38137.738
44Warrensburg425752.05028.072
45Arnold388181.77638.226
46Rolla1127395.55936.680
47Cape Girardeau2341,5235.86738.183
48West Plains374912.99239.702
49University City2091,2106.04034.970
50Belton869433.68940.451
51Ozark475842.38729.663
52St. Louis6,46118,74520.82360.412
53Kansas City8,36222,03517.24345.438
54Carthage615934.26841.492
55Washington435263.05537.377
56Lebanon447272.98549.325
57Grandview1681,0736.63842.398
58Farmington456532.40534.901
59Hannibal928395.17147.159
60Bridgeton879617.43482.116
61Bolivar505104.59946.905
62Columbia6103,5974.97629.343
63Poplar Bluff1051,1046.08263.948
64Union285562.44648.572
65Sedalia1511,1257.02352.323
66Ferguson1509397.21545.168
67Kirksville445772.51132.934
68Kennett685926.47356.354
69Neosho355952.86048.623
70Independence6466,7025.51957.255
71Branson531,4424.580124.622
72Raytown1651,4105.64648.248
73Joplin3173,7296.04871.148
74St. Joseph4385,1465.73067.325
75Springfield2,25814,93213.38888.536

METHODOLOGY

To identify the safest cities in Missouri, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in New York, 2018

Safest Cities New York- header

New York – The state needs little introduction, being nationally and globally famous for its largest city of the same name. One of the original 13 colonies, New York became a major entry point for immigrants to the developing US. Although New York City is the most populous in the US, upstate New York is mountainous and famed for its scenery and recreational facilities.

The population of 19.5 million makes New York the 4th most populous state overall, and the 7th most densely populated. From the 19th century, NYC and lower parts of the state became an industrial and financial powerhouse. Wealth today is generated from financial services, manufacturing, entertainment and tourism.

2.34 Average violent crime per 1,000
17.64 Average property crime per 1,000

As might be expected, New York incomes are higher than the national average. Household and per capita income at $65,000 and $37,000 respectively, are approximately 8-10% above US averages. Contrary to some common myth, the state’s crime statistics are considerably below US averages. Specifically:

  • It’s the 8th safest state for property crime (where 1st = lowest crime)
  • New York’s violent crime has a ratio of 0.67 against the nation’s average with 2.34 crimes per 1,000 against the US’ 3.47. This makes it the 13th safest state for violent crime.
  • The state’s property crime levels are well below national levels, being 17.64 per 1,000 compared to the national average of 40.43 – giving a ratio of 0.44.

Statistically, the safest areas of New York are:

