Immigrants from Singapore vs Immigrants from Kenya Community Comparison

The statistical analysis conducted on geographies consisting of 101,705,661 people shows a mild positive correlation between the proportion of Immigrants from Kenya within Immigrant from Singapore communities in the United States with a correlation coefficient (R) of 0.397. On average, for every 1% (one percent) increase in Immigrants from Singapore within a typical geography, there is an increase of 0.136% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Singapore corresponds to an increase of 136.2 Immigrants from Kenya.

When considering income, the most significant differences between Immigrants from Singapore and Immigrants from Kenya communities in the United States are seen in householder income ages 25 - 44 years ($124,429 compared to $90,767, a difference of 37.1%), per capita income ($58,353 compared to $42,661, a difference of 36.8%), and median family income ($134,818 compared to $100,679, a difference of 33.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,835 compared to $49,633, a difference of 14.5%), wage/income gap (28.9% compared to 24.4%, a difference of 18.6%), and median female earnings ($47,986 compared to $39,535, a difference of 21.4%).

When considering poverty, the most significant differences between Immigrants from Singapore and Immigrants from Kenya communities in the United States are seen in receiving food stamps (8.3% compared to 11.8%, a difference of 42.1%), child poverty under the age of 5 (12.9% compared to 17.9%, a difference of 38.0%), and child poverty among girls under 16 (12.5% compared to 17.2%, a difference of 37.9%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.9% compared to 21.0%, a difference of 0.67%), seniors poverty over the age of 75 (11.6% compared to 11.9%, a difference of 2.7%), and seniors poverty over the age of 65 (10.1% compared to 10.5%, a difference of 4.4%).

When considering unemployment, the most significant differences between Immigrants from Singapore and Immigrants from Kenya communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.3%, a difference of 15.3%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.8%, a difference of 14.7%), and unemployment among women with children under 18 years (4.9% compared to 5.4%, a difference of 10.3%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.070%), unemployment among ages 20 to 24 years (9.8% compared to 9.7%, a difference of 0.81%), and female unemployment (5.0% compared to 5.0%, a difference of 1.5%).

When considering labor participation, the most significant differences between Immigrants from Singapore and Immigrants from Kenya communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 40.5%, a difference of 20.9%), in labor force | age 20-24 (72.4% compared to 77.0%, a difference of 6.3%), and in labor force | age > 16 (66.2% compared to 67.6%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.0% compared to 85.1%, a difference of 0.17%), in labor force | age 30-34 (85.3% compared to 85.5%, a difference of 0.20%), and in labor force | age 45-54 (83.3% compared to 83.5%, a difference of 0.24%).

When considering family structure, the most significant differences between Immigrants from Singapore and Immigrants from Kenya communities in the United States are seen in single mother households (5.0% compared to 7.0%, a difference of 40.6%), single father households (1.9% compared to 2.4%, a difference of 28.3%), and births to unmarried women (25.6% compared to 32.1%, a difference of 25.2%). Conversely, both communities are more comparable in terms of family households with children (27.8% compared to 28.1%, a difference of 1.2%), family households (63.1% compared to 62.3%, a difference of 1.2%), and average family size (3.16 compared to 3.21, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Immigrants from Singapore and Immigrants from Kenya communities in the United States are seen in no vehicles in household (12.9% compared to 9.6%, a difference of 34.3%), 1 or more vehicles in household (87.2% compared to 90.4%, a difference of 3.7%), and 2 or more vehicles in household (53.9% compared to 55.1%, a difference of 2.4%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.9% compared to 6.0%, a difference of 0.47%), 3 or more vehicles in household (18.4% compared to 18.8%, a difference of 1.8%), and 2 or more vehicles in household (53.9% compared to 55.1%, a difference of 2.4%).

When considering education level, the most significant differences between Immigrants from Singapore and Immigrants from Kenya communities in the United States are seen in doctorate degree (3.7% compared to 1.9%, a difference of 92.7%), professional degree (7.7% compared to 4.4%, a difference of 76.8%), and master's degree (23.4% compared to 15.3%, a difference of 53.6%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 97.9%, a difference of 0.34%), kindergarten (98.2% compared to 97.9%, a difference of 0.34%), and 1st grade (98.2% compared to 97.8%, a difference of 0.34%).

When considering disability, the most significant differences between Immigrants from Singapore and Immigrants from Kenya communities in the United States are seen in disability age 35 to 64 (8.9% compared to 11.6%, a difference of 30.3%), disability age 5 to 17 (4.7% compared to 5.8%, a difference of 23.7%), and disability age 18 to 34 (5.7% compared to 6.9%, a difference of 20.7%). Conversely, both communities are more comparable in terms of disability age over 75 (45.6% compared to 47.6%, a difference of 4.2%), cognitive disability (17.5% compared to 18.3%, a difference of 4.7%), and hearing disability (2.6% compared to 2.9%, a difference of 8.2%).