Demographics details for Oklahoma city, OK vs Danville, IL
Population Overview
Compare main population characteristics in Oklahoma city, OK vs Danville, IL.
Data | Oklahoma city | Danville |
---|---|---|
Population | 694,800 | 28,472 |
Median Age | 34.9 years | 38.6 years |
Median Income | $64,251 | $42,424 |
Married Families | 36.0% | 25.0% |
Poverty Level | 13% | 20% |
Unemployment Rate | 3.5 | 8.6 |
Population Comparison: Oklahoma city vs Danville
- In Oklahoma city, the population is higher at 694,800, compared to 28,472 in Danville.
- The median age in Danville is higher at 38.6 years, compared to 34.9 years in Oklahoma city.
- Oklahoma city has a higher median income of $64,251 compared to $42,424 in Danville.
- A higher percentage of married families is found in Oklahoma city at 36.0% compared to 25.0% in Danville.
- The poverty level is higher in Danville at 20%, compared to 13% in Oklahoma city.
- Danville has a higher unemployment rate at 8.6% compared to 3.5% in Oklahoma city.
Demographics
Demographics Oklahoma city vs Danville provide insight into the diversity of the communities to compare.
Demographic | Oklahoma city | Danville |
---|---|---|
Black | 13 | 34 |
White | 48 | 52 |
Asian | 4 | 1 |
Hispanic | 20 | 8 |
Two or More Races | 12 | 5 |
American Indian | 3 | Data is updating |
Demographics Comparison: Oklahoma city vs Danville
- In Danville, the percentage of Black residents is higher at 34% compared to 13% in Oklahoma city.
- The percentage of White residents is higher in Danville at 52% compared to 48% in Oklahoma city.
- The Asian population is larger in Oklahoma city at 4% compared to 1% in Danville.
- The Hispanic community is larger in Oklahoma city at 20% compared to 8% in Danville.
- More residents identify as two or more races in Oklahoma city at 12% compared to 5% in Danville.
- A greater percentage of American Indian residents live in Oklahoma city at 3% compared to 0% in Danville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oklahoma city | Danville |
---|---|---|
Mental Health Not Good | 18.1% | 18.9% |
Physical Health Not Good | 12.3% | 14.5% |
Depression | 24.8% | 21.2% |
Smoking | 18.2% | 23.9% |
Binge Drinking | 13.1% | 14.9% |
Obesity | 38.0% | 41.4% |
Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Oklahoma city vs Danville
- In Danville, a higher percentage report poor mental health at 18.9% compared to 18.1% in Oklahoma city.
- Depression is more prevalent in Oklahoma city at 24.8% compared to 21.2% in Danville.
- Danville has a higher smoking rate at 23.9% compared to 18.2% in Oklahoma city.
- More residents engage in binge drinking in Danville at 14.9% compared to 13.1% in Oklahoma city.
- Danville has higher obesity rates at 41.4% compared to 38.0% in Oklahoma city.
- There is a higher percentage of disabled individuals in Danville at 17.0% 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 | Danville |
---|---|---|
No Schooling | 1.3% (9,023) | 0.9% (270) |
High School Diploma | 13.0% (90,670) | 20.6% (5,853) |
Less than High School | 14.0% (97,428) | 13.1% (3,727) |
Bachelor's Degree and Higher | 21.3% (148,128) | 11.7% (3,344) |
Education Levels Comparison: Oklahoma city vs Danville
- A higher percentage of residents in Oklahoma city have no formal schooling at 1.3% compared to 0.9% in Danville.
- In Danville, the rate of residents with high school diplomas is higher at 20.6% compared to 13.0% in Oklahoma city.
- More residents in Oklahoma city have less than a high school education at 14.0% compared to 13.1% in Danville.
- A higher percentage of residents in Oklahoma city hold a bachelor's degree or higher at 21.3% compared to 11.7% in Danville.
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.