Demographics details for Syracuse, NY vs Sterling, OK
Population Overview
Compare main population characteristics in Syracuse, NY vs Sterling, OK.
Data | Syracuse | Sterling |
---|---|---|
Population | 144,451 | 678 |
Median Age | 31.9 years | 39.7 years |
Median Income | $43,584 | $64,464 |
Married Families | 22.0% | 47.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Syracuse vs Sterling
- In Syracuse, the population is higher at 144,451, compared to 678 in Sterling.
- The median age in Sterling is higher at 39.7 years, compared to 31.9 years in Syracuse.
- Sterling has a higher median income of $64,464, compared to $43,584 in Syracuse.
- In Sterling, the percentage of married families is higher at 47.0%, compared to 22.0% in Syracuse.
- The poverty level is higher in Sterling at 12%, compared to 0% in Syracuse.
- The unemployment rate in Syracuse is higher at 5.1%, compared to 3.5% in Sterling.
Demographics
Demographics Syracuse vs Sterling provide insight into the diversity of the communities to compare.
Demographic | Syracuse | Sterling |
---|---|---|
Black | 29 | Data is updating |
White | 45 | 82 |
Asian | 7 | 1 |
Hispanic | 10 | 6 |
Two or More Races | 8 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Syracuse vs Sterling
- A higher percentage of Black residents are in Syracuse at 29% compared to 0% in Sterling.
- The percentage of White residents is higher in Sterling at 82% compared to 45% in Syracuse.
- The Asian population is larger in Syracuse at 7% compared to 1% in Sterling.
- The Hispanic community is larger in Syracuse at 10% compared to 6% in Sterling.
- The percentage of residents identifying as two or more races is higher in Sterling at 11%, compared to 8% in Syracuse.
- A greater percentage of American Indian residents live in Syracuse at 1% compared to 0% in Sterling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Syracuse | Sterling |
---|---|---|
Mental Health Not Good | 20.3% | 17.9% |
Physical Health Not Good | 15.0% | 12.2% |
Depression | 26.9% | 28.2% |
Smoking | 26.9% | 20.1% |
Binge Drinking | 14.0% | 16.4% |
Obesity | 42.6% | 42.3% |
Disability Percentage | 16.0% | 40.0% |
Health Statistics Comparison: Syracuse vs Sterling
- More residents in Syracuse report poor mental health at 20.3% compared to 17.9% in Sterling.
- Higher depression rates are seen in Sterling at 28.2% versus 26.9% in Syracuse.
- Smoking is more prevalent in Syracuse at 26.9% compared to 20.1% in Sterling.
- More residents engage in binge drinking in Sterling at 16.4% compared to 14.0% in Syracuse.
- Obesity rates are higher in Syracuse at 42.6% compared to 42.3% in Sterling.
- There is a higher percentage of disabled individuals in Sterling at 40.0% compared to 16.0% in Syracuse.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Syracuse | Sterling |
---|---|---|
No Schooling | 1.8% (2,595) | 0.0% (Data is updating) |
High School Diploma | 12.7% (18,391) | 45.0% (305) |
Less than High School | 14.1% (20,347) | 11.2% (76) |
Bachelor's Degree and Higher | 18.5% (26,759) | 6.5% (44) |
Education Levels Comparison: Syracuse vs Sterling
- A higher percentage of residents in Syracuse have no formal schooling at 1.8% compared to 0.0% in Sterling.
- In Sterling, the rate of residents with high school diplomas is higher at 45.0% compared to 12.7% in Syracuse.
- More residents in Syracuse have less than a high school education at 14.1% compared to 11.2% in Sterling.
- A higher percentage of residents in Syracuse hold a bachelor's degree or higher at 18.5% compared to 6.5% in Sterling.
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.