Demographics details for Crystal springs, MS vs Camp hill, PA

Population Overview

Compare main population characteristics in Crystal springs, MS vs Camp hill, PA.

Data Crystal springs Camp hill
Population 4,700 8,204
Median Age 45.3 years 42.5 years
Median Income $44,653 $104,959
Married Families 28.0% 44.0%
Poverty Level 12% 5%
Unemployment Rate 3.5 4.0

Population Comparison: Crystal springs vs Camp hill

  • The population in Camp hill is higher at 8,204, compared to 4,700 in Crystal springs.
  • Residents in Crystal springs have a higher median age of 45.3 years compared to 42.5 years in Camp hill.
  • Camp hill has a higher median income of $104,959, compared to $44,653 in Crystal springs.
  • In Camp hill, the percentage of married families is higher at 44.0%, compared to 28.0% in Crystal springs.
  • Crystal springs has a higher poverty level at 12% compared to 5% in Camp hill.
  • Camp hill has a higher unemployment rate at 4.0% compared to 3.5% in Crystal springs.

Demographics

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

Demographic Crystal springs Camp hill
Black 66 2
White 24 82
Asian Data is updating 6
Hispanic 6 5
Two or More Races 4 5
American Indian Data is updating Data is updating

Demographics Comparison: Crystal springs vs Camp hill

  • A higher percentage of Black residents are in Crystal springs at 66% compared to 2% in Camp hill.
  • The percentage of White residents is higher in Camp hill at 82% compared to 24% in Crystal springs.
  • In Camp hill, the Asian population stands at 6%, greater than 0% in Crystal springs.
  • The Hispanic community is larger in Crystal springs at 6% compared to 5% in Camp hill.
  • The percentage of residents identifying as two or more races is higher in Camp hill at 5%, compared to 4% in Crystal springs.
  • The percentage of American Indian residents is the same in both Crystal springs and Camp hill at 0%.

Health Statistics

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

Health Metric Crystal springs Camp hill
Mental Health Not Good 18.5% 13.8%
Physical Health Not Good 14.9% 9.0%
Depression 21.5% 20.4%
Smoking 24.2% 12.8%
Binge Drinking 12.2% 17.3%
Obesity 45.8% 28.8%
Disability Percentage 18.0% 10.0%

Health Statistics Comparison: Crystal springs vs Camp hill

  • More residents in Crystal springs report poor mental health at 18.5% compared to 13.8% in Camp hill.
  • Depression is more prevalent in Crystal springs at 21.5% compared to 20.4% in Camp hill.
  • Smoking is more prevalent in Crystal springs at 24.2% compared to 12.8% in Camp hill.
  • More residents engage in binge drinking in Camp hill at 17.3% compared to 12.2% in Crystal springs.
  • Obesity rates are higher in Crystal springs at 45.8% compared to 28.8% in Camp hill.
  • Disability percentages are higher in Crystal springs at 18.0% compared to 10.0% in Camp hill.

Education Levels

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

Education Level Crystal springs Camp hill
No Schooling 2.0% (94) 0.6% (51)
High School Diploma 12.1% (568) 9.2% (756)
Less than High School 20.1% (945) 4.6% (381)
Bachelor's Degree and Higher 19.5% (915) 41.3% (3,388)

Education Levels Comparison: Crystal springs vs Camp hill

  • A higher percentage of residents in Crystal springs have no formal schooling at 2.0% compared to 0.6% in Camp hill.
  • A higher percentage of residents in Crystal springs hold a high school diploma at 12.1% compared to 9.2% in Camp hill.
  • More residents in Crystal springs have less than a high school education at 20.1% compared to 4.6% in Camp hill.
  • In Camp hill, a larger share of residents have a bachelor's degree or higher at 41.3% compared to 19.5% in Crystal 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.