Demographics details for Ithaca, NE vs Abilene, TX
Population Overview
Compare main population characteristics in Ithaca, NE vs Abilene, TX.
Data | Ithaca | Abilene |
---|---|---|
Population | 159 | 127,385 |
Median Age | 55.8 years | 32.2 years |
Median Income | $35,938 | $59,254 |
Married Families | 39.0% | 35.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Ithaca vs Abilene
- The population in Abilene is higher at 127,385, compared to 159 in Ithaca.
- Residents in Ithaca have a higher median age of 55.8 years compared to 32.2 years in Abilene.
- Abilene has a higher median income of $59,254, compared to $35,938 in Ithaca.
- A higher percentage of married families is found in Ithaca at 39.0% compared to 35.0% in Abilene.
- The poverty level is higher in Abilene at 12%, compared to 10% in Ithaca.
- Abilene has a higher unemployment rate at 4.0% compared to 3.5% in Ithaca.
Demographics
Demographics Ithaca vs Abilene provide insight into the diversity of the communities to compare.
Demographic | Ithaca | Abilene |
---|---|---|
Black | Data is updating | 10 |
White | 93 | 49 |
Asian | Data is updating | 2 |
Hispanic | 4 | 27 |
Two or More Races | 3 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ithaca vs Abilene
- In Abilene, the percentage of Black residents is higher at 10% compared to 0% in Ithaca.
- Ithaca has a higher percentage of White residents at 93% compared to 49% in Abilene.
- In Abilene, the Asian population stands at 2%, greater than 0% in Ithaca.
- Abilene has a higher percentage of Hispanic residents at 27%, compared to 4% in Ithaca.
- The percentage of residents identifying as two or more races is higher in Abilene at 12%, compared to 3% in Ithaca.
- The percentage of American Indian residents is the same in both Ithaca and Abilene at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ithaca | Abilene |
---|---|---|
Mental Health Not Good | 12.6% | 17.7% |
Physical Health Not Good | 8.2% | 12.5% |
Depression | 16.7% | 22.8% |
Smoking | 14.2% | 18.2% |
Binge Drinking | 24.0% | 18.3% |
Obesity | 34.5% | 35.8% |
Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Ithaca vs Abilene
- In Abilene, a higher percentage report poor mental health at 17.7% compared to 12.6% in Ithaca.
- Higher depression rates are seen in Abilene at 22.8% versus 16.7% in Ithaca.
- Abilene has a higher smoking rate at 18.2% compared to 14.2% in Ithaca.
- Binge drinking is more common in Ithaca at 24.0% compared to 18.3% in Abilene.
- Abilene has higher obesity rates at 35.8% compared to 34.5% in Ithaca.
- There is a higher percentage of disabled individuals in Abilene at 13.0% compared to 10.0% in Ithaca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ithaca | Abilene |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.9% (1,096) |
High School Diploma | 15.1% (24) | 13.7% (17,400) |
Less than High School | 28.9% (46) | 13.7% (17,433) |
Bachelor's Degree and Higher | 12.6% (20) | 16.0% (20,428) |
Education Levels Comparison: Ithaca vs Abilene
- In Abilene, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Ithaca.
- A higher percentage of residents in Ithaca hold a high school diploma at 15.1% compared to 13.7% in Abilene.
- More residents in Ithaca have less than a high school education at 28.9% compared to 13.7% in Abilene.
- In Abilene, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 12.6% in Ithaca.
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.