Demographics details for Chula vista, CA vs Eagle pass, TX

Population Overview

Compare main population characteristics in Chula vista, CA vs Eagle pass, TX.

Data Chula vista Eagle pass
Population 279,170 28,255
Median Age 36.1 years 29.7 years
Median Income $101,984 $52,254
Married Families 39.0% 39.0%
Poverty Level 12% 25%
Unemployment Rate 4.8 9.3

Population Comparison: Chula vista vs Eagle pass

  • In Chula vista, the population is higher at 279,170, compared to 28,255 in Eagle pass.
  • Residents in Chula vista have a higher median age of 36.1 years compared to 29.7 years in Eagle pass.
  • Chula vista has a higher median income of $101,984 compared to $52,254 in Eagle pass.
  • The percentage of married families is the same in both Chula vista and Eagle pass at 39.0%.
  • The poverty level is higher in Eagle pass at 25%, compared to 12% in Chula vista.
  • Eagle pass has a higher unemployment rate at 9.3% compared to 4.8% in Chula vista.

Demographics

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

Demographic Chula vista Eagle pass
Black 5 Data is updating
White -4 -31
Asian 15 Data is updating
Hispanic 60 96
Two or More Races 23 35
American Indian 1 Data is updating

Demographics Comparison: Chula vista vs Eagle pass

  • A higher percentage of Black residents are in Chula vista at 5% compared to 0% in Eagle pass.
  • Chula vista has a higher percentage of White residents at -4% compared to -31% in Eagle pass.
  • The Asian population is larger in Chula vista at 15% compared to 0% in Eagle pass.
  • Eagle pass has a higher percentage of Hispanic residents at 96%, compared to 60% in Chula vista.
  • The percentage of residents identifying as two or more races is higher in Eagle pass at 35%, compared to 23% in Chula vista.
  • A greater percentage of American Indian residents live in Chula vista at 1% compared to 0% in Eagle pass.

Health Statistics

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

Health Metric Chula vista Eagle pass
Mental Health Not Good 15.1% 17.8%
Physical Health Not Good 11.1% 16.0%
Depression 15.8% 21.3%
Smoking 10.5% 17.3%
Binge Drinking 17.4% 15.4%
Obesity 24.9% 43.7%
Disability Percentage 9.0% 12.0%

Health Statistics Comparison: Chula vista vs Eagle pass

  • In Eagle pass, a higher percentage report poor mental health at 17.8% compared to 15.1% in Chula vista.
  • Higher depression rates are seen in Eagle pass at 21.3% versus 15.8% in Chula vista.
  • Eagle pass has a higher smoking rate at 17.3% compared to 10.5% in Chula vista.
  • Binge drinking is more common in Chula vista at 17.4% compared to 15.4% in Eagle pass.
  • Eagle pass has higher obesity rates at 43.7% compared to 24.9% in Chula vista.
  • There is a higher percentage of disabled individuals in Eagle pass at 12.0% compared to 9.0% in Chula vista.

Education Levels

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

Education Level Chula vista Eagle pass
No Schooling 1.7% (4,667) 1.7% (470)
High School Diploma 11.7% (32,545) 11.8% (3,345)
Less than High School 18.1% (50,584) 30.2% (8,525)
Bachelor's Degree and Higher 20.4% (56,958) 14.5% (4,084)

Education Levels Comparison: Chula vista vs Eagle pass

  • The percentage of residents with no formal schooling is the same in both Chula vista and Eagle pass at 1.7%.
  • In Eagle pass, the rate of residents with high school diplomas is higher at 11.8% compared to 11.7% in Chula vista.
  • The percentage of residents with less than a high school education is higher in Eagle pass at 30.2%, compared to 18.1% in Chula vista.
  • A higher percentage of residents in Chula vista hold a bachelor's degree or higher at 20.4% compared to 14.5% in Eagle pass.

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.