Immigrants from Kenya vs Immigrants from Moldova Community Comparison

The statistical analysis conducted on geographies consisting of 91,142,411 people shows a strong positive correlation between the proportion of Immigrants from Moldova within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.721. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.148% in Immigrants from Moldova. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 148.2 Immigrants from Moldova.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Moldova communities in the United States are seen in householder income under 25 years ($49,633 compared to $56,168, a difference of 13.2%), householder income ages 25 - 44 years ($90,767 compared to $101,091, a difference of 11.4%), and per capita income ($42,661 compared to $47,489, a difference of 11.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($59,710 compared to $62,939, a difference of 5.4%), median female earnings ($39,535 compared to $42,304, a difference of 7.0%), and wage/income gap (24.4% compared to 26.2%, a difference of 7.4%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Moldova communities in the United States are seen in child poverty among girls under 16 (17.2% compared to 13.9%, a difference of 23.6%), child poverty under the age of 5 (17.9% compared to 14.5%, a difference of 23.1%), and child poverty under the age of 16 (16.9% compared to 13.8%, a difference of 22.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.9% compared to 11.9%, a difference of 0.17%), single father poverty (15.0% compared to 15.2%, a difference of 1.5%), and seniors poverty over the age of 65 (10.5% compared to 10.4%, a difference of 1.5%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Moldova communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 6.6%, a difference of 10.0%), unemployment among women with children under 18 years (5.4% compared to 5.0%, a difference of 6.8%), and unemployment among ages 45 to 54 years (4.4% compared to 4.1%, a difference of 5.9%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.050%), unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.12%), and unemployment among ages 20 to 24 years (9.7% compared to 9.8%, a difference of 0.61%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Moldova communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 37.7%, a difference of 7.5%), in labor force | age > 16 (67.6% compared to 66.1%, a difference of 2.1%), and in labor force | age 20-24 (77.0% compared to 76.6%, a difference of 0.46%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.1% compared to 85.0%, a difference of 0.090%), in labor force | age 20-64 (80.7% compared to 80.6%, a difference of 0.22%), and in labor force | age 45-54 (83.5% compared to 83.7%, a difference of 0.25%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Moldova communities in the United States are seen in single mother households (7.0% compared to 5.6%, a difference of 23.5%), births to unmarried women (32.1% compared to 27.3%, a difference of 17.6%), and single father households (2.4% compared to 2.1%, a difference of 12.3%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.18, a difference of 0.96%), divorced or separated (12.2% compared to 12.1%, a difference of 1.4%), and family households with children (28.1% compared to 27.6%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Moldova communities in the United States are seen in 2 or more vehicles in household (55.1% compared to 56.1%, a difference of 1.8%), no vehicles in household (9.6% compared to 9.8%, a difference of 1.7%), and 3 or more vehicles in household (18.8% compared to 19.1%, a difference of 1.5%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.0% compared to 6.0%, a difference of 0.030%), 1 or more vehicles in household (90.4% compared to 90.2%, a difference of 0.17%), and 3 or more vehicles in household (18.8% compared to 19.1%, a difference of 1.5%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Moldova communities in the United States are seen in professional degree (4.4% compared to 4.9%, a difference of 11.2%), master's degree (15.3% compared to 16.6%, a difference of 9.0%), and bachelor's degree (38.8% compared to 41.6%, a difference of 7.3%). Conversely, both communities are more comparable in terms of kindergarten (97.9% compared to 98.0%, a difference of 0.14%), 1st grade (97.8% compared to 98.0%, a difference of 0.14%), and nursery school (97.9% compared to 98.0%, a difference of 0.15%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Moldova communities in the United States are seen in disability age 5 to 17 (5.8% compared to 5.2%, a difference of 11.8%), disability age 35 to 64 (11.6% compared to 10.6%, a difference of 9.9%), and self-care disability (2.3% compared to 2.6%, a difference of 9.8%). Conversely, both communities are more comparable in terms of disability (11.6% compared to 11.6%, a difference of 0.0%), female disability (12.0% compared to 12.0%, a difference of 0.11%), and disability age over 75 (47.6% compared to 47.4%, a difference of 0.22%).