Demographics details for White springs, FL vs South paris, ME

Population Overview

Compare main population characteristics in White springs, FL vs South paris, ME.

Data White springs South paris
Population 746 2,208
Median Age 33.5 years 39.5 years
Median Income $38,631 $42,321
Married Families 41.0% 30.0%
Poverty Level 16% 13%
Unemployment Rate 4.3 3.5

Population Comparison: White springs vs South paris

  • The population in South paris is higher at 2,208, compared to 746 in White springs.
  • The median age in South paris is higher at 39.5 years, compared to 33.5 years in White springs.
  • South paris has a higher median income of $42,321, compared to $38,631 in White springs.
  • A higher percentage of married families is found in White springs at 41.0% compared to 30.0% in South paris.
  • White springs has a higher poverty level at 16% compared to 13% in South paris.
  • The unemployment rate in White springs is higher at 4.3%, compared to 3.5% in South paris.

Demographics

Demographics White springs vs South paris provide insight into the diversity of the communities to compare.

Demographic White springs South paris
Black 66 Data is updating
White 33 97
Asian Data is updating Data is updating
Hispanic Data is updating 3
Two or More Races 1 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: White springs vs South paris

  • A higher percentage of Black residents are in White springs at 66% compared to 0% in South paris.
  • The percentage of White residents is higher in South paris at 97% compared to 33% in White springs.
  • Both White springs and South paris have the same percentage of Asian residents at 0%.
  • South paris has a higher percentage of Hispanic residents at 3%, compared to 0% in White springs.
  • More residents identify as two or more races in White springs at 1% compared to 0% in South paris.
  • The percentage of American Indian residents is the same in both White springs and South paris at 0%.

Health Statistics

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

Health Metric White springs South paris
Mental Health Not Good 18.1% 18.7%
Physical Health Not Good 13.4% 11.4%
Depression 19.4% 26.9%
Smoking 26.4% 20.1%
Binge Drinking 13.7% 18.1%
Obesity 37.4% 33.9%
Disability Percentage 24.0% 22.0%

Health Statistics Comparison: White springs vs South paris

  • In South paris, a higher percentage report poor mental health at 18.7% compared to 18.1% in White springs.
  • Higher depression rates are seen in South paris at 26.9% versus 19.4% in White springs.
  • Smoking is more prevalent in White springs at 26.4% compared to 20.1% in South paris.
  • More residents engage in binge drinking in South paris at 18.1% compared to 13.7% in White springs.
  • Obesity rates are higher in White springs at 37.4% compared to 33.9% in South paris.
  • Disability percentages are higher in White springs at 24.0% compared to 22.0% in South paris.

Education Levels

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

Education Level White springs South paris
No Schooling 1.3% (10) 0.2% (5)
High School Diploma 30.3% (226) 25.2% (557)
Less than High School 14.1% (105) 2.4% (54)
Bachelor's Degree and Higher 11.9% (89) 9.6% (213)

Education Levels Comparison: White springs vs South paris

  • A higher percentage of residents in White springs have no formal schooling at 1.3% compared to 0.2% in South paris.
  • A higher percentage of residents in White springs hold a high school diploma at 30.3% compared to 25.2% in South paris.
  • More residents in White springs have less than a high school education at 14.1% compared to 2.4% in South paris.
  • A higher percentage of residents in White springs hold a bachelor's degree or higher at 11.9% compared to 9.6% in South paris.

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.