Malaysian Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Malaysian Child Poverty Among Girls Under 16
17.8%
POVERTY | GIRLS < 16
5.7/ 100
METRIC RATING
214th/ 347
METRIC RANK
Malaysian Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 224,243,890 people shows no correlation between the proportion of Malaysians and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.012 and weighted average of 17.8%. On average, for every 1% (one percent) increase in Malaysians within a typical geography, there is an increase of 0.035% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Malaysians 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 Malaysians influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Malaysians 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 Malaysians by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Malaysians are German Russian (17.8%, a difference of 0.0%), Pennsylvania German (17.8%, a difference of 0.020%), Moroccan (17.8%, a difference of 0.10%), Japanese (17.8%, a difference of 0.19%), and Immigrants from Thailand (17.7%, a difference of 0.28%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Hmong | 10.6 /100 | #207 | Poor 17.5% |
| Sierra Leoneans | 8.9 /100 | #208 | Tragic 17.6% |
| Panamanians | 8.7 /100 | #209 | Tragic 17.6% |
| Immigrants | 7.3 /100 | #210 | Tragic 17.7% |
| Immigrants from Eastern Africa | 6.4 /100 | #211 | Tragic 17.7% |
| Immigrants from Thailand | 6.3 /100 | #212 | Tragic 17.7% |
| Pennsylvania Germans | 5.7 /100 | #213 | Tragic 17.8% |
| Malaysians | 5.7 /100 | #214 | Tragic 17.8% |
| German Russians | 5.7 /100 | #215 | Tragic 17.8% |
| Moroccans | 5.5 /100 | #216 | Tragic 17.8% |
| Japanese | 5.3 /100 | #217 | Tragic 17.8% |
| Alaska Natives | 5.2 /100 | #218 | Tragic 17.8% |
| Immigrants from Panama | 4.7 /100 | #219 | Tragic 17.9% |
| Cubans | 4.1 /100 | #220 | Tragic 18.0% |
| Immigrants from Micronesia | 3.5 /100 | #221 | Tragic 18.0% |
Malaysian Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Malaysian Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.044% | 0.81% |
| Maximum | 20.5% | 60.0% |
| Range | 20.4% | 59.2% |
| Mean | 5.1% | 21.1% |
| Median | 4.1% | 18.5% |
| Interquartile 25% (IQ1) | 2.0% | 13.8% |
| Interquartile 75% (IQ3) | 7.6% | 25.6% |
| Interquartile Range (IQR) | 5.6% | 11.8% |
| Standard Deviation (Sample) | 4.3% | 12.9% |
| Standard Deviation (Population) | 4.2% | 12.8% |
Correlation Details
| Malaysian Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.044% | 133,694,730 | 18.1% |
[ 0.0% - 0.5% ] 0.17% | 38,555,888 | 16.4% |
[ 0.0% - 0.5% ] 0.28% | 18,976,811 | 15.5% |
[ 0.0% - 0.5% ] 0.39% | 9,128,589 | 13.9% |
