Immigrants from Canada vs Korean In Labor Force | Age 16-19
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Immigrants from Canada
Korean
In Labor Force | Age 16-19
In Labor Force | Age 16-19 Comparison
Immigrants from Canada
Koreans
38.9%
IN LABOR FORCE | AGE 16-19
99.4/ 100
METRIC RATING
94th/ 347
METRIC RANK
35.7%
IN LABOR FORCE | AGE 16-19
13.3/ 100
METRIC RATING
208th/ 347
METRIC RANK
Immigrants from Canada vs Korean In Labor Force | Age 16-19 Correlation Chart
The statistical analysis conducted on geographies consisting of 458,098,188 people shows a moderate positive correlation between the proportion of Immigrants from Canada and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.467 and weighted average of 38.9%. Similarly, the statistical analysis conducted on geographies consisting of 509,513,033 people shows no correlation between the proportion of Koreans and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of -0.017 and weighted average of 35.7%, a difference of 9.0%.
In Labor Force | Age 16-19 Correlation Summary
Measurement | Immigrants from Canada | Korean |
Minimum | 14.7% | 10.4% |
Maximum | 100.0% | 61.1% |
Range | 85.3% | 50.7% |
Mean | 45.9% | 35.1% |
Median | 41.0% | 34.4% |
Interquartile 25% (IQ1) | 32.1% | 30.5% |
Interquartile 75% (IQ3) | 56.8% | 39.0% |
Interquartile Range (IQR) | 24.7% | 8.4% |
Standard Deviation (Sample) | 21.9% | 9.0% |
Standard Deviation (Population) | 21.6% | 8.9% |
Similar Demographics by In Labor Force | Age 16-19
Demographics Similar to Immigrants from Canada by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to Immigrants from Canada are Blackfeet (38.9%, a difference of 0.010%), Osage (39.0%, a difference of 0.060%), Immigrants from North America (38.9%, a difference of 0.090%), Latvian (38.9%, a difference of 0.12%), and Spanish American (39.0%, a difference of 0.15%).
Demographics | Rating | Rank | In Labor Force | Age 16-19 |
Immigrants | Germany | 99.6 /100 | #87 | Exceptional 39.1% |
Puget Sound Salish | 99.6 /100 | #88 | Exceptional 39.1% |
Alaska Natives | 99.6 /100 | #89 | Exceptional 39.1% |
Immigrants | Burma/Myanmar | 99.5 /100 | #90 | Exceptional 39.0% |
Spanish Americans | 99.5 /100 | #91 | Exceptional 39.0% |
Osage | 99.4 /100 | #92 | Exceptional 39.0% |
Blackfeet | 99.4 /100 | #93 | Exceptional 38.9% |
Immigrants | Canada | 99.4 /100 | #94 | Exceptional 38.9% |
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% |
Demographics Similar to Koreans by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to Koreans are Moroccan (35.7%, a difference of 0.070%), Immigrants from Eastern Europe (35.8%, a difference of 0.12%), South American Indian (35.8%, a difference of 0.14%), Chilean (35.8%, a difference of 0.14%), and Immigrants from Albania (35.8%, a difference of 0.17%).
Demographics | Rating | Rank | In Labor Force | Age 16-19 |
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% |