  1. Lewisboro Town
  2. Bedford Town
  3. Floral Park Village
  4. Port Washington
  5. Tarrytown Village

Safest Cities in New York, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Lewisboro Town-10.0000.078
2Bedford Town5370.2782.056
3Floral Park Village9420.5642.632
4Port Washington5990.2585.107
5Tarrytown Village9490.7774.233
6Harrison Town11160.0354.073
7Mamaroneck Town1600.0824.911
8Rye5730.3124.557
9Lynbrook Village181020.9195.210
10Long Beach211990.6225.893
11East Hampton Town172260.85311.336
12Mamaroneck Village191310.9786.744
13Glen Cove81510.2925.511
14Scarsdale Village61280.3337.099
15Warwick Town131040.7075.660
16Southold Town172140.85010.705
17Dobbs Ferry Village4890.3597.999
18Peekskill341791.4097.419
19Rockville Centre Village241860.9737.544
20Garden City Village22140.0899.478
21Stony Point Town9760.5794.891
22New York46,433124,8155.38914.486
23Yorktown Town122170.3235.842
24Eastchester Town51710.2498.528
25Schodack Town3430.2573.680
26East Fishkill Town201430.6784.847
27Orangetown Town463031.2178.015
28Yonkers8102,0234.01910.037
29Freeport Village944072.1699.390
30East Aurora-Aurora Town3910.2176.591
31Haverstraw Town422981.1197.939
32White Plains1039821.76216.798
33Fallsburg Town131071.0808.886
34Blooming Grove Town11620.9275.226
35Ramapo Town446930.4687.371
36Port Chester Village493221.65510.873
37New Rochelle1821,1492.27614.370
38Hempstead Village3325935.94910.626
39Southampton Town626111.21611.983
40Saratoga Springs564592.00316.415
41Cohoes412002.41111.760
42Lancaster Town234060.61410.839
43Tonawanda Town1009121.74815.938
44Orchard Park Town292550.9768.579
45Poughkeepsie2136037.06319.994
46Mount Vernon4371,2946.37918.889
47Clarkstown Town891,1251.08813.751
48Dunkirk431963.63016.547
49Cortland163190.85417.027
50Kingston734493.15919.429
51Plattsburgh City313551.57017.982
52Glens Falls291902.03313.317
53New Paltz Town and Village221651.55811.681
54New Windsor Town263630.94213.148
55West Seneca Town445630.96512.347
56Depew Village172461.12216.238
57Beacon442403.09616.887
58Lloyd Town61000.5739.556
59Evans Town182151.11413.303
60Oswego City363832.05621.873
61Saugerties Town242121.26111.139
62North Greenbush Town81520.65412.424
63Rome715632.20517.484
64Amsterdam313401.74819.169
65Oneonta City272341.93316.754
66Fredonia Village131571.23314.891
67Manlius Town173410.69213.890
68Kenmore Village132310.86215.313
69Canandaigua332063.19219.928
70Geneva282892.16222.315
71Middletown1036583.73123.835
72Watervliet422054.15820.297
73Tonawanda453113.03921.002
74North Tonawanda375071.21516.649
75Spring Valley Village1333904.05511.892
76Amherst Town1241,8681.02415.419
77Olean313812.26427.822
78East Greenbush Town73350.42520.351
79Albany8763,3948.92334.571
80Camillus Town and Village162970.64812.026
81Gloversville643624.31524.407
82Rochester1,8727,9348.97538.036
83Syracuse1,0094,8177.05333.669
84Newburgh34774712.35826.603
85Corning402653.72124.649
86Geddes Town72150.68320.986
87Ogdensburg293812.71435.657
88Utica3371,9865.58032.884
89Ulster Town83420.64127.419
90Colonie Town841,9021.05623.917
91Ithaca568981.81429.085
92Buffalo2,6119,82710.19238.361
93Hamburg Town378740.80418.983
94Guilderland Town276850.79220.089
95Niskayuna Town154110.66518.233
96Shawangunk Town2780.1435.564
97Ogden Town132100.64010.334
98Jamestown1968796.63029.734
99Vestal Town225730.78320.399
100Cheektowaga Town1872,2962.41129.597
101Schenectady5772,0578.91731.788
102Troy3511,7327.07034.888
103Dewitt Town487151.88928.144
104Endicott Village744285.72233.096
105Binghamton3621,9837.97443.679
106Wallkill Town656322.25121.883
107Brighton Town287810.76521.341
108Niagara Falls5442,33611.24348.279
109Watertown1391,0545.39940.938
110Newburgh Town241,0590.77834.314
111Irondequoit Town1091,1182.16322.186
112Batavia944846.39032.901
113Glenville Town144640.64721.432
114Greece Town1741,9351.80820.110
115Rotterdam Town378231.25127.817
116Woodbury Town45050.36345.838
117Johnson City Village917566.23551.799
118New Hartford Town and Village165950.78829.292
119Gates Town608412.08929.280

METHODOLOGY

To identify the safest cities in New York, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in North Carolina, 2018

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North Carolina – An original 13 colonies state, it had some of the earliest European settlements including those sponsored by Sir Walter Raleigh. Plagued by pirates in earlier times, the remains of Blackbeard’s “Queen Anne’s Revenge” is now a listed site. Its population of 10.5 million ranks it 9th in the US. It is 15th for population density.

Economically, the state is highly diverse and was voted by Forbes as being the most business-friendly state of the US. Industries include tobacco, hydro-electricity, agriculture, textiles and more recently high-tech manufacturing. The city of Charlotte is the second largest center of US banking after New York City. However, it is also cited as having the 4th highest poverty rate in the country, with 13% of families living below the poverty line.

3.84 Average violent crime per 1,000
32.30 Average property crime per 1,000

Household average incomes at $53,000 are a little over 10% lower than the US average overall. Per capita income at $30,000 is similarly positioned. North Carolina’s crimes statistics show a displacement around national averages.

  • It’s the 33rd safest state for property crime (where 1st = lowest crime)
  • The violent crime rate is slightly higher than the US average (ratio 1.11) with 3.84 crimes per 1,000 when measured against the national average of 3.47 - making it the 30th safest state for violent crime
  • Property crime levels are slightly lower than the national average at 32.3 per 1,000 compared to the national average of 40.43 – giving a ratio of 0.80.

