Slovene vs Korean Female Poverty
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Slovene
Korean
Female Poverty
Female Poverty Comparison
Slovenes
Koreans
12.0%
FEMALE POVERTY
98.9/ 100
METRIC RATING
50th/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
Slovene vs Korean Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 261,242,953 people shows no correlation between the proportion of Slovenes and poverty level among females in the United States with a correlation coefficient (R) of -0.021 and weighted average of 12.0%. 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 0.81%.

Female Poverty Correlation Summary
Measurement | Slovene | Korean |
Minimum | 1.2% | 0.57% |
Maximum | 33.1% | 30.9% |
Range | 31.9% | 30.3% |
Mean | 11.2% | 10.4% |
Median | 10.3% | 9.8% |
Interquartile 25% (IQ1) | 7.3% | 7.9% |
Interquartile 75% (IQ3) | 13.9% | 11.9% |
Interquartile Range (IQR) | 6.6% | 4.0% |
Standard Deviation (Sample) | 5.1% | 4.3% |
Standard Deviation (Population) | 5.1% | 4.3% |
Demographics Similar to Slovenes and Koreans by Female Poverty
In terms of female poverty, the demographic groups most similar to Slovenes are Immigrants from Romania (12.0%, a difference of 0.010%), Immigrants from Japan (11.9%, a difference of 0.20%), Immigrants from Bulgaria (12.0%, a difference of 0.22%), Asian (11.9%, a difference of 0.43%), and Immigrants from Croatia (12.0%, a difference of 0.52%). 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 |
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% |
Slovenes | 98.9 /100 | #50 | Exceptional 12.0% |
Immigrants | Bulgaria | 98.9 /100 | #51 | Exceptional 12.0% |
Immigrants | Croatia | 98.7 /100 | #52 | Exceptional 12.0% |
Immigrants | Austria | 98.7 /100 | #53 | Exceptional 12.0% |
Immigrants | Philippines | 98.7 /100 | #54 | Exceptional 12.1% |
Immigrants | Sri Lanka | 98.5 /100 | #55 | Exceptional 12.1% |
Estonians | 98.3 /100 | #56 | Exceptional 12.1% |