Burmese vs Korean Female Poverty
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Burmese
Korean
Female Poverty
Female Poverty Comparison
Burmese
Koreans
11.6%
FEMALE POVERTY
99.7/ 100
METRIC RATING
23rd/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
Burmese vs Korean Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 464,783,365 people shows a weak positive correlation between the proportion of Burmese and poverty level among females in the United States with a correlation coefficient (R) of 0.276 and weighted average of 11.6%. 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 2.3%.
Female Poverty Correlation Summary
| Measurement | Burmese | Korean |
| Minimum | 1.7% | 0.57% |
| Maximum | 48.2% | 30.9% |
| Range | 46.5% | 30.3% |
| Mean | 11.4% | 10.4% |
| Median | 9.3% | 9.8% |
| Interquartile 25% (IQ1) | 6.5% | 7.9% |
| Interquartile 75% (IQ3) | 11.9% | 11.9% |
| Interquartile Range (IQR) | 5.5% | 4.0% |
| Standard Deviation (Sample) | 9.7% | 4.3% |
| Standard Deviation (Population) | 9.6% | 4.3% |
Demographics Similar to Burmese and Koreans by Female Poverty
In terms of female poverty, the demographic groups most similar to Burmese are Luxembourger (11.6%, a difference of 0.020%), Immigrants from Northern Europe (11.6%, a difference of 0.28%), Croatian (11.6%, a difference of 0.29%), Iranian (11.7%, a difference of 0.40%), and Immigrants from Korea (11.7%, a difference of 0.61%). 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%), Macedonian (11.8%, a difference of 0.22%), Immigrants from Poland (11.8%, a difference of 0.27%), and Russian (11.8%, a difference of 0.48%).
| Demographics | Rating | Rank | Female Poverty |
| 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% |
| Immigrants | Moldova | 99.2 /100 | #42 | Exceptional 11.9% |
| Koreans | 99.2 /100 | #43 | Exceptional 11.9% |