Subsaharan African Wage/Income Gap
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Subsaharan African
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Wage/Income Gap
Subsaharan African Wage/Income Gap
22.8%
WAGE/INCOME GAP
99.9/ 100
METRIC RATING
72nd/ 347
METRIC RANK
Subsaharan African Wage/Income Gap Correlation Chart
The statistical analysis conducted on geographies consisting of 507,315,173 people shows no correlation between the proportion of Sub-Saharan Africans and wage/income gap percentage in the United States with a correlation coefficient (R) of 0.032 and weighted average of 22.8%. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.017% in wage/income gap percentage.
It is essential to understand that the correlation between the percentage of Sub-Saharan Africans and wage/income gap percentage does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Sub-Saharan Africans influences an upward or downward trend in the level of wage/income gap percentage within an area, or if Sub-Saharan Africans simply ended up residing in those areas with higher or lower levels of wage/income gap percentage due to other factors.
Demographics Similar to Sub-Saharan Africans by Wage/Income Gap
In terms of wage/income gap, the demographic groups most similar to Sub-Saharan Africans are Immigrants from Eastern Africa (22.8%, a difference of 0.030%), Immigrants from Burma/Myanmar (22.8%, a difference of 0.11%), Immigrants from El Salvador (22.8%, a difference of 0.15%), Immigrants from Uzbekistan (22.7%, a difference of 0.31%), and Fijian (22.9%, a difference of 0.39%).
| Demographics | Rating | Rank | Wage/Income Gap |
| Guatemalans | 99.9 /100 | #65 | Exceptional 22.6% |
| Central American Indians | 99.9 /100 | #66 | Exceptional 22.7% |
| Menominee | 99.9 /100 | #67 | Exceptional 22.7% |
| Immigrants from Nigeria | 99.9 /100 | #68 | Exceptional 22.7% |
| Indonesians | 99.9 /100 | #69 | Exceptional 22.7% |
| Immigrants from Uzbekistan | 99.9 /100 | #70 | Exceptional 22.7% |
| Immigrants from El Salvador | 99.9 /100 | #71 | Exceptional 22.8% |
| Sub-Saharan Africans | 99.9 /100 | #72 | Exceptional 22.8% |
| Immigrants from Eastern Africa | 99.9 /100 | #73 | Exceptional 22.8% |
| Immigrants from Burma/Myanmar | 99.9 /100 | #74 | Exceptional 22.8% |
| Fijians | 99.9 /100 | #75 | Exceptional 22.9% |
| Ecuadorians | 99.9 /100 | #76 | Exceptional 22.9% |
| Africans | 99.9 /100 | #77 | Exceptional 22.9% |
| Nigerians | 99.9 /100 | #78 | Exceptional 23.0% |
| Immigrants from Nicaragua | 99.9 /100 | #79 | Exceptional 23.0% |
Subsaharan African Wage/Income Gap Correlation Summary
| Measurement | Subsaharan African Data | Wage/Income Gap Data |
| Minimum | 0.24% | 0.79% |
| Maximum | 59.0% | 45.6% |
| Range | 58.8% | 44.8% |
| Mean | 17.8% | 20.1% |
| Median | 15.2% | 19.9% |
| Interquartile 25% (IQ1) | 7.5% | 16.4% |
| Interquartile 75% (IQ3) | 24.2% | 23.0% |
