Crow vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 50,374,787 people shows a strong positive correlation between the proportion of Immigrants from Oceania within Crow communities in the United States with a correlation coefficient (R) of 0.785. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.090% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 89.7 Immigrants from Oceania.

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

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

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

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

When considering family structure, the most significant differences between Crow and Immigrants from Oceania communities in the United States are seen in single father households (3.5% compared to 2.5%, a difference of 43.0%), births to unmarried women (40.4% compared to 30.6%, a difference of 32.0%), and single mother households (7.4% compared to 6.3%, a difference of 18.6%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 64.9%, a difference of 0.58%), family households with children (27.4% compared to 28.1%, a difference of 2.8%), and married-couple households (41.4% compared to 46.9%, a difference of 13.5%).

When considering vehicle availability, the most significant differences between Crow and Immigrants from Oceania communities in the United States are seen in no vehicles in household (11.0% compared to 9.7%, a difference of 13.4%), 2 or more vehicles in household (55.7% compared to 57.5%, a difference of 3.2%), and 3 or more vehicles in household (22.5% compared to 21.8%, a difference of 3.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.4%, a difference of 1.2%), 4 or more vehicles in household (7.8% compared to 7.6%, a difference of 2.0%), and 3 or more vehicles in household (22.5% compared to 21.8%, a difference of 3.0%).

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

When considering disability, the most significant differences between Crow and Immigrants from Oceania communities in the United States are seen in hearing disability (4.2% compared to 3.2%, a difference of 30.9%), disability age 35 to 64 (14.6% compared to 11.4%, a difference of 28.6%), and disability age 18 to 34 (8.3% compared to 6.7%, 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 (17.3% compared to 17.6%, a difference of 1.5%).