Demographics details for Pachuta, MS vs Kendallville, IN

Population Overview

Compare main population characteristics in Pachuta, MS vs Kendallville, IN.

Data Pachuta Kendallville
Population 199 10,222
Median Age 53.0 years 41.9 years
Median Income $31,964 $59,971
Married Families 36.0% 36.0%
Poverty Level 21% 11%
Unemployment Rate 5.0 3.5

Population Comparison: Pachuta vs Kendallville

  • The population in Kendallville is higher at 10,222, compared to 199 in Pachuta.
  • Residents in Pachuta have a higher median age of 53.0 years compared to 41.9 years in Kendallville.
  • Kendallville has a higher median income of $59,971, compared to $31,964 in Pachuta.
  • The percentage of married families is the same in both Pachuta and Kendallville at 36.0%.
  • Pachuta has a higher poverty level at 21% compared to 11% in Kendallville.
  • The unemployment rate in Pachuta is higher at 5.0%, compared to 3.5% in Kendallville.

Demographics

Demographics Pachuta vs Kendallville provide insight into the diversity of the communities to compare.

Demographic Pachuta Kendallville
Black 39 Data is updating
White 55 87
Asian Data is updating 2
Hispanic Data is updating 6
Two or More Races 6 5
American Indian Data is updating Data is updating

Demographics Comparison: Pachuta vs Kendallville

  • A higher percentage of Black residents are in Pachuta at 39% compared to 0% in Kendallville.
  • The percentage of White residents is higher in Kendallville at 87% compared to 55% in Pachuta.
  • In Kendallville, the Asian population stands at 2%, greater than 0% in Pachuta.
  • Kendallville has a higher percentage of Hispanic residents at 6%, compared to 0% in Pachuta.
  • More residents identify as two or more races in Pachuta at 6% compared to 5% in Kendallville.
  • The percentage of American Indian residents is the same in both Pachuta and Kendallville at 0%.

Health Statistics

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

Health Metric Pachuta Kendallville
Mental Health Not Good 19.9% 18.1%
Physical Health Not Good 15.4% 12.2%
Depression 24.7% 28.1%
Smoking 25.8% 21.5%
Binge Drinking 12.9% 16.9%
Obesity 47.3% 40.8%
Disability Percentage 36.0% 17.0%

Health Statistics Comparison: Pachuta vs Kendallville

  • More residents in Pachuta report poor mental health at 19.9% compared to 18.1% in Kendallville.
  • Higher depression rates are seen in Kendallville at 28.1% versus 24.7% in Pachuta.
  • Smoking is more prevalent in Pachuta at 25.8% compared to 21.5% in Kendallville.
  • More residents engage in binge drinking in Kendallville at 16.9% compared to 12.9% in Pachuta.
  • Obesity rates are higher in Pachuta at 47.3% compared to 40.8% in Kendallville.
  • Disability percentages are higher in Pachuta at 36.0% compared to 17.0% in Kendallville.

Education Levels

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

Education Level Pachuta Kendallville
No Schooling 0.0% (Data is updating) 2.4% (249)
High School Diploma 16.1% (32) 20.1% (2,055)
Less than High School 24.6% (49) 21.8% (2,225)
Bachelor's Degree and Higher 8.0% (16) 7.7% (790)

Education Levels Comparison: Pachuta vs Kendallville

  • In Kendallville, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Pachuta.
  • In Kendallville, the rate of residents with high school diplomas is higher at 20.1% compared to 16.1% in Pachuta.
  • More residents in Pachuta have less than a high school education at 24.6% compared to 21.8% in Kendallville.
  • A higher percentage of residents in Pachuta hold a bachelor's degree or higher at 8.0% compared to 7.7% in Kendallville.

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.