Immigrants from Lithuania vs Soviet Union In Labor Force | Age 30-34

The statistical analysis conducted on geographies consisting of 117,688,964 people shows a substantial positive correlation between the proportion of Immigrants from Lithuania and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.517 and weighted average of 85.6%. Similarly, the statistical analysis conducted on geographies consisting of 43,512,203 people shows a significant negative correlation between the proportion of Soviet Union and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.682 and weighted average of 85.5%, a difference of 0.22%.

In Labor Force | Age 30-34 Correlation Summary

Measurement	Immigrants from Lithuania	Soviet Union
Minimum	73.4%	40.0%
Maximum	100.0%	100.0%
Range	26.6%	60.0%
Mean	88.1%	82.8%
Median	86.3%	85.9%
Interquartile 25% (IQ1)	84.0%	82.5%
Interquartile 75% (IQ3)	92.4%	87.8%
Interquartile Range (IQR)	8.5%	5.3%
Standard Deviation (Sample)	6.3%	11.2%
Standard Deviation (Population)	6.2%	11.1%

Demographics Similar to Immigrants from Lithuania and Soviet Union by In Labor Force | Age 30-34

In terms of in labor force | age 30-34, the demographic groups most similar to Immigrants from Lithuania are Zimbabwean (85.6%, a difference of 0.0%), Immigrants from Sri Lanka (85.6%, a difference of 0.030%), Immigrants from Nepal (85.6%, a difference of 0.030%), Immigrants from Morocco (85.6%, a difference of 0.040%), and Croatian (85.6%, a difference of 0.040%). Similarly, the demographic groups most similar to Soviet Union are Immigrants from France (85.5%, a difference of 0.010%), Immigrants from Brazil (85.5%, a difference of 0.010%), Immigrants from Poland (85.5%, a difference of 0.030%), Czech (85.5%, a difference of 0.050%), and Russian (85.5%, a difference of 0.050%).

Demographics	Rating \| Rank	In Labor Force \| Age 30-34
Zimbabweans	99.8 /100 \| #42	Exceptional 85.6%
Immigrants \| Lithuania	99.8 /100 \| #43	Exceptional 85.6%
Immigrants \| Sri Lanka	99.8 /100 \| #44	Exceptional 85.6%
Immigrants \| Nepal	99.8 /100 \| #45	Exceptional 85.6%
Immigrants \| Morocco	99.8 /100 \| #46	Exceptional 85.6%
Croatians	99.8 /100 \| #47	Exceptional 85.6%
Immigrants \| Sweden	99.8 /100 \| #48	Exceptional 85.6%
Lithuanians	99.8 /100 \| #49	Exceptional 85.6%
Immigrants \| Australia	99.8 /100 \| #50	Exceptional 85.6%
Cape Verdeans	99.7 /100 \| #51	Exceptional 85.6%
Slovenes	99.7 /100 \| #52	Exceptional 85.6%
Filipinos	99.6 /100 \| #53	Exceptional 85.5%
Immigrants \| Kenya	99.6 /100 \| #54	Exceptional 85.5%
Immigrants \| Turkey	99.6 /100 \| #55	Exceptional 85.5%
Czechs	99.6 /100 \| #56	Exceptional 85.5%
Russians	99.6 /100 \| #57	Exceptional 85.5%
Poles	99.6 /100 \| #58	Exceptional 85.5%
Immigrants \| Poland	99.5 /100 \| #59	Exceptional 85.5%
Immigrants \| France	99.5 /100 \| #60	Exceptional 85.5%
Immigrants \| Brazil	99.5 /100 \| #61	Exceptional 85.5%
Soviet Union	99.4 /100 \| #62	Exceptional 85.5%