Demographics details for Brownfield, TX vs Sylvan beach, NY

Population Overview

Compare main population characteristics in Brownfield, TX vs Sylvan beach, NY.

Data Brownfield Sylvan beach
Population 8,717 885
Median Age 35.7 years 50.1 years
Median Income $41,228 $48,125
Married Families 32.0% 32.0%
Poverty Level 10% 10%
Unemployment Rate 4.2 4.5

Population Comparison: Brownfield vs Sylvan beach

  • In Brownfield, the population is higher at 8,717, compared to 885 in Sylvan beach.
  • The median age in Sylvan beach is higher at 50.1 years, compared to 35.7 years in Brownfield.
  • Sylvan beach has a higher median income of $48,125, compared to $41,228 in Brownfield.
  • The percentage of married families is the same in both Brownfield and Sylvan beach at 32.0%.
  • The poverty level is identical in both Brownfield and Sylvan beach at 10%.
  • Sylvan beach has a higher unemployment rate at 4.5% compared to 4.2% in Brownfield.

Demographics

Demographics Brownfield vs Sylvan beach provide insight into the diversity of the communities to compare.

Demographic Brownfield Sylvan beach
Black 6 Data is updating
White 45 94
Asian Data is updating 1
Hispanic 65 1
Two or More Races 30 3
American Indian Data is updating 1

Demographics Comparison: Brownfield vs Sylvan beach

  • A higher percentage of Black residents are in Brownfield at 6% compared to 0% in Sylvan beach.
  • The percentage of White residents is higher in Sylvan beach at 94% compared to 45% in Brownfield.
  • In Sylvan beach, the Asian population stands at 1%, greater than 0% in Brownfield.
  • The Hispanic community is larger in Brownfield at 65% compared to 1% in Sylvan beach.
  • More residents identify as two or more races in Brownfield at 30% compared to 3% in Sylvan beach.
  • In Sylvan beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Brownfield.

Health Statistics

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

Health Metric Brownfield Sylvan beach
Mental Health Not Good 19.0% 17.8%
Physical Health Not Good 15.7% 11.8%
Depression 23.8% 26.8%
Smoking 22.1% 24.0%
Binge Drinking 16.8% 19.7%
Obesity 43.5% 36.2%
Disability Percentage 16.0% 20.0%

Health Statistics Comparison: Brownfield vs Sylvan beach

  • More residents in Brownfield report poor mental health at 19.0% compared to 17.8% in Sylvan beach.
  • Higher depression rates are seen in Sylvan beach at 26.8% versus 23.8% in Brownfield.
  • Sylvan beach has a higher smoking rate at 24.0% compared to 22.1% in Brownfield.
  • More residents engage in binge drinking in Sylvan beach at 19.7% compared to 16.8% in Brownfield.
  • Obesity rates are higher in Brownfield at 43.5% compared to 36.2% in Sylvan beach.
  • There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 16.0% in Brownfield.

Education Levels

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

Education Level Brownfield Sylvan beach
No Schooling 2.6% (229) 0.0% (Data is updating)
High School Diploma 18.9% (1,651) 28.5% (252)
Less than High School 31.1% (2,709) 14.5% (128)
Bachelor's Degree and Higher 5.4% (475) 15.6% (138)

Education Levels Comparison: Brownfield vs Sylvan beach

  • A higher percentage of residents in Brownfield have no formal schooling at 2.6% compared to 0.0% in Sylvan beach.
  • In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 18.9% in Brownfield.
  • More residents in Brownfield have less than a high school education at 31.1% compared to 14.5% in Sylvan beach.
  • In Sylvan beach, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 5.4% in Brownfield.

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.