Immigrants from Sri Lanka vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 146,782,181 people shows a poor positive correlation between the proportion of Burmese within Immigrant from Sri Lanka communities in the United States with a correlation coefficient (R) of 0.161. On average, for every 1% (one percent) increase in Immigrants from Sri Lanka within a typical geography, there is an increase of 0.266% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Sri Lanka corresponds to an increase of 266.4 Burmese.

When considering income, the most significant differences between Immigrants from Sri Lanka and Burmese communities in the United States are seen in householder income ages 25 - 44 years ($109,741 compared to $113,701, a difference of 3.6%), median male earnings ($63,099 compared to $65,236, a difference of 3.4%), and median household income ($99,943 compared to $103,145, a difference of 3.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,512 compared to $54,800, a difference of 0.53%), median female earnings ($44,161 compared to $44,911, a difference of 1.7%), and householder income ages 45 - 64 years ($119,094 compared to $121,444, a difference of 2.0%).

When considering poverty, the most significant differences between Immigrants from Sri Lanka and Burmese communities in the United States are seen in receiving food stamps (9.5% compared to 8.6%, a difference of 10.1%), child poverty under the age of 5 (14.4% compared to 13.2%, a difference of 9.2%), and child poverty among girls under 16 (14.0% compared to 13.0%, a difference of 7.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.1% compared to 10.1%, a difference of 0.16%), single mother poverty (26.3% compared to 26.2%, a difference of 0.35%), and single male poverty (11.8% compared to 11.7%, a difference of 0.87%).

When considering unemployment, the most significant differences between Immigrants from Sri Lanka and Burmese communities in the United States are seen in unemployment among ages 55 to 59 years (4.8% compared to 4.5%, a difference of 6.3%), unemployment among women with children under 6 years (6.9% compared to 6.5%, a difference of 6.1%), and unemployment among women with children ages 6 to 17 years (8.4% compared to 8.0%, a difference of 5.4%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.2% compared to 8.2%, a difference of 0.14%), unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.40%), and unemployment among ages 16 to 19 years (17.1% compared to 17.0%, a difference of 0.61%).

When considering labor participation, the most significant differences between Immigrants from Sri Lanka and Burmese communities in the United States are seen in in labor force | age 16-19 (34.9% compared to 34.5%, a difference of 1.1%), in labor force | age 20-24 (74.0% compared to 73.6%, a difference of 0.60%), and in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.49%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.4% compared to 80.3%, a difference of 0.10%), in labor force | age 35-44 (85.0% compared to 84.7%, a difference of 0.33%), and in labor force | age 45-54 (83.9% compared to 83.6%, a difference of 0.36%).

When considering family structure, the most significant differences between Immigrants from Sri Lanka and Burmese communities in the United States are seen in single mother households (5.6% compared to 5.3%, a difference of 6.7%), births to unmarried women (27.2% compared to 26.4%, a difference of 3.0%), and married-couple households (48.7% compared to 49.8%, a difference of 2.3%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.22, a difference of 0.18%), family households with children (28.4% compared to 28.5%, a difference of 0.20%), and divorced or separated (10.8% compared to 10.7%, a difference of 0.81%).

When considering vehicle availability, the most significant differences between Immigrants from Sri Lanka and Burmese communities in the United States are seen in no vehicles in household (11.2% compared to 9.7%, a difference of 15.3%), 4 or more vehicles in household (6.1% compared to 6.8%, a difference of 11.2%), and 3 or more vehicles in household (19.2% compared to 20.6%, a difference of 7.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.9% compared to 90.4%, a difference of 1.7%), 2 or more vehicles in household (55.5% compared to 57.8%, a difference of 4.1%), and 3 or more vehicles in household (19.2% compared to 20.6%, a difference of 7.5%).

When considering education level, the most significant differences between Immigrants from Sri Lanka and Burmese communities in the United States are seen in doctorate degree (2.8% compared to 2.6%, a difference of 6.0%), no schooling completed (2.0% compared to 1.9%, a difference of 4.7%), and college, 1 year or more (65.4% compared to 66.7%, a difference of 2.0%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.1%, a difference of 0.11%), 1st grade (97.9% compared to 98.0%, a difference of 0.11%), and kindergarten (97.9% compared to 98.1%, a difference of 0.12%).

When considering disability, the most significant differences between Immigrants from Sri Lanka and Burmese communities in the United States are seen in disability age 5 to 17 (5.0% compared to 4.8%, a difference of 5.0%), hearing disability (2.7% compared to 2.8%, a difference of 3.4%), and disability age 35 to 64 (9.5% compared to 9.2%, a difference of 2.7%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.1%, a difference of 0.080%), male disability (10.0% compared to 10.0%, a difference of 0.16%), and disability age over 75 (46.1% compared to 45.9%, a difference of 0.35%).