Demographics details for Omaha, NE vs Fall river, MA
Population Overview
Compare main population characteristics in Omaha, NE vs Fall river, MA.
| Data | Omaha | Fall river |
|---|---|---|
| Population | 485,153 | 93,682 |
| Median Age | 35.1 years | 39.2 years |
| Median Income | $70,202 | $52,734 |
| Married Families | 36.0% | 32.0% |
| Poverty Level | 13% | 16% |
| Unemployment Rate | 3.5 | 5.6 |
Population Comparison: Omaha vs Fall river
- In Omaha, the population is higher at 485,153, compared to 93,682 in Fall river.
- The median age in Fall river is higher at 39.2 years, compared to 35.1 years in Omaha.
- Omaha has a higher median income of $70,202 compared to $52,734 in Fall river.
- A higher percentage of married families is found in Omaha at 36.0% compared to 32.0% in Fall river.
- The poverty level is higher in Fall river at 16%, compared to 13% in Omaha.
- Fall river has a higher unemployment rate at 5.6% compared to 3.5% in Omaha.
Demographics
Demographics Omaha vs Fall river provide insight into the diversity of the communities to compare.
| Demographic | Omaha | Fall river |
|---|---|---|
| Black | 12 | 6 |
| White | 60 | 68 |
| Asian | 4 | 3 |
| Hispanic | 15 | 12 |
| Two or More Races | 8 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Omaha vs Fall river
- A higher percentage of Black residents are in Omaha at 12% compared to 6% in Fall river.
- The percentage of White residents is higher in Fall river at 68% compared to 60% in Omaha.
- The Asian population is larger in Omaha at 4% compared to 3% in Fall river.
- The Hispanic community is larger in Omaha at 15% compared to 12% in Fall river.
- The percentage of residents identifying as two or more races is higher in Fall river at 11%, compared to 8% in Omaha.
- A greater percentage of American Indian residents live in Omaha at 1% compared to 0% in Fall river.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Omaha | Fall river |
|---|---|---|
| Mental Health Not Good | 14.4% | 19.7% |
| Physical Health Not Good | 9.7% | 13.3% |
| Depression | 19.4% | 25.0% |
| Smoking | 15.4% | 23.0% |
| Binge Drinking | 20.4% | 16.7% |
| Obesity | 36.3% | 32.8% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Omaha vs Fall river
- In Fall river, a higher percentage report poor mental health at 19.7% compared to 14.4% in Omaha.
- Higher depression rates are seen in Fall river at 25.0% versus 19.4% in Omaha.
- Fall river has a higher smoking rate at 23.0% compared to 15.4% in Omaha.
- Binge drinking is more common in Omaha at 20.4% compared to 16.7% in Fall river.
- Obesity rates are higher in Omaha at 36.3% compared to 32.8% in Fall river.
- There is a higher percentage of disabled individuals in Fall river at 20.0% compared to 11.0% in Omaha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Omaha | Fall river |
|---|---|---|
| No Schooling | 1.7% (8,272) | 2.5% (2,365) |
| High School Diploma | 12.1% (58,598) | 19.4% (18,187) |
| Less than High School | 11.0% (53,160) | 32.4% (30,324) |
| Bachelor's Degree and Higher | 25.9% (125,578) | 11.3% (10,601) |
Education Levels Comparison: Omaha vs Fall river
- In Fall river, a larger percentage of residents lack formal schooling at 2.5% compared to 1.7% in Omaha.
- In Fall river, the rate of residents with high school diplomas is higher at 19.4% compared to 12.1% in Omaha.
- The percentage of residents with less than a high school education is higher in Fall river at 32.4%, compared to 11.0% in Omaha.
- A higher percentage of residents in Omaha hold a bachelor's degree or higher at 25.9% compared to 11.3% in Fall river.
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.