Immigrants from Germany vs Immigrants from Indonesia Community Comparison

The statistical analysis conducted on geographies consisting of 207,821,329 people shows a mild positive correlation between the proportion of Immigrants from Indonesia within Immigrant from Germany communities in the United States with a correlation coefficient (R) of 0.313. On average, for every 1% (one percent) increase in Immigrants from Germany within a typical geography, there is an increase of 0.023% in Immigrants from Indonesia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Germany corresponds to an increase of 22.6 Immigrants from Indonesia.

When considering income, the most significant differences between Immigrants from Germany and Immigrants from Indonesia communities in the United States are seen in householder income ages 25 - 44 years ($95,913 compared to $107,627, a difference of 12.2%), median household income ($86,764 compared to $97,297, a difference of 12.1%), and householder income ages 45 - 64 years ($103,282 compared to $113,519, a difference of 9.9%). Conversely, both communities are more comparable in terms of per capita income ($45,751 compared to $48,195, a difference of 5.3%), wage/income gap (27.5% compared to 26.1%, a difference of 5.6%), and householder income over 65 years ($62,544 compared to $66,694, a difference of 6.6%).

When considering poverty, the most significant differences between Immigrants from Germany and Immigrants from Indonesia communities in the United States are seen in child poverty under the age of 5 (17.4% compared to 14.3%, a difference of 21.3%), female poverty among 25-34 year olds (13.9% compared to 11.8%, a difference of 17.4%), and single male poverty (13.4% compared to 11.6%, a difference of 15.9%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.7% compared to 4.8%, a difference of 1.5%), male poverty (10.9% compared to 10.5%, a difference of 4.5%), and poverty (12.0% compared to 11.5%, a difference of 4.7%).

When considering unemployment, the most significant differences between Immigrants from Germany and Immigrants from Indonesia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 7.7%, a difference of 19.5%), unemployment among women with children under 6 years (7.9% compared to 6.7%, a difference of 18.9%), and unemployment among seniors over 75 years (9.2% compared to 8.1%, a difference of 13.6%). 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 0.26%), unemployment among ages 16 to 19 years (17.2% compared to 17.2%, a difference of 0.31%), and unemployment among youth under 25 years (11.5% compared to 11.5%, a difference of 0.61%).

When considering labor participation, the most significant differences between Immigrants from Germany and Immigrants from Indonesia communities in the United States are seen in in labor force | age 16-19 (39.1% compared to 33.5%, a difference of 16.7%), in labor force | age 20-24 (76.2% compared to 73.4%, a difference of 3.8%), and in labor force | age > 16 (63.9% compared to 65.7%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.4% compared to 84.4%, a difference of 0.070%), in labor force | age 35-44 (83.9% compared to 84.2%, a difference of 0.40%), and in labor force | age 30-34 (84.3% compared to 84.9%, a difference of 0.75%).

When considering family structure, the most significant differences between Immigrants from Germany and Immigrants from Indonesia communities in the United States are seen in births to unmarried women (32.8% compared to 27.7%, a difference of 18.3%), divorced or separated (12.4% compared to 10.9%, a difference of 13.5%), and single mother households (6.1% compared to 5.7%, a difference of 7.8%). Conversely, both communities are more comparable in terms of currently married (47.8% compared to 47.6%, a difference of 0.45%), married-couple households (47.5% compared to 48.5%, a difference of 2.1%), and family households (64.3% compared to 66.0%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Germany and Immigrants from Indonesia communities in the United States are seen in no vehicles in household (8.7% compared to 10.1%, a difference of 15.9%), 4 or more vehicles in household (6.8% compared to 7.2%, a difference of 6.5%), and 1 or more vehicles in household (91.4% compared to 90.0%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.9% compared to 57.6%, a difference of 0.59%), 3 or more vehicles in household (20.8% compared to 21.1%, a difference of 1.4%), and 1 or more vehicles in household (91.4% compared to 90.0%, a difference of 1.6%).

When considering education level, the most significant differences between Immigrants from Germany and Immigrants from Indonesia communities in the United States are seen in no schooling completed (1.8% compared to 2.4%, a difference of 34.6%), doctorate degree (2.1% compared to 2.4%, a difference of 13.8%), and bachelor's degree (38.6% compared to 43.3%, a difference of 12.1%). Conversely, both communities are more comparable in terms of ged/equivalency (86.7% compared to 86.4%, a difference of 0.27%), nursery school (98.3% compared to 97.7%, a difference of 0.65%), and kindergarten (98.3% compared to 97.6%, a difference of 0.66%).

When considering disability, the most significant differences between Immigrants from Germany and Immigrants from Indonesia communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 27.4%), hearing disability (3.5% compared to 2.8%, a difference of 24.4%), and disability age 35 to 64 (11.9% compared to 9.7%, a difference of 23.1%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 17.1%, a difference of 0.65%), disability age over 75 (46.7% compared to 47.8%, a difference of 2.3%), and self-care disability (2.5% compared to 2.4%, a difference of 5.3%).