Demographics details for Oklahoma city, OK vs Acme, PA
Population Overview
Compare main population characteristics in Oklahoma city, OK vs Acme, PA.
| Data | Oklahoma city | Acme |
|---|---|---|
| Population | 694,800 | 500 |
| Median Age | 34.9 years | 35.0 years |
| Median Income | $64,251 | $55,000 |
| Married Families | 36.0% | 60.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Oklahoma city vs Acme
- In Oklahoma city, the population is higher at 694,800, compared to 500 in Acme.
- The median age in Acme is higher at 35.0 years, compared to 34.9 years in Oklahoma city.
- Oklahoma city has a higher median income of $64,251 compared to $55,000 in Acme.
- In Acme, the percentage of married families is higher at 60.0%, compared to 36.0% in Oklahoma city.
- Oklahoma city has a higher poverty level at 13% compared to 10% in Acme.
- Acme has a higher unemployment rate at 5.0% compared to 3.5% in Oklahoma city.
Demographics
Demographics Oklahoma city vs Acme provide insight into the diversity of the communities to compare.
| Demographic | Oklahoma city | Acme |
|---|---|---|
| Black | 13 | 5 |
| White | 48 | 90 |
| Asian | 4 | 2 |
| Hispanic | 20 | 2 |
| Two or More Races | 12 | 1 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Oklahoma city vs Acme
- A higher percentage of Black residents are in Oklahoma city at 13% compared to 5% in Acme.
- The percentage of White residents is higher in Acme at 90% compared to 48% in Oklahoma city.
- The Asian population is larger in Oklahoma city at 4% compared to 2% in Acme.
- The Hispanic community is larger in Oklahoma city at 20% compared to 2% in Acme.
- More residents identify as two or more races in Oklahoma city at 12% compared to 1% in Acme.
- A greater percentage of American Indian residents live in Oklahoma city at 3% compared to 0% in Acme.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oklahoma city | Acme |
|---|---|---|
| Mental Health Not Good | 18.1% | Data is updating% |
| Physical Health Not Good | 12.3% | Data is updating% |
| Depression | 24.8% | Data is updating% |
| Smoking | 18.2% | Data is updating% |
| Binge Drinking | 13.1% | Data is updating% |
| Obesity | 38.0% | Data is updating% |
| Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Oklahoma city vs Acme
- More residents in Oklahoma city report poor mental health at 18.1% compared to 0.0% in Acme.
- Depression is more prevalent in Oklahoma city at 24.8% compared to 0.0% in Acme.
- Smoking is more prevalent in Oklahoma city at 18.2% compared to 0.0% in Acme.
- Binge drinking is more common in Oklahoma city at 13.1% compared to 0.0% in Acme.
- Obesity rates are higher in Oklahoma city at 38.0% compared to 0.0% in Acme.
- Disability percentages are higher in Oklahoma city at 12.0% compared to 0.0% in Acme.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oklahoma city | Acme |
|---|---|---|
| No Schooling | 1.3% (9,023) | 0.0% (Data is updating) |
| High School Diploma | 13.0% (90,670) | 0.0% (Data is updating) |
| Less than High School | 14.0% (97,428) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 21.3% (148,128) | 0.0% (Data is updating) |
Education Levels Comparison: Oklahoma city vs Acme
- A higher percentage of residents in Oklahoma city have no formal schooling at 1.3% compared to 0.0% in Acme.
- A higher percentage of residents in Oklahoma city hold a high school diploma at 13.0% compared to 0.0% in Acme.
- More residents in Oklahoma city have less than a high school education at 14.0% compared to 0.0% in Acme.
- A higher percentage of residents in Oklahoma city hold a bachelor's degree or higher at 21.3% compared to 0.0% in Acme.
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.