Crow vs Immigrants from Thailand In Labor Force | Age 16-19

The statistical analysis conducted on geographies consisting of 59,169,003 people shows a substantial negative correlation between the proportion of Crow and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of -0.549 and weighted average of 38.5%. Similarly, the statistical analysis conducted on geographies consisting of 316,722,585 people shows a weak positive correlation between the proportion of Immigrants from Thailand and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.220 and weighted average of 38.7%, a difference of 0.65%.

In Labor Force | Age 16-19 Correlation Summary

Measurement	Crow	Immigrants from Thailand
Minimum	14.3%	15.4%
Maximum	69.9%	100.0%
Range	55.6%	84.6%
Mean	38.0%	46.3%
Median	36.8%	42.8%
Interquartile 25% (IQ1)	24.4%	37.7%
Interquartile 75% (IQ3)	48.9%	52.2%
Interquartile Range (IQR)	24.6%	14.5%
Standard Deviation (Sample)	15.7%	17.4%
Standard Deviation (Population)	15.4%	17.3%

Demographics Similar to Crow and Immigrants from Thailand by In Labor Force | Age 16-19

In terms of in labor force | age 16-19, the demographic groups most similar to Crow are Immigrants from Scotland (38.5%, a difference of 0.010%), Maltese (38.5%, a difference of 0.060%), Subsaharan African (38.4%, a difference of 0.14%), Immigrants from Ethiopia (38.6%, a difference of 0.18%), and Lebanese (38.6%, a difference of 0.18%). Similarly, the demographic groups most similar to Immigrants from Thailand are Hmong (38.7%, a difference of 0.070%), Zimbabwean (38.7%, a difference of 0.070%), Immigrants from Cameroon (38.7%, a difference of 0.11%), Immigrants from Eritrea (38.7%, a difference of 0.16%), and Immigrants from North Macedonia (38.9%, a difference of 0.29%).

Demographics	Rating \| Rank	In Labor Force \| Age 16-19
Immigrants \| North America	99.4 /100 \| #95	Exceptional 38.9%
Latvians	99.4 /100 \| #96	Exceptional 38.9%
Greeks	99.3 /100 \| #97	Exceptional 38.9%
Ugandans	99.3 /100 \| #98	Exceptional 38.9%
Immigrants \| North Macedonia	99.3 /100 \| #99	Exceptional 38.9%
Immigrants \| Thailand	99.1 /100 \| #100	Exceptional 38.7%
Hmong	99.1 /100 \| #101	Exceptional 38.7%
Zimbabweans	99.1 /100 \| #102	Exceptional 38.7%
Immigrants \| Cameroon	99.0 /100 \| #103	Exceptional 38.7%
Immigrants \| Eritrea	99.0 /100 \| #104	Exceptional 38.7%
Iraqis	98.9 /100 \| #105	Exceptional 38.6%
Delaware	98.8 /100 \| #106	Exceptional 38.6%
Chinese	98.8 /100 \| #107	Exceptional 38.6%
Immigrants \| Ethiopia	98.7 /100 \| #108	Exceptional 38.6%
Lebanese	98.7 /100 \| #109	Exceptional 38.6%
Maltese	98.6 /100 \| #110	Exceptional 38.5%
Crow	98.5 /100 \| #111	Exceptional 38.5%
Immigrants \| Scotland	98.5 /100 \| #112	Exceptional 38.5%
Sub-Saharan Africans	98.3 /100 \| #113	Exceptional 38.4%
Hawaiians	98.2 /100 \| #114	Exceptional 38.4%
Bulgarians	97.9 /100 \| #115	Exceptional 38.3%