Black/African American vs Immigrants from Peru Community Comparison

The statistical analysis conducted on geographies consisting of 326,780,442 people shows a mild negative correlation between the proportion of Immigrants from Peru within Black/African American communities in the United States with a correlation coefficient (R) of -0.376. On average, for every 1% (one percent) increase in Blacks/African Americans within a typical geography, there is a decrease of 0.002% in Immigrants from Peru. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Blacks/African Americans corresponds to a decrease of 1.9 Immigrants from Peru.

When considering income, the most significant differences between Black/African American and Immigrants from Peru communities in the United States are seen in householder income ages 25 - 44 years ($73,370 compared to $97,329, a difference of 32.7%), median household income ($67,573 compared to $89,010, a difference of 31.7%), and householder income ages 45 - 64 years ($78,556 compared to $103,173, a difference of 31.3%). Conversely, both communities are more comparable in terms of median female earnings ($35,315 compared to $39,871, a difference of 12.9%), wage/income gap (21.7% compared to 25.1%, a difference of 15.6%), and median earnings ($40,085 compared to $47,025, a difference of 17.3%).

When considering poverty, the most significant differences between Black/African American and Immigrants from Peru communities in the United States are seen in child poverty under the age of 5 (25.7% compared to 16.1%, a difference of 59.5%), child poverty among girls under 16 (24.7% compared to 15.6%, a difference of 58.2%), and child poverty under the age of 16 (24.4% compared to 15.5%, a difference of 57.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (14.6% compared to 13.7%, a difference of 7.2%), seniors poverty over the age of 65 (13.7% compared to 12.0%, a difference of 14.4%), and married-couple family poverty (6.5% compared to 5.4%, a difference of 19.7%).

When considering unemployment, the most significant differences between Black/African American and Immigrants from Peru communities in the United States are seen in unemployment among women with children under 6 years (10.3% compared to 7.5%, a difference of 36.9%), unemployment among ages 25 to 29 years (8.6% compared to 6.5%, a difference of 31.6%), and unemployment among ages 30 to 34 years (7.2% compared to 5.5%, a difference of 31.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.5% compared to 5.4%, a difference of 3.1%), unemployment among ages 65 to 74 years (5.8% compared to 5.6%, a difference of 3.8%), and unemployment among ages 60 to 64 years (5.3% compared to 5.1%, a difference of 4.9%).

When considering labor participation, the most significant differences between Black/African American and Immigrants from Peru communities in the United States are seen in in labor force | age 16-19 (36.5% compared to 34.2%, a difference of 6.8%), in labor force | age 45-54 (79.3% compared to 83.5%, a difference of 5.3%), and in labor force | age 20-64 (76.8% compared to 80.3%, a difference of 4.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.9% compared to 74.5%, a difference of 0.83%), in labor force | age 30-34 (82.8% compared to 84.7%, a difference of 2.3%), and in labor force | age 25-29 (82.6% compared to 84.7%, a difference of 2.6%).

When considering family structure, the most significant differences between Black/African American and Immigrants from Peru communities in the United States are seen in births to unmarried women (44.3% compared to 31.8%, a difference of 39.2%), single mother households (9.0% compared to 6.7%, a difference of 35.1%), and married-couple households (38.5% compared to 47.3%, a difference of 22.9%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.31, a difference of 1.1%), single father households (2.4% compared to 2.4%, a difference of 1.4%), and family households with children (26.5% compared to 28.9%, a difference of 9.3%).

When considering vehicle availability, the most significant differences between Black/African American and Immigrants from Peru communities in the United States are seen in 4 or more vehicles in household (5.5% compared to 6.4%, a difference of 16.3%), 3 or more vehicles in household (17.3% compared to 19.4%, a difference of 11.7%), and 2 or more vehicles in household (50.9% compared to 54.4%, a difference of 6.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.2% compared to 88.6%, a difference of 0.50%), no vehicles in household (11.9% compared to 11.5%, a difference of 3.2%), and 2 or more vehicles in household (50.9% compared to 54.4%, a difference of 6.9%).

When considering education level, the most significant differences between Black/African American and Immigrants from Peru communities in the United States are seen in professional degree (3.4% compared to 4.4%, a difference of 29.4%), master's degree (12.1% compared to 14.9%, a difference of 23.6%), and bachelor's degree (30.9% compared to 37.5%, a difference of 21.2%). Conversely, both communities are more comparable in terms of high school diploma (87.0% compared to 87.3%, a difference of 0.25%), nursery school (97.9% compared to 97.5%, a difference of 0.42%), and 11th grade (91.4% compared to 91.0%, a difference of 0.42%).

When considering disability, the most significant differences between Black/African American and Immigrants from Peru communities in the United States are seen in disability age 35 to 64 (14.7% compared to 9.8%, a difference of 50.2%), vision disability (2.8% compared to 2.1%, a difference of 33.1%), and ambulatory disability (7.5% compared to 5.7%, a difference of 31.8%). Conversely, both communities are more comparable in terms of disability age over 75 (49.5% compared to 46.9%, a difference of 5.5%), hearing disability (3.0% compared to 2.7%, a difference of 12.7%), and cognitive disability (19.0% compared to 16.6%, a difference of 14.8%).