Demographics details for Wheeling, WV vs Lost hills, CA

Population Overview

Compare main population characteristics in Wheeling, WV vs Lost hills, CA.

Data Wheeling Lost hills
Population 26,391 1,754
Median Age 45.0 years 23.8 years
Median Income $46,516 $41,250
Married Families 34.0% 32.0%
Poverty Level 18% 22%
Unemployment Rate 4.1 5.2

Population Comparison: Wheeling vs Lost hills

  • In Wheeling, the population is higher at 26,391, compared to 1,754 in Lost hills.
  • Residents in Wheeling have a higher median age of 45.0 years compared to 23.8 years in Lost hills.
  • Wheeling has a higher median income of $46,516 compared to $41,250 in Lost hills.
  • A higher percentage of married families is found in Wheeling at 34.0% compared to 32.0% in Lost hills.
  • The poverty level is higher in Lost hills at 22%, compared to 18% in Wheeling.
  • Lost hills has a higher unemployment rate at 5.2% compared to 4.1% in Wheeling.

Demographics

Demographics Wheeling vs Lost hills provide insight into the diversity of the communities to compare.

Demographic Wheeling Lost hills
Black 4 Data is updating
White 90 -35
Asian 1 1
Hispanic 1 97
Two or More Races 4 37
American Indian Data is updating Data is updating

Demographics Comparison: Wheeling vs Lost hills

  • A higher percentage of Black residents are in Wheeling at 4% compared to 0% in Lost hills.
  • Wheeling has a higher percentage of White residents at 90% compared to -35% in Lost hills.
  • Both Wheeling and Lost hills have the same percentage of Asian residents at 1%.
  • Lost hills has a higher percentage of Hispanic residents at 97%, compared to 1% in Wheeling.
  • The percentage of residents identifying as two or more races is higher in Lost hills at 37%, compared to 4% in Wheeling.
  • The percentage of American Indian residents is the same in both Wheeling and Lost hills at 0%.

Health Statistics

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

Health Metric Wheeling Lost hills
Mental Health Not Good 19.5% 19.6%
Physical Health Not Good 13.3% 19.8%
Depression 28.7% 18.9%
Smoking 21.0% 20.9%
Binge Drinking 14.4% 13.6%
Obesity 40.4% 43.3%
Disability Percentage 17.0% 4.0%

Health Statistics Comparison: Wheeling vs Lost hills

  • In Lost hills, a higher percentage report poor mental health at 19.6% compared to 19.5% in Wheeling.
  • Depression is more prevalent in Wheeling at 28.7% compared to 18.9% in Lost hills.
  • Smoking is more prevalent in Wheeling at 21.0% compared to 20.9% in Lost hills.
  • Binge drinking is more common in Wheeling at 14.4% compared to 13.6% in Lost hills.
  • Lost hills has higher obesity rates at 43.3% compared to 40.4% in Wheeling.
  • Disability percentages are higher in Wheeling at 17.0% compared to 4.0% in Lost hills.

Education Levels

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

Education Level Wheeling Lost hills
No Schooling 0.5% (130) 3.7% (65)
High School Diploma 22.3% (5,888) 10.0% (175)
Less than High School 10.1% (2,653) 64.7% (1,134)
Bachelor's Degree and Higher 23.5% (6,209) 0.9% (16)

Education Levels Comparison: Wheeling vs Lost hills

  • In Lost hills, a larger percentage of residents lack formal schooling at 3.7% compared to 0.5% in Wheeling.
  • A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 10.0% in Lost hills.
  • The percentage of residents with less than a high school education is higher in Lost hills at 64.7%, compared to 10.1% in Wheeling.
  • A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 0.9% in Lost hills.

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.