Chinese Single Female Poverty
COMPARE
Chinese
Select to Compare
Single Female Poverty
Chinese Single Female Poverty
16.1%
POVERTY | SINGLE FEMALES
100.0/ 100
METRIC RATING
1st/ 347
METRIC RANK
Chinese Single Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 64,651,041 people shows a weak negative correlation between the proportion of Chinese and poverty level among single females in the United States with a correlation coefficient (R) of -0.244 and weighted average of 16.1%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 1.7% in poverty level among single females.
It is essential to understand that the correlation between the percentage of Chinese and poverty level among single females 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 poverty level among single females within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of poverty level among single females due to other factors.
Demographics Similar to Chinese by Single Female Poverty
In terms of single female poverty, the demographic groups most similar to Chinese are Immigrants from Taiwan (16.4%, a difference of 1.3%), Immigrants from Hong Kong (16.5%, a difference of 2.4%), Immigrants from India (16.8%, a difference of 4.2%), Assyrian/Chaldean/Syriac (17.0%, a difference of 5.0%), and Filipino (17.0%, a difference of 5.2%).
| Demographics | Rating | Rank | Single Female Poverty |
| Chinese | 100.0 /100 | #1 | Exceptional 16.1% |
| Immigrants from Taiwan | 100.0 /100 | #2 | Exceptional 16.4% |
| Immigrants from Hong Kong | 100.0 /100 | #3 | Exceptional 16.5% |
| Immigrants from India | 100.0 /100 | #4 | Exceptional 16.8% |
| Assyrians/Chaldeans/Syriacs | 100.0 /100 | #5 | Exceptional 17.0% |
| Filipinos | 100.0 /100 | #6 | Exceptional 17.0% |
| Thais | 100.0 /100 | #7 | Exceptional 17.3% |
| Immigrants from Iran | 100.0 /100 | #8 | Exceptional 17.5% |
| Bhutanese | 100.0 /100 | #9 | Exceptional 17.7% |
| Immigrants from Ireland | 100.0 /100 | #10 | Exceptional 17.8% |
| Immigrants from Lithuania | 100.0 /100 | #11 | Exceptional 17.8% |
| Immigrants from South Central Asia | 100.0 /100 | #12 | Exceptional 17.8% |
| Immigrants from Bolivia | 100.0 /100 | #13 | Exceptional 17.8% |
| Bolivians | 100.0 /100 | #14 | Exceptional 17.9% |
| Indians (Asian) | 100.0 /100 | #15 | Exceptional 17.9% |
Chinese Single Female Poverty Correlation Summary
| Measurement | Chinese Data | Single Female Poverty Data |
| Minimum | 0.0087% | 1.3% |
| Maximum | 6.7% | 43.0% |
| Range | 6.7% | 41.7% |
| Mean | 1.4% | 16.1% |
| Median | 1.1% | 16.1% |
| Interquartile 25% (IQ1) | 0.54% | 9.3% |
| Interquartile 75% (IQ3) | 1.9% | 20.3% |
| Interquartile Range (IQR) | 1.4% | 10.9% |
| Standard Deviation (Sample) | 1.3% | 9.1% |
| Standard Deviation (Population) | 1.3% | 9.1% |
Correlation Details
| Chinese Percentile | Sample Size | Single Female Poverty |
[ 0.0% - 0.5% ] 0.0087% | 53,044,561 | 22.7% |
[ 0.0% - 0.5% ] 0.059% | 5,049,043 | 18.4% |
[ 0.0% - 0.5% ] 0.10% | 1,532,753 | 18.1% |
[ 0.0% - 0.5% ] 0.14% | 1,136,042 | 17.7% |
[ 0.0% - 0.5% ] 0.19% | 529,051 | 20.3% |
[ 0.0% - 0.5% ] 0.22% | 242,519 | 18.1% |
[ 0.0% - 0.5% ] 0.27% | 241,739 | 19.9% |
[ 0.0% - 0.5% ] 0.31% | 237,914 | 15.2% |
[ 0.0% - 0.5% ] 0.35% | 171,661 | 13.5% |
[ 0.0% - 0.5% ] 0.39% | 86,068 | 25.7% |
[ 0.0% - 0.5% ] 0.43% | 144,779 | 17.6% |
[ 0.0% - 0.5% ] 0.47% | 64,704 | 38.5% |
[ 0.5% - 1.0% ] 0.52% | 115,518 | 23.3% |
[ 0.5% - 1.0% ] 0.56% | 73,347 | 26.0% |
[ 0.5% - 1.0% ] 0.60% | 247,719 | 16.0% |
[ 0.5% - 1.0% ] 0.65% | 95,546 | 19.9% |
[ 0.5% - 1.0% ] 0.70% | 114,487 | 14.4% |
[ 0.5% - 1.0% ] 0.72% | 82,656 | 20.3% |
[ 0.5% - 1.0% ] 0.78% | 454,777 | 16.2% |
[ 0.5% - 1.0% ] 0.82% | 24,095 | 10.2% |
[ 0.5% - 1.0% ] 0.84% | 151,355 | 16.1% |
[ 0.5% - 1.0% ] 0.89% | 66,721 | 15.6% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 9.9% |
[ 1.0% - 1.5% ] 1.00% | 54,182 | 16.8% |
[ 1.0% - 1.5% ] 1.05% | 13,292 | 26.3% |
[ 1.0% - 1.5% ] 1.09% | 38,517 | 16.7% |
[ 1.0% - 1.5% ] 1.12% | 22,864 | 6.9% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 9.2% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 4.3% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 6.5% |
[ 1.0% - 1.5% ] 1.33% | 25,957 | 17.0% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 10.9% |
[ 1.0% - 1.5% ] 1.44% | 49,512 | 17.7% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 7.8% |
[ 1.5% - 2.0% ] 1.63% | 38,674 | 4.1% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 4.1% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 1.7% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 9.5% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 9.3% |
[ 1.5% - 2.0% ] 1.87% | 10,801 | 29.3% |
[ 1.5% - 2.0% ] 1.94% | 465 | 13.3% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 6.1% |
[ 2.0% - 2.5% ] 2.14% | 63,439 | 9.4% |
[ 2.0% - 2.5% ] 2.19% | 1,555 | 34.1% |
[ 2.0% - 2.5% ] 2.26% | 1,507 | 29.9% |
[ 2.0% - 2.5% ] 2.28% | 1,576 | 43.0% |
[ 2.5% - 3.0% ] 2.61% | 8,571 | 20.7% |
[ 3.0% - 3.5% ] 3.23% | 279 | 13.3% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 29.8% |
[ 4.0% - 4.5% ] 4.04% | 4,135 | 6.0% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 1.3% |
[ 4.5% - 5.0% ] 4.56% | 548 | 11.5% |
[ 6.5% - 7.0% ] 6.68% | 853 | 5.3% |