Immigrants from Indonesia vs German Russian Community Comparison

The statistical analysis conducted on geographies consisting of 72,684,877 people shows a significant positive correlation between the proportion of German Russians within Immigrant from Indonesia communities in the United States with a correlation coefficient (R) of 0.677. On average, for every 1% (one percent) increase in Immigrants from Indonesia within a typical geography, there is an increase of 0.300% in German Russians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Indonesia corresponds to an increase of 299.9 German Russians.

When considering income, the most significant differences between Immigrants from Indonesia and German Russian communities in the United States are seen in median household income ($97,297 compared to $75,856, a difference of 28.3%), householder income ages 45 - 64 years ($113,519 compared to $89,398, a difference of 27.0%), and householder income ages 25 - 44 years ($107,627 compared to $85,220, a difference of 26.3%). Conversely, both communities are more comparable in terms of wage/income gap (26.1% compared to 24.6%, a difference of 5.9%), median female earnings ($43,412 compared to $37,105, a difference of 17.0%), and per capita income ($48,195 compared to $40,266, a difference of 19.7%).

When considering poverty, the most significant differences between Immigrants from Indonesia and German Russian communities in the United States are seen in female poverty among 18-24 year olds (18.9% compared to 25.2%, a difference of 33.5%), child poverty under the age of 5 (14.3% compared to 18.8%, a difference of 31.0%), and single female poverty (18.9% compared to 23.9%, a difference of 26.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.5% compared to 12.3%, a difference of 1.6%), seniors poverty over the age of 65 (10.8% compared to 11.0%, a difference of 1.7%), and married-couple family poverty (4.8% compared to 5.0%, a difference of 3.9%).

When considering unemployment, the most significant differences between Immigrants from Indonesia and German Russian communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 8.2%, a difference of 22.8%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.5%, a difference of 10.7%), and female unemployment (5.3% compared to 4.9%, a difference of 6.9%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.1% compared to 10.1%, a difference of 0.040%), unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.040%), and unemployment among ages 16 to 19 years (17.2% compared to 17.2%, a difference of 0.050%).

When considering labor participation, the most significant differences between Immigrants from Indonesia and German Russian communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 42.4%, a difference of 26.7%), in labor force | age 20-24 (73.4% compared to 77.5%, a difference of 5.6%), and in labor force | age 25-29 (84.4% compared to 85.8%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.9% compared to 82.8%, a difference of 0.090%), in labor force | age 30-34 (84.9% compared to 85.2%, a difference of 0.37%), and in labor force | age > 16 (65.7% compared to 66.1%, a difference of 0.50%).

When considering family structure, the most significant differences between Immigrants from Indonesia and German Russian communities in the United States are seen in births to unmarried women (27.7% compared to 33.1%, a difference of 19.4%), single mother households (5.7% compared to 6.7%, a difference of 16.9%), and married-couple households (48.5% compared to 44.0%, a difference of 10.3%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.15, a difference of 3.9%), currently married (47.6% compared to 45.5%, a difference of 4.6%), and family households with children (28.5% compared to 26.8%, a difference of 6.3%).

When considering vehicle availability, the most significant differences between Immigrants from Indonesia and German Russian communities in the United States are seen in no vehicles in household (10.1% compared to 10.5%, a difference of 4.2%), 4 or more vehicles in household (7.2% compared to 7.0%, a difference of 3.6%), and 2 or more vehicles in household (57.6% compared to 55.6%, a difference of 3.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 89.6%, a difference of 0.40%), 3 or more vehicles in household (21.1% compared to 20.5%, a difference of 3.0%), and 2 or more vehicles in household (57.6% compared to 55.6%, a difference of 3.5%).

When considering education level, the most significant differences between Immigrants from Indonesia and German Russian communities in the United States are seen in professional degree (5.3% compared to 4.0%, a difference of 34.8%), doctorate degree (2.4% compared to 1.8%, a difference of 33.6%), and master's degree (17.6% compared to 13.5%, a difference of 30.7%). Conversely, both communities are more comparable in terms of ged/equivalency (86.4% compared to 86.2%, a difference of 0.30%), nursery school (97.7% compared to 98.2%, a difference of 0.60%), and kindergarten (97.6% compared to 98.2%, a difference of 0.61%).

When considering disability, the most significant differences between Immigrants from Indonesia and German Russian communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 45.6%), disability age 35 to 64 (9.7% compared to 12.5%, a difference of 29.0%), and disability age 18 to 34 (5.9% compared to 7.4%, a difference of 24.2%). Conversely, both communities are more comparable in terms of disability age over 75 (47.8% compared to 47.3%, a difference of 1.1%), self-care disability (2.4% compared to 2.5%, a difference of 2.8%), and cognitive disability (17.1% compared to 18.2%, a difference of 6.7%).