The top 5 statistically safest areas in North Carolina are:

  1. Elon
  2. Pinehurst
  3. Holly Springs
  4. Archdale
  5. Apex

Safest Cities in North Carolina, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Elon6520.5835.057
2Pinehurst51300.3108.052
3Holly Springs163170.4589.084
4Archdale121921.02916.461
5Apex246430.48813.080
6Waxhaw141700.92811.266
7Mount Holly272611.84417.828
8Stallings121810.76611.561
9Davidson41570.31412.340
10Cary1071,7950.64110.749
11Knightdale102690.64817.441
12Clayton233671.09517.466
13Boone253821.30619.960
14Fuquay-Varina333761.20313.708
15Wake Forest417410.97617.635
16Kannapolis849801.72320.101
17Mount Airy324483.09543.335
18Concord941,7911.02419.519
19Leland173490.85917.639
20Kings Mountain263622.40233.444
21Mooresville599981.59226.937
22Morrisville194110.73315.866
23New Bern1401,0054.63733.288
24Huntersville619931.08417.644
25Chapel Hill791,2841.32721.561
26Southern Pines424712.99533.583
27Newton464513.52234.536
28Carrboro384301.76319.951
29Tarboro393593.57032.863
30Lincolnton463694.25034.094
31Rocky Mount3801,9846.89736.009
32Lenoir497912.73344.111
33Hendersonville476913.36549.474
34Mint Hill434671.60017.381
35Eden915725.94037.334
36Elizabeth City1258217.02246.118
37Jacksonville2181,9613.24029.141
38Smithfield705685.60545.480
39Matthews531,0051.64331.158
40Wilmington7484,3186.26436.157
41Havelock214861.04224.111
42Albemarle897385.55546.062
43Kernersville781,2493.22051.565
44Garner961,0823.27836.945
45Burlington4992,0169.41838.048
46Greensboro2,10410,3327.25435.621
47Hickory2142,0935.26451.485
48Greenville5783,3946.24036.640
49Belmont426343.86058.272
50Fayetteville1,4218,8116.91742.890
51Charlotte-Mecklenburg6,06834,8946.63538.152
52High Point7564,1616.72837.030
53Reidsville1187498.48953.885
54Henderson18267312.02844.478
55Asheville5514,2486.11547.146
56Mebane585793.96739.606
57Durham2,13210,2967.92338.263
58Thomasville1161,2704.28546.914
59Goldsboro2691,7967.50950.134
60Asheboro1271,5274.83858.165
61Kinston2661,21912.79458.631
62Hope Mills1078096.55449.556
63Gastonia5673,7147.44248.746
64Roanoke Rapids1078507.09456.355

METHODOLOGY

To identify the safest cities in North Carolina, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in Ohio, 2018

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Ohio – A midwestern state in the Great Lakes area, Ohio became one of the major industrial powerhouses of the US in the 19th and 20th centuries and was famous for its automobile industry. Well known politically as a swing and bellwether state, it suffered significant hardships in its manufacturing base in the late 20th and early 21st centuries. This has been offset more recently by a switch to an information and services economy although its industrial output remains large. It is the 8th state in terms of state GDP.

Ohio has a large population at 11.6 million, making it the 7th state in population terms and the 10th for population density. Incomes in Ohio are significantly lower than US averages. Average household income levels are around $54,000. Individual income is around $30,000. Both figures are in the region of 7-10% under the US average.

1.95 Average violent crime per 1,000
24.25 Average property crime per 1,000

Ohio’s crime statistics are significantly below overall US averages. Overall fiugres show:

  • It’s the 16th safest state for property crime (where 1st = lowest crime)
  • The violent crime rate is roughly half the national average with a ratio of 0.56 based upon 1.95 crimes per 1,000 versus a national average of 3.47. This makes it the 8th safest state in the US for violent crime
  • Property crime is also just over half the US average being 24.25 per 1,000 compared to the national average of 40.43.

