Slovene vs Czech Female Poverty
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Slovene
Czech
Female Poverty
Female Poverty Comparison
Slovenes
Czechs
12.0%
FEMALE POVERTY
98.9/ 100
METRIC RATING
50th/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
41st/ 347
METRIC RANK
Slovene vs Czech Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 261,242,953 people shows no correlation between the proportion of Slovenes and poverty level among females in the United States with a correlation coefficient (R) of -0.021 and weighted average of 12.0%. 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 0.85%.
Female Poverty Correlation Summary
| Measurement | Slovene | Czech |
| Minimum | 1.2% | 1.4% |
| Maximum | 33.1% | 31.4% |
| Range | 31.9% | 29.9% |
| Mean | 11.2% | 10.5% |
| Median | 10.3% | 10.6% |
| Interquartile 25% (IQ1) | 7.3% | 8.0% |
| Interquartile 75% (IQ3) | 13.9% | 12.3% |
| Interquartile Range (IQR) | 6.6% | 4.2% |
| Standard Deviation (Sample) | 5.1% | 4.8% |
| Standard Deviation (Population) | 5.1% | 4.8% |
Demographics Similar to Slovenes and Czechs by Female Poverty
In terms of female poverty, the demographic groups most similar to Slovenes are Immigrants from Romania (12.0%, a difference of 0.010%), Immigrants from Japan (11.9%, a difference of 0.20%), Immigrants from Bulgaria (12.0%, a difference of 0.22%), Asian (11.9%, a difference of 0.43%), and Immigrants from Croatia (12.0%, a difference of 0.52%). 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 Czechoslovakia (11.9%, a difference of 0.20%).
| Demographics | Rating | Rank | Female Poverty |
| 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% |
| Immigrants | Sri Lanka | 98.5 /100 | #55 | Exceptional 12.1% |