Demographics details for Protem, MO vs Piqua, OH
Population Overview
Compare main population characteristics in Protem, MO vs Piqua, OH.
| Data | Protem | Piqua |
|---|---|---|
| Population | 408 | 20,607 |
| Median Age | 42.0 years | 37.9 years |
| Median Income | $40,000 | $55,379 |
| Married Families | 50.0% | 35.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Protem vs Piqua
- The population in Piqua is higher at 20,607, compared to 408 in Protem.
- Residents in Protem have a higher median age of 42.0 years compared to 37.9 years in Piqua.
- Piqua has a higher median income of $55,379, compared to $40,000 in Protem.
- A higher percentage of married families is found in Protem at 50.0% compared to 35.0% in Piqua.
- Protem has a higher poverty level at 12% compared to 10% in Piqua.
- The unemployment rate in Protem is higher at 5.0%, compared to 4.5% in Piqua.
Demographics
Demographics Protem vs Piqua provide insight into the diversity of the communities to compare.
| Demographic | Protem | Piqua |
|---|---|---|
| Black | 3 | 2 |
| White | 95 | 92 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 1 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Protem vs Piqua
- A higher percentage of Black residents are in Protem at 3% compared to 2% in Piqua.
- Protem has a higher percentage of White residents at 95% compared to 92% in Piqua.
- In Piqua, the Asian population stands at 1%, greater than 0% in Protem.
- The Hispanic community is larger in Protem at 2% 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 Protem.
- The percentage of American Indian residents is the same in both Protem and Piqua at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Protem | Piqua |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.8% |
| Physical Health Not Good | Data is updating% | 13.1% |
| Depression | Data is updating% | 23.9% |
| Smoking | Data is updating% | 23.2% |
| Binge Drinking | Data is updating% | 17.2% |
| Obesity | Data is updating% | 42.0% |
| Disability Percentage | Data is updating% | 14.0% |
Health Statistics Comparison: Protem vs Piqua
- In Piqua, a higher percentage report poor mental health at 18.8% compared to 0.0% in Protem.
- Higher depression rates are seen in Piqua at 23.9% versus 0.0% in Protem.
- Piqua has a higher smoking rate at 23.2% compared to 0.0% in Protem.
- More residents engage in binge drinking in Piqua at 17.2% compared to 0.0% in Protem.
- Piqua has higher obesity rates at 42.0% compared to 0.0% in Protem.
- There is a higher percentage of disabled individuals in Piqua at 14.0% compared to 0.0% in Protem.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Protem | Piqua |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (109) |
| High School Diploma | 0.0% (Data is updating) | 24.5% (5,047) |
| Less than High School | 0.0% (Data is updating) | 13.5% (2,775) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 8.9% (1,835) |
Education Levels Comparison: Protem vs Piqua
- In Piqua, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Protem.
- In Piqua, the rate of residents with high school diplomas is higher at 24.5% compared to 0.0% in Protem.
- The percentage of residents with less than a high school education is higher in Piqua at 13.5%, compared to 0.0% in Protem.
- In Piqua, a larger share of residents have a bachelor's degree or higher at 8.9% compared to 0.0% in Protem.
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.