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

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%. Similarly, 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%, a difference of 0.39%.

In Labor Force | Age 35-44 Correlation Summary

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

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

In terms of in labor force | age 35-44, 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%). Similarly, 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%).

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%