Demographics details for Bern, KS vs Charlotte, NC
Population Overview
Compare main population characteristics in Bern, KS vs Charlotte, NC.
Data | Bern | Charlotte |
---|---|---|
Population | 161 | 897,720 |
Median Age | 50.9 years | 34.5 years |
Median Income | $61,250 | $74,070 |
Married Families | 38.0% | 33.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Bern vs Charlotte
- The population in Charlotte is higher at 897,720, compared to 161 in Bern.
- Residents in Bern have a higher median age of 50.9 years compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070, compared to $61,250 in Bern.
- A higher percentage of married families is found in Bern at 38.0% compared to 33.0% in Charlotte.
- The poverty level is higher in Charlotte at 12%, compared to 9% in Bern.
- Charlotte has a higher unemployment rate at 4.0% compared to 3.5% in Bern.
Demographics
Demographics Bern vs Charlotte provide insight into the diversity of the communities to compare.
Demographic | Bern | Charlotte |
---|---|---|
Black | Data is updating | 34 |
White | 91 | 38 |
Asian | Data is updating | 6 |
Hispanic | Data is updating | 15 |
Two or More Races | 9 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bern vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 34% compared to 0% in Bern.
- Bern has a higher percentage of White residents at 91% compared to 38% in Charlotte.
- In Charlotte, the Asian population stands at 6%, greater than 0% in Bern.
- Charlotte has a higher percentage of Hispanic residents at 15%, compared to 0% in Bern.
- More residents identify as two or more races in Bern at 9% compared to 7% in Charlotte.
- The percentage of American Indian residents is the same in both Bern and Charlotte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bern | Charlotte |
---|---|---|
Mental Health Not Good | 15.2% | 14.7% |
Physical Health Not Good | 10.2% | 10.1% |
Depression | 19.1% | 20.1% |
Smoking | 17.9% | 13.9% |
Binge Drinking | 20.1% | 17.5% |
Obesity | 39.2% | 34.7% |
Disability Percentage | 7.0% | 8.0% |
Health Statistics Comparison: Bern vs Charlotte
- More residents in Bern report poor mental health at 15.2% compared to 14.7% in Charlotte.
- Higher depression rates are seen in Charlotte at 20.1% versus 19.1% in Bern.
- Smoking is more prevalent in Bern at 17.9% compared to 13.9% in Charlotte.
- Binge drinking is more common in Bern at 20.1% compared to 17.5% in Charlotte.
- Obesity rates are higher in Bern at 39.2% compared to 34.7% in Charlotte.
- There is a higher percentage of disabled individuals in Charlotte at 8.0% compared to 7.0% in Bern.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bern | Charlotte |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (10,429) |
High School Diploma | 19.3% (31) | 9.4% (84,002) |
Less than High School | 9.9% (16) | 10.7% (95,990) |
Bachelor's Degree and Higher | 20.5% (33) | 30.6% (274,311) |
Education Levels Comparison: Bern vs Charlotte
- In Charlotte, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Bern.
- A higher percentage of residents in Bern hold a high school diploma at 19.3% compared to 9.4% in Charlotte.
- The percentage of residents with less than a high school education is higher in Charlotte at 10.7%, compared to 9.9% in Bern.
- In Charlotte, a larger share of residents have a bachelor's degree or higher at 30.6% compared to 20.5% in Bern.
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.