Belgian vs Immigrants from Latvia Unemployment Among Ages 30 to 34 years

The statistical analysis conducted on geographies consisting of 331,556,880 people shows a poor negative correlation between the proportion of Belgians and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.163 and weighted average of 5.1%. Similarly, the statistical analysis conducted on geographies consisting of 111,503,668 people shows a strong positive correlation between the proportion of Immigrants from Latvia and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.732 and weighted average of 5.2%, a difference of 1.3%.

Unemployment Among Ages 30 to 34 years Correlation Summary

Measurement	Belgian	Immigrants from Latvia
Minimum	0.60%	2.2%
Maximum	19.0%	41.4%
Range	18.4%	39.2%
Mean	5.9%	9.2%
Median	5.2%	5.7%
Interquartile 25% (IQ1)	2.6%	4.6%
Interquartile 75% (IQ3)	6.6%	7.8%
Interquartile Range (IQR)	4.0%	3.1%
Standard Deviation (Sample)	4.5%	10.8%
Standard Deviation (Population)	4.4%	10.5%

Demographics Similar to Belgians and Immigrants from Latvia by Unemployment Among Ages 30 to 34 years

In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Belgians are Immigrants from France (5.1%, a difference of 0.010%), Immigrants from Eastern Asia (5.1%, a difference of 0.020%), Immigrants from Japan (5.1%, a difference of 0.10%), Immigrants from Zimbabwe (5.1%, a difference of 0.16%), and Burmese (5.1%, a difference of 0.30%). Similarly, the demographic groups most similar to Immigrants from Latvia are Chilean (5.2%, a difference of 0.070%), Immigrants from Indonesia (5.2%, a difference of 0.18%), Immigrants from Lithuania (5.2%, a difference of 0.28%), Indonesian (5.2%, a difference of 0.33%), and Uruguayan (5.2%, a difference of 0.45%).

Demographics	Rating \| Rank	Unemployment Among Ages 30 to 34 years
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%
Paraguayans	96.4 /100 \| #71	Exceptional 5.1%
Immigrants \| Moldova	96.4 /100 \| #72	Exceptional 5.1%
Slovenes	96.2 /100 \| #73	Exceptional 5.2%
Immigrants \| Asia	96.2 /100 \| #74	Exceptional 5.2%
Iranians	96.0 /100 \| #75	Exceptional 5.2%
Scandinavians	95.6 /100 \| #76	Exceptional 5.2%
Uruguayans	95.4 /100 \| #77	Exceptional 5.2%
Indonesians	95.1 /100 \| #78	Exceptional 5.2%
Immigrants \| Lithuania	95.0 /100 \| #79	Exceptional 5.2%
Immigrants \| Indonesia	94.7 /100 \| #80	Exceptional 5.2%
Chileans	94.4 /100 \| #81	Exceptional 5.2%
Immigrants \| Latvia	94.2 /100 \| #82	Exceptional 5.2%