Immigrants from Yemen vs Immigrants from Australia Community Comparison

The statistical analysis conducted on geographies consisting of 62,734,206 people shows a slight positive correlation between the proportion of Immigrants from Australia within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of 0.092. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is an increase of 0.001% in Immigrants from Australia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to an increase of 0.8 Immigrants from Australia.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Australia communities in the United States are seen in per capita income ($33,696 compared to $57,953, a difference of 72.0%), median family income ($77,457 compared to $126,620, a difference of 63.5%), and householder income ages 45 - 64 years ($74,575 compared to $119,308, a difference of 60.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($43,591 compared to $56,660, a difference of 30.0%), wage/income gap (21.1% compared to 28.2%, a difference of 34.0%), and median female earnings ($34,693 compared to $46,573, a difference of 34.2%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Australia communities in the United States are seen in married-couple family poverty (12.8% compared to 4.4%, a difference of 192.1%), receiving food stamps (21.6% compared to 9.2%, a difference of 136.3%), and family poverty (17.5% compared to 7.6%, a difference of 130.7%). Conversely, both communities are more comparable in terms of single father poverty (20.6% compared to 15.7%, a difference of 30.9%), female poverty among 18-24 year olds (27.5% compared to 20.9%, a difference of 31.5%), and seniors poverty over the age of 75 (16.5% compared to 12.2%, a difference of 34.7%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Australia communities in the United States are seen in unemployment among seniors over 75 years (16.5% compared to 8.0%, a difference of 104.8%), unemployment among women with children under 6 years (13.5% compared to 6.8%, a difference of 99.8%), and unemployment among seniors over 65 years (8.2% compared to 5.1%, a difference of 61.6%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (20.0% compared to 17.7%, a difference of 13.5%), unemployment among ages 25 to 29 years (8.0% compared to 6.2%, a difference of 29.4%), and unemployment among ages 60 to 64 years (6.8% compared to 5.1%, a difference of 33.3%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Australia communities in the United States are seen in in labor force | age 45-54 (74.4% compared to 82.9%, a difference of 11.4%), in labor force | age 16-19 (31.5% compared to 35.1%, a difference of 11.2%), and in labor force | age 35-44 (76.3% compared to 84.8%, a difference of 11.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (68.9% compared to 74.6%, a difference of 8.2%), in labor force | age 25-29 (78.2% compared to 85.3%, a difference of 9.1%), and in labor force | age 30-34 (78.2% compared to 85.6%, a difference of 9.5%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Australia communities in the United States are seen in single mother households (7.4% compared to 5.1%, a difference of 45.3%), births to unmarried women (31.7% compared to 26.6%, a difference of 18.9%), and average family size (3.60 compared to 3.13, a difference of 15.1%). Conversely, both communities are more comparable in terms of divorced or separated (11.3% compared to 11.3%, a difference of 0.35%), family households (63.0% compared to 61.3%, a difference of 2.7%), and single father households (2.2% compared to 2.0%, a difference of 10.3%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Australia communities in the United States are seen in no vehicles in household (19.5% compared to 13.8%, a difference of 40.9%), 4 or more vehicles in household (4.5% compared to 5.8%, a difference of 30.4%), and 3 or more vehicles in household (14.2% compared to 18.1%, a difference of 26.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 86.4%, a difference of 7.2%), 2 or more vehicles in household (42.8% compared to 52.4%, a difference of 22.4%), and 3 or more vehicles in household (14.2% compared to 18.1%, a difference of 26.9%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Australia communities in the United States are seen in no schooling completed (4.1% compared to 1.7%, a difference of 135.9%), professional degree (3.4% compared to 6.9%, a difference of 102.6%), and doctorate degree (1.4% compared to 2.8%, a difference of 95.7%). Conversely, both communities are more comparable in terms of nursery school (95.9% compared to 98.3%, a difference of 2.5%), kindergarten (95.9% compared to 98.3%, a difference of 2.5%), and 1st grade (95.8% compared to 98.3%, a difference of 2.6%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Australia communities in the United States are seen in disability age 35 to 64 (14.0% compared to 9.7%, a difference of 45.2%), vision disability (2.6% compared to 1.9%, a difference of 34.3%), and self-care disability (3.0% compared to 2.3%, a difference of 32.0%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.9%, a difference of 4.5%), disability age 5 to 17 (5.3% compared to 5.0%, a difference of 6.1%), and cognitive disability (18.8% compared to 17.1%, a difference of 9.7%).