Demographics details for Marietta, OK vs Oklahoma city, OK
Population Overview
Compare main population characteristics in Marietta, OK vs Oklahoma city, OK.
| Data | Marietta | Oklahoma city |
|---|---|---|
| Population | 2,832 | 694,800 |
| Median Age | 29.6 years | 34.9 years |
| Median Income | $48,098 | $64,251 |
| Married Families | 30.0% | 36.0% |
| Poverty Level | Data is updating | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Marietta vs Oklahoma city
- The population in Oklahoma city is higher at 694,800, compared to 2,832 in Marietta.
- The median age in Oklahoma city is higher at 34.9 years, compared to 29.6 years in Marietta.
- Oklahoma city has a higher median income of $64,251, compared to $48,098 in Marietta.
- In Oklahoma city, the percentage of married families is higher at 36.0%, compared to 30.0% in Marietta.
- The poverty level is higher in Oklahoma city at 13%, compared to 0% in Marietta.
- The unemployment rate is the same in both Marietta and Oklahoma city at 3.5%.
Demographics
Demographics Marietta vs Oklahoma city provide insight into the diversity of the communities to compare.
| Demographic | Marietta | Oklahoma city |
|---|---|---|
| Black | 4 | 13 |
| White | 37 | 48 |
| Asian | Data is updating | 4 |
| Hispanic | 38 | 20 |
| Two or More Races | 17 | 12 |
| American Indian | 4 | 3 |
Demographics Comparison: Marietta vs Oklahoma city
- In Oklahoma city, the percentage of Black residents is higher at 13% compared to 4% in Marietta.
- The percentage of White residents is higher in Oklahoma city at 48% compared to 37% in Marietta.
- In Oklahoma city, the Asian population stands at 4%, greater than 0% in Marietta.
- The Hispanic community is larger in Marietta at 38% compared to 20% in Oklahoma city.
- More residents identify as two or more races in Marietta at 17% compared to 12% in Oklahoma city.
- A greater percentage of American Indian residents live in Marietta at 4% compared to 3% in Oklahoma city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marietta | Oklahoma city |
|---|---|---|
| Mental Health Not Good | 21.1% | 18.1% |
| Physical Health Not Good | 16.4% | 12.3% |
| Depression | 26.8% | 24.8% |
| Smoking | 25.1% | 18.2% |
| Binge Drinking | 13.0% | 13.1% |
| Obesity | 44.8% | 38.0% |
| Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Marietta vs Oklahoma city
- More residents in Marietta report poor mental health at 21.1% compared to 18.1% in Oklahoma city.
- Depression is more prevalent in Marietta at 26.8% compared to 24.8% in Oklahoma city.
- Smoking is more prevalent in Marietta at 25.1% compared to 18.2% in Oklahoma city.
- More residents engage in binge drinking in Oklahoma city at 13.1% compared to 13.0% in Marietta.
- Obesity rates are higher in Marietta at 44.8% compared to 38.0% in Oklahoma city.
- Disability percentages are higher in Marietta at 15.0% compared to 12.0% in Oklahoma city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marietta | Oklahoma city |
|---|---|---|
| No Schooling | 1.6% (44) | 1.3% (9,023) |
| High School Diploma | 18.3% (517) | 13.0% (90,670) |
| Less than High School | 31.9% (902) | 14.0% (97,428) |
| Bachelor's Degree and Higher | 5.1% (144) | 21.3% (148,128) |
Education Levels Comparison: Marietta vs Oklahoma city
- A higher percentage of residents in Marietta have no formal schooling at 1.6% compared to 1.3% in Oklahoma city.
- A higher percentage of residents in Marietta hold a high school diploma at 18.3% compared to 13.0% in Oklahoma city.
- More residents in Marietta have less than a high school education at 31.9% compared to 14.0% in Oklahoma city.
- In Oklahoma city, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 5.1% in Marietta.
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.