Chinese Births to Unmarried Women
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Chinese
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Births to Unmarried Women
Chinese Births to Unmarried Women
30.2%
BIRTHS TO UNMARRIED WOMEN
87.1/ 100
METRIC RATING
127th/ 347
METRIC RANK
Chinese Births to Unmarried Women Correlation Chart
The statistical analysis conducted on geographies consisting of 63,513,648 people shows a substantial positive correlation between the proportion of Chinese and percentage of births to unmarried women in the United States with a correlation coefficient (R) of 0.522 and weighted average of 30.2%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 8.6% in percentage of births to unmarried women.
It is essential to understand that the correlation between the percentage of Chinese and percentage of births to unmarried women does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Chinese influences an upward or downward trend in the level of percentage of births to unmarried women within an area, or if Chinese 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 Chinese by Births to Unmarried Women
In terms of births to unmarried women, the demographic groups most similar to Chinese are European (30.2%, a difference of 0.030%), Vietnamese (30.2%, a difference of 0.14%), Croatian (30.2%, a difference of 0.22%), Icelander (30.3%, a difference of 0.24%), and Syrian (30.2%, a difference of 0.25%).
| Demographics | Rating | Rank | Births to Unmarried Women |
| Ugandans | 89.2 /100 | #120 | Excellent 30.1% |
| Koreans | 88.9 /100 | #121 | Excellent 30.1% |
| Immigrants from Argentina | 88.7 /100 | #122 | Excellent 30.1% |
| Syrians | 88.2 /100 | #123 | Excellent 30.2% |
| Croatians | 88.0 /100 | #124 | Excellent 30.2% |
| Vietnamese | 87.7 /100 | #125 | Excellent 30.2% |
| Europeans | 87.2 /100 | #126 | Excellent 30.2% |
| Chinese | 87.1 /100 | #127 | Excellent 30.2% |
| Icelanders | 86.0 /100 | #128 | Excellent 30.3% |
| Immigrants from Spain | 85.8 /100 | #129 | Excellent 30.3% |
| Immigrants from Bosnia and Herzegovina | 85.7 /100 | #130 | Excellent 30.3% |
| Immigrants from Zimbabwe | 85.7 /100 | #131 | Excellent 30.3% |
| New Zealanders | 85.5 /100 | #132 | Excellent 30.3% |
| Immigrants from Morocco | 85.2 /100 | #133 | Excellent 30.4% |
| Immigrants from South Eastern Asia | 85.2 /100 | #134 | Excellent 30.4% |
Chinese Births to Unmarried Women Correlation Summary
| Measurement | Chinese Data | Births to Unmarried Women Data |
| Minimum | 0.0087% | 5.5% |
| Maximum | 8.3% | 100.0% |
| Range | 8.3% | 94.5% |
| Mean | 1.5% | 41.4% |
| Median | 1.1% | 33.7% |
| Interquartile 25% (IQ1) | 0.54% | 24.5% |
| Interquartile 75% (IQ3) | 1.9% | 48.5% |
| Interquartile Range (IQR) | 1.3% | 24.0% |
| Standard Deviation (Sample) | 1.6% | 25.6% |
| Standard Deviation (Population) | 1.5% | 25.4% |
Correlation Details
| Chinese Percentile | Sample Size | Births to Unmarried Women |
[ 0.0% - 0.5% ] 0.0087% | 52,731,910 | 31.8% |
[ 0.0% - 0.5% ] 0.059% | 4,686,564 | 27.1% |
[ 0.0% - 0.5% ] 0.10% | 1,409,376 | 24.0% |
[ 0.0% - 0.5% ] 0.14% | 1,038,290 | 23.6% |
[ 0.0% - 0.5% ] 0.18% | 480,894 | 25.2% |
[ 0.0% - 0.5% ] 0.22% | 206,010 | 22.4% |
[ 0.0% - 0.5% ] 0.27% | 227,163 | 34.8% |
[ 0.0% - 0.5% ] 0.31% | 228,891 | 26.4% |
[ 0.0% - 0.5% ] 0.34% | 116,583 | 31.9% |
[ 0.0% - 0.5% ] 0.39% | 75,421 | 15.9% |
[ 0.0% - 0.5% ] 0.43% | 144,302 | 36.0% |
[ 0.0% - 0.5% ] 0.47% | 50,408 | 68.9% |
[ 0.5% - 1.0% ] 0.52% | 107,214 | 44.6% |
[ 0.5% - 1.0% ] 0.56% | 77,672 | 48.2% |
[ 0.5% - 1.0% ] 0.60% | 263,904 | 25.0% |
[ 0.5% - 1.0% ] 0.65% | 102,015 | 34.7% |
[ 0.5% - 1.0% ] 0.70% | 108,996 | 33.7% |
[ 0.5% - 1.0% ] 0.72% | 79,625 | 43.7% |
[ 0.5% - 1.0% ] 0.78% | 436,360 | 26.3% |
[ 0.5% - 1.0% ] 0.81% | 737 | 40.0% |
[ 0.5% - 1.0% ] 0.83% | 143,651 | 25.6% |
[ 0.5% - 1.0% ] 0.89% | 77,352 | 31.7% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 13.0% |
[ 0.5% - 1.0% ] 1.00% | 44,633 | 33.8% |
[ 1.0% - 1.5% ] 1.07% | 6,555 | 40.1% |
[ 1.0% - 1.5% ] 1.09% | 38,054 | 23.7% |
[ 1.0% - 1.5% ] 1.12% | 21,546 | 19.9% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 74.2% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 27.0% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 19.8% |
[ 1.0% - 1.5% ] 1.33% | 25,957 | 12.9% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 63.5% |
[ 1.0% - 1.5% ] 1.44% | 50,142 | 49.9% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 22.0% |
[ 1.5% - 2.0% ] 1.63% | 38,674 | 34.8% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 31.7% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 5.5% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 31.3% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 21.5% |
[ 1.5% - 2.0% ] 1.87% | 10,801 | 68.3% |
[ 1.5% - 2.0% ] 1.94% | 465 | 100.0% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 48.7% |
[ 2.0% - 2.5% ] 2.14% | 63,439 | 20.9% |
[ 2.0% - 2.5% ] 2.26% | 1,507 | 100.0% |
[ 2.0% - 2.5% ] 2.29% | 1,094 | 57.1% |
[ 3.0% - 3.5% ] 3.23% | 279 | 100.0% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 100.0% |
[ 4.0% - 4.5% ] 4.04% | 4,135 | 36.8% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 38.6% |
[ 4.5% - 5.0% ] 4.56% | 548 | 100.0% |
[ 5.5% - 6.0% ] 5.98% | 5,065 | 38.2% |
[ 8.0% - 8.5% ] 8.28% | 157 | 100.0% |