French vs Mexican American Indian In Labor Force | Age 16-19
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French
Mexican American Indian
In Labor Force | Age 16-19
In Labor Force | Age 16-19 Comparison
French
Mexican American Indians
42.1%
IN LABOR FORCE | AGE 16-19
100.0/ 100
METRIC RATING
29th/ 347
METRIC RANK
36.0%
IN LABOR FORCE | AGE 16-19
21.1/ 100
METRIC RATING
196th/ 347
METRIC RANK
French vs Mexican American Indian In Labor Force | Age 16-19 Correlation Chart
The statistical analysis conducted on geographies consisting of 568,177,224 people shows a strong positive correlation between the proportion of French and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.703 and weighted average of 42.1%. Similarly, the statistical analysis conducted on geographies consisting of 317,325,894 people shows a substantial positive correlation between the proportion of Mexican American Indians and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.553 and weighted average of 36.0%, a difference of 17.1%.
In Labor Force | Age 16-19 Correlation Summary
Measurement | French | Mexican American Indian |
Minimum | 23.1% | 16.6% |
Maximum | 100.0% | 100.0% |
Range | 76.9% | 83.4% |
Mean | 54.6% | 43.7% |
Median | 47.0% | 39.4% |
Interquartile 25% (IQ1) | 43.0% | 33.9% |
Interquartile 75% (IQ3) | 59.8% | 46.8% |
Interquartile Range (IQR) | 16.9% | 12.9% |
Standard Deviation (Sample) | 20.0% | 18.8% |
Standard Deviation (Population) | 19.9% | 18.6% |
Similar Demographics by In Labor Force | Age 16-19
Demographics Similar to French by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to French are Polish (42.1%, a difference of 0.050%), Scottish (42.0%, a difference of 0.28%), Welsh (42.3%, a difference of 0.35%), Irish (42.0%, a difference of 0.35%), and Czechoslovakian (41.9%, a difference of 0.55%).
Demographics | Rating | Rank | In Labor Force | Age 16-19 |
Sudanese | 100.0 /100 | #22 | Exceptional 42.9% |
Slovaks | 100.0 /100 | #23 | Exceptional 42.6% |
Bangladeshis | 100.0 /100 | #24 | Exceptional 42.5% |
German Russians | 100.0 /100 | #25 | Exceptional 42.4% |
English | 100.0 /100 | #26 | Exceptional 42.4% |
Welsh | 100.0 /100 | #27 | Exceptional 42.3% |
Poles | 100.0 /100 | #28 | Exceptional 42.1% |
French | 100.0 /100 | #29 | Exceptional 42.1% |
Scottish | 100.0 /100 | #30 | Exceptional 42.0% |
Irish | 100.0 /100 | #31 | Exceptional 42.0% |
Czechoslovakians | 100.0 /100 | #32 | Exceptional 41.9% |
Liberians | 100.0 /100 | #33 | Exceptional 41.8% |
Immigrants | Bosnia and Herzegovina | 100.0 /100 | #34 | Exceptional 41.8% |
Yugoslavians | 100.0 /100 | #35 | Exceptional 41.8% |
Immigrants | Azores | 100.0 /100 | #36 | Exceptional 41.7% |
Demographics Similar to Mexican American Indians by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to Mexican American Indians are Immigrants from Serbia (36.0%, a difference of 0.010%), Immigrants from Northern Africa (35.9%, a difference of 0.090%), Immigrants from Norway (35.9%, a difference of 0.10%), Bolivian (36.0%, a difference of 0.16%), and Immigrants from Sweden (35.9%, a difference of 0.18%).
Demographics | Rating | Rank | In Labor Force | Age 16-19 |
Immigrants | Hungary | 28.8 /100 | #189 | Fair 36.2% |
Panamanians | 28.6 /100 | #190 | Fair 36.1% |
Immigrants | Croatia | 27.5 /100 | #191 | Fair 36.1% |
Afghans | 25.7 /100 | #192 | Fair 36.1% |
Immigrants | Denmark | 25.0 /100 | #193 | Fair 36.1% |
Nigerians | 24.6 /100 | #194 | Fair 36.1% |
Bolivians | 23.3 /100 | #195 | Fair 36.0% |
Mexican American Indians | 21.1 /100 | #196 | Fair 36.0% |
Immigrants | Serbia | 21.0 /100 | #197 | Fair 36.0% |
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% |