Immigrants from South Central Asia vs Houma Community Comparison

The statistical analysis conducted on geographies consisting of 35,262,593 people shows a poor negative correlation between the proportion of Houma within Immigrant from South Central Asia communities in the United States with a correlation coefficient (R) of -0.120. On average, for every 1% (one percent) increase in Immigrants from South Central Asia within a typical geography, there is a decrease of 0.001% in Houma. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Central Asia corresponds to a decrease of 0.8 Houma.

When considering income, the most significant differences between Immigrants from South Central Asia and Houma communities in the United States are seen in householder income ages 45 - 64 years ($124,188 compared to $72,093, a difference of 72.3%), median household income ($106,057 compared to $62,575, a difference of 69.5%), and median family income ($125,956 compared to $76,188, a difference of 65.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,818 compared to $44,356, a difference of 30.3%), wage/income gap (29.3% compared to 38.7%, a difference of 31.8%), and median male earnings ($68,960 compared to $50,547, a difference of 36.4%).

When considering poverty, the most significant differences between Immigrants from South Central Asia and Houma communities in the United States are seen in single male poverty (10.9% compared to 23.5%, a difference of 114.7%), female poverty among 25-34 year olds (10.8% compared to 22.7%, a difference of 111.3%), and child poverty among boys under 16 (12.7% compared to 26.2%, a difference of 107.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.4% compared to 16.2%, a difference of 42.8%), married-couple family poverty (4.3% compared to 6.4%, a difference of 48.0%), and female poverty among 18-24 year olds (17.6% compared to 26.2%, a difference of 48.8%).

When considering unemployment, the most significant differences between Immigrants from South Central Asia and Houma communities in the United States are seen in unemployment among ages 35 to 44 years (4.1% compared to 7.8%, a difference of 91.0%), unemployment among women with children ages 6 to 17 years (7.9% compared to 12.5%, a difference of 56.8%), and male unemployment (4.8% compared to 7.1%, a difference of 49.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.7% compared to 4.9%, a difference of 3.2%), unemployment among seniors over 65 years (5.0% compared to 4.8%, a difference of 4.7%), and unemployment among ages 65 to 74 years (5.3% compared to 5.8%, a difference of 10.5%).

When considering labor participation, the most significant differences between Immigrants from South Central Asia and Houma communities in the United States are seen in in labor force | age 45-54 (84.0% compared to 74.1%, a difference of 13.4%), in labor force | age > 16 (67.1% compared to 59.5%, a difference of 12.7%), and in labor force | age 20-64 (80.7% compared to 72.7%, a difference of 11.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.0% compared to 73.7%, a difference of 0.41%), in labor force | age 16-19 (34.6% compared to 35.6%, a difference of 3.0%), and in labor force | age 25-29 (85.2% compared to 81.2%, a difference of 5.0%).

When considering family structure, the most significant differences between Immigrants from South Central Asia and Houma communities in the United States are seen in births to unmarried women (24.7% compared to 46.6%, a difference of 88.6%), single father households (2.0% compared to 2.9%, a difference of 48.6%), and single mother households (5.4% compared to 7.9%, a difference of 46.9%). Conversely, both communities are more comparable in terms of family households (66.4% compared to 65.7%, a difference of 1.1%), average family size (3.23 compared to 3.18, a difference of 1.5%), and family households with children (30.0% compared to 28.5%, a difference of 5.3%).

When considering vehicle availability, the most significant differences between Immigrants from South Central Asia and Houma communities in the United States are seen in no vehicles in household (8.6% compared to 11.5%, a difference of 33.8%), 4 or more vehicles in household (6.1% compared to 4.9%, a difference of 24.5%), and 3 or more vehicles in household (19.3% compared to 16.1%, a difference of 20.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.5% compared to 88.6%, a difference of 3.2%), 2 or more vehicles in household (56.6% compared to 54.4%, a difference of 4.0%), and 3 or more vehicles in household (19.3% compared to 16.1%, a difference of 20.4%).

When considering education level, the most significant differences between Immigrants from South Central Asia and Houma communities in the United States are seen in doctorate degree (2.6% compared to 0.96%, a difference of 174.3%), professional degree (5.9% compared to 2.2%, a difference of 166.2%), and master's degree (20.7% compared to 7.9%, a difference of 161.8%). Conversely, both communities are more comparable in terms of 3rd grade (97.8% compared to 97.1%, a difference of 0.71%), 2nd grade (97.9% compared to 97.2%, a difference of 0.75%), and kindergarten (98.0% compared to 97.3%, a difference of 0.76%).

When considering disability, the most significant differences between Immigrants from South Central Asia and Houma communities in the United States are seen in disability age 35 to 64 (8.9% compared to 18.7%, a difference of 111.0%), vision disability (1.8% compared to 3.4%, a difference of 92.8%), and disability age 5 to 17 (4.7% compared to 9.1%, a difference of 91.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.4% compared to 19.3%, a difference of 17.8%), disability age over 75 (46.0% compared to 56.2%, a difference of 22.1%), and self-care disability (2.2% compared to 3.0%, a difference of 36.2%).