Immigrants from Western Asia vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 53,237,514 people shows a significant positive correlation between the proportion of Crow within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of 0.603. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is an increase of 0.017% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to an increase of 16.8 Crow.

When considering income, the most significant differences between Immigrants from Western Asia and Crow communities in the United States are seen in per capita income ($46,876 compared to $31,729, a difference of 47.7%), householder income ages 45 - 64 years ($106,217 compared to $74,257, a difference of 43.0%), and median family income ($108,691 compared to $76,605, a difference of 41.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,190 compared to $47,012, a difference of 11.0%), median female earnings ($41,375 compared to $35,266, a difference of 17.3%), and householder income over 65 years ($62,645 compared to $49,234, a difference of 27.2%).

When considering poverty, the most significant differences between Immigrants from Western Asia and Crow communities in the United States are seen in single father poverty (16.0% compared to 30.3%, a difference of 88.8%), single male poverty (12.5% compared to 23.3%, a difference of 85.7%), and child poverty under the age of 5 (17.1% compared to 31.0%, a difference of 81.7%). Conversely, both communities are more comparable in terms of receiving food stamps (11.6% compared to 13.4%, a difference of 15.4%), seniors poverty over the age of 75 (12.9% compared to 15.9%, a difference of 23.3%), and seniors poverty over the age of 65 (11.4% compared to 15.2%, a difference of 33.7%).

When considering unemployment, the most significant differences between Immigrants from Western Asia and Crow communities in the United States are seen in unemployment among seniors over 65 years (5.2% compared to 16.9%, a difference of 226.7%), unemployment among ages 35 to 44 years (4.8% compared to 15.7%, a difference of 225.7%), and unemployment among ages 65 to 74 years (5.4% compared to 17.4%, a difference of 219.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 1.1%), unemployment among women with children ages 6 to 17 years (8.7% compared to 9.2%, a difference of 6.2%), and unemployment among ages 55 to 59 years (5.0% compared to 5.9%, a difference of 17.8%).

When considering labor participation, the most significant differences between Immigrants from Western Asia and Crow communities in the United States are seen in in labor force | age 30-34 (84.3% compared to 75.9%, a difference of 11.1%), in labor force | age 16-19 (34.8% compared to 38.5%, a difference of 10.7%), and in labor force | age 35-44 (83.8% compared to 76.5%, a difference of 9.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.5% compared to 76.9%, a difference of 4.5%), in labor force | age 45-54 (82.4% compared to 78.3%, a difference of 5.3%), and in labor force | age 25-29 (84.1% compared to 78.6%, a difference of 7.0%).

When considering family structure, the most significant differences between Immigrants from Western Asia and Crow communities in the United States are seen in single father households (2.1% compared to 3.5%, a difference of 70.6%), births to unmarried women (27.2% compared to 40.4%, a difference of 48.3%), and single mother households (5.7% compared to 7.4%, a difference of 30.1%). Conversely, both communities are more comparable in terms of family households with children (27.9% compared to 27.4%, a difference of 1.8%), family households (64.1% compared to 65.3%, a difference of 1.9%), and married-couple households (46.9% compared to 41.4%, a difference of 13.5%).

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and Crow communities in the United States are seen in 4 or more vehicles in household (5.9% compared to 7.8%, a difference of 31.2%), 3 or more vehicles in household (18.4% compared to 22.5%, a difference of 22.1%), and 2 or more vehicles in household (54.1% compared to 55.7%, a difference of 3.0%). Conversely, both communities are more comparable in terms of no vehicles in household (11.0% compared to 11.0%, a difference of 0.090%), 1 or more vehicles in household (89.0% compared to 89.3%, a difference of 0.33%), and 2 or more vehicles in household (54.1% compared to 55.7%, a difference of 3.0%).

When considering education level, the most significant differences between Immigrants from Western Asia and Crow communities in the United States are seen in professional degree (5.4% compared to 3.2%, a difference of 71.2%), master's degree (17.5% compared to 10.6%, a difference of 64.2%), and bachelor's degree (42.3% compared to 27.7%, a difference of 52.3%). Conversely, both communities are more comparable in terms of 11th grade (92.4% compared to 92.9%, a difference of 0.56%), high school diploma (89.1% compared to 88.4%, a difference of 0.78%), and 12th grade, no diploma (91.2% compared to 90.0%, a difference of 1.3%).

When considering disability, the most significant differences between Immigrants from Western Asia and Crow communities in the United States are seen in hearing disability (2.9% compared to 4.2%, a difference of 45.5%), disability age 35 to 64 (10.4% compared to 14.6%, a difference of 40.6%), and disability age 18 to 34 (6.1% compared to 8.3%, a difference of 36.0%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 17.3%, a difference of 0.30%), disability age over 75 (48.0% compared to 49.6%, a difference of 3.3%), and self-care disability (2.6% compared to 2.5%, a difference of 3.9%).