Demographics details for Harrodsburg, KY vs Campbell, CA
Population Overview
Compare main population characteristics in Harrodsburg, KY vs Campbell, CA.
Data | Harrodsburg | Campbell |
---|---|---|
Population | 9,149 | 42,286 |
Median Age | 38.2 years | 39.3 years |
Median Income | $49,293 | $141,794 |
Married Families | 34.0% | 45.0% |
Poverty Level | 15% | 6% |
Unemployment Rate | 4.5 | 3.6 |
Population Comparison: Harrodsburg vs Campbell
- The population in Campbell is higher at 42,286, compared to 9,149 in Harrodsburg.
- The median age in Campbell is higher at 39.3 years, compared to 38.2 years in Harrodsburg.
- Campbell has a higher median income of $141,794, compared to $49,293 in Harrodsburg.
- In Campbell, the percentage of married families is higher at 45.0%, compared to 34.0% in Harrodsburg.
- Harrodsburg has a higher poverty level at 15% compared to 6% in Campbell.
- The unemployment rate in Harrodsburg is higher at 4.5%, compared to 3.6% in Campbell.
Demographics
Demographics Harrodsburg vs Campbell provide insight into the diversity of the communities to compare.
Demographic | Harrodsburg | Campbell |
---|---|---|
Black | 6 | 2 |
White | 80 | 42 |
Asian | Data is updating | 27 |
Hispanic | 6 | 18 |
Two or More Races | 7 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Harrodsburg vs Campbell
- A higher percentage of Black residents are in Harrodsburg at 6% compared to 2% in Campbell.
- Harrodsburg has a higher percentage of White residents at 80% compared to 42% in Campbell.
- In Campbell, the Asian population stands at 27%, greater than 0% in Harrodsburg.
- Campbell has a higher percentage of Hispanic residents at 18%, compared to 6% in Harrodsburg.
- The percentage of residents identifying as two or more races is higher in Campbell at 11%, compared to 7% in Harrodsburg.
- A greater percentage of American Indian residents live in Harrodsburg at 1% compared to 0% in Campbell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Harrodsburg | Campbell |
---|---|---|
Mental Health Not Good | 19.8% | 13.3% |
Physical Health Not Good | 14.7% | 8.0% |
Depression | 28.9% | 16.8% |
Smoking | 23.6% | 8.0% |
Binge Drinking | 14.6% | 15.9% |
Obesity | 40.7% | 21.0% |
Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Harrodsburg vs Campbell
- More residents in Harrodsburg report poor mental health at 19.8% compared to 13.3% in Campbell.
- Depression is more prevalent in Harrodsburg at 28.9% compared to 16.8% in Campbell.
- Smoking is more prevalent in Harrodsburg at 23.6% compared to 8.0% in Campbell.
- More residents engage in binge drinking in Campbell at 15.9% compared to 14.6% in Harrodsburg.
- Obesity rates are higher in Harrodsburg at 40.7% compared to 21.0% in Campbell.
- Disability percentages are higher in Harrodsburg at 17.0% compared to 9.0% in Campbell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Harrodsburg | Campbell |
---|---|---|
No Schooling | 0.9% (84) | 1.4% (599) |
High School Diploma | 17.2% (1,573) | 8.1% (3,429) |
Less than High School | 15.5% (1,419) | 7.6% (3,214) |
Bachelor's Degree and Higher | 13.7% (1,254) | 44.5% (18,829) |
Education Levels Comparison: Harrodsburg vs Campbell
- In Campbell, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Harrodsburg.
- A higher percentage of residents in Harrodsburg hold a high school diploma at 17.2% compared to 8.1% in Campbell.
- More residents in Harrodsburg have less than a high school education at 15.5% compared to 7.6% in Campbell.
- In Campbell, a larger share of residents have a bachelor's degree or higher at 44.5% compared to 13.7% in Harrodsburg.
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.