Polish vs Korean Female Poverty
COMPARE
Polish
Korean
Female Poverty
Female Poverty Comparison
Poles
Koreans
11.7%
FEMALE POVERTY
99.5/ 100
METRIC RATING
31st/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
Polish vs Korean 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 510,221,953 people shows a slight negative correlation between the proportion of Koreans and poverty level among females in the United States with a correlation coefficient (R) of -0.054 and weighted average of 11.9%, a difference of 1.3%.
Female Poverty Correlation Summary
| Measurement | Polish | Korean |
| Minimum | 1.6% | 0.57% |
| Maximum | 87.1% | 30.9% |
| Range | 85.5% | 30.3% |
| Mean | 13.1% | 10.4% |
| Median | 10.3% | 9.8% |
| Interquartile 25% (IQ1) | 8.6% | 7.9% |
| Interquartile 75% (IQ3) | 12.8% | 11.9% |
| Interquartile Range (IQR) | 4.3% | 4.0% |
| Standard Deviation (Sample) | 12.4% | 4.3% |
| Standard Deviation (Population) | 12.4% | 4.3% |
Demographics Similar to Poles and Koreans 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 Koreans are Czech (11.9%, a difference of 0.040%), Immigrants from Moldova (11.9%, a difference of 0.040%), Tongan (11.9%, a difference of 0.070%), Immigrants from Czechoslovakia (11.9%, a difference of 0.16%), and Turkish (11.9%, a difference of 0.16%).
| Demographics | Rating | Rank | Female Poverty |
| 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% |
| 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% |