Demographics details for Lashmeet, WV vs North olmsted, OH

Population Overview

Compare main population characteristics in Lashmeet, WV vs North olmsted, OH.

Data Lashmeet North olmsted
Population 704 31,724
Median Age 61.1 years 44.0 years
Median Income $43,701 $81,768
Married Families 38.0% 45.0%
Poverty Level Data is updating 5%
Unemployment Rate 4.0 4.1

Population Comparison: Lashmeet vs North olmsted

  • The population in North olmsted is higher at 31,724, compared to 704 in Lashmeet.
  • Residents in Lashmeet have a higher median age of 61.1 years compared to 44.0 years in North olmsted.
  • North olmsted has a higher median income of $81,768, compared to $43,701 in Lashmeet.
  • In North olmsted, the percentage of married families is higher at 45.0%, compared to 38.0% in Lashmeet.
  • The poverty level is higher in North olmsted at 5%, compared to 0% in Lashmeet.
  • North olmsted has a higher unemployment rate at 4.1% compared to 4.0% in Lashmeet.

Demographics

Demographics Lashmeet vs North olmsted provide insight into the diversity of the communities to compare.

Demographic Lashmeet North olmsted
Black Data is updating 3
White 100 81
Asian Data is updating 3
Hispanic Data is updating 7
Two or More Races Data is updating 6
American Indian Data is updating Data is updating

Demographics Comparison: Lashmeet vs North olmsted

  • In North olmsted, the percentage of Black residents is higher at 3% compared to 0% in Lashmeet.
  • Lashmeet has a higher percentage of White residents at 100% compared to 81% in North olmsted.
  • In North olmsted, the Asian population stands at 3%, greater than 0% in Lashmeet.
  • North olmsted has a higher percentage of Hispanic residents at 7%, compared to 0% in Lashmeet.
  • The percentage of residents identifying as two or more races is higher in North olmsted at 6%, compared to 0% in Lashmeet.
  • The percentage of American Indian residents is the same in both Lashmeet and North olmsted at 0%.

Health Statistics

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

Health Metric Lashmeet North olmsted
Mental Health Not Good 25.1% 16.2%
Physical Health Not Good 19.0% 10.7%
Depression 32.6% 24.8%
Smoking 27.7% 17.3%
Binge Drinking 12.2% 19.9%
Obesity 45.6% 30.4%
Disability Percentage 22.0% 13.0%

Health Statistics Comparison: Lashmeet vs North olmsted

  • More residents in Lashmeet report poor mental health at 25.1% compared to 16.2% in North olmsted.
  • Depression is more prevalent in Lashmeet at 32.6% compared to 24.8% in North olmsted.
  • Smoking is more prevalent in Lashmeet at 27.7% compared to 17.3% in North olmsted.
  • More residents engage in binge drinking in North olmsted at 19.9% compared to 12.2% in Lashmeet.
  • Obesity rates are higher in Lashmeet at 45.6% compared to 30.4% in North olmsted.
  • Disability percentages are higher in Lashmeet at 22.0% compared to 13.0% in North olmsted.

Education Levels

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

Education Level Lashmeet North olmsted
No Schooling 0.0% (Data is updating) 0.7% (227)
High School Diploma 25.3% (178) 18.3% (5,813)
Less than High School 47.2% (332) 7.6% (2,419)
Bachelor's Degree and Higher 5.8% (41) 23.2% (7,372)

Education Levels Comparison: Lashmeet vs North olmsted

  • In North olmsted, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Lashmeet.
  • A higher percentage of residents in Lashmeet hold a high school diploma at 25.3% compared to 18.3% in North olmsted.
  • More residents in Lashmeet have less than a high school education at 47.2% compared to 7.6% in North olmsted.
  • In North olmsted, a larger share of residents have a bachelor's degree or higher at 23.2% compared to 5.8% in Lashmeet.

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.