Demographics details for Newport beach, CA vs Dardanelle, AR

Population Overview

Compare main population characteristics in Newport beach, CA vs Dardanelle, AR.

Data Newport beach Dardanelle
Population 83,993 4,518
Median Age 46.7 years 37.9 years
Median Income $149,471 $47,724
Married Families 45.0% 41.0%
Poverty Level 6% 19%
Unemployment Rate 3.5 5.7

Population Comparison: Newport beach vs Dardanelle

  • In Newport beach, the population is higher at 83,993, compared to 4,518 in Dardanelle.
  • Residents in Newport beach have a higher median age of 46.7 years compared to 37.9 years in Dardanelle.
  • Newport beach has a higher median income of $149,471 compared to $47,724 in Dardanelle.
  • A higher percentage of married families is found in Newport beach at 45.0% compared to 41.0% in Dardanelle.
  • The poverty level is higher in Dardanelle at 19%, compared to 6% in Newport beach.
  • Dardanelle has a higher unemployment rate at 5.7% compared to 3.5% in Newport beach.

Demographics

Demographics Newport beach vs Dardanelle provide insight into the diversity of the communities to compare.

Demographic Newport beach Dardanelle
Black 1 8
White 71 50
Asian 8 Data is updating
Hispanic 11 40
Two or More Races 9 2
American Indian Data is updating Data is updating

Demographics Comparison: Newport beach vs Dardanelle

  • In Dardanelle, the percentage of Black residents is higher at 8% compared to 1% in Newport beach.
  • Newport beach has a higher percentage of White residents at 71% compared to 50% in Dardanelle.
  • The Asian population is larger in Newport beach at 8% compared to 0% in Dardanelle.
  • Dardanelle has a higher percentage of Hispanic residents at 40%, compared to 11% in Newport beach.
  • More residents identify as two or more races in Newport beach at 9% compared to 2% in Dardanelle.
  • The percentage of American Indian residents is the same in both Newport beach and Dardanelle at 0%.

Health Statistics

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

Health Metric Newport beach Dardanelle
Mental Health Not Good 13.2% 19.2%
Physical Health Not Good 7.5% 14.9%
Depression 18.2% 26.3%
Smoking 7.3% 22.1%
Binge Drinking 18.7% 14.0%
Obesity 23.5% 37.5%
Disability Percentage 8.0% 21.0%

Health Statistics Comparison: Newport beach vs Dardanelle

  • In Dardanelle, a higher percentage report poor mental health at 19.2% compared to 13.2% in Newport beach.
  • Higher depression rates are seen in Dardanelle at 26.3% versus 18.2% in Newport beach.
  • Dardanelle has a higher smoking rate at 22.1% compared to 7.3% in Newport beach.
  • Binge drinking is more common in Newport beach at 18.7% compared to 14.0% in Dardanelle.
  • Dardanelle has higher obesity rates at 37.5% compared to 23.5% in Newport beach.
  • There is a higher percentage of disabled individuals in Dardanelle at 21.0% compared to 8.0% in Newport beach.

Education Levels

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

Education Level Newport beach Dardanelle
No Schooling 0.5% (429) 2.1% (94)
High School Diploma 5.1% (4,249) 16.5% (745)
Less than High School 3.7% (3,142) 36.0% (1,626)
Bachelor's Degree and Higher 53.0% (44,551) 7.7% (346)

Education Levels Comparison: Newport beach vs Dardanelle

  • In Dardanelle, a larger percentage of residents lack formal schooling at 2.1% compared to 0.5% in Newport beach.
  • In Dardanelle, the rate of residents with high school diplomas is higher at 16.5% compared to 5.1% in Newport beach.
  • The percentage of residents with less than a high school education is higher in Dardanelle at 36.0%, compared to 3.7% in Newport beach.
  • A higher percentage of residents in Newport beach hold a bachelor's degree or higher at 53.0% compared to 7.7% in Dardanelle.

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.