Demographics details for San leandro, CA vs Fountain run, KY

Population Overview

Compare main population characteristics in San leandro, CA vs Fountain run, KY.

Data San leandro Fountain run
Population 86,762 221
Median Age 41.5 years 49.1 years
Median Income $97,141 $38,750
Married Families 40.0% 62.0%
Poverty Level 12% 12%
Unemployment Rate 4.8 3.2

Population Comparison: San leandro vs Fountain run

  • In San leandro, the population is higher at 86,762, compared to 221 in Fountain run.
  • The median age in Fountain run is higher at 49.1 years, compared to 41.5 years in San leandro.
  • San leandro has a higher median income of $97,141 compared to $38,750 in Fountain run.
  • In Fountain run, the percentage of married families is higher at 62.0%, compared to 40.0% in San leandro.
  • The poverty level is identical in both San leandro and Fountain run at 12%.
  • The unemployment rate in San leandro is higher at 4.8%, compared to 3.2% in Fountain run.

Demographics

Demographics San leandro vs Fountain run provide insight into the diversity of the communities to compare.

Demographic San leandro Fountain run
Black 11 1
White 12 99
Asian 36 Data is updating
Hispanic 29 Data is updating
Two or More Races 11 Data is updating
American Indian 1 Data is updating

Demographics Comparison: San leandro vs Fountain run

  • A higher percentage of Black residents are in San leandro at 11% compared to 1% in Fountain run.
  • The percentage of White residents is higher in Fountain run at 99% compared to 12% in San leandro.
  • The Asian population is larger in San leandro at 36% compared to 0% in Fountain run.
  • The Hispanic community is larger in San leandro at 29% compared to 0% in Fountain run.
  • More residents identify as two or more races in San leandro at 11% compared to 0% in Fountain run.
  • A greater percentage of American Indian residents live in San leandro at 1% compared to 0% in Fountain run.

Health Statistics

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

Health Metric San leandro Fountain run
Mental Health Not Good 15.1% 22.1%
Physical Health Not Good 9.9% 17.4%
Depression 16.8% 30.6%
Smoking 11.1% 29.1%
Binge Drinking 14.6% 14.2%
Obesity 26.7% 41.1%
Disability Percentage 11.0% 24.0%

Health Statistics Comparison: San leandro vs Fountain run

  • In Fountain run, a higher percentage report poor mental health at 22.1% compared to 15.1% in San leandro.
  • Higher depression rates are seen in Fountain run at 30.6% versus 16.8% in San leandro.
  • Fountain run has a higher smoking rate at 29.1% compared to 11.1% in San leandro.
  • Binge drinking is more common in San leandro at 14.6% compared to 14.2% in Fountain run.
  • Fountain run has higher obesity rates at 41.1% compared to 26.7% in San leandro.
  • There is a higher percentage of disabled individuals in Fountain run at 24.0% compared to 11.0% in San leandro.

Education Levels

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

Education Level San leandro Fountain run
No Schooling 3.5% (2,999) 1.8% (4)
High School Diploma 16.2% (14,031) 42.1% (93)
Less than High School 17.8% (15,482) 48.9% (108)
Bachelor's Degree and Higher 25.2% (21,903) 10.9% (24)

Education Levels Comparison: San leandro vs Fountain run

  • A higher percentage of residents in San leandro have no formal schooling at 3.5% compared to 1.8% in Fountain run.
  • In Fountain run, the rate of residents with high school diplomas is higher at 42.1% compared to 16.2% in San leandro.
  • The percentage of residents with less than a high school education is higher in Fountain run at 48.9%, compared to 17.8% in San leandro.
  • A higher percentage of residents in San leandro hold a bachelor's degree or higher at 25.2% compared to 10.9% in Fountain run.

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.