Immigrants from Oceania vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 50,374,787 people shows no correlation between the proportion of Crow within Immigrant from Oceania communities in the United States with a correlation coefficient (R) of 0.036. On average, for every 1% (one percent) increase in Immigrants from Oceania within a typical geography, there is an increase of 0.001% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Oceania corresponds to an increase of 1.4 Crow.

When considering income, the most significant differences between Immigrants from Oceania and Crow communities in the United States are seen in per capita income ($45,220 compared to $31,729, a difference of 42.5%), median household income ($89,100 compared to $63,681, a difference of 39.9%), and householder income ages 45 - 64 years ($103,705 compared to $74,257, a difference of 39.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,680 compared to $47,012, a difference of 14.2%), median female earnings ($40,297 compared to $35,266, a difference of 14.3%), and median earnings ($47,617 compared to $38,707, a difference of 23.0%).

When considering poverty, the most significant differences between Immigrants from Oceania and Crow communities in the United States are seen in single father poverty (15.4% compared to 30.3%, a difference of 96.1%), married-couple family poverty (5.0% compared to 9.6%, a difference of 90.3%), and single male poverty (12.4% compared to 23.3%, a difference of 87.5%). Conversely, both communities are more comparable in terms of receiving food stamps (11.4% compared to 13.4%, a difference of 17.9%), single mother poverty (28.7% compared to 38.6%, a difference of 34.7%), and seniors poverty over the age of 75 (11.7% compared to 15.9%, a difference of 36.7%).

When considering unemployment, the most significant differences between Immigrants from Oceania and Crow communities in the United States are seen in unemployment among ages 65 to 74 years (5.2% compared to 17.4%, a difference of 237.2%), unemployment among seniors over 65 years (5.0% compared to 16.9%, a difference of 236.7%), and unemployment among ages 35 to 44 years (4.8% compared to 15.7%, a difference of 228.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.7% compared to 5.0%, a difference of 6.2%), unemployment among women with children ages 6 to 17 years (8.1% compared to 9.2%, a difference of 14.3%), and unemployment among ages 55 to 59 years (4.7% compared to 5.9%, a difference of 25.4%).

When considering labor participation, the most significant differences between Immigrants from Oceania and Crow communities in the United States are seen in in labor force | age 30-34 (84.0% compared to 75.9%, a difference of 10.7%), in labor force | age 35-44 (83.9% compared to 76.5%, a difference of 9.7%), and in labor force | age 20-64 (79.3% compared to 73.3%, a difference of 8.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.1% compared to 76.9%, a difference of 1.0%), in labor force | age 16-19 (37.9% compared to 38.5%, a difference of 1.6%), and in labor force | age 45-54 (82.1% compared to 78.3%, a difference of 4.8%).

When considering family structure, the most significant differences between Immigrants from Oceania and Crow communities in the United States are seen in single father households (2.5% compared to 3.5%, a difference of 43.0%), births to unmarried women (30.6% compared to 40.4%, a difference of 32.0%), and single mother households (6.3% compared to 7.4%, a difference of 18.6%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 65.3%, a difference of 0.58%), family households with children (28.1% compared to 27.4%, a difference of 2.8%), 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 Oceania and Crow communities in the United States are seen in no vehicles in household (9.7% compared to 11.0%, a difference of 13.4%), 2 or more vehicles in household (57.5% compared to 55.7%, a difference of 3.2%), and 3 or more vehicles in household (21.8% compared to 22.5%, a difference of 3.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.3%, a difference of 1.2%), 4 or more vehicles in household (7.6% compared to 7.8%, a difference of 2.0%), and 3 or more vehicles in household (21.8% compared to 22.5%, a difference of 3.0%).

When considering education level, the most significant differences between Immigrants from Oceania and Crow communities in the United States are seen in professional degree (4.6% compared to 3.2%, a difference of 44.7%), master's degree (14.7% compared to 10.6%, a difference of 38.0%), and no schooling completed (2.2% compared to 1.6%, a difference of 36.9%). Conversely, both communities are more comparable in terms of high school diploma (88.8% compared to 88.4%, a difference of 0.42%), 11th grade (92.2% compared to 92.9%, a difference of 0.72%), and 12th grade, no diploma (90.9% compared to 90.0%, a difference of 0.97%).

When considering disability, the most significant differences between Immigrants from Oceania and Crow communities in the United States are seen in hearing disability (3.2% compared to 4.2%, a difference of 30.9%), disability age 35 to 64 (11.4% compared to 14.6%, a difference of 28.6%), and disability age 18 to 34 (6.7% compared to 8.3%, a difference of 24.1%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.4% compared to 5.4%, a difference of 0.85%), self-care disability (2.5% compared to 2.5%, a difference of 0.93%), and cognitive disability (17.6% compared to 17.3%, a difference of 1.5%).