Demographics details for Milano, TX vs Central city, KY
Population Overview
Compare main population characteristics in Milano, TX vs Central city, KY.
| Data | Milano | Central city |
|---|---|---|
| Population | 417 | 5,810 |
| Median Age | 32.1 years | 33.5 years |
| Median Income | $68,003 | $52,184 |
| Married Families | 34.0% | 38.0% |
| Poverty Level | 15% | 16% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Milano vs Central city
- The population in Central city is higher at 5,810, compared to 417 in Milano.
- The median age in Central city is higher at 33.5 years, compared to 32.1 years in Milano.
- Milano has a higher median income of $68,003 compared to $52,184 in Central city.
- In Central city, the percentage of married families is higher at 38.0%, compared to 34.0% in Milano.
- The poverty level is higher in Central city at 16%, compared to 15% in Milano.
- The unemployment rate is the same in both Milano and Central city at 3.5%.
Demographics
Demographics Milano vs Central city provide insight into the diversity of the communities to compare.
| Demographic | Milano | Central city |
|---|---|---|
| Black | 46 | 3 |
| White | 8 | 88 |
| Asian | Data is updating | Data is updating |
| Hispanic | 40 | 2 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Milano vs Central city
- A higher percentage of Black residents are in Milano at 46% compared to 3% in Central city.
- The percentage of White residents is higher in Central city at 88% compared to 8% in Milano.
- Both Milano and Central city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Milano at 40% compared to 2% in Central city.
- Both Milano and Central city have the same percentage of residents identifying as two or more races at 6%.
- In Central city, the percentage of American Indian residents is higher at 1%, compared to 0% in Milano.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milano | Central city |
|---|---|---|
| Mental Health Not Good | 17.3% | 19.3% |
| Physical Health Not Good | 11.6% | 15.5% |
| Depression | 23.4% | 26.8% |
| Smoking | 17.8% | 24.8% |
| Binge Drinking | 19.5% | 14.8% |
| Obesity | 36.0% | 41.9% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Milano vs Central city
- In Central city, a higher percentage report poor mental health at 19.3% compared to 17.3% in Milano.
- Higher depression rates are seen in Central city at 26.8% versus 23.4% in Milano.
- Central city has a higher smoking rate at 24.8% compared to 17.8% in Milano.
- Binge drinking is more common in Milano at 19.5% compared to 14.8% in Central city.
- Central city has higher obesity rates at 41.9% compared to 36.0% in Milano.
- Disability percentages are higher in Milano at 16.0% compared to 15.0% in Central city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milano | Central city |
|---|---|---|
| No Schooling | 0.7% (3) | 1.1% (65) |
| High School Diploma | 16.8% (70) | 15.4% (897) |
| Less than High School | 35.3% (147) | 15.6% (905) |
| Bachelor's Degree and Higher | 12.5% (52) | 8.3% (480) |
Education Levels Comparison: Milano vs Central city
- In Central city, a larger percentage of residents lack formal schooling at 1.1% compared to 0.7% in Milano.
- A higher percentage of residents in Milano hold a high school diploma at 16.8% compared to 15.4% in Central city.
- More residents in Milano have less than a high school education at 35.3% compared to 15.6% in Central city.
- A higher percentage of residents in Milano hold a bachelor's degree or higher at 12.5% compared to 8.3% in Central city.
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.