Maltese vs Subsaharan African Unemployment Among Ages 30 to 34 years
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Maltese
Subsaharan African
Unemployment Among Ages 30 to 34 years
Unemployment Among Ages 30 to 34 years Comparison
Maltese
Sub-Saharan Africans
5.2%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
92.3/ 100
METRIC RATING
94th/ 347
METRIC RANK
6.0%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
0.3/ 100
METRIC RATING
245th/ 347
METRIC RANK
Maltese vs Subsaharan African Unemployment Among Ages 30 to 34 years Correlation Chart
The statistical analysis conducted on geographies consisting of 123,021,177 people shows a moderate positive correlation between the proportion of Maltese and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.403 and weighted average of 5.2%. Similarly, the statistical analysis conducted on geographies consisting of 466,998,854 people shows a weak positive correlation between the proportion of Sub-Saharan Africans and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.275 and weighted average of 6.0%, a difference of 14.8%.
Unemployment Among Ages 30 to 34 years Correlation Summary
Measurement | Maltese | Subsaharan African |
Minimum | 0.40% | 1.2% |
Maximum | 44.6% | 50.0% |
Range | 44.2% | 48.8% |
Mean | 10.0% | 7.8% |
Median | 5.3% | 6.4% |
Interquartile 25% (IQ1) | 4.3% | 5.4% |
Interquartile 75% (IQ3) | 6.6% | 7.9% |
Interquartile Range (IQR) | 2.2% | 2.6% |
Standard Deviation (Sample) | 12.2% | 6.9% |
Standard Deviation (Population) | 12.0% | 6.9% |
Similar Demographics by Unemployment Among Ages 30 to 34 years
Demographics Similar to Maltese by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Maltese are Laotian (5.2%, a difference of 0.0%), Immigrants from Argentina (5.2%, a difference of 0.050%), Iraqi (5.2%, a difference of 0.070%), Kenyan (5.2%, a difference of 0.070%), and Immigrants from Romania (5.2%, a difference of 0.12%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Bhutanese | 93.5 /100 | #87 | Exceptional 5.2% |
Immigrants | Kenya | 93.3 /100 | #88 | Exceptional 5.2% |
Immigrants | Sweden | 93.3 /100 | #89 | Exceptional 5.2% |
Immigrants | Romania | 92.8 /100 | #90 | Exceptional 5.2% |
Iraqis | 92.6 /100 | #91 | Exceptional 5.2% |
Immigrants | Argentina | 92.5 /100 | #92 | Exceptional 5.2% |
Laotians | 92.4 /100 | #93 | Exceptional 5.2% |
Maltese | 92.3 /100 | #94 | Exceptional 5.2% |
Kenyans | 92.1 /100 | #95 | Exceptional 5.2% |
Mongolians | 91.7 /100 | #96 | Exceptional 5.2% |
Europeans | 91.7 /100 | #97 | Exceptional 5.2% |
Immigrants | North Macedonia | 90.9 /100 | #98 | Exceptional 5.2% |
Immigrants | Ireland | 90.6 /100 | #99 | Exceptional 5.2% |
Immigrants | Czechoslovakia | 89.5 /100 | #100 | Excellent 5.3% |
British | 89.1 /100 | #101 | Excellent 5.3% |
Demographics Similar to Sub-Saharan Africans by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Sub-Saharan Africans are Immigrants from Micronesia (6.0%, a difference of 0.020%), Immigrants from Liberia (6.0%, a difference of 0.18%), Ghanaian (6.0%, a difference of 0.18%), Guatemalan (6.0%, a difference of 0.23%), and Nigerian (6.0%, a difference of 0.25%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Mexican American Indians | 0.6 /100 | #238 | Tragic 5.9% |
Immigrants | Nigeria | 0.6 /100 | #239 | Tragic 6.0% |
Salvadorans | 0.5 /100 | #240 | Tragic 6.0% |
Immigrants | El Salvador | 0.5 /100 | #241 | Tragic 6.0% |
Guatemalans | 0.4 /100 | #242 | Tragic 6.0% |
Immigrants | Liberia | 0.4 /100 | #243 | Tragic 6.0% |
Immigrants | Micronesia | 0.3 /100 | #244 | Tragic 6.0% |
Sub-Saharan Africans | 0.3 /100 | #245 | Tragic 6.0% |
Ghanaians | 0.3 /100 | #246 | Tragic 6.0% |
Nigerians | 0.3 /100 | #247 | Tragic 6.0% |
Immigrants | Guatemala | 0.3 /100 | #248 | Tragic 6.0% |
Hondurans | 0.3 /100 | #249 | Tragic 6.0% |
Immigrants | Honduras | 0.3 /100 | #250 | Tragic 6.0% |
Tlingit-Haida | 0.2 /100 | #251 | Tragic 6.0% |
Potawatomi | 0.2 /100 | #252 | Tragic 6.0% |