Bangladeshi Unemployment Among Ages 30 to 34 years
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Unemployment Among Ages 30 to 34 years
Bangladeshi Unemployment Among Ages 30 to 34 years
5.3%
UNEMPLOYMENT | 30 TO 34 YEARS
76.6/ 100
METRIC RATING
134th/ 347
METRIC RANK
Bangladeshi 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%. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.051% in unemployment rate among population between the ages 30 and 34.
It is essential to understand that the correlation between the percentage of Bangladeshis and unemployment rate among population between the ages 30 and 34 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Bangladeshis influences an upward or downward trend in the level of unemployment rate among population between the ages 30 and 34 within an area, or if Bangladeshis simply ended up residing in those areas with higher or lower levels of unemployment rate among population between the ages 30 and 34 due to other factors.
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 from 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 from Eastern Europe | 77.4 /100 | #131 | Good 5.3% |
| Carpatho Rusyns | 77.3 /100 | #132 | Good 5.3% |
| Immigrants from 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 from 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 from North America | 72.2 /100 | #140 | Good 5.4% |
| Immigrants from Europe | 72.1 /100 | #141 | Good 5.4% |
Bangladeshi Unemployment Among Ages 30 to 34 years Correlation Summary
| Measurement | Bangladeshi Data | Unemployment Among Ages 30 to 34 years Data |
| Minimum | 0.060% | 1.2% |
| Maximum | 40.7% | 14.2% |
| Range | 40.7% | 13.0% |
| Mean | 9.6% | 6.0% |
| Median | 8.0% | 5.3% |
| Interquartile 25% (IQ1) | 4.1% | 4.2% |
| Interquartile 75% (IQ3) | 13.3% | 7.4% |
| Interquartile Range (IQR) | 9.2% | 3.2% |
| Standard Deviation (Sample) | 7.8% | 2.8% |
| Standard Deviation (Population) | 7.8% | 2.8% |
Correlation Details
| Bangladeshi Percentile | Sample Size | Unemployment Among Ages 30 to 34 years |
[ 0.0% - 0.5% ] 0.060% | 113,017,703 | 5.2% |
[ 0.0% - 0.5% ] 0.44% | 8,100,533 | 5.4% |
[ 0.5% - 1.0% ] 0.80% | 3,213,272 | 5.2% |
[ 1.0% - 1.5% ] 1.16% | 1,697,407 | 5.9% |
[ 1.0% - 1.5% ] 1.45% | 1,827,751 | 5.1% |
[ 1.5% - 2.0% ] 1.75% | 2,065,322 | 5.2% |
[ 2.0% - 2.5% ] 2.04% | 1,134,572 | 5.5% |
[ 2.0% - 2.5% ] 2.48% | 670,969 | 5.5% |
[ 2.5% - 3.0% ] 2.73% | 569,930 | 4.0% |
[ 3.0% - 3.5% ] 3.13% | 432,854 | 4.9% |
[ 3.0% - 3.5% ] 3.47% | 898,418 | 5.5% |
[ 3.5% - 4.0% ] 3.74% | 265,318 | 7.4% |
[ 4.0% - 4.5% ] 4.10% | 524,243 | 4.3% |
[ 4.0% - 4.5% ] 4.41% | 274,156 | 5.2% |
[ 4.5% - 5.0% ] 4.79% | 25,228 | 10.9% |
[ 4.5% - 5.0% ] 4.98% | 753,605 | 7.3% |
[ 5.0% - 5.5% ] 5.48% | 154,512 | 7.5% |
[ 5.5% - 6.0% ] 5.77% | 106,494 | 3.3% |
[ 6.0% - 6.5% ] 6.13% | 167,697 | 8.2% |
[ 6.0% - 6.5% ] 6.44% | 59,117 | 10.1% |
[ 6.5% - 7.0% ] 6.76% | 147,120 | 7.0% |
[ 6.5% - 7.0% ] 6.99% | 50,484 | 9.8% |
[ 7.0% - 7.5% ] 7.28% | 7,349 | 11.9% |
[ 7.5% - 8.0% ] 7.69% | 30,625 | 5.3% |
[ 7.5% - 8.0% ] 7.92% | 42,735 | 3.0% |
[ 8.0% - 8.5% ] 8.18% | 52,886 | 10.9% |
[ 8.5% - 9.0% ] 8.52% | 9,748 | 14.2% |
[ 9.0% - 9.5% ] 9.03% | 142,832 | 8.9% |
[ 9.0% - 9.5% ] 9.40% | 46,080 | 2.7% |
[ 9.5% - 10.0% ] 9.63% | 134,429 | 5.7% |
[ 9.5% - 10.0% ] 9.96% | 134,205 | 3.7% |
[ 10.0% - 10.5% ] 10.33% | 63,402 | 4.2% |
[ 10.5% - 11.0% ] 10.72% | 70,827 | 10.2% |
[ 10.5% - 11.0% ] 10.85% | 31,292 | 5.4% |
[ 11.0% - 11.5% ] 11.27% | 308,806 | 3.2% |
[ 11.5% - 12.0% ] 11.89% | 32,912 | 4.4% |
[ 12.5% - 13.0% ] 12.76% | 84,951 | 3.3% |
[ 13.0% - 13.5% ] 13.26% | 2,006 | 5.5% |
[ 13.0% - 13.5% ] 13.48% | 13,459 | 2.6% |
[ 13.5% - 14.0% ] 13.87% | 94,641 | 5.1% |
[ 15.0% - 15.5% ] 15.04% | 13,116 | 5.8% |
[ 15.0% - 15.5% ] 15.39% | 132,060 | 2.7% |
[ 16.0% - 16.5% ] 16.48% | 6,790 | 5.3% |
[ 16.5% - 17.0% ] 16.66% | 34,220 | 3.9% |
[ 18.0% - 18.5% ] 18.23% | 7,581 | 11.8% |
[ 18.0% - 18.5% ] 18.31% | 17,716 | 5.2% |
[ 24.5% - 25.0% ] 24.55% | 1,218 | 3.4% |
[ 25.5% - 26.0% ] 25.55% | 57,662 | 1.2% |
[ 26.0% - 26.5% ] 26.16% | 19,613 | 8.3% |
[ 40.5% - 41.0% ] 40.74% | 734 | 4.9% |