Demographics details for Hardy, KY vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Hardy, KY vs Pittsburgh, PA.
Data | Hardy | Pittsburgh |
---|---|---|
Population | 129 | 302,898 |
Median Age | 40.0 years | 33.5 years |
Median Income | $40,000 | $60,187 |
Married Families | 30.0% | 26.0% |
Poverty Level | 20% | 15% |
Unemployment Rate | 5.0 | 3.4 |
Population Comparison: Hardy vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 129 in Hardy.
- Residents in Hardy have a higher median age of 40.0 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $40,000 in Hardy.
- A higher percentage of married families is found in Hardy at 30.0% compared to 26.0% in Pittsburgh.
- Hardy has a higher poverty level at 20% compared to 15% in Pittsburgh.
- The unemployment rate in Hardy is higher at 5.0%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Hardy vs Pittsburgh provide insight into the diversity of the communities to compare.
Demographic | Hardy | Pittsburgh |
---|---|---|
Black | Data is updating | 23 |
White | 100 | 62 |
Asian | Data is updating | 6 |
Hispanic | Data is updating | 4 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hardy vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 0% in Hardy.
- Hardy has a higher percentage of White residents at 100% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in Hardy.
- Pittsburgh has a higher percentage of Hispanic residents at 4%, compared to 0% in Hardy.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 0% in Hardy.
- The percentage of American Indian residents is the same in both Hardy and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hardy | Pittsburgh |
---|---|---|
Mental Health Not Good | Data is updating% | 16.3% |
Physical Health Not Good | Data is updating% | 11.7% |
Depression | Data is updating% | 21.1% |
Smoking | Data is updating% | 18.8% |
Binge Drinking | Data is updating% | 19.3% |
Obesity | Data is updating% | 35.0% |
Disability Percentage | Data is updating% | 14.0% |
Health Statistics Comparison: Hardy vs Pittsburgh
- In Pittsburgh, a higher percentage report poor mental health at 16.3% compared to 0.0% in Hardy.
- Higher depression rates are seen in Pittsburgh at 21.1% versus 0.0% in Hardy.
- Pittsburgh has a higher smoking rate at 18.8% compared to 0.0% in Hardy.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 0.0% in Hardy.
- Pittsburgh has higher obesity rates at 35.0% compared to 0.0% in Hardy.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 0.0% in Hardy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hardy | Pittsburgh |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (1,955) |
High School Diploma | 0.0% (Data is updating) | 13.9% (42,015) |
Less than High School | 0.0% (Data is updating) | 6.6% (20,087) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 32.1% (97,219) |
Education Levels Comparison: Hardy vs Pittsburgh
- In Pittsburgh, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Hardy.
- In Pittsburgh, the rate of residents with high school diplomas is higher at 13.9% compared to 0.0% in Hardy.
- The percentage of residents with less than a high school education is higher in Pittsburgh at 6.6%, compared to 0.0% in Hardy.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 0.0% in Hardy.
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.