Demographics details for Chester, MA vs Middle point, OH

Population Overview

Compare main population characteristics in Chester, MA vs Middle point, OH.

Data Chester Middle point
Population 1,337 565
Median Age 41.0 years 37.0 years
Median Income $78,889 $54,479
Married Families 64.0% 44.0%
Poverty Level 4% 8%
Unemployment Rate 3.3 4.5

Population Comparison: Chester vs Middle point

  • In Chester, the population is higher at 1,337, compared to 565 in Middle point.
  • Residents in Chester have a higher median age of 41.0 years compared to 37.0 years in Middle point.
  • Chester has a higher median income of $78,889 compared to $54,479 in Middle point.
  • A higher percentage of married families is found in Chester at 64.0% compared to 44.0% in Middle point.
  • The poverty level is higher in Middle point at 8%, compared to 4% in Chester.
  • Middle point has a higher unemployment rate at 4.5% compared to 3.3% in Chester.

Demographics

Demographics Chester vs Middle point provide insight into the diversity of the communities to compare.

Demographic Chester Middle point
Black Data is updating Data is updating
White 100 99
Asian Data is updating Data is updating
Hispanic Data is updating Data is updating
Two or More Races Data is updating 1
American Indian Data is updating Data is updating

Demographics Comparison: Chester vs Middle point

  • The percentage of Black residents is the same in both Chester and Middle point at 0%.
  • Chester has a higher percentage of White residents at 100% compared to 99% in Middle point.
  • Both Chester and Middle point have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Chester and Middle point at 0%.
  • The percentage of residents identifying as two or more races is higher in Middle point at 1%, compared to 0% in Chester.
  • The percentage of American Indian residents is the same in both Chester and Middle point at 0%.

Health Statistics

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

Health Metric Chester Middle point
Mental Health Not Good Data is updating% 16.7%
Physical Health Not Good Data is updating% 10.5%
Depression Data is updating% 23.4%
Smoking Data is updating% 18.5%
Binge Drinking Data is updating% 19.3%
Obesity Data is updating% 41.8%
Disability Percentage Data is updating% 12.0%

Health Statistics Comparison: Chester vs Middle point

  • In Middle point, a higher percentage report poor mental health at 16.7% compared to 0.0% in Chester.
  • Higher depression rates are seen in Middle point at 23.4% versus 0.0% in Chester.
  • Middle point has a higher smoking rate at 18.5% compared to 0.0% in Chester.
  • More residents engage in binge drinking in Middle point at 19.3% compared to 0.0% in Chester.
  • Middle point has higher obesity rates at 41.8% compared to 0.0% in Chester.
  • There is a higher percentage of disabled individuals in Middle point at 12.0% compared to 0.0% in Chester.

Education Levels

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

Education Level Chester Middle point
No Schooling 0.0% (Data is updating) 1.1% (6)
High School Diploma 0.0% (Data is updating) 34.2% (193)
Less than High School 0.0% (Data is updating) 13.1% (74)
Bachelor's Degree and Higher 0.0% (Data is updating) 9.4% (53)

Education Levels Comparison: Chester vs Middle point

  • In Middle point, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Chester.
  • In Middle point, the rate of residents with high school diplomas is higher at 34.2% compared to 0.0% in Chester.
  • The percentage of residents with less than a high school education is higher in Middle point at 13.1%, compared to 0.0% in Chester.
  • In Middle point, a larger share of residents have a bachelor's degree or higher at 9.4% compared to 0.0% in Chester.

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.