Czech vs Immigrants from Lithuania In Labor Force | Age 35-44

The statistical analysis conducted on geographies consisting of 484,520,420 people shows a mild positive correlation between the proportion of Czechs and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of 0.357 and weighted average of 85.3%. Similarly, the statistical analysis conducted on geographies consisting of 117,719,868 people shows a strong positive correlation between the proportion of Immigrants from Lithuania and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of 0.750 and weighted average of 85.4%, a difference of 0.070%.

In Labor Force | Age 35-44 Correlation Summary

Measurement	Czech	Immigrants from Lithuania
Minimum	64.5%	80.5%
Maximum	100.0%	100.0%
Range	35.5%	19.5%
Mean	89.0%	87.7%
Median	87.1%	85.8%
Interquartile 25% (IQ1)	85.2%	84.7%
Interquartile 75% (IQ3)	94.3%	88.2%
Interquartile Range (IQR)	9.1%	3.6%
Standard Deviation (Sample)	7.4%	5.5%
Standard Deviation (Population)	7.4%	5.4%

Demographics Similar to Czechs and Immigrants from Lithuania by In Labor Force | Age 35-44

In terms of in labor force | age 35-44, the demographic groups most similar to Czechs are Bermudan (85.3%, a difference of 0.0%), Immigrants from India (85.3%, a difference of 0.0%), Ugandan (85.3%, a difference of 0.010%), Cambodian (85.3%, a difference of 0.020%), and Immigrants from Nepal (85.3%, a difference of 0.030%). Similarly, the demographic groups most similar to Immigrants from Lithuania are Paraguayan (85.4%, a difference of 0.0%), Immigrants from Liberia (85.4%, a difference of 0.0%), Immigrants from Greece (85.3%, a difference of 0.010%), Latvian (85.4%, a difference of 0.020%), and Cambodian (85.3%, a difference of 0.050%).

Demographics	Rating \| Rank	In Labor Force \| Age 35-44
Slovenes	100.0 /100 \| #19	Exceptional 85.6%
Immigrants \| Serbia	100.0 /100 \| #20	Exceptional 85.5%
Bulgarians	100.0 /100 \| #21	Exceptional 85.5%
Immigrants \| Bosnia and Herzegovina	100.0 /100 \| #22	Exceptional 85.4%
Immigrants \| Eastern Africa	100.0 /100 \| #23	Exceptional 85.4%
Latvians	99.9 /100 \| #24	Exceptional 85.4%
Paraguayans	99.9 /100 \| #25	Exceptional 85.4%
Immigrants \| Liberia	99.9 /100 \| #26	Exceptional 85.4%
Immigrants \| Lithuania	99.9 /100 \| #27	Exceptional 85.4%
Immigrants \| Greece	99.9 /100 \| #28	Exceptional 85.3%
Cambodians	99.9 /100 \| #29	Exceptional 85.3%
Bermudans	99.9 /100 \| #30	Exceptional 85.3%
Czechs	99.9 /100 \| #31	Exceptional 85.3%
Immigrants \| India	99.9 /100 \| #32	Exceptional 85.3%
Ugandans	99.9 /100 \| #33	Exceptional 85.3%
Immigrants \| Nepal	99.9 /100 \| #34	Exceptional 85.3%
Estonians	99.9 /100 \| #35	Exceptional 85.3%
Immigrants \| Morocco	99.8 /100 \| #36	Exceptional 85.2%
Kenyans	99.8 /100 \| #37	Exceptional 85.2%
Immigrants \| Poland	99.8 /100 \| #38	Exceptional 85.2%
Eastern Europeans	99.8 /100 \| #39	Exceptional 85.2%