[ 0.5% - 1.0% ] 0.52% | 6,569,692 | 15.5% |
[ 0.5% - 1.0% ] 0.64% | 3,551,993 | 16.5% |
[ 0.5% - 1.0% ] 0.74% | 2,303,281 | 15.9% |
[ 0.5% - 1.0% ] 0.87% | 1,912,052 | 17.1% |
[ 0.5% - 1.0% ] 0.97% | 2,148,528 | 18.9% |
[ 1.0% - 1.5% ] 1.09% | 838,994 | 17.0% |
[ 1.0% - 1.5% ] 1.21% | 1,549,349 | 24.9% |
[ 1.0% - 1.5% ] 1.34% | 851,306 | 13.2% |
[ 1.0% - 1.5% ] 1.45% | 425,356 | 20.2% |
[ 1.5% - 2.0% ] 1.55% | 578,478 | 18.0% |
[ 1.5% - 2.0% ] 1.67% | 747,099 | 23.3% |
[ 1.5% - 2.0% ] 1.77% | 288,064 | 21.5% |
[ 1.5% - 2.0% ] 1.89% | 270,168 | 24.2% |
[ 2.0% - 2.5% ] 2.02% | 184,537 | 23.3% |
[ 2.0% - 2.5% ] 2.11% | 271,257 | 22.9% |
[ 2.0% - 2.5% ] 2.26% | 93,277 | 13.7% |
[ 2.0% - 2.5% ] 2.36% | 181,646 | 25.6% |
[ 2.0% - 2.5% ] 2.48% | 210,482 | 24.6% |
[ 2.5% - 3.0% ] 2.58% | 112,120 | 32.1% |
[ 2.5% - 3.0% ] 2.71% | 35,514 | 21.6% |
[ 2.5% - 3.0% ] 2.83% | 156,138 | 13.9% |
[ 2.5% - 3.0% ] 2.94% | 190,883 | 19.4% |
[ 3.0% - 3.5% ] 3.03% | 102,188 | 17.7% |
[ 3.0% - 3.5% ] 3.20% | 27,756 | 43.3% |
[ 3.0% - 3.5% ] 3.28% | 43,282 | 14.4% |
[ 3.0% - 3.5% ] 3.41% | 4,012 | 43.1% |
[ 3.0% - 3.5% ] 3.47% | 27,020 | 30.0% |
[ 3.5% - 4.0% ] 3.66% | 17,506 | 6.0% |
[ 3.5% - 4.0% ] 3.75% | 32,829 | 24.7% |
[ 3.5% - 4.0% ] 3.87% | 14,117 | 29.4% |
[ 3.5% - 4.0% ] 3.99% | 1,605 | 4.9% |
[ 4.0% - 4.5% ] 4.14% | 1,955 | 7.6% |
[ 4.0% - 4.5% ] 4.20% | 1,857 | 3.9% |
[ 4.0% - 4.5% ] 4.27% | 10,155 | 3.1% |
[ 4.0% - 4.5% ] 4.41% | 3,927 | 47.3% |
[ 4.5% - 5.0% ] 4.58% | 17,945 | 43.8% |
[ 4.5% - 5.0% ] 4.64% | 2,845 | 40.4% |
[ 4.5% - 5.0% ] 4.82% | 2,262 | 14.6% |
[ 4.5% - 5.0% ] 4.87% | 6,511 | 5.6% |
[ 5.0% - 5.5% ] 5.01% | 3,695 | 33.8% |
[ 5.0% - 5.5% ] 5.09% | 2,063 | 23.7% |
[ 5.0% - 5.5% ] 5.23% | 5,964 | 29.1% |
[ 5.5% - 6.0% ] 5.59% | 1,826 | 58.0% |
[ 5.5% - 6.0% ] 5.78% | 1,316 | 6.6% |
[ 5.5% - 6.0% ] 5.91% | 8,465 | 13.7% |
[ 6.0% - 6.5% ] 6.10% | 541 | 5.7% |
[ 6.0% - 6.5% ] 6.42% | 4,001 | 22.8% |
[ 7.0% - 7.5% ] 7.19% | 1,460 | 2.9% |
[ 7.5% - 8.0% ] 7.63% | 22,539 | 40.0% |
[ 7.5% - 8.0% ] 7.79% | 578 | 50.0% |
[ 7.5% - 8.0% ] 7.91% | 278 | 27.9% |
[ 8.0% - 8.5% ] 8.21% | 15,355 | 23.7% |
[ 8.0% - 8.5% ] 8.33% | 216 | 26.7% |
[ 8.0% - 8.5% ] 8.44% | 2,819 | 0.81% |
[ 9.0% - 9.5% ] 9.10% | 13,838 | 26.4% |
[ 10.0% - 10.5% ] 10.21% | 2,595 | 18.1% |
[ 10.0% - 10.5% ] 10.34% | 861 | 13.8% |
[ 10.5% - 11.0% ] 10.54% | 389 | 12.5% |
[ 10.5% - 11.0% ] 10.78% | 2,207 | 1.0% |
[ 10.5% - 11.0% ] 10.90% | 991 | 10.1% |
[ 13.0% - 13.5% ] 13.21% | 106 | 60.0% |
[ 13.5% - 14.0% ] 13.71% | 2,984 | 20.1% |
[ 13.5% - 14.0% ] 13.79% | 1,900 | 24.0% |
[ 14.0% - 14.5% ] 14.47% | 1,693 | 15.9% |
[ 15.0% - 15.5% ] 15.46% | 679 | 7.5% |
[ 20.0% - 20.5% ] 20.49% | 527 | 17.6% |