Demographics details for San francisco, CA vs Ashtabula, OH

Population Overview

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

Data San francisco Ashtabula
Population 808,437 17,806
Median Age 39.3 years 40.2 years
Median Income $136,689 $39,053
Married Families 38.0% 29.0%
Poverty Level 12% 20%
Unemployment Rate 3.6 5.3

Population Comparison: San francisco vs Ashtabula

  • In San francisco, the population is higher at 808,437, compared to 17,806 in Ashtabula.
  • The median age in Ashtabula is higher at 40.2 years, compared to 39.3 years in San francisco.
  • San francisco has a higher median income of $136,689 compared to $39,053 in Ashtabula.
  • A higher percentage of married families is found in San francisco at 38.0% compared to 29.0% in Ashtabula.
  • The poverty level is higher in Ashtabula at 20%, compared to 12% in San francisco.
  • Ashtabula has a higher unemployment rate at 5.3% compared to 3.6% in San francisco.

Demographics

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

Demographic San francisco Ashtabula
Black 5 9
White 31 69
Asian 37 Data is updating
Hispanic 16 13
Two or More Races 10 9
American Indian 1 Data is updating

Demographics Comparison: San francisco vs Ashtabula

  • In Ashtabula, the percentage of Black residents is higher at 9% compared to 5% in San francisco.
  • The percentage of White residents is higher in Ashtabula at 69% compared to 31% in San francisco.
  • The Asian population is larger in San francisco at 37% compared to 0% in Ashtabula.
  • The Hispanic community is larger in San francisco at 16% compared to 13% in Ashtabula.
  • More residents identify as two or more races in San francisco at 10% compared to 9% in Ashtabula.
  • A greater percentage of American Indian residents live in San francisco at 1% compared to 0% in Ashtabula.

Health Statistics

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

Health Metric San francisco Ashtabula
Mental Health Not Good 13.4% 20.7%
Physical Health Not Good 8.4% 16.3%
Depression 15.7% 27.7%
Smoking 9.2% 30.0%
Binge Drinking 16.4% 16.4%
Obesity 19.1% 48.1%
Disability Percentage 11.0% 23.0%

Health Statistics Comparison: San francisco vs Ashtabula

  • In Ashtabula, a higher percentage report poor mental health at 20.7% compared to 13.4% in San francisco.
  • Higher depression rates are seen in Ashtabula at 27.7% versus 15.7% in San francisco.
  • Ashtabula has a higher smoking rate at 30.0% compared to 9.2% in San francisco.
  • Binge drinking rates are similar in both San francisco and Ashtabula at 16.4%.
  • Ashtabula has higher obesity rates at 48.1% compared to 19.1% in San francisco.
  • There is a higher percentage of disabled individuals in Ashtabula at 23.0% 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 San francisco Ashtabula
No Schooling 3.0% (23,928) 2.2% (389)
High School Diploma 8.5% (68,418) 26.3% (4,691)
Less than High School 12.4% (99,947) 25.4% (4,526)
Bachelor's Degree and Higher 50.3% (406,774) 8.2% (1,468)

Education Levels Comparison: San francisco vs Ashtabula

  • A higher percentage of residents in San francisco have no formal schooling at 3.0% compared to 2.2% in Ashtabula.
  • In Ashtabula, the rate of residents with high school diplomas is higher at 26.3% compared to 8.5% in San francisco.
  • The percentage of residents with less than a high school education is higher in Ashtabula at 25.4%, compared to 12.4% in San francisco.
  • A higher percentage of residents in San francisco hold a bachelor's degree or higher at 50.3% compared to 8.2% in Ashtabula.

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.