Indian (Asian) vs Maltese Single Female Poverty
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Indian (Asian)
Maltese
Single Female Poverty
Single Female Poverty Comparison
Indians (Asian)
Maltese
17.9%
SINGLE FEMALE POVERTY
100.0/ 100
METRIC RATING
15th/ 347
METRIC RANK
18.3%
SINGLE FEMALE POVERTY
100.0/ 100
METRIC RATING
21st/ 347
METRIC RANK
Indian (Asian) vs Maltese Single Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 483,253,971 people shows a poor negative correlation between the proportion of Indians (Asian) and poverty level among single females in the United States with a correlation coefficient (R) of -0.190 and weighted average of 17.9%. Similarly, the statistical analysis conducted on geographies consisting of 125,419,200 people shows a substantial positive correlation between the proportion of Maltese and poverty level among single females in the United States with a correlation coefficient (R) of 0.593 and weighted average of 18.3%, a difference of 1.8%.
Single Female Poverty Correlation Summary
| Measurement | Indian (Asian) | Maltese |
| Minimum | 4.6% | 3.3% |
| Maximum | 26.6% | 100.0% |
| Range | 21.9% | 96.7% |
| Mean | 15.3% | 25.4% |
| Median | 15.4% | 17.4% |
| Interquartile 25% (IQ1) | 12.4% | 14.1% |
| Interquartile 75% (IQ3) | 18.6% | 31.2% |
| Interquartile Range (IQR) | 6.2% | 17.1% |
| Standard Deviation (Sample) | 4.6% | 20.2% |
| Standard Deviation (Population) | 4.6% | 19.9% |
Demographics Similar to Indians (Asian) and Maltese by Single Female Poverty
In terms of single female poverty, the demographic groups most similar to Indians (Asian) are Bolivian (17.9%, a difference of 0.15%), Iranian (18.0%, a difference of 0.16%), Immigrants from Bolivia (17.8%, a difference of 0.59%), Immigrants from Korea (18.1%, a difference of 0.76%), and Immigrants from South Central Asia (17.8%, a difference of 0.85%). Similarly, the demographic groups most similar to Maltese are Burmese (18.3%, a difference of 0.010%), Asian (18.3%, a difference of 0.020%), Immigrants from Greece (18.3%, a difference of 0.060%), Armenian (18.3%, a difference of 0.24%), and Immigrants from Singapore (18.3%, a difference of 0.34%).
| Demographics | Rating | Rank | Single Female Poverty |
| Immigrants | Iran | 100.0 /100 | #8 | Exceptional 17.5% |
| Bhutanese | 100.0 /100 | #9 | Exceptional 17.7% |
| Immigrants | Ireland | 100.0 /100 | #10 | Exceptional 17.8% |
| Immigrants | Lithuania | 100.0 /100 | #11 | Exceptional 17.8% |
| Immigrants | South Central Asia | 100.0 /100 | #12 | Exceptional 17.8% |
| Immigrants | Bolivia | 100.0 /100 | #13 | Exceptional 17.8% |
| Bolivians | 100.0 /100 | #14 | Exceptional 17.9% |
| Indians (Asian) | 100.0 /100 | #15 | Exceptional 17.9% |
| Iranians | 100.0 /100 | #16 | Exceptional 18.0% |
| Immigrants | Korea | 100.0 /100 | #17 | Exceptional 18.1% |
| Immigrants | Eastern Asia | 100.0 /100 | #18 | Exceptional 18.1% |
| Immigrants | China | 100.0 /100 | #19 | Exceptional 18.1% |
| Immigrants | Greece | 100.0 /100 | #20 | Exceptional 18.3% |
| Maltese | 100.0 /100 | #21 | Exceptional 18.3% |
| Burmese | 100.0 /100 | #22 | Exceptional 18.3% |
| Asians | 100.0 /100 | #23 | Exceptional 18.3% |
| Armenians | 100.0 /100 | #24 | Exceptional 18.3% |
| Immigrants | Singapore | 100.0 /100 | #25 | Exceptional 18.3% |
| Immigrants | Israel | 100.0 /100 | #26 | Exceptional 18.3% |
| Immigrants | Pakistan | 100.0 /100 | #27 | Exceptional 18.4% |
| Immigrants | Moldova | 100.0 /100 | #28 | Exceptional 18.5% |