Norwegian vs Lithuanian Poverty
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Norwegian
Lithuanian
Poverty
Poverty Comparison
Norwegians
Lithuanians
10.5%
POVERTY
99.8/ 100
METRIC RATING
17th/ 347
METRIC RANK
10.5%
POVERTY
99.8/ 100
METRIC RATING
16th/ 347
METRIC RANK
Norwegian vs Lithuanian Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 532,786,336 people shows a poor positive correlation between the proportion of Norwegians and poverty level in the United States with a correlation coefficient (R) of 0.117 and weighted average of 10.5%. 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 0.37%.
Poverty Correlation Summary
Measurement | Norwegian | Lithuanian |
Minimum | 0.40% | 0.071% |
Maximum | 41.5% | 29.6% |
Range | 41.1% | 29.5% |
Mean | 10.4% | 10.3% |
Median | 9.8% | 9.2% |
Interquartile 25% (IQ1) | 8.1% | 7.3% |
Interquartile 75% (IQ3) | 11.2% | 12.5% |
Interquartile Range (IQR) | 3.0% | 5.2% |
Standard Deviation (Sample) | 5.0% | 5.4% |
Standard Deviation (Population) | 5.0% | 5.4% |
Demographics Similar to Norwegians and Lithuanians by Poverty
In terms of poverty, the demographic groups most similar to Norwegians are Latvian (10.5%, a difference of 0.10%), Immigrants from Scotland (10.6%, a difference of 0.49%), Immigrants from North Macedonia (10.6%, a difference of 0.60%), Bolivian (10.4%, a difference of 0.67%), and Immigrants from Bolivia (10.4%, a difference of 0.68%). 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%), Latvian (10.5%, a difference of 0.46%), Immigrants from Hong Kong (10.4%, a difference of 0.62%), and Bhutanese (10.4%, a difference of 0.84%).
Demographics | Rating | Rank | Poverty |
Assyrians/Chaldeans/Syriacs | 99.9 /100 | #6 | Exceptional 10.1% |
Filipinos | 99.9 /100 | #7 | Exceptional 10.1% |
Maltese | 99.9 /100 | #8 | Exceptional 10.2% |
Immigrants | South Central Asia | 99.9 /100 | #9 | Exceptional 10.2% |
Bulgarians | 99.9 /100 | #10 | Exceptional 10.2% |
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% |