Immigrants from Peru vs Immigrants from Liberia Community Comparison

The statistical analysis conducted on geographies consisting of 116,321,601 people shows a slight negative correlation between the proportion of Immigrants from Liberia within Immigrant from Peru communities in the United States with a correlation coefficient (R) of -0.054. On average, for every 1% (one percent) increase in Immigrants from Peru within a typical geography, there is a decrease of 0.006% in Immigrants from Liberia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Peru corresponds to a decrease of 5.8 Immigrants from Liberia.

When considering income, the most significant differences between Immigrants from Peru and Immigrants from Liberia communities in the United States are seen in wage/income gap (25.1% compared to 20.6%, a difference of 22.2%), householder income ages 25 - 44 years ($97,329 compared to $80,863, a difference of 20.4%), and median household income ($89,010 compared to $74,896, a difference of 18.9%). Conversely, both communities are more comparable in terms of median female earnings ($39,871 compared to $37,970, a difference of 5.0%), median earnings ($47,025 compared to $42,923, a difference of 9.6%), and median male earnings ($54,695 compared to $48,317, a difference of 13.2%).

When considering poverty, the most significant differences between Immigrants from Peru and Immigrants from Liberia communities in the United States are seen in child poverty among girls under 16 (15.6% compared to 20.2%, a difference of 29.8%), child poverty under the age of 16 (15.5% compared to 19.7%, a difference of 27.4%), and child poverty under the age of 5 (16.1% compared to 20.2%, a difference of 25.5%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.4% compared to 5.5%, a difference of 1.7%), seniors poverty over the age of 65 (12.0% compared to 12.2%, a difference of 1.9%), and single father poverty (15.3% compared to 15.9%, a difference of 3.5%).

When considering unemployment, the most significant differences between Immigrants from Peru and Immigrants from Liberia communities in the United States are seen in unemployment among seniors over 75 years (8.9% compared to 10.9%, a difference of 22.7%), male unemployment (5.3% compared to 6.1%, a difference of 14.0%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 10.3%, a difference of 12.4%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.6% compared to 5.7%, a difference of 1.9%), female unemployment (5.5% compared to 5.6%, a difference of 2.0%), and unemployment among ages 16 to 19 years (17.7% compared to 18.1%, a difference of 2.4%).

When considering labor participation, the most significant differences between Immigrants from Peru and Immigrants from Liberia communities in the United States are seen in in labor force | age 16-19 (34.2% compared to 41.5%, a difference of 21.3%), in labor force | age 20-24 (74.5% compared to 77.1%, a difference of 3.5%), and in labor force | age > 16 (66.3% compared to 67.6%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.5%, a difference of 0.26%), in labor force | age 35-44 (84.9% compared to 85.4%, a difference of 0.56%), and in labor force | age 45-54 (83.5% compared to 82.7%, a difference of 0.95%).

When considering family structure, the most significant differences between Immigrants from Peru and Immigrants from Liberia communities in the United States are seen in single mother households (6.7% compared to 8.7%, a difference of 30.9%), births to unmarried women (31.8% compared to 37.6%, a difference of 18.3%), and married-couple households (47.3% compared to 40.3%, a difference of 17.3%). Conversely, both communities are more comparable in terms of average family size (3.31 compared to 3.27, a difference of 1.2%), family households with children (28.9% compared to 28.2%, a difference of 2.5%), and divorced or separated (12.0% compared to 12.6%, a difference of 5.0%).

When considering vehicle availability, the most significant differences between Immigrants from Peru and Immigrants from Liberia communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 5.4%, a difference of 19.3%), 3 or more vehicles in household (19.4% compared to 17.1%, a difference of 13.3%), and no vehicles in household (11.5% compared to 12.2%, a difference of 6.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.6% compared to 87.8%, a difference of 0.95%), 2 or more vehicles in household (54.4% compared to 51.3%, a difference of 5.9%), and no vehicles in household (11.5% compared to 12.2%, a difference of 6.4%).

When considering education level, the most significant differences between Immigrants from Peru and Immigrants from Liberia communities in the United States are seen in professional degree (4.4% compared to 3.4%, a difference of 28.3%), master's degree (14.9% compared to 12.5%, a difference of 19.3%), and doctorate degree (1.7% compared to 1.5%, a difference of 16.6%). Conversely, both communities are more comparable in terms of nursery school (97.5% compared to 97.5%, a difference of 0.030%), kindergarten (97.5% compared to 97.5%, a difference of 0.040%), and 1st grade (97.4% compared to 97.5%, a difference of 0.050%).

When considering disability, the most significant differences between Immigrants from Peru and Immigrants from Liberia communities in the United States are seen in disability age 35 to 64 (9.8% compared to 13.2%, a difference of 35.2%), disability age 18 to 34 (5.9% compared to 7.1%, a difference of 21.8%), and disability age 5 to 17 (5.3% compared to 6.1%, a difference of 15.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 48.1%, a difference of 2.5%), hearing disability (2.7% compared to 2.8%, a difference of 5.4%), and self-care disability (2.4% compared to 2.6%, a difference of 8.6%).