Demographics details for Cleveland, MS vs Siloam springs, AR

Population Overview

Compare main population characteristics in Cleveland, MS vs Siloam springs, AR.

Data Cleveland Siloam springs
Population 10,545 18,654
Median Age 33.8 years 30.1 years
Median Income $42,005 $59,911
Married Families 27.0% 38.0%
Poverty Level 24% 13%
Unemployment Rate 5.6 3.5

Population Comparison: Cleveland vs Siloam springs

  • The population in Siloam springs is higher at 18,654, compared to 10,545 in Cleveland.
  • Residents in Cleveland have a higher median age of 33.8 years compared to 30.1 years in Siloam springs.
  • Siloam springs has a higher median income of $59,911, compared to $42,005 in Cleveland.
  • In Siloam springs, the percentage of married families is higher at 38.0%, compared to 27.0% in Cleveland.
  • Cleveland has a higher poverty level at 24% compared to 13% in Siloam springs.
  • The unemployment rate in Cleveland is higher at 5.6%, compared to 3.5% in Siloam springs.

Demographics

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

Demographic Cleveland Siloam springs
Black 56 1
White 36 50
Asian 2 3
Hispanic 1 23
Two or More Races 5 20
American Indian Data is updating 3

Demographics Comparison: Cleveland vs Siloam springs

  • A higher percentage of Black residents are in Cleveland at 56% compared to 1% in Siloam springs.
  • The percentage of White residents is higher in Siloam springs at 50% compared to 36% in Cleveland.
  • In Siloam springs, the Asian population stands at 3%, greater than 2% in Cleveland.
  • Siloam springs has a higher percentage of Hispanic residents at 23%, compared to 1% in Cleveland.
  • The percentage of residents identifying as two or more races is higher in Siloam springs at 20%, compared to 5% in Cleveland.
  • In Siloam springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Cleveland.

Health Statistics

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

Health Metric Cleveland Siloam springs
Mental Health Not Good 17.6% 20.0%
Physical Health Not Good 13.8% 15.0%
Depression 20.4% 26.0%
Smoking 21.0% 21.6%
Binge Drinking 12.7% 14.9%
Obesity 41.4% 39.2%
Disability Percentage 20.0% 13.0%

Health Statistics Comparison: Cleveland vs Siloam springs

  • In Siloam springs, a higher percentage report poor mental health at 20.0% compared to 17.6% in Cleveland.
  • Higher depression rates are seen in Siloam springs at 26.0% versus 20.4% in Cleveland.
  • Siloam springs has a higher smoking rate at 21.6% compared to 21.0% in Cleveland.
  • More residents engage in binge drinking in Siloam springs at 14.9% compared to 12.7% in Cleveland.
  • Obesity rates are higher in Cleveland at 41.4% compared to 39.2% in Siloam springs.
  • Disability percentages are higher in Cleveland at 20.0% compared to 13.0% in Siloam springs.

Education Levels

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

Education Level Cleveland Siloam springs
No Schooling 0.9% (99) 3.7% (681)
High School Diploma 10.0% (1,059) 13.5% (2,510)
Less than High School 13.3% (1,404) 17.4% (3,249)
Bachelor's Degree and Higher 21.3% (2,242) 14.4% (2,680)

Education Levels Comparison: Cleveland vs Siloam springs

  • In Siloam springs, a larger percentage of residents lack formal schooling at 3.7% compared to 0.9% in Cleveland.
  • In Siloam springs, the rate of residents with high school diplomas is higher at 13.5% compared to 10.0% in Cleveland.
  • The percentage of residents with less than a high school education is higher in Siloam springs at 17.4%, compared to 13.3% in Cleveland.
  • A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 21.3% compared to 14.4% in Siloam 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.