Demographics details for Sugar valley, GA vs Delray beach, FL

Population Overview

Compare main population characteristics in Sugar valley, GA vs Delray beach, FL.

Data Sugar valley Delray beach
Population 8,120 67,030
Median Age 38.8 years 50.7 years
Median Income $68,839 $76,558
Married Families 42.0% 37.0%
Poverty Level 9% 8%
Unemployment Rate 3.5 3.3

Population Comparison: Sugar valley vs Delray beach

  • The population in Delray beach is higher at 67,030, compared to 8,120 in Sugar valley.
  • The median age in Delray beach is higher at 50.7 years, compared to 38.8 years in Sugar valley.
  • Delray beach has a higher median income of $76,558, compared to $68,839 in Sugar valley.
  • A higher percentage of married families is found in Sugar valley at 42.0% compared to 37.0% in Delray beach.
  • Sugar valley has a higher poverty level at 9% compared to 8% in Delray beach.
  • The unemployment rate in Sugar valley is higher at 3.5%, compared to 3.3% in Delray beach.

Demographics

Demographics Sugar valley vs Delray beach provide insight into the diversity of the communities to compare.

Demographic Sugar valley Delray beach
Black Data is updating 30
White 86 49
Asian 1 2
Hispanic 9 11
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: Sugar valley vs Delray beach

  • In Delray beach, the percentage of Black residents is higher at 30% compared to 0% in Sugar valley.
  • Sugar valley has a higher percentage of White residents at 86% compared to 49% in Delray beach.
  • In Delray beach, the Asian population stands at 2%, greater than 1% in Sugar valley.
  • Delray beach has a higher percentage of Hispanic residents at 11%, compared to 9% in Sugar valley.
  • The percentage of residents identifying as two or more races is higher in Delray beach at 8%, compared to 4% in Sugar valley.
  • The percentage of American Indian residents is the same in both Sugar valley and Delray beach at 0%.

Health Statistics

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

Health Metric Sugar valley Delray beach
Mental Health Not Good Data is updating% 15.3%
Physical Health Not Good Data is updating% 10.4%
Depression Data is updating% 17.6%
Smoking Data is updating% 17.7%
Binge Drinking Data is updating% 15.6%
Obesity Data is updating% 27.5%
Disability Percentage 16.0% 11.0%

Health Statistics Comparison: Sugar valley vs Delray beach

  • In Delray beach, a higher percentage report poor mental health at 15.3% compared to 0.0% in Sugar valley.
  • Higher depression rates are seen in Delray beach at 17.6% versus 0.0% in Sugar valley.
  • Delray beach has a higher smoking rate at 17.7% compared to 0.0% in Sugar valley.
  • More residents engage in binge drinking in Delray beach at 15.6% compared to 0.0% in Sugar valley.
  • Delray beach has higher obesity rates at 27.5% compared to 0.0% in Sugar valley.
  • Disability percentages are higher in Sugar valley at 16.0% compared to 11.0% in Delray beach.

Education Levels

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

Education Level Sugar valley Delray beach
No Schooling 1.4% (111) 2.1% (1,417)
High School Diploma 16.9% (1,371) 15.7% (10,520)
Less than High School 22.0% (1,784) 13.1% (8,810)
Bachelor's Degree and Higher 7.6% (619) 31.5% (21,092)

Education Levels Comparison: Sugar valley vs Delray beach

  • In Delray beach, a larger percentage of residents lack formal schooling at 2.1% compared to 1.4% in Sugar valley.
  • A higher percentage of residents in Sugar valley hold a high school diploma at 16.9% compared to 15.7% in Delray beach.
  • More residents in Sugar valley have less than a high school education at 22.0% compared to 13.1% in Delray beach.
  • In Delray beach, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 7.6% in Sugar valley.

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.