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

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%. Similarly, the statistical analysis conducted on geographies consisting of 559,917,844 people shows a poor negative correlation between the proportion of Poles and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of -0.100 and weighted average of 85.2%, a difference of 0.17%.

In Labor Force | Age 35-44 Correlation Summary

Measurement	Immigrants from Lithuania	Polish
Minimum	80.5%	37.5%
Maximum	100.0%	100.0%
Range	19.5%	62.5%
Mean	87.7%	86.4%
Median	85.8%	86.6%
Interquartile 25% (IQ1)	84.7%	85.2%
Interquartile 75% (IQ3)	88.2%	90.9%
Interquartile Range (IQR)	3.6%	5.7%
Standard Deviation (Sample)	5.5%	11.1%
Standard Deviation (Population)	5.4%	11.1%

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

In terms of in labor force | age 35-44, 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%), Cambodian (85.3%, a difference of 0.050%), and Bermudan (85.3%, a difference of 0.070%). Similarly, the demographic groups most similar to Poles are Lithuanian (85.2%, a difference of 0.0%), Immigrants from Bulgaria (85.2%, a difference of 0.010%), Immigrants from Zimbabwe (85.2%, a difference of 0.010%), Macedonian (85.2%, a difference of 0.010%), and Immigrants from Poland (85.2%, a difference of 0.020%).

Demographics	Rating \| Rank	In Labor Force \| Age 35-44
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%
Immigrants \| Bulgaria	99.8 /100 \| #40	Exceptional 85.2%
Immigrants \| Zimbabwe	99.8 /100 \| #41	Exceptional 85.2%
Macedonians	99.8 /100 \| #42	Exceptional 85.2%
Poles	99.8 /100 \| #43	Exceptional 85.2%
Lithuanians	99.8 /100 \| #44	Exceptional 85.2%
Cypriots	99.8 /100 \| #45	Exceptional 85.2%