Demographics details for Riverhead, NY vs Bethlehem, PA

Population Overview

Compare main population characteristics in Riverhead, NY vs Bethlehem, PA.

Data Riverhead Bethlehem
Population 33,539 77,617
Median Age 42.0 years 35.9 years
Median Income $80,000 $62,072
Married Families 60.0% 29.0%
Poverty Level 7% 13%
Unemployment Rate 3.3 3.5

Population Comparison: Riverhead vs Bethlehem

  • The population in Bethlehem is higher at 77,617, compared to 33,539 in Riverhead.
  • Residents in Riverhead have a higher median age of 42.0 years compared to 35.9 years in Bethlehem.
  • Riverhead has a higher median income of $80,000 compared to $62,072 in Bethlehem.
  • A higher percentage of married families is found in Riverhead at 60.0% compared to 29.0% in Bethlehem.
  • The poverty level is higher in Bethlehem at 13%, compared to 7% in Riverhead.
  • Bethlehem has a higher unemployment rate at 3.5% compared to 3.3% in Riverhead.

Demographics

Demographics Riverhead vs Bethlehem provide insight into the diversity of the communities to compare.

Demographic Riverhead Bethlehem
Black 10 9
White 70 47
Asian 5 3
Hispanic 15 30
Two or More Races Data is updating 11
American Indian Data is updating Data is updating

Demographics Comparison: Riverhead vs Bethlehem

  • A higher percentage of Black residents are in Riverhead at 10% compared to 9% in Bethlehem.
  • Riverhead has a higher percentage of White residents at 70% compared to 47% in Bethlehem.
  • The Asian population is larger in Riverhead at 5% compared to 3% in Bethlehem.
  • Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 15% in Riverhead.
  • The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 0% in Riverhead.
  • The percentage of American Indian residents is the same in both Riverhead and Bethlehem at 0%.

Health Statistics

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

Health Metric Riverhead Bethlehem
Mental Health Not Good Data is updating% 16.9%
Physical Health Not Good Data is updating% 12.1%
Depression Data is updating% 21.8%
Smoking Data is updating% 18.4%
Binge Drinking Data is updating% 17.6%
Obesity Data is updating% 34.7%
Disability Percentage Data is updating% 13.0%

Health Statistics Comparison: Riverhead vs Bethlehem

  • In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 0.0% in Riverhead.
  • Higher depression rates are seen in Bethlehem at 21.8% versus 0.0% in Riverhead.
  • Bethlehem has a higher smoking rate at 18.4% compared to 0.0% in Riverhead.
  • More residents engage in binge drinking in Bethlehem at 17.6% compared to 0.0% in Riverhead.
  • Bethlehem has higher obesity rates at 34.7% compared to 0.0% in Riverhead.
  • There is a higher percentage of disabled individuals in Bethlehem at 13.0% compared to 0.0% in Riverhead.

Education Levels

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

Education Level Riverhead Bethlehem
No Schooling 0.0% (Data is updating) 0.6% (452)
High School Diploma 0.0% (Data is updating) 16.9% (13,125)
Less than High School 0.0% (Data is updating) 12.9% (10,045)
Bachelor's Degree and Higher 0.0% (Data is updating) 22.0% (17,044)

Education Levels Comparison: Riverhead vs Bethlehem

  • In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Riverhead.
  • In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 0.0% in Riverhead.
  • The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 0.0% in Riverhead.
  • In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 0.0% in Riverhead.

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.