Demographics details for Senecaville, OH vs Grand rapids, MI

Population Overview

Compare main population characteristics in Senecaville, OH vs Grand rapids, MI.

Data Senecaville Grand rapids
Population 415 196,908
Median Age 36.4 years 31.8 years
Median Income $48,036 $61,634
Married Families 43.0% 31.0%
Poverty Level 10% 14%
Unemployment Rate 4.5 5.3

Population Comparison: Senecaville vs Grand rapids

  • The population in Grand rapids is higher at 196,908, compared to 415 in Senecaville.
  • Residents in Senecaville have a higher median age of 36.4 years compared to 31.8 years in Grand rapids.
  • Grand rapids has a higher median income of $61,634, compared to $48,036 in Senecaville.
  • A higher percentage of married families is found in Senecaville at 43.0% compared to 31.0% in Grand rapids.
  • The poverty level is higher in Grand rapids at 14%, compared to 10% in Senecaville.
  • Grand rapids has a higher unemployment rate at 5.3% compared to 4.5% in Senecaville.

Demographics

Demographics Senecaville vs Grand rapids provide insight into the diversity of the communities to compare.

Demographic Senecaville Grand rapids
Black 3 18
White 89 51
Asian Data is updating 3
Hispanic 1 16
Two or More Races 7 11
American Indian Data is updating 1

Demographics Comparison: Senecaville vs Grand rapids

  • In Grand rapids, the percentage of Black residents is higher at 18% compared to 3% in Senecaville.
  • Senecaville has a higher percentage of White residents at 89% compared to 51% in Grand rapids.
  • In Grand rapids, the Asian population stands at 3%, greater than 0% in Senecaville.
  • Grand rapids has a higher percentage of Hispanic residents at 16%, compared to 1% in Senecaville.
  • The percentage of residents identifying as two or more races is higher in Grand rapids at 11%, compared to 7% in Senecaville.
  • In Grand rapids, the percentage of American Indian residents is higher at 1%, compared to 0% in Senecaville.

Health Statistics

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

Health Metric Senecaville Grand rapids
Mental Health Not Good 18.4% 17.6%
Physical Health Not Good 13.1% 11.5%
Depression 24.5% 25.3%
Smoking 22.6% 17.3%
Binge Drinking 18.7% 16.7%
Obesity 42.9% 34.9%
Disability Percentage 26.0% 12.0%

Health Statistics Comparison: Senecaville vs Grand rapids

  • More residents in Senecaville report poor mental health at 18.4% compared to 17.6% in Grand rapids.
  • Higher depression rates are seen in Grand rapids at 25.3% versus 24.5% in Senecaville.
  • Smoking is more prevalent in Senecaville at 22.6% compared to 17.3% in Grand rapids.
  • Binge drinking is more common in Senecaville at 18.7% compared to 16.7% in Grand rapids.
  • Obesity rates are higher in Senecaville at 42.9% compared to 34.9% in Grand rapids.
  • Disability percentages are higher in Senecaville at 26.0% compared to 12.0% in Grand rapids.

Education Levels

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

Education Level Senecaville Grand rapids
No Schooling 0.0% (Data is updating) 1.2% (2,304)
High School Diploma 31.3% (130) 12.4% (24,420)
Less than High School 19.3% (80) 12.2% (23,971)
Bachelor's Degree and Higher 5.3% (22) 25.6% (50,441)

Education Levels Comparison: Senecaville vs Grand rapids

  • In Grand rapids, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Senecaville.
  • A higher percentage of residents in Senecaville hold a high school diploma at 31.3% compared to 12.4% in Grand rapids.
  • More residents in Senecaville have less than a high school education at 19.3% compared to 12.2% in Grand rapids.
  • In Grand rapids, a larger share of residents have a bachelor's degree or higher at 25.6% compared to 5.3% in Senecaville.

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.