Senegalese vs Immigrants from South Eastern Asia In Labor Force | Age 16-19

The statistical analysis conducted on geographies consisting of 78,118,537 people shows a weak negative correlation between the proportion of Senegalese and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of -0.214 and weighted average of 35.9%. Similarly, the statistical analysis conducted on geographies consisting of 511,227,772 people shows no correlation between the proportion of Immigrants from South Eastern Asia and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of -0.009 and weighted average of 35.6%, a difference of 0.71%.

In Labor Force | Age 16-19 Correlation Summary

Measurement	Senegalese	Immigrants from South Eastern Asia
Minimum	15.0%	10.4%
Maximum	58.4%	75.8%
Range	43.4%	65.4%
Mean	36.6%	33.7%
Median	37.2%	33.3%
Interquartile 25% (IQ1)	32.7%	28.5%
Interquartile 75% (IQ3)	40.1%	36.6%
Interquartile Range (IQR)	7.4%	8.1%
Standard Deviation (Sample)	9.0%	10.0%
Standard Deviation (Population)	8.9%	9.9%

Demographics Similar to Senegalese and Immigrants from South Eastern Asia by In Labor Force | Age 16-19

In terms of in labor force | age 16-19, the demographic groups most similar to Senegalese are Alsatian (35.9%, a difference of 0.010%), Immigrants from Nigeria (35.8%, a difference of 0.060%), Immigrants from Sweden (35.9%, a difference of 0.12%), Immigrants from Norway (35.9%, a difference of 0.20%), and Immigrants from Northern Africa (35.9%, a difference of 0.21%). Similarly, the demographic groups most similar to Immigrants from South Eastern Asia are Apache (35.6%, a difference of 0.020%), Dutch West Indian (35.6%, a difference of 0.020%), Immigrants from Costa Rica (35.6%, a difference of 0.020%), Houma (35.6%, a difference of 0.030%), and Immigrants from Bolivia (35.6%, a difference of 0.030%).

Demographics	Rating \| Rank	In Labor Force \| Age 16-19
Immigrants \| Northern Africa	19.9 /100 \| #198	Poor 35.9%
Immigrants \| Norway	19.8 /100 \| #199	Poor 35.9%
Immigrants \| Sweden	18.8 /100 \| #200	Poor 35.9%
Alsatians	17.5 /100 \| #201	Poor 35.9%
Senegalese	17.4 /100 \| #202	Poor 35.9%
Immigrants \| Nigeria	16.8 /100 \| #203	Poor 35.8%
Immigrants \| Albania	15.0 /100 \| #204	Poor 35.8%
South American Indians	14.6 /100 \| #205	Poor 35.8%
Chileans	14.6 /100 \| #206	Poor 35.8%
Immigrants \| Eastern Europe	14.5 /100 \| #207	Poor 35.8%
Koreans	13.3 /100 \| #208	Poor 35.7%
Moroccans	12.7 /100 \| #209	Poor 35.7%
Immigrants \| Switzerland	11.9 /100 \| #210	Poor 35.6%
Mexicans	11.9 /100 \| #211	Poor 35.6%
Houma	11.0 /100 \| #212	Poor 35.6%
Immigrants \| Bolivia	11.0 /100 \| #213	Poor 35.6%
Apache	11.0 /100 \| #214	Poor 35.6%
Immigrants \| South Eastern Asia	10.8 /100 \| #215	Poor 35.6%
Dutch West Indians	10.7 /100 \| #216	Poor 35.6%
Immigrants \| Costa Rica	10.7 /100 \| #217	Poor 35.6%
Sri Lankans	9.8 /100 \| #218	Tragic 35.5%