Polish vs Asian Female Poverty
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Polish
Asian
Female Poverty
Female Poverty Comparison
Poles
Asians
11.7%
FEMALE POVERTY
99.5/ 100
METRIC RATING
31st/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.1/ 100
METRIC RATING
47th/ 347
METRIC RANK
Polish vs Asian 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 549,886,989 people shows a moderate negative correlation between the proportion of Asians and poverty level among females in the United States with a correlation coefficient (R) of -0.461 and weighted average of 11.9%, a difference of 1.6%.
Female Poverty Correlation Summary
Measurement | Polish | Asian |
Minimum | 1.6% | 1.9% |
Maximum | 87.1% | 21.9% |
Range | 85.5% | 20.0% |
Mean | 13.1% | 10.3% |
Median | 10.3% | 10.2% |
Interquartile 25% (IQ1) | 8.6% | 8.5% |
Interquartile 75% (IQ3) | 12.8% | 11.9% |
Interquartile Range (IQR) | 4.3% | 3.4% |
Standard Deviation (Sample) | 12.4% | 3.2% |
Standard Deviation (Population) | 12.4% | 3.2% |
Demographics Similar to Poles and Asians 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 Asians are Turkish (11.9%, a difference of 0.21%), Immigrants from Czechoslovakia (11.9%, a difference of 0.22%), Immigrants from Japan (11.9%, a difference of 0.23%), Tongan (11.9%, a difference of 0.31%), and Korean (11.9%, a difference of 0.38%).
Demographics | Rating | Rank | Female Poverty |
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% |
Immigrants | Moldova | 99.2 /100 | #42 | Exceptional 11.9% |
Koreans | 99.2 /100 | #43 | Exceptional 11.9% |
Tongans | 99.2 /100 | #44 | Exceptional 11.9% |
Immigrants | Czechoslovakia | 99.2 /100 | #45 | Exceptional 11.9% |
Turks | 99.2 /100 | #46 | Exceptional 11.9% |
Asians | 99.1 /100 | #47 | Exceptional 11.9% |
Immigrants | Japan | 99.0 /100 | #48 | Exceptional 11.9% |
Immigrants | Romania | 99.0 /100 | #49 | Exceptional 12.0% |