Immigrants from South Central Asia vs Kiowa Community Comparison

The statistical analysis conducted on geographies consisting of 54,414,189 people shows a weak positive correlation between the proportion of Kiowa within Immigrant from South Central Asia communities in the United States with a correlation coefficient (R) of 0.211. On average, for every 1% (one percent) increase in Immigrants from South Central Asia within a typical geography, there is an increase of 0.003% in Kiowa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Central Asia corresponds to an increase of 2.9 Kiowa.

When considering income, the most significant differences between Immigrants from South Central Asia and Kiowa communities in the United States are seen in householder income ages 45 - 64 years ($124,188 compared to $74,815, a difference of 66.0%), median household income ($106,057 compared to $65,914, a difference of 60.9%), and householder income ages 25 - 44 years ($116,626 compared to $74,776, a difference of 56.0%). Conversely, both communities are more comparable in terms of wage/income gap (29.3% compared to 23.6%, a difference of 24.2%), householder income under 25 years ($57,818 compared to $44,733, a difference of 29.2%), and median female earnings ($46,324 compared to $34,074, a difference of 35.9%).

When considering poverty, the most significant differences between Immigrants from South Central Asia and Kiowa communities in the United States are seen in child poverty among girls under 16 (12.7% compared to 23.7%, a difference of 86.0%), child poverty under the age of 5 (13.3% compared to 24.5%, a difference of 84.5%), and female poverty among 25-34 year olds (10.8% compared to 19.7%, a difference of 82.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.4% compared to 12.3%, a difference of 8.4%), seniors poverty over the age of 65 (9.7% compared to 12.8%, a difference of 32.3%), and single mother poverty (25.3% compared to 35.5%, a difference of 40.4%).

When considering unemployment, the most significant differences between Immigrants from South Central Asia and Kiowa communities in the United States are seen in unemployment among ages 16 to 19 years (16.2% compared to 25.2%, a difference of 55.2%), unemployment among ages 30 to 34 years (4.9% compared to 6.7%, a difference of 37.4%), and unemployment among ages 60 to 64 years (4.7% compared to 6.2%, a difference of 30.6%). 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 2.2%), unemployment among seniors over 65 years (5.0% compared to 4.8%, a difference of 3.0%), and unemployment among ages 20 to 24 years (10.1% compared to 10.5%, a difference of 3.5%).

When considering labor participation, the most significant differences between Immigrants from South Central Asia and Kiowa communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 37.2%, a difference of 7.7%), in labor force | age 20-64 (80.7% compared to 75.0%, a difference of 7.7%), and in labor force | age > 16 (67.1% compared to 62.4%, a difference of 7.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.0% compared to 73.2%, a difference of 1.0%), in labor force | age 25-29 (85.2% compared to 81.6%, a difference of 4.5%), and in labor force | age 30-34 (85.1% compared to 79.8%, a difference of 6.6%).

When considering family structure, the most significant differences between Immigrants from South Central Asia and Kiowa communities in the United States are seen in births to unmarried women (24.7% compared to 43.1%, a difference of 74.8%), single father households (2.0% compared to 2.8%, a difference of 42.0%), and divorced or separated (10.4% compared to 14.5%, a difference of 39.2%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.27, a difference of 1.3%), family households (66.4% compared to 61.4%, a difference of 8.2%), and family households with children (30.0% compared to 27.3%, a difference of 10.2%).

When considering vehicle availability, the most significant differences between Immigrants from South Central Asia and Kiowa communities in the United States are seen in no vehicles in household (8.6% compared to 11.5%, a difference of 34.6%), 2 or more vehicles in household (56.6% compared to 53.9%, a difference of 5.1%), and 1 or more vehicles in household (91.5% compared to 88.6%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.3% compared to 19.5%, a difference of 0.93%), 4 or more vehicles in household (6.1% compared to 6.2%, a difference of 1.8%), and 1 or more vehicles in household (91.5% compared to 88.6%, a difference of 3.3%).

When considering education level, the most significant differences between Immigrants from South Central Asia and Kiowa communities in the United States are seen in professional degree (5.9% compared to 3.1%, a difference of 91.3%), master's degree (20.7% compared to 10.8%, a difference of 91.3%), and doctorate degree (2.6% compared to 1.5%, a difference of 77.8%). Conversely, both communities are more comparable in terms of 9th grade (95.4% compared to 95.4%, a difference of 0.010%), 8th grade (96.1% compared to 96.3%, a difference of 0.28%), and 3rd grade (97.8% compared to 98.2%, a difference of 0.41%).

When considering disability, the most significant differences between Immigrants from South Central Asia and Kiowa communities in the United States are seen in disability age 35 to 64 (8.9% compared to 17.4%, a difference of 95.9%), vision disability (1.8% compared to 3.3%, a difference of 82.1%), and ambulatory disability (5.1% compared to 8.6%, a difference of 68.5%). Conversely, both communities are more comparable in terms of cognitive disability (16.4% compared to 18.7%, a difference of 14.4%), disability age over 75 (46.0% compared to 54.2%, a difference of 17.9%), and self-care disability (2.2% compared to 3.0%, a difference of 35.7%).