Demographics details for Sylvan beach, NY vs Pleasureville, KY

Population Overview

Compare main population characteristics in Sylvan beach, NY vs Pleasureville, KY.

Data Sylvan beach Pleasureville
Population 885 786
Median Age 50.1 years 27.5 years
Median Income $48,125 $47,436
Married Families 32.0% 57.0%
Poverty Level 10% 12%
Unemployment Rate 4.5 3.5

Population Comparison: Sylvan beach vs Pleasureville

  • In Sylvan beach, the population is higher at 885, compared to 786 in Pleasureville.
  • Residents in Sylvan beach have a higher median age of 50.1 years compared to 27.5 years in Pleasureville.
  • Sylvan beach has a higher median income of $48,125 compared to $47,436 in Pleasureville.
  • In Pleasureville, the percentage of married families is higher at 57.0%, compared to 32.0% in Sylvan beach.
  • The poverty level is higher in Pleasureville at 12%, compared to 10% in Sylvan beach.
  • The unemployment rate in Sylvan beach is higher at 4.5%, compared to 3.5% in Pleasureville.

Demographics

Demographics Sylvan beach vs Pleasureville provide insight into the diversity of the communities to compare.

Demographic Sylvan beach Pleasureville
Black Data is updating 5
White 94 86
Asian 1 Data is updating
Hispanic 1 3
Two or More Races 3 6
American Indian 1 Data is updating

Demographics Comparison: Sylvan beach vs Pleasureville

  • In Pleasureville, the percentage of Black residents is higher at 5% compared to 0% in Sylvan beach.
  • Sylvan beach has a higher percentage of White residents at 94% compared to 86% in Pleasureville.
  • The Asian population is larger in Sylvan beach at 1% compared to 0% in Pleasureville.
  • Pleasureville has a higher percentage of Hispanic residents at 3%, compared to 1% in Sylvan beach.
  • The percentage of residents identifying as two or more races is higher in Pleasureville at 6%, compared to 3% in Sylvan beach.
  • A greater percentage of American Indian residents live in Sylvan beach at 1% compared to 0% in Pleasureville.

Health Statistics

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

Health Metric Sylvan beach Pleasureville
Mental Health Not Good 17.8% 19.6%
Physical Health Not Good 11.8% 14.5%
Depression 26.8% 28.2%
Smoking 24.0% 23.5%
Binge Drinking 19.7% 15.3%
Obesity 36.2% 39.5%
Disability Percentage 20.0% 26.0%

Health Statistics Comparison: Sylvan beach vs Pleasureville

  • In Pleasureville, a higher percentage report poor mental health at 19.6% compared to 17.8% in Sylvan beach.
  • Higher depression rates are seen in Pleasureville at 28.2% versus 26.8% in Sylvan beach.
  • Smoking is more prevalent in Sylvan beach at 24.0% compared to 23.5% in Pleasureville.
  • Binge drinking is more common in Sylvan beach at 19.7% compared to 15.3% in Pleasureville.
  • Pleasureville has higher obesity rates at 39.5% compared to 36.2% in Sylvan beach.
  • There is a higher percentage of disabled individuals in Pleasureville at 26.0% compared to 20.0% in Sylvan beach.

Education Levels

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

Education Level Sylvan beach Pleasureville
No Schooling 0.0% (Data is updating) 0.8% (6)
High School Diploma 28.5% (252) 54.2% (426)
Less than High School 14.5% (128) 26.1% (205)
Bachelor's Degree and Higher 15.6% (138) 5.1% (40)

Education Levels Comparison: Sylvan beach vs Pleasureville

  • In Pleasureville, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Sylvan beach.
  • In Pleasureville, the rate of residents with high school diplomas is higher at 54.2% compared to 28.5% in Sylvan beach.
  • The percentage of residents with less than a high school education is higher in Pleasureville at 26.1%, compared to 14.5% in Sylvan beach.
  • A higher percentage of residents in Sylvan beach hold a bachelor's degree or higher at 15.6% compared to 5.1% in Pleasureville.

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.