Pakistani vs Immigrants from Burma/Myanmar Community Comparison

The statistical analysis conducted on geographies consisting of 150,239,760 people shows a moderate positive correlation between the proportion of Immigrants from Burma/Myanmar within Pakistani communities in the United States with a correlation coefficient (R) of 0.446. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 0.181% in Immigrants from Burma/Myanmar. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pakistanis corresponds to an increase of 181.1 Immigrants from Burma/Myanmar.

When considering income, the most significant differences between Pakistani and Immigrants from Burma/Myanmar communities in the United States are seen in householder income ages 45 - 64 years ($105,317 compared to $91,385, a difference of 15.2%), per capita income ($45,587 compared to $39,827, a difference of 14.5%), and wage/income gap (26.1% compared to 22.8%, a difference of 14.1%). Conversely, both communities are more comparable in terms of median female earnings ($40,596 compared to $38,028, a difference of 6.8%), householder income under 25 years ($53,325 compared to $48,749, a difference of 9.4%), and median earnings ($48,254 compared to $43,998, a difference of 9.7%).

When considering poverty, the most significant differences between Pakistani and Immigrants from Burma/Myanmar communities in the United States are seen in child poverty under the age of 16 (15.0% compared to 19.4%, a difference of 28.8%), child poverty among girls under 16 (15.3% compared to 19.7%, a difference of 28.5%), and child poverty under the age of 5 (16.0% compared to 20.4%, a difference of 27.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 12.1%, a difference of 2.4%), single father poverty (15.7% compared to 16.5%, a difference of 4.6%), and single male poverty (12.4% compared to 13.1%, a difference of 6.0%).

When considering unemployment, the most significant differences between Pakistani and Immigrants from Burma/Myanmar communities in the United States are seen in unemployment among seniors over 75 years (8.9% compared to 7.7%, a difference of 14.9%), unemployment among women with children ages 6 to 17 years (8.4% compared to 7.5%, a difference of 11.9%), and unemployment among ages 16 to 19 years (17.2% compared to 15.6%, a difference of 10.3%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.3% compared to 7.3%, a difference of 0.070%), unemployment (5.1% compared to 5.1%, a difference of 0.12%), and male unemployment (5.2% compared to 5.2%, a difference of 0.27%).

When considering labor participation, the most significant differences between Pakistani and Immigrants from Burma/Myanmar communities in the United States are seen in in labor force | age 16-19 (37.6% compared to 39.0%, a difference of 4.0%), in labor force | age 45-54 (82.8% compared to 82.0%, a difference of 0.90%), and in labor force | age > 16 (65.8% compared to 66.3%, a difference of 0.82%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.7% compared to 84.7%, a difference of 0.060%), in labor force | age 25-29 (84.8% compared to 84.7%, a difference of 0.10%), and in labor force | age 20-64 (79.8% compared to 79.7%, a difference of 0.15%).

When considering family structure, the most significant differences between Pakistani and Immigrants from Burma/Myanmar communities in the United States are seen in single mother households (6.1% compared to 7.0%, a difference of 15.9%), married-couple households (47.3% compared to 43.4%, a difference of 9.1%), and births to unmarried women (30.5% compared to 32.9%, a difference of 7.9%). Conversely, both communities are more comparable in terms of family households with children (27.9% compared to 28.0%, a difference of 0.30%), divorced or separated (11.9% compared to 12.1%, a difference of 2.0%), and average family size (3.22 compared to 3.29, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Pakistani and Immigrants from Burma/Myanmar communities in the United States are seen in no vehicles in household (9.0% compared to 10.4%, a difference of 16.0%), 4 or more vehicles in household (7.0% compared to 6.2%, a difference of 12.4%), and 3 or more vehicles in household (21.0% compared to 18.8%, a difference of 11.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.3% compared to 89.7%, a difference of 1.8%), 2 or more vehicles in household (57.9% compared to 53.9%, a difference of 7.3%), and 3 or more vehicles in household (21.0% compared to 18.8%, a difference of 11.8%).

When considering education level, the most significant differences between Pakistani and Immigrants from Burma/Myanmar communities in the United States are seen in no schooling completed (2.1% compared to 3.1%, a difference of 49.3%), professional degree (4.8% compared to 3.9%, a difference of 20.9%), and doctorate degree (2.0% compared to 1.7%, a difference of 19.6%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 96.9%, a difference of 1.1%), kindergarten (97.9% compared to 96.8%, a difference of 1.1%), and 1st grade (97.9% compared to 96.8%, a difference of 1.1%).

When considering disability, the most significant differences between Pakistani and Immigrants from Burma/Myanmar communities in the United States are seen in disability age under 5 (1.3% compared to 1.1%, a difference of 13.5%), disability age 35 to 64 (11.1% compared to 12.3%, a difference of 10.3%), and hearing disability (3.1% compared to 2.9%, a difference of 6.9%). Conversely, both communities are more comparable in terms of disability age over 75 (47.7% compared to 47.9%, a difference of 0.47%), self-care disability (2.4% compared to 2.5%, a difference of 0.97%), and male disability (11.3% compared to 11.2%, a difference of 1.2%).