As elsewhere, in Ohio, some areas are safer than others. The top safest areas statistically are:

  1. Brecksville
  2. Sylvania
  3. Solon
  4. Seven Hills
  5. North Ridgeville

Safest Cities in Ohio, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Brecksville2520.1493.871
2Sylvania6860.3174.548
3Solon131820.5657.905
4Seven Hills3500.2574.285
5North Ridgeville171400.5064.168
6New Albany4920.3698.489
7Avon Lake81240.3365.202
8Brunswick211940.6035.569
9Wickliffe91520.71011.988
10Springboro101220.5376.548
11Poland Township3530.2524.446
12Powell61030.4617.905
13Clearcreek Township11740.7084.765
14Berea81400.4247.419
15Lyndhurst181801.32513.249
16Aurora31870.18811.737
17Clayton51180.3808.974
18Maumee53050.36222.087
19Perrysburg Township51670.39113.063
20Amherst51570.41412.986
21Worthington112670.74918.173
22Hilliard174040.47011.178
23Macedonia52060.41617.128
24Miamisburg142570.70312.896
25Centerville143730.58915.684
26Bedford252281.97818.037
27Blue Ash162781.30622.698
28Copley Township151630.8689.433
29Mason123570.35910.687
30Shawnee Township141351.15711.161
31Harrison61820.53416.184
32Parma1419061.77711.419
33North Olmsted264700.81814.790
34Richmond Heights192061.82119.747
35Kettering708601.26915.593
36Kent444511.45414.899
37Mentor729081.54319.459
38Pierce Township51510.43012.991
39Wadsworth243331.02614.238
40Vandalia263101.73120.636
41Cleveland Heights1318792.94219.742
42Upper Arlington125120.34114.540
43Streetsboro113430.67521.033
44Strongsville188520.40219.036
45Greenville402743.13221.453
46Eastlake143300.77518.276
47Ashland253751.22018.306
48Monroe194061.18725.372
49Norton91860.75015.503
50Bowling Green415871.29018.471
51Gahanna257910.70922.444
52Lakewood741,1991.47623.908
53Forest Park504352.67923.306
54Troy385021.46919.408
55Delhi Township154160.50614.045
56Fairborn827232.41621.305
57Delaware646971.62817.729
58Van Wert223302.05430.804
59West Carrollton232851.78322.096
60Xenia558112.08930.800
61Fairfield909322.11121.864
62Bexley204201.45230.494
63Reading282912.71728.233
64Springfield Township, Hamilton County736741.99618.430
65Elyria1911,1463.56421.386
66Stow326900.92219.889
67Cuyahoga Falls491,2090.99724.601
68Union Township, Clermont County398910.80918.480
69Miami Township, Clermont County346250.80314.757
70Zanesville1001,1573.92845.449
71Huber Heights779512.02725.029
72Defiance264641.56727.962
73Youngstown4472,3626.99736.970
74Austintown627891.75622.349
75Cincinnati2,83315,1059.47150.499
76Reynoldsburg991,0622.62628.167
77Salem213481.76729.276
78Findlay1281,3043.08631.441
79Beavercreek381,1110.81623.856
80Englewood194431.40732.805
81Alliance758003.43436.633
82Sidney428222.05240.164
83Mount Vernon226211.32937.516
84Lorain3732,0195.85831.709
85Columbus4,47834,4085.13439.449
86Akron1,3778,3606.97542.348
87Sandusky709952.81640.023
88Barberton1038813.95433.820
89Lancaster1271,7063.17342.622
90Washington Court House415482.90038.766
91Hamilton3122,6085.02542.001
92Wooster1029163.75433.711
93Piqua548192.57539.050
94Wilmington236451.85251.949
95Urbana254042.20235.592
96Lima2751,9827.38953.251
97Whitehall1251,2696.63767.375
98Heath235982.15355.987
99Circleville577144.08051.102
100Warren2271,6085.72640.562
101Steubenville491,1322.72562.962
102Colerain Township1001,7081.69528.951
103Middletown2492,9565.10060.539
104Fairfield Township267581.15433.653
105Springfield3704,0246.28868.385
106American Township12090.08217.120

METHODOLOGY

To identify the safest cities in Ohio, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in Oklahoma, 2018

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Oklahoma – One of the states associated with the Great Plains, cattle drives and agriculture, Oklahoma was a 20th century admission to the Union. Its name is derived from Native American languages meaning “red people”. The state has a population of 3.9 million which is largely (approximately 2/3rds) located in the two main population centers of Oklahoma City and Tulsa. It ranks 35th in terms of its population density.

