Demographics details for Central city, KY vs Lampe, MO
Population Overview
Compare main population characteristics in Central city, KY vs Lampe, MO.
Data | Central city | Lampe |
---|---|---|
Population | 5,810 | 110 |
Median Age | 33.5 years | 50.0 years |
Median Income | $52,184 | $55,000 |
Married Families | 38.0% | 50.0% |
Poverty Level | 16% | 10% |
Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Central city vs Lampe
- In Central city, the population is higher at 5,810, compared to 110 in Lampe.
- The median age in Lampe is higher at 50.0 years, compared to 33.5 years in Central city.
- Lampe has a higher median income of $55,000, compared to $52,184 in Central city.
- In Lampe, the percentage of married families is higher at 50.0%, compared to 38.0% in Central city.
- Central city has a higher poverty level at 16% compared to 10% in Lampe.
- Lampe has a higher unemployment rate at 5.0% compared to 3.5% in Central city.
Demographics
Demographics Central city vs Lampe provide insight into the diversity of the communities to compare.
Demographic | Central city | Lampe |
---|---|---|
Black | 3 | Data is updating |
White | 88 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 2 |
Two or More Races | 6 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Central city vs Lampe
- A higher percentage of Black residents are in Central city at 3% compared to 0% in Lampe.
- The percentage of White residents is higher in Lampe at 95% compared to 88% in Central city.
- Both Central city and Lampe have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Central city and Lampe at 2%.
- More residents identify as two or more races in Central city at 6% compared to 3% in Lampe.
- A greater percentage of American Indian residents live in Central city at 1% compared to 0% in Lampe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Central city | Lampe |
---|---|---|
Mental Health Not Good | 19.3% | Data is updating% |
Physical Health Not Good | 15.5% | Data is updating% |
Depression | 26.8% | Data is updating% |
Smoking | 24.8% | Data is updating% |
Binge Drinking | 14.8% | Data is updating% |
Obesity | 41.9% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Central city vs Lampe
- More residents in Central city report poor mental health at 19.3% compared to 0.0% in Lampe.
- Depression is more prevalent in Central city at 26.8% compared to 0.0% in Lampe.
- Smoking is more prevalent in Central city at 24.8% compared to 0.0% in Lampe.
- Binge drinking is more common in Central city at 14.8% compared to 0.0% in Lampe.
- Obesity rates are higher in Central city at 41.9% compared to 0.0% in Lampe.
- Disability percentages are higher in Central city at 15.0% compared to 0.0% in Lampe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Central city | Lampe |
---|---|---|
No Schooling | 1.1% (65) | 0.0% (Data is updating) |
High School Diploma | 15.4% (897) | 0.0% (Data is updating) |
Less than High School | 15.6% (905) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 8.3% (480) | 0.0% (Data is updating) |
Education Levels Comparison: Central city vs Lampe
- A higher percentage of residents in Central city have no formal schooling at 1.1% compared to 0.0% in Lampe.
- A higher percentage of residents in Central city hold a high school diploma at 15.4% compared to 0.0% in Lampe.
- More residents in Central city have less than a high school education at 15.6% compared to 0.0% in Lampe.
- A higher percentage of residents in Central city hold a bachelor's degree or higher at 8.3% compared to 0.0% in Lampe.
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.