Immigrants from Hungary vs Asian Child Poverty Among Girls Under 16
COMPARE
Immigrants from Hungary
Asian
Child Poverty Among Girls Under 16
Child Poverty Among Girls Under 16 Comparison
Immigrants from Hungary
Asians
15.8%
CHILD POVERTY AMONG GIRLS UNDER 16
80.9/ 100
METRIC RATING
149th/ 347
METRIC RANK
13.7%
CHILD POVERTY AMONG GIRLS UNDER 16
99.7/ 100
METRIC RATING
30th/ 347
METRIC RANK
Immigrants from Hungary vs Asian Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 193,307,039 people shows a moderate positive correlation between the proportion of Immigrants from Hungary and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.436 and weighted average of 15.8%. Similarly, the statistical analysis conducted on geographies consisting of 532,137,785 people shows a mild negative correlation between the proportion of Asians and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of -0.309 and weighted average of 13.7%, a difference of 15.5%.
Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Immigrants from Hungary | Asian |
| Minimum | 7.3% | 1.3% |
| Maximum | 100.0% | 38.0% |
| Range | 92.7% | 36.7% |
| Mean | 25.0% | 11.5% |
| Median | 14.0% | 11.4% |
| Interquartile 25% (IQ1) | 12.0% | 8.0% |
| Interquartile 75% (IQ3) | 21.1% | 13.9% |
| Interquartile Range (IQR) | 9.1% | 5.9% |
| Standard Deviation (Sample) | 26.6% | 5.2% |
| Standard Deviation (Population) | 25.9% | 5.2% |
Similar Demographics by Child Poverty Among Girls Under 16
Demographics Similar to Immigrants from Hungary by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Hungary are Immigrants from Albania (15.8%, a difference of 0.040%), Venezuelan (15.8%, a difference of 0.14%), Immigrants from Kuwait (15.8%, a difference of 0.28%), Icelander (15.7%, a difference of 0.32%), and Immigrants from Nepal (15.9%, a difference of 0.44%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Canadians | 87.1 /100 | #142 | Excellent 15.6% |
| Immigrants | Peru | 86.6 /100 | #143 | Excellent 15.6% |
| Israelis | 86.3 /100 | #144 | Excellent 15.6% |
| Welsh | 85.4 /100 | #145 | Excellent 15.6% |
| Samoans | 84.2 /100 | #146 | Excellent 15.7% |
| Slavs | 83.1 /100 | #147 | Excellent 15.7% |
| Icelanders | 82.4 /100 | #148 | Excellent 15.7% |
| Immigrants | Hungary | 80.9 /100 | #149 | Excellent 15.8% |
| Immigrants | Albania | 80.7 /100 | #150 | Excellent 15.8% |
| Venezuelans | 80.1 /100 | #151 | Excellent 15.8% |
| Immigrants | Kuwait | 79.4 /100 | #152 | Good 15.8% |
| Immigrants | Nepal | 78.5 /100 | #153 | Good 15.9% |
| Immigrants | Chile | 76.7 /100 | #154 | Good 15.9% |
| Syrians | 76.7 /100 | #155 | Good 15.9% |
| Immigrants | Fiji | 76.1 /100 | #156 | Good 15.9% |
Demographics Similar to Asians by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Asians are Turkish (13.7%, a difference of 0.12%), Danish (13.7%, a difference of 0.16%), Swedish (13.7%, a difference of 0.19%), Maltese (13.7%, a difference of 0.24%), and Bolivian (13.6%, a difference of 0.67%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Norwegians | 99.9 /100 | #23 | Exceptional 13.3% |
| Immigrants | Eastern Asia | 99.9 /100 | #24 | Exceptional 13.4% |
| Immigrants | China | 99.8 /100 | #25 | Exceptional 13.4% |
| Eastern Europeans | 99.8 /100 | #26 | Exceptional 13.5% |
| Latvians | 99.8 /100 | #27 | Exceptional 13.5% |
| Tongans | 99.8 /100 | #28 | Exceptional 13.6% |
| Bolivians | 99.8 /100 | #29 | Exceptional 13.6% |
| Asians | 99.7 /100 | #30 | Exceptional 13.7% |
| Turks | 99.7 /100 | #31 | Exceptional 13.7% |
| Danes | 99.7 /100 | #32 | Exceptional 13.7% |
| Swedes | 99.7 /100 | #33 | Exceptional 13.7% |
| Maltese | 99.7 /100 | #34 | Exceptional 13.7% |
| Immigrants | Northern Europe | 99.6 /100 | #35 | Exceptional 13.8% |
| Russians | 99.6 /100 | #36 | Exceptional 13.9% |
| Lithuanians | 99.6 /100 | #37 | Exceptional 13.9% |