Demographics details for Chester, CT vs North baltimore, OH

Population Overview

Compare main population characteristics in Chester, CT vs North baltimore, OH.

Data Chester North baltimore
Population 3,994 3,383
Median Age 43.0 years 37.4 years
Median Income $102,500 $55,379
Married Families 64.0% 31.0%
Poverty Level 5% 8%
Unemployment Rate 2.1 4.1

Population Comparison: Chester vs North baltimore

  • In Chester, the population is higher at 3,994, compared to 3,383 in North baltimore.
  • Residents in Chester have a higher median age of 43.0 years compared to 37.4 years in North baltimore.
  • Chester has a higher median income of $102,500 compared to $55,379 in North baltimore.
  • A higher percentage of married families is found in Chester at 64.0% compared to 31.0% in North baltimore.
  • The poverty level is higher in North baltimore at 8%, compared to 5% in Chester.
  • North baltimore has a higher unemployment rate at 4.1% compared to 2.1% in Chester.

Demographics

Demographics Chester vs North baltimore provide insight into the diversity of the communities to compare.

Demographic Chester North baltimore
Black 1 4
White 87 89
Asian Data is updating Data is updating
Hispanic 5 5
Two or More Races 3 2
American Indian Data is updating Data is updating

Demographics Comparison: Chester vs North baltimore

  • In North baltimore, the percentage of Black residents is higher at 4% compared to 1% in Chester.
  • The percentage of White residents is higher in North baltimore at 89% compared to 87% in Chester.
  • Both Chester and North baltimore have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Chester and North baltimore at 5%.
  • More residents identify as two or more races in Chester at 3% compared to 2% in North baltimore.
  • The percentage of American Indian residents is the same in both Chester and North baltimore at 0%.

Health Statistics

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

Health Metric Chester North baltimore
Mental Health Not Good Data is updating% 18.7%
Physical Health Not Good Data is updating% 12.5%
Depression Data is updating% 26.1%
Smoking Data is updating% 21.8%
Binge Drinking Data is updating% 17.7%
Obesity Data is updating% 42.6%
Disability Percentage Data is updating% 18.0%

Health Statistics Comparison: Chester vs North baltimore

  • In North baltimore, a higher percentage report poor mental health at 18.7% compared to 0.0% in Chester.
  • Higher depression rates are seen in North baltimore at 26.1% versus 0.0% in Chester.
  • North baltimore has a higher smoking rate at 21.8% compared to 0.0% in Chester.
  • More residents engage in binge drinking in North baltimore at 17.7% compared to 0.0% in Chester.
  • North baltimore has higher obesity rates at 42.6% compared to 0.0% in Chester.
  • There is a higher percentage of disabled individuals in North baltimore at 18.0% 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 North baltimore
No Schooling 0.0% (Data is updating) 1.9% (63)
High School Diploma 0.0% (Data is updating) 28.7% (971)
Less than High School 0.0% (Data is updating) 15.8% (533)
Bachelor's Degree and Higher 0.0% (Data is updating) 7.5% (254)

Education Levels Comparison: Chester vs North baltimore

  • In North baltimore, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Chester.
  • In North baltimore, the rate of residents with high school diplomas is higher at 28.7% compared to 0.0% in Chester.
  • The percentage of residents with less than a high school education is higher in North baltimore at 15.8%, compared to 0.0% in Chester.
  • In North baltimore, a larger share of residents have a bachelor's degree or higher at 7.5% 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.