Burmese vs Lithuanian Poverty
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Burmese
Lithuanian
Poverty
Poverty Comparison
Burmese
Lithuanians
10.7%
POVERTY
99.6/ 100
METRIC RATING
26th/ 347
METRIC RANK
10.5%
POVERTY
99.8/ 100
METRIC RATING
16th/ 347
METRIC RANK
Burmese vs Lithuanian Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 464,896,901 people shows a poor positive correlation between the proportion of Burmese and poverty level in the United States with a correlation coefficient (R) of 0.173 and weighted average of 10.7%. Similarly, the statistical analysis conducted on geographies consisting of 421,719,572 people shows a slight positive correlation between the proportion of Lithuanians and poverty level in the United States with a correlation coefficient (R) of 0.093 and weighted average of 10.5%, a difference of 1.9%.
Poverty Correlation Summary
Measurement | Burmese | Lithuanian |
Minimum | 1.6% | 0.071% |
Maximum | 37.7% | 29.6% |
Range | 36.2% | 29.5% |
Mean | 9.3% | 10.3% |
Median | 8.4% | 9.2% |
Interquartile 25% (IQ1) | 5.8% | 7.3% |
Interquartile 75% (IQ3) | 10.8% | 12.5% |
Interquartile Range (IQR) | 4.9% | 5.2% |
Standard Deviation (Sample) | 6.2% | 5.4% |
Standard Deviation (Population) | 6.1% | 5.4% |
Demographics Similar to Burmese and Lithuanians by Poverty
In terms of poverty, the demographic groups most similar to Burmese are Croatian (10.6%, a difference of 0.31%), Immigrants from Northern Europe (10.7%, a difference of 0.36%), Immigrants from Korea (10.7%, a difference of 0.42%), Italian (10.6%, a difference of 0.50%), and Greek (10.7%, a difference of 0.52%). Similarly, the demographic groups most similar to Lithuanians are Bolivian (10.4%, a difference of 0.30%), Immigrants from Bolivia (10.4%, a difference of 0.31%), Norwegian (10.5%, a difference of 0.37%), Latvian (10.5%, a difference of 0.46%), and Immigrants from Hong Kong (10.4%, a difference of 0.62%).
Demographics | Rating | Rank | Poverty |
Immigrants | Lithuania | 99.9 /100 | #11 | Exceptional 10.3% |
Bhutanese | 99.8 /100 | #12 | Exceptional 10.4% |
Immigrants | Hong Kong | 99.8 /100 | #13 | Exceptional 10.4% |
Immigrants | Bolivia | 99.8 /100 | #14 | Exceptional 10.4% |
Bolivians | 99.8 /100 | #15 | Exceptional 10.4% |
Lithuanians | 99.8 /100 | #16 | Exceptional 10.5% |
Norwegians | 99.8 /100 | #17 | Exceptional 10.5% |
Latvians | 99.8 /100 | #18 | Exceptional 10.5% |
Immigrants | Scotland | 99.7 /100 | #19 | Exceptional 10.6% |
Immigrants | North Macedonia | 99.7 /100 | #20 | Exceptional 10.6% |
Luxembourgers | 99.7 /100 | #21 | Exceptional 10.6% |
Eastern Europeans | 99.7 /100 | #22 | Exceptional 10.6% |
Swedes | 99.7 /100 | #23 | Exceptional 10.6% |
Italians | 99.7 /100 | #24 | Exceptional 10.6% |
Croatians | 99.6 /100 | #25 | Exceptional 10.6% |
Burmese | 99.6 /100 | #26 | Exceptional 10.7% |
Immigrants | Northern Europe | 99.6 /100 | #27 | Exceptional 10.7% |
Immigrants | Korea | 99.5 /100 | #28 | Exceptional 10.7% |
Greeks | 99.5 /100 | #29 | Exceptional 10.7% |
Danes | 99.5 /100 | #30 | Exceptional 10.7% |
Poles | 99.5 /100 | #31 | Exceptional 10.7% |