Demographics details for Central city, KY vs Carroll, NE
Population Overview
Compare main population characteristics in Central city, KY vs Carroll, NE.
Data | Central city | Carroll |
---|---|---|
Population | 5,810 | 191 |
Median Age | 33.5 years | 34.0 years |
Median Income | $52,184 | $57,813 |
Married Families | 38.0% | 77.0% |
Poverty Level | 16% | 9% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Central city vs Carroll
- In Central city, the population is higher at 5,810, compared to 191 in Carroll.
- The median age in Carroll is higher at 34.0 years, compared to 33.5 years in Central city.
- Carroll has a higher median income of $57,813, compared to $52,184 in Central city.
- In Carroll, the percentage of married families is higher at 77.0%, compared to 38.0% in Central city.
- Central city has a higher poverty level at 16% compared to 9% in Carroll.
- The unemployment rate in Central city is higher at 3.5%, compared to 3.2% in Carroll.
Demographics
Demographics Central city vs Carroll provide insight into the diversity of the communities to compare.
Demographic | Central city | Carroll |
---|---|---|
Black | 3 | Data is updating |
White | 88 | 90 |
Asian | Data is updating | 1 |
Hispanic | 2 | 6 |
Two or More Races | 6 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Central city vs Carroll
- A higher percentage of Black residents are in Central city at 3% compared to 0% in Carroll.
- The percentage of White residents is higher in Carroll at 90% compared to 88% in Central city.
- In Carroll, the Asian population stands at 1%, greater than 0% in Central city.
- Carroll has a higher percentage of Hispanic residents at 6%, compared to 2% in Central city.
- More residents identify as two or more races in Central city at 6% compared to 3% in Carroll.
- A greater percentage of American Indian residents live in Central city at 1% compared to 0% in Carroll.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Central city | Carroll |
---|---|---|
Mental Health Not Good | 19.3% | 12.5% |
Physical Health Not Good | 15.5% | 8.4% |
Depression | 26.8% | 16.0% |
Smoking | 24.8% | 13.7% |
Binge Drinking | 14.8% | 24.2% |
Obesity | 41.9% | 36.6% |
Disability Percentage | 15.0% | 27.0% |
Health Statistics Comparison: Central city vs Carroll
- More residents in Central city report poor mental health at 19.3% compared to 12.5% in Carroll.
- Depression is more prevalent in Central city at 26.8% compared to 16.0% in Carroll.
- Smoking is more prevalent in Central city at 24.8% compared to 13.7% in Carroll.
- More residents engage in binge drinking in Carroll at 24.2% compared to 14.8% in Central city.
- Obesity rates are higher in Central city at 41.9% compared to 36.6% in Carroll.
- There is a higher percentage of disabled individuals in Carroll at 27.0% compared to 15.0% in Central city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Central city | Carroll |
---|---|---|
No Schooling | 1.1% (65) | 0.0% (Data is updating) |
High School Diploma | 15.4% (897) | 26.7% (51) |
Less than High School | 15.6% (905) | 13.6% (26) |
Bachelor's Degree and Higher | 8.3% (480) | 12.6% (24) |
Education Levels Comparison: Central city vs Carroll
- A higher percentage of residents in Central city have no formal schooling at 1.1% compared to 0.0% in Carroll.
- In Carroll, the rate of residents with high school diplomas is higher at 26.7% compared to 15.4% in Central city.
- More residents in Central city have less than a high school education at 15.6% compared to 13.6% in Carroll.
- In Carroll, a larger share of residents have a bachelor's degree or higher at 12.6% compared to 8.3% in Central 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.