Demographics details for Indianapolis, IN vs Mount dora, FL

Population Overview

Compare main population characteristics in Indianapolis, IN vs Mount dora, FL.

Data Indianapolis Mount dora
Population 880,621 17,160
Median Age 34.3 years 48.6 years
Median Income $59,110 $65,774
Married Families 31.0% 43.0%
Poverty Level 15% 12%
Unemployment Rate 4.4 3.2

Population Comparison: Indianapolis vs Mount dora

  • In Indianapolis, the population is higher at 880,621, compared to 17,160 in Mount dora.
  • The median age in Mount dora is higher at 48.6 years, compared to 34.3 years in Indianapolis.
  • Mount dora has a higher median income of $65,774, compared to $59,110 in Indianapolis.
  • In Mount dora, the percentage of married families is higher at 43.0%, compared to 31.0% in Indianapolis.
  • Indianapolis has a higher poverty level at 15% compared to 12% in Mount dora.
  • The unemployment rate in Indianapolis is higher at 4.4%, compared to 3.2% in Mount dora.

Demographics

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

Demographic Indianapolis Mount dora
Black 29 13
White 50 65
Asian 4 Data is updating
Hispanic 11 15
Two or More Races 6 7
American Indian Data is updating Data is updating

Demographics Comparison: Indianapolis vs Mount dora

  • A higher percentage of Black residents are in Indianapolis at 29% compared to 13% in Mount dora.
  • The percentage of White residents is higher in Mount dora at 65% compared to 50% in Indianapolis.
  • The Asian population is larger in Indianapolis at 4% compared to 0% in Mount dora.
  • Mount dora has a higher percentage of Hispanic residents at 15%, compared to 11% in Indianapolis.
  • The percentage of residents identifying as two or more races is higher in Mount dora at 7%, compared to 6% in Indianapolis.
  • The percentage of American Indian residents is the same in both Indianapolis and Mount dora at 0%.

Health Statistics

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

Health Metric Indianapolis Mount dora
Mental Health Not Good 17.3% 17.0%
Physical Health Not Good 12.1% 11.6%
Depression 25.3% 20.8%
Smoking 20.7% 20.4%
Binge Drinking 16.7% 15.0%
Obesity 37.4% 37.5%
Disability Percentage 13.0% 16.0%

Health Statistics Comparison: Indianapolis vs Mount dora

  • More residents in Indianapolis report poor mental health at 17.3% compared to 17.0% in Mount dora.
  • Depression is more prevalent in Indianapolis at 25.3% compared to 20.8% in Mount dora.
  • Smoking is more prevalent in Indianapolis at 20.7% compared to 20.4% in Mount dora.
  • Binge drinking is more common in Indianapolis at 16.7% compared to 15.0% in Mount dora.
  • Mount dora has higher obesity rates at 37.5% compared to 37.4% in Indianapolis.
  • There is a higher percentage of disabled individuals in Mount dora at 16.0% compared to 13.0% in Indianapolis.

Education Levels

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

Education Level Indianapolis Mount dora
No Schooling 1.5% (13,330) 0.3% (47)
High School Diploma 14.9% (130,921) 16.5% (2,834)
Less than High School 13.6% (120,182) 8.2% (1,409)
Bachelor's Degree and Higher 22.0% (193,312) 25.6% (4,390)

Education Levels Comparison: Indianapolis vs Mount dora

  • A higher percentage of residents in Indianapolis have no formal schooling at 1.5% compared to 0.3% in Mount dora.
  • In Mount dora, the rate of residents with high school diplomas is higher at 16.5% compared to 14.9% in Indianapolis.
  • More residents in Indianapolis have less than a high school education at 13.6% compared to 8.2% in Mount dora.
  • In Mount dora, a larger share of residents have a bachelor's degree or higher at 25.6% compared to 22.0% in Indianapolis.

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.