Demographics details for North olmsted, OH vs San francisco, CA

Population Overview

Compare main population characteristics in North olmsted, OH vs San francisco, CA.

Data North olmsted San francisco
Population 31,724 808,437
Median Age 44.0 years 39.3 years
Median Income $81,768 $136,689
Married Families 45.0% 38.0%
Poverty Level 5% 12%
Unemployment Rate 4.1 3.6

Population Comparison: North olmsted vs San francisco

  • The population in San francisco is higher at 808,437, compared to 31,724 in North olmsted.
  • Residents in North olmsted have a higher median age of 44.0 years compared to 39.3 years in San francisco.
  • San francisco has a higher median income of $136,689, compared to $81,768 in North olmsted.
  • A higher percentage of married families is found in North olmsted at 45.0% compared to 38.0% in San francisco.
  • The poverty level is higher in San francisco at 12%, compared to 5% in North olmsted.
  • The unemployment rate in North olmsted is higher at 4.1%, compared to 3.6% in San francisco.

Demographics

Demographics North olmsted vs San francisco provide insight into the diversity of the communities to compare.

Demographic North olmsted San francisco
Black 3 5
White 81 31
Asian 3 37
Hispanic 7 16
Two or More Races 6 10
American Indian Data is updating 1

Demographics Comparison: North olmsted vs San francisco

  • In San francisco, the percentage of Black residents is higher at 5% compared to 3% in North olmsted.
  • North olmsted has a higher percentage of White residents at 81% compared to 31% in San francisco.
  • In San francisco, the Asian population stands at 37%, greater than 3% in North olmsted.
  • San francisco has a higher percentage of Hispanic residents at 16%, compared to 7% in North olmsted.
  • The percentage of residents identifying as two or more races is higher in San francisco at 10%, compared to 6% in North olmsted.
  • In San francisco, the percentage of American Indian residents is higher at 1%, compared to 0% in North olmsted.

Health Statistics

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

Health Metric North olmsted San francisco
Mental Health Not Good 16.2% 13.4%
Physical Health Not Good 10.7% 8.4%
Depression 24.8% 15.7%
Smoking 17.3% 9.2%
Binge Drinking 19.9% 16.4%
Obesity 30.4% 19.1%
Disability Percentage 13.0% 11.0%

Health Statistics Comparison: North olmsted vs San francisco

  • More residents in North olmsted report poor mental health at 16.2% compared to 13.4% in San francisco.
  • Depression is more prevalent in North olmsted at 24.8% compared to 15.7% in San francisco.
  • Smoking is more prevalent in North olmsted at 17.3% compared to 9.2% in San francisco.
  • Binge drinking is more common in North olmsted at 19.9% compared to 16.4% in San francisco.
  • Obesity rates are higher in North olmsted at 30.4% compared to 19.1% in San francisco.
  • Disability percentages are higher in North olmsted at 13.0% compared to 11.0% in San francisco.

Education Levels

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

Education Level North olmsted San francisco
No Schooling 0.7% (227) 3.0% (23,928)
High School Diploma 18.3% (5,813) 8.5% (68,418)
Less than High School 7.6% (2,419) 12.4% (99,947)
Bachelor's Degree and Higher 23.2% (7,372) 50.3% (406,774)

Education Levels Comparison: North olmsted vs San francisco

  • In San francisco, a larger percentage of residents lack formal schooling at 3.0% compared to 0.7% in North olmsted.
  • A higher percentage of residents in North olmsted hold a high school diploma at 18.3% compared to 8.5% in San francisco.
  • The percentage of residents with less than a high school education is higher in San francisco at 12.4%, compared to 7.6% in North olmsted.
  • In San francisco, a larger share of residents have a bachelor's degree or higher at 50.3% compared to 23.2% in North olmsted.

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.