Demographics details for Ulster park, NY vs London, KY
Population Overview
Compare main population characteristics in Ulster park, NY vs London, KY.
Data | Ulster park | London |
---|---|---|
Population | 1,865 | 7,578 |
Median Age | 42.0 years | 39.5 years |
Median Income | $70,000 | $45,858 |
Married Families | 50.0% | 35.0% |
Poverty Level | 6% | 13% |
Unemployment Rate | 4.0 | 3.8 |
Population Comparison: Ulster park vs London
- The population in London is higher at 7,578, compared to 1,865 in Ulster park.
- Residents in Ulster park have a higher median age of 42.0 years compared to 39.5 years in London.
- Ulster park has a higher median income of $70,000 compared to $45,858 in London.
- A higher percentage of married families is found in Ulster park at 50.0% compared to 35.0% in London.
- The poverty level is higher in London at 13%, compared to 6% in Ulster park.
- The unemployment rate in Ulster park is higher at 4.0%, compared to 3.8% in London.
Demographics
Demographics Ulster park vs London provide insight into the diversity of the communities to compare.
Demographic | Ulster park | London |
---|---|---|
Black | 5 | 2 |
White | 90 | 93 |
Asian | 2 | 1 |
Hispanic | 3 | 2 |
Two or More Races | Data is updating | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ulster park vs London
- A higher percentage of Black residents are in Ulster park at 5% compared to 2% in London.
- The percentage of White residents is higher in London at 93% compared to 90% in Ulster park.
- The Asian population is larger in Ulster park at 2% compared to 1% in London.
- The Hispanic community is larger in Ulster park at 3% compared to 2% in London.
- The percentage of residents identifying as two or more races is higher in London at 2%, compared to 0% in Ulster park.
- The percentage of American Indian residents is the same in both Ulster park and London at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ulster park | London |
---|---|---|
Mental Health Not Good | Data is updating% | 20.5% |
Physical Health Not Good | Data is updating% | 16.0% |
Depression | Data is updating% | 29.0% |
Smoking | Data is updating% | 24.5% |
Binge Drinking | Data is updating% | 14.8% |
Obesity | Data is updating% | 46.7% |
Disability Percentage | Data is updating% | 18.0% |
Health Statistics Comparison: Ulster park vs London
- In London, a higher percentage report poor mental health at 20.5% compared to 0.0% in Ulster park.
- Higher depression rates are seen in London at 29.0% versus 0.0% in Ulster park.
- London has a higher smoking rate at 24.5% compared to 0.0% in Ulster park.
- More residents engage in binge drinking in London at 14.8% compared to 0.0% in Ulster park.
- London has higher obesity rates at 46.7% compared to 0.0% in Ulster park.
- There is a higher percentage of disabled individuals in London at 18.0% compared to 0.0% in Ulster park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ulster park | London |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (93) |
High School Diploma | 0.0% (Data is updating) | 19.7% (1,496) |
Less than High School | 0.0% (Data is updating) | 18.6% (1,409) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.9% (900) |
Education Levels Comparison: Ulster park vs London
- In London, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Ulster park.
- In London, the rate of residents with high school diplomas is higher at 19.7% compared to 0.0% in Ulster park.
- The percentage of residents with less than a high school education is higher in London at 18.6%, compared to 0.0% in Ulster park.
- In London, a larger share of residents have a bachelor's degree or higher at 11.9% compared to 0.0% in Ulster park.
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.