Demographics details for South san francisco, CA vs Mentor, MN

Population Overview

Compare main population characteristics in South san francisco, CA vs Mentor, MN.

Data South san francisco Mentor
Population 63,484 105
Median Age 42.3 years 52.5 years
Median Income $127,062 $39,583
Married Families 44.0% 54.0%
Poverty Level 8% Data is updating
Unemployment Rate 3.6 2.5

Population Comparison: South san francisco vs Mentor

  • In South san francisco, the population is higher at 63,484, compared to 105 in Mentor.
  • The median age in Mentor is higher at 52.5 years, compared to 42.3 years in South san francisco.
  • South san francisco has a higher median income of $127,062 compared to $39,583 in Mentor.
  • In Mentor, the percentage of married families is higher at 54.0%, compared to 44.0% in South san francisco.
  • South san francisco has a higher poverty level at 8% compared to 0% in Mentor.
  • The unemployment rate in South san francisco is higher at 3.6%, compared to 2.5% in Mentor.

Demographics

Demographics South san francisco vs Mentor provide insight into the diversity of the communities to compare.

Demographic South san francisco Mentor
Black 2 Data is updating
White 11 100
Asian 45 Data is updating
Hispanic 30 Data is updating
Two or More Races 11 Data is updating
American Indian 1 Data is updating

Demographics Comparison: South san francisco vs Mentor

  • A higher percentage of Black residents are in South san francisco at 2% compared to 0% in Mentor.
  • The percentage of White residents is higher in Mentor at 100% compared to 11% in South san francisco.
  • The Asian population is larger in South san francisco at 45% compared to 0% in Mentor.
  • The Hispanic community is larger in South san francisco at 30% compared to 0% in Mentor.
  • More residents identify as two or more races in South san francisco at 11% compared to 0% in Mentor.
  • A greater percentage of American Indian residents live in South san francisco at 1% compared to 0% in Mentor.

Health Statistics

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

Health Metric South san francisco Mentor
Mental Health Not Good 12.9% 15.5%
Physical Health Not Good 8.8% 9.9%
Depression 13.7% 24.4%
Smoking 9.3% 19.6%
Binge Drinking 14.5% 21.8%
Obesity 21.9% 39.7%
Disability Percentage 10.0% 19.0%

Health Statistics Comparison: South san francisco vs Mentor

  • In Mentor, a higher percentage report poor mental health at 15.5% compared to 12.9% in South san francisco.
  • Higher depression rates are seen in Mentor at 24.4% versus 13.7% in South san francisco.
  • Mentor has a higher smoking rate at 19.6% compared to 9.3% in South san francisco.
  • More residents engage in binge drinking in Mentor at 21.8% compared to 14.5% in South san francisco.
  • Mentor has higher obesity rates at 39.7% compared to 21.9% in South san francisco.
  • There is a higher percentage of disabled individuals in Mentor at 19.0% compared to 10.0% in South san francisco.

Education Levels

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

Education Level South san francisco Mentor
No Schooling 2.5% (1,583) 0.0% (Data is updating)
High School Diploma 13.7% (8,667) 43.8% (46)
Less than High School 14.8% (9,368) 30.5% (32)
Bachelor's Degree and Higher 30.4% (19,273) 6.7% (7)

Education Levels Comparison: South san francisco vs Mentor

  • A higher percentage of residents in South san francisco have no formal schooling at 2.5% compared to 0.0% in Mentor.
  • In Mentor, the rate of residents with high school diplomas is higher at 43.8% compared to 13.7% in South san francisco.
  • The percentage of residents with less than a high school education is higher in Mentor at 30.5%, compared to 14.8% in South san francisco.
  • A higher percentage of residents in South san francisco hold a bachelor's degree or higher at 30.4% compared to 6.7% in Mentor.

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.