Demographics details for Booneville, MS vs Mc clure, OH

Population Overview

Compare main population characteristics in Booneville, MS vs Mc clure, OH.

Data Booneville Mc clure
Population 8,978 693
Median Age 34.5 years 30.5 years
Median Income $48,655 $55,938
Married Families 31.0% 37.0%
Poverty Level 20% 12%
Unemployment Rate 4.8 4.0

Population Comparison: Booneville vs Mc clure

  • In Booneville, the population is higher at 8,978, compared to 693 in Mc clure.
  • Residents in Booneville have a higher median age of 34.5 years compared to 30.5 years in Mc clure.
  • Mc clure has a higher median income of $55,938, compared to $48,655 in Booneville.
  • In Mc clure, the percentage of married families is higher at 37.0%, compared to 31.0% in Booneville.
  • Booneville has a higher poverty level at 20% compared to 12% in Mc clure.
  • The unemployment rate in Booneville is higher at 4.8%, compared to 4.0% in Mc clure.

Demographics

Demographics Booneville vs Mc clure provide insight into the diversity of the communities to compare.

Demographic Booneville Mc clure
Black 17 Data is updating
White 76 65
Asian 1 4
Hispanic 1 16
Two or More Races 5 15
American Indian Data is updating Data is updating

Demographics Comparison: Booneville vs Mc clure

  • A higher percentage of Black residents are in Booneville at 17% compared to 0% in Mc clure.
  • Booneville has a higher percentage of White residents at 76% compared to 65% in Mc clure.
  • In Mc clure, the Asian population stands at 4%, greater than 1% in Booneville.
  • Mc clure has a higher percentage of Hispanic residents at 16%, compared to 1% in Booneville.
  • The percentage of residents identifying as two or more races is higher in Mc clure at 15%, compared to 5% in Booneville.
  • The percentage of American Indian residents is the same in both Booneville and Mc clure at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Booneville Mc clure
Mental Health Not Good 19.8% 16.4%
Physical Health Not Good 15.2% 10.5%
Depression 25.5% 22.4%
Smoking 24.7% 18.2%
Binge Drinking 13.2% 19.9%
Obesity 43.5% 40.2%
Disability Percentage 16.0% 22.0%

Health Statistics Comparison: Booneville vs Mc clure

  • More residents in Booneville report poor mental health at 19.8% compared to 16.4% in Mc clure.
  • Depression is more prevalent in Booneville at 25.5% compared to 22.4% in Mc clure.
  • Smoking is more prevalent in Booneville at 24.7% compared to 18.2% in Mc clure.
  • More residents engage in binge drinking in Mc clure at 19.9% compared to 13.2% in Booneville.
  • Obesity rates are higher in Booneville at 43.5% compared to 40.2% in Mc clure.
  • There is a higher percentage of disabled individuals in Mc clure at 22.0% compared to 16.0% in Booneville.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Booneville Mc clure
No Schooling 0.3% (27) 0.3% (2)
High School Diploma 13.3% (1,197) 28.6% (198)
Less than High School 14.4% (1,292) 17.7% (123)
Bachelor's Degree and Higher 16.5% (1,485) 5.5% (38)

Education Levels Comparison: Booneville vs Mc clure

  • The percentage of residents with no formal schooling is the same in both Booneville and Mc clure at 0.3%.
  • In Mc clure, the rate of residents with high school diplomas is higher at 28.6% compared to 13.3% in Booneville.
  • The percentage of residents with less than a high school education is higher in Mc clure at 17.7%, compared to 14.4% in Booneville.
  • A higher percentage of residents in Booneville hold a bachelor's degree or higher at 16.5% compared to 5.5% in Mc clure.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.