Bangladeshi Wage/Income Gap
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Bangladeshi
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Wage/Income Gap
Bangladeshi Wage/Income Gap
22.2%
WAGE/INCOME GAP
100.0/ 100
METRIC RATING
53rd/ 347
METRIC RANK
Bangladeshi Wage/Income Gap Correlation Chart
The statistical analysis conducted on geographies consisting of 141,421,838 people shows a mild negative correlation between the proportion of Bangladeshis and wage/income gap percentage in the United States with a correlation coefficient (R) of -0.392 and weighted average of 22.2%. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.24% in wage/income gap percentage.
It is essential to understand that the correlation between the percentage of Bangladeshis and wage/income gap percentage 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 wage/income gap percentage within an area, or if Bangladeshis simply ended up residing in those areas with higher or lower levels of wage/income gap percentage due to other factors.
Demographics Similar to Bangladeshis by Wage/Income Gap
In terms of wage/income gap, the demographic groups most similar to Bangladeshis are Immigrants from Cameroon (22.2%, a difference of 0.010%), Tohono O'odham (22.1%, a difference of 0.10%), Nepalese (22.2%, a difference of 0.23%), Immigrants from Western Africa (22.0%, a difference of 0.53%), and Immigrants from Zaire (22.3%, a difference of 0.63%).
| Demographics | Rating | Rank | Wage/Income Gap |
| Immigrants from Ethiopia | 100.0 /100 | #46 | Exceptional 21.6% |
| Immigrants from Congo | 100.0 /100 | #47 | Exceptional 21.7% |
| Blacks/African Americans | 100.0 /100 | #48 | Exceptional 21.7% |
| Ethiopians | 100.0 /100 | #49 | Exceptional 21.8% |
| Immigrants from Western Africa | 100.0 /100 | #50 | Exceptional 22.0% |
| Tohono O'odham | 100.0 /100 | #51 | Exceptional 22.1% |
| Immigrants from Cameroon | 100.0 /100 | #52 | Exceptional 22.2% |
| Bangladeshis | 100.0 /100 | #53 | Exceptional 22.2% |
| Nepalese | 100.0 /100 | #54 | Exceptional 22.2% |
| Immigrants from Zaire | 100.0 /100 | #55 | Exceptional 22.3% |
| Immigrants from Ghana | 100.0 /100 | #56 | Exceptional 22.3% |
| Ghanaians | 100.0 /100 | #57 | Exceptional 22.3% |
| Immigrants from Cuba | 100.0 /100 | #58 | Exceptional 22.4% |
| Navajo | 100.0 /100 | #59 | Exceptional 22.4% |
| Immigrants from Middle Africa | 100.0 /100 | #60 | Exceptional 22.4% |
Bangladeshi Wage/Income Gap Correlation Summary
| Measurement | Bangladeshi Data | Wage/Income Gap Data |
| Minimum | 0.061% | 5.5% |
| Maximum | 65.2% | 37.6% |
| Range | 65.2% | 32.1% |
| Mean | 11.3% | 21.1% |
| Median | 9.2% | 21.8% |
