Demographics details for Danville, KY vs New holland, OH
Population Overview
Compare main population characteristics in Danville, KY vs New holland, OH.
Data | Danville | New holland |
---|---|---|
Population | 17,303 | 822 |
Median Age | 36.4 years | 40.4 years |
Median Income | $48,038 | $44,167 |
Married Families | 31.0% | 35.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Danville vs New holland
- In Danville, the population is higher at 17,303, compared to 822 in New holland.
- The median age in New holland is higher at 40.4 years, compared to 36.4 years in Danville.
- Danville has a higher median income of $48,038 compared to $44,167 in New holland.
- In New holland, the percentage of married families is higher at 35.0%, compared to 31.0% in Danville.
- Danville has a higher poverty level at 15% compared to 12% in New holland.
- New holland has a higher unemployment rate at 4.2% compared to 4.1% in Danville.
Demographics
Demographics Danville vs New holland provide insight into the diversity of the communities to compare.
Demographic | Danville | New holland |
---|---|---|
Black | 12 | 2 |
White | 79 | 93 |
Asian | 1 | Data is updating |
Hispanic | 4 | 2 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Danville vs New holland
- A higher percentage of Black residents are in Danville at 12% compared to 2% in New holland.
- The percentage of White residents is higher in New holland at 93% compared to 79% in Danville.
- The Asian population is larger in Danville at 1% compared to 0% in New holland.
- The Hispanic community is larger in Danville at 4% compared to 2% in New holland.
- More residents identify as two or more races in Danville at 4% compared to 3% in New holland.
- The percentage of American Indian residents is the same in both Danville and New holland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danville | New holland |
---|---|---|
Mental Health Not Good | 19.1% | 17.6% |
Physical Health Not Good | 14.1% | 12.0% |
Depression | 27.7% | 24.3% |
Smoking | 21.6% | 21.3% |
Binge Drinking | 14.7% | 18.8% |
Obesity | 41.5% | 41.8% |
Disability Percentage | 15.0% | 24.0% |
Health Statistics Comparison: Danville vs New holland
- More residents in Danville report poor mental health at 19.1% compared to 17.6% in New holland.
- Depression is more prevalent in Danville at 27.7% compared to 24.3% in New holland.
- Smoking is more prevalent in Danville at 21.6% compared to 21.3% in New holland.
- More residents engage in binge drinking in New holland at 18.8% compared to 14.7% in Danville.
- New holland has higher obesity rates at 41.8% compared to 41.5% in Danville.
- There is a higher percentage of disabled individuals in New holland at 24.0% compared to 15.0% in Danville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Danville | New holland |
---|---|---|
No Schooling | 0.6% (108) | 1.0% (8) |
High School Diploma | 16.8% (2,899) | 25.2% (207) |
Less than High School | 12.1% (2,102) | 30.2% (248) |
Bachelor's Degree and Higher | 16.1% (2,789) | 5.2% (43) |
Education Levels Comparison: Danville vs New holland
- In New holland, a larger percentage of residents lack formal schooling at 1.0% compared to 0.6% in Danville.
- In New holland, the rate of residents with high school diplomas is higher at 25.2% compared to 16.8% in Danville.
- The percentage of residents with less than a high school education is higher in New holland at 30.2%, compared to 12.1% in Danville.
- A higher percentage of residents in Danville hold a bachelor's degree or higher at 16.1% compared to 5.2% in New holland.
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.