Immigrants from Guyana vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 105,599,937 people shows a poor positive correlation between the proportion of Pennsylvania Germans within Immigrant from Guyana communities in the United States with a correlation coefficient (R) of 0.117. On average, for every 1% (one percent) increase in Immigrants from Guyana within a typical geography, there is an increase of 0.029% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Guyana corresponds to an increase of 28.6 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from Guyana and Pennsylvania German communities in the United States are seen in wage/income gap (18.4% compared to 30.7%, a difference of 67.3%), median female earnings ($40,773 compared to $34,802, a difference of 17.2%), and householder income under 25 years ($55,726 compared to $50,852, a difference of 9.6%). Conversely, both communities are more comparable in terms of median family income ($92,513 compared to $91,763, a difference of 0.82%), median male earnings ($50,321 compared to $50,878, a difference of 1.1%), and householder income ages 45 - 64 years ($90,186 compared to $91,956, a difference of 2.0%).

When considering poverty, the most significant differences between Immigrants from Guyana and Pennsylvania German communities in the United States are seen in receiving food stamps (16.9% compared to 11.4%, a difference of 48.0%), seniors poverty over the age of 65 (14.5% compared to 9.9%, a difference of 46.3%), and seniors poverty over the age of 75 (16.2% compared to 11.8%, a difference of 37.6%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (19.6% compared to 19.8%, a difference of 0.80%), female poverty among 18-24 year olds (19.3% compared to 19.7%, a difference of 1.7%), and female poverty among 25-34 year olds (14.3% compared to 15.4%, a difference of 8.0%).

When considering unemployment, the most significant differences between Immigrants from Guyana and Pennsylvania German communities in the United States are seen in unemployment among ages 16 to 19 years (25.5% compared to 16.2%, a difference of 57.2%), unemployment among youth under 25 years (15.9% compared to 10.6%, a difference of 50.0%), and unemployment (6.9% compared to 4.6%, a difference of 49.6%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.7% compared to 5.8%, a difference of 2.4%), unemployment among seniors over 65 years (5.6% compared to 5.4%, a difference of 4.1%), and unemployment among ages 60 to 64 years (5.4% compared to 4.8%, a difference of 13.3%).

When considering labor participation, the most significant differences between Immigrants from Guyana and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (27.3% compared to 46.4%, a difference of 70.3%), in labor force | age 20-24 (69.3% compared to 78.0%, a difference of 12.6%), and in labor force | age 30-34 (83.8% compared to 82.6%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.5% compared to 81.6%, a difference of 0.16%), in labor force | age 20-64 (78.1% compared to 78.4%, a difference of 0.46%), and in labor force | age 25-29 (83.0% compared to 83.6%, a difference of 0.79%).

When considering family structure, the most significant differences between Immigrants from Guyana and Pennsylvania German communities in the United States are seen in single mother households (7.6% compared to 5.8%, a difference of 30.1%), married-couple households (41.6% compared to 50.4%, a difference of 21.2%), and currently married (41.9% compared to 49.6%, a difference of 18.4%). Conversely, both communities are more comparable in terms of family households (65.5% compared to 66.1%, a difference of 0.93%), births to unmarried women (35.0% compared to 34.0%, a difference of 2.8%), and divorced or separated (11.6% compared to 12.1%, a difference of 3.8%).

When considering vehicle availability, the most significant differences between Immigrants from Guyana and Pennsylvania German communities in the United States are seen in no vehicles in household (29.5% compared to 11.0%, a difference of 168.1%), 4 or more vehicles in household (3.4% compared to 7.6%, a difference of 124.2%), and 3 or more vehicles in household (11.2% compared to 22.3%, a difference of 98.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (70.6% compared to 89.3%, a difference of 26.5%), 2 or more vehicles in household (35.0% compared to 58.5%, a difference of 67.1%), and 3 or more vehicles in household (11.2% compared to 22.3%, a difference of 98.8%).

When considering education level, the most significant differences between Immigrants from Guyana and Pennsylvania German communities in the United States are seen in no schooling completed (3.1% compared to 1.5%, a difference of 110.4%), master's degree (13.4% compared to 10.7%, a difference of 25.2%), and professional degree (3.7% compared to 3.0%, a difference of 23.3%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (88.1% compared to 88.7%, a difference of 0.67%), 11th grade (89.7% compared to 90.3%, a difference of 0.71%), and 10th grade (91.2% compared to 91.9%, a difference of 0.73%).

When considering disability, the most significant differences between Immigrants from Guyana and Pennsylvania German communities in the United States are seen in disability age under 5 (1.0% compared to 1.9%, a difference of 86.6%), hearing disability (2.3% compared to 3.7%, a difference of 61.2%), and disability age 18 to 34 (5.5% compared to 7.8%, a difference of 42.5%). Conversely, both communities are more comparable in terms of disability age over 75 (47.1% compared to 47.2%, a difference of 0.16%), vision disability (2.2% compared to 2.2%, a difference of 0.17%), and ambulatory disability (6.7% compared to 6.8%, a difference of 0.59%).