Demographics details for Eagle pass, TX vs Masonville, NY

Population Overview

Compare main population characteristics in Eagle pass, TX vs Masonville, NY.

Data Eagle pass Masonville
Population 28,255 1,232
Median Age 29.7 years 45.0 years
Median Income $52,254 $56,000
Married Families 39.0% 70.0%
Poverty Level 25% 12%
Unemployment Rate 9.3 3.5

Population Comparison: Eagle pass vs Masonville

  • In Eagle pass, the population is higher at 28,255, compared to 1,232 in Masonville.
  • The median age in Masonville is higher at 45.0 years, compared to 29.7 years in Eagle pass.
  • Masonville has a higher median income of $56,000, compared to $52,254 in Eagle pass.
  • In Masonville, the percentage of married families is higher at 70.0%, compared to 39.0% in Eagle pass.
  • Eagle pass has a higher poverty level at 25% compared to 12% in Masonville.
  • The unemployment rate in Eagle pass is higher at 9.3%, compared to 3.5% in Masonville.

Demographics

Demographics Eagle pass vs Masonville provide insight into the diversity of the communities to compare.

Demographic Eagle pass Masonville
Black Data is updating 2
White -31 95
Asian Data is updating 1
Hispanic 96 1
Two or More Races 35 1
American Indian Data is updating Data is updating

Demographics Comparison: Eagle pass vs Masonville

  • In Masonville, the percentage of Black residents is higher at 2% compared to 0% in Eagle pass.
  • The percentage of White residents is higher in Masonville at 95% compared to -31% in Eagle pass.
  • In Masonville, the Asian population stands at 1%, greater than 0% in Eagle pass.
  • The Hispanic community is larger in Eagle pass at 96% compared to 1% in Masonville.
  • More residents identify as two or more races in Eagle pass at 35% compared to 1% in Masonville.
  • The percentage of American Indian residents is the same in both Eagle pass and Masonville at 0%.

Health Statistics

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

Health Metric Eagle pass Masonville
Mental Health Not Good 17.8% Data is updating%
Physical Health Not Good 16.0% Data is updating%
Depression 21.3% Data is updating%
Smoking 17.3% Data is updating%
Binge Drinking 15.4% Data is updating%
Obesity 43.7% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Eagle pass vs Masonville

  • More residents in Eagle pass report poor mental health at 17.8% compared to 0.0% in Masonville.
  • Depression is more prevalent in Eagle pass at 21.3% compared to 0.0% in Masonville.
  • Smoking is more prevalent in Eagle pass at 17.3% compared to 0.0% in Masonville.
  • Binge drinking is more common in Eagle pass at 15.4% compared to 0.0% in Masonville.
  • Obesity rates are higher in Eagle pass at 43.7% compared to 0.0% in Masonville.
  • Disability percentages are higher in Eagle pass at 12.0% compared to 0.0% in Masonville.

Education Levels

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

Education Level Eagle pass Masonville
No Schooling 1.7% (470) 0.0% (Data is updating)
High School Diploma 11.8% (3,345) 0.0% (Data is updating)
Less than High School 30.2% (8,525) 0.0% (Data is updating)
Bachelor's Degree and Higher 14.5% (4,084) 0.0% (Data is updating)

Education Levels Comparison: Eagle pass vs Masonville

  • A higher percentage of residents in Eagle pass have no formal schooling at 1.7% compared to 0.0% in Masonville.
  • A higher percentage of residents in Eagle pass hold a high school diploma at 11.8% compared to 0.0% in Masonville.
  • More residents in Eagle pass have less than a high school education at 30.2% compared to 0.0% in Masonville.
  • A higher percentage of residents in Eagle pass hold a bachelor's degree or higher at 14.5% compared to 0.0% in Masonville.

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.