Pima vs Subsaharan African In Labor Force | Age 30-34
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Pima
Subsaharan African
In Labor Force | Age 30-34
In Labor Force | Age 30-34 Comparison
Pima
Sub-Saharan Africans
79.0%
IN LABOR FORCE | AGE 30-34
0.0/ 100
METRIC RATING
338th/ 347
METRIC RANK
84.5%
IN LABOR FORCE | AGE 30-34
19.0/ 100
METRIC RATING
200th/ 347
METRIC RANK
Pima vs Subsaharan African In Labor Force | Age 30-34 Correlation Chart
The statistical analysis conducted on geographies consisting of 61,528,436 people shows no correlation between the proportion of Pima and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.022 and weighted average of 79.0%. Similarly, the statistical analysis conducted on geographies consisting of 507,574,791 people shows a mild negative correlation between the proportion of Sub-Saharan Africans and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.395 and weighted average of 84.5%, a difference of 6.9%.
In Labor Force | Age 30-34 Correlation Summary
Measurement | Pima | Subsaharan African |
Minimum | 46.4% | 48.6% |
Maximum | 100.0% | 100.0% |
Range | 53.6% | 51.4% |
Mean | 79.8% | 82.8% |
Median | 81.6% | 84.3% |
Interquartile 25% (IQ1) | 71.6% | 80.3% |
Interquartile 75% (IQ3) | 95.0% | 86.1% |
Interquartile Range (IQR) | 23.4% | 5.8% |
Standard Deviation (Sample) | 16.2% | 10.6% |
Standard Deviation (Population) | 15.9% | 10.5% |
Similar Demographics by In Labor Force | Age 30-34
Demographics Similar to Pima by In Labor Force | Age 30-34
In terms of in labor force | age 30-34, the demographic groups most similar to Pima are Apache (79.0%, a difference of 0.030%), Yakama (79.1%, a difference of 0.12%), Ute (78.9%, a difference of 0.13%), Native/Alaskan (79.2%, a difference of 0.16%), and Marshallese (79.2%, a difference of 0.24%).
Demographics | Rating | Rank | In Labor Force | Age 30-34 |
Houma | 0.0 /100 | #331 | Tragic 79.9% |
Kiowa | 0.0 /100 | #332 | Tragic 79.8% |
Inupiat | 0.0 /100 | #333 | Tragic 79.7% |
Hopi | 0.0 /100 | #334 | Tragic 79.3% |
Marshallese | 0.0 /100 | #335 | Tragic 79.2% |
Natives/Alaskans | 0.0 /100 | #336 | Tragic 79.2% |
Yakama | 0.0 /100 | #337 | Tragic 79.1% |
Pima | 0.0 /100 | #338 | Tragic 79.0% |
Apache | 0.0 /100 | #339 | Tragic 79.0% |
Ute | 0.0 /100 | #340 | Tragic 78.9% |
Immigrants | Yemen | 0.0 /100 | #341 | Tragic 78.2% |
Tohono O'odham | 0.0 /100 | #342 | Tragic 77.7% |
Lumbee | 0.0 /100 | #343 | Tragic 77.3% |
Yuman | 0.0 /100 | #344 | Tragic 77.1% |
Yup'ik | 0.0 /100 | #345 | Tragic 76.4% |
Demographics Similar to Sub-Saharan Africans by In Labor Force | Age 30-34
In terms of in labor force | age 30-34, the demographic groups most similar to Sub-Saharan Africans are Immigrants from Thailand (84.5%, a difference of 0.0%), Dutch (84.5%, a difference of 0.010%), Trinidadian and Tobagonian (84.5%, a difference of 0.010%), Immigrants from West Indies (84.5%, a difference of 0.010%), and Immigrants from Syria (84.5%, a difference of 0.030%).
Demographics | Rating | Rank | In Labor Force | Age 30-34 |
Immigrants | Costa Rica | 23.9 /100 | #193 | Fair 84.5% |
Immigrants | Afghanistan | 23.5 /100 | #194 | Fair 84.5% |
Koreans | 23.2 /100 | #195 | Fair 84.5% |
British | 22.9 /100 | #196 | Fair 84.5% |
Immigrants | Syria | 21.9 /100 | #197 | Fair 84.5% |
Dutch | 20.2 /100 | #198 | Fair 84.5% |
Immigrants | Thailand | 19.1 /100 | #199 | Poor 84.5% |
Sub-Saharan Africans | 19.0 /100 | #200 | Poor 84.5% |
Trinidadians and Tobagonians | 18.2 /100 | #201 | Poor 84.5% |
Immigrants | West Indies | 18.1 /100 | #202 | Poor 84.5% |
Canadians | 15.4 /100 | #203 | Poor 84.4% |
Ecuadorians | 14.2 /100 | #204 | Poor 84.4% |
French | 13.8 /100 | #205 | Poor 84.4% |
Lebanese | 10.6 /100 | #206 | Poor 84.4% |
Bangladeshis | 9.4 /100 | #207 | Tragic 84.3% |