Demographics details for De queen, AR vs Swan lake, NY

Population Overview

Compare main population characteristics in De queen, AR vs Swan lake, NY.

Data De queen Swan lake
Population 6,042 331
Median Age 33.0 years 40.0 years
Median Income $55,207 $55,000
Married Families 35.0% 52.0%
Poverty Level 24% 5%
Unemployment Rate 4.8 3.0

Population Comparison: De queen vs Swan lake

  • In De queen, the population is higher at 6,042, compared to 331 in Swan lake.
  • The median age in Swan lake is higher at 40.0 years, compared to 33.0 years in De queen.
  • De queen has a higher median income of $55,207 compared to $55,000 in Swan lake.
  • In Swan lake, the percentage of married families is higher at 52.0%, compared to 35.0% in De queen.
  • De queen has a higher poverty level at 24% compared to 5% in Swan lake.
  • The unemployment rate in De queen is higher at 4.8%, compared to 3.0% in Swan lake.

Demographics

Demographics De queen vs Swan lake provide insight into the diversity of the communities to compare.

Demographic De queen Swan lake
Black 6 5
White 28 80
Asian Data is updating 10
Hispanic 60 5
Two or More Races 5 Data is updating
American Indian 1 Data is updating

Demographics Comparison: De queen vs Swan lake

  • A higher percentage of Black residents are in De queen at 6% compared to 5% in Swan lake.
  • The percentage of White residents is higher in Swan lake at 80% compared to 28% in De queen.
  • In Swan lake, the Asian population stands at 10%, greater than 0% in De queen.
  • The Hispanic community is larger in De queen at 60% compared to 5% in Swan lake.
  • More residents identify as two or more races in De queen at 5% compared to 0% in Swan lake.
  • A greater percentage of American Indian residents live in De queen at 1% compared to 0% in Swan lake.

Health Statistics

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

Health Metric De queen Swan lake
Mental Health Not Good 20.2% Data is updating%
Physical Health Not Good 17.2% Data is updating%
Depression 24.7% Data is updating%
Smoking 24.0% Data is updating%
Binge Drinking 12.9% Data is updating%
Obesity 44.1% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: De queen vs Swan lake

  • More residents in De queen report poor mental health at 20.2% compared to 0.0% in Swan lake.
  • Depression is more prevalent in De queen at 24.7% compared to 0.0% in Swan lake.
  • Smoking is more prevalent in De queen at 24.0% compared to 0.0% in Swan lake.
  • Binge drinking is more common in De queen at 12.9% compared to 0.0% in Swan lake.
  • Obesity rates are higher in De queen at 44.1% compared to 0.0% in Swan lake.
  • Disability percentages are higher in De queen at 12.0% compared to 0.0% in Swan lake.

Education Levels

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

Education Level De queen Swan lake
No Schooling 1.8% (108) 0.0% (Data is updating)
High School Diploma 15.0% (905) 0.0% (Data is updating)
Less than High School 46.5% (2,809) 0.0% (Data is updating)
Bachelor's Degree and Higher 7.0% (421) 0.0% (Data is updating)

Education Levels Comparison: De queen vs Swan lake

  • A higher percentage of residents in De queen have no formal schooling at 1.8% compared to 0.0% in Swan lake.
  • A higher percentage of residents in De queen hold a high school diploma at 15.0% compared to 0.0% in Swan lake.
  • More residents in De queen have less than a high school education at 46.5% compared to 0.0% in Swan lake.
  • A higher percentage of residents in De queen hold a bachelor's degree or higher at 7.0% compared to 0.0% in Swan lake.

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.