Demographics details for Topeka, KS vs Elm city, NC
Population Overview
Compare main population characteristics in Topeka, KS vs Elm city, NC.
| Data | Topeka | Elm city |
|---|---|---|
| Population | 125,449 | 1,204 |
| Median Age | 37.9 years | 48.0 years |
| Median Income | $54,052 | $48,125 |
| Married Families | 34.0% | 43.0% |
| Poverty Level | 14% | 15% |
| Unemployment Rate | 3.7 | 5.1 |
Population Comparison: Topeka vs Elm city
- In Topeka, the population is higher at 125,449, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 37.9 years in Topeka.
- Topeka has a higher median income of $54,052 compared to $48,125 in Elm city.
- In Elm city, the percentage of married families is higher at 43.0%, compared to 34.0% in Topeka.
- The poverty level is higher in Elm city at 15%, compared to 14% in Topeka.
- Elm city has a higher unemployment rate at 5.1% compared to 3.7% in Topeka.
Demographics
Demographics Topeka vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Topeka | Elm city |
|---|---|---|
| Black | 10 | 60 |
| White | 62 | 25 |
| Asian | 2 | 3 |
| Hispanic | 16 | 11 |
| Two or More Races | 9 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Topeka vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 10% in Topeka.
- Topeka has a higher percentage of White residents at 62% compared to 25% in Elm city.
- In Elm city, the Asian population stands at 3%, greater than 2% in Topeka.
- The Hispanic community is larger in Topeka at 16% compared to 11% in Elm city.
- More residents identify as two or more races in Topeka at 9% compared to 1% in Elm city.
- A greater percentage of American Indian residents live in Topeka at 1% compared to 0% in Elm city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Topeka | Elm city |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.8% |
| Physical Health Not Good | 11.3% | 12.0% |
| Depression | 25.5% | 21.2% |
| Smoking | 20.8% | 18.8% |
| Binge Drinking | 16.9% | 15.7% |
| Obesity | 41.0% | 37.9% |
| Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Topeka vs Elm city
- More residents in Topeka report poor mental health at 18.3% compared to 16.8% in Elm city.
- Depression is more prevalent in Topeka at 25.5% compared to 21.2% in Elm city.
- Smoking is more prevalent in Topeka at 20.8% compared to 18.8% in Elm city.
- Binge drinking is more common in Topeka at 16.9% compared to 15.7% in Elm city.
- Obesity rates are higher in Topeka at 41.0% compared to 37.9% in Elm city.
- There is a higher percentage of disabled individuals in Elm city at 19.0% compared to 15.0% in Topeka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Topeka | Elm city |
|---|---|---|
| No Schooling | 1.1% (1,326) | 0.7% (8) |
| High School Diploma | 17.2% (21,594) | 24.1% (290) |
| Less than High School | 10.9% (13,657) | 15.1% (182) |
| Bachelor's Degree and Higher | 19.3% (24,214) | 11.5% (139) |
Education Levels Comparison: Topeka vs Elm city
- A higher percentage of residents in Topeka have no formal schooling at 1.1% compared to 0.7% in Elm city.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 17.2% in Topeka.
- The percentage of residents with less than a high school education is higher in Elm city at 15.1%, compared to 10.9% in Topeka.
- A higher percentage of residents in Topeka hold a bachelor's degree or higher at 19.3% compared to 11.5% in Elm 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.