Demographics details for Paden city, WV vs Malmo, NE
Population Overview
Compare main population characteristics in Paden city, WV vs Malmo, NE.
| Data | Paden city | Malmo |
|---|---|---|
| Population | 2,451 | 96 |
| Median Age | 41.2 years | 39.5 years |
| Median Income | $53,833 | $72,500 |
| Married Families | 49.0% | 83.0% |
| Poverty Level | 16% | Data is updating |
| Unemployment Rate | 5.3 | 3.2 |
Population Comparison: Paden city vs Malmo
- In Paden city, the population is higher at 2,451, compared to 96 in Malmo.
- Residents in Paden city have a higher median age of 41.2 years compared to 39.5 years in Malmo.
- Malmo has a higher median income of $72,500, compared to $53,833 in Paden city.
- In Malmo, the percentage of married families is higher at 83.0%, compared to 49.0% in Paden city.
- Paden city has a higher poverty level at 16% compared to 0% in Malmo.
- The unemployment rate in Paden city is higher at 5.3%, compared to 3.2% in Malmo.
Demographics
Demographics Paden city vs Malmo provide insight into the diversity of the communities to compare.
| Demographic | Paden city | Malmo |
|---|---|---|
| Black | Data is updating | 3 |
| White | 98 | 57 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 20 |
| Two or More Races | 2 | 20 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Paden city vs Malmo
- In Malmo, the percentage of Black residents is higher at 3% compared to 0% in Paden city.
- Paden city has a higher percentage of White residents at 98% compared to 57% in Malmo.
- Both Paden city and Malmo have the same percentage of Asian residents at 0%.
- Malmo has a higher percentage of Hispanic residents at 20%, compared to 0% in Paden city.
- The percentage of residents identifying as two or more races is higher in Malmo at 20%, compared to 2% in Paden city.
- The percentage of American Indian residents is the same in both Paden city and Malmo at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paden city | Malmo |
|---|---|---|
| Mental Health Not Good | 20.6% | 13.2% |
| Physical Health Not Good | 14.1% | 8.8% |
| Depression | 28.9% | 17.3% |
| Smoking | 22.6% | 15.2% |
| Binge Drinking | 14.5% | 22.8% |
| Obesity | 40.7% | 35.6% |
| Disability Percentage | 21.0% | 5.0% |
Health Statistics Comparison: Paden city vs Malmo
- More residents in Paden city report poor mental health at 20.6% compared to 13.2% in Malmo.
- Depression is more prevalent in Paden city at 28.9% compared to 17.3% in Malmo.
- Smoking is more prevalent in Paden city at 22.6% compared to 15.2% in Malmo.
- More residents engage in binge drinking in Malmo at 22.8% compared to 14.5% in Paden city.
- Obesity rates are higher in Paden city at 40.7% compared to 35.6% in Malmo.
- Disability percentages are higher in Paden city at 21.0% compared to 5.0% in Malmo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paden city | Malmo |
|---|---|---|
| No Schooling | 0.2% (4) | 0.0% (Data is updating) |
| High School Diploma | 27.2% (666) | 25.0% (24) |
| Less than High School | 14.0% (344) | 6.2% (6) |
| Bachelor's Degree and Higher | 11.9% (291) | 11.5% (11) |
Education Levels Comparison: Paden city vs Malmo
- A higher percentage of residents in Paden city have no formal schooling at 0.2% compared to 0.0% in Malmo.
- A higher percentage of residents in Paden city hold a high school diploma at 27.2% compared to 25.0% in Malmo.
- More residents in Paden city have less than a high school education at 14.0% compared to 6.2% in Malmo.
- A higher percentage of residents in Paden city hold a bachelor's degree or higher at 11.9% compared to 11.5% in Malmo.
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.