Demographics details for Bozrah, CT vs Sugar land, TX

Population Overview

Compare main population characteristics in Bozrah, CT vs Sugar land, TX.

Data Bozrah Sugar land
Population 2,537 109,414
Median Age 42.0 years 42.5 years
Median Income $78,000 $132,247
Married Families 65.0% 52.0%
Poverty Level 5% 6%
Unemployment Rate 2.4 4.0

Population Comparison: Bozrah vs Sugar land

  • The population in Sugar land is higher at 109,414, compared to 2,537 in Bozrah.
  • The median age in Sugar land is higher at 42.5 years, compared to 42.0 years in Bozrah.
  • Sugar land has a higher median income of $132,247, compared to $78,000 in Bozrah.
  • A higher percentage of married families is found in Bozrah at 65.0% compared to 52.0% in Sugar land.
  • The poverty level is higher in Sugar land at 6%, compared to 5% in Bozrah.
  • Sugar land has a higher unemployment rate at 4.0% compared to 2.4% in Bozrah.

Demographics

Demographics Bozrah vs Sugar land provide insight into the diversity of the communities to compare.

Demographic Bozrah Sugar land
Black 2 7
White 90 33
Asian 2 39
Hispanic 5 13
Two or More Races 1 8
American Indian Data is updating Data is updating

Demographics Comparison: Bozrah vs Sugar land

  • In Sugar land, the percentage of Black residents is higher at 7% compared to 2% in Bozrah.
  • Bozrah has a higher percentage of White residents at 90% compared to 33% in Sugar land.
  • In Sugar land, the Asian population stands at 39%, greater than 2% in Bozrah.
  • Sugar land has a higher percentage of Hispanic residents at 13%, compared to 5% in Bozrah.
  • The percentage of residents identifying as two or more races is higher in Sugar land at 8%, compared to 1% in Bozrah.
  • The percentage of American Indian residents is the same in both Bozrah and Sugar land at 0%.

Health Statistics

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

Health Metric Bozrah Sugar land
Mental Health Not Good Data is updating% 12.5%
Physical Health Not Good Data is updating% 7.4%
Depression Data is updating% 16.9%
Smoking Data is updating% 9.6%
Binge Drinking Data is updating% 16.0%
Obesity Data is updating% 25.0%
Disability Percentage Data is updating% 7.0%

Health Statistics Comparison: Bozrah vs Sugar land

  • In Sugar land, a higher percentage report poor mental health at 12.5% compared to 0.0% in Bozrah.
  • Higher depression rates are seen in Sugar land at 16.9% versus 0.0% in Bozrah.
  • Sugar land has a higher smoking rate at 9.6% compared to 0.0% in Bozrah.
  • More residents engage in binge drinking in Sugar land at 16.0% compared to 0.0% in Bozrah.
  • Sugar land has higher obesity rates at 25.0% compared to 0.0% in Bozrah.
  • There is a higher percentage of disabled individuals in Sugar land at 7.0% compared to 0.0% in Bozrah.

Education Levels

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

Education Level Bozrah Sugar land
No Schooling 0.0% (Data is updating) 1.2% (1,314)
High School Diploma 0.0% (Data is updating) 7.3% (7,972)
Less than High School 0.0% (Data is updating) 4.3% (4,753)
Bachelor's Degree and Higher 0.0% (Data is updating) 42.8% (46,851)

Education Levels Comparison: Bozrah vs Sugar land

  • In Sugar land, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Bozrah.
  • In Sugar land, the rate of residents with high school diplomas is higher at 7.3% compared to 0.0% in Bozrah.
  • The percentage of residents with less than a high school education is higher in Sugar land at 4.3%, compared to 0.0% in Bozrah.
  • In Sugar land, a larger share of residents have a bachelor's degree or higher at 42.8% compared to 0.0% in Bozrah.

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.