Demographics details for Prairie village, KS vs Mount dora, FL

Population Overview

Compare main population characteristics in Prairie village, KS vs Mount dora, FL.

Data Prairie village Mount dora
Population 22,947 17,160
Median Age 40.0 years 48.6 years
Median Income $99,691 $65,774
Married Families 46.0% 43.0%
Poverty Level 5% 12%
Unemployment Rate 2.5 3.2

Population Comparison: Prairie village vs Mount dora

  • In Prairie village, the population is higher at 22,947, compared to 17,160 in Mount dora.
  • The median age in Mount dora is higher at 48.6 years, compared to 40.0 years in Prairie village.
  • Prairie village has a higher median income of $99,691 compared to $65,774 in Mount dora.
  • A higher percentage of married families is found in Prairie village at 46.0% compared to 43.0% in Mount dora.
  • The poverty level is higher in Mount dora at 12%, compared to 5% in Prairie village.
  • Mount dora has a higher unemployment rate at 3.2% compared to 2.5% in Prairie village.

Demographics

Demographics Prairie village vs Mount dora provide insight into the diversity of the communities to compare.

Demographic Prairie village Mount dora
Black 1 13
White 88 65
Asian 1 Data is updating
Hispanic 5 15
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Prairie village vs Mount dora

  • In Mount dora, the percentage of Black residents is higher at 13% compared to 1% in Prairie village.
  • Prairie village has a higher percentage of White residents at 88% compared to 65% in Mount dora.
  • The Asian population is larger in Prairie village at 1% compared to 0% in Mount dora.
  • Mount dora has a higher percentage of Hispanic residents at 15%, compared to 5% in Prairie village.
  • The percentage of residents identifying as two or more races is higher in Mount dora at 7%, compared to 5% in Prairie village.
  • The percentage of American Indian residents is the same in both Prairie village and Mount dora at 0%.

Health Statistics

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

Health Metric Prairie village Mount dora
Mental Health Not Good 11.5% 17.0%
Physical Health Not Good 6.0% 11.6%
Depression 18.6% 20.8%
Smoking 7.8% 20.4%
Binge Drinking 20.8% 15.0%
Obesity 27.3% 37.5%
Disability Percentage 8.0% 16.0%

Health Statistics Comparison: Prairie village vs Mount dora

  • In Mount dora, a higher percentage report poor mental health at 17.0% compared to 11.5% in Prairie village.
  • Higher depression rates are seen in Mount dora at 20.8% versus 18.6% in Prairie village.
  • Mount dora has a higher smoking rate at 20.4% compared to 7.8% in Prairie village.
  • Binge drinking is more common in Prairie village at 20.8% compared to 15.0% in Mount dora.
  • Mount dora has higher obesity rates at 37.5% compared to 27.3% in Prairie village.
  • There is a higher percentage of disabled individuals in Mount dora at 16.0% compared to 8.0% in Prairie village.

Education Levels

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

Education Level Prairie village Mount dora
No Schooling 0.2% (47) 0.3% (47)
High School Diploma 5.0% (1,136) 16.5% (2,834)
Less than High School 2.2% (515) 8.2% (1,409)
Bachelor's Degree and Higher 51.7% (11,869) 25.6% (4,390)

Education Levels Comparison: Prairie village vs Mount dora

  • In Mount dora, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Prairie village.
  • In Mount dora, the rate of residents with high school diplomas is higher at 16.5% compared to 5.0% in Prairie village.
  • The percentage of residents with less than a high school education is higher in Mount dora at 8.2%, compared to 2.2% in Prairie village.
  • A higher percentage of residents in Prairie village hold a bachelor's degree or higher at 51.7% compared to 25.6% in Mount dora.

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.