Asian vs Creek Community Comparison

The statistical analysis conducted on geographies consisting of 169,632,943 people shows a moderate negative correlation between the proportion of Creek within Asian communities in the United States with a correlation coefficient (R) of -0.426. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.001% in Creek. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 1.0 Creek.

When considering income, the most significant differences between Asian and Creek communities in the United States are seen in householder income ages 25 - 44 years ($112,666 compared to $74,847, a difference of 50.5%), median household income ($101,681 compared to $67,715, a difference of 50.2%), and householder income ages 45 - 64 years ($118,426 compared to $78,960, a difference of 50.0%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 27.1%, a difference of 0.73%), householder income under 25 years ($57,003 compared to $45,371, a difference of 25.6%), and householder income over 65 years ($68,822 compared to $51,949, a difference of 32.5%).

When considering poverty, the most significant differences between Asian and Creek communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 24.2%, a difference of 73.4%), female poverty among 25-34 year olds (11.4% compared to 19.2%, a difference of 67.9%), and child poverty under the age of 16 (13.5% compared to 21.5%, a difference of 59.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 11.6%, a difference of 3.9%), seniors poverty over the age of 65 (10.4% compared to 10.9%, a difference of 5.1%), and married-couple family poverty (4.7% compared to 6.2%, a difference of 32.5%).

When considering unemployment, the most significant differences between Asian and Creek communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 8.9%, a difference of 33.6%), unemployment among ages 30 to 34 years (5.1% compared to 6.6%, a difference of 27.9%), and unemployment among ages 35 to 44 years (4.4% compared to 5.4%, a difference of 22.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.9% compared to 17.2%, a difference of 1.9%), unemployment among youth under 25 years (11.4% compared to 11.2%, a difference of 2.3%), and unemployment among ages 55 to 59 years (4.7% compared to 4.9%, a difference of 4.4%).

When considering labor participation, the most significant differences between Asian and Creek communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 39.1%, a difference of 14.9%), in labor force | age > 16 (66.2% compared to 61.3%, a difference of 8.0%), and in labor force | age 45-54 (83.4% compared to 77.7%, a difference of 7.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.7% compared to 74.5%, a difference of 1.2%), in labor force | age 25-29 (84.8% compared to 80.7%, a difference of 5.2%), and in labor force | age 35-44 (84.7% compared to 80.0%, a difference of 5.8%).

When considering family structure, the most significant differences between Asian and Creek communities in the United States are seen in births to unmarried women (26.8% compared to 37.6%, a difference of 40.3%), divorced or separated (10.6% compared to 14.4%, a difference of 35.5%), and single mother households (5.6% compared to 7.0%, a difference of 25.6%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.20, a difference of 2.5%), family households (66.5% compared to 64.2%, a difference of 3.7%), and currently married (48.4% compared to 46.0%, a difference of 5.3%).

When considering vehicle availability, the most significant differences between Asian and Creek communities in the United States are seen in no vehicles in household (9.0% compared to 7.8%, a difference of 15.4%), 3 or more vehicles in household (20.8% compared to 21.9%, a difference of 5.6%), and 4 or more vehicles in household (7.0% compared to 7.2%, a difference of 2.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 92.3%, a difference of 1.3%), 2 or more vehicles in household (57.0% compared to 58.3%, a difference of 2.3%), and 4 or more vehicles in household (7.0% compared to 7.2%, a difference of 2.6%).

When considering education level, the most significant differences between Asian and Creek communities in the United States are seen in doctorate degree (2.4% compared to 1.3%, a difference of 80.4%), professional degree (5.5% compared to 3.1%, a difference of 77.9%), and master's degree (18.4% compared to 10.5%, a difference of 75.4%). Conversely, both communities are more comparable in terms of 11th grade (92.5% compared to 92.4%, a difference of 0.090%), nursery school (97.6% compared to 98.4%, a difference of 0.79%), and kindergarten (97.6% compared to 98.4%, a difference of 0.80%).

When considering disability, the most significant differences between Asian and Creek communities in the United States are seen in disability age 35 to 64 (9.4% compared to 16.9%, a difference of 80.0%), vision disability (1.9% compared to 3.2%, a difference of 68.7%), and hearing disability (2.7% compared to 4.4%, a difference of 59.6%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 18.3%, a difference of 9.1%), disability age over 75 (46.9% compared to 51.5%, a difference of 9.6%), and self-care disability (2.3% compared to 2.8%, a difference of 21.9%).