Immigrants from Yemen vs Immigrants from Malaysia Community Comparison

The statistical analysis conducted on geographies consisting of 62,658,972 people shows a mild negative correlation between the proportion of Immigrants from Malaysia within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of -0.312. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is a decrease of 0.012% in Immigrants from Malaysia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to a decrease of 12.5 Immigrants from Malaysia.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Malaysia communities in the United States are seen in householder income ages 45 - 64 years ($74,575 compared to $112,796, a difference of 51.2%), median family income ($77,457 compared to $115,880, a difference of 49.6%), and per capita income ($33,696 compared to $49,983, a difference of 48.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($43,591 compared to $54,179, a difference of 24.3%), wage/income gap (21.1% compared to 26.3%, a difference of 24.9%), and median female earnings ($34,693 compared to $43,835, a difference of 26.4%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Malaysia communities in the United States are seen in married-couple family poverty (12.8% compared to 5.1%, a difference of 148.9%), receiving food stamps (21.6% compared to 10.4%, a difference of 108.5%), and family poverty (17.5% compared to 8.5%, a difference of 106.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (16.5% compared to 12.3%, a difference of 33.7%), female poverty among 18-24 year olds (27.5% compared to 20.5%, a difference of 34.5%), and single father poverty (20.6% compared to 15.2%, a difference of 35.4%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Malaysia communities in the United States are seen in unemployment among women with children under 6 years (13.5% compared to 6.4%, a difference of 111.1%), unemployment among seniors over 75 years (16.5% compared to 7.9%, a difference of 109.8%), and unemployment among women with children under 18 years (8.2% compared to 5.0%, a difference of 63.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (20.0% compared to 17.2%, a difference of 16.2%), unemployment among ages 25 to 29 years (8.0% compared to 6.3%, a difference of 27.4%), and unemployment among youth under 25 years (15.6% compared to 11.3%, a difference of 38.1%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Malaysia communities in the United States are seen in in labor force | age 45-54 (74.4% compared to 83.2%, a difference of 11.8%), in labor force | age 35-44 (76.3% compared to 84.6%, a difference of 10.9%), and in labor force | age > 16 (59.6% compared to 66.1%, a difference of 10.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (68.9% compared to 73.3%, a difference of 6.4%), in labor force | age 25-29 (78.2% compared to 85.0%, a difference of 8.7%), and in labor force | age 16-19 (31.5% compared to 34.3%, a difference of 8.8%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Malaysia communities in the United States are seen in single mother households (7.4% compared to 5.7%, a difference of 30.8%), births to unmarried women (31.7% compared to 27.4%, a difference of 15.7%), and married-couple households (42.0% compared to 47.2%, a difference of 12.4%). Conversely, both communities are more comparable in terms of family households (63.0% compared to 64.0%, a difference of 1.6%), divorced or separated (11.3% compared to 11.0%, a difference of 3.0%), and family households with children (29.4% compared to 27.9%, a difference of 5.4%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Malaysia communities in the United States are seen in no vehicles in household (19.5% compared to 13.6%, a difference of 43.3%), 4 or more vehicles in household (4.5% compared to 5.9%, a difference of 32.5%), and 3 or more vehicles in household (14.2% compared to 18.3%, a difference of 28.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 86.5%, a difference of 7.4%), 2 or more vehicles in household (42.8% compared to 52.7%, a difference of 22.9%), and 3 or more vehicles in household (14.2% compared to 18.3%, a difference of 28.4%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Malaysia communities in the United States are seen in doctorate degree (1.4% compared to 2.6%, a difference of 79.0%), no schooling completed (4.1% compared to 2.3%, a difference of 76.4%), and professional degree (3.4% compared to 5.7%, a difference of 67.7%). Conversely, both communities are more comparable in terms of nursery school (95.9% compared to 97.7%, a difference of 1.9%), kindergarten (95.9% compared to 97.7%, a difference of 1.9%), and 1st grade (95.8% compared to 97.6%, a difference of 1.9%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Malaysia communities in the United States are seen in disability age 35 to 64 (14.0% compared to 9.7%, a difference of 44.0%), vision disability (2.6% compared to 1.9%, a difference of 35.7%), and self-care disability (3.0% compared to 2.3%, a difference of 30.5%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.7%, a difference of 2.9%), disability age 5 to 17 (5.3% compared to 5.0%, a difference of 7.4%), and cognitive disability (18.8% compared to 17.1%, a difference of 9.9%).