Demographics details for Kingston, RI vs Pleasant hill, MO
Population Overview
Compare main population characteristics in Kingston, RI vs Pleasant hill, MO.
Data | Kingston | Pleasant hill |
---|---|---|
Population | 6,560 | 8,715 |
Median Age | 19.6 years | 36.9 years |
Median Income | $108,056 | $88,408 |
Married Families | 13.0% | 43.0% |
Poverty Level | 11% | 8% |
Unemployment Rate | 2.6 | 3.2 |
Population Comparison: Kingston vs Pleasant hill
- The population in Pleasant hill is higher at 8,715, compared to 6,560 in Kingston.
- The median age in Pleasant hill is higher at 36.9 years, compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056 compared to $88,408 in Pleasant hill.
- In Pleasant hill, the percentage of married families is higher at 43.0%, compared to 13.0% in Kingston.
- Kingston has a higher poverty level at 11% compared to 8% in Pleasant hill.
- Pleasant hill has a higher unemployment rate at 3.2% compared to 2.6% in Kingston.
Demographics
Demographics Kingston vs Pleasant hill provide insight into the diversity of the communities to compare.
Demographic | Kingston | Pleasant hill |
---|---|---|
Black | 5 | Data is updating |
White | 80 | 91 |
Asian | 2 | Data is updating |
Hispanic | 6 | 6 |
Two or More Races | 6 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Kingston vs Pleasant hill
- A higher percentage of Black residents are in Kingston at 5% compared to 0% in Pleasant hill.
- The percentage of White residents is higher in Pleasant hill at 91% compared to 80% in Kingston.
- The Asian population is larger in Kingston at 2% compared to 0% in Pleasant hill.
- The percentage of Hispanic residents is the same in both Kingston and Pleasant hill at 6%.
- More residents identify as two or more races in Kingston at 6% compared to 3% in Pleasant hill.
- A greater percentage of American Indian residents live in Kingston at 1% compared to 0% in Pleasant hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingston | Pleasant hill |
---|---|---|
Mental Health Not Good | 14.9% | 18.8% |
Physical Health Not Good | 8.7% | 12.9% |
Depression | 24.9% | 25.7% |
Smoking | 11.4% | 22.4% |
Binge Drinking | 19.1% | 16.7% |
Obesity | 25.9% | 39.8% |
Disability Percentage | 6.0% | 12.0% |
Health Statistics Comparison: Kingston vs Pleasant hill
- In Pleasant hill, a higher percentage report poor mental health at 18.8% compared to 14.9% in Kingston.
- Higher depression rates are seen in Pleasant hill at 25.7% versus 24.9% in Kingston.
- Pleasant hill has a higher smoking rate at 22.4% compared to 11.4% in Kingston.
- Binge drinking is more common in Kingston at 19.1% compared to 16.7% in Pleasant hill.
- Pleasant hill has higher obesity rates at 39.8% compared to 25.9% in Kingston.
- There is a higher percentage of disabled individuals in Pleasant hill at 12.0% compared to 6.0% in Kingston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kingston | Pleasant hill |
---|---|---|
No Schooling | 0.0% (3) | 0.5% (46) |
High School Diploma | 1.1% (71) | 19.3% (1,682) |
Less than High School | 0.1% (6) | 5.9% (517) |
Bachelor's Degree and Higher | 12.8% (839) | 16.9% (1,475) |
Education Levels Comparison: Kingston vs Pleasant hill
- In Pleasant hill, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Kingston.
- In Pleasant hill, the rate of residents with high school diplomas is higher at 19.3% compared to 1.1% in Kingston.
- The percentage of residents with less than a high school education is higher in Pleasant hill at 5.9%, compared to 0.1% in Kingston.
- In Pleasant hill, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 12.8% in Kingston.
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.