Demographics details for Arma, KS vs Sugar land, TX
Population Overview
Compare main population characteristics in Arma, KS vs Sugar land, TX.
| Data | Arma | Sugar land |
|---|---|---|
| Population | 1,399 | 109,414 |
| Median Age | 53.0 years | 42.5 years |
| Median Income | $38,947 | $132,247 |
| Married Families | 33.0% | 52.0% |
| Poverty Level | 13% | 6% |
| Unemployment Rate | 4.0 | 4.0 |
Population Comparison: Arma vs Sugar land
- The population in Sugar land is higher at 109,414, compared to 1,399 in Arma.
- Residents in Arma have a higher median age of 53.0 years compared to 42.5 years in Sugar land.
- Sugar land has a higher median income of $132,247, compared to $38,947 in Arma.
- In Sugar land, the percentage of married families is higher at 52.0%, compared to 33.0% in Arma.
- Arma has a higher poverty level at 13% compared to 6% in Sugar land.
- The unemployment rate is the same in both Arma and Sugar land at 4.0%.
Demographics
Demographics Arma vs Sugar land provide insight into the diversity of the communities to compare.
| Demographic | Arma | Sugar land |
|---|---|---|
| Black | 1 | 7 |
| White | 90 | 33 |
| Asian | Data is updating | 39 |
| Hispanic | 5 | 13 |
| Two or More Races | 3 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Arma vs Sugar land
- In Sugar land, the percentage of Black residents is higher at 7% compared to 1% in Arma.
- Arma has a higher percentage of White residents at 90% compared to 33% in Sugar land.
- In Sugar land, the Asian population stands at 39%, greater than 0% in Arma.
- Sugar land has a higher percentage of Hispanic residents at 13%, compared to 5% in Arma.
- The percentage of residents identifying as two or more races is higher in Sugar land at 8%, compared to 3% in Arma.
- A greater percentage of American Indian residents live in Arma at 1% compared to 0% in Sugar land.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Arma | Sugar land |
|---|---|---|
| Mental Health Not Good | 19.1% | 12.5% |
| Physical Health Not Good | 11.9% | 7.4% |
| Depression | 25.3% | 16.9% |
| Smoking | 23.7% | 9.6% |
| Binge Drinking | 21.0% | 16.0% |
| Obesity | 41.9% | 25.0% |
| Disability Percentage | 28.0% | 7.0% |
Health Statistics Comparison: Arma vs Sugar land
- More residents in Arma report poor mental health at 19.1% compared to 12.5% in Sugar land.
- Depression is more prevalent in Arma at 25.3% compared to 16.9% in Sugar land.
- Smoking is more prevalent in Arma at 23.7% compared to 9.6% in Sugar land.
- Binge drinking is more common in Arma at 21.0% compared to 16.0% in Sugar land.
- Obesity rates are higher in Arma at 41.9% compared to 25.0% in Sugar land.
- Disability percentages are higher in Arma at 28.0% compared to 7.0% in Sugar land.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Arma | Sugar land |
|---|---|---|
| No Schooling | 0.8% (11) | 1.2% (1,314) |
| High School Diploma | 25.4% (356) | 7.3% (7,972) |
| Less than High School | 8.4% (118) | 4.3% (4,753) |
| Bachelor's Degree and Higher | 12.9% (181) | 42.8% (46,851) |
Education Levels Comparison: Arma vs Sugar land
- In Sugar land, a larger percentage of residents lack formal schooling at 1.2% compared to 0.8% in Arma.
- A higher percentage of residents in Arma hold a high school diploma at 25.4% compared to 7.3% in Sugar land.
- More residents in Arma have less than a high school education at 8.4% compared to 4.3% in Sugar land.
- In Sugar land, a larger share of residents have a bachelor's degree or higher at 42.8% compared to 12.9% in Arma.
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.