Demographics details for Harrodsburg, KY vs Hilmar, CA
Population Overview
Compare main population characteristics in Harrodsburg, KY vs Hilmar, CA.
Data | Harrodsburg | Hilmar |
---|---|---|
Population | 9,149 | 11,136 |
Median Age | 38.2 years | 36.4 years |
Median Income | $49,293 | $71,753 |
Married Families | 34.0% | 42.0% |
Poverty Level | 15% | 15% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Harrodsburg vs Hilmar
- The population in Hilmar is higher at 11,136, compared to 9,149 in Harrodsburg.
- Residents in Harrodsburg have a higher median age of 38.2 years compared to 36.4 years in Hilmar.
- Hilmar has a higher median income of $71,753, compared to $49,293 in Harrodsburg.
- In Hilmar, the percentage of married families is higher at 42.0%, compared to 34.0% in Harrodsburg.
- The poverty level is identical in both Harrodsburg and Hilmar at 15%.
- The unemployment rate is the same in both Harrodsburg and Hilmar at 4.5%.
Demographics
Demographics Harrodsburg vs Hilmar provide insight into the diversity of the communities to compare.
Demographic | Harrodsburg | Hilmar |
---|---|---|
Black | 6 | 1 |
White | 80 | 52 |
Asian | Data is updating | 2 |
Hispanic | 6 | 42 |
Two or More Races | 7 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Harrodsburg vs Hilmar
- A higher percentage of Black residents are in Harrodsburg at 6% compared to 1% in Hilmar.
- Harrodsburg has a higher percentage of White residents at 80% compared to 52% in Hilmar.
- In Hilmar, the Asian population stands at 2%, greater than 0% in Harrodsburg.
- Hilmar has a higher percentage of Hispanic residents at 42%, compared to 6% in Harrodsburg.
- More residents identify as two or more races in Harrodsburg at 7% compared to 3% in Hilmar.
- A greater percentage of American Indian residents live in Harrodsburg at 1% compared to 0% in Hilmar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Harrodsburg | Hilmar |
---|---|---|
Mental Health Not Good | 19.8% | Data is updating% |
Physical Health Not Good | 14.7% | Data is updating% |
Depression | 28.9% | Data is updating% |
Smoking | 23.6% | Data is updating% |
Binge Drinking | 14.6% | Data is updating% |
Obesity | 40.7% | Data is updating% |
Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Harrodsburg vs Hilmar
- More residents in Harrodsburg report poor mental health at 19.8% compared to 0.0% in Hilmar.
- Depression is more prevalent in Harrodsburg at 28.9% compared to 0.0% in Hilmar.
- Smoking is more prevalent in Harrodsburg at 23.6% compared to 0.0% in Hilmar.
- Binge drinking is more common in Harrodsburg at 14.6% compared to 0.0% in Hilmar.
- Obesity rates are higher in Harrodsburg at 40.7% compared to 0.0% in Hilmar.
- Disability percentages are higher in Harrodsburg at 17.0% compared to 14.0% in Hilmar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Harrodsburg | Hilmar |
---|---|---|
No Schooling | 0.9% (84) | 2.6% (294) |
High School Diploma | 17.2% (1,573) | 16.8% (1,868) |
Less than High School | 15.5% (1,419) | 35.7% (3,978) |
Bachelor's Degree and Higher | 13.7% (1,254) | 6.9% (769) |
Education Levels Comparison: Harrodsburg vs Hilmar
- In Hilmar, a larger percentage of residents lack formal schooling at 2.6% compared to 0.9% in Harrodsburg.
- A higher percentage of residents in Harrodsburg hold a high school diploma at 17.2% compared to 16.8% in Hilmar.
- The percentage of residents with less than a high school education is higher in Hilmar at 35.7%, compared to 15.5% in Harrodsburg.
- A higher percentage of residents in Harrodsburg hold a bachelor's degree or higher at 13.7% compared to 6.9% in Hilmar.
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.