Oklahoma’s economy is based heavily around agriculture and livestock. At one time oil production was a major source of revenue but this suffered badly in late 20th century downturns. Today aviation, electronics, bioscience and food processing, are all major contributors to the state’s income. Household incomes in Oklahoma average $50,000 – approximately 15% below US average. The per capita income figure of $26,000 is approximately 20% below US overall figures.

3.75 Average violent crime per 1,000
29.45 Average property crime per 1,000

Oklahoma’s crime figures are roughly comparable to US averages:

  • It’s the 28th safest state for property crime (where 1st = lowest crime)
  • The state’s violent crime rate is slightly above national averages with a ratio of 1.08 based upon 3.75 violent crimes per 1,000 versus the national average figure of 3.47.
  • Property crime is slightly under the national level at 29.45 against the national level of 40.43 – giving a ratio of 0.73

Some locations in Oklahoma show low crime statistics. In statistical terms, the top 5 safest areas of the state include:

  1. Weatherford
  2. Mustang
  3. Yukon
  4. El Reno
  5. Guymon

Safest Cities in Oklahoma, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Weatherford202311.64218.969
2Mustang342181.58910.191
3Yukon374241.37215.721
4El Reno533292.77017.195
5Guymon221651.87514.063
6Miami342962.52421.975
7Elk City92640.74621.896
8Guthrie382673.24422.795
9Glenpool512193.65515.694
10Edmond1541,2341.65813.287
11Stillwater1371,1232.73122.389
12Owasso697291.87119.773
13Jenks442871.93912.647
14Altus535092.78226.714
15Sapulpa545562.56426.398
16Newcastle72120.69921.177
17Claremore315111.61926.688
18Choctaw182171.43417.283
19Broken Arrow1352,3741.24121.815
20Bixby345191.30119.861
21Moore1101,1841.76118.951
22Duncan348081.48435.270
23Bethany565572.85428.389
24Sand Springs255791.25128.983
25Bartlesville821,1472.22931.179
26Woodward383473.00327.420
27Chickasha904925.45829.838
28Enid1741,7513.39534.161
29Norman3503,3652.82127.121
30Midwest City1531,8412.64831.867
31Warr Acres554555.24843.416
32Ponca City2029578.28039.226
33Ada576053.26634.661
34Lawton8313,6188.82838.435
35McAlester1058415.77546.257
36Muskogee4611,71112.06844.792
37Oklahoma City5,10424,3267.87337.525
38Tahlequah269201.53854.422
39Shawnee3881,43512.23045.232
40Ardmore1311,1125.19644.108
41Okmulgee894987.30540.877
42Durant619443.41352.823
43Del City1658757.48439.690
44Tulsa4,21422,08810.40854.556

METHODOLOGY

To identify the safest cities in Oklahoma, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in Oregon, 2018

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Oregon – A western Pacific state, Oregon is famous for its countryside and leisure opportunities as well as its timber industry. The state also has a worldwide reputation for its liberal lifestyle and laws. Geographically the state is highly varied with forests, rivers, coastlines, mountains and volcanoes. Oregon’s population tallies around 4.1 million. The population density is low and the state ranks 39th in the US.

State wealth historically was based around fishing, hydroelectricity and timber plus mining. More recently it has become known as a center for high-technology. Tourism and leisure are also significant industries. It ranks the 25th state in terms of GDP, however, around 21% of the population uses food stamps and in 2016, unemployment was above US averages. Household average income levels compare well to US overall averages. Household income at $60,000 and per capita at $32,000 are both at - or close to - national averages.

2.50 Average violent crime per 1,000
31.41 Average property crime per 1,000

Oregon’s crimes statistics are impressive:

  • It’s the 32nd safest state for property crime (where 1st = lowest crime)
  • Violent crime is recorded at a ratio 0.72 with 2.5 crimes per 1,000 versus a national average of 3.47 making it the 15th safest state for violent crime
  • Property crime levels are 31.41 per 1,000 compared to the national average of 40.43 – giving a ratio of 0.72.

