Demographics details for Niobrara, NE vs Jeffersonville, IN
Population Overview
Compare main population characteristics in Niobrara, NE vs Jeffersonville, IN.
Data | Niobrara | Jeffersonville |
---|---|---|
Population | 363 | 51,030 |
Median Age | 55.1 years | 38.6 years |
Median Income | $37,452 | $67,566 |
Married Families | 39.0% | 37.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 2.5 | 4.1 |
Population Comparison: Niobrara vs Jeffersonville
- The population in Jeffersonville is higher at 51,030, compared to 363 in Niobrara.
- Residents in Niobrara have a higher median age of 55.1 years compared to 38.6 years in Jeffersonville.
- Jeffersonville has a higher median income of $67,566, compared to $37,452 in Niobrara.
- A higher percentage of married families is found in Niobrara at 39.0% compared to 37.0% in Jeffersonville.
- The poverty level is identical in both Niobrara and Jeffersonville at 10%.
- Jeffersonville has a higher unemployment rate at 4.1% compared to 2.5% in Niobrara.
Demographics
Demographics Niobrara vs Jeffersonville provide insight into the diversity of the communities to compare.
Demographic | Niobrara | Jeffersonville |
---|---|---|
Black | Data is updating | 12 |
White | 91 | 75 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 5 |
Two or More Races | 2 | 7 |
American Indian | 7 | Data is updating |
Demographics Comparison: Niobrara vs Jeffersonville
- In Jeffersonville, the percentage of Black residents is higher at 12% compared to 0% in Niobrara.
- Niobrara has a higher percentage of White residents at 91% compared to 75% in Jeffersonville.
- In Jeffersonville, the Asian population stands at 1%, greater than 0% in Niobrara.
- Jeffersonville has a higher percentage of Hispanic residents at 5%, compared to 0% in Niobrara.
- The percentage of residents identifying as two or more races is higher in Jeffersonville at 7%, compared to 2% in Niobrara.
- A greater percentage of American Indian residents live in Niobrara at 7% compared to 0% in Jeffersonville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Niobrara | Jeffersonville |
---|---|---|
Mental Health Not Good | 14.3% | 17.3% |
Physical Health Not Good | 10.1% | 11.7% |
Depression | 17.7% | 23.5% |
Smoking | 18.2% | 20.2% |
Binge Drinking | 21.6% | 16.9% |
Obesity | 40.5% | 40.2% |
Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Niobrara vs Jeffersonville
- In Jeffersonville, a higher percentage report poor mental health at 17.3% compared to 14.3% in Niobrara.
- Higher depression rates are seen in Jeffersonville at 23.5% versus 17.7% in Niobrara.
- Jeffersonville has a higher smoking rate at 20.2% compared to 18.2% in Niobrara.
- Binge drinking is more common in Niobrara at 21.6% compared to 16.9% in Jeffersonville.
- Obesity rates are higher in Niobrara at 40.5% compared to 40.2% in Jeffersonville.
- Disability percentages are higher in Niobrara at 17.0% compared to 13.0% in Jeffersonville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Niobrara | Jeffersonville |
---|---|---|
No Schooling | 0.3% (1) | 0.6% (293) |
High School Diploma | 26.2% (95) | 18.6% (9,472) |
Less than High School | 11.3% (41) | 9.7% (4,952) |
Bachelor's Degree and Higher | 14.3% (52) | 16.9% (8,649) |
Education Levels Comparison: Niobrara vs Jeffersonville
- In Jeffersonville, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Niobrara.
- A higher percentage of residents in Niobrara hold a high school diploma at 26.2% compared to 18.6% in Jeffersonville.
- More residents in Niobrara have less than a high school education at 11.3% compared to 9.7% in Jeffersonville.
- In Jeffersonville, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 14.3% in Niobrara.
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.