German vs Zimbabwean Male Poverty
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German
Zimbabwean
Male Poverty
Male Poverty Comparison
Germans
Zimbabweans
10.1%
MALE POVERTY
98.3/ 100
METRIC RATING
55th/ 347
METRIC RANK
10.2%
MALE POVERTY
97.5/ 100
METRIC RATING
65th/ 347
METRIC RANK
German vs Zimbabwean 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 69,180,294 people shows no correlation between the proportion of Zimbabweans and poverty level among males in the United States with a correlation coefficient (R) of 0.027 and weighted average of 10.2%, a difference of 1.1%.
Male Poverty Correlation Summary
| Measurement | German | Zimbabwean |
| Minimum | 1.0% | 1.2% |
| Maximum | 58.2% | 18.8% |
| Range | 57.2% | 17.7% |
| Mean | 10.1% | 8.1% |
| Median | 8.7% | 8.3% |
| Interquartile 25% (IQ1) | 6.9% | 5.1% |
| Interquartile 75% (IQ3) | 10.5% | 11.1% |
| Interquartile Range (IQR) | 3.7% | 5.9% |
| Standard Deviation (Sample) | 6.3% | 4.1% |
| Standard Deviation (Population) | 6.3% | 4.1% |
Demographics Similar to Germans and Zimbabweans 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 Zimbabweans are Serbian (10.2%, a difference of 0.010%), Swiss (10.2%, a difference of 0.070%), Immigrants from Netherlands (10.2%, a difference of 0.18%), Immigrants from Sri Lanka (10.2%, a difference of 0.24%), and Slovak (10.2%, a difference of 0.30%).
| Demographics | Rating | Rank | Male Poverty |
| 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% |
| Swiss | 97.5 /100 | #64 | Exceptional 10.2% |
| Zimbabweans | 97.5 /100 | #65 | Exceptional 10.2% |
| Serbians | 97.5 /100 | #66 | Exceptional 10.2% |
| Immigrants | Netherlands | 97.3 /100 | #67 | Exceptional 10.2% |
| Immigrants | Sri Lanka | 97.2 /100 | #68 | Exceptional 10.2% |
| Immigrants | Australia | 97.1 /100 | #69 | Exceptional 10.2% |
| Paraguayans | 97.1 /100 | #70 | Exceptional 10.2% |