Demographics details for Carrollton, TX vs Mount pleasant, SC

Population Overview

Compare main population characteristics in Carrollton, TX vs Mount pleasant, SC.

Data Carrollton Mount pleasant
Population 133,820 94,545
Median Age 38.6 years 42.4 years
Median Income $95,380 $115,167
Married Families 44.0% 47.0%
Poverty Level 9% 5%
Unemployment Rate 3.7 3.2

Population Comparison: Carrollton vs Mount pleasant

  • In Carrollton, the population is higher at 133,820, compared to 94,545 in Mount pleasant.
  • The median age in Mount pleasant is higher at 42.4 years, compared to 38.6 years in Carrollton.
  • Mount pleasant has a higher median income of $115,167, compared to $95,380 in Carrollton.
  • In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 44.0% in Carrollton.
  • Carrollton has a higher poverty level at 9% compared to 5% in Mount pleasant.
  • The unemployment rate in Carrollton is higher at 3.7%, compared to 3.2% in Mount pleasant.

Demographics

Demographics Carrollton vs Mount pleasant provide insight into the diversity of the communities to compare.

Demographic Carrollton Mount pleasant
Black 10 4
White 31 90
Asian 15 2
Hispanic 32 2
Two or More Races 12 2
American Indian Data is updating Data is updating

Demographics Comparison: Carrollton vs Mount pleasant

  • A higher percentage of Black residents are in Carrollton at 10% compared to 4% in Mount pleasant.
  • The percentage of White residents is higher in Mount pleasant at 90% compared to 31% in Carrollton.
  • The Asian population is larger in Carrollton at 15% compared to 2% in Mount pleasant.
  • The Hispanic community is larger in Carrollton at 32% compared to 2% in Mount pleasant.
  • More residents identify as two or more races in Carrollton at 12% compared to 2% in Mount pleasant.
  • The percentage of American Indian residents is the same in both Carrollton and Mount pleasant at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Carrollton Mount pleasant
Mental Health Not Good 15.1% 13.7%
Physical Health Not Good 10.1% 7.6%
Depression 20.9% 19.5%
Smoking 13.5% 9.8%
Binge Drinking 17.7% 25.5%
Obesity 31.5% 26.9%
Disability Percentage 7.0% 6.0%

Health Statistics Comparison: Carrollton vs Mount pleasant

  • More residents in Carrollton report poor mental health at 15.1% compared to 13.7% in Mount pleasant.
  • Depression is more prevalent in Carrollton at 20.9% compared to 19.5% in Mount pleasant.
  • Smoking is more prevalent in Carrollton at 13.5% compared to 9.8% in Mount pleasant.
  • More residents engage in binge drinking in Mount pleasant at 25.5% compared to 17.7% in Carrollton.
  • Obesity rates are higher in Carrollton at 31.5% compared to 26.9% in Mount pleasant.
  • Disability percentages are higher in Carrollton at 7.0% compared to 6.0% in Mount pleasant.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Carrollton Mount pleasant
No Schooling 1.6% (2,169) 0.3% (259)
High School Diploma 12.3% (16,432) 5.8% (5,499)
Less than High School 13.2% (17,673) 2.7% (2,577)
Bachelor's Degree and Higher 29.8% (39,921) 46.2% (43,679)

Education Levels Comparison: Carrollton vs Mount pleasant

  • A higher percentage of residents in Carrollton have no formal schooling at 1.6% compared to 0.3% in Mount pleasant.
  • A higher percentage of residents in Carrollton hold a high school diploma at 12.3% compared to 5.8% in Mount pleasant.
  • More residents in Carrollton have less than a high school education at 13.2% compared to 2.7% in Mount pleasant.
  • In Mount pleasant, a larger share of residents have a bachelor's degree or higher at 46.2% compared to 29.8% in Carrollton.

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.