Thai vs Asian Single Male Poverty
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Thai
Asian
Single Male Poverty
Single Male Poverty Comparison
Thais
Asians
10.8%
SINGLE MALE POVERTY
100.0/ 100
METRIC RATING
8th/ 347
METRIC RANK
11.2%
SINGLE MALE POVERTY
100.0/ 100
METRIC RATING
21st/ 347
METRIC RANK
Thai vs Asian Single Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 412,300,186 people shows no correlation between the proportion of Thais and poverty level among single males in the United States with a correlation coefficient (R) of -0.008 and weighted average of 10.8%. Similarly, the statistical analysis conducted on geographies consisting of 462,594,480 people shows a weak negative correlation between the proportion of Asians and poverty level among single males in the United States with a correlation coefficient (R) of -0.205 and weighted average of 11.2%, a difference of 4.2%.

Single Male Poverty Correlation Summary
Measurement | Thai | Asian |
Minimum | 0.44% | 0.83% |
Maximum | 31.0% | 25.0% |
Range | 30.6% | 24.2% |
Mean | 9.7% | 10.5% |
Median | 9.3% | 10.5% |
Interquartile 25% (IQ1) | 6.4% | 8.1% |
Interquartile 75% (IQ3) | 12.0% | 12.7% |
Interquartile Range (IQR) | 5.6% | 4.6% |
Standard Deviation (Sample) | 5.0% | 4.0% |
Standard Deviation (Population) | 4.9% | 4.0% |
Demographics Similar to Thais and Asians by Single Male Poverty
In terms of single male poverty, the demographic groups most similar to Thais are Afghan (10.7%, a difference of 0.47%), Filipino (10.6%, a difference of 1.2%), Taiwanese (10.9%, a difference of 1.3%), Immigrants from Fiji (10.9%, a difference of 1.3%), and Immigrants from Philippines (10.9%, a difference of 1.3%). Similarly, the demographic groups most similar to Asians are Immigrants from Pakistan (11.2%, a difference of 0.090%), Bolivian (11.2%, a difference of 0.30%), Ethiopian (11.2%, a difference of 0.34%), Immigrants from Moldova (11.2%, a difference of 0.37%), and Indian (Asian) (11.3%, a difference of 0.50%).
Demographics | Rating | Rank | Single Male Poverty |
Immigrants | Hong Kong | 100.0 /100 | #4 | Exceptional 10.4% |
Tongans | 100.0 /100 | #5 | Exceptional 10.5% |
Filipinos | 100.0 /100 | #6 | Exceptional 10.6% |
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 | Fiji | 100.0 /100 | #10 | Exceptional 10.9% |
Immigrants | Philippines | 100.0 /100 | #11 | Exceptional 10.9% |
Immigrants | Afghanistan | 100.0 /100 | #12 | Exceptional 10.9% |
Immigrants | 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 | Bolivia | 100.0 /100 | #18 | Exceptional 11.1% |
Immigrants | Moldova | 100.0 /100 | #19 | Exceptional 11.2% |
Ethiopians | 100.0 /100 | #20 | Exceptional 11.2% |
Asians | 100.0 /100 | #21 | Exceptional 11.2% |
Immigrants | Pakistan | 100.0 /100 | #22 | Exceptional 11.2% |
Bolivians | 100.0 /100 | #23 | Exceptional 11.2% |
Indians (Asian) | 100.0 /100 | #24 | Exceptional 11.3% |