Demographics details for Sugar land, TX vs Mount vernon, KY

Population Overview

Compare main population characteristics in Sugar land, TX vs Mount vernon, KY.

Data Sugar land Mount vernon
Population 109,414 2,472
Median Age 42.5 years 45.4 years
Median Income $132,247 $34,550
Married Families 52.0% 36.0%
Poverty Level 6% 15%
Unemployment Rate 4.0 4.2

Population Comparison: Sugar land vs Mount vernon

  • In Sugar land, the population is higher at 109,414, compared to 2,472 in Mount vernon.
  • The median age in Mount vernon is higher at 45.4 years, compared to 42.5 years in Sugar land.
  • Sugar land has a higher median income of $132,247 compared to $34,550 in Mount vernon.
  • A higher percentage of married families is found in Sugar land at 52.0% compared to 36.0% in Mount vernon.
  • The poverty level is higher in Mount vernon at 15%, compared to 6% in Sugar land.
  • Mount vernon has a higher unemployment rate at 4.2% compared to 4.0% in Sugar land.

Demographics

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

Demographic Sugar land Mount vernon
Black 7 Data is updating
White 33 94
Asian 39 Data is updating
Hispanic 13 Data is updating
Two or More Races 8 6
American Indian Data is updating Data is updating

Demographics Comparison: Sugar land vs Mount vernon

  • A higher percentage of Black residents are in Sugar land at 7% compared to 0% in Mount vernon.
  • The percentage of White residents is higher in Mount vernon at 94% compared to 33% in Sugar land.
  • The Asian population is larger in Sugar land at 39% compared to 0% in Mount vernon.
  • The Hispanic community is larger in Sugar land at 13% compared to 0% in Mount vernon.
  • More residents identify as two or more races in Sugar land at 8% compared to 6% in Mount vernon.
  • The percentage of American Indian residents is the same in both Sugar land and Mount vernon at 0%.

Health Statistics

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

Health Metric Sugar land Mount vernon
Mental Health Not Good 12.5% 21.3%
Physical Health Not Good 7.4% 16.3%
Depression 16.9% 30.7%
Smoking 9.6% 26.1%
Binge Drinking 16.0% 14.3%
Obesity 25.0% 43.2%
Disability Percentage 7.0% 23.0%

Health Statistics Comparison: Sugar land vs Mount vernon

  • In Mount vernon, a higher percentage report poor mental health at 21.3% compared to 12.5% in Sugar land.
  • Higher depression rates are seen in Mount vernon at 30.7% versus 16.9% in Sugar land.
  • Mount vernon has a higher smoking rate at 26.1% compared to 9.6% in Sugar land.
  • Binge drinking is more common in Sugar land at 16.0% compared to 14.3% in Mount vernon.
  • Mount vernon has higher obesity rates at 43.2% compared to 25.0% in Sugar land.
  • There is a higher percentage of disabled individuals in Mount vernon at 23.0% compared to 7.0% in Sugar land.

Education Levels

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

Education Level Sugar land Mount vernon
No Schooling 1.2% (1,314) 0.5% (12)
High School Diploma 7.3% (7,972) 17.4% (431)
Less than High School 4.3% (4,753) 32.8% (810)
Bachelor's Degree and Higher 42.8% (46,851) 7.4% (183)

Education Levels Comparison: Sugar land vs Mount vernon

  • A higher percentage of residents in Sugar land have no formal schooling at 1.2% compared to 0.5% in Mount vernon.
  • In Mount vernon, the rate of residents with high school diplomas is higher at 17.4% compared to 7.3% in Sugar land.
  • The percentage of residents with less than a high school education is higher in Mount vernon at 32.8%, compared to 4.3% in Sugar land.
  • A higher percentage of residents in Sugar land hold a bachelor's degree or higher at 42.8% compared to 7.4% in Mount vernon.

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.