Demographics details for Sikeston, MO vs Albany, IN
Population Overview
Compare main population characteristics in Sikeston, MO vs Albany, IN.
| Data | Sikeston | Albany |
|---|---|---|
| Population | 16,073 | 2,286 |
| Median Age | 37.3 years | 49.2 years |
| Median Income | $47,464 | $53,246 |
| Married Families | 36.0% | 55.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 3.4 | 3.2 |
Population Comparison: Sikeston vs Albany
- In Sikeston, the population is higher at 16,073, compared to 2,286 in Albany.
- The median age in Albany is higher at 49.2 years, compared to 37.3 years in Sikeston.
- Albany has a higher median income of $53,246, compared to $47,464 in Sikeston.
- In Albany, the percentage of married families is higher at 55.0%, compared to 36.0% in Sikeston.
- Sikeston has a higher poverty level at 16% compared to 10% in Albany.
- The unemployment rate in Sikeston is higher at 3.4%, compared to 3.2% in Albany.
Demographics
Demographics Sikeston vs Albany provide insight into the diversity of the communities to compare.
| Demographic | Sikeston | Albany |
|---|---|---|
| Black | 25 | Data is updating |
| White | 65 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 3 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sikeston vs Albany
- A higher percentage of Black residents are in Sikeston at 25% compared to 0% in Albany.
- The percentage of White residents is higher in Albany at 93% compared to 65% in Sikeston.
- In Albany, the Asian population stands at 1%, greater than 0% in Sikeston.
- The percentage of Hispanic residents is the same in both Sikeston and Albany at 3%.
- More residents identify as two or more races in Sikeston at 7% compared to 3% in Albany.
- The percentage of American Indian residents is the same in both Sikeston and Albany at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sikeston | Albany |
|---|---|---|
| Mental Health Not Good | 19.8% | 17.1% |
| Physical Health Not Good | 14.7% | 11.5% |
| Depression | 24.6% | 26.9% |
| Smoking | 23.9% | 20.1% |
| Binge Drinking | 15.8% | 17.4% |
| Obesity | 39.0% | 36.7% |
| Disability Percentage | 20.0% | 30.0% |
Health Statistics Comparison: Sikeston vs Albany
- More residents in Sikeston report poor mental health at 19.8% compared to 17.1% in Albany.
- Higher depression rates are seen in Albany at 26.9% versus 24.6% in Sikeston.
- Smoking is more prevalent in Sikeston at 23.9% compared to 20.1% in Albany.
- More residents engage in binge drinking in Albany at 17.4% compared to 15.8% in Sikeston.
- Obesity rates are higher in Sikeston at 39.0% compared to 36.7% in Albany.
- There is a higher percentage of disabled individuals in Albany at 30.0% compared to 20.0% in Sikeston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sikeston | Albany |
|---|---|---|
| No Schooling | 0.5% (76) | 0.5% (12) |
| High School Diploma | 23.0% (3,696) | 39.1% (893) |
| Less than High School | 13.3% (2,142) | 19.9% (456) |
| Bachelor's Degree and Higher | 16.3% (2,619) | 13.5% (308) |
Education Levels Comparison: Sikeston vs Albany
- The percentage of residents with no formal schooling is the same in both Sikeston and Albany at 0.5%.
- In Albany, the rate of residents with high school diplomas is higher at 39.1% compared to 23.0% in Sikeston.
- The percentage of residents with less than a high school education is higher in Albany at 19.9%, compared to 13.3% in Sikeston.
- A higher percentage of residents in Sikeston hold a bachelor's degree or higher at 16.3% compared to 13.5% in Albany.
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.