Soviet Union vs Immigrants from Hong Kong In Labor Force | Age 16-19

The statistical analysis conducted on geographies consisting of 43,506,709 people shows a substantial positive correlation between the proportion of Soviet Union and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.552 and weighted average of 31.4%. Similarly, the statistical analysis conducted on geographies consisting of 253,714,019 people shows a mild positive correlation between the proportion of Immigrants from Hong Kong and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.385 and weighted average of 30.5%, a difference of 3.1%.

In Labor Force | Age 16-19 Correlation Summary

Measurement	Soviet Union	Immigrants from Hong Kong
Minimum	6.3%	8.3%
Maximum	86.7%	100.0%
Range	80.4%	91.7%
Mean	34.8%	31.7%
Median	32.7%	29.4%
Interquartile 25% (IQ1)	25.2%	23.4%
Interquartile 75% (IQ3)	39.1%	34.4%
Interquartile Range (IQR)	13.9%	11.0%
Standard Deviation (Sample)	15.5%	15.8%
Standard Deviation (Population)	15.4%	15.7%

Demographics Similar to Soviet Union and Immigrants from Hong Kong by In Labor Force | Age 16-19

In terms of in labor force | age 16-19, the demographic groups most similar to Soviet Union are Ecuadorian (31.4%, a difference of 0.060%), West Indian (31.3%, a difference of 0.30%), Immigrants from Yemen (31.5%, a difference of 0.32%), Tohono O'odham (31.3%, a difference of 0.41%), and Immigrants from Caribbean (31.2%, a difference of 0.54%). Similarly, the demographic groups most similar to Immigrants from Hong Kong are Immigrants from Israel (30.5%, a difference of 0.020%), Puerto Rican (30.3%, a difference of 0.42%), Immigrants from Cuba (30.2%, a difference of 0.75%), Immigrants from Trinidad and Tobago (30.2%, a difference of 1.0%), and Trinidadian and Tobagonian (30.9%, a difference of 1.5%).

Demographics	Rating \| Rank	In Labor Force \| Age 16-19
Filipinos	0.0 /100 \| #316	Tragic 31.7%
Immigrants \| Nicaragua	0.0 /100 \| #317	Tragic 31.6%
Immigrants \| Yemen	0.0 /100 \| #318	Tragic 31.5%
Soviet Union	0.0 /100 \| #319	Tragic 31.4%
Ecuadorians	0.0 /100 \| #320	Tragic 31.4%
West Indians	0.0 /100 \| #321	Tragic 31.3%
Tohono O'odham	0.0 /100 \| #322	Tragic 31.3%
Immigrants \| Caribbean	0.0 /100 \| #323	Tragic 31.2%
Dominicans	0.0 /100 \| #324	Tragic 31.2%
Immigrants \| China	0.0 /100 \| #325	Tragic 31.1%
Immigrants \| Dominican Republic	0.0 /100 \| #326	Tragic 31.1%
Immigrants \| Taiwan	0.0 /100 \| #327	Tragic 31.0%
Immigrants \| Ecuador	0.0 /100 \| #328	Tragic 31.0%
Barbadians	0.0 /100 \| #329	Tragic 31.0%
Lumbee	0.0 /100 \| #330	Tragic 31.0%
Trinidadians and Tobagonians	0.0 /100 \| #331	Tragic 30.9%
Immigrants \| Israel	0.0 /100 \| #332	Tragic 30.5%
Immigrants \| Hong Kong	0.0 /100 \| #333	Tragic 30.5%
Puerto Ricans	0.0 /100 \| #334	Tragic 30.3%
Immigrants \| Cuba	0.0 /100 \| #335	Tragic 30.2%
Immigrants \| Trinidad and Tobago	0.0 /100 \| #336	Tragic 30.2%