Burmese vs Lithuanian Female Poverty
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Burmese
Lithuanian
Female Poverty
Female Poverty Comparison
Burmese
Lithuanians
11.6%
FEMALE POVERTY
99.7/ 100
METRIC RATING
23rd/ 347
METRIC RANK
11.4%
FEMALE POVERTY
99.8/ 100
METRIC RATING
14th/ 347
METRIC RANK
Burmese vs Lithuanian Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 464,783,365 people shows a weak positive correlation between the proportion of Burmese and poverty level among females in the United States with a correlation coefficient (R) of 0.276 and weighted average of 11.6%. Similarly, the statistical analysis conducted on geographies consisting of 421,598,229 people shows no correlation between the proportion of Lithuanians and poverty level among females in the United States with a correlation coefficient (R) of -0.034 and weighted average of 11.4%, a difference of 1.9%.
Female Poverty Correlation Summary
Measurement | Burmese | Lithuanian |
Minimum | 1.7% | 1.0% |
Maximum | 48.2% | 27.5% |
Range | 46.5% | 26.5% |
Mean | 11.4% | 11.1% |
Median | 9.3% | 9.8% |
Interquartile 25% (IQ1) | 6.5% | 8.2% |
Interquartile 75% (IQ3) | 11.9% | 13.5% |
Interquartile Range (IQR) | 5.5% | 5.2% |
Standard Deviation (Sample) | 9.7% | 5.7% |
Standard Deviation (Population) | 9.6% | 5.6% |
Demographics Similar to Burmese and Lithuanians by Female Poverty
In terms of female poverty, the demographic groups most similar to Burmese are Luxembourger (11.6%, a difference of 0.020%), Swedish (11.6%, a difference of 0.14%), Italian (11.6%, a difference of 0.17%), Immigrants from Northern Europe (11.6%, a difference of 0.28%), and Croatian (11.6%, a difference of 0.29%). Similarly, the demographic groups most similar to Lithuanians are Latvian (11.4%, a difference of 0.32%), Immigrants from Bolivia (11.5%, a difference of 0.80%), Bolivian (11.5%, a difference of 0.87%), Immigrants from Scotland (11.5%, a difference of 0.92%), and Immigrants from Lithuania (11.3%, a difference of 0.96%).
Demographics | Rating | Rank | Female Poverty |
Immigrants | South Central Asia | 99.9 /100 | #8 | Exceptional 11.1% |
Bulgarians | 99.9 /100 | #9 | Exceptional 11.1% |
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% |