Tongan vs Korean Female Poverty
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Tongan
Korean
Female Poverty
Female Poverty Comparison
Tongans
Koreans
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
44th/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
Tongan vs Korean Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 102,866,719 people shows a poor positive correlation between the proportion of Tongans and poverty level among females in the United States with a correlation coefficient (R) of 0.143 and weighted average of 11.9%. 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 0.070%.
Female Poverty Correlation Summary
Measurement | Tongan | Korean |
Minimum | 5.1% | 0.57% |
Maximum | 22.7% | 30.9% |
Range | 17.6% | 30.3% |
Mean | 11.8% | 10.4% |
Median | 11.2% | 9.8% |
Interquartile 25% (IQ1) | 9.7% | 7.9% |
Interquartile 75% (IQ3) | 13.3% | 11.9% |
Interquartile Range (IQR) | 3.6% | 4.0% |
Standard Deviation (Sample) | 3.6% | 4.3% |
Standard Deviation (Population) | 3.6% | 4.3% |
Demographics Similar to Tongans and Koreans by Female Poverty
In terms of female poverty, the demographic groups most similar to Tongans are Immigrants from Czechoslovakia (11.9%, a difference of 0.090%), Turkish (11.9%, a difference of 0.10%), Czech (11.9%, a difference of 0.11%), Immigrants from Moldova (11.9%, a difference of 0.11%), and Macedonian (11.8%, a difference of 0.29%). 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%), Immigrants from Czechoslovakia (11.9%, a difference of 0.16%), Turkish (11.9%, a difference of 0.16%), and Macedonian (11.8%, a difference of 0.22%).
Demographics | Rating | Rank | Female Poverty |
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% |
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% |