Czech vs Immigrants from Europe Female Poverty
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Czech
Immigrants from Europe
Female Poverty
Female Poverty Comparison
Czechs
Immigrants from Europe
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
41st/ 347
METRIC RANK
12.1%
FEMALE POVERTY
98.2/ 100
METRIC RATING
59th/ 347
METRIC RANK
Czech vs Immigrants from Europe Female Poverty Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 546,481,201 people shows a significant positive correlation between the proportion of Immigrants from Europe and poverty level among females in the United States with a correlation coefficient (R) of 0.689 and weighted average of 12.1%, a difference of 2.3%.
Female Poverty Correlation Summary
| Measurement | Czech | Immigrants from Europe |
| Minimum | 1.4% | 3.3% |
| Maximum | 31.4% | 75.4% |
| Range | 29.9% | 72.1% |
| Mean | 10.5% | 15.7% |
| Median | 10.6% | 11.8% |
| Interquartile 25% (IQ1) | 8.0% | 9.2% |
| Interquartile 75% (IQ3) | 12.3% | 16.5% |
| Interquartile Range (IQR) | 4.2% | 7.3% |
| Standard Deviation (Sample) | 4.8% | 12.2% |
| Standard Deviation (Population) | 4.8% | 12.1% |
Demographics Similar to Czechs and Immigrants from Europe by Female Poverty
In terms of female poverty, 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%). Similarly, the demographic groups most similar to Immigrants from Europe are Scandinavian (12.1%, a difference of 0.010%), Immigrants from Serbia (12.1%, a difference of 0.090%), Estonian (12.1%, a difference of 0.15%), Immigrants from Australia (12.2%, a difference of 0.24%), and Immigrants from Sri Lanka (12.1%, a difference of 0.40%).
| Demographics | Rating | Rank | Female Poverty |
| 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% |
| Estonians | 98.3 /100 | #56 | Exceptional 12.1% |
| Immigrants | Serbia | 98.3 /100 | #57 | Exceptional 12.1% |
| Scandinavians | 98.2 /100 | #58 | Exceptional 12.1% |
| Immigrants | Europe | 98.2 /100 | #59 | Exceptional 12.1% |
| Immigrants | Australia | 98.1 /100 | #60 | Exceptional 12.2% |