Immigrants from Bahamas vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 100,501,709 people shows a slight negative correlation between the proportion of Immigrants from China within Immigrant from Bahamas communities in the United States with a correlation coefficient (R) of -0.056. On average, for every 1% (one percent) increase in Immigrants from Bahamas within a typical geography, there is a decrease of 0.025% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bahamas corresponds to a decrease of 24.9 Immigrants from China.

When considering income, the most significant differences between Immigrants from Bahamas and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($76,910 compared to $119,756, a difference of 55.7%), median male earnings ($45,176 compared to $67,353, a difference of 49.1%), and median family income ($84,732 compared to $125,540, a difference of 48.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($45,793 compared to $57,931, a difference of 26.5%), wage/income gap (21.1% compared to 26.7%, a difference of 26.7%), and householder income over 65 years ($53,174 compared to $69,174, a difference of 30.1%).

When considering poverty, the most significant differences between Immigrants from Bahamas and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (22.7% compared to 13.6%, a difference of 66.7%), receiving food stamps (15.8% compared to 9.6%, a difference of 64.7%), and child poverty among girls under 16 (21.4% compared to 13.4%, a difference of 59.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.4% compared to 20.2%, a difference of 6.0%), seniors poverty over the age of 75 (14.4% compared to 13.2%, a difference of 9.1%), and seniors poverty over the age of 65 (13.0% compared to 11.5%, a difference of 13.7%).

When considering unemployment, the most significant differences between Immigrants from Bahamas and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (9.6% compared to 6.2%, a difference of 54.6%), unemployment among women with children ages 6 to 17 years (10.1% compared to 7.7%, a difference of 31.6%), and unemployment among women with children under 18 years (6.1% compared to 4.9%, a difference of 24.9%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.1% compared to 5.1%, a difference of 1.2%), unemployment among ages 55 to 59 years (4.8% compared to 5.0%, a difference of 4.2%), and unemployment among ages 20 to 24 years (10.9% compared to 10.4%, a difference of 4.6%).

When considering labor participation, the most significant differences between Immigrants from Bahamas and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (35.5% compared to 31.1%, a difference of 13.9%), in labor force | age 20-24 (73.2% compared to 71.1%, a difference of 3.0%), and in labor force | age > 16 (64.0% compared to 65.4%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.070%), in labor force | age 45-54 (82.3% compared to 83.2%, a difference of 1.1%), and in labor force | age 25-29 (83.6% compared to 84.6%, a difference of 1.2%).

When considering family structure, the most significant differences between Immigrants from Bahamas and Immigrants from China communities in the United States are seen in births to unmarried women (40.1% compared to 24.7%, a difference of 62.5%), single mother households (8.0% compared to 5.1%, a difference of 57.8%), and divorced or separated (13.9% compared to 10.0%, a difference of 38.6%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.23, a difference of 1.2%), family households (63.6% compared to 64.7%, a difference of 1.7%), and family households with children (26.3% compared to 27.4%, a difference of 4.2%).

When considering vehicle availability, the most significant differences between Immigrants from Bahamas and Immigrants from China communities in the United States are seen in no vehicles in household (9.9% compared to 15.2%, a difference of 53.2%), 4 or more vehicles in household (5.3% compared to 6.0%, a difference of 14.8%), and 1 or more vehicles in household (90.2% compared to 84.9%, a difference of 6.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (52.5% compared to 51.5%, a difference of 1.9%), 3 or more vehicles in household (17.4% compared to 18.2%, a difference of 4.6%), and 1 or more vehicles in household (90.2% compared to 84.9%, a difference of 6.2%).

When considering education level, the most significant differences between Immigrants from Bahamas and Immigrants from China communities in the United States are seen in doctorate degree (1.5% compared to 3.1%, a difference of 104.9%), professional degree (3.8% compared to 6.7%, a difference of 77.8%), and master's degree (12.9% compared to 21.2%, a difference of 64.1%). Conversely, both communities are more comparable in terms of 10th grade (93.4% compared to 93.2%, a difference of 0.24%), kindergarten (97.8% compared to 97.4%, a difference of 0.32%), and nursery school (97.8% compared to 97.5%, a difference of 0.34%).

When considering disability, the most significant differences between Immigrants from Bahamas and Immigrants from China communities in the United States are seen in disability age 5 to 17 (6.2% compared to 4.5%, a difference of 38.0%), disability age 35 to 64 (11.8% compared to 8.7%, a difference of 35.5%), and vision disability (2.4% compared to 1.8%, a difference of 32.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.7% compared to 46.3%, a difference of 3.0%), cognitive disability (18.0% compared to 16.9%, a difference of 6.4%), and self-care disability (2.5% compared to 2.3%, a difference of 8.4%).