Latvian vs Moroccan In Labor Force | Age 16-19
COMPARE
Latvian
Moroccan
In Labor Force | Age 16-19
In Labor Force | Age 16-19 Comparison
Latvians
Moroccans
38.9%
IN LABOR FORCE | AGE 16-19
99.4/ 100
METRIC RATING
96th/ 347
METRIC RANK
35.7%
IN LABOR FORCE | AGE 16-19
12.7/ 100
METRIC RATING
209th/ 347
METRIC RANK
Latvian vs Moroccan In Labor Force | Age 16-19 Correlation Chart
The statistical analysis conducted on geographies consisting of 220,454,154 people shows a moderate positive correlation between the proportion of Latvians and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.487 and weighted average of 38.9%. Similarly, the statistical analysis conducted on geographies consisting of 201,678,559 people shows a weak positive correlation between the proportion of Moroccans and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.265 and weighted average of 35.7%, a difference of 9.0%.
In Labor Force | Age 16-19 Correlation Summary
Measurement | Latvian | Moroccan |
Minimum | 8.4% | 12.5% |
Maximum | 100.0% | 75.8% |
Range | 91.6% | 63.3% |
Mean | 50.8% | 39.6% |
Median | 41.8% | 36.4% |
Interquartile 25% (IQ1) | 37.8% | 33.0% |
Interquartile 75% (IQ3) | 59.2% | 42.9% |
Interquartile Range (IQR) | 21.4% | 9.9% |
Standard Deviation (Sample) | 23.9% | 14.1% |
Standard Deviation (Population) | 23.6% | 13.8% |
Similar Demographics by In Labor Force | Age 16-19
Demographics Similar to Latvians by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to Latvians are Immigrants from North America (38.9%, a difference of 0.030%), Greek (38.9%, a difference of 0.040%), Ugandan (38.9%, a difference of 0.050%), Immigrants from North Macedonia (38.9%, a difference of 0.070%), and Immigrants from Canada (38.9%, a difference of 0.12%).
Demographics | Rating | Rank | In Labor Force | Age 16-19 |
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% |
Zimbabweans | 99.1 /100 | #102 | Exceptional 38.7% |
Immigrants | Cameroon | 99.0 /100 | #103 | Exceptional 38.7% |
Demographics Similar to Moroccans by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to Moroccans are Korean (35.7%, a difference of 0.070%), Immigrants from Switzerland (35.6%, a difference of 0.10%), Mexican (35.6%, a difference of 0.10%), Immigrants from Eastern Europe (35.8%, a difference of 0.19%), and South American Indian (35.8%, a difference of 0.21%).
Demographics | Rating | Rank | In Labor Force | Age 16-19 |
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% |