Chinese Single Male Poverty
COMPARE
Chinese
Select to Compare
Single Male Poverty
Chinese Single Male Poverty
11.0%
POVERTY | SINGLE MALES
100.0/ 100
METRIC RATING
14th/ 347
METRIC RANK
Chinese Single Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 62,746,830 people shows a mild positive correlation between the proportion of Chinese and poverty level among single males in the United States with a correlation coefficient (R) of 0.376 and weighted average of 11.0%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 3.1% in poverty level among single males.
It is essential to understand that the correlation between the percentage of Chinese and poverty level among single 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 single males within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of poverty level among single males due to other factors.
Demographics Similar to Chinese by Single Male Poverty
In terms of single male poverty, the demographic groups most similar to Chinese are Korean (11.0%, a difference of 0.050%), Immigrants from South Central Asia (10.9%, a difference of 0.57%), Immigrants from Afghanistan (10.9%, a difference of 0.69%), Immigrants from Philippines (10.9%, a difference of 0.76%), and Immigrants from Fiji (10.9%, a difference of 0.78%).
Demographics | Rating | Rank | Single Male Poverty |
Afghans | 100.0 /100 | #7 | Exceptional 10.7% |
Thais | 100.0 /100 | #8 | Exceptional 10.8% |
Taiwanese | 100.0 /100 | #9 | Exceptional 10.9% |
Immigrants from Fiji | 100.0 /100 | #10 | Exceptional 10.9% |
Immigrants from Philippines | 100.0 /100 | #11 | Exceptional 10.9% |
Immigrants from Afghanistan | 100.0 /100 | #12 | Exceptional 10.9% |
Immigrants from South Central Asia | 100.0 /100 | #13 | Exceptional 10.9% |
Chinese | 100.0 /100 | #14 | Exceptional 11.0% |
Koreans | 100.0 /100 | #15 | Exceptional 11.0% |
Bhutanese | 100.0 /100 | #16 | Exceptional 11.1% |
Tsimshian | 100.0 /100 | #17 | Exceptional 11.1% |
Immigrants from Bolivia | 100.0 /100 | #18 | Exceptional 11.1% |
Immigrants from Moldova | 100.0 /100 | #19 | Exceptional 11.2% |
Ethiopians | 100.0 /100 | #20 | Exceptional 11.2% |
Asians | 100.0 /100 | #21 | Exceptional 11.2% |
Chinese Single Male Poverty Correlation Summary
Measurement | Chinese Data | Single Male Poverty Data |
Minimum | 0.0086% | 1.5% |
Maximum | 6.0% | 57.9% |
Range | 6.0% | 56.4% |
Mean | 1.2% | 11.9% |
Median | 0.89% | 11.1% |
Interquartile 25% (IQ1) | 0.43% | 5.7% |
Interquartile 75% (IQ3) | 1.6% | 13.8% |
Interquartile Range (IQR) | 1.1% | 8.1% |
Standard Deviation (Sample) | 1.1% | 9.3% |
Standard Deviation (Population) | 1.1% | 9.2% |
Correlation Details
Chinese Percentile | Sample Size | Single Male Poverty |
[ 0.0% - 0.5% ] 0.0086% | 52,568,319 | 12.5% |
[ 0.0% - 0.5% ] 0.059% | 4,468,672 | 11.1% |
[ 0.0% - 0.5% ] 0.10% | 1,398,478 | 10.5% |
[ 0.0% - 0.5% ] 0.14% | 905,390 | 13.5% |
[ 0.0% - 0.5% ] 0.19% | 427,869 | 18.4% |
[ 0.0% - 0.5% ] 0.22% | 231,572 | 15.7% |
[ 0.0% - 0.5% ] 0.27% | 164,774 | 11.7% |
[ 0.0% - 0.5% ] 0.31% | 217,033 | 11.5% |
[ 0.0% - 0.5% ] 0.35% | 167,832 | 12.9% |
[ 0.0% - 0.5% ] 0.39% | 83,678 | 14.9% |
[ 0.0% - 0.5% ] 0.43% | 122,830 | 10.0% |
[ 0.0% - 0.5% ] 0.47% | 53,607 | 17.8% |
[ 0.5% - 1.0% ] 0.52% | 115,502 | 19.8% |
[ 0.5% - 1.0% ] 0.56% | 54,435 | 26.7% |
[ 0.5% - 1.0% ] 0.60% | 226,340 | 4.0% |
[ 0.5% - 1.0% ] 0.66% | 30,780 | 7.5% |
[ 0.5% - 1.0% ] 0.70% | 107,984 | 10.5% |
[ 0.5% - 1.0% ] 0.72% | 69,615 | 12.7% |
[ 0.5% - 1.0% ] 0.78% | 422,063 | 10.0% |
[ 0.5% - 1.0% ] 0.82% | 23,846 | 13.4% |
[ 0.5% - 1.0% ] 0.83% | 143,651 | 6.7% |
[ 0.5% - 1.0% ] 0.89% | 77,352 | 10.3% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 1.5% |
[ 1.0% - 1.5% ] 1.00% | 54,182 | 13.8% |
[ 1.0% - 1.5% ] 1.07% | 187 | 20.0% |
[ 1.0% - 1.5% ] 1.09% | 37,134 | 22.8% |
[ 1.0% - 1.5% ] 1.18% | 24,765 | 2.9% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 9.2% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 2.9% |
[ 1.0% - 1.5% ] 1.33% | 25,957 | 1.6% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 4.2% |
[ 1.0% - 1.5% ] 1.45% | 45,038 | 12.4% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 1.9% |
[ 1.5% - 2.0% ] 1.63% | 38,674 | 5.5% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 5.3% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 4.9% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 7.5% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 5.7% |
[ 1.5% - 2.0% ] 1.87% | 10,110 | 18.3% |
[ 2.0% - 2.5% ] 2.14% | 55,888 | 13.4% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 11.6% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 6.2% |
[ 5.5% - 6.0% ] 5.98% | 5,065 | 57.9% |