Demographics details for Dardanelle, AR vs Redondo beach, CA

Population Overview

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

Data Dardanelle Redondo beach
Population 4,518 68,918
Median Age 37.9 years 40.1 years
Median Income $47,724 $134,033
Married Families 41.0% 42.0%
Poverty Level 19% Data is updating
Unemployment Rate 5.7 5.0

Population Comparison: Dardanelle vs Redondo beach

  • The population in Redondo beach is higher at 68,918, compared to 4,518 in Dardanelle.
  • The median age in Redondo beach is higher at 40.1 years, compared to 37.9 years in Dardanelle.
  • Redondo beach has a higher median income of $134,033, compared to $47,724 in Dardanelle.
  • In Redondo beach, the percentage of married families is higher at 42.0%, compared to 41.0% in Dardanelle.
  • Dardanelle has a higher poverty level at 19% compared to 0% in Redondo beach.
  • The unemployment rate in Dardanelle is higher at 5.7%, compared to 5.0% in Redondo beach.

Demographics

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

Demographic Dardanelle Redondo beach
Black 8 3
White 50 50
Asian Data is updating 17
Hispanic 40 16
Two or More Races 2 14
American Indian Data is updating Data is updating

Demographics Comparison: Dardanelle vs Redondo beach

  • A higher percentage of Black residents are in Dardanelle at 8% compared to 3% in Redondo beach.
  • The percentage of White residents is the same in both Dardanelle and Redondo beach at 50%.
  • In Redondo beach, the Asian population stands at 17%, greater than 0% in Dardanelle.
  • The Hispanic community is larger in Dardanelle at 40% compared to 16% in Redondo beach.
  • The percentage of residents identifying as two or more races is higher in Redondo beach at 14%, compared to 2% in Dardanelle.
  • The percentage of American Indian residents is the same in both Dardanelle and Redondo beach at 0%.

Health Statistics

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

Health Metric Dardanelle Redondo beach
Mental Health Not Good 19.2% 12.7%
Physical Health Not Good 14.9% 7.4%
Depression 26.3% 15.8%
Smoking 22.1% 6.9%
Binge Drinking 14.0% 17.9%
Obesity 37.5% 22.8%
Disability Percentage 21.0% 6.0%

Health Statistics Comparison: Dardanelle vs Redondo beach

  • More residents in Dardanelle report poor mental health at 19.2% compared to 12.7% in Redondo beach.
  • Depression is more prevalent in Dardanelle at 26.3% compared to 15.8% in Redondo beach.
  • Smoking is more prevalent in Dardanelle at 22.1% compared to 6.9% in Redondo beach.
  • More residents engage in binge drinking in Redondo beach at 17.9% compared to 14.0% in Dardanelle.
  • Obesity rates are higher in Dardanelle at 37.5% compared to 22.8% in Redondo beach.
  • Disability percentages are higher in Dardanelle at 21.0% compared to 6.0% in Redondo beach.

Education Levels

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

Education Level Dardanelle Redondo beach
No Schooling 2.1% (94) 0.7% (495)
High School Diploma 16.5% (745) 6.8% (4,657)
Less than High School 36.0% (1,626) 4.9% (3,375)
Bachelor's Degree and Higher 7.7% (346) 48.0% (33,051)

Education Levels Comparison: Dardanelle vs Redondo beach

  • A higher percentage of residents in Dardanelle have no formal schooling at 2.1% compared to 0.7% in Redondo beach.
  • A higher percentage of residents in Dardanelle hold a high school diploma at 16.5% compared to 6.8% in Redondo beach.
  • More residents in Dardanelle have less than a high school education at 36.0% compared to 4.9% in Redondo beach.
  • In Redondo beach, a larger share of residents have a bachelor's degree or higher at 48.0% 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.