Immigrants from Moldova vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 105,722,007 people shows a poor positive correlation between the proportion of Immigrants from Oceania within Immigrant from Moldova communities in the United States with a correlation coefficient (R) of 0.129. On average, for every 1% (one percent) increase in Immigrants from Moldova within a typical geography, there is an increase of 0.046% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Moldova corresponds to an increase of 46.2 Immigrants from Oceania.

When considering income, the most significant differences between Immigrants from Moldova and Immigrants from Oceania communities in the United States are seen in median male earnings ($59,417 compared to $55,712, a difference of 6.7%), median earnings ($50,274 compared to $47,617, a difference of 5.6%), and per capita income ($47,489 compared to $45,220, a difference of 5.0%). Conversely, both communities are more comparable in terms of wage/income gap (26.2% compared to 25.6%, a difference of 2.2%), householder income over 65 years ($62,939 compared to $64,416, a difference of 2.4%), and median household income ($91,446 compared to $89,100, a difference of 2.6%).

When considering poverty, the most significant differences between Immigrants from Moldova and Immigrants from Oceania communities in the United States are seen in child poverty under the age of 5 (14.5% compared to 16.9%, a difference of 16.6%), child poverty among girls under 16 (13.9% compared to 16.1%, a difference of 15.8%), and child poverty under the age of 16 (13.8% compared to 15.9%, a difference of 15.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.4%, a difference of 0.57%), single father poverty (15.2% compared to 15.4%, a difference of 1.5%), and seniors poverty over the age of 75 (11.9% compared to 11.7%, a difference of 2.3%).

When considering unemployment, the most significant differences between Immigrants from Moldova and Immigrants from Oceania communities in the United States are seen in unemployment among women with children under 6 years (6.6% compared to 7.5%, a difference of 13.3%), unemployment among ages 35 to 44 years (4.4% compared to 4.8%, a difference of 9.1%), and unemployment among seniors over 75 years (8.3% compared to 9.0%, a difference of 7.6%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.1% compared to 5.2%, a difference of 0.30%), unemployment among ages 16 to 19 years (17.1% compared to 17.2%, a difference of 0.84%), and unemployment among seniors over 65 years (4.9% compared to 5.0%, a difference of 1.5%).

When considering labor participation, the most significant differences between Immigrants from Moldova and Immigrants from Oceania communities in the United States are seen in in labor force | age 45-54 (83.7% compared to 82.1%, a difference of 1.9%), in labor force | age 20-64 (80.6% compared to 79.3%, a difference of 1.6%), and in labor force | age 30-34 (85.3% compared to 84.0%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (37.7% compared to 37.9%, a difference of 0.56%), in labor force | age 20-24 (76.6% compared to 76.1%, a difference of 0.64%), and in labor force | age > 16 (66.1% compared to 65.5%, a difference of 1.0%).

When considering family structure, the most significant differences between Immigrants from Moldova and Immigrants from Oceania communities in the United States are seen in single father households (2.1% compared to 2.5%, a difference of 15.1%), births to unmarried women (27.3% compared to 30.6%, a difference of 12.1%), and single mother households (5.6% compared to 6.3%, a difference of 11.2%). Conversely, both communities are more comparable in terms of family households (64.4% compared to 64.9%, a difference of 0.72%), divorced or separated (12.1% compared to 11.9%, a difference of 1.1%), and family households with children (27.6% compared to 28.1%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Moldova and Immigrants from Oceania communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 7.6%, a difference of 28.0%), 3 or more vehicles in household (19.1% compared to 21.8%, a difference of 14.3%), and 2 or more vehicles in household (56.1% compared to 57.5%, a difference of 2.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 90.4%, a difference of 0.12%), no vehicles in household (9.8% compared to 9.7%, a difference of 0.75%), and 2 or more vehicles in household (56.1% compared to 57.5%, a difference of 2.5%).

When considering education level, the most significant differences between Immigrants from Moldova and Immigrants from Oceania communities in the United States are seen in master's degree (16.6% compared to 14.7%, a difference of 13.3%), no schooling completed (2.0% compared to 2.2%, a difference of 12.1%), and bachelor's degree (41.6% compared to 37.3%, a difference of 11.4%). Conversely, both communities are more comparable in terms of kindergarten (98.0% compared to 97.8%, a difference of 0.22%), nursery school (98.0% compared to 97.8%, a difference of 0.23%), and 1st grade (98.0% compared to 97.8%, a difference of 0.23%).

When considering disability, the most significant differences between Immigrants from Moldova and Immigrants from Oceania communities in the United States are seen in disability age 35 to 64 (10.6% compared to 11.4%, a difference of 7.5%), vision disability (2.0% compared to 2.2%, a difference of 6.2%), and disability age 65 to 74 (22.7% compared to 24.0%, a difference of 5.7%). Conversely, both communities are more comparable in terms of female disability (12.0% compared to 12.1%, a difference of 0.95%), disability age over 75 (47.4% compared to 48.0%, a difference of 1.2%), and disability age under 5 (1.1% compared to 1.2%, a difference of 1.5%).