Demographics details for New richmond, OH vs White plains, NY

Population Overview

Compare main population characteristics in New richmond, OH vs White plains, NY.

Data New richmond White plains
Population 2,753 59,316
Median Age 39.5 years 41.4 years
Median Income $76,760 $109,551
Married Families 45.0% 40.0%
Poverty Level 7% 6%
Unemployment Rate 3.2 3.2

Population Comparison: New richmond vs White plains

  • The population in White plains is higher at 59,316, compared to 2,753 in New richmond.
  • The median age in White plains is higher at 41.4 years, compared to 39.5 years in New richmond.
  • White plains has a higher median income of $109,551, compared to $76,760 in New richmond.
  • A higher percentage of married families is found in New richmond at 45.0% compared to 40.0% in White plains.
  • New richmond has a higher poverty level at 7% compared to 6% in White plains.
  • The unemployment rate is the same in both New richmond and White plains at 3.2%.

Demographics

Demographics New richmond vs White plains provide insight into the diversity of the communities to compare.

Demographic New richmond White plains
Black 4 13
White 89 39
Asian Data is updating 8
Hispanic 3 31
Two or More Races 4 9
American Indian Data is updating Data is updating

Demographics Comparison: New richmond vs White plains

  • In White plains, the percentage of Black residents is higher at 13% compared to 4% in New richmond.
  • New richmond has a higher percentage of White residents at 89% compared to 39% in White plains.
  • In White plains, the Asian population stands at 8%, greater than 0% in New richmond.
  • White plains has a higher percentage of Hispanic residents at 31%, compared to 3% in New richmond.
  • The percentage of residents identifying as two or more races is higher in White plains at 9%, compared to 4% in New richmond.
  • The percentage of American Indian residents is the same in both New richmond and White plains at 0%.

Health Statistics

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

Health Metric New richmond White plains
Mental Health Not Good 18.9% 13.1%
Physical Health Not Good 13.3% 9.1%
Depression 25.5% 17.7%
Smoking 24.9% 11.7%
Binge Drinking 19.0% 15.9%
Obesity 38.1% 28.4%
Disability Percentage 18.0% 10.0%

Health Statistics Comparison: New richmond vs White plains

  • More residents in New richmond report poor mental health at 18.9% compared to 13.1% in White plains.
  • Depression is more prevalent in New richmond at 25.5% compared to 17.7% in White plains.
  • Smoking is more prevalent in New richmond at 24.9% compared to 11.7% in White plains.
  • Binge drinking is more common in New richmond at 19.0% compared to 15.9% in White plains.
  • Obesity rates are higher in New richmond at 38.1% compared to 28.4% in White plains.
  • Disability percentages are higher in New richmond at 18.0% compared to 10.0% in White plains.

Education Levels

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

Education Level New richmond White plains
No Schooling 0.0% (Data is updating) 1.0% (566)
High School Diploma 23.4% (643) 11.6% (6,853)
Less than High School 18.1% (498) 14.7% (8,744)
Bachelor's Degree and Higher 13.4% (369) 39.0% (23,145)

Education Levels Comparison: New richmond vs White plains

  • In White plains, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in New richmond.
  • A higher percentage of residents in New richmond hold a high school diploma at 23.4% compared to 11.6% in White plains.
  • More residents in New richmond have less than a high school education at 18.1% compared to 14.7% in White plains.
  • In White plains, a larger share of residents have a bachelor's degree or higher at 39.0% 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.