Demographics details for Wakita, OK vs Kingston, TN
Population Overview
Compare main population characteristics in Wakita, OK vs Kingston, TN.
Data | Wakita | Kingston |
---|---|---|
Population | 307 | 6,115 |
Median Age | 35.5 years | 44.7 years |
Median Income | $34,375 | $67,637 |
Married Families | 32.0% | 37.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Wakita vs Kingston
- The population in Kingston is higher at 6,115, compared to 307 in Wakita.
- The median age in Kingston is higher at 44.7 years, compared to 35.5 years in Wakita.
- Kingston has a higher median income of $67,637, compared to $34,375 in Wakita.
- In Kingston, the percentage of married families is higher at 37.0%, compared to 32.0% in Wakita.
- Wakita has a higher poverty level at 15% compared to 12% in Kingston.
- The unemployment rate in Wakita is higher at 3.5%, compared to 3.4% in Kingston.
Demographics
Demographics Wakita vs Kingston provide insight into the diversity of the communities to compare.
Demographic | Wakita | Kingston |
---|---|---|
Black | Data is updating | 4 |
White | 74 | 91 |
Asian | Data is updating | Data is updating |
Hispanic | 20 | 2 |
Two or More Races | 4 | 3 |
American Indian | 2 | Data is updating |
Demographics Comparison: Wakita vs Kingston
- In Kingston, the percentage of Black residents is higher at 4% compared to 0% in Wakita.
- The percentage of White residents is higher in Kingston at 91% compared to 74% in Wakita.
- Both Wakita and Kingston have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wakita at 20% compared to 2% in Kingston.
- More residents identify as two or more races in Wakita at 4% compared to 3% in Kingston.
- A greater percentage of American Indian residents live in Wakita at 2% compared to 0% in Kingston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wakita | Kingston |
---|---|---|
Mental Health Not Good | 17.8% | 17.7% |
Physical Health Not Good | 11.4% | 11.2% |
Depression | 25.5% | 26.6% |
Smoking | 17.8% | 18.0% |
Binge Drinking | 15.8% | 16.9% |
Obesity | 39.1% | 34.5% |
Disability Percentage | 19.0% | 20.0% |
Health Statistics Comparison: Wakita vs Kingston
- More residents in Wakita report poor mental health at 17.8% compared to 17.7% in Kingston.
- Higher depression rates are seen in Kingston at 26.6% versus 25.5% in Wakita.
- Kingston has a higher smoking rate at 18.0% compared to 17.8% in Wakita.
- More residents engage in binge drinking in Kingston at 16.9% compared to 15.8% in Wakita.
- Obesity rates are higher in Wakita at 39.1% compared to 34.5% in Kingston.
- There is a higher percentage of disabled individuals in Kingston at 20.0% compared to 19.0% in Wakita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wakita | Kingston |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (25) |
High School Diploma | 25.1% (77) | 23.4% (1,433) |
Less than High School | 10.4% (32) | 10.0% (613) |
Bachelor's Degree and Higher | 11.4% (35) | 16.5% (1,009) |
Education Levels Comparison: Wakita vs Kingston
- In Kingston, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Wakita.
- A higher percentage of residents in Wakita hold a high school diploma at 25.1% compared to 23.4% in Kingston.
- More residents in Wakita have less than a high school education at 10.4% compared to 10.0% in Kingston.
- In Kingston, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 11.4% in Wakita.
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.