Demographics details for Sylvania, OH vs Lathrup village, MI

Population Overview

Compare main population characteristics in Sylvania, OH vs Lathrup village, MI.

Data Sylvania Lathrup village
Population 19,051 4,025
Median Age 42.1 years 48.2 years
Median Income $86,048 $97,750
Married Families 46.0% 40.0%
Poverty Level 5% Data is updating
Unemployment Rate 3.5 3.7

Population Comparison: Sylvania vs Lathrup village

  • In Sylvania, the population is higher at 19,051, compared to 4,025 in Lathrup village.
  • The median age in Lathrup village is higher at 48.2 years, compared to 42.1 years in Sylvania.
  • Lathrup village has a higher median income of $97,750, compared to $86,048 in Sylvania.
  • A higher percentage of married families is found in Sylvania at 46.0% compared to 40.0% in Lathrup village.
  • Sylvania has a higher poverty level at 5% compared to 0% in Lathrup village.
  • Lathrup village has a higher unemployment rate at 3.7% compared to 3.5% in Sylvania.

Demographics

Demographics Sylvania vs Lathrup village provide insight into the diversity of the communities to compare.

Demographic Sylvania Lathrup village
Black 2 67
White 89 27
Asian 3 Data is updating
Hispanic 3 4
Two or More Races 3 2
American Indian Data is updating Data is updating

Demographics Comparison: Sylvania vs Lathrup village

  • In Lathrup village, the percentage of Black residents is higher at 67% compared to 2% in Sylvania.
  • Sylvania has a higher percentage of White residents at 89% compared to 27% in Lathrup village.
  • The Asian population is larger in Sylvania at 3% compared to 0% in Lathrup village.
  • Lathrup village has a higher percentage of Hispanic residents at 4%, compared to 3% in Sylvania.
  • More residents identify as two or more races in Sylvania at 3% compared to 2% in Lathrup village.
  • The percentage of American Indian residents is the same in both Sylvania and Lathrup village at 0%.

Health Statistics

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

Health Metric Sylvania Lathrup village
Mental Health Not Good 15.5% 14.5%
Physical Health Not Good 8.7% 9.0%
Depression 22.9% 17.5%
Smoking 13.5% 13.0%
Binge Drinking 18.1% 16.0%
Obesity 35.0% 36.0%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Sylvania vs Lathrup village

  • More residents in Sylvania report poor mental health at 15.5% compared to 14.5% in Lathrup village.
  • Depression is more prevalent in Sylvania at 22.9% compared to 17.5% in Lathrup village.
  • Smoking is more prevalent in Sylvania at 13.5% compared to 13.0% in Lathrup village.
  • Binge drinking is more common in Sylvania at 18.1% compared to 16.0% in Lathrup village.
  • Lathrup village has higher obesity rates at 36.0% compared to 35.0% in Sylvania.
  • There is a higher percentage of disabled individuals in Lathrup village at 11.0% compared to 10.0% in Sylvania.

Education Levels

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

Education Level Sylvania Lathrup village
No Schooling 0.0% (7) 0.0% (Data is updating)
High School Diploma 12.1% (2,300) 12.5% (502)
Less than High School 3.1% (587) 4.5% (183)
Bachelor's Degree and Higher 35.1% (6,680) 36.7% (1,479)

Education Levels Comparison: Sylvania vs Lathrup village

  • The percentage of residents with no formal schooling is the same in both Sylvania and Lathrup village at 0.0%.
  • In Lathrup village, the rate of residents with high school diplomas is higher at 12.5% compared to 12.1% in Sylvania.
  • The percentage of residents with less than a high school education is higher in Lathrup village at 4.5%, compared to 3.1% in Sylvania.
  • In Lathrup village, a larger share of residents have a bachelor's degree or higher at 36.7% compared to 35.1% in Sylvania.

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.