Immigrants from Western Asia vs Chickasaw Community Comparison

The statistical analysis conducted on geographies consisting of 130,345,743 people shows a mild negative correlation between the proportion of Chickasaw within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of -0.380. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is a decrease of 0.002% in Chickasaw. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to a decrease of 2.2 Chickasaw.

When considering income, the most significant differences between Immigrants from Western Asia and Chickasaw communities in the United States are seen in householder income ages 45 - 64 years ($106,217 compared to $82,193, a difference of 29.2%), median household income ($90,005 compared to $70,005, a difference of 28.6%), and per capita income ($46,876 compared to $36,475, a difference of 28.5%). Conversely, both communities are more comparable in terms of wage/income gap (26.3% compared to 27.2%, a difference of 3.3%), householder income under 25 years ($52,190 compared to $44,763, a difference of 16.6%), and householder income over 65 years ($62,645 compared to $53,732, a difference of 16.6%).

When considering poverty, the most significant differences between Immigrants from Western Asia and Chickasaw communities in the United States are seen in female poverty among 25-34 year olds (12.8% compared to 17.0%, a difference of 32.8%), single female poverty (19.9% compared to 26.3%, a difference of 31.9%), and single male poverty (12.5% compared to 16.3%, a difference of 30.3%). Conversely, both communities are more comparable in terms of married-couple family poverty (6.0% compared to 5.8%, a difference of 2.9%), seniors poverty over the age of 65 (11.4% compared to 10.7%, a difference of 6.5%), and seniors poverty over the age of 75 (12.9% compared to 11.6%, a difference of 11.1%).

When considering unemployment, the most significant differences between Immigrants from Western Asia and Chickasaw communities in the United States are seen in unemployment among seniors over 75 years (9.0% compared to 7.3%, a difference of 22.2%), unemployment among women with children under 6 years (7.5% compared to 9.0%, a difference of 18.9%), and unemployment among seniors over 65 years (5.2% compared to 4.4%, a difference of 17.1%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.7% compared to 6.7%, a difference of 0.10%), unemployment among women with children ages 6 to 17 years (8.7% compared to 8.6%, a difference of 1.3%), and unemployment among ages 35 to 44 years (4.8% compared to 4.9%, a difference of 2.1%).

When considering labor participation, the most significant differences between Immigrants from Western Asia and Chickasaw communities in the United States are seen in in labor force | age 16-19 (34.8% compared to 38.3%, a difference of 10.2%), in labor force | age > 16 (65.3% compared to 62.3%, a difference of 4.8%), and in labor force | age 45-54 (82.4% compared to 79.0%, a difference of 4.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.5% compared to 74.5%, a difference of 1.2%), in labor force | age 25-29 (84.1% compared to 81.9%, a difference of 2.7%), and in labor force | age 30-34 (84.3% compared to 81.9%, a difference of 2.9%).

When considering family structure, the most significant differences between Immigrants from Western Asia and Chickasaw communities in the United States are seen in single father households (2.1% compared to 2.8%, a difference of 33.6%), births to unmarried women (27.2% compared to 36.3%, a difference of 33.3%), and divorced or separated (11.2% compared to 14.2%, a difference of 27.0%). Conversely, both communities are more comparable in terms of family households (64.1% compared to 64.4%, a difference of 0.52%), currently married (46.9% compared to 46.6%, a difference of 0.62%), and family households with children (27.9% compared to 28.2%, a difference of 1.3%).

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and Chickasaw communities in the United States are seen in no vehicles in household (11.0% compared to 7.9%, a difference of 40.6%), 4 or more vehicles in household (5.9% compared to 7.4%, a difference of 25.4%), and 3 or more vehicles in household (18.4% compared to 22.2%, a difference of 20.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 92.3%, a difference of 3.7%), 2 or more vehicles in household (54.1% compared to 59.0%, a difference of 9.1%), and 3 or more vehicles in household (18.4% compared to 22.2%, a difference of 20.6%).

When considering education level, the most significant differences between Immigrants from Western Asia and Chickasaw communities in the United States are seen in professional degree (5.4% compared to 3.4%, a difference of 60.9%), master's degree (17.5% compared to 11.4%, a difference of 52.9%), and doctorate degree (2.2% compared to 1.5%, a difference of 48.9%). Conversely, both communities are more comparable in terms of 11th grade (92.4% compared to 92.3%, a difference of 0.040%), 10th grade (93.4% compared to 94.1%, a difference of 0.65%), and nursery school (97.7% compared to 98.4%, a difference of 0.71%).

When considering disability, the most significant differences between Immigrants from Western Asia and Chickasaw communities in the United States are seen in disability age under 5 (1.1% compared to 1.7%, a difference of 57.4%), hearing disability (2.9% compared to 4.5%, a difference of 56.4%), and vision disability (2.0% compared to 3.2%, a difference of 55.7%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 18.5%, a difference of 6.4%), disability age over 75 (48.0% compared to 51.2%, a difference of 6.6%), and self-care disability (2.6% compared to 2.9%, a difference of 9.4%).