Demographics details for San bernardino, CA vs Columbus, MS

Population Overview

Compare main population characteristics in San bernardino, CA vs Columbus, MS.

Data San bernardino Columbus
Population 220,328 23,273
Median Age 31.2 years 38.5 years
Median Income $61,323 $38,954
Married Families 29.0% 25.0%
Poverty Level 23% 19%
Unemployment Rate 6.4 3.8

Population Comparison: San bernardino vs Columbus

  • In San bernardino, the population is higher at 220,328, compared to 23,273 in Columbus.
  • The median age in Columbus is higher at 38.5 years, compared to 31.2 years in San bernardino.
  • San bernardino has a higher median income of $61,323 compared to $38,954 in Columbus.
  • A higher percentage of married families is found in San bernardino at 29.0% compared to 25.0% in Columbus.
  • San bernardino has a higher poverty level at 23% compared to 19% in Columbus.
  • The unemployment rate in San bernardino is higher at 6.4%, compared to 3.8% in Columbus.

Demographics

Demographics San bernardino vs Columbus provide insight into the diversity of the communities to compare.

Demographic San bernardino Columbus
Black 12 66
White 2 28
Asian 4 2
Hispanic 68 2
Two or More Races 13 2
American Indian 1 Data is updating

Demographics Comparison: San bernardino vs Columbus

  • In Columbus, the percentage of Black residents is higher at 66% compared to 12% in San bernardino.
  • The percentage of White residents is higher in Columbus at 28% compared to 2% in San bernardino.
  • The Asian population is larger in San bernardino at 4% compared to 2% in Columbus.
  • The Hispanic community is larger in San bernardino at 68% compared to 2% in Columbus.
  • More residents identify as two or more races in San bernardino at 13% compared to 2% in Columbus.
  • A greater percentage of American Indian residents live in San bernardino at 1% compared to 0% in Columbus.

Health Statistics

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

Health Metric San bernardino Columbus
Mental Health Not Good 19.0% 17.4%
Physical Health Not Good 15.8% 13.6%
Depression 19.1% 20.0%
Smoking 17.2% 21.0%
Binge Drinking 13.9% 11.8%
Obesity 42.9% 44.8%
Disability Percentage 12.0% 12.0%

Health Statistics Comparison: San bernardino vs Columbus

  • More residents in San bernardino report poor mental health at 19.0% compared to 17.4% in Columbus.
  • Higher depression rates are seen in Columbus at 20.0% versus 19.1% in San bernardino.
  • Columbus has a higher smoking rate at 21.0% compared to 17.2% in San bernardino.
  • Binge drinking is more common in San bernardino at 13.9% compared to 11.8% in Columbus.
  • Columbus has higher obesity rates at 44.8% compared to 42.9% in San bernardino.
  • Disability percentages are the same in both San bernardino and Columbus at 12.0%.

Education Levels

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

Education Level San bernardino Columbus
No Schooling 2.5% (5,419) 1.1% (260)
High School Diploma 17.6% (38,770) 18.4% (4,272)
Less than High School 31.2% (68,813) 11.0% (2,559)
Bachelor's Degree and Higher 7.7% (17,071) 17.1% (3,971)

Education Levels Comparison: San bernardino vs Columbus

  • A higher percentage of residents in San bernardino have no formal schooling at 2.5% compared to 1.1% in Columbus.
  • In Columbus, the rate of residents with high school diplomas is higher at 18.4% compared to 17.6% in San bernardino.
  • More residents in San bernardino have less than a high school education at 31.2% compared to 11.0% in Columbus.
  • In Columbus, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 7.7% in San bernardino.

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.