Demographics details for New milford, CT vs Eagle pass, TX

Population Overview

Compare main population characteristics in New milford, CT vs Eagle pass, TX.

Data New milford Eagle pass
Population 7,095 28,255
Median Age 41.0 years 29.7 years
Median Income $70,625 $52,254
Married Families 38.0% 39.0%
Poverty Level 7% 25%
Unemployment Rate 3.5 9.3

Population Comparison: New milford vs Eagle pass

  • The population in Eagle pass is higher at 28,255, compared to 7,095 in New milford.
  • Residents in New milford have a higher median age of 41.0 years compared to 29.7 years in Eagle pass.
  • New milford has a higher median income of $70,625 compared to $52,254 in Eagle pass.
  • In Eagle pass, the percentage of married families is higher at 39.0%, compared to 38.0% in New milford.
  • The poverty level is higher in Eagle pass at 25%, compared to 7% in New milford.
  • Eagle pass has a higher unemployment rate at 9.3% compared to 3.5% in New milford.

Demographics

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

Demographic New milford Eagle pass
Black 4 Data is updating
White 76 -31
Asian 4 Data is updating
Hispanic 10 96
Two or More Races 6 35
American Indian Data is updating Data is updating

Demographics Comparison: New milford vs Eagle pass

  • A higher percentage of Black residents are in New milford at 4% compared to 0% in Eagle pass.
  • New milford has a higher percentage of White residents at 76% compared to -31% in Eagle pass.
  • The Asian population is larger in New milford at 4% compared to 0% in Eagle pass.
  • Eagle pass has a higher percentage of Hispanic residents at 96%, compared to 10% in New milford.
  • The percentage of residents identifying as two or more races is higher in Eagle pass at 35%, compared to 6% in New milford.
  • The percentage of American Indian residents is the same in both New milford and Eagle pass at 0%.

Health Statistics

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

Health Metric New milford Eagle pass
Mental Health Not Good 14.8% 17.8%
Physical Health Not Good 9.2% 16.0%
Depression 22.1% 21.3%
Smoking 13.2% 17.3%
Binge Drinking 17.1% 15.4%
Obesity 27.2% 43.7%
Disability Percentage 10.0% 12.0%

Health Statistics Comparison: New milford vs Eagle pass

  • In Eagle pass, a higher percentage report poor mental health at 17.8% compared to 14.8% in New milford.
  • Depression is more prevalent in New milford at 22.1% compared to 21.3% in Eagle pass.
  • Eagle pass has a higher smoking rate at 17.3% compared to 13.2% in New milford.
  • Binge drinking is more common in New milford at 17.1% compared to 15.4% in Eagle pass.
  • Eagle pass has higher obesity rates at 43.7% compared to 27.2% in New milford.
  • There is a higher percentage of disabled individuals in Eagle pass at 12.0% compared to 10.0% in New milford.

Education Levels

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

Education Level New milford Eagle pass
No Schooling 0.0% (Data is updating) 1.7% (470)
High School Diploma 21.6% (1,531) 11.8% (3,345)
Less than High School 10.0% (710) 30.2% (8,525)
Bachelor's Degree and Higher 23.4% (1,658) 14.5% (4,084)

Education Levels Comparison: New milford vs Eagle pass

  • In Eagle pass, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in New milford.
  • A higher percentage of residents in New milford hold a high school diploma at 21.6% compared to 11.8% in Eagle pass.
  • The percentage of residents with less than a high school education is higher in Eagle pass at 30.2%, compared to 10.0% in New milford.
  • A higher percentage of residents in New milford hold a bachelor's degree or higher at 23.4% 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.