Immigrants from Poland vs Carpatho Rusyn In Labor Force | Age 35-44

The statistical analysis conducted on geographies consisting of 304,792,655 people shows a mild positive correlation between the proportion of Immigrants from Poland and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of 0.394 and weighted average of 85.2%. Similarly, the statistical analysis conducted on geographies consisting of 58,868,211 people shows a weak positive correlation between the proportion of Carpatho Rusyns and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of 0.264 and weighted average of 85.6%, a difference of 0.39%.

In Labor Force | Age 35-44 Correlation Summary

Measurement	Immigrants from Poland	Carpatho Rusyn
Minimum	79.3%	72.7%
Maximum	100.0%	100.0%
Range	20.7%	27.3%
Mean	88.1%	87.5%
Median	86.2%	86.0%
Interquartile 25% (IQ1)	84.9%	84.6%
Interquartile 75% (IQ3)	90.9%	89.0%
Interquartile Range (IQR)	6.1%	4.4%
Standard Deviation (Sample)	5.8%	5.9%
Standard Deviation (Population)	5.7%	5.8%

Demographics Similar to Immigrants from Poland and Carpatho Rusyns by In Labor Force | Age 35-44

In terms of in labor force | age 35-44, the demographic groups most similar to Immigrants from Poland are Kenyan (85.2%, a difference of 0.010%), Immigrants from Morocco (85.2%, a difference of 0.020%), Estonian (85.3%, a difference of 0.040%), Immigrants from Nepal (85.3%, a difference of 0.050%), and Ugandan (85.3%, a difference of 0.070%). Similarly, the demographic groups most similar to Carpatho Rusyns are Slovene (85.6%, a difference of 0.0%), Immigrants from Serbia (85.5%, a difference of 0.050%), Bulgarian (85.5%, a difference of 0.10%), Immigrants from Bosnia and Herzegovina (85.4%, a difference of 0.14%), and Immigrants from Eastern Africa (85.4%, a difference of 0.17%).

Demographics	Rating \| Rank	In Labor Force \| Age 35-44
Carpatho Rusyns	100.0 /100 \| #18	Exceptional 85.6%
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%