Demographics details for Pleasanton, CA vs Mechanicsburg, PA

Population Overview

Compare main population characteristics in Pleasanton, CA vs Mechanicsburg, PA.

Data Pleasanton Mechanicsburg
Population 76,689 9,634
Median Age 41.5 years 38.4 years
Median Income $181,639 $75,806
Married Families 53.0% 36.0%
Poverty Level 7% 5%
Unemployment Rate 4.3 4.5

Population Comparison: Pleasanton vs Mechanicsburg

  • In Pleasanton, the population is higher at 76,689, compared to 9,634 in Mechanicsburg.
  • Residents in Pleasanton have a higher median age of 41.5 years compared to 38.4 years in Mechanicsburg.
  • Pleasanton has a higher median income of $181,639 compared to $75,806 in Mechanicsburg.
  • A higher percentage of married families is found in Pleasanton at 53.0% compared to 36.0% in Mechanicsburg.
  • Pleasanton has a higher poverty level at 7% compared to 5% in Mechanicsburg.
  • Mechanicsburg has a higher unemployment rate at 4.5% compared to 4.3% in Pleasanton.

Demographics

Demographics Pleasanton vs Mechanicsburg provide insight into the diversity of the communities to compare.

Demographic Pleasanton Mechanicsburg
Black 2 2
White 37 84
Asian 42 1
Hispanic 12 6
Two or More Races 7 7
American Indian Data is updating Data is updating

Demographics Comparison: Pleasanton vs Mechanicsburg

  • The percentage of Black residents is the same in both Pleasanton and Mechanicsburg at 2%.
  • The percentage of White residents is higher in Mechanicsburg at 84% compared to 37% in Pleasanton.
  • The Asian population is larger in Pleasanton at 42% compared to 1% in Mechanicsburg.
  • The Hispanic community is larger in Pleasanton at 12% compared to 6% in Mechanicsburg.
  • Both Pleasanton and Mechanicsburg have the same percentage of residents identifying as two or more races at 7%.
  • The percentage of American Indian residents is the same in both Pleasanton and Mechanicsburg at 0%.

Health Statistics

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

Health Metric Pleasanton Mechanicsburg
Mental Health Not Good 13.1% 15.3%
Physical Health Not Good 7.3% 10.2%
Depression 17.6% 21.8%
Smoking 7.2% 15.7%
Binge Drinking 17.2% 17.8%
Obesity 22.9% 31.2%
Disability Percentage 8.0% 11.0%

Health Statistics Comparison: Pleasanton vs Mechanicsburg

  • In Mechanicsburg, a higher percentage report poor mental health at 15.3% compared to 13.1% in Pleasanton.
  • Higher depression rates are seen in Mechanicsburg at 21.8% versus 17.6% in Pleasanton.
  • Mechanicsburg has a higher smoking rate at 15.7% compared to 7.2% in Pleasanton.
  • More residents engage in binge drinking in Mechanicsburg at 17.8% compared to 17.2% in Pleasanton.
  • Mechanicsburg has higher obesity rates at 31.2% compared to 22.9% in Pleasanton.
  • There is a higher percentage of disabled individuals in Mechanicsburg at 11.0% compared to 8.0% in Pleasanton.

Education Levels

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

Education Level Pleasanton Mechanicsburg
No Schooling 0.5% (407) 0.1% (13)
High School Diploma 6.2% (4,722) 21.7% (2,086)
Less than High School 3.8% (2,941) 5.7% (550)
Bachelor's Degree and Higher 49.3% (37,825) 30.4% (2,931)

Education Levels Comparison: Pleasanton vs Mechanicsburg

  • A higher percentage of residents in Pleasanton have no formal schooling at 0.5% compared to 0.1% in Mechanicsburg.
  • In Mechanicsburg, the rate of residents with high school diplomas is higher at 21.7% compared to 6.2% in Pleasanton.
  • The percentage of residents with less than a high school education is higher in Mechanicsburg at 5.7%, compared to 3.8% in Pleasanton.
  • A higher percentage of residents in Pleasanton hold a bachelor's degree or higher at 49.3% compared to 30.4% in Mechanicsburg.

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.