Creek vs Asian Community Comparison

The statistical analysis conducted on geographies consisting of 176,536,996 people shows a slight positive correlation between the proportion of Asians within Creek communities in the United States with a correlation coefficient (R) of 0.058. On average, for every 1% (one percent) increase in Creek within a typical geography, there is an increase of 0.014% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Creek corresponds to an increase of 13.8 Asians.

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

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

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

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

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

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

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

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