Immigrants from Micronesia vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 46,097,957 people shows a substantial positive correlation between the proportion of Pennsylvania Germans within Immigrant from Micronesia communities in the United States with a correlation coefficient (R) of 0.575. On average, for every 1% (one percent) increase in Immigrants from Micronesia within a typical geography, there is an increase of 0.026% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Micronesia corresponds to an increase of 26.2 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from Micronesia and Pennsylvania German communities in the United States are seen in wage/income gap (24.4% compared to 30.7%, a difference of 25.6%), householder income over 65 years ($61,000 compared to $52,888, a difference of 15.3%), and median male earnings ($47,177 compared to $50,878, a difference of 7.9%). Conversely, both communities are more comparable in terms of median household income ($75,574 compared to $75,814, a difference of 0.32%), householder income under 25 years ($50,691 compared to $50,852, a difference of 0.32%), and per capita income ($37,464 compared to $37,842, a difference of 1.0%).

When considering poverty, the most significant differences between Immigrants from Micronesia and Pennsylvania German communities in the United States are seen in receiving food stamps (13.5% compared to 11.4%, a difference of 18.3%), single male poverty (13.5% compared to 15.6%, a difference of 15.0%), and family poverty (9.8% compared to 8.8%, a difference of 11.0%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (18.0% compared to 17.8%, a difference of 1.4%), child poverty among boys under 16 (18.3% compared to 17.9%, a difference of 2.1%), and child poverty under the age of 5 (19.4% compared to 19.8%, a difference of 2.2%).

When considering unemployment, the most significant differences between Immigrants from Micronesia and Pennsylvania German communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 11.0%, a difference of 23.6%), unemployment among women with children under 6 years (9.1% compared to 10.8%, a difference of 18.0%), and unemployment among ages 35 to 44 years (5.5% compared to 4.7%, a difference of 17.4%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.58%), unemployment among seniors over 65 years (5.4% compared to 5.4%, a difference of 0.72%), and unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 1.2%).

When considering labor participation, the most significant differences between Immigrants from Micronesia and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (40.2% compared to 46.4%, a difference of 15.6%), in labor force | age > 16 (64.7% compared to 63.4%, a difference of 2.1%), and in labor force | age 25-29 (83.0% compared to 83.6%, a difference of 0.74%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.8% compared to 78.0%, a difference of 0.19%), in labor force | age 30-34 (82.4% compared to 82.6%, a difference of 0.27%), and in labor force | age 35-44 (83.1% compared to 82.9%, a difference of 0.30%).

When considering family structure, the most significant differences between Immigrants from Micronesia and Pennsylvania German communities in the United States are seen in single mother households (6.9% compared to 5.8%, a difference of 18.3%), married-couple households (44.9% compared to 50.4%, a difference of 12.2%), and currently married (45.6% compared to 49.6%, a difference of 8.6%). Conversely, both communities are more comparable in terms of family households with children (27.2% compared to 27.4%, a difference of 0.48%), family households (64.2% compared to 66.1%, a difference of 2.9%), and births to unmarried women (32.9% compared to 34.0%, a difference of 3.4%).

When considering vehicle availability, the most significant differences between Immigrants from Micronesia and Pennsylvania German communities in the United States are seen in no vehicles in household (10.1% compared to 11.0%, a difference of 9.0%), 3 or more vehicles in household (20.7% compared to 22.3%, a difference of 7.7%), and 2 or more vehicles in household (55.1% compared to 58.5%, a difference of 6.2%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.6% compared to 7.6%, a difference of 0.63%), 1 or more vehicles in household (90.1% compared to 89.3%, a difference of 0.92%), and 2 or more vehicles in household (55.1% compared to 58.5%, a difference of 6.2%).

When considering education level, the most significant differences between Immigrants from Micronesia and Pennsylvania German communities in the United States are seen in no schooling completed (2.1% compared to 1.5%, a difference of 41.0%), college, 1 year or more (54.8% compared to 48.5%, a difference of 13.0%), and college, under 1 year (61.5% compared to 54.5%, a difference of 12.9%). Conversely, both communities are more comparable in terms of master's degree (10.8% compared to 10.7%, a difference of 0.21%), nursery school (98.0% compared to 98.6%, a difference of 0.65%), and kindergarten (98.0% compared to 98.6%, a difference of 0.65%).

When considering disability, the most significant differences between Immigrants from Micronesia and Pennsylvania German communities in the United States are seen in disability age under 5 (1.0% compared to 1.9%, a difference of 94.0%), disability age 5 to 17 (5.9% compared to 6.6%, a difference of 12.0%), and cognitive disability (18.1% compared to 16.6%, a difference of 9.0%). Conversely, both communities are more comparable in terms of disability (13.2% compared to 13.2%, a difference of 0.090%), male disability (12.9% compared to 13.0%, a difference of 0.37%), and female disability (13.5% compared to 13.4%, a difference of 0.37%).