Immigrants from Eastern Africa vs New Zealander Community Comparison

The statistical analysis conducted on geographies consisting of 97,515,454 people shows a poor positive correlation between the proportion of New Zealanders within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of 0.158. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is an increase of 0.003% in New Zealanders. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to an increase of 2.9 New Zealanders.

When considering income, the most significant differences between Immigrants from Eastern Africa and New Zealander communities in the United States are seen in wage/income gap (22.8% compared to 27.7%, a difference of 21.4%), per capita income ($43,838 compared to $50,575, a difference of 15.4%), and householder income ages 25 - 44 years ($91,458 compared to $105,085, a difference of 14.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,158 compared to $53,294, a difference of 4.2%), median female earnings ($40,644 compared to $42,446, a difference of 4.4%), and median earnings ($46,969 compared to $51,246, a difference of 9.1%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and New Zealander communities in the United States are seen in family poverty (9.5% compared to 8.1%, a difference of 17.6%), married-couple family poverty (5.2% compared to 4.4%, a difference of 17.4%), and receiving food stamps (11.6% compared to 9.9%, a difference of 16.9%). Conversely, both communities are more comparable in terms of single mother poverty (29.3% compared to 29.1%, a difference of 0.81%), female poverty among 18-24 year olds (21.4% compared to 21.7%, a difference of 1.2%), and single female poverty (21.6% compared to 21.0%, a difference of 2.9%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and New Zealander communities in the United States are seen in unemployment among seniors over 75 years (8.7% compared to 8.1%, a difference of 7.3%), unemployment among ages 60 to 64 years (4.6% compared to 4.9%, a difference of 6.3%), and unemployment among ages 30 to 34 years (5.0% compared to 5.3%, a difference of 5.6%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.8% compared to 16.8%, a difference of 0.060%), unemployment among ages 25 to 29 years (6.0% compared to 6.0%, a difference of 0.070%), and unemployment among women with children under 6 years (7.2% compared to 7.2%, a difference of 0.13%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and New Zealander communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 38.0%, a difference of 6.2%), in labor force | age > 16 (68.5% compared to 65.7%, a difference of 4.2%), and in labor force | age 20-24 (77.5% compared to 75.2%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.9% compared to 85.0%, a difference of 1.1%), in labor force | age 25-29 (86.0% compared to 85.0%, a difference of 1.1%), and in labor force | age 35-44 (85.4% compared to 84.1%, a difference of 1.5%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and New Zealander communities in the United States are seen in single mother households (6.8% compared to 5.6%, a difference of 21.8%), single father households (2.4% compared to 2.1%, a difference of 15.9%), and married-couple households (42.9% compared to 47.2%, a difference of 9.9%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.15, a difference of 2.0%), family households with children (27.7% compared to 27.1%, a difference of 2.0%), and births to unmarried women (31.0% compared to 30.3%, a difference of 2.0%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and New Zealander communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 6.5%, a difference of 13.2%), 3 or more vehicles in household (18.0% compared to 20.4%, a difference of 13.0%), and 2 or more vehicles in household (53.7% compared to 56.7%, a difference of 5.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 90.1%, a difference of 0.090%), no vehicles in household (10.0% compared to 10.2%, a difference of 1.5%), and 2 or more vehicles in household (53.7% compared to 56.7%, a difference of 5.4%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and New Zealander communities in the United States are seen in no schooling completed (2.4% compared to 1.7%, a difference of 44.9%), professional degree (4.8% compared to 6.0%, a difference of 23.8%), and doctorate degree (2.1% compared to 2.5%, a difference of 18.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.4%, a difference of 0.80%), kindergarten (97.6% compared to 98.4%, a difference of 0.81%), and 1st grade (97.6% compared to 98.4%, a difference of 0.82%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and New Zealander communities in the United States are seen in hearing disability (2.8% compared to 3.2%, a difference of 14.0%), cognitive disability (18.4% compared to 17.4%, a difference of 5.3%), and disability age 5 to 17 (5.7% compared to 5.4%, a difference of 5.0%). Conversely, both communities are more comparable in terms of female disability (11.7% compared to 11.7%, a difference of 0.10%), disability age under 5 (1.2% compared to 1.2%, a difference of 0.28%), and self-care disability (2.3% compared to 2.3%, a difference of 1.5%).