Demographics details for Mammoth lakes, CA vs Stevens, PA

Population Overview

Compare main population characteristics in Mammoth lakes, CA vs Stevens, PA.

Data Mammoth lakes Stevens
Population 7,093 612
Median Age 38.4 years 37.0 years
Median Income $80,795 $62,000
Married Families 43.0% 60.0%
Poverty Level 8% 10%
Unemployment Rate 4.3 4.5

Population Comparison: Mammoth lakes vs Stevens

  • In Mammoth lakes, the population is higher at 7,093, compared to 612 in Stevens.
  • Residents in Mammoth lakes have a higher median age of 38.4 years compared to 37.0 years in Stevens.
  • Mammoth lakes has a higher median income of $80,795 compared to $62,000 in Stevens.
  • In Stevens, the percentage of married families is higher at 60.0%, compared to 43.0% in Mammoth lakes.
  • The poverty level is higher in Stevens at 10%, compared to 8% in Mammoth lakes.
  • Stevens has a higher unemployment rate at 4.5% compared to 4.3% in Mammoth lakes.

Demographics

Demographics Mammoth lakes vs Stevens provide insight into the diversity of the communities to compare.

Demographic Mammoth lakes Stevens
Black Data is updating 5
White 62 90
Asian 6 2
Hispanic 28 3
Two or More Races 4 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Mammoth lakes vs Stevens

  • In Stevens, the percentage of Black residents is higher at 5% compared to 0% in Mammoth lakes.
  • The percentage of White residents is higher in Stevens at 90% compared to 62% in Mammoth lakes.
  • The Asian population is larger in Mammoth lakes at 6% compared to 2% in Stevens.
  • The Hispanic community is larger in Mammoth lakes at 28% compared to 3% in Stevens.
  • More residents identify as two or more races in Mammoth lakes at 4% compared to 0% in Stevens.
  • The percentage of American Indian residents is the same in both Mammoth lakes and Stevens at 0%.

Health Statistics

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

Health Metric Mammoth lakes Stevens
Mental Health Not Good 16.2% Data is updating%
Physical Health Not Good 11.1% Data is updating%
Depression 20.0% Data is updating%
Smoking 12.9% Data is updating%
Binge Drinking 18.4% Data is updating%
Obesity 30.2% Data is updating%
Disability Percentage 5.0% Data is updating%

Health Statistics Comparison: Mammoth lakes vs Stevens

  • More residents in Mammoth lakes report poor mental health at 16.2% compared to 0.0% in Stevens.
  • Depression is more prevalent in Mammoth lakes at 20.0% compared to 0.0% in Stevens.
  • Smoking is more prevalent in Mammoth lakes at 12.9% compared to 0.0% in Stevens.
  • Binge drinking is more common in Mammoth lakes at 18.4% compared to 0.0% in Stevens.
  • Obesity rates are higher in Mammoth lakes at 30.2% compared to 0.0% in Stevens.
  • Disability percentages are higher in Mammoth lakes at 5.0% compared to 0.0% in Stevens.

Education Levels

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

Education Level Mammoth lakes Stevens
No Schooling 1.4% (100) 0.0% (Data is updating)
High School Diploma 13.5% (959) 0.0% (Data is updating)
Less than High School 20.0% (1,416) 0.0% (Data is updating)
Bachelor's Degree and Higher 19.5% (1,383) 0.0% (Data is updating)

Education Levels Comparison: Mammoth lakes vs Stevens

  • A higher percentage of residents in Mammoth lakes have no formal schooling at 1.4% compared to 0.0% in Stevens.
  • A higher percentage of residents in Mammoth lakes hold a high school diploma at 13.5% compared to 0.0% in Stevens.
  • More residents in Mammoth lakes have less than a high school education at 20.0% compared to 0.0% in Stevens.
  • A higher percentage of residents in Mammoth lakes hold a bachelor's degree or higher at 19.5% compared to 0.0% in Stevens.

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.