Immigrants from Eastern Asia vs Cherokee Community Comparison

The statistical analysis conducted on geographies consisting of 446,525,515 people shows a significant negative correlation between the proportion of Cherokee within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.611. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.005% in Cherokee. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 5.5 Cherokee.

When considering income, the most significant differences between Immigrants from Eastern Asia and Cherokee communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $80,843, a difference of 46.0%), per capita income ($53,806 compared to $37,203, a difference of 44.6%), and median household income ($104,796 compared to $72,682, a difference of 44.2%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 27.4%, a difference of 1.3%), householder income under 25 years ($57,123 compared to $47,848, a difference of 19.4%), and householder income over 65 years ($69,872 compared to $54,133, a difference of 29.1%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Cherokee communities in the United States are seen in child poverty under the age of 5 (13.5% compared to 21.7%, a difference of 60.5%), female poverty among 25-34 year olds (11.2% compared to 17.2%, a difference of 53.3%), and child poverty among girls under 16 (13.4% compared to 19.9%, a difference of 49.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.1% compared to 11.0%, a difference of 0.90%), seniors poverty over the age of 75 (12.8% compared to 12.0%, a difference of 6.3%), and female poverty among 18-24 year olds (19.8% compared to 22.7%, a difference of 14.7%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Cherokee communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 9.3%, a difference of 48.0%), unemployment among women with children ages 6 to 17 years (7.7% compared to 10.0%, a difference of 29.8%), and unemployment among seniors over 75 years (7.9% compared to 9.8%, a difference of 24.9%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 1.1%), unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.2%), and unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Cherokee communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 40.2%, a difference of 25.7%), in labor force | age > 16 (65.7% compared to 61.9%, a difference of 6.0%), and in labor force | age 20-24 (71.8% compared to 75.9%, a difference of 5.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 82.1%, a difference of 3.3%), in labor force | age 35-44 (84.7% compared to 81.4%, a difference of 4.1%), and in labor force | age 30-34 (85.4% compared to 81.6%, a difference of 4.6%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Cherokee communities in the United States are seen in births to unmarried women (25.0% compared to 36.7%, a difference of 46.4%), single father households (1.9% compared to 2.6%, a difference of 38.9%), and divorced or separated (10.2% compared to 13.7%, a difference of 34.1%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 65.0%, a difference of 0.060%), family households with children (27.7% compared to 27.5%, a difference of 0.67%), and average family size (3.22 compared to 3.18, a difference of 1.2%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Cherokee communities in the United States are seen in no vehicles in household (13.5% compared to 7.7%, a difference of 75.1%), 4 or more vehicles in household (6.2% compared to 7.7%, a difference of 24.6%), 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 92.4%, a difference of 6.8%), 2 or more vehicles in household (53.2% compared to 59.9%, a difference of 12.5%), 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 Cherokee communities in the United States are seen in doctorate degree (3.0% compared to 1.5%, a difference of 103.9%), professional degree (6.6% compared to 3.3%, a difference of 99.4%), and master's degree (20.8% compared to 11.4%, a difference of 83.3%). Conversely, both communities are more comparable in terms of 11th grade (92.7% compared to 92.4%, a difference of 0.33%), 10th grade (93.6% compared to 94.1%, a difference of 0.53%), and nursery school (97.7% compared to 98.3%, a difference of 0.69%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Cherokee communities in the United States are seen in disability age 35 to 64 (8.8% compared to 15.5%, a difference of 75.9%), disability age under 5 (1.0% compared to 1.8%, a difference of 73.4%), and vision disability (1.8% compared to 2.9%, a difference of 59.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 18.0%, a difference of 7.0%), disability age over 75 (46.2% compared to 50.2%, a difference of 8.8%), and self-care disability (2.3% compared to 2.9%, a difference of 24.9%).