Cape Verdean vs Bangladeshi Unemployment Among Ages 30 to 34 years
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Cape Verdean
Bangladeshi
Unemployment Among Ages 30 to 34 years
Unemployment Among Ages 30 to 34 years Comparison
Cape Verdeans
Bangladeshis
7.2%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
0.0/ 100
METRIC RATING
320th/ 347
METRIC RANK
5.3%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
76.6/ 100
METRIC RATING
134th/ 347
METRIC RANK
Cape Verdean vs Bangladeshi Unemployment Among Ages 30 to 34 years Correlation Chart
The statistical analysis conducted on geographies consisting of 105,621,917 people shows a significant positive correlation between the proportion of Cape Verdeans and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.625 and weighted average of 7.2%. Similarly, the statistical analysis conducted on geographies consisting of 137,750,600 people shows a poor negative correlation between the proportion of Bangladeshis and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.144 and weighted average of 5.3%, a difference of 34.4%.

Unemployment Among Ages 30 to 34 years Correlation Summary
Measurement | Cape Verdean | Bangladeshi |
Minimum | 0.60% | 1.2% |
Maximum | 79.7% | 14.2% |
Range | 79.1% | 13.0% |
Mean | 8.6% | 6.0% |
Median | 6.2% | 5.3% |
Interquartile 25% (IQ1) | 5.1% | 4.2% |
Interquartile 75% (IQ3) | 8.7% | 7.4% |
Interquartile Range (IQR) | 3.6% | 3.2% |
Standard Deviation (Sample) | 11.4% | 2.8% |
Standard Deviation (Population) | 11.3% | 2.8% |
Similar Demographics by Unemployment Among Ages 30 to 34 years
Demographics Similar to Cape Verdeans by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Cape Verdeans are Guyanese (7.2%, a difference of 0.020%), Black/African American (7.2%, a difference of 0.090%), Immigrants from Cabo Verde (7.2%, a difference of 0.19%), Immigrants from Guyana (7.2%, a difference of 0.29%), and Houma (7.2%, a difference of 0.46%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Ute | 0.0 /100 | #313 | Tragic 7.0% |
Lumbee | 0.0 /100 | #314 | Tragic 7.1% |
Aleuts | 0.0 /100 | #315 | Tragic 7.1% |
Houma | 0.0 /100 | #316 | Tragic 7.2% |
Immigrants | Cabo Verde | 0.0 /100 | #317 | Tragic 7.2% |
Blacks/African Americans | 0.0 /100 | #318 | Tragic 7.2% |
Guyanese | 0.0 /100 | #319 | Tragic 7.2% |
Cape Verdeans | 0.0 /100 | #320 | Tragic 7.2% |
Immigrants | Guyana | 0.0 /100 | #321 | Tragic 7.2% |
Marshallese | 0.0 /100 | #322 | Tragic 7.2% |
Immigrants | Yemen | 0.0 /100 | #323 | Tragic 7.3% |
Immigrants | Dominica | 0.0 /100 | #324 | Tragic 7.3% |
Apache | 0.0 /100 | #325 | Tragic 7.3% |
Dominicans | 0.0 /100 | #326 | Tragic 7.7% |
Immigrants | Dominican Republic | 0.0 /100 | #327 | Tragic 7.7% |
Demographics Similar to Bangladeshis by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Bangladeshis are Carpatho Rusyn (5.3%, a difference of 0.070%), Immigrants from Northern Europe (5.3%, a difference of 0.070%), Immigrants from Eastern Europe (5.3%, a difference of 0.080%), German (5.3%, a difference of 0.12%), and Palestinian (5.4%, a difference of 0.14%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Taiwanese | 79.4 /100 | #127 | Good 5.3% |
Immigrants | Uruguay | 79.3 /100 | #128 | Good 5.3% |
Poles | 78.8 /100 | #129 | Good 5.3% |
Germans | 77.8 /100 | #130 | Good 5.3% |
Immigrants | Eastern Europe | 77.4 /100 | #131 | Good 5.3% |
Carpatho Rusyns | 77.3 /100 | #132 | Good 5.3% |
Immigrants | Northern Europe | 77.3 /100 | #133 | Good 5.3% |
Bangladeshis | 76.6 /100 | #134 | Good 5.3% |
Palestinians | 75.1 /100 | #135 | Good 5.4% |
Pakistanis | 74.6 /100 | #136 | Good 5.4% |
Immigrants | Canada | 74.6 /100 | #137 | Good 5.4% |
Serbians | 72.9 /100 | #138 | Good 5.4% |
Lithuanians | 72.4 /100 | #139 | Good 5.4% |
Immigrants | North America | 72.2 /100 | #140 | Good 5.4% |
Immigrants | Europe | 72.1 /100 | #141 | Good 5.4% |