Danish vs Polish Female Poverty
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Danish
Polish
Female Poverty
Female Poverty Comparison
Danes
Poles
11.7%
FEMALE POVERTY
99.5/ 100
METRIC RATING
32nd/ 347
METRIC RANK
11.7%
FEMALE POVERTY
99.5/ 100
METRIC RATING
31st/ 347
METRIC RANK
Danish vs Polish Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 473,673,857 people shows a moderate positive correlation between the proportion of Danes and poverty level among females in the United States with a correlation coefficient (R) of 0.432 and weighted average of 11.7%. Similarly, 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%, a difference of 0.13%.
Female Poverty Correlation Summary
Measurement | Danish | Polish |
Minimum | 1.4% | 1.6% |
Maximum | 50.0% | 87.1% |
Range | 48.6% | 85.5% |
Mean | 13.5% | 13.1% |
Median | 11.2% | 10.3% |
Interquartile 25% (IQ1) | 8.9% | 8.6% |
Interquartile 75% (IQ3) | 15.8% | 12.8% |
Interquartile Range (IQR) | 6.9% | 4.3% |
Standard Deviation (Sample) | 8.4% | 12.4% |
Standard Deviation (Population) | 8.3% | 12.4% |
Demographics Similar to Danes and Poles by Female Poverty
In terms of female poverty, the demographic groups most similar to Danes are Cypriot (11.8%, a difference of 0.070%), Immigrants from Singapore (11.8%, a difference of 0.19%), Greek (11.7%, a difference of 0.35%), Immigrants from Iran (11.8%, a difference of 0.36%), and Immigrants from North Macedonia (11.7%, a difference of 0.43%). Similarly, the demographic groups most similar to Poles are 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%), Immigrants from Singapore (11.8%, a difference of 0.32%), and Immigrants from Korea (11.7%, a difference of 0.45%).
Demographics | Rating | Rank | Female Poverty |
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% |
Russians | 99.3 /100 | #38 | Exceptional 11.8% |
Immigrants | Poland | 99.3 /100 | #39 | Exceptional 11.8% |
Macedonians | 99.3 /100 | #40 | Exceptional 11.8% |
Czechs | 99.2 /100 | #41 | Exceptional 11.9% |