Hungarian Female Poverty
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Hungarian
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Female Poverty
Hungarian Female Poverty
13.2%
POVERTY | FEMALES
70.1/ 100
METRIC RATING
155th/ 347
METRIC RANK
Hungarian Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 485,692,155 people shows a moderate positive correlation between the proportion of Hungarians and poverty level among females in the United States with a correlation coefficient (R) of 0.438 and weighted average of 13.2%. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.53% in poverty level among females.
It is essential to understand that the correlation between the percentage of Hungarians and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Hungarians influences an upward or downward trend in the level of poverty level among females within an area, or if Hungarians simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Hungarians by Female Poverty
In terms of female poverty, the demographic groups most similar to Hungarians are Armenian (13.2%, a difference of 0.040%), Immigrants from Bosnia and Herzegovina (13.2%, a difference of 0.050%), Immigrants from Fiji (13.2%, a difference of 0.10%), Immigrants from Northern Africa (13.2%, a difference of 0.15%), and Pennsylvania German (13.2%, a difference of 0.32%).
| Demographics | Rating | Rank | Female Poverty |
| Yugoslavians | 76.9 /100 | #148 | Good 13.1% |
| Taiwanese | 75.7 /100 | #149 | Good 13.1% |
| Tsimshian | 75.5 /100 | #150 | Good 13.1% |
| Immigrants from Germany | 74.9 /100 | #151 | Good 13.1% |
| Samoans | 73.6 /100 | #152 | Good 13.1% |
| Immigrants from Fiji | 71.0 /100 | #153 | Good 13.2% |
| Armenians | 70.4 /100 | #154 | Good 13.2% |
| Hungarians | 70.1 /100 | #155 | Good 13.2% |
| Immigrants from Bosnia and Herzegovina | 69.7 /100 | #156 | Good 13.2% |
| Immigrants from Northern Africa | 68.8 /100 | #157 | Good 13.2% |
| Pennsylvania Germans | 67.3 /100 | #158 | Good 13.2% |
| Costa Ricans | 63.6 /100 | #159 | Good 13.3% |
| Immigrants from Nepal | 62.7 /100 | #160 | Good 13.3% |
| Immigrants from Ethiopia | 62.5 /100 | #161 | Good 13.3% |
| Guamanians/Chamorros | 62.4 /100 | #162 | Good 13.3% |
Hungarian Female Poverty Correlation Summary
| Measurement | Hungarian Data | Female Poverty Data |
| Minimum | 0.21% | 1.3% |
| Maximum | 56.7% | 73.9% |
| Range | 56.5% | 72.6% |
| Mean | 17.4% | 18.8% |
| Median | 14.0% | 12.1% |
| Interquartile 25% (IQ1) | 6.8% | 8.2% |
| Interquartile 75% (IQ3) | 25.3% | 26.0% |
| Interquartile Range (IQR) | 18.5% | 17.7% |
| Standard Deviation (Sample) | 13.8% | 16.6% |
| Standard Deviation (Population) | 13.7% | 16.5% |
Correlation Details
| Hungarian Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.21% | 357,092,592 | 14.3% |
[ 0.5% - 1.0% ] 0.68% | 85,714,989 | 11.6% |
[ 1.0% - 1.5% ] 1.20% | 21,815,958 | 10.8% |
[ 1.5% - 2.0% ] 1.73% | 8,688,066 | 11.1% |
[ 2.0% - 2.5% ] 2.23% | 4,079,439 | 10.9% |
[ 2.5% - 3.0% ] 2.75% | 2,264,573 | 11.0% |
[ 3.0% - 3.5% ] 3.24% | 1,840,017 | 12.4% |
[ 3.5% - 4.0% ] 3.77% | 1,308,863 | 12.2% |
[ 4.0% - 4.5% ] 4.26% | 906,368 | 11.3% |
[ 4.5% - 5.0% ] 4.74% | 462,105 | 8.4% |
[ 5.0% - 5.5% ] 5.28% | 438,006 | 17.5% |
[ 5.5% - 6.0% ] 5.78% | 154,975 | 9.7% |
[ 6.0% - 6.5% ] 6.22% | 147,670 | 15.8% |
[ 6.5% - 7.0% ] 6.77% | 119,616 | 9.0% |
[ 7.0% - 7.5% ] 7.17% | 77,341 | 8.2% |
[ 7.5% - 8.0% ] 7.74% | 69,551 | 18.5% |
[ 8.0% - 8.5% ] 8.21% | 46,303 | 10.7% |
[ 8.5% - 9.0% ] 8.72% | 27,437 | 19.0% |
[ 9.0% - 9.5% ] 9.15% | 18,498 | 11.1% |
[ 9.5% - 10.0% ] 9.70% | 12,809 | 12.4% |
[ 10.0% - 10.5% ] 10.36% | 4,970 | 7.9% |
[ 10.5% - 11.0% ] 10.95% | 55,125 | 29.0% |
[ 11.0% - 11.5% ] 11.30% | 25,979 | 6.0% |
[ 11.5% - 12.0% ] 11.76% | 18,633 | 3.4% |
[ 12.0% - 12.5% ] 12.05% | 75,439 | 26.0% |
[ 12.5% - 13.0% ] 12.65% | 2,546 | 15.5% |
[ 13.0% - 13.5% ] 13.33% | 2,595 | 4.0% |
[ 14.0% - 14.5% ] 14.04% | 178 | 12.1% |
[ 14.5% - 15.0% ] 14.58% | 487 | 7.8% |
[ 15.0% - 15.5% ] 15.05% | 7,051 | 1.3% |
[ 15.5% - 16.0% ] 15.79% | 266 | 27.6% |
[ 17.0% - 17.5% ] 17.14% | 48,229 | 34.6% |
[ 17.5% - 18.0% ] 17.94% | 853 | 3.5% |
[ 18.0% - 18.5% ] 18.13% | 1,302 | 3.5% |
[ 18.5% - 19.0% ] 18.80% | 947 | 12.7% |
[ 19.0% - 19.5% ] 19.42% | 1,921 | 16.8% |
[ 20.0% - 20.5% ] 20.00% | 5 | 50.0% |
[ 21.0% - 21.5% ] 21.35% | 28,423 | 44.1% |
[ 21.5% - 22.0% ] 21.57% | 2,035 | 8.8% |
[ 22.5% - 23.0% ] 22.53% | 7,385 | 28.4% |
[ 24.5% - 25.0% ] 24.63% | 64,193 | 28.8% |
[ 25.0% - 25.5% ] 25.29% | 6,460 | 52.4% |
[ 26.0% - 26.5% ] 26.04% | 192 | 11.9% |
[ 26.5% - 27.0% ] 26.60% | 188 | 22.7% |
[ 28.0% - 28.5% ] 28.34% | 307 | 6.0% |
[ 29.5% - 30.0% ] 29.88% | 800 | 20.9% |
[ 30.0% - 30.5% ] 30.23% | 258 | 2.6% |
[ 31.5% - 32.0% ] 31.96% | 3,858 | 45.3% |
[ 33.0% - 33.5% ] 33.30% | 871 | 8.1% |
[ 38.5% - 39.0% ] 38.95% | 9,578 | 60.5% |
[ 40.5% - 41.0% ] 40.81% | 34,395 | 44.0% |
[ 41.0% - 41.5% ] 41.06% | 962 | 57.1% |
[ 50.5% - 51.0% ] 50.79% | 315 | 73.9% |
[ 53.5% - 54.0% ] 53.76% | 173 | 3.1% |
[ 56.5% - 57.0% ] 56.67% | 60 | 5.3% |