Immigrants from Pakistan vs Soviet Union Community Comparison

The statistical analysis conducted on geographies consisting of 41,177,460 people shows a slight positive correlation between the proportion of Soviet Union within Immigrant from Pakistan communities in the United States with a correlation coefficient (R) of 0.064. On average, for every 1% (one percent) increase in Immigrants from Pakistan within a typical geography, there is an increase of 0.002% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Pakistan corresponds to an increase of 2.1 Soviet Union.

When considering income, the most significant differences between Immigrants from Pakistan and Soviet Union communities in the United States are seen in per capita income ($47,084 compared to $54,202, a difference of 15.1%), wage/income gap (27.0% compared to 24.2%, a difference of 11.6%), and median female earnings ($43,052 compared to $46,556, a difference of 8.1%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($114,434 compared to $112,008, a difference of 2.2%), householder income ages 25 - 44 years ($106,129 compared to $108,457, a difference of 2.2%), and median household income ($97,528 compared to $95,098, a difference of 2.6%).

When considering poverty, the most significant differences between Immigrants from Pakistan and Soviet Union communities in the United States are seen in seniors poverty over the age of 65 (10.2% compared to 12.6%, a difference of 23.3%), seniors poverty over the age of 75 (12.0% compared to 14.5%, a difference of 21.0%), and female poverty among 18-24 year olds (17.0% compared to 19.5%, a difference of 14.8%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.9% compared to 4.9%, a difference of 0.010%), child poverty among boys under 16 (14.3% compared to 14.5%, a difference of 1.3%), and child poverty under the age of 5 (14.9% compared to 14.7%, a difference of 1.7%).

When considering unemployment, the most significant differences between Immigrants from Pakistan and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (8.6% compared to 6.6%, a difference of 29.1%), unemployment among women with children ages 6 to 17 years (8.6% compared to 7.1%, a difference of 20.8%), and unemployment among ages 60 to 64 years (4.8% compared to 5.4%, a difference of 13.0%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.4% compared to 5.4%, a difference of 1.1%), unemployment among ages 16 to 19 years (17.0% compared to 16.8%, a difference of 1.1%), and female unemployment (5.2% compared to 5.4%, a difference of 3.0%).

When considering labor participation, the most significant differences between Immigrants from Pakistan and Soviet Union communities in the United States are seen in in labor force | age 16-19 (34.8% compared to 31.4%, a difference of 10.7%), in labor force | age > 16 (66.7% compared to 65.0%, a difference of 2.5%), and in labor force | age 20-24 (73.8% compared to 72.3%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.9% compared to 85.1%, a difference of 0.27%), in labor force | age 20-64 (80.5% compared to 80.2%, a difference of 0.29%), and in labor force | age 25-29 (84.7% compared to 85.3%, a difference of 0.68%).

When considering family structure, the most significant differences between Immigrants from Pakistan and Soviet Union communities in the United States are seen in family households with children (30.2% compared to 24.8%, a difference of 21.7%), single father households (2.1% compared to 1.8%, a difference of 17.8%), and single mother households (6.0% compared to 5.1%, a difference of 16.5%). Conversely, both communities are more comparable in terms of births to unmarried women (27.2% compared to 26.3%, a difference of 3.3%), divorced or separated (10.8% compared to 11.1%, a difference of 3.4%), and average family size (3.30 compared to 3.11, a difference of 5.9%).

When considering vehicle availability, the most significant differences between Immigrants from Pakistan and Soviet Union communities in the United States are seen in no vehicles in household (11.4% compared to 17.4%, a difference of 52.7%), 4 or more vehicles in household (6.4% compared to 4.4%, a difference of 44.9%), and 3 or more vehicles in household (19.8% compared to 14.2%, a difference of 39.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.6% compared to 82.7%, a difference of 7.2%), 2 or more vehicles in household (56.1% compared to 45.7%, a difference of 22.5%), and 3 or more vehicles in household (19.8% compared to 14.2%, a difference of 39.5%).

When considering education level, the most significant differences between Immigrants from Pakistan and Soviet Union communities in the United States are seen in professional degree (5.0% compared to 6.6%, a difference of 31.9%), doctorate degree (2.1% compared to 2.5%, a difference of 19.5%), and no schooling completed (2.3% compared to 2.0%, a difference of 15.8%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.0%, a difference of 0.36%), kindergarten (97.7% compared to 98.0%, a difference of 0.36%), and 1st grade (97.6% compared to 98.0%, a difference of 0.36%).

When considering disability, the most significant differences between Immigrants from Pakistan and Soviet Union communities in the United States are seen in disability age under 5 (1.1% compared to 0.95%, a difference of 18.9%), hearing disability (2.6% compared to 2.9%, a difference of 10.3%), and self-care disability (2.3% compared to 2.5%, a difference of 9.7%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.0% compared to 5.0%, a difference of 0.040%), disability age 18 to 34 (5.8% compared to 5.7%, a difference of 0.29%), and disability age over 75 (46.5% compared to 46.2%, a difference of 0.67%).