German vs Asian Male Poverty
COMPARE
German
Asian
Male Poverty
Male Poverty Comparison
Germans
Asians
10.1%
MALE POVERTY
98.3/ 100
METRIC RATING
55th/ 347
METRIC RANK
10.0%
MALE POVERTY
98.7/ 100
METRIC RATING
52nd/ 347
METRIC RANK
German vs Asian Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 578,875,550 people shows no correlation between the proportion of Germans and poverty level among males in the United States with a correlation coefficient (R) of 0.029 and weighted average of 10.1%. Similarly, the statistical analysis conducted on geographies consisting of 549,643,011 people shows a weak negative correlation between the proportion of Asians and poverty level among males in the United States with a correlation coefficient (R) of -0.208 and weighted average of 10.0%, a difference of 0.64%.
Male Poverty Correlation Summary
Measurement | German | Asian |
Minimum | 1.0% | 1.7% |
Maximum | 58.2% | 31.2% |
Range | 57.2% | 29.4% |
Mean | 10.1% | 8.8% |
Median | 8.7% | 8.8% |
Interquartile 25% (IQ1) | 6.9% | 6.6% |
Interquartile 75% (IQ3) | 10.5% | 10.1% |
Interquartile Range (IQR) | 3.7% | 3.5% |
Standard Deviation (Sample) | 6.3% | 3.3% |
Standard Deviation (Population) | 6.3% | 3.3% |
Demographics Similar to Germans and Asians by Male Poverty
In terms of male poverty, the demographic groups most similar to Germans are Immigrants from Bulgaria (10.1%, a difference of 0.21%), Immigrants from Austria (10.0%, a difference of 0.29%), Estonian (10.1%, a difference of 0.35%), Scandinavian (10.1%, a difference of 0.42%), and Immigrants from Europe (10.1%, a difference of 0.56%). Similarly, the demographic groups most similar to Asians are Immigrants from Czechoslovakia (10.0%, a difference of 0.070%), Immigrants from Croatia (10.0%, a difference of 0.090%), Immigrants from Philippines (10.0%, a difference of 0.19%), Slovene (10.0%, a difference of 0.24%), and Immigrants from Singapore (10.0%, a difference of 0.34%).
Demographics | Rating | Rank | Male Poverty |
Immigrants | Moldova | 99.0 /100 | #43 | Exceptional 9.9% |
Immigrants | Romania | 98.9 /100 | #44 | Exceptional 9.9% |
Immigrants | Serbia | 98.9 /100 | #45 | Exceptional 10.0% |
Turks | 98.9 /100 | #46 | Exceptional 10.0% |
Immigrants | Singapore | 98.8 /100 | #47 | Exceptional 10.0% |
Immigrants | Japan | 98.8 /100 | #48 | Exceptional 10.0% |
Slovenes | 98.8 /100 | #49 | Exceptional 10.0% |
Immigrants | Philippines | 98.7 /100 | #50 | Exceptional 10.0% |
Immigrants | Croatia | 98.7 /100 | #51 | Exceptional 10.0% |
Asians | 98.7 /100 | #52 | Exceptional 10.0% |
Immigrants | Czechoslovakia | 98.6 /100 | #53 | Exceptional 10.0% |
Immigrants | Austria | 98.5 /100 | #54 | Exceptional 10.0% |
Germans | 98.3 /100 | #55 | Exceptional 10.1% |
Immigrants | Bulgaria | 98.2 /100 | #56 | Exceptional 10.1% |
Estonians | 98.1 /100 | #57 | Exceptional 10.1% |
Scandinavians | 98.0 /100 | #58 | Exceptional 10.1% |
Immigrants | Europe | 97.9 /100 | #59 | Exceptional 10.1% |
Ukrainians | 97.9 /100 | #60 | Exceptional 10.1% |
Austrians | 97.8 /100 | #61 | Exceptional 10.1% |
Immigrants | Italy | 97.8 /100 | #62 | Exceptional 10.2% |
Slovaks | 97.7 /100 | #63 | Exceptional 10.2% |