Demographics details for Malad city, ID vs Mount orab, OH

Population Overview

Compare main population characteristics in Malad city, ID vs Mount orab, OH.

Data Malad city Mount orab
Population 2,273 4,337
Median Age 39.8 years 30.4 years
Median Income $68,594 $62,833
Married Families 47.0% 37.0%
Poverty Level Data is updating 10%
Unemployment Rate 3.6 4.5

Population Comparison: Malad city vs Mount orab

  • The population in Mount orab is higher at 4,337, compared to 2,273 in Malad city.
  • Residents in Malad city have a higher median age of 39.8 years compared to 30.4 years in Mount orab.
  • Malad city has a higher median income of $68,594 compared to $62,833 in Mount orab.
  • A higher percentage of married families is found in Malad city at 47.0% compared to 37.0% in Mount orab.
  • The poverty level is higher in Mount orab at 10%, compared to 0% in Malad city.
  • Mount orab has a higher unemployment rate at 4.5% compared to 3.6% in Malad city.

Demographics

Demographics Malad city vs Mount orab provide insight into the diversity of the communities to compare.

Demographic Malad city Mount orab
Black Data is updating 1
White 97 98
Asian Data is updating Data is updating
Hispanic 2 Data is updating
Two or More Races Data is updating 1
American Indian 1 Data is updating

Demographics Comparison: Malad city vs Mount orab

  • In Mount orab, the percentage of Black residents is higher at 1% compared to 0% in Malad city.
  • The percentage of White residents is higher in Mount orab at 98% compared to 97% in Malad city.
  • Both Malad city and Mount orab have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Malad city at 2% compared to 0% in Mount orab.
  • The percentage of residents identifying as two or more races is higher in Mount orab at 1%, compared to 0% in Malad city.
  • A greater percentage of American Indian residents live in Malad city at 1% compared to 0% in Mount orab.

Health Statistics

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

Health Metric Malad city Mount orab
Mental Health Not Good 16.3% 18.3%
Physical Health Not Good 11.4% 12.8%
Depression 22.9% 25.7%
Smoking 16.7% 22.9%
Binge Drinking 16.8% 18.6%
Obesity 32.0% 42.0%
Disability Percentage 15.0% 16.0%

Health Statistics Comparison: Malad city vs Mount orab

  • In Mount orab, a higher percentage report poor mental health at 18.3% compared to 16.3% in Malad city.
  • Higher depression rates are seen in Mount orab at 25.7% versus 22.9% in Malad city.
  • Mount orab has a higher smoking rate at 22.9% compared to 16.7% in Malad city.
  • More residents engage in binge drinking in Mount orab at 18.6% compared to 16.8% in Malad city.
  • Mount orab has higher obesity rates at 42.0% compared to 32.0% in Malad city.
  • There is a higher percentage of disabled individuals in Mount orab at 16.0% compared to 15.0% in Malad city.

Education Levels

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

Education Level Malad city Mount orab
No Schooling 0.4% (9) 0.8% (36)
High School Diploma 19.5% (443) 23.9% (1,037)
Less than High School 8.6% (196) 25.7% (1,116)
Bachelor's Degree and Higher 14.4% (327) 11.0% (479)

Education Levels Comparison: Malad city vs Mount orab

  • In Mount orab, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Malad city.
  • In Mount orab, the rate of residents with high school diplomas is higher at 23.9% compared to 19.5% in Malad city.
  • The percentage of residents with less than a high school education is higher in Mount orab at 25.7%, compared to 8.6% in Malad city.
  • A higher percentage of residents in Malad city hold a bachelor's degree or higher at 14.4% compared to 11.0% in Mount orab.

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.