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

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%. Similarly, the statistical analysis conducted on geographies consisting of 185,332,554 people shows a moderate positive correlation between the proportion of Immigrants from Australia and unemployment rate among women with children under the age of 6 in the United States with a correlation coefficient (R) of 0.406 and weighted average of 6.8%, a difference of 1.4%.

Unemployment Among Women with Children Under 6 years Correlation Summary

Measurement	Hmong	Immigrants from Australia
Minimum	0.60%	1.8%
Maximum	18.7%	51.1%
Range	18.1%	49.3%
Mean	7.2%	12.5%
Median	6.4%	7.2%
Interquartile 25% (IQ1)	4.3%	5.4%
Interquartile 75% (IQ3)	9.2%	13.7%
Interquartile Range (IQR)	4.9%	8.3%
Standard Deviation (Sample)	4.0%	12.9%
Standard Deviation (Population)	3.9%	12.6%

Demographics Similar to Hmong and Immigrants from Australia 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 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%). Similarly, the demographic groups most similar to Immigrants from Australia are Iranian (6.7%, a difference of 0.060%), Latvian (6.8%, a difference of 0.24%), Immigrants from Asia (6.8%, a difference of 0.41%), Immigrants from Switzerland (6.8%, a difference of 0.44%), and Immigrants from Nepal (6.8%, a difference of 0.49%).

Demographics	Rating \| Rank	Unemployment Among Women with Children Under 6 years
Immigrants \| Moldova	100.0 /100 \| #31	Exceptional 6.6%
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%