Pennsylvania German vs Immigrants from Singapore Community Comparison

The statistical analysis conducted on geographies consisting of 88,476,264 people shows a perfect positive correlation between the proportion of Immigrants from Singapore within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.968. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.124% in Immigrants from Singapore. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 124.4 Immigrants from Singapore.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Singapore communities in the United States are seen in per capita income ($37,842 compared to $58,353, a difference of 54.2%), median family income ($91,763 compared to $134,818, a difference of 46.9%), and median household income ($75,814 compared to $110,428, a difference of 45.7%). Conversely, both communities are more comparable in terms of wage/income gap (30.7% compared to 28.9%, a difference of 6.1%), householder income under 25 years ($50,852 compared to $56,835, a difference of 11.8%), and median female earnings ($34,802 compared to $47,986, a difference of 37.9%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Singapore communities in the United States are seen in child poverty under the age of 5 (19.8% compared to 12.9%, a difference of 52.9%), child poverty among boys under 16 (17.9% compared to 12.5%, a difference of 43.4%), and child poverty among girls under 16 (17.8% compared to 12.5%, a difference of 42.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 11.6%, a difference of 1.3%), seniors poverty over the age of 65 (9.9% compared to 10.1%, a difference of 2.2%), and female poverty among 18-24 year olds (19.7% compared to 20.9%, a difference of 6.1%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Singapore communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 6.3%, a difference of 70.9%), unemployment among women with children ages 6 to 17 years (11.0% compared to 7.7%, a difference of 44.2%), and unemployment among ages 30 to 34 years (6.3% compared to 5.0%, a difference of 26.9%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.8%, a difference of 0.75%), unemployment among ages 45 to 54 years (4.3% compared to 4.2%, a difference of 1.4%), and unemployment among ages 20 to 24 years (10.0% compared to 9.8%, a difference of 2.3%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Singapore communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 33.5%, a difference of 38.6%), in labor force | age 20-24 (78.0% compared to 72.4%, a difference of 7.7%), and in labor force | age > 16 (63.4% compared to 66.2%, a difference of 4.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.9%, a difference of 1.6%), in labor force | age 20-64 (78.4% compared to 79.9%, a difference of 1.8%), and in labor force | age 45-54 (81.6% compared to 83.3%, a difference of 2.0%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Singapore communities in the United States are seen in births to unmarried women (34.0% compared to 25.6%, a difference of 32.7%), single father households (2.4% compared to 1.9%, a difference of 31.0%), and single mother households (5.8% compared to 5.0%, a difference of 17.2%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.16, a difference of 1.2%), family households with children (27.4% compared to 27.8%, a difference of 1.5%), and currently married (49.6% compared to 47.8%, a difference of 3.8%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Singapore communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.9%, a difference of 28.4%), 3 or more vehicles in household (22.3% compared to 18.4%, a difference of 21.1%), and no vehicles in household (11.0% compared to 12.9%, a difference of 17.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 87.2%, a difference of 2.4%), 2 or more vehicles in household (58.5% compared to 53.9%, a difference of 8.6%), and no vehicles in household (11.0% compared to 12.9%, a difference of 17.7%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Singapore communities in the United States are seen in doctorate degree (1.4% compared to 3.7%, a difference of 166.7%), professional degree (3.0% compared to 7.7%, a difference of 160.5%), and master's degree (10.7% compared to 23.4%, a difference of 118.0%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.2%, a difference of 0.40%), kindergarten (98.6% compared to 98.2%, a difference of 0.41%), and 1st grade (98.6% compared to 98.2%, a difference of 0.41%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Singapore communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 81.8%), disability age 35 to 64 (12.8% compared to 8.9%, a difference of 44.1%), and hearing disability (3.7% compared to 2.6%, a difference of 41.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 45.6%, a difference of 3.4%), cognitive disability (16.6% compared to 17.5%, a difference of 5.6%), and self-care disability (2.5% compared to 2.1%, a difference of 15.7%).