African In Labor Force | Age 35-44
COMPARE
African
Select to Compare
In Labor Force | Age 35-44
African In Labor Force | Age 35-44
82.9%
IN LABOR FORCE | AGE 35-44
0.0/ 100
METRIC RATING
290th/ 347
METRIC RANK
African In Labor Force | Age 35-44 Correlation Chart
The statistical analysis conducted on geographies consisting of 469,704,956 people shows a slight positive correlation between the proportion of Africans and labor force participation rate among population between the ages 35 and 44 in the United States with a correlation coefficient (R) of 0.098 and weighted average of 82.9%. On average, for every 1% (one percent) increase in Africans within a typical geography, there is an increase of 0.066% in labor force participation rate among population between the ages 35 and 44.
It is essential to understand that the correlation between the percentage of Africans and labor force participation rate among population between the ages 35 and 44 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Africans influences an upward or downward trend in the level of labor force participation rate among population between the ages 35 and 44 within an area, or if Africans simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 35 and 44 due to other factors.
Demographics Similar to Africans by In Labor Force | Age 35-44
In terms of in labor force | age 35-44, the demographic groups most similar to Africans are Chippewa (82.9%, a difference of 0.010%), Pennsylvania German (82.9%, a difference of 0.020%), Puget Sound Salish (82.9%, a difference of 0.030%), Immigrants from Belize (82.9%, a difference of 0.040%), and Fijian (82.9%, a difference of 0.050%).
| Demographics | Rating | Rank | In Labor Force | Age 35-44 |
| Immigrants from Guatemala | 0.0 /100 | #283 | Tragic 82.9% |
| Immigrants from Dominican Republic | 0.0 /100 | #284 | Tragic 82.9% |
| Fijians | 0.0 /100 | #285 | Tragic 82.9% |
| Immigrants from Bangladesh | 0.0 /100 | #286 | Tragic 82.9% |
| Immigrants from Belize | 0.0 /100 | #287 | Tragic 82.9% |
| Puget Sound Salish | 0.0 /100 | #288 | Tragic 82.9% |
| Chippewa | 0.0 /100 | #289 | Tragic 82.9% |
| Africans | 0.0 /100 | #290 | Tragic 82.9% |
| Pennsylvania Germans | 0.0 /100 | #291 | Tragic 82.9% |
| Immigrants from Latin America | 0.0 /100 | #292 | Tragic 82.8% |
| Spanish Americans | 0.0 /100 | #293 | Tragic 82.8% |
| Potawatomi | 0.0 /100 | #294 | Tragic 82.7% |
| Immigrants from Lebanon | 0.0 /100 | #295 | Tragic 82.7% |
| Mexican American Indians | 0.0 /100 | #296 | Tragic 82.6% |
| Hmong | 0.0 /100 | #297 | Tragic 82.6% |
African In Labor Force | Age 35-44 Correlation Summary
| Measurement | African Data | In Labor Force | Age 35-44 Data |
| Minimum | 0.21% | 51.4% |
| Maximum | 65.6% | 100.0% |
| Range | 65.3% | 48.6% |
| Mean | 19.2% | 81.5% |
| Median | 16.3% | 82.1% |
| Interquartile 25% (IQ1) | 8.0% | 79.0% |
| Interquartile 75% (IQ3) | 25.4% | 85.1% |
| Interquartile Range (IQR) | 17.4% | 6.1% |
