Pakistani vs Lithuanian Community Comparison

The statistical analysis conducted on geographies consisting of 289,934,310 people shows a significant positive correlation between the proportion of Lithuanians within Pakistani communities in the United States with a correlation coefficient (R) of 0.654. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 0.186% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pakistanis corresponds to an increase of 185.9 Lithuanians.

When considering income, the most significant differences between Pakistani and Lithuanian communities in the United States are seen in wage/income gap (26.1% compared to 28.7%, a difference of 10.3%), per capita income ($45,587 compared to $49,448, a difference of 8.5%), and median male earnings ($56,719 compared to $61,228, a difference of 8.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,325 compared to $53,552, a difference of 0.43%), householder income over 65 years ($63,844 compared to $65,209, a difference of 2.1%), and median female earnings ($40,596 compared to $42,108, a difference of 3.7%).

When considering poverty, the most significant differences between Pakistani and Lithuanian communities in the United States are seen in married-couple family poverty (4.7% compared to 4.0%, a difference of 19.5%), family poverty (8.3% compared to 7.2%, a difference of 16.0%), and seniors poverty over the age of 65 (10.3% compared to 9.1%, a difference of 14.0%). Conversely, both communities are more comparable in terms of single mother poverty (28.0% compared to 27.4%, a difference of 2.1%), single male poverty (12.4% compared to 13.0%, a difference of 5.1%), and single female poverty (20.2% compared to 19.2%, a difference of 5.2%).

When considering unemployment, the most significant differences between Pakistani and Lithuanian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.4% compared to 9.4%, a difference of 12.2%), unemployment among seniors over 75 years (8.9% compared to 9.9%, a difference of 11.4%), and female unemployment (5.1% compared to 4.7%, a difference of 8.1%). 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 0.090%), unemployment among youth under 25 years (11.3% compared to 11.3%, a difference of 0.16%), and unemployment among ages 30 to 34 years (5.4% compared to 5.4%, a difference of 0.20%).

When considering labor participation, the most significant differences between Pakistani and Lithuanian communities in the United States are seen in in labor force | age 16-19 (37.6% compared to 40.4%, a difference of 7.7%), in labor force | age 20-24 (75.8% compared to 77.0%, a difference of 1.5%), and in labor force | age > 16 (65.8% compared to 64.8%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.8% compared to 80.2%, a difference of 0.59%), in labor force | age 30-34 (84.7% compared to 85.6%, a difference of 0.99%), and in labor force | age 45-54 (82.8% compared to 83.6%, a difference of 0.99%).

When considering family structure, the most significant differences between Pakistani and Lithuanian communities in the United States are seen in single mother households (6.1% compared to 5.4%, a difference of 11.9%), single father households (2.3% compared to 2.1%, a difference of 9.0%), and family households with children (27.9% compared to 26.6%, a difference of 5.1%). Conversely, both communities are more comparable in terms of family households (64.7% compared to 64.0%, a difference of 0.95%), divorced or separated (11.9% compared to 11.7%, a difference of 1.5%), and births to unmarried women (30.5% compared to 29.6%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between Pakistani and Lithuanian communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 6.3%, a difference of 10.9%), no vehicles in household (9.0% compared to 8.4%, a difference of 6.4%), and 3 or more vehicles in household (21.0% compared to 20.1%, a difference of 4.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.3% compared to 91.7%, a difference of 0.45%), 2 or more vehicles in household (57.9% compared to 58.2%, a difference of 0.61%), and 3 or more vehicles in household (21.0% compared to 20.1%, a difference of 4.5%).

When considering education level, the most significant differences between Pakistani and Lithuanian communities in the United States are seen in no schooling completed (2.1% compared to 1.4%, a difference of 46.6%), professional degree (4.8% compared to 5.4%, a difference of 12.7%), and master's degree (15.8% compared to 17.7%, a difference of 12.3%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.6%, a difference of 0.71%), kindergarten (97.9% compared to 98.6%, a difference of 0.71%), and 1st grade (97.9% compared to 98.6%, a difference of 0.72%).

When considering disability, the most significant differences between Pakistani and Lithuanian communities in the United States are seen in disability age under 5 (1.3% compared to 1.6%, a difference of 22.0%), disability age 65 to 74 (23.2% compared to 21.4%, a difference of 8.7%), and hearing disability (3.1% compared to 3.4%, a difference of 6.7%). Conversely, both communities are more comparable in terms of ambulatory disability (6.0% compared to 6.0%, a difference of 0.060%), female disability (12.0% compared to 12.2%, a difference of 1.3%), and disability (11.7% compared to 11.9%, a difference of 1.8%).