Immigrants from Peru vs Immigrants from Malaysia Community Comparison

The statistical analysis conducted on geographies consisting of 168,769,806 people shows a slight positive correlation between the proportion of Immigrants from Malaysia within Immigrant from Peru communities in the United States with a correlation coefficient (R) of 0.087. On average, for every 1% (one percent) increase in Immigrants from Peru within a typical geography, there is an increase of 0.004% in Immigrants from Malaysia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Peru corresponds to an increase of 3.6 Immigrants from Malaysia.

When considering income, the most significant differences between Immigrants from Peru and Immigrants from Malaysia communities in the United States are seen in per capita income ($43,852 compared to $49,983, a difference of 14.0%), median male earnings ($54,695 compared to $62,121, a difference of 13.6%), and median family income ($103,534 compared to $115,880, a difference of 11.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,384 compared to $54,179, a difference of 4.1%), wage/income gap (25.1% compared to 26.3%, a difference of 4.7%), and householder income over 65 years ($61,988 compared to $65,497, a difference of 5.7%).

When considering poverty, the most significant differences between Immigrants from Peru and Immigrants from Malaysia communities in the United States are seen in female poverty among 18-24 year olds (16.9% compared to 20.5%, a difference of 21.4%), receiving food stamps (12.0% compared to 10.4%, a difference of 16.1%), and seniors poverty over the age of 75 (13.7% compared to 12.3%, a difference of 10.7%). Conversely, both communities are more comparable in terms of female poverty (13.0% compared to 13.0%, a difference of 0.19%), single female poverty (19.3% compared to 19.4%, a difference of 0.38%), and single mother poverty (27.5% compared to 27.3%, a difference of 0.78%).

When considering unemployment, the most significant differences between Immigrants from Peru and Immigrants from Malaysia communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.4%, a difference of 17.5%), unemployment among women with children under 18 years (5.7% compared to 5.0%, a difference of 13.4%), and unemployment among seniors over 75 years (8.9% compared to 7.9%, a difference of 13.0%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.7% compared to 17.2%, a difference of 2.5%), unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 2.5%), and male unemployment (5.3% compared to 5.2%, a difference of 2.7%).

When considering labor participation, the most significant differences between Immigrants from Peru and Immigrants from Malaysia communities in the United States are seen in in labor force | age 20-24 (74.5% compared to 73.3%, a difference of 1.5%), in labor force | age 30-34 (84.7% compared to 85.1%, a difference of 0.47%), and in labor force | age 45-54 (83.5% compared to 83.2%, a difference of 0.41%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.3% compared to 66.1%, a difference of 0.25%), in labor force | age 35-44 (84.9% compared to 84.6%, a difference of 0.30%), and in labor force | age 20-64 (80.3% compared to 80.1%, a difference of 0.33%).

When considering family structure, the most significant differences between Immigrants from Peru and Immigrants from Malaysia communities in the United States are seen in single mother households (6.7% compared to 5.7%, a difference of 17.6%), single father households (2.4% compared to 2.0%, a difference of 17.3%), and births to unmarried women (31.8% compared to 27.4%, a difference of 16.3%). Conversely, both communities are more comparable in terms of married-couple households (47.3% compared to 47.2%, a difference of 0.21%), currently married (46.4% compared to 47.3%, a difference of 1.9%), and average family size (3.31 compared to 3.22, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Immigrants from Peru and Immigrants from Malaysia communities in the United States are seen in no vehicles in household (11.5% compared to 13.6%, a difference of 18.3%), 4 or more vehicles in household (6.4% compared to 5.9%, a difference of 8.2%), and 3 or more vehicles in household (19.4% compared to 18.3%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.6% compared to 86.5%, a difference of 2.5%), 2 or more vehicles in household (54.4% compared to 52.7%, a difference of 3.2%), and 3 or more vehicles in household (19.4% compared to 18.3%, a difference of 5.9%).

When considering education level, the most significant differences between Immigrants from Peru and Immigrants from Malaysia communities in the United States are seen in doctorate degree (1.7% compared to 2.6%, a difference of 47.8%), professional degree (4.4% compared to 5.7%, a difference of 29.8%), and master's degree (14.9% compared to 18.9%, a difference of 26.8%). Conversely, both communities are more comparable in terms of nursery school (97.5% compared to 97.7%, a difference of 0.19%), 1st grade (97.4% compared to 97.6%, a difference of 0.19%), and kindergarten (97.5% compared to 97.7%, a difference of 0.20%).

When considering disability, the most significant differences between Immigrants from Peru and Immigrants from Malaysia communities in the United States are seen in disability age under 5 (1.2% compared to 1.1%, a difference of 13.7%), vision disability (2.1% compared to 1.9%, a difference of 8.6%), and disability age 5 to 17 (5.3% compared to 5.0%, a difference of 6.3%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (9.8% compared to 9.7%, a difference of 0.47%), disability age over 75 (46.9% compared to 46.4%, a difference of 1.1%), and disability age 18 to 34 (5.9% compared to 5.9%, a difference of 1.1%).