Demographics details for Mount pleasant, SC vs Northfield, MN

Population Overview

Compare main population characteristics in Mount pleasant, SC vs Northfield, MN.

Data Mount pleasant Northfield
Population 94,545 20,924
Median Age 42.4 years 29.4 years
Median Income $115,167 $83,125
Married Families 47.0% 32.0%
Poverty Level 5% 6%
Unemployment Rate 3.2 2.3

Population Comparison: Mount pleasant vs Northfield

  • In Mount pleasant, the population is higher at 94,545, compared to 20,924 in Northfield.
  • Residents in Mount pleasant have a higher median age of 42.4 years compared to 29.4 years in Northfield.
  • Mount pleasant has a higher median income of $115,167 compared to $83,125 in Northfield.
  • A higher percentage of married families is found in Mount pleasant at 47.0% compared to 32.0% in Northfield.
  • The poverty level is higher in Northfield at 6%, compared to 5% in Mount pleasant.
  • The unemployment rate in Mount pleasant is higher at 3.2%, compared to 2.3% in Northfield.

Demographics

Demographics Mount pleasant vs Northfield provide insight into the diversity of the communities to compare.

Demographic Mount pleasant Northfield
Black 4 2
White 90 77
Asian 2 4
Hispanic 2 9
Two or More Races 2 7
American Indian Data is updating 1

Demographics Comparison: Mount pleasant vs Northfield

  • A higher percentage of Black residents are in Mount pleasant at 4% compared to 2% in Northfield.
  • Mount pleasant has a higher percentage of White residents at 90% compared to 77% in Northfield.
  • In Northfield, the Asian population stands at 4%, greater than 2% in Mount pleasant.
  • Northfield has a higher percentage of Hispanic residents at 9%, compared to 2% in Mount pleasant.
  • The percentage of residents identifying as two or more races is higher in Northfield at 7%, compared to 2% in Mount pleasant.
  • In Northfield, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount pleasant.

Health Statistics

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

Health Metric Mount pleasant Northfield
Mental Health Not Good 13.7% 13.6%
Physical Health Not Good 7.6% 8.3%
Depression 19.5% 20.8%
Smoking 9.8% 14.4%
Binge Drinking 25.5% 19.1%
Obesity 26.9% 35.3%
Disability Percentage 6.0% 6.0%

Health Statistics Comparison: Mount pleasant vs Northfield

  • More residents in Mount pleasant report poor mental health at 13.7% compared to 13.6% in Northfield.
  • Higher depression rates are seen in Northfield at 20.8% versus 19.5% in Mount pleasant.
  • Northfield has a higher smoking rate at 14.4% compared to 9.8% in Mount pleasant.
  • Binge drinking is more common in Mount pleasant at 25.5% compared to 19.1% in Northfield.
  • Northfield has higher obesity rates at 35.3% compared to 26.9% in Mount pleasant.
  • Disability percentages are the same in both Mount pleasant and Northfield at 6.0%.

Education Levels

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

Education Level Mount pleasant Northfield
No Schooling 0.3% (259) 0.2% (44)
High School Diploma 5.8% (5,499) 8.7% (1,816)
Less than High School 2.7% (2,577) 3.1% (646)
Bachelor's Degree and Higher 46.2% (43,679) 27.3% (5,717)

Education Levels Comparison: Mount pleasant vs Northfield

  • A higher percentage of residents in Mount pleasant have no formal schooling at 0.3% compared to 0.2% in Northfield.
  • In Northfield, the rate of residents with high school diplomas is higher at 8.7% compared to 5.8% in Mount pleasant.
  • The percentage of residents with less than a high school education is higher in Northfield at 3.1%, compared to 2.7% in Mount pleasant.
  • A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 27.3% in Northfield.

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.