Demographics details for Waynesboro, MS vs Piqua, OH
Population Overview
Compare main population characteristics in Waynesboro, MS vs Piqua, OH.
Data | Waynesboro | Piqua |
---|---|---|
Population | 4,530 | 20,607 |
Median Age | 38.1 years | 37.9 years |
Median Income | $24,779 | $55,379 |
Married Families | 28.0% | 35.0% |
Poverty Level | 32% | 10% |
Unemployment Rate | 5.1 | 4.5 |
Population Comparison: Waynesboro vs Piqua
- The population in Piqua is higher at 20,607, compared to 4,530 in Waynesboro.
- Residents in Waynesboro have a higher median age of 38.1 years compared to 37.9 years in Piqua.
- Piqua has a higher median income of $55,379, compared to $24,779 in Waynesboro.
- In Piqua, the percentage of married families is higher at 35.0%, compared to 28.0% in Waynesboro.
- Waynesboro has a higher poverty level at 32% compared to 10% in Piqua.
- The unemployment rate in Waynesboro is higher at 5.1%, compared to 4.5% in Piqua.
Demographics
Demographics Waynesboro vs Piqua provide insight into the diversity of the communities to compare.
Demographic | Waynesboro | Piqua |
---|---|---|
Black | 56 | 2 |
White | 39 | 92 |
Asian | Data is updating | 1 |
Hispanic | 5 | 1 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waynesboro vs Piqua
- A higher percentage of Black residents are in Waynesboro at 56% compared to 2% in Piqua.
- The percentage of White residents is higher in Piqua at 92% compared to 39% in Waynesboro.
- In Piqua, the Asian population stands at 1%, greater than 0% in Waynesboro.
- The Hispanic community is larger in Waynesboro at 5% compared to 1% in Piqua.
- The percentage of residents identifying as two or more races is higher in Piqua at 4%, compared to 0% in Waynesboro.
- The percentage of American Indian residents is the same in both Waynesboro and Piqua at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waynesboro | Piqua |
---|---|---|
Mental Health Not Good | 21.2% | 18.8% |
Physical Health Not Good | 17.9% | 13.1% |
Depression | 23.4% | 23.9% |
Smoking | 29.6% | 23.2% |
Binge Drinking | 10.9% | 17.2% |
Obesity | 49.5% | 42.0% |
Disability Percentage | 36.0% | 14.0% |
Health Statistics Comparison: Waynesboro vs Piqua
- More residents in Waynesboro report poor mental health at 21.2% compared to 18.8% in Piqua.
- Higher depression rates are seen in Piqua at 23.9% versus 23.4% in Waynesboro.
- Smoking is more prevalent in Waynesboro at 29.6% compared to 23.2% in Piqua.
- More residents engage in binge drinking in Piqua at 17.2% compared to 10.9% in Waynesboro.
- Obesity rates are higher in Waynesboro at 49.5% compared to 42.0% in Piqua.
- Disability percentages are higher in Waynesboro at 36.0% compared to 14.0% in Piqua.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waynesboro | Piqua |
---|---|---|
No Schooling | 3.7% (169) | 0.5% (109) |
High School Diploma | 18.2% (826) | 24.5% (5,047) |
Less than High School | 23.4% (1,061) | 13.5% (2,775) |
Bachelor's Degree and Higher | 15.0% (679) | 8.9% (1,835) |
Education Levels Comparison: Waynesboro vs Piqua
- A higher percentage of residents in Waynesboro have no formal schooling at 3.7% compared to 0.5% in Piqua.
- In Piqua, the rate of residents with high school diplomas is higher at 24.5% compared to 18.2% in Waynesboro.
- More residents in Waynesboro have less than a high school education at 23.4% compared to 13.5% in Piqua.
- A higher percentage of residents in Waynesboro hold a bachelor's degree or higher at 15.0% compared to 8.9% in Piqua.
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.