Immigrants from Thailand vs Tlingit-Haida Community Comparison

The statistical analysis conducted on geographies consisting of 53,154,137 people shows a poor positive correlation between the proportion of Tlingit-Haida within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of 0.120. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is an increase of 0.029% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to an increase of 28.7 Tlingit-Haida.

When considering income, the most significant differences between Immigrants from Thailand and Tlingit-Haida communities in the United States are seen in householder income under 25 years ($50,645 compared to $55,914, a difference of 10.4%), householder income over 65 years ($60,217 compared to $62,922, a difference of 4.5%), and per capita income ($42,289 compared to $43,516, a difference of 2.9%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($97,400 compared to $97,417, a difference of 0.020%), median earnings ($45,598 compared to $45,468, a difference of 0.29%), and median household income ($83,327 compared to $83,968, a difference of 0.77%).

When considering poverty, the most significant differences between Immigrants from Thailand and Tlingit-Haida communities in the United States are seen in seniors poverty over the age of 65 (11.0% compared to 8.3%, a difference of 31.8%), married-couple family poverty (5.5% compared to 4.4%, a difference of 25.5%), and seniors poverty over the age of 75 (12.2% compared to 9.7%, a difference of 25.4%). Conversely, both communities are more comparable in terms of single female poverty (22.0% compared to 21.9%, a difference of 0.12%), single father poverty (15.8% compared to 15.3%, a difference of 3.0%), and single mother poverty (29.9% compared to 30.9%, a difference of 3.5%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Tlingit-Haida communities in the United States are seen in unemployment among seniors over 75 years (8.8% compared to 20.7%, a difference of 135.8%), unemployment among ages 16 to 19 years (17.0% compared to 23.5%, a difference of 38.7%), and unemployment among seniors over 65 years (5.0% compared to 6.8%, a difference of 35.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.4%, a difference of 0.49%), unemployment among ages 45 to 54 years (4.6% compared to 4.7%, a difference of 3.6%), and unemployment (5.3% compared to 5.6%, a difference of 5.2%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Tlingit-Haida communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 40.5%, a difference of 4.5%), in labor force | age 30-34 (84.5% compared to 82.3%, a difference of 2.6%), and in labor force | age 45-54 (81.9% compared to 83.9%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.4%, a difference of 0.23%), in labor force | age > 16 (65.7% compared to 65.5%, a difference of 0.37%), and in labor force | age 20-64 (79.4% compared to 79.0%, a difference of 0.47%).

When considering family structure, the most significant differences between Immigrants from Thailand and Tlingit-Haida communities in the United States are seen in single mother households (6.9% compared to 5.7%, a difference of 19.4%), divorced or separated (12.1% compared to 13.2%, a difference of 8.7%), and family households with children (28.2% compared to 26.0%, a difference of 8.5%). Conversely, both communities are more comparable in terms of married-couple households (45.2% compared to 45.1%, a difference of 0.050%), births to unmarried women (32.8% compared to 32.2%, a difference of 1.7%), and currently married (45.4% compared to 46.7%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Tlingit-Haida communities in the United States are seen in no vehicles in household (9.5% compared to 10.1%, a difference of 5.8%), 3 or more vehicles in household (20.5% compared to 19.9%, a difference of 3.2%), and 2 or more vehicles in household (56.6% compared to 55.8%, a difference of 1.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 90.1%, a difference of 0.55%), 4 or more vehicles in household (6.9% compared to 6.8%, a difference of 0.56%), and 2 or more vehicles in household (56.6% compared to 55.8%, a difference of 1.5%).

When considering education level, the most significant differences between Immigrants from Thailand and Tlingit-Haida communities in the United States are seen in no schooling completed (2.7% compared to 1.5%, a difference of 86.0%), master's degree (14.2% compared to 12.8%, a difference of 10.3%), and doctorate degree (1.8% compared to 1.7%, a difference of 7.8%). Conversely, both communities are more comparable in terms of college, 1 year or more (58.6% compared to 59.4%, a difference of 1.3%), nursery school (97.3% compared to 98.7%, a difference of 1.4%), and kindergarten (97.3% compared to 98.7%, a difference of 1.4%).

When considering disability, the most significant differences between Immigrants from Thailand and Tlingit-Haida communities in the United States are seen in hearing disability (3.1% compared to 4.8%, a difference of 55.7%), vision disability (2.2% compared to 2.9%, a difference of 29.0%), and disability age under 5 (1.2% compared to 1.5%, a difference of 26.7%). Conversely, both communities are more comparable in terms of cognitive disability (17.9% compared to 17.2%, a difference of 3.7%), disability age 5 to 17 (5.7% compared to 5.9%, a difference of 3.8%), and disability age over 75 (48.3% compared to 50.6%, a difference of 4.8%).