Lithuanian vs Immigrants from Malaysia Community Comparison

The statistical analysis conducted on geographies consisting of 182,699,009 people shows a strong positive correlation between the proportion of Immigrants from Malaysia within Lithuanian communities in the United States with a correlation coefficient (R) of 0.725. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.067% in Immigrants from Malaysia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 66.8 Immigrants from Malaysia.

When considering income, the most significant differences between Lithuanian and Immigrants from Malaysia communities in the United States are seen in wage/income gap (28.7% compared to 26.3%, a difference of 9.3%), median female earnings ($42,108 compared to $43,835, a difference of 4.1%), and median earnings ($50,991 compared to $52,514, a difference of 3.0%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($112,484 compared to $112,796, a difference of 0.28%), median family income ($115,395 compared to $115,880, a difference of 0.42%), and householder income over 65 years ($65,209 compared to $65,497, a difference of 0.44%).

When considering poverty, the most significant differences between Lithuanian and Immigrants from Malaysia communities in the United States are seen in married-couple family poverty (4.0% compared to 5.1%, a difference of 29.9%), seniors poverty over the age of 65 (9.1% compared to 11.0%, a difference of 20.8%), and family poverty (7.2% compared to 8.5%, a difference of 17.8%). Conversely, both communities are more comparable in terms of single mother poverty (27.4% compared to 27.3%, a difference of 0.41%), single female poverty (19.2% compared to 19.4%, a difference of 1.1%), and female poverty among 25-34 year olds (12.2% compared to 12.4%, a difference of 1.4%).

When considering unemployment, the most significant differences between Lithuanian and Immigrants from Malaysia communities in the United States are seen in unemployment among seniors over 75 years (9.9% compared to 7.9%, a difference of 25.8%), unemployment among women with children under 6 years (7.8% compared to 6.4%, a difference of 21.3%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 8.2%, a difference of 15.3%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.10%), unemployment among youth under 25 years (11.3% compared to 11.3%, a difference of 0.24%), and unemployment among women with children under 18 years (5.0% compared to 5.0%, a difference of 0.59%).

When considering labor participation, the most significant differences between Lithuanian and Immigrants from Malaysia communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 34.3%, a difference of 17.9%), in labor force | age 20-24 (77.0% compared to 73.3%, a difference of 4.9%), and in labor force | age > 16 (64.8% compared to 66.1%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.2% compared to 80.1%, a difference of 0.23%), in labor force | age 45-54 (83.6% compared to 83.2%, a difference of 0.50%), and in labor force | age 30-34 (85.6% compared to 85.1%, a difference of 0.58%).

When considering family structure, the most significant differences between Lithuanian and Immigrants from Malaysia communities in the United States are seen in births to unmarried women (29.6% compared to 27.4%, a difference of 8.0%), divorced or separated (11.7% compared to 11.0%, a difference of 7.0%), and family households with children (26.6% compared to 27.9%, a difference of 5.1%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 64.0%, a difference of 0.12%), single father households (2.1% compared to 2.0%, a difference of 3.2%), and married-couple households (48.9% compared to 47.2%, a difference of 3.5%).

When considering vehicle availability, the most significant differences between Lithuanian and Immigrants from Malaysia communities in the United States are seen in no vehicles in household (8.4% compared to 13.6%, a difference of 61.1%), 2 or more vehicles in household (58.2% compared to 52.7%, a difference of 10.6%), and 3 or more vehicles in household (20.1% compared to 18.3%, a difference of 10.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 86.5%, a difference of 6.0%), 4 or more vehicles in household (6.3% compared to 5.9%, a difference of 7.2%), and 3 or more vehicles in household (20.1% compared to 18.3%, a difference of 10.0%).

When considering education level, the most significant differences between Lithuanian and Immigrants from Malaysia communities in the United States are seen in no schooling completed (1.4% compared to 2.3%, a difference of 62.8%), doctorate degree (2.3% compared to 2.6%, a difference of 13.5%), and master's degree (17.7% compared to 18.9%, a difference of 6.6%). Conversely, both communities are more comparable in terms of college, under 1 year (68.8% compared to 69.3%, a difference of 0.83%), nursery school (98.6% compared to 97.7%, a difference of 0.96%), and kindergarten (98.6% compared to 97.7%, a difference of 0.96%).

When considering disability, the most significant differences between Lithuanian and Immigrants from Malaysia communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 42.3%), hearing disability (3.4% compared to 2.7%, a difference of 22.4%), and disability age 18 to 34 (7.0% compared to 5.9%, a difference of 17.4%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (21.4% compared to 21.4%, a difference of 0.030%), self-care disability (2.4% compared to 2.3%, a difference of 2.6%), and disability age over 75 (45.1% compared to 46.4%, a difference of 3.0%).