Demographics details for Lake odessa, MI vs Science hill, KY

Population Overview

Compare main population characteristics in Lake odessa, MI vs Science hill, KY.

Data Lake odessa Science hill
Population 2,062 656
Median Age 36.0 years 33.1 years
Median Income $66,397 $36,250
Married Families 40.0% 37.0%
Poverty Level 10% 18%
Unemployment Rate 3.5 3.4

Population Comparison: Lake odessa vs Science hill

  • In Lake odessa, the population is higher at 2,062, compared to 656 in Science hill.
  • Residents in Lake odessa have a higher median age of 36.0 years compared to 33.1 years in Science hill.
  • Lake odessa has a higher median income of $66,397 compared to $36,250 in Science hill.
  • A higher percentage of married families is found in Lake odessa at 40.0% compared to 37.0% in Science hill.
  • The poverty level is higher in Science hill at 18%, compared to 10% in Lake odessa.
  • The unemployment rate in Lake odessa is higher at 3.5%, compared to 3.4% in Science hill.

Demographics

Demographics Lake odessa vs Science hill provide insight into the diversity of the communities to compare.

Demographic Lake odessa Science hill
Black 3 Data is updating
White 81 95
Asian 1 Data is updating
Hispanic 6 2
Two or More Races 9 3
American Indian Data is updating Data is updating

Demographics Comparison: Lake odessa vs Science hill

  • A higher percentage of Black residents are in Lake odessa at 3% compared to 0% in Science hill.
  • The percentage of White residents is higher in Science hill at 95% compared to 81% in Lake odessa.
  • The Asian population is larger in Lake odessa at 1% compared to 0% in Science hill.
  • The Hispanic community is larger in Lake odessa at 6% compared to 2% in Science hill.
  • More residents identify as two or more races in Lake odessa at 9% compared to 3% in Science hill.
  • The percentage of American Indian residents is the same in both Lake odessa and Science hill at 0%.

Health Statistics

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

Health Metric Lake odessa Science hill
Mental Health Not Good 17.5% 21.2%
Physical Health Not Good 11.1% 16.8%
Depression 24.5% 31.5%
Smoking 19.0% 26.0%
Binge Drinking 18.6% 14.1%
Obesity 35.7% 39.6%
Disability Percentage 15.0% 23.0%

Health Statistics Comparison: Lake odessa vs Science hill

  • In Science hill, a higher percentage report poor mental health at 21.2% compared to 17.5% in Lake odessa.
  • Higher depression rates are seen in Science hill at 31.5% versus 24.5% in Lake odessa.
  • Science hill has a higher smoking rate at 26.0% compared to 19.0% in Lake odessa.
  • Binge drinking is more common in Lake odessa at 18.6% compared to 14.1% in Science hill.
  • Science hill has higher obesity rates at 39.6% compared to 35.7% in Lake odessa.
  • There is a higher percentage of disabled individuals in Science hill at 23.0% compared to 15.0% in Lake odessa.

Education Levels

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

Education Level Lake odessa Science hill
No Schooling 0.2% (5) 0.5% (3)
High School Diploma 21.2% (438) 12.8% (84)
Less than High School 15.7% (324) 19.8% (130)
Bachelor's Degree and Higher 10.8% (222) 9.5% (62)

Education Levels Comparison: Lake odessa vs Science hill

  • In Science hill, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in Lake odessa.
  • A higher percentage of residents in Lake odessa hold a high school diploma at 21.2% compared to 12.8% in Science hill.
  • The percentage of residents with less than a high school education is higher in Science hill at 19.8%, compared to 15.7% in Lake odessa.
  • A higher percentage of residents in Lake odessa hold a bachelor's degree or higher at 10.8% compared to 9.5% in Science hill.

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.