Demographics details for Wellington, FL vs Spring glen, PA

Population Overview

Compare main population characteristics in Wellington, FL vs Spring glen, PA.

Data Wellington Spring glen
Population 61,438 500
Median Age 41.5 years 35.0 years
Median Income $105,848 $50,000
Married Families 45.0% 40.0%
Poverty Level 8% 10%
Unemployment Rate 3.3 5.0

Population Comparison: Wellington vs Spring glen

  • In Wellington, the population is higher at 61,438, compared to 500 in Spring glen.
  • Residents in Wellington have a higher median age of 41.5 years compared to 35.0 years in Spring glen.
  • Wellington has a higher median income of $105,848 compared to $50,000 in Spring glen.
  • A higher percentage of married families is found in Wellington at 45.0% compared to 40.0% in Spring glen.
  • The poverty level is higher in Spring glen at 10%, compared to 8% in Wellington.
  • Spring glen has a higher unemployment rate at 5.0% compared to 3.3% in Wellington.

Demographics

Demographics Wellington vs Spring glen provide insight into the diversity of the communities to compare.

Demographic Wellington Spring glen
Black 11 2
White 42 95
Asian 5 1
Hispanic 27 1
Two or More Races 15 1
American Indian Data is updating Data is updating

Demographics Comparison: Wellington vs Spring glen

  • A higher percentage of Black residents are in Wellington at 11% compared to 2% in Spring glen.
  • The percentage of White residents is higher in Spring glen at 95% compared to 42% in Wellington.
  • The Asian population is larger in Wellington at 5% compared to 1% in Spring glen.
  • The Hispanic community is larger in Wellington at 27% compared to 1% in Spring glen.
  • More residents identify as two or more races in Wellington at 15% compared to 1% in Spring glen.
  • The percentage of American Indian residents is the same in both Wellington and Spring glen at 0%.

Health Statistics

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

Health Metric Wellington Spring glen
Mental Health Not Good 14.1% Data is updating%
Physical Health Not Good 8.5% Data is updating%
Depression 17.2% Data is updating%
Smoking 13.9% Data is updating%
Binge Drinking 16.7% Data is updating%
Obesity 24.0% Data is updating%
Disability Percentage 9.0% Data is updating%

Health Statistics Comparison: Wellington vs Spring glen

  • More residents in Wellington report poor mental health at 14.1% compared to 0.0% in Spring glen.
  • Depression is more prevalent in Wellington at 17.2% compared to 0.0% in Spring glen.
  • Smoking is more prevalent in Wellington at 13.9% compared to 0.0% in Spring glen.
  • Binge drinking is more common in Wellington at 16.7% compared to 0.0% in Spring glen.
  • Obesity rates are higher in Wellington at 24.0% compared to 0.0% in Spring glen.
  • Disability percentages are higher in Wellington at 9.0% compared to 0.0% in Spring glen.

Education Levels

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

Education Level Wellington Spring glen
No Schooling 0.7% (431) 0.0% (Data is updating)
High School Diploma 10.3% (6,304) 0.0% (Data is updating)
Less than High School 6.9% (4,234) 0.0% (Data is updating)
Bachelor's Degree and Higher 32.5% (19,977) 0.0% (Data is updating)

Education Levels Comparison: Wellington vs Spring glen

  • A higher percentage of residents in Wellington have no formal schooling at 0.7% compared to 0.0% in Spring glen.
  • A higher percentage of residents in Wellington hold a high school diploma at 10.3% compared to 0.0% in Spring glen.
  • More residents in Wellington have less than a high school education at 6.9% compared to 0.0% in Spring glen.
  • A higher percentage of residents in Wellington hold a bachelor's degree or higher at 32.5% compared to 0.0% in Spring glen.

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.