Demographics details for New richmond, OH vs Long beach, WA

Population Overview

Compare main population characteristics in New richmond, OH vs Long beach, WA.

Data New richmond Long beach
Population 2,753 1,754
Median Age 39.5 years 51.3 years
Median Income $76,760 $47,188
Married Families 45.0% 41.0%
Poverty Level 7% 10%
Unemployment Rate 3.2 5.5

Population Comparison: New richmond vs Long beach

  • In New richmond, the population is higher at 2,753, compared to 1,754 in Long beach.
  • The median age in Long beach is higher at 51.3 years, compared to 39.5 years in New richmond.
  • New richmond has a higher median income of $76,760 compared to $47,188 in Long beach.
  • A higher percentage of married families is found in New richmond at 45.0% compared to 41.0% in Long beach.
  • The poverty level is higher in Long beach at 10%, compared to 7% in New richmond.
  • Long beach has a higher unemployment rate at 5.5% compared to 3.2% in New richmond.

Demographics

Demographics New richmond vs Long beach provide insight into the diversity of the communities to compare.

Demographic New richmond Long beach
Black 4 Data is updating
White 89 86
Asian Data is updating 1
Hispanic 3 7
Two or More Races 4 5
American Indian Data is updating 1

Demographics Comparison: New richmond vs Long beach

  • A higher percentage of Black residents are in New richmond at 4% compared to 0% in Long beach.
  • New richmond has a higher percentage of White residents at 89% compared to 86% in Long beach.
  • In Long beach, the Asian population stands at 1%, greater than 0% in New richmond.
  • Long beach has a higher percentage of Hispanic residents at 7%, compared to 3% in New richmond.
  • The percentage of residents identifying as two or more races is higher in Long beach at 5%, compared to 4% in New richmond.
  • In Long beach, the percentage of American Indian residents is higher at 1%, compared to 0% in New richmond.

Health Statistics

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

Health Metric New richmond Long beach
Mental Health Not Good 18.9% 20.3%
Physical Health Not Good 13.3% 14.8%
Depression 25.5% 28.9%
Smoking 24.9% 20.1%
Binge Drinking 19.0% 16.2%
Obesity 38.1% 38.5%
Disability Percentage 18.0% 28.0%

Health Statistics Comparison: New richmond vs Long beach

  • In Long beach, a higher percentage report poor mental health at 20.3% compared to 18.9% in New richmond.
  • Higher depression rates are seen in Long beach at 28.9% versus 25.5% in New richmond.
  • Smoking is more prevalent in New richmond at 24.9% compared to 20.1% in Long beach.
  • Binge drinking is more common in New richmond at 19.0% compared to 16.2% in Long beach.
  • Long beach has higher obesity rates at 38.5% compared to 38.1% in New richmond.
  • There is a higher percentage of disabled individuals in Long beach at 28.0% 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 New richmond Long beach
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 23.4% (643) 19.6% (343)
Less than High School 18.1% (498) 13.6% (238)
Bachelor's Degree and Higher 13.4% (369) 14.3% (250)

Education Levels Comparison: New richmond vs Long beach

  • The percentage of residents with no formal schooling is the same in both New richmond and Long beach at 0.0%.
  • A higher percentage of residents in New richmond hold a high school diploma at 23.4% compared to 19.6% in Long beach.
  • More residents in New richmond have less than a high school education at 18.1% compared to 13.6% in Long beach.
  • In Long beach, a larger share of residents have a bachelor's degree or higher at 14.3% 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.