Demographics details for Rich hill, MO vs South san francisco, CA

Population Overview

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

Data Rich hill South san francisco
Population 1,244 63,484
Median Age 41.5 years 42.3 years
Median Income $43,205 $127,062
Married Families 48.0% 44.0%
Poverty Level 12% 8%
Unemployment Rate 4.8 3.6

Population Comparison: Rich hill vs South san francisco

  • The population in South san francisco is higher at 63,484, compared to 1,244 in Rich hill.
  • The median age in South san francisco is higher at 42.3 years, compared to 41.5 years in Rich hill.
  • South san francisco has a higher median income of $127,062, compared to $43,205 in Rich hill.
  • A higher percentage of married families is found in Rich hill at 48.0% compared to 44.0% in South san francisco.
  • Rich hill has a higher poverty level at 12% compared to 8% in South san francisco.
  • The unemployment rate in Rich hill is higher at 4.8%, compared to 3.6% in South san francisco.

Demographics

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

Demographic Rich hill South san francisco
Black 1 2
White 91 11
Asian Data is updating 45
Hispanic 2 30
Two or More Races 5 11
American Indian 1 1

Demographics Comparison: Rich hill vs South san francisco

  • In South san francisco, the percentage of Black residents is higher at 2% compared to 1% in Rich hill.
  • Rich hill has a higher percentage of White residents at 91% compared to 11% in South san francisco.
  • In South san francisco, the Asian population stands at 45%, greater than 0% in Rich hill.
  • South san francisco has a higher percentage of Hispanic residents at 30%, compared to 2% in Rich hill.
  • The percentage of residents identifying as two or more races is higher in South san francisco at 11%, compared to 5% in Rich hill.
  • The percentage of American Indian residents is the same in both Rich hill and South san francisco at 1%.

Health Statistics

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

Health Metric Rich hill South san francisco
Mental Health Not Good 19.6% 12.9%
Physical Health Not Good 14.5% 8.8%
Depression 27.2% 13.7%
Smoking 25.1% 9.3%
Binge Drinking 16.8% 14.5%
Obesity 41.0% 21.9%
Disability Percentage 25.0% 10.0%

Health Statistics Comparison: Rich hill vs South san francisco

  • More residents in Rich hill report poor mental health at 19.6% compared to 12.9% in South san francisco.
  • Depression is more prevalent in Rich hill at 27.2% compared to 13.7% in South san francisco.
  • Smoking is more prevalent in Rich hill at 25.1% compared to 9.3% in South san francisco.
  • Binge drinking is more common in Rich hill at 16.8% compared to 14.5% in South san francisco.
  • Obesity rates are higher in Rich hill at 41.0% compared to 21.9% in South san francisco.
  • Disability percentages are higher in Rich hill at 25.0% 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 Rich hill South san francisco
No Schooling 1.4% (17) 2.5% (1,583)
High School Diploma 29.9% (372) 13.7% (8,667)
Less than High School 42.6% (530) 14.8% (9,368)
Bachelor's Degree and Higher 7.4% (92) 30.4% (19,273)

Education Levels Comparison: Rich hill vs South san francisco

  • In South san francisco, a larger percentage of residents lack formal schooling at 2.5% compared to 1.4% in Rich hill.
  • A higher percentage of residents in Rich hill hold a high school diploma at 29.9% compared to 13.7% in South san francisco.
  • More residents in Rich hill have less than a high school education at 42.6% compared to 14.8% in South san francisco.
  • In South san francisco, a larger share of residents have a bachelor's degree or higher at 30.4% compared to 7.4% in Rich hill.

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.