Demographics details for Washington, NC vs Malmo, NE
Population Overview
Compare main population characteristics in Washington, NC vs Malmo, NE.
| Data | Washington | Malmo |
|---|---|---|
| Population | 10,828 | 96 |
| Median Age | 48.0 years | 39.5 years |
| Median Income | $38,927 | $72,500 |
| Married Families | 34.0% | 83.0% |
| Poverty Level | 16% | Data is updating |
| Unemployment Rate | 4.8 | 3.2 |
Population Comparison: Washington vs Malmo
- In Washington, the population is higher at 10,828, compared to 96 in Malmo.
- Residents in Washington have a higher median age of 48.0 years compared to 39.5 years in Malmo.
- Malmo has a higher median income of $72,500, compared to $38,927 in Washington.
- In Malmo, the percentage of married families is higher at 83.0%, compared to 34.0% in Washington.
- Washington has a higher poverty level at 16% compared to 0% in Malmo.
- The unemployment rate in Washington is higher at 4.8%, compared to 3.2% in Malmo.
Demographics
Demographics Washington vs Malmo provide insight into the diversity of the communities to compare.
| Demographic | Washington | Malmo |
|---|---|---|
| Black | 49 | 3 |
| White | 41 | 57 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 20 |
| Two or More Races | 3 | 20 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Washington vs Malmo
- A higher percentage of Black residents are in Washington at 49% compared to 3% in Malmo.
- The percentage of White residents is higher in Malmo at 57% compared to 41% in Washington.
- Both Washington and Malmo have the same percentage of Asian residents at 0%.
- Malmo has a higher percentage of Hispanic residents at 20%, compared to 6% in Washington.
- The percentage of residents identifying as two or more races is higher in Malmo at 20%, compared to 3% in Washington.
- A greater percentage of American Indian residents live in Washington at 1% compared to 0% in Malmo.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Malmo |
|---|---|---|
| Mental Health Not Good | 18.3% | 13.2% |
| Physical Health Not Good | 13.8% | 8.8% |
| Depression | 22.8% | 17.3% |
| Smoking | 21.9% | 15.2% |
| Binge Drinking | 14.7% | 22.8% |
| Obesity | 43.3% | 35.6% |
| Disability Percentage | 24.0% | 5.0% |
Health Statistics Comparison: Washington vs Malmo
- More residents in Washington report poor mental health at 18.3% compared to 13.2% in Malmo.
- Depression is more prevalent in Washington at 22.8% compared to 17.3% in Malmo.
- Smoking is more prevalent in Washington at 21.9% compared to 15.2% in Malmo.
- More residents engage in binge drinking in Malmo at 22.8% compared to 14.7% in Washington.
- Obesity rates are higher in Washington at 43.3% compared to 35.6% in Malmo.
- Disability percentages are higher in Washington at 24.0% 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 | Washington | Malmo |
|---|---|---|
| No Schooling | 1.2% (128) | 0.0% (Data is updating) |
| High School Diploma | 19.0% (2,058) | 25.0% (24) |
| Less than High School | 13.7% (1,487) | 6.2% (6) |
| Bachelor's Degree and Higher | 10.3% (1,118) | 11.5% (11) |
Education Levels Comparison: Washington vs Malmo
- A higher percentage of residents in Washington have no formal schooling at 1.2% compared to 0.0% in Malmo.
- In Malmo, the rate of residents with high school diplomas is higher at 25.0% compared to 19.0% in Washington.
- More residents in Washington have less than a high school education at 13.7% compared to 6.2% in Malmo.
- In Malmo, a larger share of residents have a bachelor's degree or higher at 11.5% compared to 10.3% in Washington.
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.