| Interquartile 25% (IQ1) | 4.6% | 16.2% |
| Interquartile 75% (IQ3) | 14.7% | 25.4% |
| Interquartile Range (IQR) | 10.1% | 9.2% |
| Standard Deviation (Sample) | 10.7% | 6.5% |
| Standard Deviation (Population) | 10.6% | 6.5% |
Correlation Details
| Bangladeshi Percentile | Sample Size | Wage/Income Gap |
[ 0.0% - 0.5% ] 0.061% | 114,902,175 | 23.8% |
[ 0.0% - 0.5% ] 0.45% | 8,754,866 | 27.8% |
[ 0.5% - 1.0% ] 0.80% | 3,567,117 | 27.1% |
[ 1.0% - 1.5% ] 1.16% | 1,839,916 | 26.8% |
[ 1.0% - 1.5% ] 1.45% | 1,972,894 | 24.1% |
[ 1.5% - 2.0% ] 1.75% | 2,127,658 | 20.7% |
[ 2.0% - 2.5% ] 2.04% | 1,193,350 | 21.9% |
[ 2.0% - 2.5% ] 2.47% | 721,978 | 26.0% |
[ 2.5% - 3.0% ] 2.73% | 624,931 | 25.2% |
[ 3.0% - 3.5% ] 3.13% | 471,590 | 28.9% |
[ 3.0% - 3.5% ] 3.47% | 937,036 | 20.6% |
[ 3.5% - 4.0% ] 3.73% | 329,177 | 23.2% |
[ 4.0% - 4.5% ] 4.10% | 536,757 | 24.6% |
[ 4.0% - 4.5% ] 4.42% | 290,997 | 22.0% |
[ 4.5% - 5.0% ] 4.76% | 30,701 | 23.1% |
[ 4.5% - 5.0% ] 4.98% | 761,348 | 20.5% |
[ 5.0% - 5.5% ] 5.48% | 167,006 | 28.3% |
[ 5.5% - 6.0% ] 5.77% | 107,730 | 17.8% |
[ 6.0% - 6.5% ] 6.12% | 174,663 | 23.5% |
[ 6.0% - 6.5% ] 6.44% | 63,612 | 21.7% |
[ 6.5% - 7.0% ] 6.76% | 170,696 | 23.8% |
[ 6.5% - 7.0% ] 6.99% | 50,484 | 28.3% |
[ 7.0% - 7.5% ] 7.32% | 10,557 | 17.8% |
[ 7.5% - 8.0% ] 7.66% | 37,988 | 28.5% |
[ 7.5% - 8.0% ] 7.92% | 42,735 | 21.9% |
[ 8.0% - 8.5% ] 8.18% | 52,886 | 23.0% |
[ 8.5% - 9.0% ] 8.55% | 12,684 | 27.7% |
[ 9.0% - 9.5% ] 9.03% | 148,369 | 16.2% |
[ 9.0% - 9.5% ] 9.40% | 51,109 | 25.7% |
[ 9.5% - 10.0% ] 9.63% | 136,085 | 14.5% |
[ 9.5% - 10.0% ] 9.96% | 134,205 | 23.7% |
[ 10.0% - 10.5% ] 10.33% | 64,531 | 22.1% |
[ 10.5% - 11.0% ] 10.72% | 70,827 | 14.4% |
[ 10.5% - 11.0% ] 10.85% | 31,292 | 26.5% |
[ 11.0% - 11.5% ] 11.27% | 308,806 | 16.2% |
[ 11.5% - 12.0% ] 11.69% | 1,215 | 5.5% |
[ 11.5% - 12.0% ] 11.89% | 32,912 | 20.8% |
[ 12.5% - 13.0% ] 12.76% | 84,951 | 17.2% |
[ 13.0% - 13.5% ] 13.26% | 2,006 | 14.5% |
[ 13.0% - 13.5% ] 13.48% | 13,459 | 17.5% |
[ 13.5% - 14.0% ] 13.86% | 95,310 | 20.3% |
[ 14.5% - 15.0% ] 14.53% | 296 | 37.6% |
[ 14.5% - 15.0% ] 14.91% | 932 | 13.7% |
[ 15.0% - 15.5% ] 15.04% | 13,116 | 10.3% |
[ 15.0% - 15.5% ] 15.39% | 132,060 | 16.1% |
[ 16.0% - 16.5% ] 16.48% | 6,790 | 34.6% |
[ 16.5% - 17.0% ] 16.66% | 34,220 | 18.6% |
[ 18.0% - 18.5% ] 18.23% | 7,581 | 9.3% |
[ 18.0% - 18.5% ] 18.31% | 17,716 | 7.8% |
[ 18.5% - 19.0% ] 18.74% | 619 | 19.9% |
[ 24.0% - 24.5% ] 24.36% | 390 | 15.7% |
[ 24.5% - 25.0% ] 24.55% | 1,218 | 32.3% |
[ 25.5% - 26.0% ] 25.55% | 57,662 | 15.2% |
[ 26.0% - 26.5% ] 26.16% | 19,613 | 15.2% |
[ 40.5% - 41.0% ] 40.74% | 734 | 21.4% |
[ 65.0% - 65.5% ] 65.25% | 282 | 8.8% |