Demographics details for Columbia, MO vs South san francisco, CA

Population Overview

Compare main population characteristics in Columbia, MO vs South san francisco, CA.

Data Columbia South san francisco
Population 128,555 63,484
Median Age 28.8 years 42.3 years
Median Income $60,455 $127,062
Married Families 32.0% 44.0%
Poverty Level 19% 8%
Unemployment Rate 3.8 3.6

Population Comparison: Columbia vs South san francisco

  • In Columbia, the population is higher at 128,555, compared to 63,484 in South san francisco.
  • The median age in South san francisco is higher at 42.3 years, compared to 28.8 years in Columbia.
  • South san francisco has a higher median income of $127,062, compared to $60,455 in Columbia.
  • In South san francisco, the percentage of married families is higher at 44.0%, compared to 32.0% in Columbia.
  • Columbia has a higher poverty level at 19% compared to 8% in South san francisco.
  • The unemployment rate in Columbia is higher at 3.8%, compared to 3.6% in South san francisco.

Demographics

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

Demographic Columbia South san francisco
Black 11 2
White 73 11
Asian 6 45
Hispanic 4 30
Two or More Races 6 11
American Indian Data is updating 1

Demographics Comparison: Columbia vs South san francisco

  • A higher percentage of Black residents are in Columbia at 11% compared to 2% in South san francisco.
  • Columbia has a higher percentage of White residents at 73% compared to 11% in South san francisco.
  • In South san francisco, the Asian population stands at 45%, greater than 6% in Columbia.
  • South san francisco has a higher percentage of Hispanic residents at 30%, compared to 4% in Columbia.
  • The percentage of residents identifying as two or more races is higher in South san francisco at 11%, compared to 6% in Columbia.
  • In South san francisco, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbia.

Health Statistics

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

Health Metric Columbia South san francisco
Mental Health Not Good 16.7% 12.9%
Physical Health Not Good 11.4% 8.8%
Depression 25.3% 13.7%
Smoking 16.3% 9.3%
Binge Drinking 17.7% 14.5%
Obesity 33.5% 21.9%
Disability Percentage 11.0% 10.0%

Health Statistics Comparison: Columbia vs South san francisco

  • More residents in Columbia report poor mental health at 16.7% compared to 12.9% in South san francisco.
  • Depression is more prevalent in Columbia at 25.3% compared to 13.7% in South san francisco.
  • Smoking is more prevalent in Columbia at 16.3% compared to 9.3% in South san francisco.
  • Binge drinking is more common in Columbia at 17.7% compared to 14.5% in South san francisco.
  • Obesity rates are higher in Columbia at 33.5% compared to 21.9% in South san francisco.
  • Disability percentages are higher in Columbia at 11.0% 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 Columbia South san francisco
No Schooling 0.7% (845) 2.5% (1,583)
High School Diploma 7.8% (9,965) 13.7% (8,667)
Less than High School 4.2% (5,383) 14.8% (9,368)
Bachelor's Degree and Higher 30.5% (39,270) 30.4% (19,273)

Education Levels Comparison: Columbia vs South san francisco

  • In South san francisco, a larger percentage of residents lack formal schooling at 2.5% compared to 0.7% in Columbia.
  • In South san francisco, the rate of residents with high school diplomas is higher at 13.7% compared to 7.8% in Columbia.
  • The percentage of residents with less than a high school education is higher in South san francisco at 14.8%, compared to 4.2% in Columbia.
  • A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 30.4% in South san francisco.

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.