Danish vs Lithuanian Male Poverty
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Danish
Lithuanian
Male Poverty
Male Poverty Comparison
Danes
Lithuanians
9.7%
MALE POVERTY
99.6/ 100
METRIC RATING
27th/ 347
METRIC RANK
9.5%
MALE POVERTY
99.8/ 100
METRIC RATING
18th/ 347
METRIC RANK
Danish vs Lithuanian Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 473,491,649 people shows a moderate positive correlation between the proportion of Danes and poverty level among males in the United States with a correlation coefficient (R) of 0.401 and weighted average of 9.7%. Similarly, the statistical analysis conducted on geographies consisting of 421,480,494 people shows a substantial positive correlation between the proportion of Lithuanians and poverty level among males in the United States with a correlation coefficient (R) of 0.503 and weighted average of 9.5%, a difference of 1.6%.
Male Poverty Correlation Summary
| Measurement | Danish | Lithuanian |
| Minimum | 1.3% | 0.15% |
| Maximum | 35.0% | 53.0% |
| Range | 33.7% | 52.8% |
| Mean | 11.7% | 11.4% |
| Median | 9.3% | 8.5% |
| Interquartile 25% (IQ1) | 7.4% | 6.9% |
| Interquartile 75% (IQ3) | 13.5% | 13.0% |
| Interquartile Range (IQR) | 6.1% | 6.0% |
| Standard Deviation (Sample) | 7.3% | 8.6% |
| Standard Deviation (Population) | 7.3% | 8.6% |
Demographics Similar to Danes and Lithuanians by Male Poverty
In terms of male poverty, the demographic groups most similar to Danes are Immigrants from Korea (9.7%, a difference of 0.080%), Greek (9.7%, a difference of 0.12%), Burmese (9.7%, a difference of 0.13%), Polish (9.7%, a difference of 0.20%), and Tongan (9.7%, a difference of 0.22%). Similarly, the demographic groups most similar to Lithuanians are Norwegian (9.5%, a difference of 0.17%), Immigrants from Hong Kong (9.6%, a difference of 0.18%), Latvian (9.6%, a difference of 0.28%), Luxembourger (9.5%, a difference of 0.30%), and Immigrants from Scotland (9.6%, a difference of 0.55%).
| Demographics | Rating | Rank | Male Poverty |
| Immigrants | Bolivia | 99.9 /100 | #12 | Exceptional 9.4% |
| Immigrants | Lithuania | 99.9 /100 | #13 | Exceptional 9.4% |
| Immigrants | North Macedonia | 99.8 /100 | #14 | Exceptional 9.4% |
| Bhutanese | 99.8 /100 | #15 | Exceptional 9.5% |
| Luxembourgers | 99.8 /100 | #16 | Exceptional 9.5% |
| Norwegians | 99.8 /100 | #17 | Exceptional 9.5% |
| Lithuanians | 99.8 /100 | #18 | Exceptional 9.5% |
| Immigrants | Hong Kong | 99.7 /100 | #19 | Exceptional 9.6% |
| Latvians | 99.7 /100 | #20 | Exceptional 9.6% |
| Immigrants | Scotland | 99.7 /100 | #21 | Exceptional 9.6% |
| Croatians | 99.7 /100 | #22 | Exceptional 9.6% |
| Italians | 99.7 /100 | #23 | Exceptional 9.6% |
| Swedes | 99.7 /100 | #24 | Exceptional 9.6% |
| Eastern Europeans | 99.6 /100 | #25 | Exceptional 9.6% |
| Burmese | 99.6 /100 | #26 | Exceptional 9.7% |
| Danes | 99.6 /100 | #27 | Exceptional 9.7% |
| Immigrants | Korea | 99.6 /100 | #28 | Exceptional 9.7% |
| Greeks | 99.6 /100 | #29 | Exceptional 9.7% |
| Poles | 99.5 /100 | #30 | Exceptional 9.7% |
| Tongans | 99.5 /100 | #31 | Exceptional 9.7% |
| Macedonians | 99.5 /100 | #32 | Exceptional 9.7% |