Immigrants from Zimbabwe vs Immigrants from Yemen Community Comparison

The statistical analysis conducted on geographies consisting of 49,097,073 people shows a strong positive correlation between the proportion of Immigrants from Yemen within Immigrant from Zimbabwe communities in the United States with a correlation coefficient (R) of 0.735. On average, for every 1% (one percent) increase in Immigrants from Zimbabwe within a typical geography, there is an increase of 0.512% in Immigrants from Yemen. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Zimbabwe corresponds to an increase of 511.7 Immigrants from Yemen.

When considering income, the most significant differences between Immigrants from Zimbabwe and Immigrants from Yemen communities in the United States are seen in householder income ages 45 - 64 years ($104,992 compared to $74,575, a difference of 40.8%), per capita income ($47,394 compared to $33,696, a difference of 40.6%), and median family income ($108,830 compared to $77,457, a difference of 40.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,914 compared to $43,591, a difference of 19.1%), median female earnings ($41,527 compared to $34,693, a difference of 19.7%), and wage/income gap (25.3% compared to 21.1%, a difference of 20.3%).

When considering poverty, the most significant differences between Immigrants from Zimbabwe and Immigrants from Yemen communities in the United States are seen in married-couple family poverty (4.3% compared to 12.8%, a difference of 194.6%), receiving food stamps (9.9% compared to 21.6%, a difference of 117.5%), and family poverty (8.2% compared to 17.5%, a difference of 113.1%). Conversely, both communities are more comparable in terms of single father poverty (16.1% compared to 20.6%, a difference of 27.7%), single male poverty (12.6% compared to 16.9%, a difference of 34.0%), and single mother poverty (28.1% compared to 38.5%, a difference of 37.1%).

When considering unemployment, the most significant differences between Immigrants from Zimbabwe and Immigrants from Yemen communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 13.5%, a difference of 89.7%), unemployment among seniors over 75 years (9.0% compared to 16.5%, a difference of 82.4%), and unemployment among seniors over 65 years (5.0% compared to 8.2%, a difference of 64.6%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.3% compared to 20.0%, a difference of 22.6%), unemployment among ages 25 to 29 years (6.1% compared to 8.0%, a difference of 30.8%), and unemployment among ages 30 to 34 years (5.1% compared to 7.3%, a difference of 41.6%).

When considering labor participation, the most significant differences between Immigrants from Zimbabwe and Immigrants from Yemen communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 31.5%, a difference of 20.5%), in labor force | age > 16 (66.8% compared to 59.6%, a difference of 12.0%), and in labor force | age 45-54 (83.4% compared to 74.4%, a difference of 12.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 78.2%, a difference of 8.9%), in labor force | age 25-29 (85.2% compared to 78.2%, a difference of 8.9%), and in labor force | age 20-24 (75.9% compared to 68.9%, a difference of 10.1%).

When considering family structure, the most significant differences between Immigrants from Zimbabwe and Immigrants from Yemen communities in the United States are seen in single mother households (6.2% compared to 7.4%, a difference of 20.0%), average family size (3.19 compared to 3.60, a difference of 12.7%), and currently married (46.7% compared to 42.1%, a difference of 11.0%). Conversely, both communities are more comparable in terms of family households (63.5% compared to 63.0%, a difference of 0.79%), single father households (2.2% compared to 2.2%, a difference of 2.8%), and births to unmarried women (30.3% compared to 31.7%, a difference of 4.4%).

When considering vehicle availability, the most significant differences between Immigrants from Zimbabwe and Immigrants from Yemen communities in the United States are seen in no vehicles in household (9.9% compared to 19.5%, a difference of 97.6%), 4 or more vehicles in household (6.0% compared to 4.5%, a difference of 35.7%), and 3 or more vehicles in household (19.1% compared to 14.2%, a difference of 34.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 80.5%, a difference of 12.0%), 2 or more vehicles in household (55.6% compared to 42.8%, a difference of 29.7%), and 3 or more vehicles in household (19.1% compared to 14.2%, a difference of 34.2%).

When considering education level, the most significant differences between Immigrants from Zimbabwe and Immigrants from Yemen communities in the United States are seen in no schooling completed (1.9% compared to 4.1%, a difference of 121.2%), professional degree (5.3% compared to 3.4%, a difference of 54.7%), and doctorate degree (2.2% compared to 1.4%, a difference of 52.6%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 95.9%, a difference of 2.4%), kindergarten (98.2% compared to 95.9%, a difference of 2.4%), and 1st grade (98.1% compared to 95.8%, a difference of 2.4%).

When considering disability, the most significant differences between Immigrants from Zimbabwe and Immigrants from Yemen communities in the United States are seen in self-care disability (2.3% compared to 3.0%, a difference of 33.0%), disability age under 5 (1.2% compared to 0.91%, a difference of 32.7%), and disability age 35 to 64 (10.6% compared to 14.0%, a difference of 31.8%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.5% compared to 5.3%, a difference of 3.8%), disability age 18 to 34 (6.7% compared to 7.0%, a difference of 4.2%), and hearing disability (3.0% compared to 2.8%, a difference of 4.9%).