Demographics details for Malmo, NE vs Augusta, KY
Population Overview
Compare main population characteristics in Malmo, NE vs Augusta, KY.
| Data | Malmo | Augusta |
|---|---|---|
| Population | 96 | 1,098 |
| Median Age | 39.5 years | 36.4 years |
| Median Income | $72,500 | $50,135 |
| Married Families | 83.0% | 41.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Malmo vs Augusta
- The population in Augusta is higher at 1,098, compared to 96 in Malmo.
- Residents in Malmo have a higher median age of 39.5 years compared to 36.4 years in Augusta.
- Malmo has a higher median income of $72,500 compared to $50,135 in Augusta.
- A higher percentage of married families is found in Malmo at 83.0% compared to 41.0% in Augusta.
- The poverty level is higher in Augusta at 10%, compared to 0% in Malmo.
- Augusta has a higher unemployment rate at 4.5% compared to 3.2% in Malmo.
Demographics
Demographics Malmo vs Augusta provide insight into the diversity of the communities to compare.
| Demographic | Malmo | Augusta |
|---|---|---|
| Black | 3 | 2 |
| White | 57 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 20 | Data is updating |
| Two or More Races | 20 | Data is updating |
| American Indian | Data is updating | 12 |
Demographics Comparison: Malmo vs Augusta
- A higher percentage of Black residents are in Malmo at 3% compared to 2% in Augusta.
- The percentage of White residents is higher in Augusta at 86% compared to 57% in Malmo.
- Both Malmo and Augusta have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Malmo at 20% compared to 0% in Augusta.
- More residents identify as two or more races in Malmo at 20% compared to 0% in Augusta.
- In Augusta, the percentage of American Indian residents is higher at 12%, compared to 0% in Malmo.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Malmo | Augusta |
|---|---|---|
| Mental Health Not Good | 13.2% | 20.0% |
| Physical Health Not Good | 8.8% | 14.8% |
| Depression | 17.3% | 28.9% |
| Smoking | 15.2% | 24.3% |
| Binge Drinking | 22.8% | 15.3% |
| Obesity | 35.6% | 38.1% |
| Disability Percentage | 5.0% | 24.0% |
Health Statistics Comparison: Malmo vs Augusta
- In Augusta, a higher percentage report poor mental health at 20.0% compared to 13.2% in Malmo.
- Higher depression rates are seen in Augusta at 28.9% versus 17.3% in Malmo.
- Augusta has a higher smoking rate at 24.3% compared to 15.2% in Malmo.
- Binge drinking is more common in Malmo at 22.8% compared to 15.3% in Augusta.
- Augusta has higher obesity rates at 38.1% compared to 35.6% in Malmo.
- There is a higher percentage of disabled individuals in Augusta 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 | Malmo | Augusta |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (5) |
| High School Diploma | 25.0% (24) | 33.2% (365) |
| Less than High School | 6.2% (6) | 18.9% (208) |
| Bachelor's Degree and Higher | 11.5% (11) | 24.3% (267) |
Education Levels Comparison: Malmo vs Augusta
- In Augusta, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Malmo.
- In Augusta, the rate of residents with high school diplomas is higher at 33.2% compared to 25.0% in Malmo.
- The percentage of residents with less than a high school education is higher in Augusta at 18.9%, compared to 6.2% in Malmo.
- In Augusta, a larger share of residents have a bachelor's degree or higher at 24.3% 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.