Demographics details for Oklahoma city, OK vs Hope, AR
Population Overview
Compare main population characteristics in Oklahoma city, OK vs Hope, AR.
| Data | Oklahoma city | Hope |
|---|---|---|
| Population | 694,800 | 8,624 |
| Median Age | 34.9 years | 36.2 years |
| Median Income | $64,251 | $43,018 |
| Married Families | 36.0% | 29.0% |
| Poverty Level | 13% | 20% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Oklahoma city vs Hope
- In Oklahoma city, the population is higher at 694,800, compared to 8,624 in Hope.
- The median age in Hope is higher at 36.2 years, compared to 34.9 years in Oklahoma city.
- Oklahoma city has a higher median income of $64,251 compared to $43,018 in Hope.
- A higher percentage of married families is found in Oklahoma city at 36.0% compared to 29.0% in Hope.
- The poverty level is higher in Hope at 20%, compared to 13% in Oklahoma city.
- Hope has a higher unemployment rate at 4.5% compared to 3.5% in Oklahoma city.
Demographics
Demographics Oklahoma city vs Hope provide insight into the diversity of the communities to compare.
| Demographic | Oklahoma city | Hope |
|---|---|---|
| Black | 13 | 48 |
| White | 48 | 28 |
| Asian | 4 | Data is updating |
| Hispanic | 20 | 19 |
| Two or More Races | 12 | 4 |
| American Indian | 3 | 1 |
Demographics Comparison: Oklahoma city vs Hope
- In Hope, the percentage of Black residents is higher at 48% compared to 13% in Oklahoma city.
- Oklahoma city has a higher percentage of White residents at 48% compared to 28% in Hope.
- The Asian population is larger in Oklahoma city at 4% compared to 0% in Hope.
- The Hispanic community is larger in Oklahoma city at 20% compared to 19% in Hope.
- More residents identify as two or more races in Oklahoma city at 12% compared to 4% in Hope.
- A greater percentage of American Indian residents live in Oklahoma city at 3% compared to 1% in Hope.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oklahoma city | Hope |
|---|---|---|
| Mental Health Not Good | 18.1% | 20.9% |
| Physical Health Not Good | 12.3% | 16.6% |
| Depression | 24.8% | 24.8% |
| Smoking | 18.2% | 25.2% |
| Binge Drinking | 13.1% | 12.1% |
| Obesity | 38.0% | 48.0% |
| Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Oklahoma city vs Hope
- In Hope, a higher percentage report poor mental health at 20.9% compared to 18.1% in Oklahoma city.
- Both cities have comparable depression rates at 24.8%.
- Hope has a higher smoking rate at 25.2% compared to 18.2% in Oklahoma city.
- Binge drinking is more common in Oklahoma city at 13.1% compared to 12.1% in Hope.
- Hope has higher obesity rates at 48.0% compared to 38.0% in Oklahoma city.
- There is a higher percentage of disabled individuals in Hope at 20.0% 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 | Oklahoma city | Hope |
|---|---|---|
| No Schooling | 1.3% (9,023) | 3.0% (258) |
| High School Diploma | 13.0% (90,670) | 20.8% (1,790) |
| Less than High School | 14.0% (97,428) | 19.0% (1,641) |
| Bachelor's Degree and Higher | 21.3% (148,128) | 10.0% (863) |
Education Levels Comparison: Oklahoma city vs Hope
- In Hope, a larger percentage of residents lack formal schooling at 3.0% compared to 1.3% in Oklahoma city.
- In Hope, the rate of residents with high school diplomas is higher at 20.8% compared to 13.0% in Oklahoma city.
- The percentage of residents with less than a high school education is higher in Hope at 19.0%, compared to 14.0% in Oklahoma city.
- A higher percentage of residents in Oklahoma city hold a bachelor's degree or higher at 21.3% compared to 10.0% in Hope.
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.