| Interquartile Range (IQR) | 16.7% | 6.6% |
| Standard Deviation (Sample) | 13.7% | 7.4% |
| Standard Deviation (Population) | 13.5% | 7.4% |
Correlation Details
| Subsaharan African Percentile | Sample Size | Wage/Income Gap |
[ 0.0% - 0.5% ] 0.24% | 172,203,378 | 29.2% |
[ 0.5% - 1.0% ] 0.72% | 106,825,715 | 27.9% |
[ 1.0% - 1.5% ] 1.24% | 70,650,747 | 25.3% |
[ 1.5% - 2.0% ] 1.73% | 41,229,741 | 24.5% |
[ 2.0% - 2.5% ] 2.25% | 34,252,491 | 21.9% |
[ 2.5% - 3.0% ] 2.73% | 23,394,228 | 21.4% |
[ 3.0% - 3.5% ] 3.23% | 13,229,245 | 22.2% |
[ 3.5% - 4.0% ] 3.75% | 9,292,127 | 19.9% |
[ 4.0% - 4.5% ] 4.22% | 8,848,209 | 21.3% |
[ 4.5% - 5.0% ] 4.71% | 4,065,870 | 20.3% |
[ 5.0% - 5.5% ] 5.29% | 3,774,831 | 21.3% |
[ 5.5% - 6.0% ] 5.77% | 3,277,981 | 21.6% |
[ 6.0% - 6.5% ] 6.26% | 2,196,014 | 23.2% |
[ 6.5% - 7.0% ] 6.66% | 2,513,818 | 18.6% |
[ 7.0% - 7.5% ] 7.34% | 1,480,756 | 18.3% |
[ 7.5% - 8.0% ] 7.73% | 1,544,198 | 19.7% |
[ 8.0% - 8.5% ] 8.23% | 982,416 | 21.3% |
[ 8.5% - 9.0% ] 8.72% | 989,927 | 14.2% |
[ 9.0% - 9.5% ] 9.27% | 867,886 | 19.8% |
[ 9.5% - 10.0% ] 9.78% | 410,480 | 18.9% |
[ 10.0% - 10.5% ] 10.22% | 752,762 | 21.2% |
[ 10.5% - 11.0% ] 10.78% | 528,812 | 16.2% |
[ 11.0% - 11.5% ] 11.27% | 652,237 | 18.4% |
[ 11.5% - 12.0% ] 11.75% | 276,290 | 17.3% |
[ 12.0% - 12.5% ] 12.27% | 99,120 | 15.7% |
[ 12.5% - 13.0% ] 12.77% | 184,651 | 27.1% |
[ 13.0% - 13.5% ] 13.23% | 435,973 | 17.9% |
[ 13.5% - 14.0% ] 13.91% | 350,915 | 16.7% |
[ 14.0% - 14.5% ] 14.38% | 82,870 | 19.9% |
[ 14.5% - 15.0% ] 14.81% | 133,275 | 18.7% |
[ 15.0% - 15.5% ] 15.22% | 234,258 | 22.5% |
[ 15.5% - 16.0% ] 15.84% | 216,223 | 21.3% |
[ 16.0% - 16.5% ] 16.25% | 194,429 | 15.3% |
[ 16.5% - 17.0% ] 16.92% | 29,914 | 20.7% |
[ 17.0% - 17.5% ] 17.26% | 143,808 | 15.5% |
[ 17.5% - 18.0% ] 17.73% | 64,869 | 17.1% |
[ 18.0% - 18.5% ] 18.20% | 220,571 | 20.6% |
[ 18.5% - 19.0% ] 18.66% | 97,301 | 22.8% |
[ 19.0% - 19.5% ] 19.43% | 243,201 | 25.4% |
[ 19.5% - 20.0% ] 19.74% | 19,739 | 26.4% |
[ 20.0% - 20.5% ] 20.41% | 37,856 | 11.2% |
[ 20.5% - 21.0% ] 20.73% | 34,320 | 14.9% |
[ 21.0% - 21.5% ] 21.30% | 28,219 | 9.7% |
[ 21.5% - 22.0% ] 21.64% | 52,440 | 12.0% |
[ 22.5% - 23.0% ] 22.71% | 51,237 | 20.4% |
[ 23.5% - 24.0% ] 23.99% | 14,553 | 8.7% |
[ 24.0% - 24.5% ] 24.44% | 24,795 | 18.3% |
[ 24.5% - 25.0% ] 24.74% | 97 | 34.7% |
[ 26.0% - 26.5% ] 26.24% | 2,069 | 39.5% |
[ 28.0% - 28.5% ] 28.06% | 29,898 | 11.5% |
[ 30.5% - 31.0% ] 30.74% | 15,489 | 25.9% |
[ 31.0% - 31.5% ] 31.35% | 2,485 | 4.0% |
[ 32.5% - 33.0% ] 32.93% | 334 | 6.4% |
[ 34.0% - 34.5% ] 34.07% | 3,824 | 18.6% |
[ 35.0% - 35.5% ] 35.23% | 1,286 | 28.5% |
[ 40.0% - 40.5% ] 40.22% | 4,572 | 16.7% |
[ 40.5% - 41.0% ] 40.56% | 9,613 | 16.2% |
[ 41.5% - 42.0% ] 41.76% | 613 | 0.79% |
[ 49.0% - 49.5% ] 49.02% | 9,074 | 29.8% |
[ 58.0% - 58.5% ] 58.19% | 574 | 45.6% |
[ 59.0% - 59.5% ] 59.02% | 549 | 24.0% |