Demographics details for Sudlersville, MD vs Redondo beach, CA

Population Overview

Compare main population characteristics in Sudlersville, MD vs Redondo beach, CA.

Data Sudlersville Redondo beach
Population 516 68,918
Median Age 44.4 years 40.1 years
Median Income $40,000 $134,033
Married Families 21.0% 42.0%
Poverty Level 12% Data is updating
Unemployment Rate 3.5 5.0

Population Comparison: Sudlersville vs Redondo beach

  • The population in Redondo beach is higher at 68,918, compared to 516 in Sudlersville.
  • Residents in Sudlersville have a higher median age of 44.4 years compared to 40.1 years in Redondo beach.
  • Redondo beach has a higher median income of $134,033, compared to $40,000 in Sudlersville.
  • In Redondo beach, the percentage of married families is higher at 42.0%, compared to 21.0% in Sudlersville.
  • Sudlersville has a higher poverty level at 12% compared to 0% in Redondo beach.
  • Redondo beach has a higher unemployment rate at 5.0% compared to 3.5% in Sudlersville.

Demographics

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

Demographic Sudlersville Redondo beach
Black 5 3
White 86 50
Asian Data is updating 17
Hispanic 9 16
Two or More Races Data is updating 14
American Indian Data is updating Data is updating

Demographics Comparison: Sudlersville vs Redondo beach

  • A higher percentage of Black residents are in Sudlersville at 5% compared to 3% in Redondo beach.
  • Sudlersville has a higher percentage of White residents at 86% compared to 50% in Redondo beach.
  • In Redondo beach, the Asian population stands at 17%, greater than 0% in Sudlersville.
  • Redondo beach has a higher percentage of Hispanic residents at 16%, compared to 9% in Sudlersville.
  • The percentage of residents identifying as two or more races is higher in Redondo beach at 14%, compared to 0% in Sudlersville.
  • The percentage of American Indian residents is the same in both Sudlersville and Redondo beach at 0%.

Health Statistics

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

Health Metric Sudlersville Redondo beach
Mental Health Not Good 18.1% 12.7%
Physical Health Not Good 12.1% 7.4%
Depression 22.4% 15.8%
Smoking 19.8% 6.9%
Binge Drinking 16.2% 17.9%
Obesity 39.1% 22.8%
Disability Percentage 19.0% 6.0%

Health Statistics Comparison: Sudlersville vs Redondo beach

  • More residents in Sudlersville report poor mental health at 18.1% compared to 12.7% in Redondo beach.
  • Depression is more prevalent in Sudlersville at 22.4% compared to 15.8% in Redondo beach.
  • Smoking is more prevalent in Sudlersville at 19.8% compared to 6.9% in Redondo beach.
  • More residents engage in binge drinking in Redondo beach at 17.9% compared to 16.2% in Sudlersville.
  • Obesity rates are higher in Sudlersville at 39.1% compared to 22.8% in Redondo beach.
  • Disability percentages are higher in Sudlersville at 19.0% 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 Sudlersville Redondo beach
No Schooling 0.6% (3) 0.7% (495)
High School Diploma 29.7% (153) 6.8% (4,657)
Less than High School 8.9% (46) 4.9% (3,375)
Bachelor's Degree and Higher 9.1% (47) 48.0% (33,051)

Education Levels Comparison: Sudlersville vs Redondo beach

  • In Redondo beach, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Sudlersville.
  • A higher percentage of residents in Sudlersville hold a high school diploma at 29.7% compared to 6.8% in Redondo beach.
  • More residents in Sudlersville have less than a high school education at 8.9% 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 9.1% in Sudlersville.

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.