Immigrants from Indonesia vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 123,767,339 people shows a weak positive correlation between the proportion of Pennsylvania Germans within Immigrant from Indonesia communities in the United States with a correlation coefficient (R) of 0.243. On average, for every 1% (one percent) increase in Immigrants from Indonesia within a typical geography, there is an increase of 0.233% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Indonesia corresponds to an increase of 233.3 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from Indonesia and Pennsylvania German communities in the United States are seen in median household income ($97,297 compared to $75,814, a difference of 28.3%), per capita income ($48,195 compared to $37,842, a difference of 27.4%), and householder income over 65 years ($66,694 compared to $52,888, a difference of 26.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($55,521 compared to $50,852, a difference of 9.2%), wage/income gap (26.1% compared to 30.7%, a difference of 17.7%), and median male earnings ($60,935 compared to $50,878, a difference of 19.8%).

When considering poverty, the most significant differences between Immigrants from Indonesia and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (14.3% compared to 19.8%, a difference of 38.0%), single father poverty (14.7% compared to 20.0%, a difference of 36.3%), and single male poverty (11.6% compared to 15.6%, a difference of 34.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.9% compared to 19.7%, a difference of 4.3%), seniors poverty over the age of 75 (12.5% compared to 11.8%, a difference of 5.8%), and female poverty (12.5% compared to 13.2%, a difference of 6.0%).

When considering unemployment, the most significant differences between Immigrants from Indonesia and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 10.8%, a difference of 61.1%), unemployment among women with children ages 6 to 17 years (7.7% compared to 11.0%, a difference of 43.0%), and unemployment among seniors over 75 years (8.1% compared to 10.2%, a difference of 26.0%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.7% compared to 4.7%, a difference of 0.030%), unemployment among ages 20 to 24 years (10.1% compared to 10.0%, a difference of 0.17%), and unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 0.53%).

When considering labor participation, the most significant differences between Immigrants from Indonesia and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 46.4%, a difference of 38.6%), in labor force | age 20-24 (73.4% compared to 78.0%, a difference of 6.2%), and in labor force | age > 16 (65.7% compared to 63.4%, a difference of 3.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.4% compared to 83.6%, a difference of 0.89%), in labor force | age 20-64 (79.6% compared to 78.4%, a difference of 1.6%), and in labor force | age 45-54 (82.9% compared to 81.6%, a difference of 1.6%).

When considering family structure, the most significant differences between Immigrants from Indonesia and Pennsylvania German communities in the United States are seen in births to unmarried women (27.7% compared to 34.0%, a difference of 22.7%), single father households (2.2% compared to 2.4%, a difference of 12.1%), and divorced or separated (10.9% compared to 12.1%, a difference of 10.5%). Conversely, both communities are more comparable in terms of family households (66.0% compared to 66.1%, a difference of 0.22%), single mother households (5.7% compared to 5.8%, a difference of 1.9%), and average family size (3.27 compared to 3.19, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Immigrants from Indonesia and Pennsylvania German communities in the United States are seen in no vehicles in household (10.1% compared to 11.0%, a difference of 8.7%), 3 or more vehicles in household (21.1% compared to 22.3%, a difference of 5.8%), and 4 or more vehicles in household (7.2% compared to 7.6%, a difference of 5.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 89.3%, a difference of 0.78%), 2 or more vehicles in household (57.6% compared to 58.5%, a difference of 1.7%), and 4 or more vehicles in household (7.2% compared to 7.6%, a difference of 5.4%).

When considering education level, the most significant differences between Immigrants from Indonesia and Pennsylvania German communities in the United States are seen in professional degree (5.3% compared to 3.0%, a difference of 80.0%), doctorate degree (2.4% compared to 1.4%, a difference of 71.5%), and master's degree (17.6% compared to 10.7%, a difference of 63.8%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.6%, a difference of 1.0%), kindergarten (97.6% compared to 98.6%, a difference of 1.0%), and 1st grade (97.6% compared to 98.6%, a difference of 1.0%).

When considering disability, the most significant differences between Immigrants from Indonesia and Pennsylvania German communities in the United States are seen in disability age under 5 (1.1% compared to 1.9%, a difference of 74.5%), hearing disability (2.8% compared to 3.7%, a difference of 33.8%), and disability age 35 to 64 (9.7% compared to 12.8%, a difference of 33.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.8% compared to 47.2%, a difference of 1.4%), cognitive disability (17.1% compared to 16.6%, a difference of 3.1%), and self-care disability (2.4% compared to 2.5%, a difference of 3.3%).