Demographics details for Wellington, FL vs North mankato, MN
Population Overview
Compare main population characteristics in Wellington, FL vs North mankato, MN.
Data | Wellington | North mankato |
---|---|---|
Population | 61,438 | 14,251 |
Median Age | 41.5 years | 37.4 years |
Median Income | $105,848 | $74,602 |
Married Families | 45.0% | 38.0% |
Poverty Level | 8% | 9% |
Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Wellington vs North mankato
- In Wellington, the population is higher at 61,438, compared to 14,251 in North mankato.
- Residents in Wellington have a higher median age of 41.5 years compared to 37.4 years in North mankato.
- Wellington has a higher median income of $105,848 compared to $74,602 in North mankato.
- A higher percentage of married families is found in Wellington at 45.0% compared to 38.0% in North mankato.
- The poverty level is higher in North mankato at 9%, compared to 8% in Wellington.
- The unemployment rate in Wellington is higher at 3.3%, compared to 3.2% in North mankato.
Demographics
Demographics Wellington vs North mankato provide insight into the diversity of the communities to compare.
Demographic | Wellington | North mankato |
---|---|---|
Black | 11 | 2 |
White | 42 | 85 |
Asian | 5 | 2 |
Hispanic | 27 | 4 |
Two or More Races | 15 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wellington vs North mankato
- A higher percentage of Black residents are in Wellington at 11% compared to 2% in North mankato.
- The percentage of White residents is higher in North mankato at 85% compared to 42% in Wellington.
- The Asian population is larger in Wellington at 5% compared to 2% in North mankato.
- The Hispanic community is larger in Wellington at 27% compared to 4% in North mankato.
- More residents identify as two or more races in Wellington at 15% compared to 7% in North mankato.
- The percentage of American Indian residents is the same in both Wellington and North mankato at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wellington | North mankato |
---|---|---|
Mental Health Not Good | 14.1% | 13.5% |
Physical Health Not Good | 8.5% | 8.0% |
Depression | 17.2% | 23.7% |
Smoking | 13.9% | 14.3% |
Binge Drinking | 16.7% | 21.5% |
Obesity | 24.0% | 33.4% |
Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Wellington vs North mankato
- More residents in Wellington report poor mental health at 14.1% compared to 13.5% in North mankato.
- Higher depression rates are seen in North mankato at 23.7% versus 17.2% in Wellington.
- North mankato has a higher smoking rate at 14.3% compared to 13.9% in Wellington.
- More residents engage in binge drinking in North mankato at 21.5% compared to 16.7% in Wellington.
- North mankato has higher obesity rates at 33.4% compared to 24.0% in Wellington.
- There is a higher percentage of disabled individuals in North mankato at 11.0% compared to 9.0% in Wellington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wellington | North mankato |
---|---|---|
No Schooling | 0.7% (431) | 0.1% (14) |
High School Diploma | 10.3% (6,304) | 12.6% (1,794) |
Less than High School | 6.9% (4,234) | 2.8% (405) |
Bachelor's Degree and Higher | 32.5% (19,977) | 28.8% (4,103) |
Education Levels Comparison: Wellington vs North mankato
- A higher percentage of residents in Wellington have no formal schooling at 0.7% compared to 0.1% in North mankato.
- In North mankato, the rate of residents with high school diplomas is higher at 12.6% compared to 10.3% in Wellington.
- More residents in Wellington have less than a high school education at 6.9% compared to 2.8% in North mankato.
- A higher percentage of residents in Wellington hold a bachelor's degree or higher at 32.5% compared to 28.8% in North mankato.
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.