Demographics details for San dimas, CA vs Midlothian, VA

Population Overview

Compare main population characteristics in San dimas, CA vs Midlothian, VA.

Data San dimas Midlothian
Population 33,535 72,302
Median Age 42.7 years 40.6 years
Median Income $102,241 $101,998
Married Families 44.0% 45.0%
Poverty Level 9% 5%
Unemployment Rate 5.2 3.5

Population Comparison: San dimas vs Midlothian

  • The population in Midlothian is higher at 72,302, compared to 33,535 in San dimas.
  • Residents in San dimas have a higher median age of 42.7 years compared to 40.6 years in Midlothian.
  • San dimas has a higher median income of $102,241 compared to $101,998 in Midlothian.
  • In Midlothian, the percentage of married families is higher at 45.0%, compared to 44.0% in San dimas.
  • San dimas has a higher poverty level at 9% compared to 5% in Midlothian.
  • The unemployment rate in San dimas is higher at 5.2%, compared to 3.5% in Midlothian.

Demographics

Demographics San dimas vs Midlothian provide insight into the diversity of the communities to compare.

Demographic San dimas Midlothian
Black 3 16
White 25 69
Asian 16 4
Hispanic 37 7
Two or More Races 18 4
American Indian 1 Data is updating

Demographics Comparison: San dimas vs Midlothian

  • In Midlothian, the percentage of Black residents is higher at 16% compared to 3% in San dimas.
  • The percentage of White residents is higher in Midlothian at 69% compared to 25% in San dimas.
  • The Asian population is larger in San dimas at 16% compared to 4% in Midlothian.
  • The Hispanic community is larger in San dimas at 37% compared to 7% in Midlothian.
  • More residents identify as two or more races in San dimas at 18% compared to 4% in Midlothian.
  • A greater percentage of American Indian residents live in San dimas at 1% compared to 0% in Midlothian.

Health Statistics

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

Health Metric San dimas Midlothian
Mental Health Not Good 14.6% Data is updating%
Physical Health Not Good 9.5% Data is updating%
Depression 16.6% Data is updating%
Smoking 9.3% Data is updating%
Binge Drinking 16.7% Data is updating%
Obesity 26.3% Data is updating%
Disability Percentage 15.0% 10.0%

Health Statistics Comparison: San dimas vs Midlothian

  • More residents in San dimas report poor mental health at 14.6% compared to 0.0% in Midlothian.
  • Depression is more prevalent in San dimas at 16.6% compared to 0.0% in Midlothian.
  • Smoking is more prevalent in San dimas at 9.3% compared to 0.0% in Midlothian.
  • Binge drinking is more common in San dimas at 16.7% compared to 0.0% in Midlothian.
  • Obesity rates are higher in San dimas at 26.3% compared to 0.0% in Midlothian.
  • Disability percentages are higher in San dimas at 15.0% compared to 10.0% in Midlothian.

Education Levels

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

Education Level San dimas Midlothian
No Schooling 1.1% (362) 0.3% (227)
High School Diploma 13.8% (4,634) 8.3% (5,974)
Less than High School 8.5% (2,851) 4.8% (3,449)
Bachelor's Degree and Higher 28.3% (9,476) 40.5% (29,291)

Education Levels Comparison: San dimas vs Midlothian

  • A higher percentage of residents in San dimas have no formal schooling at 1.1% compared to 0.3% in Midlothian.
  • A higher percentage of residents in San dimas hold a high school diploma at 13.8% compared to 8.3% in Midlothian.
  • More residents in San dimas have less than a high school education at 8.5% compared to 4.8% in Midlothian.
  • In Midlothian, a larger share of residents have a bachelor's degree or higher at 40.5% compared to 28.3% in San dimas.

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.