Maltese vs Burmese Single Female Poverty
COMPARE
Maltese
Burmese
Single Female Poverty
Single Female Poverty Comparison
Maltese
Burmese
18.3%
SINGLE FEMALE POVERTY
100.0/ 100
METRIC RATING
21st/ 347
METRIC RANK
18.3%
SINGLE FEMALE POVERTY
100.0/ 100
METRIC RATING
22nd/ 347
METRIC RANK
Maltese vs Burmese Single Female Poverty Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 455,450,200 people shows a slight positive correlation between the proportion of Burmese and poverty level among single females in the United States with a correlation coefficient (R) of 0.055 and weighted average of 18.3%, a difference of 0.010%.
Single Female Poverty Correlation Summary
| Measurement | Maltese | Burmese |
| Minimum | 3.3% | 1.8% |
| Maximum | 100.0% | 43.2% |
| Range | 96.7% | 41.3% |
| Mean | 25.4% | 16.0% |
| Median | 17.4% | 15.4% |
| Interquartile 25% (IQ1) | 14.1% | 11.7% |
| Interquartile 75% (IQ3) | 31.2% | 19.5% |
| Interquartile Range (IQR) | 17.1% | 7.9% |
| Standard Deviation (Sample) | 20.2% | 6.6% |
| Standard Deviation (Population) | 19.9% | 6.5% |
Demographics Similar to Maltese and Burmese by Single Female Poverty
In terms of single female poverty, the demographic groups most similar to Maltese are 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%), Immigrants from Singapore (18.3%, a difference of 0.34%), and Immigrants from Israel (18.3%, a difference of 0.37%). Similarly, the demographic groups most similar to Burmese are Asian (18.3%, a difference of 0.0%), Immigrants from Greece (18.3%, a difference of 0.070%), Armenian (18.3%, a difference of 0.23%), Immigrants from Singapore (18.3%, a difference of 0.33%), and Immigrants from Israel (18.3%, a difference of 0.35%).
| Demographics | Rating | Rank | Single Female Poverty |
| 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% |
| Immigrants | Poland | 100.0 /100 | #29 | Exceptional 18.5% |
| Immigrants | North Macedonia | 99.9 /100 | #30 | Exceptional 18.5% |
| Immigrants | Asia | 99.9 /100 | #31 | Exceptional 18.6% |