Demographics details for Eagle pass, TX vs Cedar bluff, VA

Population Overview

Compare main population characteristics in Eagle pass, TX vs Cedar bluff, VA.

Data Eagle pass Cedar bluff
Population 28,255 1,045
Median Age 29.7 years 48.9 years
Median Income $52,254 $41,094
Married Families 39.0% 54.0%
Poverty Level 25% 8%
Unemployment Rate 9.3 4.2

Population Comparison: Eagle pass vs Cedar bluff

  • In Eagle pass, the population is higher at 28,255, compared to 1,045 in Cedar bluff.
  • The median age in Cedar bluff is higher at 48.9 years, compared to 29.7 years in Eagle pass.
  • Eagle pass has a higher median income of $52,254 compared to $41,094 in Cedar bluff.
  • In Cedar bluff, the percentage of married families is higher at 54.0%, compared to 39.0% in Eagle pass.
  • Eagle pass has a higher poverty level at 25% compared to 8% in Cedar bluff.
  • The unemployment rate in Eagle pass is higher at 9.3%, compared to 4.2% in Cedar bluff.

Demographics

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

Demographic Eagle pass Cedar bluff
Black Data is updating Data is updating
White -31 100
Asian Data is updating Data is updating
Hispanic 96 Data is updating
Two or More Races 35 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Eagle pass vs Cedar bluff

  • The percentage of Black residents is the same in both Eagle pass and Cedar bluff at 0%.
  • The percentage of White residents is higher in Cedar bluff at 100% compared to -31% in Eagle pass.
  • Both Eagle pass and Cedar bluff have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Eagle pass at 96% compared to 0% in Cedar bluff.
  • More residents identify as two or more races in Eagle pass at 35% compared to 0% in Cedar bluff.
  • The percentage of American Indian residents is the same in both Eagle pass and Cedar bluff at 0%.

Health Statistics

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

Health Metric Eagle pass Cedar bluff
Mental Health Not Good 17.8% 19.8%
Physical Health Not Good 16.0% 13.5%
Depression 21.3% 28.4%
Smoking 17.3% 21.7%
Binge Drinking 15.4% 18.0%
Obesity 43.7% 36.2%
Disability Percentage 12.0% 22.0%

Health Statistics Comparison: Eagle pass vs Cedar bluff

  • In Cedar bluff, a higher percentage report poor mental health at 19.8% compared to 17.8% in Eagle pass.
  • Higher depression rates are seen in Cedar bluff at 28.4% versus 21.3% in Eagle pass.
  • Cedar bluff has a higher smoking rate at 21.7% compared to 17.3% in Eagle pass.
  • More residents engage in binge drinking in Cedar bluff at 18.0% compared to 15.4% in Eagle pass.
  • Obesity rates are higher in Eagle pass at 43.7% compared to 36.2% in Cedar bluff.
  • There is a higher percentage of disabled individuals in Cedar bluff at 22.0% compared to 12.0% in Eagle pass.

Education Levels

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

Education Level Eagle pass Cedar bluff
No Schooling 1.7% (470) 0.0% (Data is updating)
High School Diploma 11.8% (3,345) 32.9% (344)
Less than High School 30.2% (8,525) 19.7% (206)
Bachelor's Degree and Higher 14.5% (4,084) 13.0% (136)

Education Levels Comparison: Eagle pass vs Cedar bluff

  • A higher percentage of residents in Eagle pass have no formal schooling at 1.7% compared to 0.0% in Cedar bluff.
  • In Cedar bluff, the rate of residents with high school diplomas is higher at 32.9% compared to 11.8% in Eagle pass.
  • More residents in Eagle pass have less than a high school education at 30.2% compared to 19.7% in Cedar bluff.
  • A higher percentage of residents in Eagle pass hold a bachelor's degree or higher at 14.5% compared to 13.0% in Cedar bluff.

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.