The top 5 safest areas include:

  1. Lake Oswego
  2. Canby
  3. Sherwood
  4. Monmouth
  5. Beaverton

Safest Cities in Oregon, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Lake Oswego154520.38211.496
2Canby282261.57112.680
3Sherwood162280.82211.709
4Monmouth131331.26412.935
5Beaverton1721,7601.73917.796
6Milwaukie324751.52122.584
7Silverton182181.77621.507
8Hillsboro2682,1442.49519.957
9Hermiston474822.70527.738
10Dallas473352.91020.740
11Forest Grove624322.52917.618
12Bend1541,9601.64220.899
13Central Point494772.64525.749
14Tigard1011,4291.92327.207
15Lebanon456212.67436.907
16Corvallis751,4401.30325.010
17Cottage Grove305202.94651.071
18Tualatin408521.44030.668
19Keizer798262.00520.966
20Klamath Falls1066954.72530.977
21Grants Pass1031,6272.70542.724
22McMinnville509041.42325.737
23Redmond829332.74531.235
24Eugene6516,2763.86837.288
25Ashland417831.87135.740
26Salem6417,1953.78042.432
27Woodburn868573.32733.155
28Gresham3863,7133.43233.014
29Springfield1692,4662.71239.571
30Roseburg531,2782.35556.787
31Portland3,34936,8675.15756.770
32Medford3764,9364.54259.619
33Coos Bay601,2443.67076.100

METHODOLOGY

To identify the safest cities in Oregon, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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Safest Cities in Pennsylvania, 2018

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Pennsylvania – This is a state which played a pivotal position for many of the key events in early US history. One of the original 13 colonies, the Declaration of Independence and Constitution were drafted in Philadelphia. With 12.8 million inhabitants, the Commonwealth of Pennsylvania has the 5th highest population in the US and is ranked 9th in terms of its population density.

Long regarded as a major powerhouse of US industry, the state was hit hard by recession and overseas competition in the latter 20th and early 21st centuries – notably in its once dominant steel industry. Even so, it remains a major force in US commerce with manufacturing, high-tech and financial service sectors. Agriculture and tourism are also major contributors to the states economy. Pennsylvania’s income figures are broadly in line with national averages, at $59,000 for households and $32,000 per capita.

1.99 Average violent crime per 1,000
15.13 Average property crime per 1,000

The state has crimes statistics that are below national averages:

  • It’s the 5th safest state for property crime (where 1st = lowest crime)
  • Pennsylvania’s level of violent crime is roughly half the national average (ratio=0.57) with 1.99 crimes per 1,000 against the national average of 3.47. This makes it the 9th safest state in violent crime terms.
  • Property crime levels are considerably below national averages, being 15.13 per 1,000 compared to the national average of 40.43 – giving a ratio of 0.37.

While the state overall has impressive figures, some areas have very low crime levels:

  1. Whitehall​
  2. Upper Providence Township, Delaware County
  3. Penn Township, Westmoreland County
  4. South Park Township
  5. Willistown Township

