Demographics details for Richmond, MI vs Schenectady, NY
Population Overview
Compare main population characteristics in Richmond, MI vs Schenectady, NY.
Data | Richmond | Schenectady |
---|---|---|
Population | 5,817 | 68,809 |
Median Age | 38.7 years | 36.0 years |
Median Income | $64,154 | $54,650 |
Married Families | 29.0% | 28.0% |
Poverty Level | 9% | 13% |
Unemployment Rate | 4.5 | 4.6 |
Population Comparison: Richmond vs Schenectady
- The population in Schenectady is higher at 68,809, compared to 5,817 in Richmond.
- Residents in Richmond have a higher median age of 38.7 years compared to 36.0 years in Schenectady.
- Richmond has a higher median income of $64,154 compared to $54,650 in Schenectady.
- A higher percentage of married families is found in Richmond at 29.0% compared to 28.0% in Schenectady.
- The poverty level is higher in Schenectady at 13%, compared to 9% in Richmond.
- Schenectady has a higher unemployment rate at 4.6% compared to 4.5% in Richmond.
Demographics
Demographics Richmond vs Schenectady provide insight into the diversity of the communities to compare.
Demographic | Richmond | Schenectady |
---|---|---|
Black | 4 | 20 |
White | 87 | 47 |
Asian | Data is updating | 7 |
Hispanic | 5 | 12 |
Two or More Races | 4 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Richmond vs Schenectady
- In Schenectady, the percentage of Black residents is higher at 20% compared to 4% in Richmond.
- Richmond has a higher percentage of White residents at 87% compared to 47% in Schenectady.
- In Schenectady, the Asian population stands at 7%, greater than 0% in Richmond.
- Schenectady has a higher percentage of Hispanic residents at 12%, compared to 5% in Richmond.
- The percentage of residents identifying as two or more races is higher in Schenectady at 13%, compared to 4% in Richmond.
- In Schenectady, the percentage of American Indian residents is higher at 1%, compared to 0% in Richmond.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Richmond | Schenectady |
---|---|---|
Mental Health Not Good | 18.4% | 17.4% |
Physical Health Not Good | 11.7% | 12.5% |
Depression | 26.6% | 24.0% |
Smoking | 20.5% | 22.7% |
Binge Drinking | 18.7% | 16.2% |
Obesity | 37.8% | 39.6% |
Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Richmond vs Schenectady
- More residents in Richmond report poor mental health at 18.4% compared to 17.4% in Schenectady.
- Depression is more prevalent in Richmond at 26.6% compared to 24.0% in Schenectady.
- Schenectady has a higher smoking rate at 22.7% compared to 20.5% in Richmond.
- Binge drinking is more common in Richmond at 18.7% compared to 16.2% in Schenectady.
- Schenectady has higher obesity rates at 39.6% compared to 37.8% in Richmond.
- There is a higher percentage of disabled individuals in Schenectady at 15.0% compared to 14.0% in Richmond.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Richmond | Schenectady |
---|---|---|
No Schooling | 0.5% (28) | 1.7% (1,194) |
High School Diploma | 18.5% (1,077) | 15.3% (10,540) |
Less than High School | 14.9% (865) | 14.7% (10,146) |
Bachelor's Degree and Higher | 15.8% (920) | 15.0% (10,303) |
Education Levels Comparison: Richmond vs Schenectady
- In Schenectady, a larger percentage of residents lack formal schooling at 1.7% compared to 0.5% in Richmond.
- A higher percentage of residents in Richmond hold a high school diploma at 18.5% compared to 15.3% in Schenectady.
- More residents in Richmond have less than a high school education at 14.9% compared to 14.7% in Schenectady.
- A higher percentage of residents in Richmond hold a bachelor's degree or higher at 15.8% compared to 15.0% in Schenectady.
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.