Immigrants from Moldova vs Czech Female Poverty
COMPARE
Immigrants from Moldova
Czech
Female Poverty
Female Poverty Comparison
Immigrants from Moldova
Czechs
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
42nd/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
41st/ 347
METRIC RANK
Immigrants from Moldova vs Czech Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 124,368,843 people shows a poor positive correlation between the proportion of Immigrants from Moldova and poverty level among females in the United States with a correlation coefficient (R) of 0.146 and weighted average of 11.9%. 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 0.0%.
Female Poverty Correlation Summary
Measurement | Immigrants from Moldova | Czech |
Minimum | 2.8% | 1.4% |
Maximum | 27.5% | 31.4% |
Range | 24.7% | 29.9% |
Mean | 11.4% | 10.5% |
Median | 10.8% | 10.6% |
Interquartile 25% (IQ1) | 8.7% | 8.0% |
Interquartile 75% (IQ3) | 13.3% | 12.3% |
Interquartile Range (IQR) | 4.6% | 4.2% |
Standard Deviation (Sample) | 5.3% | 4.8% |
Standard Deviation (Population) | 5.2% | 4.8% |
Demographics Similar to Immigrants from Moldova and Czechs by Female Poverty
In terms of female poverty, the demographic groups most similar to Immigrants from Moldova are Korean (11.9%, a difference of 0.040%), Tongan (11.9%, a difference of 0.11%), Macedonian (11.8%, a difference of 0.18%), Immigrants from Czechoslovakia (11.9%, a difference of 0.20%), and Turkish (11.9%, a difference of 0.20%). Similarly, the demographic groups most similar to Czechs are Korean (11.9%, a difference of 0.040%), Tongan (11.9%, a difference of 0.11%), Macedonian (11.8%, a difference of 0.18%), Immigrants from Czechoslovakia (11.9%, a difference of 0.20%), and Turkish (11.9%, a difference of 0.20%).
Demographics | Rating | Rank | Female Poverty |
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% |
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% |