Safest Cities in Pennsylvania, 2019

RankCityViolent CrimesProperty CrimesViolent Crime RateProperty Crime Rate
1Whitehall4390.2922.843
2Upper Providence Township, Delaware County1290.0952.763
3Penn Township, Westmoreland County18300.9231.538
4South Park Township6270.4492.019
5Willistown Township-450.0004.104
6Jefferson Hills Borough8420.7013.678
7Cecil Township2560.1594.443
8Munhall6670.5396.014
9Warwick Township, Bucks County9510.6143.479
10Horsham Township71410.2625.276
11Upper St. Clair Township61050.3015.273
12Northampton Township181470.4573.731
13West Mifflin241151.2095.792
14South Fayette Township4630.2543.994
15Silver Spring Township1920.0575.240
16Buckingham Township1890.0494.376
17Whitemarsh Township101450.5608.116
18Adams Township, Butler County5490.3603.531
19Towamencin Township8970.4335.248
20Franklin Park2510.1363.472
21Central Bucks Regional91060.5876.915
22Newtown Township, Bucks County151190.6555.196
23Ferguson Township6960.3064.890
24Hampton Township11730.5963.956
25Upper Saucon Township7930.4185.554
26Mount Lebanon232240.7116.921
27Lower Salford Township8850.5175.488
28Northwest Lancaster County Regional9900.4564.555
29Upper Uwchlan Township2520.1734.506
30Easttown Township3670.2836.315
31Tredyffrin Township132260.4427.678
32Upper Southampton Township81180.5337.855
33New Britain Township4630.3575.615
34Forks Township51100.3227.089
35Uwchlan Township20981.0465.123
36Murrysville121120.5995.590
37Newtown Township, Delaware County81020.6077.733
38New Hanover Township6500.4583.818
39Ephrata371682.66112.080
40Plumstead Township13870.9356.256
41Lower Saucon Township18761.6647.025
42Upper Dublin Township182370.6849.001
43Upper Gwynedd Township111240.6867.730
44West Lampeter Township10870.6225.410
45Franconia Township5620.3764.664
46Southwestern Regional18741.0134.166
47Peters Township41370.1796.144
48West Chester503042.47715.062
49Plum711142.5874.155
50Northern Regional81850.2285.269
51Pennridge Regional11821.0027.469
52McCandless131780.4526.183
53Lower Moreland Township61630.45312.306
54North Middleton Township16561.3764.817
55North Strabane Township181161.2187.850
56Baldwin Borough191370.9636.945
57Upper Allen Township-1640.0008.151
58Doylestown Township101410.5708.040
59West Deer Township6770.5036.459
60Northern Berks Regional41000.3017.529
61Radnor Township252940.7859.228
62East Whiteland Township61450.51412.423
63Penn Township, York County201471.2208.967
64Lower Merion Township391,0340.66817.719
65Phoenixville291931.71011.383
66Bethel Park232920.7229.170
67Douglass Township, Montgomery County12761.1397.215
68Lower Makefield Township182910.5498.878
69West Hempfield Township121660.72610.036
70Hatfield Township231931.0999.223
71Lehigh Township, Northampton County21772.0197.404
72Northern Lancaster County Regional311690.8734.761
73Aston Township51340.2998.017
74St. Marys City91070.7258.620
75Slate Belt Regional321442.58111.615
76Elizabeth Township8880.6126.728
77Derry Township, Dauphin County264221.03716.825
78Emmaus81640.70014.356
79Warrington Township152400.6169.852
80North Fayette Township171811.16012.350
81Lower Burrell91350.79611.944
82Elizabethtown291232.49110.566
83Upper Macungie Township42550.16310.393
84West Goshen Township262491.11910.716
85Whitpain Township322561.65113.212
86Buffalo Valley Regional31280.23810.167
87Patton Township41540.2489.565
88Easton694772.55417.658
89Shaler Township192180.6747.729
90Haverford Township296550.59013.336
91Springfield Township, Montgomery County192340.96311.861
92North Versailles Township261752.13214.352
93Westtown-East Goshen Regional342421.0537.492
94Lower Gwynedd Township111500.95012.952
95Manor Township, Lancaster County421412.0056.731
96West Hills Regional6990.5909.737
97Moon Township152930.58111.349
98Lansdale162460.96614.854
99Warminster Township483851.48011.874
100Cumru Township221991.43412.972
101Meadville142311.08617.913
102Nether Providence Township101350.7259.790
103State College446160.75610.590
104Bloomsburg Town351752.40712.034
105Amity Township81130.6198.745
106Greensburg432972.99520.688
107East Pennsboro Township152020.6889.266
108Upper Providence Township, Montgomery County102830.41111.639
109Cranberry Township72900.2249.298
110Upper Moreland Township213810.86615.719
111Philadelphia14,93048,2689.47630.635
112Hazleton913043.70712.383
113Exeter Township, Berks County233040.89011.769
114Susquehanna Township, Dauphin County753592.99314.328
115Norristown1875745.44016.699
116Columbia241612.31815.553
117Palmer Township143420.64815.835
118West Norriton Township222731.39417.300
119Bethlehem Township243361.00114.016
120Monroeville644782.29517.140
121Ridley Township313440.99711.067
122Manheim Township596781.46916.878
123Montgomery Township93750.34114.221
124Hampden Township112580.3688.627
125East Hempfield Township253441.02014.039
126Plymouth Township, Montgomery County354791.96226.857
127Millcreek Township, Erie County1117342.06313.642
128Salisbury Township82110.57915.282
129Logan Township141751.11613.948
130Robinson Township, Allegheny County213021.52421.921
131York Area Regional874391.5747.945
