Bangladeshi Births to Unmarried Women
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Bangladeshi
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Births to Unmarried Women
Bangladeshi Births to Unmarried Women
34.4%
BIRTHS TO UNMARRIED WOMEN
2.5/ 100
METRIC RATING
233rd/ 347
METRIC RANK
Bangladeshi Births to Unmarried Women Correlation Chart
The statistical analysis conducted on geographies consisting of 137,729,923 people shows a poor negative correlation between the proportion of Bangladeshis and percentage of births to unmarried women in the United States with a correlation coefficient (R) of -0.139 and weighted average of 34.4%. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.18% in percentage of births to unmarried women.
It is essential to understand that the correlation between the percentage of Bangladeshis and percentage of births to unmarried women 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 percentage of births to unmarried women within an area, or if Bangladeshis simply ended up residing in those areas with higher or lower levels of percentage of births to unmarried women due to other factors.
Demographics Similar to Bangladeshis by Births to Unmarried Women
In terms of births to unmarried women, the demographic groups most similar to Bangladeshis are French Canadian (34.4%, a difference of 0.020%), Immigrants from Zaire (34.5%, a difference of 0.24%), Native Hawaiian (34.3%, a difference of 0.31%), Immigrants from Ghana (34.5%, a difference of 0.31%), and Ghanaian (34.3%, a difference of 0.46%).
| Demographics | Rating | Rank | Births to Unmarried Women |
| Delaware | 3.3 /100 | #226 | Tragic 34.2% |
| Immigrants from Panama | 3.3 /100 | #227 | Tragic 34.2% |
| Panamanians | 3.3 /100 | #228 | Tragic 34.2% |
| Immigrants from Sierra Leone | 3.1 /100 | #229 | Tragic 34.2% |
| Ghanaians | 3.1 /100 | #230 | Tragic 34.3% |
| Native Hawaiians | 2.9 /100 | #231 | Tragic 34.3% |
| French Canadians | 2.5 /100 | #232 | Tragic 34.4% |
| Bangladeshis | 2.5 /100 | #233 | Tragic 34.4% |
| Immigrants from Zaire | 2.3 /100 | #234 | Tragic 34.5% |
| Immigrants from Ghana | 2.2 /100 | #235 | Tragic 34.5% |
| Immigrants from Cameroon | 1.6 /100 | #236 | Tragic 34.7% |
| Marshallese | 1.6 /100 | #237 | Tragic 34.8% |
| Immigrants from Cambodia | 1.6 /100 | #238 | Tragic 34.8% |
| Sierra Leoneans | 1.4 /100 | #239 | Tragic 34.9% |
| Immigrants from Middle Africa | 1.2 /100 | #240 | Tragic 34.9% |
Bangladeshi Births to Unmarried Women Correlation Summary
| Measurement | Bangladeshi Data | Births to Unmarried Women Data |
