Immigrants from Yemen vs Immigrants from Moldova Community Comparison

The statistical analysis conducted on geographies consisting of 47,340,979 people shows a strong positive correlation between the proportion of Immigrants from Moldova within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of 0.717. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is an increase of 0.641% in Immigrants from Moldova. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to an increase of 640.6 Immigrants from Moldova.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Moldova communities in the United States are seen in householder income ages 45 - 64 years ($74,575 compared to $107,357, a difference of 44.0%), median family income ($77,457 compared to $109,975, a difference of 42.0%), and per capita income ($33,696 compared to $47,489, a difference of 40.9%). Conversely, both communities are more comparable in terms of median female earnings ($34,693 compared to $42,304, a difference of 21.9%), wage/income gap (21.1% compared to 26.2%, a difference of 24.4%), and median earnings ($39,540 compared to $50,274, a difference of 27.2%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Moldova communities in the United States are seen in married-couple family poverty (12.8% compared to 4.7%, a difference of 173.1%), family poverty (17.5% compared to 7.7%, a difference of 126.9%), and child poverty among girls under 16 (29.5% compared to 13.9%, a difference of 112.1%). Conversely, both communities are more comparable in terms of single father poverty (20.6% compared to 15.2%, a difference of 35.4%), seniors poverty over the age of 75 (16.5% compared to 11.9%, a difference of 38.3%), and single mother poverty (38.5% compared to 26.2%, a difference of 46.7%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Moldova communities in the United States are seen in unemployment among women with children under 6 years (13.5% compared to 6.6%, a difference of 104.4%), unemployment among seniors over 75 years (16.5% compared to 8.3%, a difference of 97.4%), and unemployment among seniors over 65 years (8.2% compared to 4.9%, a difference of 66.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (20.0% compared to 17.1%, a difference of 17.2%), unemployment among ages 25 to 29 years (8.0% compared to 6.5%, a difference of 23.4%), and unemployment among youth under 25 years (15.6% compared to 11.2%, a difference of 39.6%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Moldova communities in the United States are seen in in labor force | age 16-19 (31.5% compared to 37.7%, a difference of 19.6%), in labor force | age 45-54 (74.4% compared to 83.7%, a difference of 12.4%), and in labor force | age 20-64 (72.3% compared to 80.6%, a difference of 11.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (78.2% compared to 85.1%, a difference of 8.8%), in labor force | age 30-34 (78.2% compared to 85.3%, a difference of 9.0%), and in labor force | age > 16 (59.6% compared to 66.1%, a difference of 10.9%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Moldova communities in the United States are seen in single mother households (7.4% compared to 5.6%, a difference of 31.0%), births to unmarried women (31.7% compared to 27.3%, a difference of 16.1%), and currently married (42.1% compared to 48.5%, a difference of 15.3%). Conversely, both communities are more comparable in terms of single father households (2.2% compared to 2.1%, a difference of 2.2%), family households (63.0% compared to 64.4%, a difference of 2.3%), and family households with children (29.4% compared to 27.6%, a difference of 6.4%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Moldova communities in the United States are seen in no vehicles in household (19.5% compared to 9.8%, a difference of 98.6%), 3 or more vehicles in household (14.2% compared to 19.1%, a difference of 33.9%), and 4 or more vehicles in household (4.5% compared to 6.0%, a difference of 33.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 90.2%, a difference of 12.1%), 2 or more vehicles in household (42.8% compared to 56.1%, a difference of 31.0%), and 4 or more vehicles in household (4.5% compared to 6.0%, a difference of 33.8%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Moldova communities in the United States are seen in no schooling completed (4.1% compared to 2.0%, a difference of 106.1%), master's degree (11.6% compared to 16.6%, a difference of 43.8%), and professional degree (3.4% compared to 4.9%, a difference of 43.0%). Conversely, both communities are more comparable in terms of kindergarten (95.9% compared to 98.0%, a difference of 2.2%), nursery school (95.9% compared to 98.0%, a difference of 2.3%), and 1st grade (95.8% compared to 98.0%, a difference of 2.3%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Moldova communities in the United States are seen in disability age 35 to 64 (14.0% compared to 10.6%, a difference of 32.7%), vision disability (2.6% compared to 2.0%, a difference of 27.9%), and disability age under 5 (0.91% compared to 1.1%, a difference of 26.1%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.3% compared to 5.2%, a difference of 2.1%), disability age 18 to 34 (7.0% compared to 6.5%, a difference of 6.4%), and hearing disability (2.8% compared to 3.0%, a difference of 7.0%).