Demographics details for Odessa, MN vs Spring valley, NY
Population Overview
Compare main population characteristics in Odessa, MN vs Spring valley, NY.
Data | Odessa | Spring valley |
---|---|---|
Population | 104 | 32,884 |
Median Age | 49.4 years | 27.5 years |
Median Income | $46,875 | $50,749 |
Married Families | 38.0% | 32.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 2.3 | 3.2 |
Population Comparison: Odessa vs Spring valley
- The population in Spring valley is higher at 32,884, compared to 104 in Odessa.
- Residents in Odessa have a higher median age of 49.4 years compared to 27.5 years in Spring valley.
- Spring valley has a higher median income of $50,749, compared to $46,875 in Odessa.
- A higher percentage of married families is found in Odessa at 38.0% compared to 32.0% in Spring valley.
- The poverty level is higher in Spring valley at 10%, compared to 0% in Odessa.
- Spring valley has a higher unemployment rate at 3.2% compared to 2.3% in Odessa.
Demographics
Demographics Odessa vs Spring valley provide insight into the diversity of the communities to compare.
Demographic | Odessa | Spring valley |
---|---|---|
Black | Data is updating | 32 |
White | 88 | 31 |
Asian | 12 | 3 |
Hispanic | Data is updating | 29 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Odessa vs Spring valley
- In Spring valley, the percentage of Black residents is higher at 32% compared to 0% in Odessa.
- Odessa has a higher percentage of White residents at 88% compared to 31% in Spring valley.
- The Asian population is larger in Odessa at 12% compared to 3% in Spring valley.
- Spring valley has a higher percentage of Hispanic residents at 29%, compared to 0% in Odessa.
- The percentage of residents identifying as two or more races is higher in Spring valley at 5%, compared to 0% in Odessa.
- The percentage of American Indian residents is the same in both Odessa and Spring valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Odessa | Spring valley |
---|---|---|
Mental Health Not Good | 14.7% | 16.7% |
Physical Health Not Good | 9.1% | 13.9% |
Depression | 22.5% | 18.7% |
Smoking | 17.9% | 22.3% |
Binge Drinking | 21.4% | 12.6% |
Obesity | 36.8% | 34.3% |
Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Odessa vs Spring valley
- In Spring valley, a higher percentage report poor mental health at 16.7% compared to 14.7% in Odessa.
- Depression is more prevalent in Odessa at 22.5% compared to 18.7% in Spring valley.
- Spring valley has a higher smoking rate at 22.3% compared to 17.9% in Odessa.
- Binge drinking is more common in Odessa at 21.4% compared to 12.6% in Spring valley.
- Obesity rates are higher in Odessa at 36.8% compared to 34.3% in Spring valley.
- Disability percentages are higher in Odessa at 18.0% compared to 8.0% in Spring valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Odessa | Spring valley |
---|---|---|
No Schooling | 1.9% (2) | 3.7% (1,224) |
High School Diploma | 26.0% (27) | 13.1% (4,315) |
Less than High School | 13.5% (14) | 20.5% (6,742) |
Bachelor's Degree and Higher | 26.0% (27) | 10.0% (3,273) |
Education Levels Comparison: Odessa vs Spring valley
- In Spring valley, a larger percentage of residents lack formal schooling at 3.7% compared to 1.9% in Odessa.
- A higher percentage of residents in Odessa hold a high school diploma at 26.0% compared to 13.1% in Spring valley.
- The percentage of residents with less than a high school education is higher in Spring valley at 20.5%, compared to 13.5% in Odessa.
- A higher percentage of residents in Odessa hold a bachelor's degree or higher at 26.0% compared to 10.0% in Spring valley.
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.