Demographics details for Crystal springs, MS vs Keiser, AR

Population Overview

Compare main population characteristics in Crystal springs, MS vs Keiser, AR.

Data Crystal springs Keiser
Population 4,700 713
Median Age 45.3 years 41.6 years
Median Income $44,653 $50,136
Married Families 28.0% 35.0%
Poverty Level 12% 12%
Unemployment Rate 3.5 3.5

Population Comparison: Crystal springs vs Keiser

  • In Crystal springs, the population is higher at 4,700, compared to 713 in Keiser.
  • Residents in Crystal springs have a higher median age of 45.3 years compared to 41.6 years in Keiser.
  • Keiser has a higher median income of $50,136, compared to $44,653 in Crystal springs.
  • In Keiser, the percentage of married families is higher at 35.0%, compared to 28.0% in Crystal springs.
  • The poverty level is identical in both Crystal springs and Keiser at 12%.
  • The unemployment rate is the same in both Crystal springs and Keiser at 3.5%.

Demographics

Demographics Crystal springs vs Keiser provide insight into the diversity of the communities to compare.

Demographic Crystal springs Keiser
Black 66 4
White 24 83
Asian Data is updating Data is updating
Hispanic 6 1
Two or More Races 4 12
American Indian Data is updating Data is updating

Demographics Comparison: Crystal springs vs Keiser

  • A higher percentage of Black residents are in Crystal springs at 66% compared to 4% in Keiser.
  • The percentage of White residents is higher in Keiser at 83% compared to 24% in Crystal springs.
  • Both Crystal springs and Keiser have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Crystal springs at 6% compared to 1% in Keiser.
  • The percentage of residents identifying as two or more races is higher in Keiser at 12%, compared to 4% in Crystal springs.
  • The percentage of American Indian residents is the same in both Crystal springs and Keiser at 0%.

Health Statistics

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

Health Metric Crystal springs Keiser
Mental Health Not Good 18.5% 20.3%
Physical Health Not Good 14.9% 14.6%
Depression 21.5% 28.9%
Smoking 24.2% 24.9%
Binge Drinking 12.2% 15.2%
Obesity 45.8% 34.9%
Disability Percentage 18.0% 27.0%

Health Statistics Comparison: Crystal springs vs Keiser

  • In Keiser, a higher percentage report poor mental health at 20.3% compared to 18.5% in Crystal springs.
  • Higher depression rates are seen in Keiser at 28.9% versus 21.5% in Crystal springs.
  • Keiser has a higher smoking rate at 24.9% compared to 24.2% in Crystal springs.
  • More residents engage in binge drinking in Keiser at 15.2% compared to 12.2% in Crystal springs.
  • Obesity rates are higher in Crystal springs at 45.8% compared to 34.9% in Keiser.
  • There is a higher percentage of disabled individuals in Keiser at 27.0% compared to 18.0% in Crystal springs.

Education Levels

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

Education Level Crystal springs Keiser
No Schooling 2.0% (94) 6.2% (44)
High School Diploma 12.1% (568) 15.0% (107)
Less than High School 20.1% (945) 55.5% (396)
Bachelor's Degree and Higher 19.5% (915) 7.3% (52)

Education Levels Comparison: Crystal springs vs Keiser

  • In Keiser, a larger percentage of residents lack formal schooling at 6.2% compared to 2.0% in Crystal springs.
  • In Keiser, the rate of residents with high school diplomas is higher at 15.0% compared to 12.1% in Crystal springs.
  • The percentage of residents with less than a high school education is higher in Keiser at 55.5%, compared to 20.1% in Crystal springs.
  • A higher percentage of residents in Crystal springs hold a bachelor's degree or higher at 19.5% compared to 7.3% in Keiser.

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.