Iranian vs Czech Female Poverty
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Iranian
Czech
Female Poverty
Female Poverty Comparison
Iranians
Czechs
11.7%
FEMALE POVERTY
99.6/ 100
METRIC RATING
27th/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
41st/ 347
METRIC RANK
Iranian vs Czech Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 316,618,692 people shows no correlation between the proportion of Iranians and poverty level among females in the United States with a correlation coefficient (R) of -0.047 and weighted average of 11.7%. 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 1.9%.
Female Poverty Correlation Summary
| Measurement | Iranian | Czech |
| Minimum | 3.6% | 1.4% |
| Maximum | 31.0% | 31.4% |
| Range | 27.5% | 29.9% |
| Mean | 9.7% | 10.5% |
| Median | 9.0% | 10.6% |
| Interquartile 25% (IQ1) | 7.3% | 8.0% |
| Interquartile 75% (IQ3) | 11.0% | 12.3% |
| Interquartile Range (IQR) | 3.7% | 4.2% |
| Standard Deviation (Sample) | 4.7% | 4.8% |
| Standard Deviation (Population) | 4.6% | 4.8% |
Demographics Similar to Iranians and Czechs by Female Poverty
In terms of female poverty, the demographic groups most similar to Iranians are Immigrants from Northern Europe (11.6%, a difference of 0.11%), Croatian (11.6%, a difference of 0.11%), Immigrants from Korea (11.7%, a difference of 0.21%), Immigrants from North Macedonia (11.7%, a difference of 0.36%), and Luxembourger (11.6%, a difference of 0.38%). Similarly, the demographic groups most similar to Czechs are Immigrants from Moldova (11.9%, a difference of 0.0%), Korean (11.9%, a difference of 0.040%), Tongan (11.9%, a difference of 0.11%), Macedonian (11.8%, a difference of 0.18%), and Immigrants from Poland (11.8%, a difference of 0.23%).
| Demographics | Rating | Rank | Female Poverty |
| 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% |
| Tongans | 99.2 /100 | #44 | Exceptional 11.9% |