Immigrants from France vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 215,310,157 people shows a weak positive correlation between the proportion of Immigrants from Oceania within Immigrant from France communities in the United States with a correlation coefficient (R) of 0.284. On average, for every 1% (one percent) increase in Immigrants from France within a typical geography, there is an increase of 0.048% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from France corresponds to an increase of 48.1 Immigrants from Oceania.

When considering income, the most significant differences between Immigrants from France and Immigrants from Oceania communities in the United States are seen in per capita income ($54,557 compared to $45,220, a difference of 20.6%), median male earnings ($63,715 compared to $55,712, a difference of 14.4%), and median family income ($120,076 compared to $106,453, a difference of 12.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,805 compared to $53,680, a difference of 0.23%), householder income over 65 years ($66,826 compared to $64,416, a difference of 3.7%), and wage/income gap (27.4% compared to 25.6%, a difference of 6.8%).

When considering poverty, the most significant differences between Immigrants from France and Immigrants from Oceania communities in the United States are seen in receiving food stamps (10.1% compared to 11.4%, a difference of 13.0%), child poverty under the age of 16 (14.7% compared to 15.9%, a difference of 8.3%), and female poverty among 18-24 year olds (21.4% compared to 19.7%, a difference of 8.2%). Conversely, both communities are more comparable in terms of single male poverty (12.6% compared to 12.4%, a difference of 1.6%), male poverty (10.9% compared to 11.2%, a difference of 2.9%), and female poverty (12.9% compared to 13.3%, a difference of 3.1%).

When considering unemployment, the most significant differences between Immigrants from France and Immigrants from Oceania communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 9.0%, a difference of 12.5%), unemployment among women with children under 6 years (6.9% compared to 7.5%, a difference of 8.4%), and unemployment among ages 35 to 44 years (4.5% compared to 4.8%, a difference of 6.9%). Conversely, both communities are more comparable in terms of female unemployment (5.1% compared to 5.2%, a difference of 0.32%), unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.58%), and unemployment among youth under 25 years (11.3% compared to 11.4%, a difference of 0.88%).

When considering labor participation, the most significant differences between Immigrants from France and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (35.1% compared to 37.9%, a difference of 7.8%), in labor force | age 20-24 (74.1% compared to 76.1%, a difference of 2.7%), and in labor force | age 30-34 (85.5% compared to 84.0%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.7% compared to 65.5%, a difference of 0.38%), in labor force | age 20-64 (79.9% compared to 79.3%, a difference of 0.75%), and in labor force | age 45-54 (83.0% compared to 82.1%, a difference of 1.1%).

When considering family structure, the most significant differences between Immigrants from France and Immigrants from Oceania communities in the United States are seen in single father households (2.0% compared to 2.5%, a difference of 21.2%), single mother households (5.6% compared to 6.3%, a difference of 12.6%), and family households with children (26.0% compared to 28.1%, a difference of 8.0%). Conversely, both communities are more comparable in terms of currently married (46.2% compared to 46.5%, a difference of 0.68%), divorced or separated (11.7% compared to 11.9%, a difference of 1.9%), and married-couple households (45.4% compared to 46.9%, a difference of 3.3%).

When considering vehicle availability, the most significant differences between Immigrants from France and Immigrants from Oceania communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 7.6%, a difference of 35.3%), no vehicles in household (12.9% compared to 9.7%, a difference of 33.0%), and 3 or more vehicles in household (17.6% compared to 21.8%, a difference of 23.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.1% compared to 90.4%, a difference of 3.7%), 2 or more vehicles in household (52.0% compared to 57.5%, a difference of 10.6%), and 3 or more vehicles in household (17.6% compared to 21.8%, a difference of 23.6%).

When considering education level, the most significant differences between Immigrants from France and Immigrants from Oceania communities in the United States are seen in doctorate degree (2.9% compared to 1.9%, a difference of 49.9%), professional degree (6.8% compared to 4.6%, a difference of 48.9%), and master's degree (20.3% compared to 14.7%, a difference of 38.3%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 97.8%, a difference of 0.40%), kindergarten (98.2% compared to 97.8%, a difference of 0.40%), and 1st grade (98.2% compared to 97.8%, a difference of 0.40%).

When considering disability, the most significant differences between Immigrants from France and Immigrants from Oceania communities in the United States are seen in disability age 35 to 64 (10.1% compared to 11.4%, a difference of 12.6%), disability age 65 to 74 (21.5% compared to 24.0%, a difference of 11.5%), and hearing disability (2.9% compared to 3.2%, a difference of 8.8%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 17.6%, a difference of 1.2%), disability age under 5 (1.2% compared to 1.2%, a difference of 1.8%), and disability age 5 to 17 (5.2% compared to 5.4%, a difference of 3.9%).