Immigrants from Asia vs Immigrants from Moldova Female Poverty
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Immigrants from Asia
Immigrants from Moldova
Female Poverty
Female Poverty Comparison
Immigrants from Asia
Immigrants from Moldova
12.2%
FEMALE POVERTY
98.1/ 100
METRIC RATING
61st/ 347
METRIC RANK
11.9%
FEMALE POVERTY
99.2/ 100
METRIC RATING
42nd/ 347
METRIC RANK
Immigrants from Asia vs Immigrants from Moldova Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 548,172,468 people shows a weak positive correlation between the proportion of Immigrants from Asia and poverty level among females in the United States with a correlation coefficient (R) of 0.263 and weighted average of 12.2%. Similarly, 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%, a difference of 2.5%.
Female Poverty Correlation Summary
Measurement | Immigrants from Asia | Immigrants from Moldova |
Minimum | 2.9% | 2.8% |
Maximum | 66.7% | 27.5% |
Range | 63.7% | 24.7% |
Mean | 12.5% | 11.4% |
Median | 10.9% | 10.8% |
Interquartile 25% (IQ1) | 9.2% | 8.7% |
Interquartile 75% (IQ3) | 12.7% | 13.3% |
Interquartile Range (IQR) | 3.5% | 4.6% |
Standard Deviation (Sample) | 8.9% | 5.3% |
Standard Deviation (Population) | 8.8% | 5.2% |
Demographics Similar to Immigrants from Asia and Immigrants from Moldova by Female Poverty
In terms of female poverty, the demographic groups most similar to Immigrants from Asia are Immigrants from Australia (12.2%, a difference of 0.0%), Immigrants from Europe (12.1%, a difference of 0.25%), Scandinavian (12.1%, a difference of 0.26%), Immigrants from Serbia (12.1%, a difference of 0.34%), and Estonian (12.1%, a difference of 0.39%). Similarly, the demographic groups most similar to Immigrants from Moldova are Czech (11.9%, a difference of 0.0%), Korean (11.9%, a difference of 0.040%), Tongan (11.9%, a difference of 0.11%), Immigrants from Czechoslovakia (11.9%, a difference of 0.20%), and Turkish (11.9%, a difference of 0.20%).
Demographics | Rating | Rank | Female Poverty |
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% |
Immigrants | Asia | 98.1 /100 | #61 | Exceptional 12.2% |