Immigrants from Kenya vs Japanese In Labor Force | Age 16-19
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Immigrants from Kenya
Japanese
In Labor Force | Age 16-19
In Labor Force | Age 16-19 Comparison
Immigrants from Kenya
Japanese
40.5%
IN LABOR FORCE | AGE 16-19
100.0/ 100
METRIC RATING
53rd/ 347
METRIC RANK
37.5%
IN LABOR FORCE | AGE 16-19
89.3/ 100
METRIC RATING
144th/ 347
METRIC RANK
Immigrants from Kenya vs Japanese In Labor Force | Age 16-19 Correlation Chart
The statistical analysis conducted on geographies consisting of 218,036,354 people shows a substantial positive correlation between the proportion of Immigrants from Kenya and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.583 and weighted average of 40.5%. Similarly, the statistical analysis conducted on geographies consisting of 249,091,187 people shows a significant positive correlation between the proportion of Japanese and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.601 and weighted average of 37.5%, a difference of 7.9%.
In Labor Force | Age 16-19 Correlation Summary
Measurement | Immigrants from Kenya | Japanese |
Minimum | 23.0% | 8.6% |
Maximum | 100.0% | 100.0% |
Range | 77.0% | 91.4% |
Mean | 47.7% | 43.1% |
Median | 44.0% | 38.2% |
Interquartile 25% (IQ1) | 38.6% | 32.8% |
Interquartile 75% (IQ3) | 50.3% | 46.7% |
Interquartile Range (IQR) | 11.7% | 13.8% |
Standard Deviation (Sample) | 16.3% | 17.9% |
Standard Deviation (Population) | 16.0% | 17.7% |
Similar Demographics by In Labor Force | Age 16-19
Demographics Similar to Immigrants from Kenya by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to Immigrants from Kenya are Tlingit-Haida (40.5%, a difference of 0.030%), British (40.5%, a difference of 0.060%), Fijian (40.4%, a difference of 0.15%), Lithuanian (40.4%, a difference of 0.17%), and Aleut (40.4%, a difference of 0.19%).
Demographics | Rating | Rank | In Labor Force | Age 16-19 |
Immigrants | Sudan | 100.0 /100 | #46 | Exceptional 41.0% |
Carpatho Rusyns | 100.0 /100 | #47 | Exceptional 40.8% |
Icelanders | 100.0 /100 | #48 | Exceptional 40.8% |
Cree | 100.0 /100 | #49 | Exceptional 40.8% |
Indonesians | 100.0 /100 | #50 | Exceptional 40.7% |
Immigrants | Zaire | 100.0 /100 | #51 | Exceptional 40.7% |
Immigrants | Laos | 100.0 /100 | #52 | Exceptional 40.6% |
Immigrants | Kenya | 100.0 /100 | #53 | Exceptional 40.5% |
Tlingit-Haida | 100.0 /100 | #54 | Exceptional 40.5% |
British | 100.0 /100 | #55 | Exceptional 40.5% |
Fijians | 100.0 /100 | #56 | Exceptional 40.4% |
Lithuanians | 100.0 /100 | #57 | Exceptional 40.4% |
Aleuts | 100.0 /100 | #58 | Exceptional 40.4% |
Slavs | 100.0 /100 | #59 | Exceptional 40.4% |
Immigrants | Eastern Africa | 100.0 /100 | #60 | Exceptional 40.4% |
Demographics Similar to Japanese by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to Japanese are Paiute (37.5%, a difference of 0.0%), Pakistani (37.6%, a difference of 0.020%), Sierra Leonean (37.6%, a difference of 0.050%), Immigrants from Western Europe (37.5%, a difference of 0.050%), and Brazilian (37.5%, a difference of 0.080%).
Demographics | Rating | Rank | In Labor Force | Age 16-19 |
Cajuns | 93.2 /100 | #137 | Exceptional 37.8% |
Comanche | 91.9 /100 | #138 | Exceptional 37.7% |
Immigrants | Moldova | 91.9 /100 | #139 | Exceptional 37.7% |
Estonians | 91.7 /100 | #140 | Exceptional 37.7% |
Syrians | 90.7 /100 | #141 | Exceptional 37.6% |
Sierra Leoneans | 89.7 /100 | #142 | Excellent 37.6% |
Pakistanis | 89.5 /100 | #143 | Excellent 37.6% |
Japanese | 89.3 /100 | #144 | Excellent 37.5% |
Paiute | 89.3 /100 | #145 | Excellent 37.5% |
Immigrants | Western Europe | 88.9 /100 | #146 | Excellent 37.5% |
Brazilians | 88.7 /100 | #147 | Excellent 37.5% |
Romanians | 87.3 /100 | #148 | Excellent 37.5% |
Native Hawaiians | 85.0 /100 | #149 | Excellent 37.4% |
Tsimshian | 84.7 /100 | #150 | Excellent 37.4% |
Immigrants | Poland | 84.4 /100 | #151 | Excellent 37.3% |