Demographics details for Mound valley, KS vs Mount juliet, TN

Population Overview

Compare main population characteristics in Mound valley, KS vs Mount juliet, TN.

Data Mound valley Mount juliet
Population 348 42,548
Median Age 42.5 years 39.2 years
Median Income $52,500 $108,066
Married Families 32.0% 45.0%
Poverty Level 12% 5%
Unemployment Rate 3.5 2.8

Population Comparison: Mound valley vs Mount juliet

  • The population in Mount juliet is higher at 42,548, compared to 348 in Mound valley.
  • Residents in Mound valley have a higher median age of 42.5 years compared to 39.2 years in Mount juliet.
  • Mount juliet has a higher median income of $108,066, compared to $52,500 in Mound valley.
  • In Mount juliet, the percentage of married families is higher at 45.0%, compared to 32.0% in Mound valley.
  • Mound valley has a higher poverty level at 12% compared to 5% in Mount juliet.
  • The unemployment rate in Mound valley is higher at 3.5%, compared to 2.8% in Mount juliet.

Demographics

Demographics Mound valley vs Mount juliet provide insight into the diversity of the communities to compare.

Demographic Mound valley Mount juliet
Black Data is updating 7
White 85 79
Asian Data is updating 4
Hispanic 5 6
Two or More Races 9 4
American Indian 1 Data is updating

Demographics Comparison: Mound valley vs Mount juliet

  • In Mount juliet, the percentage of Black residents is higher at 7% compared to 0% in Mound valley.
  • Mound valley has a higher percentage of White residents at 85% compared to 79% in Mount juliet.
  • In Mount juliet, the Asian population stands at 4%, greater than 0% in Mound valley.
  • Mount juliet has a higher percentage of Hispanic residents at 6%, compared to 5% in Mound valley.
  • More residents identify as two or more races in Mound valley at 9% compared to 4% in Mount juliet.
  • A greater percentage of American Indian residents live in Mound valley at 1% compared to 0% in Mount juliet.

Health Statistics

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

Health Metric Mound valley Mount juliet
Mental Health Not Good 17.1% 16.0%
Physical Health Not Good 11.1% 10.0%
Depression 21.9% 25.7%
Smoking 19.8% 15.2%
Binge Drinking 19.1% 16.8%
Obesity 41.6% 29.9%
Disability Percentage 27.0% 7.0%

Health Statistics Comparison: Mound valley vs Mount juliet

  • More residents in Mound valley report poor mental health at 17.1% compared to 16.0% in Mount juliet.
  • Higher depression rates are seen in Mount juliet at 25.7% versus 21.9% in Mound valley.
  • Smoking is more prevalent in Mound valley at 19.8% compared to 15.2% in Mount juliet.
  • Binge drinking is more common in Mound valley at 19.1% compared to 16.8% in Mount juliet.
  • Obesity rates are higher in Mound valley at 41.6% compared to 29.9% in Mount juliet.
  • Disability percentages are higher in Mound valley at 27.0% compared to 7.0% in Mount juliet.

Education Levels

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

Education Level Mound valley Mount juliet
No Schooling 0.3% (1) 0.4% (173)
High School Diploma 14.1% (49) 10.4% (4,408)
Less than High School 10.3% (36) 3.9% (1,653)
Bachelor's Degree and Higher 6.6% (23) 29.4% (12,510)

Education Levels Comparison: Mound valley vs Mount juliet

  • In Mount juliet, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Mound valley.
  • A higher percentage of residents in Mound valley hold a high school diploma at 14.1% compared to 10.4% in Mount juliet.
  • More residents in Mound valley have less than a high school education at 10.3% compared to 3.9% in Mount juliet.
  • In Mount juliet, a larger share of residents have a bachelor's degree or higher at 29.4% compared to 6.6% in Mound valley.

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.