Scandinavian vs Immigrants from Lithuania Unemployment Among Ages 30 to 34 years

The statistical analysis conducted on geographies consisting of 427,904,410 people shows a substantial positive correlation between the proportion of Scandinavians and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.547 and weighted average of 5.2%. Similarly, the statistical analysis conducted on geographies consisting of 114,688,670 people shows a substantial positive correlation between the proportion of Immigrants from Lithuania and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.522 and weighted average of 5.2%, a difference of 0.25%.

Unemployment Among Ages 30 to 34 years Correlation Summary

Measurement	Scandinavian	Immigrants from Lithuania
Minimum	1.3%	1.2%
Maximum	100.0%	13.1%
Range	98.7%	11.9%
Mean	18.4%	5.8%
Median	7.6%	4.9%
Interquartile 25% (IQ1)	4.1%	4.1%
Interquartile 75% (IQ3)	16.2%	6.9%
Interquartile Range (IQR)	12.0%	2.8%
Standard Deviation (Sample)	29.8%	3.0%
Standard Deviation (Population)	29.3%	2.9%

Demographics Similar to Scandinavians and Immigrants from Lithuania by Unemployment Among Ages 30 to 34 years

In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Scandinavians are Uruguayan (5.2%, a difference of 0.070%), Indonesian (5.2%, a difference of 0.20%), Iranian (5.2%, a difference of 0.21%), Immigrants from Asia (5.2%, a difference of 0.27%), and Slovene (5.2%, a difference of 0.30%). Similarly, the demographic groups most similar to Immigrants from Lithuania are Indonesian (5.2%, a difference of 0.050%), Immigrants from Indonesia (5.2%, a difference of 0.10%), Uruguayan (5.2%, a difference of 0.17%), Chilean (5.2%, a difference of 0.21%), and Immigrants from Latvia (5.2%, a difference of 0.28%).

Demographics	Rating \| Rank	Unemployment Among Ages 30 to 34 years
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%
Immigrants \| Korea	94.1 /100 \| #83	Exceptional 5.2%
Immigrants \| Uganda	94.0 /100 \| #84	Exceptional 5.2%
Immigrants \| Egypt	93.9 /100 \| #85	Exceptional 5.2%
Immigrants \| Australia	93.5 /100 \| #86	Exceptional 5.2%
Bhutanese	93.5 /100 \| #87	Exceptional 5.2%