Demographics details for Flower mound, TX vs Avon by the sea, NJ

Population Overview

Compare main population characteristics in Flower mound, TX vs Avon by the sea, NJ.

Data Flower mound Avon by the sea
Population 78,486 1,940
Median Age 42.6 years 56.2 years
Median Income $154,471 $106,563
Married Families 51.0% 44.0%
Poverty Level 4% Data is updating
Unemployment Rate 3.7 4.2

Population Comparison: Flower mound vs Avon by the sea

  • In Flower mound, the population is higher at 78,486, compared to 1,940 in Avon by the sea.
  • The median age in Avon by the sea is higher at 56.2 years, compared to 42.6 years in Flower mound.
  • Flower mound has a higher median income of $154,471 compared to $106,563 in Avon by the sea.
  • A higher percentage of married families is found in Flower mound at 51.0% compared to 44.0% in Avon by the sea.
  • Flower mound has a higher poverty level at 4% compared to 0% in Avon by the sea.
  • Avon by the sea has a higher unemployment rate at 4.2% compared to 3.7% in Flower mound.

Demographics

Demographics Flower mound vs Avon by the sea provide insight into the diversity of the communities to compare.

Demographic Flower mound Avon by the sea
Black 3 1
White 66 88
Asian 13 1
Hispanic 11 6
Two or More Races 7 4
American Indian Data is updating Data is updating

Demographics Comparison: Flower mound vs Avon by the sea

  • A higher percentage of Black residents are in Flower mound at 3% compared to 1% in Avon by the sea.
  • The percentage of White residents is higher in Avon by the sea at 88% compared to 66% in Flower mound.
  • The Asian population is larger in Flower mound at 13% compared to 1% in Avon by the sea.
  • The Hispanic community is larger in Flower mound at 11% compared to 6% in Avon by the sea.
  • More residents identify as two or more races in Flower mound at 7% compared to 4% in Avon by the sea.
  • The percentage of American Indian residents is the same in both Flower mound and Avon by the sea at 0%.

Health Statistics

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

Health Metric Flower mound Avon by the sea
Mental Health Not Good 13.3% 13.7%
Physical Health Not Good 7.7% 7.7%
Depression 21.1% 20.3%
Smoking 9.5% 9.9%
Binge Drinking 19.7% 19.5%
Obesity 28.5% 25.6%
Disability Percentage 6.0% 10.0%

Health Statistics Comparison: Flower mound vs Avon by the sea

  • In Avon by the sea, a higher percentage report poor mental health at 13.7% compared to 13.3% in Flower mound.
  • Depression is more prevalent in Flower mound at 21.1% compared to 20.3% in Avon by the sea.
  • Avon by the sea has a higher smoking rate at 9.9% compared to 9.5% in Flower mound.
  • Binge drinking is more common in Flower mound at 19.7% compared to 19.5% in Avon by the sea.
  • Obesity rates are higher in Flower mound at 28.5% compared to 25.6% in Avon by the sea.
  • There is a higher percentage of disabled individuals in Avon by the sea at 10.0% compared to 6.0% in Flower mound.

Education Levels

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

Education Level Flower mound Avon by the sea
No Schooling 0.7% (519) 0.3% (6)
High School Diploma 6.2% (4,886) 9.7% (188)
Less than High School 2.7% (2,090) 3.5% (67)
Bachelor's Degree and Higher 42.3% (33,161) 52.3% (1,014)

Education Levels Comparison: Flower mound vs Avon by the sea

  • A higher percentage of residents in Flower mound have no formal schooling at 0.7% compared to 0.3% in Avon by the sea.
  • In Avon by the sea, the rate of residents with high school diplomas is higher at 9.7% compared to 6.2% in Flower mound.
  • The percentage of residents with less than a high school education is higher in Avon by the sea at 3.5%, compared to 2.7% in Flower mound.
  • In Avon by the sea, a larger share of residents have a bachelor's degree or higher at 52.3% compared to 42.3% in Flower mound.

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.