Demographics details for Ormond beach, FL vs Pond eddy, NY

Population Overview

Compare main population characteristics in Ormond beach, FL vs Pond eddy, NY.

Data Ormond beach Pond eddy
Population 44,052 389
Median Age 51.9 years 45.0 years
Median Income $65,238 $55,000
Married Families 42.0% 65.0%
Poverty Level 9% 10%
Unemployment Rate 3.5 4.0

Population Comparison: Ormond beach vs Pond eddy

  • In Ormond beach, the population is higher at 44,052, compared to 389 in Pond eddy.
  • Residents in Ormond beach have a higher median age of 51.9 years compared to 45.0 years in Pond eddy.
  • Ormond beach has a higher median income of $65,238 compared to $55,000 in Pond eddy.
  • In Pond eddy, the percentage of married families is higher at 65.0%, compared to 42.0% in Ormond beach.
  • The poverty level is higher in Pond eddy at 10%, compared to 9% in Ormond beach.
  • Pond eddy has a higher unemployment rate at 4.0% compared to 3.5% in Ormond beach.

Demographics

Demographics Ormond beach vs Pond eddy provide insight into the diversity of the communities to compare.

Demographic Ormond beach Pond eddy
Black 6 2
White 80 95
Asian 3 1
Hispanic 7 2
Two or More Races 4 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Ormond beach vs Pond eddy

  • A higher percentage of Black residents are in Ormond beach at 6% compared to 2% in Pond eddy.
  • The percentage of White residents is higher in Pond eddy at 95% compared to 80% in Ormond beach.
  • The Asian population is larger in Ormond beach at 3% compared to 1% in Pond eddy.
  • The Hispanic community is larger in Ormond beach at 7% compared to 2% in Pond eddy.
  • More residents identify as two or more races in Ormond beach at 4% compared to 0% in Pond eddy.
  • The percentage of American Indian residents is the same in both Ormond beach and Pond eddy at 0%.

Health Statistics

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

Health Metric Ormond beach Pond eddy
Mental Health Not Good 16.1% Data is updating%
Physical Health Not Good 10.1% Data is updating%
Depression 21.1% Data is updating%
Smoking 19.2% Data is updating%
Binge Drinking 18.8% Data is updating%
Obesity 30.8% Data is updating%
Disability Percentage 15.0% Data is updating%

Health Statistics Comparison: Ormond beach vs Pond eddy

  • More residents in Ormond beach report poor mental health at 16.1% compared to 0.0% in Pond eddy.
  • Depression is more prevalent in Ormond beach at 21.1% compared to 0.0% in Pond eddy.
  • Smoking is more prevalent in Ormond beach at 19.2% compared to 0.0% in Pond eddy.
  • Binge drinking is more common in Ormond beach at 18.8% compared to 0.0% in Pond eddy.
  • Obesity rates are higher in Ormond beach at 30.8% compared to 0.0% in Pond eddy.
  • Disability percentages are higher in Ormond beach at 15.0% compared to 0.0% in Pond eddy.

Education Levels

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

Education Level Ormond beach Pond eddy
No Schooling 0.4% (173) 0.0% (Data is updating)
High School Diploma 16.1% (7,098) 0.0% (Data is updating)
Less than High School 8.9% (3,901) 0.0% (Data is updating)
Bachelor's Degree and Higher 26.5% (11,653) 0.0% (Data is updating)

Education Levels Comparison: Ormond beach vs Pond eddy

  • A higher percentage of residents in Ormond beach have no formal schooling at 0.4% compared to 0.0% in Pond eddy.
  • A higher percentage of residents in Ormond beach hold a high school diploma at 16.1% compared to 0.0% in Pond eddy.
  • More residents in Ormond beach have less than a high school education at 8.9% compared to 0.0% in Pond eddy.
  • A higher percentage of residents in Ormond beach hold a bachelor's degree or higher at 26.5% compared to 0.0% in Pond eddy.

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.