Subsaharan African Unemployment Among Seniors over 65 years
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Unemployment Among Seniors over 65 years
Subsaharan African Unemployment Among Seniors over 65 years
5.2%
UNEMPLOYMENT | SENIORS > 65
17.1/ 100
METRIC RATING
203rd/ 347
METRIC RANK
Subsaharan African Unemployment Among Seniors over 65 years Correlation Chart
The statistical analysis conducted on geographies consisting of 436,089,734 people shows a moderate positive correlation between the proportion of Sub-Saharan Africans and unemployment rate amomg seniors over the age of 65 in the United States with a correlation coefficient (R) of 0.487 and weighted average of 5.2%. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.19% in unemployment rate amomg seniors over the age of 65.
It is essential to understand that the correlation between the percentage of Sub-Saharan Africans and unemployment rate amomg seniors over the age of 65 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 unemployment rate amomg seniors over the age of 65 within an area, or if Sub-Saharan Africans simply ended up residing in those areas with higher or lower levels of unemployment rate amomg seniors over the age of 65 due to other factors.
Demographics Similar to Sub-Saharan Africans by Unemployment Among Seniors over 65 years
In terms of unemployment among seniors over 65 years, the demographic groups most similar to Sub-Saharan Africans are Immigrants from China (5.2%, a difference of 0.010%), Immigrants from Northern Africa (5.2%, a difference of 0.030%), Laotian (5.2%, a difference of 0.060%), Immigrants from Pakistan (5.2%, a difference of 0.070%), and Immigrants from Europe (5.2%, a difference of 0.10%).
Demographics | Rating | Rank | Unemployment Among Seniors over 65 years |
Immigrants from Poland | 24.3 /100 | #196 | Fair 5.2% |
Guamanians/Chamorros | 22.5 /100 | #197 | Fair 5.2% |
Maltese | 19.6 /100 | #198 | Poor 5.2% |
Immigrants from Europe | 19.0 /100 | #199 | Poor 5.2% |
Immigrants from Pakistan | 18.4 /100 | #200 | Poor 5.2% |
Laotians | 18.1 /100 | #201 | Poor 5.2% |
Immigrants from Northern Africa | 17.7 /100 | #202 | Poor 5.2% |
Sub-Saharan Africans | 17.1 /100 | #203 | Poor 5.2% |
Immigrants from China | 16.9 /100 | #204 | Poor 5.2% |
South American Indians | 15.3 /100 | #205 | Poor 5.2% |
German Russians | 14.7 /100 | #206 | Poor 5.2% |
Immigrants from Philippines | 13.2 /100 | #207 | Poor 5.2% |
Uruguayans | 12.6 /100 | #208 | Poor 5.2% |
Alsatians | 11.4 /100 | #209 | Poor 5.2% |
Immigrants from Uzbekistan | 10.7 /100 | #210 | Poor 5.2% |
Subsaharan African Unemployment Among Seniors over 65 years Correlation Summary
Measurement | Subsaharan African Data | Unemployment Among Seniors over 65 years Data |
