Immigrants from Kazakhstan vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 84,814,508 people shows a weak positive correlation between the proportion of Pennsylvania Germans within Immigrant from Kazakhstan communities in the United States with a correlation coefficient (R) of 0.227. On average, for every 1% (one percent) increase in Immigrants from Kazakhstan within a typical geography, there is an increase of 0.274% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kazakhstan corresponds to an increase of 274.2 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from Kazakhstan and Pennsylvania German communities in the United States are seen in per capita income ($48,747 compared to $37,842, a difference of 28.8%), median female earnings ($42,386 compared to $34,802, a difference of 21.8%), and median household income ($91,015 compared to $75,814, a difference of 20.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,990 compared to $50,852, a difference of 6.2%), median male earnings ($59,278 compared to $50,878, a difference of 16.5%), and householder income ages 45 - 64 years ($107,378 compared to $91,956, a difference of 16.8%).

When considering poverty, the most significant differences between Immigrants from Kazakhstan and Pennsylvania German communities in the United States are seen in single father poverty (15.6% compared to 20.0%, a difference of 28.5%), single male poverty (12.2% compared to 15.6%, a difference of 27.3%), and child poverty under the age of 5 (15.8% compared to 19.8%, a difference of 25.3%). Conversely, both communities are more comparable in terms of poverty (12.0% compared to 12.2%, a difference of 1.3%), female poverty (13.0% compared to 13.2%, a difference of 1.4%), and male poverty (11.0% compared to 11.2%, a difference of 1.5%).

When considering unemployment, the most significant differences between Immigrants from Kazakhstan and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 10.8%, a difference of 49.6%), unemployment among seniors over 75 years (8.2% compared to 10.2%, a difference of 24.4%), and unemployment among women with children ages 6 to 17 years (9.1% compared to 11.0%, a difference of 21.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.7% compared to 4.8%, a difference of 0.91%), unemployment among ages 20 to 24 years (10.2% compared to 10.0%, a difference of 2.0%), and unemployment among ages 45 to 54 years (4.4% compared to 4.3%, a difference of 3.1%).

When considering labor participation, the most significant differences between Immigrants from Kazakhstan and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (35.2% compared to 46.4%, a difference of 32.1%), in labor force | age 20-24 (73.8% compared to 78.0%, a difference of 5.6%), and in labor force | age 30-34 (85.3% compared to 82.6%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.4% compared to 83.6%, a difference of 0.96%), in labor force | age 20-64 (79.7% compared to 78.4%, a difference of 1.6%), and in labor force | age 45-54 (83.0% compared to 81.6%, a difference of 1.7%).

When considering family structure, the most significant differences between Immigrants from Kazakhstan and Pennsylvania German communities in the United States are seen in single father households (2.0% compared to 2.4%, a difference of 21.4%), births to unmarried women (28.1% compared to 34.0%, a difference of 20.9%), and married-couple households (46.8% compared to 50.4%, a difference of 7.6%). Conversely, both communities are more comparable in terms of average family size (3.17 compared to 3.19, a difference of 0.87%), family households with children (26.9% compared to 27.4%, a difference of 1.9%), and divorced or separated (11.7% compared to 12.1%, a difference of 3.4%).

When considering vehicle availability, the most significant differences between Immigrants from Kazakhstan and Pennsylvania German communities in the United States are seen in 4 or more vehicles in household (5.5% compared to 7.6%, a difference of 38.4%), 3 or more vehicles in household (17.4% compared to 22.3%, a difference of 28.4%), and no vehicles in household (13.6% compared to 11.0%, a difference of 23.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.6% compared to 89.3%, a difference of 3.1%), 2 or more vehicles in household (51.6% compared to 58.5%, a difference of 13.5%), and no vehicles in household (13.6% compared to 11.0%, a difference of 23.2%).

When considering education level, the most significant differences between Immigrants from Kazakhstan and Pennsylvania German communities in the United States are seen in professional degree (5.5% compared to 3.0%, a difference of 84.7%), master's degree (18.0% compared to 10.7%, a difference of 67.3%), and doctorate degree (2.3% compared to 1.4%, a difference of 64.2%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.6%, a difference of 0.70%), kindergarten (97.9% compared to 98.6%, a difference of 0.71%), and 1st grade (97.9% compared to 98.6%, a difference of 0.72%).

When considering disability, the most significant differences between Immigrants from Kazakhstan and Pennsylvania German communities in the United States are seen in disability age under 5 (1.1% compared to 1.9%, a difference of 81.0%), disability age 35 to 64 (10.1% compared to 12.8%, a difference of 27.5%), and hearing disability (2.9% compared to 3.7%, a difference of 27.2%). Conversely, both communities are more comparable in terms of self-care disability (2.5% compared to 2.5%, a difference of 0.33%), disability age over 75 (47.4% compared to 47.2%, a difference of 0.59%), and cognitive disability (17.1% compared to 16.6%, a difference of 3.2%).