Demographics details for New cambria, KS vs Roaring spring, PA

Population Overview

Compare main population characteristics in New cambria, KS vs Roaring spring, PA.

Data New cambria Roaring spring
Population 104 2,333
Median Age 30.7 years 36.1 years
Median Income $83,601 $63,194
Married Families 32.0% 43.0%
Poverty Level 9% 10%
Unemployment Rate 3.2 5.0

Population Comparison: New cambria vs Roaring spring

  • The population in Roaring spring is higher at 2,333, compared to 104 in New cambria.
  • The median age in Roaring spring is higher at 36.1 years, compared to 30.7 years in New cambria.
  • New cambria has a higher median income of $83,601 compared to $63,194 in Roaring spring.
  • In Roaring spring, the percentage of married families is higher at 43.0%, compared to 32.0% in New cambria.
  • The poverty level is higher in Roaring spring at 10%, compared to 9% in New cambria.
  • Roaring spring has a higher unemployment rate at 5.0% compared to 3.2% in New cambria.

Demographics

Demographics New cambria vs Roaring spring provide insight into the diversity of the communities to compare.

Demographic New cambria Roaring spring
Black Data is updating 1
White 96 91
Asian 2 Data is updating
Hispanic 1 3
Two or More Races 1 5
American Indian Data is updating Data is updating

Demographics Comparison: New cambria vs Roaring spring

  • In Roaring spring, the percentage of Black residents is higher at 1% compared to 0% in New cambria.
  • New cambria has a higher percentage of White residents at 96% compared to 91% in Roaring spring.
  • The Asian population is larger in New cambria at 2% compared to 0% in Roaring spring.
  • Roaring spring has a higher percentage of Hispanic residents at 3%, compared to 1% in New cambria.
  • The percentage of residents identifying as two or more races is higher in Roaring spring at 5%, compared to 1% in New cambria.
  • The percentage of American Indian residents is the same in both New cambria and Roaring spring at 0%.

Health Statistics

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

Health Metric New cambria Roaring spring
Mental Health Not Good 14.3% 18.2%
Physical Health Not Good 9.2% 12.2%
Depression 20.8% 25.5%
Smoking 16.5% 21.4%
Binge Drinking 20.0% 18.5%
Obesity 33.7% 34.7%
Disability Percentage 12.0% 14.0%

Health Statistics Comparison: New cambria vs Roaring spring

  • In Roaring spring, a higher percentage report poor mental health at 18.2% compared to 14.3% in New cambria.
  • Higher depression rates are seen in Roaring spring at 25.5% versus 20.8% in New cambria.
  • Roaring spring has a higher smoking rate at 21.4% compared to 16.5% in New cambria.
  • Binge drinking is more common in New cambria at 20.0% compared to 18.5% in Roaring spring.
  • Roaring spring has higher obesity rates at 34.7% compared to 33.7% in New cambria.
  • There is a higher percentage of disabled individuals in Roaring spring at 14.0% compared to 12.0% in New cambria.

Education Levels

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

Education Level New cambria Roaring spring
No Schooling 0.0% (Data is updating) 0.4% (9)
High School Diploma 18.3% (19) 25.9% (605)
Less than High School 3.8% (4) 7.2% (168)
Bachelor's Degree and Higher 8.7% (9) 13.5% (316)

Education Levels Comparison: New cambria vs Roaring spring

  • In Roaring spring, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in New cambria.
  • In Roaring spring, the rate of residents with high school diplomas is higher at 25.9% compared to 18.3% in New cambria.
  • The percentage of residents with less than a high school education is higher in Roaring spring at 7.2%, compared to 3.8% in New cambria.
  • In Roaring spring, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 8.7% in New cambria.

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.