Indian (Asian) vs Immigrants from Sierra Leone Community Comparison

The statistical analysis conducted on geographies consisting of 100,554,628 people shows a weak negative correlation between the proportion of Immigrants from Sierra Leone within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.244. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.002% in Immigrants from Sierra Leone. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 1.6 Immigrants from Sierra Leone.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Sierra Leone communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $93,115, a difference of 28.3%), per capita income ($53,874 compared to $42,752, a difference of 26.0%), and wage/income gap (26.4% compared to 21.4%, a difference of 23.4%). Conversely, both communities are more comparable in terms of householder income over 65 years ($70,238 compared to $66,009, a difference of 6.4%), householder income under 25 years ($58,239 compared to $54,190, a difference of 7.5%), and median female earnings ($46,481 compared to $42,214, a difference of 10.1%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Sierra Leone communities in the United States are seen in child poverty among boys under 16 (13.3% compared to 17.3%, a difference of 30.3%), receiving food stamps (9.6% compared to 12.5%, a difference of 30.1%), and child poverty under the age of 16 (13.1% compared to 17.1%, a difference of 29.9%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.2%, a difference of 2.2%), seniors poverty over the age of 65 (11.1% compared to 10.7%, a difference of 3.6%), and single mother poverty (25.8% compared to 26.9%, a difference of 4.3%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Sierra Leone communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.2%, a difference of 30.5%), unemployment among youth under 25 years (11.5% compared to 13.8%, a difference of 19.9%), and unemployment among ages 30 to 34 years (5.1% compared to 6.1%, a difference of 19.4%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 0.30%), unemployment among ages 45 to 54 years (4.5% compared to 4.6%, a difference of 1.6%), and unemployment among seniors over 65 years (5.2% compared to 5.4%, a difference of 4.0%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Sierra Leone communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 37.3%, a difference of 17.1%), in labor force | age 20-24 (71.9% compared to 75.8%, a difference of 5.4%), and in labor force | age > 16 (65.5% compared to 68.5%, a difference of 4.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 86.0%, a difference of 0.75%), in labor force | age 25-29 (84.7% compared to 85.7%, a difference of 1.1%), and in labor force | age 45-54 (83.3% compared to 84.4%, a difference of 1.3%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Sierra Leone communities in the United States are seen in single mother households (5.1% compared to 7.7%, a difference of 50.0%), births to unmarried women (25.3% compared to 34.2%, a difference of 35.5%), and single father households (1.9% compared to 2.5%, a difference of 28.9%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 64.3%, a difference of 1.3%), average family size (3.24 compared to 3.32, a difference of 2.5%), and family households with children (27.6% compared to 29.3%, a difference of 6.2%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Sierra Leone communities in the United States are seen in no vehicles in household (14.1% compared to 11.3%, a difference of 23.9%), 4 or more vehicles in household (6.4% compared to 6.1%, a difference of 5.3%), and 1 or more vehicles in household (86.0% compared to 88.7%, a difference of 3.1%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.1% compared to 53.2%, a difference of 0.24%), 3 or more vehicles in household (19.1% compared to 18.7%, a difference of 2.1%), and 1 or more vehicles in household (86.0% compared to 88.7%, a difference of 3.1%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Sierra Leone communities in the United States are seen in doctorate degree (2.9% compared to 2.0%, a difference of 46.4%), professional degree (6.5% compared to 4.5%, a difference of 46.1%), and master's degree (20.5% compared to 16.3%, a difference of 25.5%). Conversely, both communities are more comparable in terms of 7th grade (95.5% compared to 95.5%, a difference of 0.020%), 1st grade (97.5% compared to 97.5%, a difference of 0.040%), and 2nd grade (97.5% compared to 97.4%, a difference of 0.040%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Sierra Leone communities in the United States are seen in disability age 5 to 17 (4.6% compared to 5.8%, a difference of 26.5%), disability age under 5 (1.0% compared to 1.3%, a difference of 25.3%), and disability age 35 to 64 (8.9% compared to 11.0%, a difference of 24.3%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.2%, a difference of 1.4%), self-care disability (2.3% compared to 2.4%, a difference of 2.4%), and cognitive disability (16.8% compared to 17.6%, a difference of 4.5%).