Immigrants from South Eastern Asia vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 58,275,330 people shows a mild positive correlation between the proportion of Crow within Immigrant from South Eastern Asia communities in the United States with a correlation coefficient (R) of 0.360. On average, for every 1% (one percent) increase in Immigrants from South Eastern Asia within a typical geography, there is an increase of 0.002% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Eastern Asia corresponds to an increase of 2.4 Crow.

When considering income, the most significant differences between Immigrants from South Eastern Asia and Crow communities in the United States are seen in median household income ($91,541 compared to $63,681, a difference of 43.8%), householder income ages 45 - 64 years ($106,109 compared to $74,257, a difference of 42.9%), and householder income ages 25 - 44 years ($100,283 compared to $71,337, a difference of 40.6%). Conversely, both communities are more comparable in terms of median female earnings ($40,558 compared to $35,266, a difference of 15.0%), householder income under 25 years ($55,714 compared to $47,012, a difference of 18.5%), and median earnings ($47,671 compared to $38,707, a difference of 23.2%).

When considering poverty, the most significant differences between Immigrants from South Eastern Asia and Crow communities in the United States are seen in single father poverty (14.4% compared to 30.3%, a difference of 111.0%), single male poverty (11.4% compared to 23.3%, a difference of 103.3%), and child poverty under the age of 5 (15.7% compared to 31.0%, a difference of 97.8%). Conversely, both communities are more comparable in terms of receiving food stamps (11.1% compared to 13.4%, a difference of 21.2%), seniors poverty over the age of 75 (12.2% compared to 15.9%, a difference of 30.2%), and seniors poverty over the age of 65 (10.8% compared to 15.2%, a difference of 40.7%).

When considering unemployment, the most significant differences between Immigrants from South Eastern Asia and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.7% compared to 15.7%, a difference of 232.6%), unemployment among ages 65 to 74 years (5.3% compared to 17.4%, a difference of 229.6%), and unemployment among seniors over 65 years (5.1% compared to 16.9%, a difference of 229.3%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 5.0%, a difference of 0.30%), unemployment among women with children ages 6 to 17 years (8.2% compared to 9.2%, a difference of 12.2%), and unemployment among ages 55 to 59 years (4.8% compared to 5.9%, a difference of 23.5%).

When considering labor participation, the most significant differences between Immigrants from South Eastern Asia and Crow communities in the United States are seen in in labor force | age 30-34 (84.7% compared to 75.9%, a difference of 11.6%), in labor force | age 35-44 (84.2% compared to 76.5%, a difference of 10.1%), and in labor force | age 20-64 (79.8% compared to 73.3%, a difference of 8.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.1% compared to 76.9%, a difference of 2.3%), in labor force | age 45-54 (82.8% compared to 78.3%, a difference of 5.7%), and in labor force | age 25-29 (84.4% compared to 78.6%, a difference of 7.4%).

When considering family structure, the most significant differences between Immigrants from South Eastern Asia and Crow communities in the United States are seen in single father households (2.4% compared to 3.5%, a difference of 45.9%), births to unmarried women (30.4% compared to 40.4%, a difference of 32.9%), and divorced or separated (11.4% compared to 14.1%, a difference of 23.4%). Conversely, both communities are more comparable in terms of family households (67.5% compared to 65.3%, a difference of 3.4%), family households with children (29.1% compared to 27.4%, a difference of 6.4%), and average family size (3.36 compared to 3.82, a difference of 13.9%).

When considering vehicle availability, the most significant differences between Immigrants from South Eastern Asia and Crow communities in the United States are seen in no vehicles in household (8.6% compared to 11.0%, a difference of 28.4%), 2 or more vehicles in household (59.6% compared to 55.7%, a difference of 6.9%), and 4 or more vehicles in household (8.2% compared to 7.8%, a difference of 5.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 89.3%, a difference of 2.4%), 3 or more vehicles in household (23.1% compared to 22.5%, a difference of 2.8%), and 4 or more vehicles in household (8.2% compared to 7.8%, a difference of 5.7%).

When considering education level, the most significant differences between Immigrants from South Eastern Asia and Crow communities in the United States are seen in no schooling completed (2.9% compared to 1.6%, a difference of 76.6%), bachelor's degree (36.8% compared to 27.7%, a difference of 32.8%), and master's degree (14.0% compared to 10.6%, a difference of 31.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (89.6% compared to 90.0%, a difference of 0.44%), ged/equivalency (84.1% compared to 83.8%, a difference of 0.45%), and high school diploma (87.2% compared to 88.4%, a difference of 1.4%).

When considering disability, the most significant differences between Immigrants from South Eastern Asia and Crow communities in the United States are seen in hearing disability (3.0% compared to 4.2%, a difference of 40.8%), disability age 35 to 64 (10.6% compared to 14.6%, a difference of 38.3%), and disability age 18 to 34 (6.3% compared to 8.3%, a difference of 31.8%). Conversely, both communities are more comparable in terms of self-care disability (2.5% compared to 2.5%, a difference of 0.22%), cognitive disability (17.0% compared to 17.3%, a difference of 1.8%), and disability age over 75 (48.7% compared to 49.6%, a difference of 1.9%).