Demographics details for Oklahoma city, OK vs Watertown, MA
Population Overview
Compare main population characteristics in Oklahoma city, OK vs Watertown, MA.
| Data | Oklahoma city | Watertown |
|---|---|---|
| Population | 694,800 | 35,022 |
| Median Age | 34.9 years | 38.2 years |
| Median Income | $64,251 | $117,625 |
| Married Families | 36.0% | 42.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Oklahoma city vs Watertown
- In Oklahoma city, the population is higher at 694,800, compared to 35,022 in Watertown.
- The median age in Watertown is higher at 38.2 years, compared to 34.9 years in Oklahoma city.
- Watertown has a higher median income of $117,625, compared to $64,251 in Oklahoma city.
- In Watertown, the percentage of married families is higher at 42.0%, compared to 36.0% in Oklahoma city.
- Oklahoma city has a higher poverty level at 13% compared to 5% in Watertown.
- The unemployment rate in Oklahoma city is higher at 3.5%, compared to 3.4% in Watertown.
Demographics
Demographics Oklahoma city vs Watertown provide insight into the diversity of the communities to compare.
| Demographic | Oklahoma city | Watertown |
|---|---|---|
| Black | 13 | 4 |
| White | 48 | 70 |
| Asian | 4 | 12 |
| Hispanic | 20 | 7 |
| Two or More Races | 12 | 7 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Oklahoma city vs Watertown
- A higher percentage of Black residents are in Oklahoma city at 13% compared to 4% in Watertown.
- The percentage of White residents is higher in Watertown at 70% compared to 48% in Oklahoma city.
- In Watertown, the Asian population stands at 12%, greater than 4% in Oklahoma city.
- The Hispanic community is larger in Oklahoma city at 20% compared to 7% in Watertown.
- More residents identify as two or more races in Oklahoma city at 12% compared to 7% in Watertown.
- A greater percentage of American Indian residents live in Oklahoma city at 3% compared to 0% in Watertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oklahoma city | Watertown |
|---|---|---|
| Mental Health Not Good | 18.1% | 13.1% |
| Physical Health Not Good | 12.3% | 7.7% |
| Depression | 24.8% | 20.6% |
| Smoking | 18.2% | 8.6% |
| Binge Drinking | 13.1% | 19.3% |
| Obesity | 38.0% | 23.1% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Oklahoma city vs Watertown
- More residents in Oklahoma city report poor mental health at 18.1% compared to 13.1% in Watertown.
- Depression is more prevalent in Oklahoma city at 24.8% compared to 20.6% in Watertown.
- Smoking is more prevalent in Oklahoma city at 18.2% compared to 8.6% in Watertown.
- More residents engage in binge drinking in Watertown at 19.3% compared to 13.1% in Oklahoma city.
- Obesity rates are higher in Oklahoma city at 38.0% compared to 23.1% in Watertown.
- Disability percentages are the same in both Oklahoma city and Watertown at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oklahoma city | Watertown |
|---|---|---|
| No Schooling | 1.3% (9,023) | 0.9% (331) |
| High School Diploma | 13.0% (90,670) | 10.7% (3,731) |
| Less than High School | 14.0% (97,428) | 6.9% (2,426) |
| Bachelor's Degree and Higher | 21.3% (148,128) | 52.6% (18,420) |
Education Levels Comparison: Oklahoma city vs Watertown
- A higher percentage of residents in Oklahoma city have no formal schooling at 1.3% compared to 0.9% in Watertown.
- A higher percentage of residents in Oklahoma city hold a high school diploma at 13.0% compared to 10.7% in Watertown.
- More residents in Oklahoma city have less than a high school education at 14.0% compared to 6.9% in Watertown.
- In Watertown, a larger share of residents have a bachelor's degree or higher at 52.6% compared to 21.3% in Oklahoma city.
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.