Immigrants from Asia vs Hmong Unemployment Among Women with Children Under 6 years

The statistical analysis conducted on geographies consisting of 374,283,619 people shows a poor negative correlation between the proportion of Immigrants from Asia and unemployment rate among women with children under the age of 6 in the United States with a correlation coefficient (R) of -0.183 and weighted average of 6.8%. Similarly, the statistical analysis conducted on geographies consisting of 24,062,767 people shows no correlation between the proportion of Hmong and unemployment rate among women with children under the age of 6 in the United States with a correlation coefficient (R) of 0.015 and weighted average of 6.7%, a difference of 1.8%.

Unemployment Among Women with Children Under 6 years Correlation Summary

Measurement	Immigrants from Asia	Hmong
Minimum	1.9%	0.60%
Maximum	16.3%	18.7%
Range	14.4%	18.1%
Mean	6.6%	7.2%
Median	6.5%	6.4%
Interquartile 25% (IQ1)	5.0%	4.3%
Interquartile 75% (IQ3)	7.6%	9.2%
Interquartile Range (IQR)	2.7%	4.9%
Standard Deviation (Sample)	2.7%	4.0%
Standard Deviation (Population)	2.7%	3.9%

Demographics Similar to Immigrants from Asia and Hmong by Unemployment Among Women with Children Under 6 years

In terms of unemployment among women with children under 6 years, the demographic groups most similar to Immigrants from Asia are Immigrants from Switzerland (6.8%, a difference of 0.030%), Immigrants from Nepal (6.8%, a difference of 0.080%), Immigrants from Ireland (6.8%, a difference of 0.090%), Ethiopian (6.8%, a difference of 0.11%), and Latvian (6.8%, a difference of 0.17%). Similarly, the demographic groups most similar to Hmong are Immigrants from Russia (6.7%, a difference of 0.060%), Sri Lankan (6.6%, a difference of 0.13%), Asian (6.7%, a difference of 0.28%), Luxembourger (6.6%, a difference of 0.38%), and Immigrants from Indonesia (6.7%, a difference of 0.44%).

Demographics	Rating \| Rank	Unemployment Among Women with Children Under 6 years
Tsimshian	100.0 /100 \| #32	Exceptional 6.6%
Immigrants \| Vietnam	100.0 /100 \| #33	Exceptional 6.6%
Immigrants \| South Central Asia	100.0 /100 \| #34	Exceptional 6.6%
Yakama	100.0 /100 \| #35	Exceptional 6.6%
Luxembourgers	100.0 /100 \| #36	Exceptional 6.6%
Sri Lankans	100.0 /100 \| #37	Exceptional 6.6%
Hmong	100.0 /100 \| #38	Exceptional 6.7%
Immigrants \| Russia	100.0 /100 \| #39	Exceptional 6.7%
Asians	100.0 /100 \| #40	Exceptional 6.7%
Immigrants \| Indonesia	99.9 /100 \| #41	Exceptional 6.7%
Immigrants \| Cuba	99.9 /100 \| #42	Exceptional 6.7%
Bhutanese	99.9 /100 \| #43	Exceptional 6.7%
Iranians	99.9 /100 \| #44	Exceptional 6.7%
Immigrants \| Australia	99.9 /100 \| #45	Exceptional 6.8%
Latvians	99.9 /100 \| #46	Exceptional 6.8%
Immigrants \| Asia	99.9 /100 \| #47	Exceptional 6.8%
Immigrants \| Switzerland	99.9 /100 \| #48	Exceptional 6.8%
Immigrants \| Nepal	99.9 /100 \| #49	Exceptional 6.8%
Immigrants \| Ireland	99.9 /100 \| #50	Exceptional 6.8%
Ethiopians	99.9 /100 \| #51	Exceptional 6.8%
Immigrants \| Iran	99.9 /100 \| #52	Exceptional 6.8%