Immigrants from Europe vs Immigrants from Zimbabwe Community Comparison

The statistical analysis conducted on geographies consisting of 117,558,609 people shows a poor negative correlation between the proportion of Immigrants from Zimbabwe within Immigrant from Europe communities in the United States with a correlation coefficient (R) of -0.184. On average, for every 1% (one percent) increase in Immigrants from Europe within a typical geography, there is a decrease of 0.001% in Immigrants from Zimbabwe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Europe corresponds to a decrease of 0.8 Immigrants from Zimbabwe.

When considering income, the most significant differences between Immigrants from Europe and Immigrants from Zimbabwe communities in the United States are seen in householder income ages 25 - 44 years ($106,817 compared to $97,880, a difference of 9.1%), median male earnings ($62,057 compared to $57,352, a difference of 8.2%), and per capita income ($50,950 compared to $47,394, a difference of 7.5%). Conversely, both communities are more comparable in terms of householder income over 65 years ($64,828 compared to $63,643, a difference of 1.9%), median female earnings ($43,523 compared to $41,527, a difference of 4.8%), and householder income under 25 years ($55,022 compared to $51,914, a difference of 6.0%).

When considering poverty, the most significant differences between Immigrants from Europe and Immigrants from Zimbabwe communities in the United States are seen in married-couple family poverty (4.6% compared to 4.3%, a difference of 6.6%), child poverty among girls under 16 (14.4% compared to 15.3%, a difference of 5.9%), and child poverty under the age of 16 (14.2% compared to 15.0%, a difference of 5.6%). Conversely, both communities are more comparable in terms of single father poverty (16.3% compared to 16.1%, a difference of 0.84%), single mother poverty (27.4% compared to 28.1%, a difference of 2.4%), and seniors poverty over the age of 65 (10.5% compared to 10.3%, a difference of 2.5%).

When considering unemployment, the most significant differences between Immigrants from Europe and Immigrants from Zimbabwe communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 8.0%, a difference of 10.5%), unemployment among ages 20 to 24 years (10.4% compared to 9.5%, a difference of 9.8%), and unemployment among ages 55 to 59 years (4.8% compared to 4.5%, a difference of 8.6%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.2% compared to 7.1%, a difference of 1.0%), unemployment among women with children under 18 years (5.3% compared to 5.2%, a difference of 1.5%), and unemployment among seniors over 75 years (8.8% compared to 9.0%, a difference of 2.5%).

When considering labor participation, the most significant differences between Immigrants from Europe and Immigrants from Zimbabwe communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 38.0%, a difference of 4.8%), in labor force | age > 16 (65.0% compared to 66.8%, a difference of 2.8%), and in labor force | age 20-24 (74.8% compared to 75.9%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.2% compared to 85.2%, a difference of 0.050%), in labor force | age 30-34 (85.3% compared to 85.1%, a difference of 0.20%), and in labor force | age 45-54 (83.2% compared to 83.4%, a difference of 0.21%).

When considering family structure, the most significant differences between Immigrants from Europe and Immigrants from Zimbabwe communities in the United States are seen in single mother households (5.5% compared to 6.2%, a difference of 11.8%), single father households (2.0% compared to 2.2%, a difference of 11.0%), and births to unmarried women (28.4% compared to 30.3%, a difference of 6.7%). Conversely, both communities are more comparable in terms of family households (63.7% compared to 63.5%, a difference of 0.40%), average family size (3.15 compared to 3.19, a difference of 1.3%), and married-couple households (47.6% compared to 46.3%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Immigrants from Europe and Immigrants from Zimbabwe communities in the United States are seen in no vehicles in household (12.5% compared to 9.9%, a difference of 27.0%), 4 or more vehicles in household (5.7% compared to 6.0%, a difference of 5.7%), and 3 or more vehicles in household (18.1% compared to 19.1%, a difference of 5.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.6% compared to 90.2%, a difference of 3.0%), 2 or more vehicles in household (53.2% compared to 55.6%, a difference of 4.4%), and 3 or more vehicles in household (18.1% compared to 19.1%, a difference of 5.3%).

When considering education level, the most significant differences between Immigrants from Europe and Immigrants from Zimbabwe communities in the United States are seen in professional degree (5.6% compared to 5.3%, a difference of 6.9%), doctorate degree (2.3% compared to 2.2%, a difference of 5.7%), and master's degree (18.2% compared to 17.4%, a difference of 4.6%). Conversely, both communities are more comparable in terms of 4th grade (97.8% compared to 97.8%, a difference of 0.020%), 3rd grade (98.0% compared to 98.0%, a difference of 0.030%), and nursery school (98.1% compared to 98.2%, a difference of 0.040%).

When considering disability, the most significant differences between Immigrants from Europe and Immigrants from Zimbabwe communities in the United States are seen in self-care disability (2.4% compared to 2.3%, a difference of 8.5%), cognitive disability (16.5% compared to 17.5%, a difference of 6.4%), and ambulatory disability (6.0% compared to 5.6%, a difference of 5.9%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 1.5%), male disability (11.0% compared to 10.8%, a difference of 1.5%), and disability (11.4% compared to 11.2%, a difference of 1.7%).