Immigrants from Eastern Asia vs Choctaw Community Comparison

The statistical analysis conducted on geographies consisting of 255,023,527 people shows a moderate negative correlation between the proportion of Choctaw within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.431. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.002% in Choctaw. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 2.3 Choctaw.

When considering income, the most significant differences between Immigrants from Eastern Asia and Choctaw communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $78,168, a difference of 51.0%), median household income ($104,796 compared to $69,947, a difference of 49.8%), and per capita income ($53,806 compared to $35,999, a difference of 49.5%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 28.1%, a difference of 4.0%), householder income under 25 years ($57,123 compared to $45,450, a difference of 25.7%), and householder income over 65 years ($69,872 compared to $53,060, a difference of 31.7%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Choctaw communities in the United States are seen in child poverty under the age of 5 (13.5% compared to 23.5%, a difference of 73.8%), female poverty among 25-34 year olds (11.2% compared to 18.1%, a difference of 61.1%), and child poverty under the age of 16 (13.1% compared to 21.0%, a difference of 60.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.8% compared to 12.5%, a difference of 2.0%), seniors poverty over the age of 65 (11.1% compared to 11.4%, a difference of 2.8%), and female poverty among 18-24 year olds (19.8% compared to 24.3%, a difference of 22.8%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Choctaw communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 9.8%, a difference of 55.3%), unemployment among women with children ages 6 to 17 years (7.7% compared to 9.9%, a difference of 28.5%), and unemployment among ages 30 to 34 years (5.1% compared to 6.4%, a difference of 25.2%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.3% compared to 10.6%, a difference of 3.1%), unemployment among ages 55 to 59 years (4.8% compared to 5.0%, a difference of 3.8%), and unemployment among youth under 25 years (11.5% compared to 12.1%, a difference of 4.7%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Choctaw communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 38.0%, a difference of 18.6%), in labor force | age > 16 (65.7% compared to 61.5%, a difference of 6.8%), and in labor force | age 45-54 (83.4% compared to 78.2%, a difference of 6.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (71.8% compared to 74.7%, a difference of 4.1%), in labor force | age 25-29 (84.8% compared to 81.0%, a difference of 4.7%), and in labor force | age 30-34 (85.4% compared to 81.4%, a difference of 4.8%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Choctaw communities in the United States are seen in births to unmarried women (25.0% compared to 36.9%, a difference of 47.3%), single father households (1.9% compared to 2.7%, a difference of 43.7%), and single mother households (5.1% compared to 7.0%, a difference of 38.2%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 64.9%, a difference of 0.060%), average family size (3.22 compared to 3.21, a difference of 0.25%), and family households with children (27.7% compared to 28.1%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Choctaw communities in the United States are seen in no vehicles in household (13.5% compared to 7.9%, a difference of 71.8%), 4 or more vehicles in household (6.2% compared to 7.8%, a difference of 25.4%), and 3 or more vehicles in household (18.8% compared to 23.0%, a difference of 22.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 92.2%, a difference of 6.6%), 2 or more vehicles in household (53.2% compared to 59.3%, a difference of 11.3%), and 3 or more vehicles in household (18.8% compared to 23.0%, a difference of 22.1%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Choctaw communities in the United States are seen in doctorate degree (3.0% compared to 1.4%, a difference of 104.9%), professional degree (6.6% compared to 3.2%, a difference of 103.4%), and master's degree (20.8% compared to 11.0%, a difference of 88.8%). Conversely, both communities are more comparable in terms of 10th grade (93.6% compared to 93.6%, a difference of 0.020%), 9th grade (94.6% compared to 95.1%, a difference of 0.54%), and nursery school (97.7% compared to 98.3%, a difference of 0.62%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Choctaw communities in the United States are seen in disability age 35 to 64 (8.8% compared to 16.4%, a difference of 86.8%), disability age under 5 (1.0% compared to 1.9%, a difference of 83.4%), and vision disability (1.8% compared to 3.3%, a difference of 80.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 18.4%, a difference of 9.7%), disability age over 75 (46.2% compared to 52.7%, a difference of 14.1%), and self-care disability (2.3% compared to 3.0%, a difference of 31.2%).