Demographics details for Dexter, MN vs Devils lake, ND
Population Overview
Compare main population characteristics in Dexter, MN vs Devils lake, ND.
Data | Dexter | Devils lake |
---|---|---|
Population | 323 | 7,161 |
Median Age | 45.8 years | 37.1 years |
Median Income | $84,375 | $41,203 |
Married Families | 59.0% | 35.0% |
Poverty Level | 7% | 13% |
Unemployment Rate | 3.5 | 2.8 |
Population Comparison: Dexter vs Devils lake
- The population in Devils lake is higher at 7,161, compared to 323 in Dexter.
- Residents in Dexter have a higher median age of 45.8 years compared to 37.1 years in Devils lake.
- Dexter has a higher median income of $84,375 compared to $41,203 in Devils lake.
- A higher percentage of married families is found in Dexter at 59.0% compared to 35.0% in Devils lake.
- The poverty level is higher in Devils lake at 13%, compared to 7% in Dexter.
- The unemployment rate in Dexter is higher at 3.5%, compared to 2.8% in Devils lake.
Demographics
Demographics Dexter vs Devils lake provide insight into the diversity of the communities to compare.
Demographic | Dexter | Devils lake |
---|---|---|
Black | Data is updating | 1 |
White | 100 | 75 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 3 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | 17 |
Demographics Comparison: Dexter vs Devils lake
- In Devils lake, the percentage of Black residents is higher at 1% compared to 0% in Dexter.
- Dexter has a higher percentage of White residents at 100% compared to 75% in Devils lake.
- In Devils lake, the Asian population stands at 1%, greater than 0% in Dexter.
- Devils lake has a higher percentage of Hispanic residents at 3%, compared to 0% in Dexter.
- The percentage of residents identifying as two or more races is higher in Devils lake at 3%, compared to 0% in Dexter.
- In Devils lake, the percentage of American Indian residents is higher at 17%, compared to 0% in Dexter.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dexter | Devils lake |
---|---|---|
Mental Health Not Good | 15.5% | 14.3% |
Physical Health Not Good | 9.4% | 9.9% |
Depression | 22.6% | 19.9% |
Smoking | 18.5% | 17.9% |
Binge Drinking | 20.4% | 23.3% |
Obesity | 34.1% | 37.1% |
Disability Percentage | 14.0% | 22.0% |
Health Statistics Comparison: Dexter vs Devils lake
- More residents in Dexter report poor mental health at 15.5% compared to 14.3% in Devils lake.
- Depression is more prevalent in Dexter at 22.6% compared to 19.9% in Devils lake.
- Smoking is more prevalent in Dexter at 18.5% compared to 17.9% in Devils lake.
- More residents engage in binge drinking in Devils lake at 23.3% compared to 20.4% in Dexter.
- Devils lake has higher obesity rates at 37.1% compared to 34.1% in Dexter.
- There is a higher percentage of disabled individuals in Devils lake at 22.0% compared to 14.0% in Dexter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dexter | Devils lake |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.8% (54) |
High School Diploma | 31.0% (100) | 17.8% (1,278) |
Less than High School | 9.3% (30) | 9.3% (665) |
Bachelor's Degree and Higher | 7.1% (23) | 14.8% (1,062) |
Education Levels Comparison: Dexter vs Devils lake
- In Devils lake, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Dexter.
- A higher percentage of residents in Dexter hold a high school diploma at 31.0% compared to 17.8% in Devils lake.
- Both cities report the same percentage of residents with less than a high school education at 9.3%.
- In Devils lake, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 7.1% in Dexter.
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.