Korean vs Turkish Female Poverty
COMPARE
Korean
Turkish
Female Poverty
Female Poverty Comparison
Koreans
Turks
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
46th/ 347
METRIC RANK
Korean vs Turkish 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 271,658,978 people shows a slight negative correlation between the proportion of Turks and poverty level among females in the United States with a correlation coefficient (R) of -0.052 and weighted average of 11.9%, a difference of 0.16%.
Female Poverty Correlation Summary
| Measurement | Korean | Turkish |
| Minimum | 0.57% | 0.67% |
| Maximum | 30.9% | 22.9% |
| Range | 30.3% | 22.2% |
| Mean | 10.4% | 10.0% |
| Median | 9.8% | 9.8% |
| Interquartile 25% (IQ1) | 7.9% | 7.5% |
| Interquartile 75% (IQ3) | 11.9% | 12.6% |
| Interquartile Range (IQR) | 4.0% | 5.1% |
| Standard Deviation (Sample) | 4.3% | 4.9% |
| Standard Deviation (Population) | 4.3% | 4.8% |
Demographics Similar to Koreans and Turks by Female Poverty
In terms of female poverty, 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 Macedonian (11.8%, a difference of 0.22%). Similarly, the demographic groups most similar to Turks are Immigrants from Czechoslovakia (11.9%, a difference of 0.0%), Tongan (11.9%, a difference of 0.10%), Czech (11.9%, a difference of 0.20%), Immigrants from Moldova (11.9%, a difference of 0.20%), and Asian (11.9%, a difference of 0.21%).
| Demographics | Rating | Rank | Female Poverty |
| 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% |
| Immigrants | Philippines | 98.7 /100 | #54 | Exceptional 12.1% |