Demographics details for Keuka park, NY vs New richmond, OH

Population Overview

Compare main population characteristics in Keuka park, NY vs New richmond, OH.

Data Keuka park New richmond
Population 1,092 2,753
Median Age 20.4 years 39.5 years
Median Income $79,569 $76,760
Married Families 15.0% 45.0%
Poverty Level 12% 7%
Unemployment Rate 4.1 3.2

Population Comparison: Keuka park vs New richmond

  • The population in New richmond is higher at 2,753, compared to 1,092 in Keuka park.
  • The median age in New richmond is higher at 39.5 years, compared to 20.4 years in Keuka park.
  • Keuka park has a higher median income of $79,569 compared to $76,760 in New richmond.
  • In New richmond, the percentage of married families is higher at 45.0%, compared to 15.0% in Keuka park.
  • Keuka park has a higher poverty level at 12% compared to 7% in New richmond.
  • The unemployment rate in Keuka park is higher at 4.1%, compared to 3.2% in New richmond.

Demographics

Demographics Keuka park vs New richmond provide insight into the diversity of the communities to compare.

Demographic Keuka park New richmond
Black 1 4
White 97 89
Asian Data is updating Data is updating
Hispanic 1 3
Two or More Races 1 4
American Indian Data is updating Data is updating

Demographics Comparison: Keuka park vs New richmond

  • In New richmond, the percentage of Black residents is higher at 4% compared to 1% in Keuka park.
  • Keuka park has a higher percentage of White residents at 97% compared to 89% in New richmond.
  • Both Keuka park and New richmond have the same percentage of Asian residents at 0%.
  • New richmond has a higher percentage of Hispanic residents at 3%, compared to 1% in Keuka park.
  • The percentage of residents identifying as two or more races is higher in New richmond at 4%, compared to 1% in Keuka park.
  • The percentage of American Indian residents is the same in both Keuka park and New richmond at 0%.

Health Statistics

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

Health Metric Keuka park New richmond
Mental Health Not Good 14.9% 18.9%
Physical Health Not Good 9.0% 13.3%
Depression 25.1% 25.5%
Smoking 14.8% 24.9%
Binge Drinking 17.5% 19.0%
Obesity 29.4% 38.1%
Disability Percentage 19.0% 18.0%

Health Statistics Comparison: Keuka park vs New richmond

  • In New richmond, a higher percentage report poor mental health at 18.9% compared to 14.9% in Keuka park.
  • Higher depression rates are seen in New richmond at 25.5% versus 25.1% in Keuka park.
  • New richmond has a higher smoking rate at 24.9% compared to 14.8% in Keuka park.
  • More residents engage in binge drinking in New richmond at 19.0% compared to 17.5% in Keuka park.
  • New richmond has higher obesity rates at 38.1% compared to 29.4% in Keuka park.
  • Disability percentages are higher in Keuka park at 19.0% compared to 18.0% in New richmond.

Education Levels

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

Education Level Keuka park New richmond
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 3.6% (39) 23.4% (643)
Less than High School 0.0% (Data is updating) 18.1% (498)
Bachelor's Degree and Higher 13.6% (149) 13.4% (369)

Education Levels Comparison: Keuka park vs New richmond

  • The percentage of residents with no formal schooling is the same in both Keuka park and New richmond at 0.0%.
  • In New richmond, the rate of residents with high school diplomas is higher at 23.4% compared to 3.6% in Keuka park.
  • The percentage of residents with less than a high school education is higher in New richmond at 18.1%, compared to 0.0% in Keuka park.
  • A higher percentage of residents in Keuka park hold a bachelor's degree or higher at 13.6% compared to 13.4% in New richmond.

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.