Demographics details for Essex, MD vs Zumbro falls, MN
Population Overview
Compare main population characteristics in Essex, MD vs Zumbro falls, MN.
| Data | Essex | Zumbro falls |
|---|---|---|
| Population | 40,842 | 155 |
| Median Age | 40.4 years | 36.6 years |
| Median Income | $67,580 | $84,750 |
| Married Families | 34.0% | 46.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Essex vs Zumbro falls
- In Essex, the population is higher at 40,842, compared to 155 in Zumbro falls.
- Residents in Essex have a higher median age of 40.4 years compared to 36.6 years in Zumbro falls.
- Zumbro falls has a higher median income of $84,750, compared to $67,580 in Essex.
- In Zumbro falls, the percentage of married families is higher at 46.0%, compared to 34.0% in Essex.
- Essex has a higher poverty level at 10% compared to 0% in Zumbro falls.
- The unemployment rate in Essex is higher at 4.5%, compared to 2.5% in Zumbro falls.
Demographics
Demographics Essex vs Zumbro falls provide insight into the diversity of the communities to compare.
| Demographic | Essex | Zumbro falls |
|---|---|---|
| Black | 32 | Data is updating |
| White | 55 | 99 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 6 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Essex vs Zumbro falls
- A higher percentage of Black residents are in Essex at 32% compared to 0% in Zumbro falls.
- The percentage of White residents is higher in Zumbro falls at 99% compared to 55% in Essex.
- The Asian population is larger in Essex at 2% compared to 0% in Zumbro falls.
- The Hispanic community is larger in Essex at 5% compared to 0% in Zumbro falls.
- More residents identify as two or more races in Essex at 6% compared to 1% in Zumbro falls.
- The percentage of American Indian residents is the same in both Essex and Zumbro falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Essex | Zumbro falls |
|---|---|---|
| Mental Health Not Good | 18.3% | 14.4% |
| Physical Health Not Good | 11.4% | 8.8% |
| Depression | 24.3% | 23.3% |
| Smoking | 17.9% | 17.2% |
| Binge Drinking | 14.8% | 21.7% |
| Obesity | 39.8% | 36.5% |
| Disability Percentage | 14.0% | 5.0% |
Health Statistics Comparison: Essex vs Zumbro falls
- More residents in Essex report poor mental health at 18.3% compared to 14.4% in Zumbro falls.
- Depression is more prevalent in Essex at 24.3% compared to 23.3% in Zumbro falls.
- Smoking is more prevalent in Essex at 17.9% compared to 17.2% in Zumbro falls.
- More residents engage in binge drinking in Zumbro falls at 21.7% compared to 14.8% in Essex.
- Obesity rates are higher in Essex at 39.8% compared to 36.5% in Zumbro falls.
- Disability percentages are higher in Essex at 14.0% compared to 5.0% in Zumbro falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Essex | Zumbro falls |
|---|---|---|
| No Schooling | 1.8% (726) | 0.0% (Data is updating) |
| High School Diploma | 24.6% (10,043) | 17.4% (27) |
| Less than High School | 17.3% (7,057) | 1.3% (2) |
| Bachelor's Degree and Higher | 12.0% (4,908) | 21.9% (34) |
Education Levels Comparison: Essex vs Zumbro falls
- A higher percentage of residents in Essex have no formal schooling at 1.8% compared to 0.0% in Zumbro falls.
- A higher percentage of residents in Essex hold a high school diploma at 24.6% compared to 17.4% in Zumbro falls.
- More residents in Essex have less than a high school education at 17.3% compared to 1.3% in Zumbro falls.
- In Zumbro falls, a larger share of residents have a bachelor's degree or higher at 21.9% compared to 12.0% in Essex.
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.