Bangladeshi Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Bangladeshi Female Poverty Among 25-34 Year Olds
15.9%
POVERTY | FEMALES 25-34
0.0/ 100
METRIC RATING
280th/ 347
METRIC RANK
Bangladeshi Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 140,698,140 people shows no correlation between the proportion of Bangladeshis and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.001 and weighted average of 15.9%. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.00060% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Bangladeshis and poverty level among females between the ages 25 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 poverty level among females between the ages 25 and 34 within an area, or if Bangladeshis simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.
Demographics Similar to Bangladeshis by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Bangladeshis are French American Indian (15.9%, a difference of 0.16%), Fijian (15.9%, a difference of 0.16%), Immigrants from Micronesia (15.8%, a difference of 0.45%), Immigrants from Zaire (15.8%, a difference of 0.46%), and Immigrants from Latin America (16.0%, a difference of 0.51%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Nonimmigrants | 0.1 /100 | #273 | Tragic 15.6% |
| Immigrants from Caribbean | 0.0 /100 | #274 | Tragic 15.7% |
| Immigrants from the Azores | 0.0 /100 | #275 | Tragic 15.8% |
| Immigrants from Zaire | 0.0 /100 | #276 | Tragic 15.8% |
| Immigrants from Micronesia | 0.0 /100 | #277 | Tragic 15.8% |
| French American Indians | 0.0 /100 | #278 | Tragic 15.9% |
| Fijians | 0.0 /100 | #279 | Tragic 15.9% |
| Bangladeshis | 0.0 /100 | #280 | Tragic 15.9% |
| Immigrants from Latin America | 0.0 /100 | #281 | Tragic 16.0% |
| Aleuts | 0.0 /100 | #282 | Tragic 16.1% |
| Bahamians | 0.0 /100 | #283 | Tragic 16.1% |
| Shoshone | 0.0 /100 | #284 | Tragic 16.2% |
| Immigrants from Bahamas | 0.0 /100 | #285 | Tragic 16.3% |
| Cape Verdeans | 0.0 /100 | #286 | Tragic 16.3% |
| Americans | 0.0 /100 | #287 | Tragic 16.4% |
Bangladeshi Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Bangladeshi Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.061% | 1.5% |
| Maximum | 40.7% | 42.1% |
| Range | 40.7% | 40.6% |
| Mean | 9.7% | 17.4% |
| Median | 8.2% | 16.1% |
| Interquartile 25% (IQ1) | 4.1% | 13.5% |
| Interquartile 75% (IQ3) | 13.5% | 21.0% |
| Interquartile Range (IQR) | 9.4% | 7.6% |
| Standard Deviation (Sample) | 7.8% | 7.5% |
| Standard Deviation (Population) | 7.7% | 7.4% |
Correlation Details
| Bangladeshi Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.061% | 114,682,557 | 13.5% |
[ 0.0% - 0.5% ] 0.45% | 8,634,784 | 13.9% |
[ 0.5% - 1.0% ] 0.80% | 3,449,310 | 14.3% |
[ 1.0% - 1.5% ] 1.16% | 1,797,497 | 16.0% |
[ 1.0% - 1.5% ] 1.45% | 1,890,389 | 13.5% |
[ 1.5% - 2.0% ] 1.75% | 2,109,926 | 14.5% |
[ 2.0% - 2.5% ] 2.04% | 1,179,613 | 19.5% |
[ 2.0% - 2.5% ] 2.47% | 706,922 | 13.5% |
[ 2.5% - 3.0% ] 2.73% | 623,226 | 12.1% |
[ 3.0% - 3.5% ] 3.13% | 466,161 | 13.2% |
[ 3.0% - 3.5% ] 3.47% | 915,969 | 14.2% |
[ 3.5% - 4.0% ] 3.74% | 300,555 | 17.5% |
[ 4.0% - 4.5% ] 4.10% | 532,189 | 14.1% |
[ 4.0% - 4.5% ] 4.42% | 290,997 | 15.8% |
[ 4.5% - 5.0% ] 4.76% | 30,701 | 18.8% |
[ 4.5% - 5.0% ] 4.98% | 750,401 | 20.3% |
[ 5.0% - 5.5% ] 5.48% | 165,936 | 22.7% |
[ 5.5% - 6.0% ] 5.77% | 107,730 | 14.4% |
[ 6.0% - 6.5% ] 6.12% | 174,663 | 23.4% |
[ 6.0% - 6.5% ] 6.46% | 56,730 | 20.5% |
[ 6.5% - 7.0% ] 6.76% | 165,199 | 22.4% |
[ 6.5% - 7.0% ] 6.99% | 50,484 | 21.0% |
[ 7.0% - 7.5% ] 7.32% | 10,557 | 25.7% |
[ 7.5% - 8.0% ] 7.68% | 31,835 | 30.7% |
[ 7.5% - 8.0% ] 7.92% | 42,735 | 9.0% |
[ 8.0% - 8.5% ] 8.18% | 52,886 | 26.3% |
[ 8.5% - 9.0% ] 8.55% | 12,684 | 12.6% |
[ 9.0% - 9.5% ] 9.03% | 148,369 | 16.8% |
[ 9.0% - 9.5% ] 9.40% | 51,109 | 16.1% |
[ 9.5% - 10.0% ] 9.63% | 136,085 | 18.0% |
[ 9.5% - 10.0% ] 9.96% | 134,205 | 16.4% |
[ 10.0% - 10.5% ] 10.33% | 64,531 | 26.6% |
[ 10.5% - 11.0% ] 10.72% | 70,827 | 22.4% |
[ 10.5% - 11.0% ] 10.85% | 31,292 | 12.7% |
[ 11.0% - 11.5% ] 11.27% | 308,806 | 14.9% |
[ 11.5% - 12.0% ] 11.89% | 32,912 | 16.8% |
[ 12.5% - 13.0% ] 12.76% | 84,951 | 14.5% |
[ 13.0% - 13.5% ] 13.26% | 2,006 | 20.0% |
[ 13.0% - 13.5% ] 13.48% | 13,459 | 2.3% |
[ 13.5% - 14.0% ] 13.86% | 95,310 | 18.7% |
[ 14.5% - 15.0% ] 14.91% | 932 | 36.4% |
[ 15.0% - 15.5% ] 15.04% | 13,116 | 22.8% |
[ 15.0% - 15.5% ] 15.39% | 132,060 | 11.7% |
[ 16.0% - 16.5% ] 16.48% | 6,790 | 42.1% |
[ 16.5% - 17.0% ] 16.66% | 34,220 | 11.9% |
[ 18.0% - 18.5% ] 18.23% | 7,581 | 6.6% |
[ 18.0% - 18.5% ] 18.31% | 17,716 | 1.5% |
[ 24.5% - 25.0% ] 24.55% | 1,218 | 8.6% |
[ 25.5% - 26.0% ] 25.55% | 57,662 | 16.5% |
[ 26.0% - 26.5% ] 26.16% | 19,613 | 29.6% |
[ 40.5% - 41.0% ] 40.74% | 734 | 12.2% |