Korean vs Czech Female Poverty
COMPARE
Korean
Czech
Female Poverty
Female Poverty Comparison
Koreans
Czechs
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
41st/ 347
METRIC RANK
Korean vs Czech Female Poverty Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 484,224,691 people shows a weak negative correlation between the proportion of Czechs and poverty level among females in the United States with a correlation coefficient (R) of -0.229 and weighted average of 11.9%, a difference of 0.040%.
Female Poverty Correlation Summary
| Measurement | Korean | Czech |
| Minimum | 0.57% | 1.4% |
| Maximum | 30.9% | 31.4% |
| Range | 30.3% | 29.9% |
| Mean | 10.4% | 10.5% |
| Median | 9.8% | 10.6% |
| Interquartile 25% (IQ1) | 7.9% | 8.0% |
| Interquartile 75% (IQ3) | 11.9% | 12.3% |
| Interquartile Range (IQR) | 4.0% | 4.2% |
| Standard Deviation (Sample) | 4.3% | 4.8% |
| Standard Deviation (Population) | 4.3% | 4.8% |
Demographics Similar to Koreans and Czechs by Female Poverty
In terms of female poverty, the demographic groups most similar to Koreans are 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%), Turkish (11.9%, a difference of 0.16%), and Macedonian (11.8%, a difference of 0.22%). Similarly, the demographic groups most similar to Czechs are Immigrants from Moldova (11.9%, a difference of 0.0%), Tongan (11.9%, a difference of 0.11%), Macedonian (11.8%, a difference of 0.18%), Immigrants from Czechoslovakia (11.9%, a difference of 0.20%), and Turkish (11.9%, a difference of 0.20%).
| Demographics | Rating | Rank | Female Poverty |
| 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% |
| 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% |