Chinese Male Poverty
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Chinese
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Male Poverty
Chinese Male Poverty
8.7%
POVERTY | MALES
100.0/ 100
METRIC RATING
2nd/ 347
METRIC RANK
Chinese Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 64,801,112 people shows a weak positive correlation between the proportion of Chinese and poverty level among males in the United States with a correlation coefficient (R) of 0.236 and weighted average of 8.7%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.91% in poverty level among males.
It is essential to understand that the correlation between the percentage of Chinese and poverty level among males 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 males within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of poverty level among males due to other factors.
Demographics Similar to Chinese by Male Poverty
In terms of male poverty, the demographic groups most similar to Chinese are Thai (8.7%, a difference of 0.080%), Immigrants from Taiwan (8.9%, a difference of 2.4%), Maltese (9.1%, a difference of 4.4%), Assyrian/Chaldean/Syriac (9.1%, a difference of 5.1%), and Immigrants from Ireland (9.1%, a difference of 5.2%).
| Demographics | Rating | Rank | Male Poverty |
| Immigrants from India | 100.0 /100 | #1 | Exceptional 8.2% |
| Chinese | 100.0 /100 | #2 | Exceptional 8.7% |
| Thais | 100.0 /100 | #3 | Exceptional 8.7% |
| Immigrants from Taiwan | 100.0 /100 | #4 | Exceptional 8.9% |
| Maltese | 100.0 /100 | #5 | Exceptional 9.1% |
| Assyrians/Chaldeans/Syriacs | 99.9 /100 | #6 | Exceptional 9.1% |
| Immigrants from Ireland | 99.9 /100 | #7 | Exceptional 9.1% |
| Filipinos | 99.9 /100 | #8 | Exceptional 9.2% |
| Immigrants from South Central Asia | 99.9 /100 | #9 | Exceptional 9.3% |
| Bulgarians | 99.9 /100 | #10 | Exceptional 9.3% |
| Bolivians | 99.9 /100 | #11 | Exceptional 9.4% |
| Immigrants from Bolivia | 99.9 /100 | #12 | Exceptional 9.4% |
| Immigrants from Lithuania | 99.9 /100 | #13 | Exceptional 9.4% |
| Immigrants from North Macedonia | 99.8 /100 | #14 | Exceptional 9.4% |
| Bhutanese | 99.8 /100 | #15 | Exceptional 9.5% |
Chinese Male Poverty Correlation Summary
| Measurement | Chinese Data | Male Poverty Data |
| Minimum | 0.0087% | 1.3% |
| Maximum | 8.3% | 29.4% |
| Range | 8.3% | 28.2% |
| Mean | 1.7% | 9.7% |
| Median | 1.2% | 8.9% |
| Interquartile 25% (IQ1) | 0.58% | 4.8% |
| Interquartile 75% (IQ3) | 2.2% | 12.4% |
| Interquartile Range (IQR) | 1.6% | 7.6% |
| Standard Deviation (Sample) | 1.7% | 6.4% |
| Standard Deviation (Population) | 1.6% | 6.4% |
Correlation Details
| Chinese Percentile | Sample Size | Male Poverty |
[ 0.0% - 0.5% ] 0.0087% | 53,055,746 | 13.3% |
[ 0.0% - 0.5% ] 0.059% | 5,049,043 | 9.1% |
[ 0.0% - 0.5% ] 0.10% | 1,538,210 | 7.6% |
[ 0.0% - 0.5% ] 0.14% | 1,149,266 | 8.3% |
[ 0.0% - 0.5% ] 0.19% | 529,051 | 10.1% |
[ 0.0% - 0.5% ] 0.22% | 242,519 | 9.1% |
[ 0.0% - 0.5% ] 0.27% | 241,739 | 9.9% |
[ 0.0% - 0.5% ] 0.31% | 264,410 | 8.5% |
[ 0.0% - 0.5% ] 0.35% | 172,813 | 9.5% |
[ 0.0% - 0.5% ] 0.39% | 107,016 | 8.8% |
[ 0.0% - 0.5% ] 0.43% | 144,779 | 10.6% |
[ 0.0% - 0.5% ] 0.47% | 76,395 | 18.3% |
[ 0.5% - 1.0% ] 0.52% | 117,219 | 11.2% |
[ 0.5% - 1.0% ] 0.56% | 79,978 | 14.0% |
[ 0.5% - 1.0% ] 0.60% | 263,904 | 6.3% |
[ 0.5% - 1.0% ] 0.64% | 104,383 | 7.0% |
[ 0.5% - 1.0% ] 0.70% | 114,487 | 7.2% |
[ 0.5% - 1.0% ] 0.72% | 82,656 | 13.1% |
[ 0.5% - 1.0% ] 0.78% | 454,777 | 9.1% |
[ 0.5% - 1.0% ] 0.82% | 24,095 | 4.9% |
[ 0.5% - 1.0% ] 0.84% | 151,355 | 8.9% |
[ 0.5% - 1.0% ] 0.89% | 78,354 | 6.2% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 3.9% |
[ 1.0% - 1.5% ] 1.00% | 54,182 | 10.0% |
[ 1.0% - 1.5% ] 1.05% | 13,292 | 13.3% |
[ 1.0% - 1.5% ] 1.09% | 39,437 | 9.6% |
[ 1.0% - 1.5% ] 1.12% | 22,864 | 3.6% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 4.6% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 4.8% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 3.3% |
[ 1.0% - 1.5% ] 1.33% | 27,739 | 7.2% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 5.1% |
[ 1.0% - 1.5% ] 1.44% | 49,512 | 10.5% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 3.7% |
[ 1.5% - 2.0% ] 1.63% | 45,392 | 4.3% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 3.9% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 5.3% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 6.2% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 3.9% |
[ 1.5% - 2.0% ] 1.87% | 10,801 | 17.7% |
[ 1.5% - 2.0% ] 1.94% | 465 | 28.3% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 13.3% |
[ 2.0% - 2.5% ] 2.14% | 63,439 | 5.4% |
[ 2.0% - 2.5% ] 2.19% | 1,555 | 17.2% |
[ 2.0% - 2.5% ] 2.26% | 1,507 | 26.6% |
[ 2.0% - 2.5% ] 2.28% | 1,576 | 17.9% |
[ 2.5% - 3.0% ] 2.52% | 159 | 1.3% |
[ 2.5% - 3.0% ] 2.61% | 8,571 | 3.0% |
[ 3.0% - 3.5% ] 3.08% | 130 | 1.6% |
[ 3.0% - 3.5% ] 3.23% | 279 | 16.8% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 23.9% |
[ 4.0% - 4.5% ] 4.04% | 4,135 | 9.3% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 3.3% |
[ 4.5% - 5.0% ] 4.56% | 548 | 11.7% |
[ 5.5% - 6.0% ] 5.98% | 5,065 | 9.6% |
[ 6.5% - 7.0% ] 6.68% | 853 | 4.5% |
[ 8.0% - 8.5% ] 8.28% | 157 | 29.4% |