Indonesian vs Immigrants from Middle Africa Community Comparison

The statistical analysis conducted on geographies consisting of 109,412,994 people shows a weak positive correlation between the proportion of Immigrants from Middle Africa within Indonesian communities in the United States with a correlation coefficient (R) of 0.254. On average, for every 1% (one percent) increase in Indonesians within a typical geography, there is an increase of 0.046% in Immigrants from Middle Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indonesians corresponds to an increase of 46.1 Immigrants from Middle Africa.

When considering income, the most significant differences between Indonesian and Immigrants from Middle Africa communities in the United States are seen in householder income over 65 years ($54,176 compared to $58,375, a difference of 7.7%), householder income ages 45 - 64 years ($84,890 compared to $91,293, a difference of 7.5%), and median household income ($72,856 compared to $77,559, a difference of 6.5%). Conversely, both communities are more comparable in terms of wage/income gap (22.7% compared to 22.4%, a difference of 1.6%), householder income ages 25 - 44 years ($79,543 compared to $82,254, a difference of 3.4%), and median male earnings ($47,503 compared to $49,201, a difference of 3.6%).

When considering poverty, the most significant differences between Indonesian and Immigrants from Middle Africa communities in the United States are seen in married-couple family poverty (6.3% compared to 5.4%, a difference of 17.3%), child poverty under the age of 5 (22.3% compared to 19.7%, a difference of 12.8%), and family poverty (11.3% compared to 10.1%, a difference of 11.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.1% compared to 12.1%, a difference of 0.12%), female poverty among 18-24 year olds (22.5% compared to 22.1%, a difference of 1.8%), and seniors poverty over the age of 65 (11.5% compared to 11.1%, a difference of 3.6%).

When considering unemployment, the most significant differences between Indonesian and Immigrants from Middle Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.1%, a difference of 23.3%), unemployment among ages 20 to 24 years (9.0% compared to 10.4%, a difference of 16.0%), and unemployment among youth under 25 years (10.6% compared to 11.9%, a difference of 12.8%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 1.7%), unemployment among ages 30 to 34 years (5.2% compared to 5.3%, a difference of 1.9%), and unemployment among ages 35 to 44 years (4.7% compared to 4.8%, a difference of 2.4%).

When considering labor participation, the most significant differences between Indonesian and Immigrants from Middle Africa communities in the United States are seen in in labor force | age > 16 (66.3% compared to 67.7%, a difference of 2.2%), in labor force | age 45-54 (81.5% compared to 83.3%, a difference of 2.2%), and in labor force | age 16-19 (40.7% compared to 39.9%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 85.0%, a difference of 0.39%), in labor force | age 20-24 (77.2% compared to 76.6%, a difference of 0.76%), and in labor force | age 30-34 (84.3% compared to 85.2%, a difference of 0.99%).

When considering family structure, the most significant differences between Indonesian and Immigrants from Middle Africa communities in the United States are seen in single mother households (7.5% compared to 7.7%, a difference of 3.2%), single father households (2.6% compared to 2.5%, a difference of 3.0%), and currently married (43.5% compared to 43.0%, a difference of 1.1%). Conversely, both communities are more comparable in terms of births to unmarried women (35.0% compared to 34.9%, a difference of 0.13%), divorced or separated (12.6% compared to 12.7%, a difference of 0.51%), and family households with children (28.1% compared to 28.0%, a difference of 0.52%).

When considering vehicle availability, the most significant differences between Indonesian and Immigrants from Middle Africa communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 5.8%, a difference of 2.8%), no vehicles in household (10.3% compared to 10.2%, a difference of 1.3%), and 3 or more vehicles in household (18.3% compared to 18.2%, a difference of 0.24%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.4% compared to 53.4%, a difference of 0.10%), 1 or more vehicles in household (89.7% compared to 89.9%, a difference of 0.15%), and 3 or more vehicles in household (18.3% compared to 18.2%, a difference of 0.24%).

When considering education level, the most significant differences between Indonesian and Immigrants from Middle Africa communities in the United States are seen in no schooling completed (3.2% compared to 2.4%, a difference of 33.5%), doctorate degree (1.6% compared to 1.9%, a difference of 18.2%), and master's degree (12.6% compared to 14.6%, a difference of 15.5%). Conversely, both communities are more comparable in terms of 2nd grade (96.7% compared to 97.5%, a difference of 0.79%), nursery school (96.8% compared to 97.6%, a difference of 0.85%), and kindergarten (96.8% compared to 97.6%, a difference of 0.86%).

When considering disability, the most significant differences between Indonesian and Immigrants from Middle Africa communities in the United States are seen in disability age 35 to 64 (13.2% compared to 12.0%, a difference of 10.6%), hearing disability (3.0% compared to 2.8%, a difference of 8.4%), and ambulatory disability (6.3% compared to 5.9%, a difference of 6.4%). Conversely, both communities are more comparable in terms of cognitive disability (18.7% compared to 18.6%, a difference of 0.65%), disability age 5 to 17 (5.9% compared to 5.9%, a difference of 1.2%), and disability age over 75 (48.2% compared to 47.1%, a difference of 2.2%).