Immigrants from Sudan vs Immigrants from Latvia Community Comparison

The statistical analysis conducted on geographies consisting of 64,057,084 people shows a near-perfect positive correlation between the proportion of Immigrants from Latvia within Immigrant from Sudan communities in the United States with a correlation coefficient (R) of 0.927. On average, for every 1% (one percent) increase in Immigrants from Sudan within a typical geography, there is an increase of 0.065% in Immigrants from Latvia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Sudan corresponds to an increase of 65.2 Immigrants from Latvia.

When considering income, the most significant differences between Immigrants from Sudan and Immigrants from Latvia communities in the United States are seen in householder income ages 25 - 44 years ($86,109 compared to $105,522, a difference of 22.5%), per capita income ($41,986 compared to $50,914, a difference of 21.3%), and median male earnings ($51,489 compared to $61,422, a difference of 19.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($59,248 compared to $64,298, a difference of 8.5%), householder income under 25 years ($46,791 compared to $51,737, a difference of 10.6%), and median female earnings ($38,511 compared to $43,099, a difference of 11.9%).

When considering poverty, the most significant differences between Immigrants from Sudan and Immigrants from Latvia communities in the United States are seen in family poverty (10.1% compared to 7.9%, a difference of 28.5%), child poverty among boys under 16 (18.8% compared to 14.6%, a difference of 28.3%), and child poverty under the age of 16 (18.5% compared to 14.5%, a difference of 28.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.1% compared to 12.0%, a difference of 0.68%), single father poverty (16.2% compared to 15.8%, a difference of 2.8%), and seniors poverty over the age of 65 (10.9% compared to 10.5%, a difference of 4.0%).

When considering unemployment, the most significant differences between Immigrants from Sudan and Immigrants from Latvia communities in the United States are seen in unemployment among seniors over 75 years (9.2% compared to 7.8%, a difference of 17.6%), unemployment among women with children under 6 years (8.0% compared to 6.8%, a difference of 17.3%), and unemployment among ages 25 to 29 years (5.8% compared to 6.6%, a difference of 13.9%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.5% compared to 4.4%, a difference of 0.92%), unemployment among ages 55 to 59 years (4.8% compared to 4.9%, a difference of 1.9%), and unemployment (5.0% compared to 5.1%, a difference of 2.0%).

When considering labor participation, the most significant differences between Immigrants from Sudan and Immigrants from Latvia communities in the United States are seen in in labor force | age 16-19 (41.0% compared to 36.8%, a difference of 11.4%), in labor force | age > 16 (67.7% compared to 65.1%, a difference of 4.0%), and in labor force | age 20-24 (76.8% compared to 75.0%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.9% compared to 85.0%, a difference of 0.17%), in labor force | age 20-64 (80.4% compared to 80.1%, a difference of 0.31%), and in labor force | age 25-29 (85.1% compared to 85.6%, a difference of 0.58%).

When considering family structure, the most significant differences between Immigrants from Sudan and Immigrants from Latvia communities in the United States are seen in single mother households (6.9% compared to 5.5%, a difference of 25.7%), single father households (2.4% compared to 1.9%, a difference of 22.9%), and births to unmarried women (33.2% compared to 29.1%, a difference of 14.1%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.13, a difference of 2.6%), family households (60.2% compared to 62.0%, a difference of 3.0%), and family households with children (27.3% compared to 25.9%, a difference of 5.4%).

When considering vehicle availability, the most significant differences between Immigrants from Sudan and Immigrants from Latvia communities in the United States are seen in no vehicles in household (10.4% compared to 12.1%, a difference of 16.2%), 1 or more vehicles in household (89.7% compared to 88.1%, a difference of 1.8%), and 2 or more vehicles in household (52.8% compared to 52.2%, a difference of 1.1%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.5% compared to 5.5%, a difference of 0.48%), 3 or more vehicles in household (17.6% compared to 17.4%, a difference of 0.93%), and 2 or more vehicles in household (52.8% compared to 52.2%, a difference of 1.1%).

When considering education level, the most significant differences between Immigrants from Sudan and Immigrants from Latvia communities in the United States are seen in no schooling completed (2.3% compared to 1.9%, a difference of 23.9%), professional degree (4.9% compared to 5.8%, a difference of 19.4%), and master's degree (16.0% compared to 19.1%, a difference of 19.2%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.2%, a difference of 0.49%), kindergarten (97.7% compared to 98.2%, a difference of 0.49%), and 1st grade (97.7% compared to 98.2%, a difference of 0.50%).

When considering disability, the most significant differences between Immigrants from Sudan and Immigrants from Latvia communities in the United States are seen in disability age 35 to 64 (11.7% compared to 10.1%, a difference of 15.9%), disability age 65 to 74 (23.8% compared to 21.6%, a difference of 10.2%), and hearing disability (2.9% compared to 3.1%, a difference of 9.6%). Conversely, both communities are more comparable in terms of male disability (11.0% compared to 10.9%, a difference of 0.41%), disability (11.5% compared to 11.4%, a difference of 0.62%), and female disability (11.9% compared to 11.8%, a difference of 0.89%).