Asian vs Kiowa Community Comparison

The statistical analysis conducted on geographies consisting of 54,795,031 people shows a mild negative correlation between the proportion of Kiowa within Asian communities in the United States with a correlation coefficient (R) of -0.307. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.001% in Kiowa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 0.9 Kiowa.

When considering income, the most significant differences between Asian and Kiowa communities in the United States are seen in householder income ages 45 - 64 years ($118,426 compared to $74,815, a difference of 58.3%), median household income ($101,681 compared to $65,914, a difference of 54.3%), and householder income ages 25 - 44 years ($112,666 compared to $74,776, a difference of 50.7%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 23.6%, a difference of 14.1%), householder income under 25 years ($57,003 compared to $44,733, a difference of 27.4%), and median female earnings ($44,586 compared to $34,074, a difference of 30.8%).

When considering poverty, the most significant differences between Asian and Kiowa communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 24.5%, a difference of 75.2%), child poverty among girls under 16 (13.7% compared to 23.7%, a difference of 73.3%), and female poverty among 25-34 year olds (11.4% compared to 19.7%, a difference of 72.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 12.3%, a difference of 2.7%), seniors poverty over the age of 65 (10.4% compared to 12.8%, a difference of 22.9%), and single mother poverty (26.0% compared to 35.5%, a difference of 36.6%).

When considering unemployment, the most significant differences between Asian and Kiowa communities in the United States are seen in unemployment among ages 16 to 19 years (16.9% compared to 25.2%, a difference of 49.3%), unemployment among ages 30 to 34 years (5.1% compared to 6.7%, a difference of 30.7%), and unemployment among ages 60 to 64 years (4.9% compared to 6.2%, a difference of 27.2%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.1%, a difference of 2.3%), unemployment among ages 20 to 24 years (10.2% compared to 10.5%, a difference of 3.0%), and unemployment among seniors over 65 years (5.1% compared to 4.8%, a difference of 4.4%).

When considering labor participation, the most significant differences between Asian and Kiowa communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 37.2%, a difference of 9.2%), in labor force | age 35-44 (84.7% compared to 79.2%, a difference of 6.9%), and in labor force | age 20-64 (80.2% compared to 75.0%, a difference of 6.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.7% compared to 73.2%, a difference of 0.61%), in labor force | age 25-29 (84.8% compared to 81.6%, a difference of 4.0%), and in labor force | age > 16 (66.2% compared to 62.4%, a difference of 6.1%).

When considering family structure, the most significant differences between Asian and Kiowa communities in the United States are seen in births to unmarried women (26.8% compared to 43.1%, a difference of 61.0%), divorced or separated (10.6% compared to 14.5%, a difference of 36.5%), and single father households (2.1% compared to 2.8%, a difference of 32.9%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.27, a difference of 0.26%), family households with children (29.1% compared to 27.3%, a difference of 6.6%), and family households (66.5% compared to 61.4%, a difference of 8.3%).

When considering vehicle availability, the most significant differences between Asian and Kiowa communities in the United States are seen in no vehicles in household (9.0% compared to 11.5%, a difference of 28.5%), 4 or more vehicles in household (7.0% compared to 6.2%, a difference of 12.6%), and 3 or more vehicles in household (20.8% compared to 19.5%, a difference of 6.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 88.6%, a difference of 2.9%), 2 or more vehicles in household (57.0% compared to 53.9%, a difference of 5.8%), and 3 or more vehicles in household (20.8% compared to 19.5%, a difference of 6.4%).

When considering education level, the most significant differences between Asian and Kiowa communities in the United States are seen in professional degree (5.5% compared to 3.1%, a difference of 78.7%), master's degree (18.4% compared to 10.8%, a difference of 70.3%), and doctorate degree (2.4% compared to 1.5%, a difference of 64.3%). Conversely, both communities are more comparable in terms of 11th grade (92.5% compared to 92.2%, a difference of 0.29%), 10th grade (93.5% compared to 93.9%, a difference of 0.50%), and nursery school (97.6% compared to 98.4%, a difference of 0.82%).

When considering disability, the most significant differences between Asian and Kiowa communities in the United States are seen in disability age 35 to 64 (9.4% compared to 17.4%, a difference of 85.0%), vision disability (1.9% compared to 3.3%, a difference of 71.1%), and ambulatory disability (5.4% compared to 8.6%, a difference of 59.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 18.7%, a difference of 11.7%), disability age over 75 (46.9% compared to 54.2%, a difference of 15.5%), and self-care disability (2.3% compared to 3.0%, a difference of 28.0%).