Demographics details for Winnsboro, SC vs San francisco, CA

Population Overview

Compare main population characteristics in Winnsboro, SC vs San francisco, CA.

Data Winnsboro San francisco
Population 3,162 808,437
Median Age 34.2 years 39.3 years
Median Income $31,194 $136,689
Married Families 23.0% 38.0%
Poverty Level 20% 12%
Unemployment Rate 3.5 3.6

Population Comparison: Winnsboro vs San francisco

  • The population in San francisco is higher at 808,437, compared to 3,162 in Winnsboro.
  • The median age in San francisco is higher at 39.3 years, compared to 34.2 years in Winnsboro.
  • San francisco has a higher median income of $136,689, compared to $31,194 in Winnsboro.
  • In San francisco, the percentage of married families is higher at 38.0%, compared to 23.0% in Winnsboro.
  • Winnsboro has a higher poverty level at 20% compared to 12% in San francisco.
  • San francisco has a higher unemployment rate at 3.6% compared to 3.5% in Winnsboro.

Demographics

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

Demographic Winnsboro San francisco
Black 70 5
White 29 31
Asian Data is updating 37
Hispanic 1 16
Two or More Races Data is updating 10
American Indian Data is updating 1

Demographics Comparison: Winnsboro vs San francisco

  • A higher percentage of Black residents are in Winnsboro at 70% compared to 5% in San francisco.
  • The percentage of White residents is higher in San francisco at 31% compared to 29% in Winnsboro.
  • In San francisco, the Asian population stands at 37%, greater than 0% in Winnsboro.
  • San francisco has a higher percentage of Hispanic residents at 16%, compared to 1% in Winnsboro.
  • The percentage of residents identifying as two or more races is higher in San francisco at 10%, compared to 0% in Winnsboro.
  • In San francisco, the percentage of American Indian residents is higher at 1%, compared to 0% in Winnsboro.

Health Statistics

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

Health Metric Winnsboro San francisco
Mental Health Not Good 21.5% 13.4%
Physical Health Not Good 16.5% 8.4%
Depression 21.5% 15.7%
Smoking 26.6% 9.2%
Binge Drinking 13.4% 16.4%
Obesity 46.7% 19.1%
Disability Percentage 20.0% 11.0%

Health Statistics Comparison: Winnsboro vs San francisco

  • More residents in Winnsboro report poor mental health at 21.5% compared to 13.4% in San francisco.
  • Depression is more prevalent in Winnsboro at 21.5% compared to 15.7% in San francisco.
  • Smoking is more prevalent in Winnsboro at 26.6% compared to 9.2% in San francisco.
  • More residents engage in binge drinking in San francisco at 16.4% compared to 13.4% in Winnsboro.
  • Obesity rates are higher in Winnsboro at 46.7% compared to 19.1% in San francisco.
  • Disability percentages are higher in Winnsboro at 20.0% 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 Winnsboro San francisco
No Schooling 0.4% (12) 3.0% (23,928)
High School Diploma 26.6% (840) 8.5% (68,418)
Less than High School 12.2% (385) 12.4% (99,947)
Bachelor's Degree and Higher 9.8% (311) 50.3% (406,774)

Education Levels Comparison: Winnsboro vs San francisco

  • In San francisco, a larger percentage of residents lack formal schooling at 3.0% compared to 0.4% in Winnsboro.
  • A higher percentage of residents in Winnsboro hold a high school diploma at 26.6% 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 12.2% in Winnsboro.
  • In San francisco, a larger share of residents have a bachelor's degree or higher at 50.3% compared to 9.8% in Winnsboro.

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.