Demographics details for Helena, MT vs Central city, NE
Population Overview
Compare main population characteristics in Helena, MT vs Central city, NE.
Data | Helena | Central city |
---|---|---|
Population | 33,885 | 3,078 |
Median Age | 39.9 years | 37.0 years |
Median Income | $64,798 | $54,063 |
Married Families | 34.0% | 38.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 3.0 | 2.5 |
Population Comparison: Helena vs Central city
- In Helena, the population is higher at 33,885, compared to 3,078 in Central city.
- Residents in Helena have a higher median age of 39.9 years compared to 37.0 years in Central city.
- Helena has a higher median income of $64,798 compared to $54,063 in Central city.
- In Central city, the percentage of married families is higher at 38.0%, compared to 34.0% in Helena.
- Helena has a higher poverty level at 10% compared to 9% in Central city.
- The unemployment rate in Helena is higher at 3.0%, compared to 2.5% in Central city.
Demographics
Demographics Helena vs Central city provide insight into the diversity of the communities to compare.
Demographic | Helena | Central city |
---|---|---|
Black | 1 | Data is updating |
White | 88 | 86 |
Asian | 1 | 3 |
Hispanic | 5 | 7 |
Two or More Races | 4 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Helena vs Central city
- A higher percentage of Black residents are in Helena at 1% compared to 0% in Central city.
- Helena has a higher percentage of White residents at 88% compared to 86% in Central city.
- In Central city, the Asian population stands at 3%, greater than 1% in Helena.
- Central city has a higher percentage of Hispanic residents at 7%, compared to 5% in Helena.
- Both Helena and Central city have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Helena at 1% compared to 0% in Central city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Helena | Central city |
---|---|---|
Mental Health Not Good | 14.8% | 14.5% |
Physical Health Not Good | 9.6% | 10.1% |
Depression | 23.5% | 18.6% |
Smoking | 13.1% | 17.5% |
Binge Drinking | 21.9% | 20.0% |
Obesity | 30.4% | 44.9% |
Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Helena vs Central city
- More residents in Helena report poor mental health at 14.8% compared to 14.5% in Central city.
- Depression is more prevalent in Helena at 23.5% compared to 18.6% in Central city.
- Central city has a higher smoking rate at 17.5% compared to 13.1% in Helena.
- Binge drinking is more common in Helena at 21.9% compared to 20.0% in Central city.
- Central city has higher obesity rates at 44.9% compared to 30.4% in Helena.
- There is a higher percentage of disabled individuals in Central city at 18.0% compared to 12.0% in Helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Helena | Central city |
---|---|---|
No Schooling | 0.1% (38) | 0.0% (Data is updating) |
High School Diploma | 10.0% (3,385) | 23.4% (721) |
Less than High School | 4.7% (1,597) | 5.8% (178) |
Bachelor's Degree and Higher | 34.3% (11,632) | 13.1% (404) |
Education Levels Comparison: Helena vs Central city
- A higher percentage of residents in Helena have no formal schooling at 0.1% compared to 0.0% in Central city.
- In Central city, the rate of residents with high school diplomas is higher at 23.4% compared to 10.0% in Helena.
- The percentage of residents with less than a high school education is higher in Central city at 5.8%, compared to 4.7% in Helena.
- A higher percentage of residents in Helena hold a bachelor's degree or higher at 34.3% compared to 13.1% 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.