Immigrants from Germany vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 286,167,484 people shows a substantial positive correlation between the proportion of Immigrants from Oceania within Immigrant from Germany communities in the United States with a correlation coefficient (R) of 0.591. On average, for every 1% (one percent) increase in Immigrants from Germany within a typical geography, there is an increase of 0.116% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Germany corresponds to an increase of 116.0 Immigrants from Oceania.

When considering income, the most significant differences between Immigrants from Germany and Immigrants from Oceania communities in the United States are seen in wage/income gap (27.5% compared to 25.6%, a difference of 7.4%), householder income under 25 years ($51,190 compared to $53,680, a difference of 4.9%), and householder income over 65 years ($62,544 compared to $64,416, a difference of 3.0%). Conversely, both communities are more comparable in terms of median earnings ($47,566 compared to $47,617, a difference of 0.11%), householder income ages 45 - 64 years ($103,282 compared to $103,705, a difference of 0.41%), and median family income ($105,507 compared to $106,453, a difference of 0.90%).

When considering poverty, the most significant differences between Immigrants from Germany and Immigrants from Oceania communities in the United States are seen in single father poverty (16.9% compared to 15.4%, a difference of 9.6%), single male poverty (13.4% compared to 12.4%, a difference of 8.4%), and married-couple family poverty (4.7% compared to 5.0%, a difference of 6.9%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (16.1% compared to 16.1%, a difference of 0.14%), child poverty under the age of 16 (15.8% compared to 15.9%, a difference of 0.27%), and child poverty among boys under 16 (16.2% compared to 16.0%, a difference of 1.0%).

When considering unemployment, the most significant differences between Immigrants from Germany and Immigrants from Oceania communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 8.1%, a difference of 14.0%), unemployment among ages 25 to 29 years (6.8% compared to 6.4%, a difference of 6.8%), and unemployment among women with children under 6 years (7.9% compared to 7.5%, a difference of 6.2%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.15%), unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.41%), and unemployment among ages 16 to 19 years (17.2% compared to 17.2%, a difference of 0.45%).

When considering labor participation, the most significant differences between Immigrants from Germany and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (39.1% compared to 37.9%, a difference of 3.2%), in labor force | age > 16 (63.9% compared to 65.5%, a difference of 2.4%), and in labor force | age 20-64 (78.8% compared to 79.3%, a difference of 0.64%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.9% compared to 83.9%, a difference of 0.010%), in labor force | age 45-54 (82.1% compared to 82.1%, a difference of 0.010%), and in labor force | age 20-24 (76.2% compared to 76.1%, a difference of 0.11%).

When considering family structure, the most significant differences between Immigrants from Germany and Immigrants from Oceania communities in the United States are seen in single father households (2.3% compared to 2.5%, a difference of 8.3%), births to unmarried women (32.8% compared to 30.6%, a difference of 7.2%), and average family size (3.15 compared to 3.29, a difference of 4.3%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.9%, a difference of 0.94%), married-couple households (47.5% compared to 46.9%, a difference of 1.3%), and single mother households (6.1% compared to 6.3%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Immigrants from Germany and Immigrants from Oceania communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 7.6%, a difference of 12.4%), no vehicles in household (8.7% compared to 9.7%, a difference of 11.5%), and 3 or more vehicles in household (20.8% compared to 21.8%, a difference of 4.7%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.9% compared to 57.5%, a difference of 0.61%), 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%), and 3 or more vehicles in household (20.8% compared to 21.8%, a difference of 4.7%).

When considering education level, the most significant differences between Immigrants from Germany and Immigrants from Oceania communities in the United States are seen in no schooling completed (1.8% compared to 2.2%, a difference of 26.6%), doctorate degree (2.1% compared to 1.9%, a difference of 8.9%), and master's degree (15.8% compared to 14.7%, a difference of 7.6%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 97.8%, a difference of 0.48%), kindergarten (98.3% compared to 97.8%, a difference of 0.48%), and 1st grade (98.2% compared to 97.8%, a difference of 0.49%).

When considering disability, the most significant differences between Immigrants from Germany and Immigrants from Oceania communities in the United States are seen in disability age under 5 (1.4% compared to 1.2%, a difference of 22.5%), hearing disability (3.5% compared to 3.2%, a difference of 9.1%), and disability age 18 to 34 (7.2% compared to 6.7%, a difference of 8.4%). Conversely, both communities are more comparable in terms of self-care disability (2.5% compared to 2.5%, a difference of 0.70%), disability age 65 to 74 (23.4% compared to 24.0%, a difference of 2.2%), and disability age over 75 (46.7% compared to 48.0%, a difference of 2.7%).