Marshallese vs Bangladeshi Unemployment Among Ages 30 to 34 years
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Marshallese
Bangladeshi
Unemployment Among Ages 30 to 34 years
Unemployment Among Ages 30 to 34 years Comparison
Marshallese
Bangladeshis
7.2%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
0.0/ 100
METRIC RATING
322nd/ 347
METRIC RANK
5.3%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
76.6/ 100
METRIC RATING
134th/ 347
METRIC RANK
Marshallese vs Bangladeshi Unemployment Among Ages 30 to 34 years Correlation Chart
The statistical analysis conducted on geographies consisting of 14,614,488 people shows a very strong positive correlation between the proportion of Marshallese and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.885 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 35.4%.
Unemployment Among Ages 30 to 34 years Correlation Summary
Measurement | Marshallese | Bangladeshi |
Minimum | 3.8% | 1.2% |
Maximum | 67.2% | 14.2% |
Range | 63.4% | 13.0% |
Mean | 15.1% | 6.0% |
Median | 6.8% | 5.3% |
Interquartile 25% (IQ1) | 4.9% | 4.2% |
Interquartile 75% (IQ3) | 15.3% | 7.4% |
Interquartile Range (IQR) | 10.4% | 3.2% |
Standard Deviation (Sample) | 19.0% | 2.8% |
Standard Deviation (Population) | 18.2% | 2.8% |
Similar Demographics by Unemployment Among Ages 30 to 34 years
Demographics Similar to Marshallese by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Marshallese are Immigrants from Yemen (7.3%, a difference of 0.46%), Immigrants from Guyana (7.2%, a difference of 0.50%), Cape Verdean (7.2%, a difference of 0.79%), Guyanese (7.2%, a difference of 0.81%), and Black/African American (7.2%, a difference of 0.88%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
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% |
Chippewa | 0.0 /100 | #328 | Tragic 7.8% |
Cheyenne | 0.0 /100 | #329 | Tragic 7.8% |
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% |