Lithuanian vs Polish Female Poverty
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Lithuanian
Polish
Female Poverty
Female Poverty Comparison
Lithuanians
Poles
11.4%
FEMALE POVERTY
99.8/ 100
METRIC RATING
14th/ 347
METRIC RANK
11.7%
FEMALE POVERTY
99.5/ 100
METRIC RATING
31st/ 347
METRIC RANK
Lithuanian vs Polish Female Poverty Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 559,323,396 people shows a weak positive correlation between the proportion of Poles and poverty level among females in the United States with a correlation coefficient (R) of 0.225 and weighted average of 11.7%, a difference of 2.9%.
Female Poverty Correlation Summary
Measurement | Lithuanian | Polish |
Minimum | 1.0% | 1.6% |
Maximum | 27.5% | 87.1% |
Range | 26.5% | 85.5% |
Mean | 11.1% | 13.1% |
Median | 9.8% | 10.3% |
Interquartile 25% (IQ1) | 8.2% | 8.6% |
Interquartile 75% (IQ3) | 13.5% | 12.8% |
Interquartile Range (IQR) | 5.2% | 4.3% |
Standard Deviation (Sample) | 5.7% | 12.4% |
Standard Deviation (Population) | 5.6% | 12.4% |
Demographics Similar to Lithuanians and Poles by Female Poverty
In terms of female poverty, 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%). Similarly, the demographic groups most similar to Poles are Danish (11.7%, a difference of 0.13%), Greek (11.7%, a difference of 0.22%), Immigrants from North Macedonia (11.7%, a difference of 0.30%), Immigrants from Korea (11.7%, a difference of 0.45%), and Iranian (11.7%, a difference of 0.66%).
Demographics | Rating | Rank | Female Poverty |
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% |
Poles | 99.5 /100 | #31 | Exceptional 11.7% |
Danes | 99.5 /100 | #32 | Exceptional 11.7% |