Minimum | 0.24% | 0.70% |
Maximum | 49.0% | 24.3% |
Range | 48.8% | 23.6% |
Mean | 14.5% | 6.5% |
Median | 13.2% | 5.3% |
Interquartile 25% (IQ1) | 6.4% | 4.7% |
Interquartile 75% (IQ3) | 20.0% | 7.4% |
Interquartile Range (IQR) | 13.6% | 2.7% |
Standard Deviation (Sample) | 10.3% | 4.0% |
Standard Deviation (Population) | 10.2% | 3.9% |
Correlation Details
Subsaharan African Percentile | Sample Size | Unemployment Among Seniors over 65 years |
[ 0.0% - 0.5% ] 0.24% | 139,871,398 | 4.9% |
[ 0.5% - 1.0% ] 0.73% | 92,355,685 | 4.9% |
[ 1.0% - 1.5% ] 1.24% | 62,639,278 | 5.1% |
[ 1.5% - 2.0% ] 1.73% | 36,276,361 | 5.0% |
[ 2.0% - 2.5% ] 2.25% | 31,478,743 | 5.3% |
[ 2.5% - 3.0% ] 2.72% | 21,632,063 | 5.1% |
[ 3.0% - 3.5% ] 3.23% | 11,653,627 | 5.2% |
[ 3.5% - 4.0% ] 3.75% | 8,410,553 | 5.3% |
[ 4.0% - 4.5% ] 4.22% | 7,959,090 | 5.0% |
[ 4.5% - 5.0% ] 4.71% | 3,561,158 | 5.5% |
[ 5.0% - 5.5% ] 5.30% | 3,221,337 | 4.7% |
[ 5.5% - 6.0% ] 5.78% | 2,854,227 | 4.9% |
[ 6.0% - 6.5% ] 6.25% | 1,899,103 | 6.0% |
[ 6.5% - 7.0% ] 6.65% | 2,268,444 | 4.3% |
[ 7.0% - 7.5% ] 7.35% | 1,314,417 | 4.7% |
[ 7.5% - 8.0% ] 7.73% | 1,415,707 | 5.6% |
[ 8.0% - 8.5% ] 8.21% | 751,597 | 6.8% |
[ 8.5% - 9.0% ] 8.73% | 875,230 | 4.8% |
[ 9.0% - 9.5% ] 9.27% | 781,221 | 5.3% |
[ 9.5% - 10.0% ] 9.80% | 326,658 | 4.2% |
[ 10.0% - 10.5% ] 10.23% | 658,359 | 4.2% |
[ 10.5% - 11.0% ] 10.81% | 382,872 | 8.6% |
[ 11.0% - 11.5% ] 11.28% | 561,042 | 5.8% |
[ 11.5% - 12.0% ] 11.71% | 183,664 | 8.4% |
[ 12.0% - 12.5% ] 12.22% | 72,848 | 9.6% |
[ 12.5% - 13.0% ] 12.77% | 171,704 | 5.6% |
[ 13.0% - 13.5% ] 13.23% | 433,934 | 6.5% |
[ 13.5% - 14.0% ] 13.92% | 335,585 | 7.3% |
[ 14.0% - 14.5% ] 14.38% | 70,853 | 11.2% |
[ 14.5% - 15.0% ] 14.90% | 85,509 | 3.6% |
[ 15.0% - 15.5% ] 15.22% | 218,342 | 4.7% |
[ 15.5% - 16.0% ] 15.84% | 204,356 | 7.0% |
[ 16.0% - 16.5% ] 16.26% | 187,796 | 7.5% |
[ 16.5% - 17.0% ] 16.92% | 21,648 | 3.3% |
[ 17.0% - 17.5% ] 17.26% | 142,684 | 12.6% |
[ 17.5% - 18.0% ] 17.73% | 63,227 | 5.9% |
[ 18.0% - 18.5% ] 18.20% | 186,411 | 4.3% |
[ 18.5% - 19.0% ] 18.65% | 65,219 | 4.8% |
[ 19.0% - 19.5% ] 19.43% | 241,617 | 3.7% |
[ 19.5% - 20.0% ] 19.63% | 11,757 | 16.3% |
[ 20.0% - 20.5% ] 20.42% | 33,450 | 4.5% |
[ 20.5% - 21.0% ] 20.72% | 30,297 | 6.4% |
[ 21.0% - 21.5% ] 21.42% | 10,482 | 12.3% |
[ 21.5% - 22.0% ] 21.63% | 31,018 | 9.2% |
[ 22.5% - 23.0% ] 22.68% | 36,690 | 2.3% |
[ 23.5% - 24.0% ] 23.99% | 14,553 | 0.70% |
[ 24.0% - 24.5% ] 24.44% | 24,795 | 2.1% |
[ 28.0% - 28.5% ] 28.02% | 27,049 | 1.2% |
[ 30.0% - 30.5% ] 30.36% | 606 | 14.3% |
[ 30.5% - 31.0% ] 30.74% | 15,489 | 6.8% |
[ 34.0% - 34.5% ] 34.01% | 1,476 | 8.4% |
[ 40.5% - 41.0% ] 40.56% | 9,613 | 11.3% |
[ 49.0% - 49.5% ] 49.01% | 8,892 | 24.3% |