Immigrants from Lithuania vs Czech 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 484,299,393 people shows a moderate positive correlation between the proportion of Czechs and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.409 and weighted average of 85.5%, a difference of 0.17%.

In Labor Force | Age 30-34 Correlation Summary

Measurement	Immigrants from Lithuania	Czech
Minimum	73.4%	72.8%
Maximum	100.0%	100.0%
Range	26.6%	27.2%
Mean	88.1%	89.8%
Median	86.3%	88.7%
Interquartile 25% (IQ1)	84.0%	85.6%
Interquartile 75% (IQ3)	92.4%	95.4%
Interquartile Range (IQR)	8.5%	9.8%
Standard Deviation (Sample)	6.3%	7.3%
Standard Deviation (Population)	6.2%	7.3%

Demographics Similar to Immigrants from Lithuania and Czechs 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 Italy (85.7%, a difference of 0.010%), Immigrants from Sri Lanka (85.6%, a difference of 0.030%), Immigrants from Nepal (85.6%, a difference of 0.030%), and Turkish (85.7%, a difference of 0.040%). Similarly, the demographic groups most similar to Czechs are Russian (85.5%, a difference of 0.0%), Immigrants from Kenya (85.5%, a difference of 0.010%), Immigrants from Turkey (85.5%, a difference of 0.010%), Polish (85.5%, a difference of 0.010%), and Filipino (85.5%, a difference of 0.020%).

Demographics	Rating \| Rank	In Labor Force \| Age 30-34
Eastern Europeans	99.9 /100 \| #39	Exceptional 85.7%
Turks	99.9 /100 \| #40	Exceptional 85.7%
Immigrants \| Italy	99.9 /100 \| #41	Exceptional 85.7%
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%