Mongolian Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Mongolian Child Poverty Among Girls Under 16
15.4%
POVERTY | GIRLS < 16
89.7/ 100
METRIC RATING
132nd/ 347
METRIC RANK
Mongolian Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 139,540,451 people shows no correlation between the proportion of Mongolians and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.018 and weighted average of 15.4%. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is an increase of 0.15% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Mongolians and poverty level among girls under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Mongolians influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Mongolians simply ended up residing in those areas with higher or lower levels of poverty level among girls under the age of 16 due to other factors.
Demographics Similar to Mongolians by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Mongolians are Brazilian (15.4%, a difference of 0.020%), Immigrants from Western Europe (15.4%, a difference of 0.11%), Puget Sound Salish (15.4%, a difference of 0.13%), Immigrants from Spain (15.5%, a difference of 0.17%), and Czechoslovakian (15.5%, a difference of 0.21%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Peruvians | 91.2 /100 | #125 | Exceptional 15.4% |
Scottish | 91.0 /100 | #126 | Exceptional 15.4% |
Immigrants from Norway | 90.8 /100 | #127 | Exceptional 15.4% |
Albanians | 90.5 /100 | #128 | Exceptional 15.4% |
Immigrants from South Eastern Asia | 90.5 /100 | #129 | Exceptional 15.4% |
Puget Sound Salish | 90.1 /100 | #130 | Exceptional 15.4% |
Immigrants from Western Europe | 90.0 /100 | #131 | Exceptional 15.4% |
Mongolians | 89.7 /100 | #132 | Excellent 15.4% |
Brazilians | 89.6 /100 | #133 | Excellent 15.4% |
Immigrants from Spain | 89.1 /100 | #134 | Excellent 15.5% |
Czechoslovakians | 89.0 /100 | #135 | Excellent 15.5% |
Native Hawaiians | 89.0 /100 | #136 | Excellent 15.5% |
South Africans | 88.7 /100 | #137 | Excellent 15.5% |
Immigrants from Vietnam | 88.2 /100 | #138 | Excellent 15.5% |
Armenians | 87.9 /100 | #139 | Excellent 15.5% |
Mongolian Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Mongolian Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.014% | 1.6% |
Maximum | 5.6% | 43.5% |
Range | 5.6% | 41.9% |
Mean | 0.98% | 15.8% |
Median | 0.75% | 15.3% |
Interquartile 25% (IQ1) | 0.35% | 10.7% |
Interquartile 75% (IQ3) | 1.2% | 19.6% |
Interquartile Range (IQR) | 0.84% | 8.9% |
Standard Deviation (Sample) | 1.0% | 8.7% |
Standard Deviation (Population) | 1.0% | 8.6% |
Correlation Details
Mongolian Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.014% | 81,002,432 | 19.6% |
[ 0.0% - 0.5% ] 0.047% | 32,737,318 | 16.6% |
[ 0.0% - 0.5% ] 0.081% | 10,016,836 | 12.8% |
[ 0.0% - 0.5% ] 0.12% | 5,196,204 | 14.7% |
[ 0.0% - 0.5% ] 0.15% | 3,429,428 | 12.4% |
[ 0.0% - 0.5% ] 0.18% | 1,973,084 | 12.0% |
[ 0.0% - 0.5% ] 0.21% | 1,168,826 | 12.1% |
[ 0.0% - 0.5% ] 0.25% | 824,528 | 13.4% |
[ 0.0% - 0.5% ] 0.28% | 598,934 | 13.0% |
[ 0.0% - 0.5% ] 0.32% | 422,620 | 15.9% |
[ 0.0% - 0.5% ] 0.35% | 395,139 | 17.1% |
[ 0.0% - 0.5% ] 0.39% | 500,268 | 7.7% |
[ 0.0% - 0.5% ] 0.41% | 204,898 | 18.9% |
[ 0.0% - 0.5% ] 0.45% | 189,853 | 8.8% |
[ 0.0% - 0.5% ] 0.48% | 207,334 | 19.9% |
[ 0.5% - 1.0% ] 0.53% | 96,517 | 18.8% |
[ 0.5% - 1.0% ] 0.56% | 16,632 | 7.0% |
[ 0.5% - 1.0% ] 0.59% | 11,846 | 17.6% |
[ 0.5% - 1.0% ] 0.63% | 96,466 | 22.2% |
[ 0.5% - 1.0% ] 0.65% | 30,189 | 20.8% |
[ 0.5% - 1.0% ] 0.68% | 101,359 | 21.2% |
[ 0.5% - 1.0% ] 0.75% | 32,521 | 15.3% |
[ 0.5% - 1.0% ] 0.78% | 902 | 3.1% |
[ 0.5% - 1.0% ] 0.83% | 13,077 | 12.0% |
[ 0.5% - 1.0% ] 0.85% | 17,796 | 15.5% |
[ 0.5% - 1.0% ] 0.89% | 35,172 | 18.4% |
[ 0.5% - 1.0% ] 0.92% | 35,238 | 16.2% |
[ 0.5% - 1.0% ] 0.95% | 33,544 | 3.1% |
[ 0.5% - 1.0% ] 0.99% | 13,990 | 6.0% |
[ 1.0% - 1.5% ] 1.03% | 20,759 | 3.5% |
[ 1.0% - 1.5% ] 1.06% | 3,579 | 13.9% |
[ 1.0% - 1.5% ] 1.12% | 20,941 | 17.0% |
[ 1.0% - 1.5% ] 1.19% | 674 | 30.0% |
[ 1.0% - 1.5% ] 1.21% | 21,113 | 43.5% |
[ 1.0% - 1.5% ] 1.29% | 19,501 | 34.4% |
[ 1.0% - 1.5% ] 1.41% | 16,827 | 5.3% |
[ 1.5% - 2.0% ] 1.55% | 12,223 | 29.4% |
[ 1.5% - 2.0% ] 1.66% | 2,766 | 9.3% |
[ 1.5% - 2.0% ] 1.70% | 5,928 | 21.3% |
[ 2.0% - 2.5% ] 2.42% | 2,605 | 31.0% |
[ 3.0% - 3.5% ] 3.13% | 1,693 | 1.6% |
[ 3.0% - 3.5% ] 3.43% | 6,916 | 10.7% |
[ 5.5% - 6.0% ] 5.57% | 1,975 | 14.9% |