Demographics details for Mount pleasant, SC vs Red bluff, CA

Population Overview

Compare main population characteristics in Mount pleasant, SC vs Red bluff, CA.

Data Mount pleasant Red bluff
Population 94,545 14,416
Median Age 42.4 years 35.2 years
Median Income $115,167 $47,367
Married Families 47.0% 27.0%
Poverty Level 5% 14%
Unemployment Rate 3.2 6.2

Population Comparison: Mount pleasant vs Red bluff

  • In Mount pleasant, the population is higher at 94,545, compared to 14,416 in Red bluff.
  • Residents in Mount pleasant have a higher median age of 42.4 years compared to 35.2 years in Red bluff.
  • Mount pleasant has a higher median income of $115,167 compared to $47,367 in Red bluff.
  • A higher percentage of married families is found in Mount pleasant at 47.0% compared to 27.0% in Red bluff.
  • The poverty level is higher in Red bluff at 14%, compared to 5% in Mount pleasant.
  • Red bluff has a higher unemployment rate at 6.2% compared to 3.2% in Mount pleasant.

Demographics

Demographics Mount pleasant vs Red bluff provide insight into the diversity of the communities to compare.

Demographic Mount pleasant Red bluff
Black 4 4
White 90 60
Asian 2 3
Hispanic 2 19
Two or More Races 2 12
American Indian Data is updating 2

Demographics Comparison: Mount pleasant vs Red bluff

  • The percentage of Black residents is the same in both Mount pleasant and Red bluff at 4%.
  • Mount pleasant has a higher percentage of White residents at 90% compared to 60% in Red bluff.
  • In Red bluff, the Asian population stands at 3%, greater than 2% in Mount pleasant.
  • Red bluff has a higher percentage of Hispanic residents at 19%, compared to 2% in Mount pleasant.
  • The percentage of residents identifying as two or more races is higher in Red bluff at 12%, compared to 2% in Mount pleasant.
  • In Red bluff, the percentage of American Indian residents is higher at 2%, compared to 0% in Mount pleasant.

Health Statistics

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

Health Metric Mount pleasant Red bluff
Mental Health Not Good 13.7% 20.4%
Physical Health Not Good 7.6% 14.9%
Depression 19.5% 24.2%
Smoking 9.8% 19.2%
Binge Drinking 25.5% 15.9%
Obesity 26.9% 36.3%
Disability Percentage 6.0% 19.0%

Health Statistics Comparison: Mount pleasant vs Red bluff

  • In Red bluff, a higher percentage report poor mental health at 20.4% compared to 13.7% in Mount pleasant.
  • Higher depression rates are seen in Red bluff at 24.2% versus 19.5% in Mount pleasant.
  • Red bluff has a higher smoking rate at 19.2% compared to 9.8% in Mount pleasant.
  • Binge drinking is more common in Mount pleasant at 25.5% compared to 15.9% in Red bluff.
  • Red bluff has higher obesity rates at 36.3% compared to 26.9% in Mount pleasant.
  • There is a higher percentage of disabled individuals in Red bluff at 19.0% compared to 6.0% in Mount pleasant.

Education Levels

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

Education Level Mount pleasant Red bluff
No Schooling 0.3% (259) 0.9% (124)
High School Diploma 5.8% (5,499) 16.8% (2,417)
Less than High School 2.7% (2,577) 12.2% (1,759)
Bachelor's Degree and Higher 46.2% (43,679) 6.6% (952)

Education Levels Comparison: Mount pleasant vs Red bluff

  • In Red bluff, a larger percentage of residents lack formal schooling at 0.9% compared to 0.3% in Mount pleasant.
  • In Red bluff, the rate of residents with high school diplomas is higher at 16.8% compared to 5.8% in Mount pleasant.
  • The percentage of residents with less than a high school education is higher in Red bluff at 12.2%, compared to 2.7% in Mount pleasant.
  • A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 6.6% in Red bluff.

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.