Demographics details for Okemah, OK vs Shabbona, IL
Population Overview
Compare main population characteristics in Okemah, OK vs Shabbona, IL.
Data | Okemah | Shabbona |
---|---|---|
Population | 3,010 | 850 |
Median Age | 34.1 years | 53.7 years |
Median Income | $34,882 | $60,625 |
Married Families | 28.0% | 34.0% |
Poverty Level | 20% | 8% |
Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Okemah vs Shabbona
- In Okemah, the population is higher at 3,010, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 34.1 years in Okemah.
- Shabbona has a higher median income of $60,625, compared to $34,882 in Okemah.
- In Shabbona, the percentage of married families is higher at 34.0%, compared to 28.0% in Okemah.
- Okemah has a higher poverty level at 20% compared to 8% in Shabbona.
- Shabbona has a higher unemployment rate at 5.1% compared to 4.5% in Okemah.
Demographics
Demographics Okemah vs Shabbona provide insight into the diversity of the communities to compare.
Demographic | Okemah | Shabbona |
---|---|---|
Black | 2 | 1 |
White | 54 | 94 |
Asian | Data is updating | Data is updating |
Hispanic | 7 | 3 |
Two or More Races | 14 | 2 |
American Indian | 23 | Data is updating |
Demographics Comparison: Okemah vs Shabbona
- A higher percentage of Black residents are in Okemah at 2% compared to 1% in Shabbona.
- The percentage of White residents is higher in Shabbona at 94% compared to 54% in Okemah.
- Both Okemah and Shabbona have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Okemah at 7% compared to 3% in Shabbona.
- More residents identify as two or more races in Okemah at 14% compared to 2% in Shabbona.
- A greater percentage of American Indian residents live in Okemah at 23% compared to 0% in Shabbona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Okemah | Shabbona |
---|---|---|
Mental Health Not Good | 22.8% | 16.2% |
Physical Health Not Good | 17.5% | 10.5% |
Depression | 28.0% | 22.1% |
Smoking | 29.3% | 16.5% |
Binge Drinking | 13.1% | 18.8% |
Obesity | 43.8% | 36.3% |
Disability Percentage | 17.0% | 24.0% |
Health Statistics Comparison: Okemah vs Shabbona
- More residents in Okemah report poor mental health at 22.8% compared to 16.2% in Shabbona.
- Depression is more prevalent in Okemah at 28.0% compared to 22.1% in Shabbona.
- Smoking is more prevalent in Okemah at 29.3% compared to 16.5% in Shabbona.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 13.1% in Okemah.
- Obesity rates are higher in Okemah at 43.8% compared to 36.3% in Shabbona.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% compared to 17.0% in Okemah.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Okemah | Shabbona |
---|---|---|
No Schooling | 0.4% (11) | 0.0% (Data is updating) |
High School Diploma | 24.8% (746) | 22.1% (188) |
Less than High School | 17.5% (528) | 7.6% (65) |
Bachelor's Degree and Higher | 6.1% (183) | 12.2% (104) |
Education Levels Comparison: Okemah vs Shabbona
- A higher percentage of residents in Okemah have no formal schooling at 0.4% compared to 0.0% in Shabbona.
- A higher percentage of residents in Okemah hold a high school diploma at 24.8% compared to 22.1% in Shabbona.
- More residents in Okemah have less than a high school education at 17.5% compared to 7.6% in Shabbona.
- In Shabbona, a larger share of residents have a bachelor's degree or higher at 12.2% compared to 6.1% in Okemah.
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.