Latvian vs Immigrants from Morocco In Labor Force | Age 35-44

The statistical analysis conducted on geographies consisting of 220,671,100 people shows no correlation between the proportion of Latvians and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of 0.046 and weighted average of 85.4%. Similarly, the statistical analysis conducted on geographies consisting of 178,909,040 people shows a mild positive correlation between the proportion of Immigrants from Morocco and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of 0.345 and weighted average of 85.2%, a difference of 0.15%.

In Labor Force | Age 35-44 Correlation Summary

Measurement	Latvian	Immigrants from Morocco
Minimum	55.4%	63.1%
Maximum	100.0%	100.0%
Range	44.6%	36.9%
Mean	87.3%	85.1%
Median	86.3%	85.5%
Interquartile 25% (IQ1)	84.3%	81.4%
Interquartile 75% (IQ3)	95.0%	88.9%
Interquartile Range (IQR)	10.7%	7.5%
Standard Deviation (Sample)	9.9%	8.2%
Standard Deviation (Population)	9.8%	8.1%

Demographics Similar to Latvians and Immigrants from Morocco by In Labor Force | Age 35-44

In terms of in labor force | age 35-44, the demographic groups most similar to Latvians are Paraguayan (85.4%, a difference of 0.010%), Immigrants from Liberia (85.4%, a difference of 0.010%), Immigrants from Lithuania (85.4%, a difference of 0.020%), Immigrants from Greece (85.3%, a difference of 0.030%), and Immigrants from Eastern Africa (85.4%, a difference of 0.060%). Similarly, the demographic groups most similar to Immigrants from Morocco are Kenyan (85.2%, a difference of 0.010%), Immigrants from Poland (85.2%, a difference of 0.020%), Eastern European (85.2%, a difference of 0.020%), Immigrants from Nepal (85.3%, a difference of 0.030%), and Estonian (85.3%, a difference of 0.030%).

Demographics	Rating \| Rank	In Labor Force \| Age 35-44
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%
Immigrants \| Bulgaria	99.8 /100 \| #40	Exceptional 85.2%