Demographics details for Curwensville, PA vs Milton, TN

Population Overview

Compare main population characteristics in Curwensville, PA vs Milton, TN.

Data Curwensville Milton
Population 2,532 161
Median Age 38.9 years 37.0 years
Median Income $46,726 $50,000
Married Families 33.0% 57.0%
Poverty Level 12% 5%
Unemployment Rate 4.2 4.2

Population Comparison: Curwensville vs Milton

  • In Curwensville, the population is higher at 2,532, compared to 161 in Milton.
  • Residents in Curwensville have a higher median age of 38.9 years compared to 37.0 years in Milton.
  • Milton has a higher median income of $50,000, compared to $46,726 in Curwensville.
  • In Milton, the percentage of married families is higher at 57.0%, compared to 33.0% in Curwensville.
  • Curwensville has a higher poverty level at 12% compared to 5% in Milton.
  • The unemployment rate is the same in both Curwensville and Milton at 4.2%.

Demographics

Demographics Curwensville vs Milton provide insight into the diversity of the communities to compare.

Demographic Curwensville Milton
Black 1 5
White 95 85
Asian Data is updating 2
Hispanic 1 5
Two or More Races 3 3
American Indian Data is updating Data is updating

Demographics Comparison: Curwensville vs Milton

  • In Milton, the percentage of Black residents is higher at 5% compared to 1% in Curwensville.
  • Curwensville has a higher percentage of White residents at 95% compared to 85% in Milton.
  • In Milton, the Asian population stands at 2%, greater than 0% in Curwensville.
  • Milton has a higher percentage of Hispanic residents at 5%, compared to 1% in Curwensville.
  • Both Curwensville and Milton have the same percentage of residents identifying as two or more races at 3%.
  • The percentage of American Indian residents is the same in both Curwensville and Milton at 0%.

Health Statistics

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

Health Metric Curwensville Milton
Mental Health Not Good 18.4% Data is updating%
Physical Health Not Good 12.5% Data is updating%
Depression 23.9% Data is updating%
Smoking 21.6% Data is updating%
Binge Drinking 18.4% Data is updating%
Obesity 37.1% Data is updating%
Disability Percentage 18.0% Data is updating%

Health Statistics Comparison: Curwensville vs Milton

  • More residents in Curwensville report poor mental health at 18.4% compared to 0.0% in Milton.
  • Depression is more prevalent in Curwensville at 23.9% compared to 0.0% in Milton.
  • Smoking is more prevalent in Curwensville at 21.6% compared to 0.0% in Milton.
  • Binge drinking is more common in Curwensville at 18.4% compared to 0.0% in Milton.
  • Obesity rates are higher in Curwensville at 37.1% compared to 0.0% in Milton.
  • Disability percentages are higher in Curwensville at 18.0% compared to 0.0% in Milton.

Education Levels

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

Education Level Curwensville Milton
No Schooling 0.5% (12) 0.0% (Data is updating)
High School Diploma 28.4% (720) 0.0% (Data is updating)
Less than High School 10.5% (266) 0.0% (Data is updating)
Bachelor's Degree and Higher 17.8% (451) 0.0% (Data is updating)

Education Levels Comparison: Curwensville vs Milton

  • A higher percentage of residents in Curwensville have no formal schooling at 0.5% compared to 0.0% in Milton.
  • A higher percentage of residents in Curwensville hold a high school diploma at 28.4% compared to 0.0% in Milton.
  • More residents in Curwensville have less than a high school education at 10.5% compared to 0.0% in Milton.
  • A higher percentage of residents in Curwensville hold a bachelor's degree or higher at 17.8% compared to 0.0% in Milton.

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.