| Minimum | 0.060% | 7.6% |
| Maximum | 40.7% | 59.1% |
| Range | 40.7% | 51.5% |
| Mean | 9.7% | 36.4% |
| Median | 8.0% | 35.5% |
| Interquartile 25% (IQ1) | 4.1% | 30.0% |
| Interquartile 75% (IQ3) | 13.5% | 42.6% |
| Interquartile Range (IQR) | 9.4% | 12.6% |
| Standard Deviation (Sample) | 7.9% | 10.4% |
| Standard Deviation (Population) | 7.8% | 10.3% |
Correlation Details
| Bangladeshi Percentile | Sample Size | Births to Unmarried Women |
[ 0.0% - 0.5% ] 0.060% | 112,624,019 | 31.7% |
[ 0.0% - 0.5% ] 0.45% | 8,184,555 | 29.1% |
[ 0.5% - 1.0% ] 0.81% | 3,312,176 | 31.0% |
[ 1.0% - 1.5% ] 1.16% | 1,714,773 | 33.2% |
[ 1.0% - 1.5% ] 1.45% | 1,870,792 | 32.4% |
[ 1.5% - 2.0% ] 1.75% | 2,085,367 | 33.3% |
[ 2.0% - 2.5% ] 2.04% | 1,160,817 | 39.0% |
[ 2.0% - 2.5% ] 2.47% | 669,605 | 27.1% |
[ 2.5% - 3.0% ] 2.73% | 592,638 | 23.5% |
[ 3.0% - 3.5% ] 3.13% | 452,204 | 33.8% |
[ 3.0% - 3.5% ] 3.47% | 909,709 | 33.4% |
[ 3.5% - 4.0% ] 3.74% | 259,871 | 42.1% |
[ 4.0% - 4.5% ] 4.10% | 523,322 | 38.1% |
[ 4.0% - 4.5% ] 4.41% | 277,115 | 37.1% |
[ 4.5% - 5.0% ] 4.65% | 8,379 | 55.8% |
[ 4.5% - 5.0% ] 4.98% | 761,348 | 32.7% |
[ 5.0% - 5.5% ] 5.48% | 165,865 | 47.7% |
[ 5.5% - 6.0% ] 5.77% | 106,494 | 36.3% |
[ 6.0% - 6.5% ] 6.12% | 173,854 | 44.2% |
[ 6.0% - 6.5% ] 6.43% | 54,479 | 51.0% |
[ 6.5% - 7.0% ] 6.76% | 169,158 | 35.7% |
[ 6.5% - 7.0% ] 6.99% | 50,484 | 40.3% |
[ 7.0% - 7.5% ] 7.32% | 10,557 | 37.2% |
[ 7.5% - 8.0% ] 7.69% | 30,625 | 52.0% |
[ 7.5% - 8.0% ] 7.92% | 41,933 | 49.9% |
[ 8.0% - 8.5% ] 8.18% | 52,886 | 43.9% |
[ 8.5% - 9.0% ] 8.54% | 11,262 | 44.3% |
[ 9.0% - 9.5% ] 9.03% | 142,832 | 43.9% |
[ 9.0% - 9.5% ] 9.40% | 51,109 | 25.5% |
[ 9.5% - 10.0% ] 9.63% | 134,429 | 42.6% |
[ 9.5% - 10.0% ] 9.96% | 134,205 | 41.5% |
[ 10.0% - 10.5% ] 10.33% | 64,531 | 59.1% |
[ 10.5% - 11.0% ] 10.72% | 70,827 | 30.9% |
[ 10.5% - 11.0% ] 10.85% | 31,292 | 19.9% |
[ 11.0% - 11.5% ] 11.27% | 308,806 | 29.7% |
[ 11.5% - 12.0% ] 11.89% | 32,912 | 36.9% |
[ 12.5% - 13.0% ] 12.76% | 84,951 | 37.2% |
[ 13.0% - 13.5% ] 13.48% | 13,459 | 7.6% |
[ 13.5% - 14.0% ] 13.87% | 94,641 | 28.8% |
[ 14.5% - 15.0% ] 14.91% | 932 | 25.0% |
[ 15.0% - 15.5% ] 15.04% | 13,116 | 54.2% |
[ 15.0% - 15.5% ] 15.39% | 132,060 | 34.0% |
[ 16.0% - 16.5% ] 16.48% | 6,790 | 57.4% |
[ 16.5% - 17.0% ] 16.66% | 34,220 | 35.3% |
[ 18.0% - 18.5% ] 18.23% | 7,581 | 19.4% |
[ 18.0% - 18.5% ] 18.31% | 17,716 | 28.9% |
[ 24.5% - 25.0% ] 24.55% | 1,218 | 21.4% |
[ 25.5% - 26.0% ] 25.55% | 57,662 | 39.2% |
[ 26.0% - 26.5% ] 26.16% | 19,613 | 33.3% |
[ 40.5% - 41.0% ] 40.74% | 734 | 30.0% |