Demographics details for North baltimore, OH vs Chino hills, CA

Population Overview

Compare main population characteristics in North baltimore, OH vs Chino hills, CA.

Data North baltimore Chino hills
Population 3,383 77,949
Median Age 37.4 years 39.4 years
Median Income $55,379 $117,548
Married Families 31.0% 47.0%
Poverty Level 8% 8%
Unemployment Rate 4.1 3.5

Population Comparison: North baltimore vs Chino hills

  • The population in Chino hills is higher at 77,949, compared to 3,383 in North baltimore.
  • The median age in Chino hills is higher at 39.4 years, compared to 37.4 years in North baltimore.
  • Chino hills has a higher median income of $117,548, compared to $55,379 in North baltimore.
  • In Chino hills, the percentage of married families is higher at 47.0%, compared to 31.0% in North baltimore.
  • The poverty level is identical in both North baltimore and Chino hills at 8%.
  • The unemployment rate in North baltimore is higher at 4.1%, compared to 3.5% in Chino hills.

Demographics

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

Demographic North baltimore Chino hills
Black 4 4
White 89 14
Asian Data is updating 40
Hispanic 5 29
Two or More Races 2 13
American Indian Data is updating Data is updating

Demographics Comparison: North baltimore vs Chino hills

  • The percentage of Black residents is the same in both North baltimore and Chino hills at 4%.
  • North baltimore has a higher percentage of White residents at 89% compared to 14% in Chino hills.
  • In Chino hills, the Asian population stands at 40%, greater than 0% in North baltimore.
  • Chino hills has a higher percentage of Hispanic residents at 29%, compared to 5% in North baltimore.
  • The percentage of residents identifying as two or more races is higher in Chino hills at 13%, compared to 2% in North baltimore.
  • The percentage of American Indian residents is the same in both North baltimore and Chino hills at 0%.

Health Statistics

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

Health Metric North baltimore Chino hills
Mental Health Not Good 18.7% 12.7%
Physical Health Not Good 12.5% 8.0%
Depression 26.1% 14.6%
Smoking 21.8% 7.9%
Binge Drinking 17.7% 15.3%
Obesity 42.6% 28.4%
Disability Percentage 18.0% 7.0%

Health Statistics Comparison: North baltimore vs Chino hills

  • More residents in North baltimore report poor mental health at 18.7% compared to 12.7% in Chino hills.
  • Depression is more prevalent in North baltimore at 26.1% compared to 14.6% in Chino hills.
  • Smoking is more prevalent in North baltimore at 21.8% compared to 7.9% in Chino hills.
  • Binge drinking is more common in North baltimore at 17.7% compared to 15.3% in Chino hills.
  • Obesity rates are higher in North baltimore at 42.6% compared to 28.4% in Chino hills.
  • Disability percentages are higher in North baltimore at 18.0% compared to 7.0% in Chino hills.

Education Levels

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

Education Level North baltimore Chino hills
No Schooling 1.9% (63) 1.1% (849)
High School Diploma 28.7% (971) 9.6% (7,450)
Less than High School 15.8% (533) 7.2% (5,599)
Bachelor's Degree and Higher 7.5% (254) 34.4% (26,814)

Education Levels Comparison: North baltimore vs Chino hills

  • A higher percentage of residents in North baltimore have no formal schooling at 1.9% compared to 1.1% in Chino hills.
  • A higher percentage of residents in North baltimore hold a high school diploma at 28.7% compared to 9.6% in Chino hills.
  • More residents in North baltimore have less than a high school education at 15.8% compared to 7.2% in Chino hills.
  • In Chino hills, a larger share of residents have a bachelor's degree or higher at 34.4% compared to 7.5% in North baltimore.

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.