Immigrants from Ghana vs Immigrants from Malaysia Community Comparison

The statistical analysis conducted on geographies consisting of 120,549,461 people shows a substantial positive correlation between the proportion of Immigrants from Malaysia within Immigrant from Ghana communities in the United States with a correlation coefficient (R) of 0.591. On average, for every 1% (one percent) increase in Immigrants from Ghana within a typical geography, there is an increase of 0.041% in Immigrants from Malaysia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Ghana corresponds to an increase of 41.1 Immigrants from Malaysia.

When considering income, the most significant differences between Immigrants from Ghana and Immigrants from Malaysia communities in the United States are seen in householder income ages 25 - 44 years ($87,760 compared to $107,650, a difference of 22.7%), per capita income ($41,131 compared to $49,983, a difference of 21.5%), and median family income ($96,544 compared to $115,880, a difference of 20.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,333 compared to $54,179, a difference of 5.6%), median female earnings ($39,894 compared to $43,835, a difference of 9.9%), and householder income over 65 years ($58,624 compared to $65,497, a difference of 11.7%).

When considering poverty, the most significant differences between Immigrants from Ghana and Immigrants from Malaysia communities in the United States are seen in receiving food stamps (14.1% compared to 10.4%, a difference of 36.0%), family poverty (10.8% compared to 8.5%, a difference of 28.2%), and child poverty under the age of 16 (19.1% compared to 15.0%, a difference of 27.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.5% compared to 20.5%, a difference of 0.26%), single mother poverty (29.9% compared to 27.3%, a difference of 9.5%), and single father poverty (16.7% compared to 15.2%, a difference of 10.1%).

When considering unemployment, the most significant differences between Immigrants from Ghana and Immigrants from Malaysia communities in the United States are seen in unemployment among women with children under 6 years (8.3% compared to 6.4%, a difference of 30.2%), unemployment among ages 35 to 44 years (5.4% compared to 4.3%, a difference of 25.0%), and unemployment among women with children under 18 years (6.2% compared to 5.0%, a difference of 24.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.1% compared to 4.9%, a difference of 4.7%), unemployment among ages 65 to 74 years (5.6% compared to 5.2%, a difference of 6.0%), and unemployment among seniors over 65 years (5.4% compared to 5.0%, a difference of 6.7%).

When considering labor participation, the most significant differences between Immigrants from Ghana and Immigrants from Malaysia communities in the United States are seen in in labor force | age 16-19 (35.4% compared to 34.3%, a difference of 3.3%), in labor force | age 20-24 (74.5% compared to 73.3%, a difference of 1.6%), and in labor force | age > 16 (67.1% compared to 66.1%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.0% compared to 80.1%, a difference of 0.040%), in labor force | age 35-44 (84.7% compared to 84.6%, a difference of 0.050%), and in labor force | age 30-34 (85.2% compared to 85.1%, a difference of 0.090%).

When considering family structure, the most significant differences between Immigrants from Ghana and Immigrants from Malaysia communities in the United States are seen in single mother households (8.0% compared to 5.7%, a difference of 41.1%), births to unmarried women (34.5% compared to 27.4%, a difference of 26.2%), and single father households (2.4% compared to 2.0%, a difference of 19.2%). Conversely, both communities are more comparable in terms of family households (63.4% compared to 64.0%, a difference of 0.89%), average family size (3.29 compared to 3.22, a difference of 2.0%), and family households with children (28.6% compared to 27.9%, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Immigrants from Ghana and Immigrants from Malaysia communities in the United States are seen in no vehicles in household (16.6% compared to 13.6%, a difference of 22.2%), 4 or more vehicles in household (5.2% compared to 5.9%, a difference of 14.1%), and 3 or more vehicles in household (16.2% compared to 18.3%, a difference of 13.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (83.4% compared to 86.5%, a difference of 3.6%), 2 or more vehicles in household (47.4% compared to 52.7%, a difference of 11.2%), and 3 or more vehicles in household (16.2% compared to 18.3%, a difference of 13.2%).

When considering education level, the most significant differences between Immigrants from Ghana and Immigrants from Malaysia communities in the United States are seen in doctorate degree (1.8% compared to 2.6%, a difference of 45.4%), professional degree (4.1% compared to 5.7%, a difference of 40.5%), and master's degree (15.0% compared to 18.9%, a difference of 26.2%). Conversely, both communities are more comparable in terms of nursery school (97.4% compared to 97.7%, a difference of 0.28%), kindergarten (97.4% compared to 97.7%, a difference of 0.28%), and 1st grade (97.4% compared to 97.6%, a difference of 0.28%).

When considering disability, the most significant differences between Immigrants from Ghana and Immigrants from Malaysia communities in the United States are seen in disability age 35 to 64 (11.8% compared to 9.7%, a difference of 21.3%), disability age 5 to 17 (5.9% compared to 5.0%, a difference of 18.6%), and vision disability (2.2% compared to 1.9%, a difference of 16.5%). Conversely, both communities are more comparable in terms of disability age over 75 (47.7% compared to 46.4%, a difference of 2.8%), hearing disability (2.6% compared to 2.7%, a difference of 6.5%), and cognitive disability (18.3% compared to 17.1%, a difference of 6.9%).