Bangladeshi vs German Unemployment Among Ages 30 to 34 years
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Bangladeshi
German
Unemployment Among Ages 30 to 34 years
Unemployment Among Ages 30 to 34 years Comparison
Bangladeshis
Germans
5.3%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
76.6/ 100
METRIC RATING
134th/ 347
METRIC RANK
5.3%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
77.8/ 100
METRIC RATING
130th/ 347
METRIC RANK
Bangladeshi vs German Unemployment Among Ages 30 to 34 years Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 502,645,862 people shows a mild positive correlation between the proportion of Germans and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.315 and weighted average of 5.3%, a difference of 0.12%.

Unemployment Among Ages 30 to 34 years Correlation Summary
Measurement | Bangladeshi | German |
Minimum | 1.2% | 1.9% |
Maximum | 14.2% | 54.5% |
Range | 13.0% | 52.6% |
Mean | 6.0% | 6.9% |
Median | 5.3% | 5.3% |
Interquartile 25% (IQ1) | 4.2% | 4.6% |
Interquartile 75% (IQ3) | 7.4% | 6.8% |
Interquartile Range (IQR) | 3.2% | 2.2% |
Standard Deviation (Sample) | 2.8% | 7.0% |
Standard Deviation (Population) | 2.8% | 7.0% |
Demographics Similar to Bangladeshis and Germans 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%), Palestinian (5.4%, a difference of 0.14%), and Pakistani (5.4%, a difference of 0.19%). Similarly, the demographic groups most similar to Germans are Immigrants from Eastern Europe (5.3%, a difference of 0.040%), Carpatho Rusyn (5.3%, a difference of 0.050%), Immigrants from Northern Europe (5.3%, a difference of 0.050%), Polish (5.3%, a difference of 0.10%), and Immigrants from Uruguay (5.3%, a difference of 0.16%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Immigrants | Netherlands | 81.8 /100 | #122 | Excellent 5.3% |
Immigrants | Italy | 81.1 /100 | #123 | Excellent 5.3% |
Immigrants | Brazil | 80.8 /100 | #124 | Excellent 5.3% |
Greeks | 80.4 /100 | #125 | Excellent 5.3% |
Immigrants | Sri Lanka | 80.2 /100 | #126 | Excellent 5.3% |
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% |
Immigrants | Greece | 72.0 /100 | #142 | Good 5.4% |