Immigrants from Hungary Male Poverty
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Immigrants from Hungary
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Male Poverty
Immigrants from Hungary Male Poverty
10.7%
POVERTY | MALES
87.6/ 100
METRIC RATING
119th/ 347
METRIC RANK
Immigrants from Hungary Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 195,630,615 people shows a moderate positive correlation between the proportion of Immigrants from Hungary and poverty level among males in the United States with a correlation coefficient (R) of 0.417 and weighted average of 10.7%. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 1.5% in poverty level among males.
It is essential to understand that the correlation between the percentage of Immigrants from Hungary and poverty level among males does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Hungary influences an upward or downward trend in the level of poverty level among males within an area, or if Immigrants from Hungary simply ended up residing in those areas with higher or lower levels of poverty level among males due to other factors.
Demographics Similar to Immigrants from Hungary by Male Poverty
In terms of male poverty, the demographic groups most similar to Immigrants from Hungary are Okinawan (10.7%, a difference of 0.010%), Immigrants from China (10.7%, a difference of 0.10%), Peruvian (10.7%, a difference of 0.11%), Immigrants from South Eastern Asia (10.6%, a difference of 0.12%), and Sri Lankan (10.6%, a difference of 0.13%).
| Demographics | Rating | Rank | Male Poverty |
| Immigrants from Turkey | 89.5 /100 | #112 | Excellent 10.6% |
| Palestinians | 89.1 /100 | #113 | Excellent 10.6% |
| Immigrants from Brazil | 89.0 /100 | #114 | Excellent 10.6% |
| Immigrants from Russia | 88.6 /100 | #115 | Excellent 10.6% |
| Sri Lankans | 88.1 /100 | #116 | Excellent 10.6% |
| Immigrants from South Eastern Asia | 88.1 /100 | #117 | Excellent 10.6% |
| Okinawans | 87.6 /100 | #118 | Excellent 10.7% |
| Immigrants from Hungary | 87.6 /100 | #119 | Excellent 10.7% |
| Immigrants from China | 87.1 /100 | #120 | Excellent 10.7% |
| Peruvians | 87.1 /100 | #121 | Excellent 10.7% |
| Native Hawaiians | 87.0 /100 | #122 | Excellent 10.7% |
| South Africans | 86.8 /100 | #123 | Excellent 10.7% |
| French | 86.7 /100 | #124 | Excellent 10.7% |
| Immigrants from Norway | 86.0 /100 | #125 | Excellent 10.7% |
| Immigrants from Ukraine | 84.3 /100 | #126 | Excellent 10.7% |
Immigrants from Hungary Male Poverty Correlation Summary
| Measurement | Immigrants from Hungary Data | Male Poverty Data |
| Minimum | 0.039% | 1.8% |
| Maximum | 7.8% | 37.5% |
| Range | 7.7% | 35.8% |
| Mean | 2.3% | 9.2% |
| Median | 1.9% | 7.6% |
| Interquartile 25% (IQ1) | 0.94% | 5.6% |
| Interquartile 75% (IQ3) | 2.9% | 10.9% |
| Interquartile Range (IQR) | 2.0% | 5.3% |
| Standard Deviation (Sample) | 2.0% | 7.1% |
| Standard Deviation (Population) | 2.0% | 7.0% |
Correlation Details
| Immigrants from Hungary Percentile | Sample Size | Male Poverty |
[ 0.0% - 0.5% ] 0.039% | 180,551,721 | 11.7% |
[ 0.0% - 0.5% ] 0.22% | 11,010,356 | 8.8% |
[ 0.0% - 0.5% ] 0.39% | 2,371,912 | 9.9% |
[ 0.5% - 1.0% ] 0.55% | 998,389 | 10.0% |
[ 0.5% - 1.0% ] 0.70% | 300,112 | 8.0% |
[ 0.5% - 1.0% ] 0.87% | 127,536 | 7.8% |
[ 1.0% - 1.5% ] 1.01% | 46,988 | 8.1% |
[ 1.0% - 1.5% ] 1.19% | 84,971 | 6.9% |
[ 1.0% - 1.5% ] 1.31% | 5,879 | 7.1% |
[ 1.0% - 1.5% ] 1.48% | 47,478 | 5.7% |
[ 1.5% - 2.0% ] 1.69% | 15,069 | 6.8% |
[ 1.5% - 2.0% ] 1.81% | 1,987 | 4.5% |
[ 2.0% - 2.5% ] 2.02% | 34,658 | 12.2% |
[ 2.0% - 2.5% ] 2.19% | 9,054 | 4.0% |
[ 2.0% - 2.5% ] 2.33% | 1,546 | 5.4% |
[ 2.0% - 2.5% ] 2.43% | 4,902 | 5.7% |
[ 2.5% - 3.0% ] 2.65% | 3,968 | 2.1% |
[ 2.5% - 3.0% ] 2.84% | 598 | 15.6% |
[ 3.0% - 3.5% ] 3.03% | 8,612 | 7.4% |
[ 3.0% - 3.5% ] 3.23% | 124 | 1.8% |
[ 3.5% - 4.0% ] 3.81% | 1,599 | 13.7% |
[ 5.0% - 5.5% ] 5.20% | 1,174 | 16.3% |
[ 7.0% - 7.5% ] 7.13% | 603 | 37.5% |
[ 7.5% - 8.0% ] 7.76% | 1,379 | 4.0% |