Czech vs Iranian Male Poverty
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Czech
Iranian
Male Poverty
Male Poverty Comparison
Czechs
Iranians
9.8%
MALE POVERTY
99.4/ 100
METRIC RATING
36th/ 347
METRIC RANK
9.8%
MALE POVERTY
99.4/ 100
METRIC RATING
35th/ 347
METRIC RANK
Czech vs Iranian Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 484,041,978 people shows a slight negative correlation between the proportion of Czechs and poverty level among males in the United States with a correlation coefficient (R) of -0.096 and weighted average of 9.8%. Similarly, the statistical analysis conducted on geographies consisting of 316,583,039 people shows a slight negative correlation between the proportion of Iranians and poverty level among males in the United States with a correlation coefficient (R) of -0.087 and weighted average of 9.8%, a difference of 0.090%.
Male Poverty Correlation Summary
| Measurement | Czech | Iranian |
| Minimum | 0.55% | 1.8% |
| Maximum | 50.0% | 22.1% |
| Range | 49.5% | 20.3% |
| Mean | 9.5% | 7.8% |
| Median | 8.7% | 7.4% |
| Interquartile 25% (IQ1) | 7.0% | 5.5% |
| Interquartile 75% (IQ3) | 10.4% | 9.1% |
| Interquartile Range (IQR) | 3.5% | 3.6% |
| Standard Deviation (Sample) | 6.4% | 3.4% |
| Standard Deviation (Population) | 6.4% | 3.3% |
Demographics Similar to Czechs and Iranians by Male Poverty
In terms of male poverty, the demographic groups most similar to Czechs are Immigrants from Greece (9.8%, a difference of 0.22%), Immigrants from Poland (9.8%, a difference of 0.39%), Immigrants from Northern Europe (9.7%, a difference of 0.54%), Immigrants from Pakistan (9.9%, a difference of 0.59%), and Russian (9.9%, a difference of 0.60%). Similarly, the demographic groups most similar to Iranians are Immigrants from Poland (9.8%, a difference of 0.30%), Immigrants from Greece (9.8%, a difference of 0.31%), Immigrants from Northern Europe (9.7%, a difference of 0.45%), Macedonian (9.7%, a difference of 0.54%), and Immigrants from Pakistan (9.9%, a difference of 0.68%).
| Demographics | Rating | Rank | Male Poverty |
| Eastern Europeans | 99.6 /100 | #25 | Exceptional 9.6% |
| Burmese | 99.6 /100 | #26 | Exceptional 9.7% |
| Danes | 99.6 /100 | #27 | Exceptional 9.7% |
| Immigrants | Korea | 99.6 /100 | #28 | Exceptional 9.7% |
| Greeks | 99.6 /100 | #29 | Exceptional 9.7% |
| Poles | 99.5 /100 | #30 | Exceptional 9.7% |
| Tongans | 99.5 /100 | #31 | Exceptional 9.7% |
| Macedonians | 99.5 /100 | #32 | Exceptional 9.7% |
| Immigrants | Northern Europe | 99.5 /100 | #33 | Exceptional 9.7% |
| Immigrants | Poland | 99.5 /100 | #34 | Exceptional 9.8% |
| Iranians | 99.4 /100 | #35 | Exceptional 9.8% |
| Czechs | 99.4 /100 | #36 | Exceptional 9.8% |
| Immigrants | Greece | 99.3 /100 | #37 | Exceptional 9.8% |
| Immigrants | Pakistan | 99.2 /100 | #38 | Exceptional 9.9% |
| Russians | 99.2 /100 | #39 | Exceptional 9.9% |
| Cypriots | 99.2 /100 | #40 | Exceptional 9.9% |
| Koreans | 99.2 /100 | #41 | Exceptional 9.9% |
| Immigrants | Iran | 99.1 /100 | #42 | Exceptional 9.9% |
| Immigrants | Moldova | 99.0 /100 | #43 | Exceptional 9.9% |
| Immigrants | Romania | 98.9 /100 | #44 | Exceptional 9.9% |
| Immigrants | Serbia | 98.9 /100 | #45 | Exceptional 10.0% |