Demographics details for San francisco, CA vs Charlotte, NC

Population Overview

Compare main population characteristics in San francisco, CA vs Charlotte, NC.

Data San francisco Charlotte
Population 808,437 897,720
Median Age 39.3 years 34.5 years
Median Income $136,689 $74,070
Married Families 38.0% 33.0%
Poverty Level 12% 12%
Unemployment Rate 3.6 4.0

Population Comparison: San francisco vs Charlotte

  • The population in Charlotte is higher at 897,720, compared to 808,437 in San francisco.
  • Residents in San francisco have a higher median age of 39.3 years compared to 34.5 years in Charlotte.
  • San francisco has a higher median income of $136,689 compared to $74,070 in Charlotte.
  • A higher percentage of married families is found in San francisco at 38.0% compared to 33.0% in Charlotte.
  • The poverty level is identical in both San francisco and Charlotte at 12%.
  • Charlotte has a higher unemployment rate at 4.0% compared to 3.6% in San francisco.

Demographics

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

Demographic San francisco Charlotte
Black 5 34
White 31 38
Asian 37 6
Hispanic 16 15
Two or More Races 10 7
American Indian 1 Data is updating

Demographics Comparison: San francisco vs Charlotte

  • In Charlotte, the percentage of Black residents is higher at 34% compared to 5% in San francisco.
  • The percentage of White residents is higher in Charlotte at 38% compared to 31% in San francisco.
  • The Asian population is larger in San francisco at 37% compared to 6% in Charlotte.
  • The Hispanic community is larger in San francisco at 16% compared to 15% in Charlotte.
  • More residents identify as two or more races in San francisco at 10% compared to 7% in Charlotte.
  • A greater percentage of American Indian residents live in San francisco at 1% compared to 0% in Charlotte.

Health Statistics

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

Health Metric San francisco Charlotte
Mental Health Not Good 13.4% 14.7%
Physical Health Not Good 8.4% 10.1%
Depression 15.7% 20.1%
Smoking 9.2% 13.9%
Binge Drinking 16.4% 17.5%
Obesity 19.1% 34.7%
Disability Percentage 11.0% 8.0%

Health Statistics Comparison: San francisco vs Charlotte

  • In Charlotte, a higher percentage report poor mental health at 14.7% compared to 13.4% in San francisco.
  • Higher depression rates are seen in Charlotte at 20.1% versus 15.7% in San francisco.
  • Charlotte has a higher smoking rate at 13.9% compared to 9.2% in San francisco.
  • More residents engage in binge drinking in Charlotte at 17.5% compared to 16.4% in San francisco.
  • Charlotte has higher obesity rates at 34.7% compared to 19.1% in San francisco.
  • Disability percentages are higher in San francisco at 11.0% compared to 8.0% in Charlotte.

Education Levels

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

Education Level San francisco Charlotte
No Schooling 3.0% (23,928) 1.2% (10,429)
High School Diploma 8.5% (68,418) 9.4% (84,002)
Less than High School 12.4% (99,947) 10.7% (95,990)
Bachelor's Degree and Higher 50.3% (406,774) 30.6% (274,311)

Education Levels Comparison: San francisco vs Charlotte

  • A higher percentage of residents in San francisco have no formal schooling at 3.0% compared to 1.2% in Charlotte.
  • In Charlotte, the rate of residents with high school diplomas is higher at 9.4% compared to 8.5% in San francisco.
  • More residents in San francisco have less than a high school education at 12.4% compared to 10.7% in Charlotte.
  • A higher percentage of residents in San francisco hold a bachelor's degree or higher at 50.3% compared to 30.6% in Charlotte.

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.