Demographics details for Diamond springs, CA vs Cleveland, MS

Population Overview

Compare main population characteristics in Diamond springs, CA vs Cleveland, MS.

Data Diamond springs Cleveland
Population 12,197 10,545
Median Age 43.7 years 33.8 years
Median Income $71,279 $42,005
Married Families 44.0% 27.0%
Poverty Level 11% 24%
Unemployment Rate 4.2 5.6

Population Comparison: Diamond springs vs Cleveland

  • In Diamond springs, the population is higher at 12,197, compared to 10,545 in Cleveland.
  • Residents in Diamond springs have a higher median age of 43.7 years compared to 33.8 years in Cleveland.
  • Diamond springs has a higher median income of $71,279 compared to $42,005 in Cleveland.
  • A higher percentage of married families is found in Diamond springs at 44.0% compared to 27.0% in Cleveland.
  • The poverty level is higher in Cleveland at 24%, compared to 11% in Diamond springs.
  • Cleveland has a higher unemployment rate at 5.6% compared to 4.2% in Diamond springs.

Demographics

Demographics Diamond springs vs Cleveland provide insight into the diversity of the communities to compare.

Demographic Diamond springs Cleveland
Black Data is updating 56
White 72 36
Asian 3 2
Hispanic 18 1
Two or More Races 6 5
American Indian 1 Data is updating

Demographics Comparison: Diamond springs vs Cleveland

  • In Cleveland, the percentage of Black residents is higher at 56% compared to 0% in Diamond springs.
  • Diamond springs has a higher percentage of White residents at 72% compared to 36% in Cleveland.
  • The Asian population is larger in Diamond springs at 3% compared to 2% in Cleveland.
  • The Hispanic community is larger in Diamond springs at 18% compared to 1% in Cleveland.
  • More residents identify as two or more races in Diamond springs at 6% compared to 5% in Cleveland.
  • A greater percentage of American Indian residents live in Diamond springs at 1% compared to 0% in Cleveland.

Health Statistics

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

Health Metric Diamond springs Cleveland
Mental Health Not Good 16.7% 17.6%
Physical Health Not Good 10.4% 13.8%
Depression 23.2% 20.4%
Smoking 12.7% 21.0%
Binge Drinking 19.0% 12.7%
Obesity 29.1% 41.4%
Disability Percentage 14.0% 20.0%

Health Statistics Comparison: Diamond springs vs Cleveland

  • In Cleveland, a higher percentage report poor mental health at 17.6% compared to 16.7% in Diamond springs.
  • Depression is more prevalent in Diamond springs at 23.2% compared to 20.4% in Cleveland.
  • Cleveland has a higher smoking rate at 21.0% compared to 12.7% in Diamond springs.
  • Binge drinking is more common in Diamond springs at 19.0% compared to 12.7% in Cleveland.
  • Cleveland has higher obesity rates at 41.4% compared to 29.1% in Diamond springs.
  • There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 14.0% in Diamond springs.

Education Levels

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

Education Level Diamond springs Cleveland
No Schooling 0.6% (73) 0.9% (99)
High School Diploma 17.2% (2,093) 10.0% (1,059)
Less than High School 5.8% (711) 13.3% (1,404)
Bachelor's Degree and Higher 18.6% (2,271) 21.3% (2,242)

Education Levels Comparison: Diamond springs vs Cleveland

  • In Cleveland, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Diamond springs.
  • A higher percentage of residents in Diamond springs hold a high school diploma at 17.2% compared to 10.0% in Cleveland.
  • The percentage of residents with less than a high school education is higher in Cleveland at 13.3%, compared to 5.8% in Diamond springs.
  • In Cleveland, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 18.6% in Diamond springs.

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.