Demographics details for Odessa, TX vs Cummington, MA
Population Overview
Compare main population characteristics in Odessa, TX vs Cummington, MA.
Data | Odessa | Cummington |
---|---|---|
Population | 112,906 | 878 |
Median Age | 30.7 years | 42.0 years |
Median Income | $71,293 | $75,000 |
Married Families | 36.0% | 20.0% |
Poverty Level | 15% | 5% |
Unemployment Rate | 3.8 | 4.3 |
Population Comparison: Odessa vs Cummington
- In Odessa, the population is higher at 112,906, compared to 878 in Cummington.
- The median age in Cummington is higher at 42.0 years, compared to 30.7 years in Odessa.
- Cummington has a higher median income of $75,000, compared to $71,293 in Odessa.
- A higher percentage of married families is found in Odessa at 36.0% compared to 20.0% in Cummington.
- Odessa has a higher poverty level at 15% compared to 5% in Cummington.
- Cummington has a higher unemployment rate at 4.3% compared to 3.8% in Odessa.
Demographics
Demographics Odessa vs Cummington provide insight into the diversity of the communities to compare.
Demographic | Odessa | Cummington |
---|---|---|
Black | 7 | 1 |
White | 13 | 97 |
Asian | 2 | Data is updating |
Hispanic | 62 | 1 |
Two or More Races | 15 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Odessa vs Cummington
- A higher percentage of Black residents are in Odessa at 7% compared to 1% in Cummington.
- The percentage of White residents is higher in Cummington at 97% compared to 13% in Odessa.
- The Asian population is larger in Odessa at 2% compared to 0% in Cummington.
- The Hispanic community is larger in Odessa at 62% compared to 1% in Cummington.
- More residents identify as two or more races in Odessa at 15% compared to 1% in Cummington.
- A greater percentage of American Indian residents live in Odessa at 1% compared to 0% in Cummington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Odessa | Cummington |
---|---|---|
Mental Health Not Good | 16.9% | Data is updating% |
Physical Health Not Good | 12.5% | Data is updating% |
Depression | 22.9% | Data is updating% |
Smoking | 16.5% | Data is updating% |
Binge Drinking | 17.2% | Data is updating% |
Obesity | 37.4% | Data is updating% |
Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Odessa vs Cummington
- More residents in Odessa report poor mental health at 16.9% compared to 0.0% in Cummington.
- Depression is more prevalent in Odessa at 22.9% compared to 0.0% in Cummington.
- Smoking is more prevalent in Odessa at 16.5% compared to 0.0% in Cummington.
- Binge drinking is more common in Odessa at 17.2% compared to 0.0% in Cummington.
- Obesity rates are higher in Odessa at 37.4% compared to 0.0% in Cummington.
- Disability percentages are higher in Odessa at 10.0% compared to 0.0% in Cummington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Odessa | Cummington |
---|---|---|
No Schooling | 1.8% (2,019) | 0.0% (Data is updating) |
High School Diploma | 14.3% (16,149) | 0.0% (Data is updating) |
Less than High School | 22.4% (25,268) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.2% (12,609) | 0.0% (Data is updating) |
Education Levels Comparison: Odessa vs Cummington
- A higher percentage of residents in Odessa have no formal schooling at 1.8% compared to 0.0% in Cummington.
- A higher percentage of residents in Odessa hold a high school diploma at 14.3% compared to 0.0% in Cummington.
- More residents in Odessa have less than a high school education at 22.4% compared to 0.0% in Cummington.
- A higher percentage of residents in Odessa hold a bachelor's degree or higher at 11.2% compared to 0.0% in Cummington.
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.