Immigrants from Kenya vs Hmong Unemployment Among Women with Children Ages 6 to 17 years

The statistical analysis conducted on geographies consisting of 177,643,514 people shows a substantial positive correlation between the proportion of Immigrants from Kenya and unemployment rate among women with children between the ages 6 and 17 in the United States with a correlation coefficient (R) of 0.538 and weighted average of 8.8%. Similarly, the statistical analysis conducted on geographies consisting of 23,659,268 people shows no correlation between the proportion of Hmong and unemployment rate among women with children between the ages 6 and 17 in the United States with a correlation coefficient (R) of 0.010 and weighted average of 8.7%, a difference of 1.1%.

Unemployment Among Women with Children Ages 6 to 17 years Correlation Summary

Measurement	Immigrants from Kenya	Hmong
Minimum	5.9%	0.40%
Maximum	22.8%	24.0%
Range	16.9%	23.6%
Mean	10.8%	8.9%
Median	9.7%	8.6%
Interquartile 25% (IQ1)	8.2%	3.4%
Interquartile 75% (IQ3)	11.6%	13.0%
Interquartile Range (IQR)	3.4%	9.6%
Standard Deviation (Sample)	4.1%	6.1%
Standard Deviation (Population)	4.0%	6.0%

Demographics Similar to Immigrants from Kenya and Hmong by Unemployment Among Women with Children Ages 6 to 17 years

In terms of unemployment among women with children ages 6 to 17 years, the demographic groups most similar to Immigrants from Kenya are Russian (8.8%, a difference of 0.030%), Kenyan (8.8%, a difference of 0.050%), Immigrants from Austria (8.8%, a difference of 0.13%), Serbian (8.8%, a difference of 0.15%), and Immigrants from Poland (8.8%, a difference of 0.22%). Similarly, the demographic groups most similar to Hmong are Czech (8.7%, a difference of 0.020%), Immigrants from Northern Africa (8.7%, a difference of 0.030%), South African (8.7%, a difference of 0.050%), Barbadian (8.7%, a difference of 0.10%), and Immigrants from Western Asia (8.7%, a difference of 0.24%).

Demographics	Rating \| Rank	Unemployment Among Women with Children Ages 6 to 17 years
South Africans	94.6 /100 \| #125	Exceptional 8.7%
Immigrants \| Northern Africa	94.4 /100 \| #126	Exceptional 8.7%
Czechs	94.4 /100 \| #127	Exceptional 8.7%
Hmong	94.3 /100 \| #128	Exceptional 8.7%
Barbadians	93.8 /100 \| #129	Exceptional 8.7%
Immigrants \| Western Asia	93.1 /100 \| #130	Exceptional 8.7%
Slavs	92.2 /100 \| #131	Exceptional 8.7%
Yaqui	92.2 /100 \| #132	Exceptional 8.7%
Egyptians	91.8 /100 \| #133	Exceptional 8.7%
Immigrants \| Ireland	91.0 /100 \| #134	Exceptional 8.7%
Europeans	90.6 /100 \| #135	Exceptional 8.7%
Immigrants \| Latvia	90.4 /100 \| #136	Exceptional 8.7%
Immigrants \| Argentina	90.0 /100 \| #137	Excellent 8.7%
Immigrants \| Ethiopia	89.5 /100 \| #138	Excellent 8.8%
Northern Europeans	89.2 /100 \| #139	Excellent 8.8%
Immigrants \| Poland	88.3 /100 \| #140	Excellent 8.8%
Serbians	87.6 /100 \| #141	Excellent 8.8%
Immigrants \| Austria	87.5 /100 \| #142	Excellent 8.8%
Immigrants \| Kenya	86.1 /100 \| #143	Excellent 8.8%
Russians	85.8 /100 \| #144	Excellent 8.8%
Kenyans	85.6 /100 \| #145	Excellent 8.8%