Immigrants from Zimbabwe vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 82,421,570 people shows a moderate positive correlation between the proportion of Pennsylvania Germans within Immigrant from Zimbabwe communities in the United States with a correlation coefficient (R) of 0.458. On average, for every 1% (one percent) increase in Immigrants from Zimbabwe within a typical geography, there is an increase of 0.171% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Zimbabwe corresponds to an increase of 170.7 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from Zimbabwe and Pennsylvania German communities in the United States are seen in per capita income ($47,394 compared to $37,842, a difference of 25.2%), wage/income gap (25.3% compared to 30.7%, a difference of 21.2%), and householder income over 65 years ($63,643 compared to $52,888, a difference of 20.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,914 compared to $50,852, a difference of 2.1%), median male earnings ($57,352 compared to $50,878, a difference of 12.7%), and householder income ages 25 - 44 years ($97,880 compared to $85,836, a difference of 14.0%).

When considering poverty, the most significant differences between Immigrants from Zimbabwe and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (15.8% compared to 19.8%, a difference of 25.0%), single father poverty (16.1% compared to 20.0%, a difference of 24.1%), and single male poverty (12.6% compared to 15.6%, a difference of 23.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 11.8%, a difference of 0.35%), female poverty among 18-24 year olds (19.8% compared to 19.7%, a difference of 0.74%), and seniors poverty over the age of 65 (10.3% compared to 9.9%, a difference of 4.1%).

When considering unemployment, the most significant differences between Immigrants from Zimbabwe and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 10.8%, a difference of 51.4%), unemployment among women with children ages 6 to 17 years (8.0% compared to 11.0%, a difference of 37.6%), and unemployment among ages 30 to 34 years (5.1% compared to 6.3%, a difference of 22.3%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.3% compared to 16.2%, a difference of 0.83%), unemployment among ages 45 to 54 years (4.2% compared to 4.3%, a difference of 1.1%), and female unemployment (4.9% compared to 4.8%, a difference of 1.6%).

When considering labor participation, the most significant differences between Immigrants from Zimbabwe and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 46.4%, a difference of 22.3%), in labor force | age > 16 (66.8% compared to 63.4%, a difference of 5.4%), and in labor force | age 30-34 (85.1% compared to 82.6%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.2% compared to 83.6%, a difference of 1.9%), in labor force | age 45-54 (83.4% compared to 81.6%, a difference of 2.1%), and in labor force | age 20-64 (80.5% compared to 78.4%, a difference of 2.7%).

When considering family structure, the most significant differences between Immigrants from Zimbabwe and Pennsylvania German communities in the United States are seen in births to unmarried women (30.3% compared to 34.0%, a difference of 12.1%), single father households (2.2% compared to 2.4%, a difference of 9.1%), and married-couple households (46.3% compared to 50.4%, a difference of 8.7%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.19, a difference of 0.14%), divorced or separated (11.9% compared to 12.1%, a difference of 1.3%), and family households with children (27.8% compared to 27.4%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Zimbabwe and Pennsylvania German communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 7.6%, a difference of 25.9%), 3 or more vehicles in household (19.1% compared to 22.3%, a difference of 17.0%), and no vehicles in household (9.9% compared to 11.0%, a difference of 11.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 89.3%, a difference of 1.1%), 2 or more vehicles in household (55.6% compared to 58.5%, a difference of 5.3%), and no vehicles in household (9.9% compared to 11.0%, a difference of 11.6%).

When considering education level, the most significant differences between Immigrants from Zimbabwe and Pennsylvania German communities in the United States are seen in professional degree (5.3% compared to 3.0%, a difference of 77.3%), master's degree (17.4% compared to 10.7%, a difference of 62.4%), and doctorate degree (2.2% compared to 1.4%, a difference of 58.3%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 98.6%, a difference of 0.45%), kindergarten (98.2% compared to 98.6%, a difference of 0.46%), and 1st grade (98.1% compared to 98.6%, a difference of 0.46%).

When considering disability, the most significant differences between Immigrants from Zimbabwe and Pennsylvania German communities in the United States are seen in disability age under 5 (1.2% compared to 1.9%, a difference of 61.9%), hearing disability (3.0% compared to 3.7%, a difference of 26.5%), and disability age 35 to 64 (10.6% compared to 12.8%, a difference of 20.6%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.2%, a difference of 0.040%), cognitive disability (17.5% compared to 16.6%, a difference of 5.8%), and vision disability (2.1% compared to 2.2%, a difference of 6.7%).