Demographics details for Mount cory, OH vs Central city, KY

Population Overview

Compare main population characteristics in Mount cory, OH vs Central city, KY.

Data Mount cory Central city
Population 221 5,810
Median Age 25.8 years 33.5 years
Median Income $74,773 $52,184
Married Families 42.0% 38.0%
Poverty Level 8% 16%
Unemployment Rate 3.5 3.5

Population Comparison: Mount cory vs Central city

  • The population in Central city is higher at 5,810, compared to 221 in Mount cory.
  • The median age in Central city is higher at 33.5 years, compared to 25.8 years in Mount cory.
  • Mount cory has a higher median income of $74,773 compared to $52,184 in Central city.
  • A higher percentage of married families is found in Mount cory at 42.0% compared to 38.0% in Central city.
  • The poverty level is higher in Central city at 16%, compared to 8% in Mount cory.
  • The unemployment rate is the same in both Mount cory and Central city at 3.5%.

Demographics

Demographics Mount cory vs Central city provide insight into the diversity of the communities to compare.

Demographic Mount cory Central city
Black Data is updating 3
White 97 88
Asian Data is updating Data is updating
Hispanic 1 2
Two or More Races 2 6
American Indian Data is updating 1

Demographics Comparison: Mount cory vs Central city

  • In Central city, the percentage of Black residents is higher at 3% compared to 0% in Mount cory.
  • Mount cory has a higher percentage of White residents at 97% compared to 88% in Central city.
  • Both Mount cory and Central city have the same percentage of Asian residents at 0%.
  • Central city has a higher percentage of Hispanic residents at 2%, compared to 1% in Mount cory.
  • The percentage of residents identifying as two or more races is higher in Central city at 6%, compared to 2% in Mount cory.
  • In Central city, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount cory.

Health Statistics

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

Health Metric Mount cory Central city
Mental Health Not Good 16.2% 19.3%
Physical Health Not Good 10.7% 15.5%
Depression 22.9% 26.8%
Smoking 19.2% 24.8%
Binge Drinking 18.5% 14.8%
Obesity 36.7% 41.9%
Disability Percentage 10.0% 15.0%

Health Statistics Comparison: Mount cory vs Central city

  • In Central city, a higher percentage report poor mental health at 19.3% compared to 16.2% in Mount cory.
  • Higher depression rates are seen in Central city at 26.8% versus 22.9% in Mount cory.
  • Central city has a higher smoking rate at 24.8% compared to 19.2% in Mount cory.
  • Binge drinking is more common in Mount cory at 18.5% compared to 14.8% in Central city.
  • Central city has higher obesity rates at 41.9% compared to 36.7% in Mount cory.
  • There is a higher percentage of disabled individuals in Central city at 15.0% compared to 10.0% in Mount cory.

Education Levels

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

Education Level Mount cory Central city
No Schooling 0.0% (Data is updating) 1.1% (65)
High School Diploma 53.4% (118) 15.4% (897)
Less than High School 6.3% (14) 15.6% (905)
Bachelor's Degree and Higher 6.8% (15) 8.3% (480)

Education Levels Comparison: Mount cory vs Central city

  • In Central city, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Mount cory.
  • A higher percentage of residents in Mount cory hold a high school diploma at 53.4% compared to 15.4% in Central city.
  • The percentage of residents with less than a high school education is higher in Central city at 15.6%, compared to 6.3% in Mount cory.
  • In Central city, a larger share of residents have a bachelor's degree or higher at 8.3% compared to 6.8% in Mount cory.

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.