132Lower Providence Township503091.86511.524
133Scott Township, Allegheny County322181.91813.066
134Southern Regional York County191551.65413.492
135Hilltown Township142050.91613.418
136Marple Township113400.46114.263
137Falls Township, Bucks County705782.08217.193
138North Huntingdon Township173400.55411.080
139Spring Township, Berks County103280.36411.951
140Northeastern Regional151321.27911.255
141Lower Pottsgrove Township221921.80615.765
142Scranton1981,6982.55521.910
143Waynesboro152361.37821.673
144East Norriton Township402912.82620.560
145Upper Darby Township3881,2974.69715.702
146Mifflin County Regional161540.9489.128
147Carlisle353701.82019.238
148Harrison Township122401.15923.170
149Lower Paxton Township997412.02215.131
150Kingston282142.18616.707
151Hopewell Township211851.70114.985
152Bethlehem5941,3597.88518.039
153Bensalem Township821,5341.36025.435
154Nanticoke281682.76016.562
155Newberry Township222171.41713.973
156Lower Southampton Township833534.34118.462
157Limerick Township93530.47018.438
158Fairview Township, York County421782.41510.234
159Erie3062,2583.12023.024
160Pittsburgh2,0089,5286.56431.144
161Pottsville632594.61718.981
162Coal Township141531.35314.784
163Middletown Township398310.86118.352
164Harrisburg5641,49411.55630.612
165Ross Township276060.88019.750
166Upper Merion Township181,0740.62837.452
167Lebanon895383.45320.876
168Northern York Regional457470.65010.794
169Berwick221952.18319.345
170Altoona1209182.70520.692
171Pocono Township252492.33523.258
172Wyomissing123141.15230.149
173Richland Township, Bucks County152111.13415.955
174Reading6242,1067.13224.072
175Hanover363782.30724.221
176Lower Allen Township273531.37718.007
177Lansdowne312392.92322.539
178Washington, Washington County634194.68931.187
179Indiana1212438.65317.377
180York4721,28810.76229.368
181Hermitage314611.96429.210
182Spring Garden Township333022.53023.152
183South Whitehall Township165730.80428.804
184Sandy Township201631.87615.289
185Springfield Township, Delaware County145880.57524.135
186Hanover Township, Luzerne County272492.49523.009
187Center Township312932.66625.198
188Wilkes-Barre2511,1016.21027.240
189East Lampeter Township175990.99535.062
190Upper Chichester Township303521.76120.666
191Lancaster5301,9998.95333.767
192Abington Township, Montgomery County541,2440.97222.383
193Bristol Township871,0811.62220.157
194West Whiteland Township174380.92223.766
195Allentown5573,3024.61027.329
196Muhlenberg Township245321.19126.402
197Sharon694135.18631.041
198Colonial Regional144560.68222.201
199Penn Hills1817594.36918.322
200Butler Township, Butler County263821.55822.888
201North Lebanon Township282252.33818.789
202Chester5471,12116.09632.986
203Pottstown1658177.26735.982
204Williamsport1078803.72330.616
205Chambersburg566012.69828.954
206Rostraver Township132711.17724.534
207Caln Township363092.54721.858
208Johnstown1576347.49530.268
209West Manchester Township415392.17328.571
210Stroud Area Regional861,0562.51030.824
211Pocono Mountain Regional937632.20318.075
212McKeesport44557921.25427.654
213Whitehall Township401,0151.45336.861
214Swatara Township881,0493.53942.184
215Butler664755.05536.379
216Richland Township, Cambria County125150.98742.376
217New Kensington504863.99738.855
218Wilkinsburg1155127.40532.968
219Springettsbury Township308601.11531.976
220Washington Township, Franklin County33200.20421.801
221Yeadon843627.30531.481
222Darby17240116.15337.660

METHODOLOGY

To identify the safest cities in Pennsylvania, we reviewed the most recent FBI Uniform Crime Report statistics. A total of 7,639 cities were factored into this ranking with populations ranging from 7,639 to 4,007,147. However, we eliminated any cities that failed to submit a complete crime report to the FBI and removed cities with populations under 10,000.

Overall, data from 8,793 law enforcement agencies that represented more 193 million of the US population helped us draw interesting insights between the size of the police force and incidence of crime.

There are two broad classifications of crimes: violent crimes and non-violent crimes. According to the FBI, “Violent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force. Property crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims. ”

We computed the total number of crimes reported by each city by adding violent crimes and property crimes. We then rated them using the population of the city and created a crime rate as the number of crimes per 1,000 population. Then we transformed the total crime rate variable so that the skewness was reduced and we normalized it so the final number became a score between 0 and 1.

Next, we computed a new variable called Police Adequacy (TotalCrimes / Number of police employees). We consider that the smaller the police adequacy statistic is, the safer the city is. We transformed and normalized this police adequacy variable also, resulting in a score between 0 and 1. Finally, we combined the two scores to create a safety score for each city.

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