Immigrants from Yemen vs Immigrants from Latvia Community Comparison

The statistical analysis conducted on geographies consisting of 45,933,771 people shows a significant positive correlation between the proportion of Immigrants from Latvia within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of 0.690. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is an increase of 0.137% in Immigrants from Latvia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to an increase of 137.3 Immigrants from Latvia.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Latvia communities in the United States are seen in per capita income ($33,696 compared to $50,914, a difference of 51.1%), householder income ages 45 - 64 years ($74,575 compared to $111,454, a difference of 49.4%), and median family income ($77,457 compared to $114,826, a difference of 48.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($43,591 compared to $51,737, a difference of 18.7%), median female earnings ($34,693 compared to $43,099, a difference of 24.2%), and wage/income gap (21.1% compared to 26.7%, a difference of 27.1%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Latvia communities in the United States are seen in married-couple family poverty (12.8% compared to 4.5%, a difference of 183.9%), family poverty (17.5% compared to 7.9%, a difference of 122.0%), and receiving food stamps (21.6% compared to 10.3%, a difference of 109.2%). Conversely, both communities are more comparable in terms of single father poverty (20.6% compared to 15.8%, a difference of 30.5%), female poverty among 18-24 year olds (27.5% compared to 20.4%, a difference of 35.0%), and seniors poverty over the age of 75 (16.5% compared to 12.0%, a difference of 37.6%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Latvia communities in the United States are seen in unemployment among seniors over 75 years (16.5% compared to 7.8%, a difference of 110.6%), unemployment among women with children under 6 years (13.5% compared to 6.8%, a difference of 98.1%), and unemployment among seniors over 65 years (8.2% compared to 5.0%, a difference of 62.3%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (20.0% compared to 16.8%, a difference of 19.2%), unemployment among ages 25 to 29 years (8.0% compared to 6.6%, a difference of 21.3%), and unemployment among youth under 25 years (15.6% compared to 11.2%, a difference of 38.5%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Latvia communities in the United States are seen in in labor force | age 16-19 (31.5% compared to 36.8%, a difference of 16.7%), in labor force | age 45-54 (74.4% compared to 83.4%, a difference of 12.1%), and in labor force | age 35-44 (76.3% compared to 85.0%, a difference of 11.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (68.9% compared to 75.0%, a difference of 8.8%), in labor force | age > 16 (59.6% compared to 65.1%, a difference of 9.1%), and in labor force | age 25-29 (78.2% compared to 85.6%, a difference of 9.4%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Latvia communities in the United States are seen in single mother households (7.4% compared to 5.5%, a difference of 35.1%), average family size (3.60 compared to 3.13, a difference of 14.8%), and family households with children (29.4% compared to 25.9%, a difference of 13.8%). Conversely, both communities are more comparable in terms of family households (63.0% compared to 62.0%, a difference of 1.6%), divorced or separated (11.3% compared to 11.6%, a difference of 2.2%), and births to unmarried women (31.7% compared to 29.1%, a difference of 8.8%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Latvia communities in the United States are seen in no vehicles in household (19.5% compared to 12.1%, a difference of 61.0%), 4 or more vehicles in household (4.5% compared to 5.5%, a difference of 23.2%), and 3 or more vehicles in household (14.2% compared to 17.4%, a difference of 22.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 88.1%, a difference of 9.3%), 2 or more vehicles in household (42.8% compared to 52.2%, a difference of 21.9%), and 3 or more vehicles in household (14.2% compared to 17.4%, a difference of 22.1%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Latvia communities in the United States are seen in no schooling completed (4.1% compared to 1.9%, a difference of 122.5%), professional degree (3.4% compared to 5.8%, a difference of 71.4%), and doctorate degree (1.4% compared to 2.4%, a difference of 66.4%). Conversely, both communities are more comparable in terms of nursery school (95.9% compared to 98.2%, a difference of 2.5%), kindergarten (95.9% compared to 98.2%, a difference of 2.5%), and 1st grade (95.8% compared to 98.2%, a difference of 2.5%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Latvia communities in the United States are seen in disability age 35 to 64 (14.0% compared to 10.1%, a difference of 38.7%), disability age under 5 (0.91% compared to 1.2%, a difference of 36.6%), and vision disability (2.6% compared to 2.0%, a difference of 28.0%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.3% compared to 5.3%, a difference of 0.21%), disability age 18 to 34 (7.0% compared to 6.4%, a difference of 8.9%), and cognitive disability (18.8% compared to 17.2%, a difference of 9.6%).