Immigrants from Morocco vs Burmese Unemployment Among Ages 30 to 34 years

The statistical analysis conducted on geographies consisting of 175,536,511 people shows a weak negative correlation between the proportion of Immigrants from Morocco and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.273 and weighted average of 5.1%. Similarly, the statistical analysis conducted on geographies consisting of 431,223,716 people shows a slight negative correlation between the proportion of Burmese and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.073 and weighted average of 5.1%, a difference of 0.99%.

Unemployment Among Ages 30 to 34 years Correlation Summary

Measurement	Immigrants from Morocco	Burmese
Minimum	0.70%	1.6%
Maximum	10.0%	12.3%
Range	9.3%	10.7%
Mean	4.7%	5.4%
Median	4.9%	5.0%
Interquartile 25% (IQ1)	3.7%	4.2%
Interquartile 75% (IQ3)	5.8%	6.6%
Interquartile Range (IQR)	2.1%	2.4%
Standard Deviation (Sample)	2.3%	2.3%
Standard Deviation (Population)	2.2%	2.3%

Demographics Similar to Immigrants from Morocco and Burmese by Unemployment Among Ages 30 to 34 years

In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Immigrants from Morocco are Cuban (5.1%, a difference of 0.18%), Chinese (5.1%, a difference of 0.20%), Immigrants from Burma/Myanmar (5.1%, a difference of 0.23%), Turkish (5.1%, a difference of 0.26%), and Puget Sound Salish (5.1%, a difference of 0.30%). Similarly, the demographic groups most similar to Burmese are Jordanian (5.1%, a difference of 0.010%), Immigrants from Northern Africa (5.1%, a difference of 0.020%), Immigrants from Iraq (5.1%, a difference of 0.020%), Immigrants from Zimbabwe (5.1%, a difference of 0.13%), and Immigrants from Japan (5.1%, a difference of 0.20%).

Demographics	Rating \| Rank	Unemployment Among Ages 30 to 34 years
Puget Sound Salish	98.2 /100 \| #50	Exceptional 5.1%
Turks	98.2 /100 \| #51	Exceptional 5.1%
Immigrants \| Burma/Myanmar	98.1 /100 \| #52	Exceptional 5.1%
Cubans	98.1 /100 \| #53	Exceptional 5.1%
Immigrants \| Morocco	97.9 /100 \| #54	Exceptional 5.1%
Chinese	97.7 /100 \| #55	Exceptional 5.1%
Immigrants \| Serbia	97.4 /100 \| #56	Exceptional 5.1%
Immigrants \| China	97.2 /100 \| #57	Exceptional 5.1%
Asians	97.2 /100 \| #58	Exceptional 5.1%
Swedes	97.1 /100 \| #59	Exceptional 5.1%
Immigrants \| Somalia	97.1 /100 \| #60	Exceptional 5.1%
Indians (Asian)	97.0 /100 \| #61	Exceptional 5.1%
Immigrants \| France	97.0 /100 \| #62	Exceptional 5.1%
Belgians	97.0 /100 \| #63	Exceptional 5.1%
Immigrants \| Eastern Asia	96.9 /100 \| #64	Exceptional 5.1%
Immigrants \| Japan	96.8 /100 \| #65	Exceptional 5.1%
Immigrants \| Zimbabwe	96.7 /100 \| #66	Exceptional 5.1%
Burmese	96.5 /100 \| #67	Exceptional 5.1%
Jordanians	96.5 /100 \| #68	Exceptional 5.1%
Immigrants \| Northern Africa	96.4 /100 \| #69	Exceptional 5.1%
Immigrants \| Iraq	96.4 /100 \| #70	Exceptional 5.1%