Norwegian vs Polish Male Poverty
COMPARE
Norwegian
 Polish
 Male Poverty
Male Poverty Comparison
Norwegians
Poles
9.5%
MALE POVERTY
99.8/ 100
METRIC RATING
17th/ 347
METRIC RANK
9.7%
MALE POVERTY
99.5/ 100
METRIC RATING
30th/ 347
METRIC RANK
Norwegian vs Polish Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 532,206,209 people shows a poor positive correlation between the proportion of Norwegians and poverty level among males in the United States with a correlation coefficient (R) of 0.183 and weighted average of 9.5%. Similarly, the statistical analysis conducted on geographies consisting of 558,970,133 people shows a weak positive correlation between the proportion of Poles and poverty level among males in the United States with a correlation coefficient (R) of 0.290 and weighted average of 9.7%, a difference of 2.0%.
 
Male Poverty Correlation Summary
| Measurement | Norwegian | Polish | 
| Minimum | 2.4% | 1.8% | 
| Maximum | 50.0% | 46.0% | 
| Range | 47.6% | 44.2% | 
| Mean | 9.8% | 10.3% | 
| Median | 8.9% | 8.8% | 
| Interquartile 25% (IQ1) | 7.5% | 7.0% | 
| Interquartile 75% (IQ3) | 10.1% | 11.9% | 
| Interquartile Range (IQR) | 2.5% | 4.9% | 
| Standard Deviation (Sample) | 6.1% | 6.5% | 
| Standard Deviation (Population) | 6.1% | 6.5% | 
Demographics Similar to Norwegians and Poles by Male Poverty
In terms of male poverty, the demographic groups most similar to Norwegians are Luxembourger (9.5%, a difference of 0.13%), Lithuanian (9.5%, a difference of 0.17%), Immigrants from Hong Kong (9.6%, a difference of 0.35%), Latvian (9.6%, a difference of 0.45%), and Bhutanese (9.5%, a difference of 0.65%). Similarly, the demographic groups most similar to Poles are Tongan (9.7%, a difference of 0.020%), Greek (9.7%, a difference of 0.080%), Immigrants from Korea (9.7%, a difference of 0.12%), Danish (9.7%, a difference of 0.20%), and Macedonian (9.7%, a difference of 0.23%).
| Demographics | Rating | Rank | Male Poverty | 
| 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% | 
| Immigrants | Northern Europe | 99.5 /100 | #33 | Exceptional 9.7% |