Chinese Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Chinese Child Poverty Among Boys Under 16
11.9%
POVERTY | BOYS < 16
100.0/ 100
METRIC RATING
5th/ 347
METRIC RANK
Chinese Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 64,708,230 people shows a weak positive correlation between the proportion of Chinese and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.283 and weighted average of 11.9%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 2.0% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Chinese and poverty level among boys under the age of 16 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 boys under the age of 16 within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of poverty level among boys under the age of 16 due to other factors.
Demographics Similar to Chinese by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Chinese are Thai (11.7%, a difference of 1.6%), Immigrants from Hong Kong (12.3%, a difference of 3.3%), Iranian (12.4%, a difference of 4.9%), Immigrants from Singapore (12.5%, a difference of 5.2%), and Immigrants from Iran (12.5%, a difference of 5.8%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| Immigrants from India | 100.0 /100 | #1 | Exceptional 10.9% |
| Immigrants from Taiwan | 100.0 /100 | #2 | Exceptional 11.0% |
| Filipinos | 100.0 /100 | #3 | Exceptional 11.1% |
| Thais | 100.0 /100 | #4 | Exceptional 11.7% |
| Chinese | 100.0 /100 | #5 | Exceptional 11.9% |
| Immigrants from Hong Kong | 100.0 /100 | #6 | Exceptional 12.3% |
| Iranians | 100.0 /100 | #7 | Exceptional 12.4% |
| Immigrants from Singapore | 100.0 /100 | #8 | Exceptional 12.5% |
| Immigrants from Iran | 100.0 /100 | #9 | Exceptional 12.5% |
| Bhutanese | 100.0 /100 | #10 | Exceptional 12.6% |
| Immigrants from South Central Asia | 100.0 /100 | #11 | Exceptional 12.7% |
| Burmese | 99.9 /100 | #12 | Exceptional 13.0% |
| Immigrants from Korea | 99.9 /100 | #13 | Exceptional 13.0% |
| Immigrants from Ireland | 99.9 /100 | #14 | Exceptional 13.1% |
| Immigrants from Japan | 99.9 /100 | #15 | Exceptional 13.1% |
Chinese Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Chinese Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.0087% | 0.70% |
| Maximum | 8.3% | 58.3% |
| Range | 8.3% | 57.6% |
| Mean | 1.7% | 14.1% |
| Median | 1.2% | 10.7% |
| Interquartile 25% (IQ1) | 0.56% | 5.2% |
| Interquartile 75% (IQ3) | 2.0% | 17.9% |
| Interquartile Range (IQR) | 1.4% | 12.7% |
| Standard Deviation (Sample) | 1.7% | 11.9% |
| Standard Deviation (Population) | 1.7% | 11.8% |
Correlation Details
| Chinese Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.0087% | 53,055,746 | 18.7% |
[ 0.0% - 0.5% ] 0.059% | 5,049,043 | 12.0% |
[ 0.0% - 0.5% ] 0.10% | 1,534,695 | 10.3% |
[ 0.0% - 0.5% ] 0.14% | 1,140,843 | 10.6% |
[ 0.0% - 0.5% ] 0.19% | 529,051 | 13.7% |
[ 0.0% - 0.5% ] 0.22% | 242,519 | 13.9% |
[ 0.0% - 0.5% ] 0.27% | 227,163 | 16.1% |
[ 0.0% - 0.5% ] 0.31% | 255,334 | 11.5% |
[ 0.0% - 0.5% ] 0.35% | 172,222 | 10.7% |
[ 0.0% - 0.5% ] 0.39% | 96,543 | 13.6% |
[ 0.0% - 0.5% ] 0.43% | 139,934 | 17.5% |
[ 0.0% - 0.5% ] 0.47% | 73,196 | 32.4% |
[ 0.5% - 1.0% ] 0.52% | 117,219 | 14.8% |
[ 0.5% - 1.0% ] 0.56% | 79,978 | 20.2% |
[ 0.5% - 1.0% ] 0.60% | 262,886 | 10.5% |
[ 0.5% - 1.0% ] 0.65% | 102,015 | 8.5% |
[ 0.5% - 1.0% ] 0.70% | 112,706 | 9.5% |
[ 0.5% - 1.0% ] 0.72% | 82,656 | 16.3% |
[ 0.5% - 1.0% ] 0.78% | 454,777 | 13.3% |
[ 0.5% - 1.0% ] 0.82% | 14,918 | 8.8% |
[ 0.5% - 1.0% ] 0.84% | 151,355 | 12.9% |
[ 0.5% - 1.0% ] 0.89% | 66,721 | 7.9% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 5.2% |
[ 1.0% - 1.5% ] 1.00% | 50,280 | 15.9% |
[ 1.0% - 1.5% ] 1.05% | 11,763 | 26.9% |
[ 1.0% - 1.5% ] 1.09% | 38,517 | 13.3% |
[ 1.0% - 1.5% ] 1.12% | 22,864 | 6.3% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 6.5% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 2.7% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 5.6% |
[ 1.0% - 1.5% ] 1.33% | 25,957 | 3.8% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 7.2% |
[ 1.0% - 1.5% ] 1.44% | 49,512 | 20.9% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 7.6% |
[ 1.5% - 2.0% ] 1.63% | 45,392 | 2.6% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 1.5% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 2.4% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 4.2% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 4.7% |
[ 1.5% - 2.0% ] 1.87% | 10,801 | 17.9% |
[ 1.5% - 2.0% ] 1.94% | 465 | 35.3% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 4.8% |
[ 2.0% - 2.5% ] 2.14% | 63,439 | 5.1% |
[ 2.0% - 2.5% ] 2.19% | 1,555 | 43.0% |
[ 2.0% - 2.5% ] 2.26% | 1,507 | 43.8% |
[ 2.0% - 2.5% ] 2.28% | 1,576 | 18.9% |
[ 2.5% - 3.0% ] 2.61% | 4,786 | 2.5% |
[ 3.0% - 3.5% ] 3.23% | 279 | 35.3% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 27.7% |
[ 4.0% - 4.5% ] 4.04% | 4,135 | 4.6% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 0.70% |
[ 4.5% - 5.0% ] 4.56% | 548 | 6.5% |
[ 5.5% - 6.0% ] 5.98% | 5,065 | 23.7% |
[ 6.5% - 7.0% ] 6.68% | 853 | 3.8% |
[ 8.0% - 8.5% ] 8.28% | 157 | 58.3% |