Greek vs Maltese Female Poverty
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Greek
Maltese
Female Poverty
Female Poverty Comparison
Greeks
Maltese
11.7%
FEMALE POVERTY
99.5/ 100
METRIC RATING
30th/ 347
METRIC RANK
11.2%
FEMALE POVERTY
99.9/ 100
METRIC RATING
11th/ 347
METRIC RANK
Greek vs Maltese Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 482,170,203 people shows a significant positive correlation between the proportion of Greeks and poverty level among females in the United States with a correlation coefficient (R) of 0.700 and weighted average of 11.7%. Similarly, the statistical analysis conducted on geographies consisting of 126,421,821 people shows a weak positive correlation between the proportion of Maltese and poverty level among females in the United States with a correlation coefficient (R) of 0.280 and weighted average of 11.2%, a difference of 4.2%.
Female Poverty Correlation Summary
Measurement | Greek | Maltese |
Minimum | 0.85% | 0.74% |
Maximum | 100.0% | 37.5% |
Range | 99.2% | 36.8% |
Mean | 17.3% | 10.4% |
Median | 9.9% | 9.7% |
Interquartile 25% (IQ1) | 7.9% | 6.5% |
Interquartile 75% (IQ3) | 16.3% | 12.2% |
Interquartile Range (IQR) | 8.5% | 5.7% |
Standard Deviation (Sample) | 20.2% | 7.0% |
Standard Deviation (Population) | 20.0% | 6.9% |
Demographics Similar to Greeks and Maltese by Female Poverty
In terms of female poverty, the demographic groups most similar to Greeks are Immigrants from North Macedonia (11.7%, a difference of 0.080%), Immigrants from Korea (11.7%, a difference of 0.23%), Iranian (11.7%, a difference of 0.44%), Immigrants from Northern Europe (11.6%, a difference of 0.55%), and Croatian (11.6%, a difference of 0.55%). Similarly, the demographic groups most similar to Maltese are Immigrants from Hong Kong (11.2%, a difference of 0.11%), Bhutanese (11.3%, a difference of 0.46%), Immigrants from Lithuania (11.3%, a difference of 0.47%), Lithuanian (11.4%, a difference of 1.4%), and Latvian (11.4%, a difference of 1.8%).
Demographics | Rating | Rank | Female Poverty |
Immigrants | Hong Kong | 99.9 /100 | #10 | Exceptional 11.2% |
Maltese | 99.9 /100 | #11 | Exceptional 11.2% |
Bhutanese | 99.9 /100 | #12 | Exceptional 11.3% |
Immigrants | Lithuania | 99.9 /100 | #13 | Exceptional 11.3% |
Lithuanians | 99.8 /100 | #14 | Exceptional 11.4% |
Latvians | 99.8 /100 | #15 | Exceptional 11.4% |
Immigrants | Bolivia | 99.8 /100 | #16 | Exceptional 11.5% |
Bolivians | 99.8 /100 | #17 | Exceptional 11.5% |
Immigrants | Scotland | 99.8 /100 | #18 | Exceptional 11.5% |
Norwegians | 99.8 /100 | #19 | Exceptional 11.5% |
Eastern Europeans | 99.7 /100 | #20 | Exceptional 11.5% |
Italians | 99.7 /100 | #21 | Exceptional 11.6% |
Swedes | 99.7 /100 | #22 | Exceptional 11.6% |
Burmese | 99.7 /100 | #23 | Exceptional 11.6% |
Luxembourgers | 99.7 /100 | #24 | Exceptional 11.6% |
Immigrants | Northern Europe | 99.6 /100 | #25 | Exceptional 11.6% |
Croatians | 99.6 /100 | #26 | Exceptional 11.6% |
Iranians | 99.6 /100 | #27 | Exceptional 11.7% |
Immigrants | Korea | 99.6 /100 | #28 | Exceptional 11.7% |
Immigrants | North Macedonia | 99.6 /100 | #29 | Exceptional 11.7% |
Greeks | 99.5 /100 | #30 | Exceptional 11.7% |