Polish vs Burmese Female Poverty
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Polish
Burmese
Female Poverty
Female Poverty Comparison
Poles
Burmese
11.7%
FEMALE POVERTY
99.5/ 100
METRIC RATING
31st/ 347
METRIC RANK
11.6%
FEMALE POVERTY
99.7/ 100
METRIC RATING
23rd/ 347
METRIC RANK
Polish vs Burmese Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 559,323,396 people shows a weak positive correlation between the proportion of Poles and poverty level among females in the United States with a correlation coefficient (R) of 0.225 and weighted average of 11.7%. Similarly, the statistical analysis conducted on geographies consisting of 464,783,365 people shows a weak positive correlation between the proportion of Burmese and poverty level among females in the United States with a correlation coefficient (R) of 0.276 and weighted average of 11.6%, a difference of 1.1%.
Female Poverty Correlation Summary
| Measurement | Polish | Burmese |
| Minimum | 1.6% | 1.7% |
| Maximum | 87.1% | 48.2% |
| Range | 85.5% | 46.5% |
| Mean | 13.1% | 11.4% |
| Median | 10.3% | 9.3% |
| Interquartile 25% (IQ1) | 8.6% | 6.5% |
| Interquartile 75% (IQ3) | 12.8% | 11.9% |
| Interquartile Range (IQR) | 4.3% | 5.5% |
| Standard Deviation (Sample) | 12.4% | 9.7% |
| Standard Deviation (Population) | 12.4% | 9.6% |
Demographics Similar to Poles and Burmese by Female Poverty
In terms of female poverty, the demographic groups most similar to Poles are Danish (11.7%, a difference of 0.13%), Cypriot (11.8%, a difference of 0.21%), Greek (11.7%, a difference of 0.22%), Immigrants from North Macedonia (11.7%, a difference of 0.30%), and Immigrants from Singapore (11.8%, a difference of 0.32%). Similarly, the demographic groups most similar to Burmese are Luxembourger (11.6%, a difference of 0.020%), Swedish (11.6%, a difference of 0.14%), Italian (11.6%, a difference of 0.17%), Immigrants from Northern Europe (11.6%, a difference of 0.28%), and Croatian (11.6%, a difference of 0.29%).
| Demographics | Rating | Rank | Female Poverty |
| Bolivians | 99.8 /100 | #17 | Exceptional 11.5% |
| Immigrants | Scotland | 99.8 /100 | #18 | Exceptional 11.5% |
| Norwegians | 99.8 /100 | #19 | Exceptional 11.5% |
| Eastern Europeans | 99.7 /100 | #20 | Exceptional 11.5% |
| Italians | 99.7 /100 | #21 | Exceptional 11.6% |
| Swedes | 99.7 /100 | #22 | Exceptional 11.6% |
| Burmese | 99.7 /100 | #23 | Exceptional 11.6% |
| Luxembourgers | 99.7 /100 | #24 | Exceptional 11.6% |
| Immigrants | Northern Europe | 99.6 /100 | #25 | Exceptional 11.6% |
| Croatians | 99.6 /100 | #26 | Exceptional 11.6% |
| Iranians | 99.6 /100 | #27 | Exceptional 11.7% |
| Immigrants | Korea | 99.6 /100 | #28 | Exceptional 11.7% |
| Immigrants | North Macedonia | 99.6 /100 | #29 | Exceptional 11.7% |
| Greeks | 99.5 /100 | #30 | Exceptional 11.7% |
| Poles | 99.5 /100 | #31 | Exceptional 11.7% |
| Danes | 99.5 /100 | #32 | Exceptional 11.7% |
| Cypriots | 99.5 /100 | #33 | Exceptional 11.8% |
| Immigrants | Singapore | 99.4 /100 | #34 | Exceptional 11.8% |
| Immigrants | Iran | 99.4 /100 | #35 | Exceptional 11.8% |
| Immigrants | Pakistan | 99.4 /100 | #36 | Exceptional 11.8% |
| Immigrants | Greece | 99.3 /100 | #37 | Exceptional 11.8% |