Immigrants from Philippines vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 418,520,770 people shows a poor negative correlation between the proportion of Immigrants from China within Immigrant from Philippines communities in the United States with a correlation coefficient (R) of -0.181. On average, for every 1% (one percent) increase in Immigrants from Philippines within a typical geography, there is a decrease of 0.042% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Philippines corresponds to a decrease of 41.8 Immigrants from China.

When considering income, the most significant differences between Immigrants from Philippines and Immigrants from China communities in the United States are seen in per capita income ($44,000 compared to $54,264, a difference of 23.3%), median male earnings ($55,809 compared to $67,353, a difference of 20.7%), and median earnings ($48,266 compared to $56,638, a difference of 17.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,930 compared to $57,931, a difference of 0.0%), householder income over 65 years ($66,161 compared to $69,174, a difference of 4.5%), and wage/income gap (24.7% compared to 26.7%, a difference of 8.1%).

When considering poverty, the most significant differences between Immigrants from Philippines and Immigrants from China communities in the United States are seen in female poverty among 18-24 year olds (16.7% compared to 20.2%, a difference of 21.0%), receiving food stamps (10.7% compared to 9.6%, a difference of 11.4%), and seniors poverty over the age of 75 (11.9% compared to 13.2%, a difference of 11.0%). Conversely, both communities are more comparable in terms of single mother poverty (26.5% compared to 26.1%, a difference of 1.4%), family poverty (8.0% compared to 7.8%, a difference of 2.4%), and single female poverty (18.6% compared to 18.1%, a difference of 2.4%).

When considering unemployment, the most significant differences between Immigrants from Philippines and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.2%, a difference of 20.9%), unemployment among seniors over 75 years (8.9% compared to 7.8%, a difference of 15.0%), and unemployment among women with children under 18 years (5.4% compared to 4.9%, a difference of 10.4%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 0.23%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.27%), and unemployment among ages 20 to 24 years (10.4% compared to 10.4%, a difference of 0.38%).

When considering labor participation, the most significant differences between Immigrants from Philippines and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (35.1% compared to 31.1%, a difference of 12.7%), in labor force | age 20-24 (75.1% compared to 71.1%, a difference of 5.7%), and in labor force | age 30-34 (84.6% compared to 85.4%, a difference of 0.95%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.8% compared to 79.7%, a difference of 0.090%), in labor force | age 45-54 (82.9% compared to 83.2%, a difference of 0.33%), and in labor force | age > 16 (65.6% compared to 65.4%, a difference of 0.40%).

When considering family structure, the most significant differences between Immigrants from Philippines and Immigrants from China communities in the United States are seen in single father households (2.4% compared to 1.8%, a difference of 28.8%), births to unmarried women (30.4% compared to 24.7%, a difference of 23.3%), and single mother households (6.1% compared to 5.1%, a difference of 20.3%). Conversely, both communities are more comparable in terms of currently married (47.6% compared to 47.9%, a difference of 0.60%), married-couple households (49.3% compared to 48.4%, a difference of 1.9%), and average family size (3.37 compared to 3.23, a difference of 4.5%).

When considering vehicle availability, the most significant differences between Immigrants from Philippines and Immigrants from China communities in the United States are seen in no vehicles in household (8.5% compared to 15.2%, a difference of 77.3%), 4 or more vehicles in household (8.5% compared to 6.0%, a difference of 41.7%), and 3 or more vehicles in household (23.8% compared to 18.2%, a difference of 30.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.5% compared to 84.9%, a difference of 7.7%), 2 or more vehicles in household (60.1% compared to 51.5%, a difference of 16.7%), and 3 or more vehicles in household (23.8% compared to 18.2%, a difference of 30.4%).

When considering education level, the most significant differences between Immigrants from Philippines and Immigrants from China communities in the United States are seen in doctorate degree (1.6% compared to 3.1%, a difference of 89.4%), professional degree (3.9% compared to 6.7%, a difference of 72.5%), and master's degree (13.6% compared to 21.2%, a difference of 55.7%). Conversely, both communities are more comparable in terms of nursery school (97.5% compared to 97.5%, a difference of 0.020%), kindergarten (97.4% compared to 97.4%, a difference of 0.020%), and 1st grade (97.4% compared to 97.4%, a difference of 0.020%).

When considering disability, the most significant differences between Immigrants from Philippines and Immigrants from China communities in the United States are seen in disability age under 5 (1.2% compared to 0.96%, a difference of 21.0%), disability age 35 to 64 (10.4% compared to 8.7%, a difference of 19.4%), and male disability (10.9% compared to 9.5%, a difference of 15.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.9%, a difference of 1.2%), disability age over 75 (48.8% compared to 46.3%, a difference of 5.3%), and female disability (11.7% compared to 10.7%, a difference of 9.5%).