| Standard Deviation (Sample) | 14.8% | 10.0% |
| Standard Deviation (Population) | 14.7% | 9.9% |
Correlation Details
| African Percentile | Sample Size | In Labor Force | Age 35-44 |
[ 0.0% - 0.5% ] 0.21% | 253,319,066 | 83.5% |
[ 0.5% - 1.0% ] 0.72% | 105,821,153 | 83.4% |
[ 1.0% - 1.5% ] 1.21% | 58,311,983 | 83.2% |
[ 1.5% - 2.0% ] 1.72% | 21,021,996 | 83.3% |
[ 2.0% - 2.5% ] 2.23% | 10,656,392 | 82.8% |
[ 2.5% - 3.0% ] 2.68% | 7,849,023 | 82.9% |
[ 3.0% - 3.5% ] 3.20% | 4,248,757 | 82.4% |
[ 3.5% - 4.0% ] 3.71% | 1,833,984 | 82.1% |
[ 4.0% - 4.5% ] 4.22% | 1,253,833 | 80.8% |
[ 4.5% - 5.0% ] 4.82% | 1,351,816 | 81.2% |
[ 5.0% - 5.5% ] 5.26% | 827,911 | 80.8% |
[ 5.5% - 6.0% ] 5.71% | 458,929 | 79.9% |
[ 6.0% - 6.5% ] 6.31% | 406,640 | 80.3% |
[ 6.5% - 7.0% ] 6.70% | 495,077 | 85.0% |
[ 7.0% - 7.5% ] 7.25% | 289,897 | 82.1% |
[ 7.5% - 8.0% ] 7.83% | 201,074 | 74.7% |
[ 8.0% - 8.5% ] 8.19% | 161,079 | 83.2% |
[ 8.5% - 9.0% ] 8.70% | 159,920 | 80.0% |
[ 9.0% - 9.5% ] 9.27% | 166,494 | 82.4% |
[ 9.5% - 10.0% ] 9.74% | 66,884 | 76.2% |
[ 10.0% - 10.5% ] 10.22% | 135,242 | 81.0% |
[ 10.5% - 11.0% ] 10.72% | 230,443 | 84.7% |
[ 11.0% - 11.5% ] 11.34% | 9,772 | 81.6% |
[ 11.5% - 12.0% ] 11.63% | 26,234 | 71.7% |
[ 12.0% - 12.5% ] 12.23% | 12,515 | 93.6% |
[ 12.5% - 13.0% ] 12.87% | 33,190 | 80.4% |
[ 13.0% - 13.5% ] 13.31% | 4,891 | 78.8% |
[ 13.5% - 14.0% ] 13.70% | 5,197 | 85.3% |
[ 14.0% - 14.5% ] 14.17% | 15,888 | 82.2% |
[ 14.5% - 15.0% ] 14.77% | 103,882 | 79.5% |
[ 15.0% - 15.5% ] 15.28% | 22,936 | 75.3% |
[ 15.5% - 16.0% ] 15.73% | 11,906 | 89.2% |
[ 16.5% - 17.0% ] 16.77% | 6,655 | 85.1% |
[ 17.0% - 17.5% ] 17.20% | 16,776 | 80.5% |
[ 17.5% - 18.0% ] 17.74% | 2,672 | 79.1% |
[ 18.0% - 18.5% ] 18.06% | 40,302 | 79.3% |
[ 18.5% - 19.0% ] 18.74% | 19,765 | 83.1% |
[ 19.0% - 19.5% ] 19.26% | 488 | 92.1% |
[ 19.5% - 20.0% ] 19.75% | 13,660 | 51.4% |
[ 20.0% - 20.5% ] 20.30% | 2,315 | 68.0% |
[ 20.5% - 21.0% ] 20.81% | 2,849 | 94.0% |
[ 21.0% - 21.5% ] 21.32% | 15,443 | 64.1% |
[ 21.5% - 22.0% ] 21.72% | 7,110 | 82.3% |
[ 22.5% - 23.0% ] 22.80% | 9,501 | 91.3% |
[ 23.5% - 24.0% ] 23.56% | 365 | 68.2% |
[ 24.0% - 24.5% ] 24.38% | 24,985 | 75.7% |
[ 24.5% - 25.0% ] 24.91% | 273 | 100.0% |
[ 25.0% - 25.5% ] 25.30% | 1,170 | 82.1% |
[ 25.5% - 26.0% ] 25.54% | 881 | 53.3% |
[ 26.0% - 26.5% ] 26.24% | 2,138 | 70.3% |
[ 30.0% - 30.5% ] 30.36% | 606 | 88.1% |
[ 31.0% - 31.5% ] 31.35% | 2,485 | 81.3% |
[ 32.5% - 33.0% ] 32.93% | 334 | 100.0% |
[ 34.0% - 34.5% ] 34.01% | 1,476 | 94.4% |
[ 34.5% - 35.0% ] 34.78% | 46 | 100.0% |
[ 35.0% - 35.5% ] 35.23% | 1,286 | 77.7% |
[ 38.0% - 38.5% ] 38.10% | 4,572 | 90.4% |
[ 40.0% - 40.5% ] 40.41% | 9,613 | 81.7% |
[ 41.5% - 42.0% ] 41.76% | 613 | 77.7% |
[ 42.0% - 42.5% ] 42.31% | 338 | 58.3% |
[ 43.0% - 43.5% ] 43.29% | 633 | 94.4% |
[ 58.0% - 58.5% ] 58.19% | 574 | 63.1% |
[ 59.0% - 59.5% ] 59.02% | 549 | 94.7% |
[ 65.5% - 66.0% ] 65.55% | 479 | 100.0% |