Immigrants from Lithuania vs Kenyan 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 168,197,384 people shows a strong negative correlation between the proportion of Kenyans and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of -0.768 and weighted average of 85.2%, a difference of 0.14%.

In Labor Force | Age 35-44 Correlation Summary

Measurement	Immigrants from Lithuania	Kenyan
Minimum	80.5%	40.0%
Maximum	100.0%	97.2%
Range	19.5%	57.2%
Mean	87.7%	83.8%
Median	85.8%	85.8%
Interquartile 25% (IQ1)	84.7%	82.5%
Interquartile 75% (IQ3)	88.2%	88.8%
Interquartile Range (IQR)	3.6%	6.3%
Standard Deviation (Sample)	5.5%	10.6%
Standard Deviation (Population)	5.4%	10.5%

Demographics Similar to Immigrants from Lithuania and Kenyans 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%), Latvian (85.4%, a difference of 0.020%), and Cambodian (85.3%, a difference of 0.050%). Similarly, the demographic groups most similar to Kenyans are Immigrants from Morocco (85.2%, a difference of 0.010%), Immigrants from Poland (85.2%, a difference of 0.010%), Eastern European (85.2%, a difference of 0.010%), Immigrants from Bulgaria (85.2%, a difference of 0.020%), and Immigrants from Zimbabwe (85.2%, a difference of 0.020%).

Demographics	Rating \| Rank	In Labor Force \| Age 35-44
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%
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%