Polish vs Bhutanese Poverty
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Polish
Bhutanese
Poverty
Poverty Comparison
Poles
Bhutanese
10.7%
POVERTY
99.5/ 100
METRIC RATING
31st/ 347
METRIC RANK
10.4%
POVERTY
99.8/ 100
METRIC RATING
12th/ 347
METRIC RANK
Polish vs Bhutanese Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 559,734,720 people shows a weak positive correlation between the proportion of Poles and poverty level in the United States with a correlation coefficient (R) of 0.288 and weighted average of 10.7%. Similarly, the statistical analysis conducted on geographies consisting of 455,158,170 people shows a weak positive correlation between the proportion of Bhutanese and poverty level in the United States with a correlation coefficient (R) of 0.226 and weighted average of 10.4%, a difference of 3.4%.
Poverty Correlation Summary
| Measurement | Polish | Bhutanese |
| Minimum | 0.55% | 1.3% |
| Maximum | 75.7% | 55.6% |
| Range | 75.2% | 54.3% |
| Mean | 12.1% | 10.1% |
| Median | 9.2% | 9.0% |
| Interquartile 25% (IQ1) | 7.8% | 6.3% |
| Interquartile 75% (IQ3) | 11.7% | 12.0% |
| Interquartile Range (IQR) | 3.9% | 5.6% |
| Standard Deviation (Sample) | 10.5% | 7.5% |
| Standard Deviation (Population) | 10.5% | 7.5% |
Demographics Similar to Poles and Bhutanese by Poverty
In terms of poverty, the demographic groups most similar to Poles are Danish (10.7%, a difference of 0.080%), Greek (10.7%, a difference of 0.090%), Immigrants from Korea (10.7%, a difference of 0.19%), Immigrants from Northern Europe (10.7%, a difference of 0.25%), and Burmese (10.7%, a difference of 0.61%). Similarly, the demographic groups most similar to Bhutanese are Immigrants from Hong Kong (10.4%, a difference of 0.22%), Immigrants from Lithuania (10.3%, a difference of 0.35%), Immigrants from Bolivia (10.4%, a difference of 0.53%), Bolivian (10.4%, a difference of 0.54%), and Lithuanian (10.5%, a difference of 0.84%).
| Demographics | Rating | Rank | Poverty |
| Immigrants | Lithuania | 99.9 /100 | #11 | Exceptional 10.3% |
| Bhutanese | 99.8 /100 | #12 | Exceptional 10.4% |
| Immigrants | Hong Kong | 99.8 /100 | #13 | Exceptional 10.4% |
| Immigrants | Bolivia | 99.8 /100 | #14 | Exceptional 10.4% |
| Bolivians | 99.8 /100 | #15 | Exceptional 10.4% |
| Lithuanians | 99.8 /100 | #16 | Exceptional 10.5% |
| Norwegians | 99.8 /100 | #17 | Exceptional 10.5% |
| Latvians | 99.8 /100 | #18 | Exceptional 10.5% |
| Immigrants | Scotland | 99.7 /100 | #19 | Exceptional 10.6% |
| Immigrants | North Macedonia | 99.7 /100 | #20 | Exceptional 10.6% |
| Luxembourgers | 99.7 /100 | #21 | Exceptional 10.6% |
| Eastern Europeans | 99.7 /100 | #22 | Exceptional 10.6% |
| Swedes | 99.7 /100 | #23 | Exceptional 10.6% |
| Italians | 99.7 /100 | #24 | Exceptional 10.6% |
| Croatians | 99.6 /100 | #25 | Exceptional 10.6% |
| Burmese | 99.6 /100 | #26 | Exceptional 10.7% |
| Immigrants | Northern Europe | 99.6 /100 | #27 | Exceptional 10.7% |
| Immigrants | Korea | 99.5 /100 | #28 | Exceptional 10.7% |
| Greeks | 99.5 /100 | #29 | Exceptional 10.7% |
| Danes | 99.5 /100 | #30 | Exceptional 10.7% |
| Poles | 99.5 /100 | #31 | Exceptional 10.7% |