Demographics details for Sacred heart, MN vs Wilmington, NC

Population Overview

Compare main population characteristics in Sacred heart, MN vs Wilmington, NC.

Data Sacred heart Wilmington
Population 498 120,324
Median Age 53.5 years 37.6 years
Median Income $59,107 $58,908
Married Families 41.0% 32.0%
Poverty Level 6% 12%
Unemployment Rate 4.1 3.7

Population Comparison: Sacred heart vs Wilmington

  • The population in Wilmington is higher at 120,324, compared to 498 in Sacred heart.
  • Residents in Sacred heart have a higher median age of 53.5 years compared to 37.6 years in Wilmington.
  • Sacred heart has a higher median income of $59,107 compared to $58,908 in Wilmington.
  • A higher percentage of married families is found in Sacred heart at 41.0% compared to 32.0% in Wilmington.
  • The poverty level is higher in Wilmington at 12%, compared to 6% in Sacred heart.
  • The unemployment rate in Sacred heart is higher at 4.1%, compared to 3.7% in Wilmington.

Demographics

Demographics Sacred heart vs Wilmington provide insight into the diversity of the communities to compare.

Demographic Sacred heart Wilmington
Black Data is updating 16
White 87 71
Asian Data is updating 1
Hispanic 13 7
Two or More Races Data is updating 5
American Indian Data is updating Data is updating

Demographics Comparison: Sacred heart vs Wilmington

  • In Wilmington, the percentage of Black residents is higher at 16% compared to 0% in Sacred heart.
  • Sacred heart has a higher percentage of White residents at 87% compared to 71% in Wilmington.
  • In Wilmington, the Asian population stands at 1%, greater than 0% in Sacred heart.
  • The Hispanic community is larger in Sacred heart at 13% compared to 7% in Wilmington.
  • The percentage of residents identifying as two or more races is higher in Wilmington at 5%, compared to 0% in Sacred heart.
  • The percentage of American Indian residents is the same in both Sacred heart and Wilmington at 0%.

Health Statistics

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

Health Metric Sacred heart Wilmington
Mental Health Not Good 15.0% 16.9%
Physical Health Not Good 9.6% 11.0%
Depression 23.3% 25.0%
Smoking 17.7% 16.5%
Binge Drinking 19.9% 18.5%
Obesity 37.6% 33.2%
Disability Percentage 25.0% 12.0%

Health Statistics Comparison: Sacred heart vs Wilmington

  • In Wilmington, a higher percentage report poor mental health at 16.9% compared to 15.0% in Sacred heart.
  • Higher depression rates are seen in Wilmington at 25.0% versus 23.3% in Sacred heart.
  • Smoking is more prevalent in Sacred heart at 17.7% compared to 16.5% in Wilmington.
  • Binge drinking is more common in Sacred heart at 19.9% compared to 18.5% in Wilmington.
  • Obesity rates are higher in Sacred heart at 37.6% compared to 33.2% in Wilmington.
  • Disability percentages are higher in Sacred heart at 25.0% compared to 12.0% in Wilmington.

Education Levels

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

Education Level Sacred heart Wilmington
No Schooling 0.0% (Data is updating) 0.5% (560)
High School Diploma 28.1% (140) 10.5% (12,679)
Less than High School 28.5% (142) 7.1% (8,513)
Bachelor's Degree and Higher 13.3% (66) 28.5% (34,319)

Education Levels Comparison: Sacred heart vs Wilmington

  • In Wilmington, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Sacred heart.
  • A higher percentage of residents in Sacred heart hold a high school diploma at 28.1% compared to 10.5% in Wilmington.
  • More residents in Sacred heart have less than a high school education at 28.5% compared to 7.1% in Wilmington.
  • In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 13.3% in Sacred heart.

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.