Malaysian Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Malaysian Child Poverty Among Boys Under 16
17.6%
POVERTY | BOYS < 16
7.6/ 100
METRIC RATING
208th/ 347
METRIC RANK
Malaysian Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 224,540,798 people shows a slight positive correlation between the proportion of Malaysians and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.092 and weighted average of 17.6%. On average, for every 1% (one percent) increase in Malaysians within a typical geography, there is an increase of 0.25% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Malaysians and poverty level among boys 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 boys 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 boys under the age of 16 due to other factors.
Demographics Similar to Malaysians by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Malaysians are Alaskan Athabascan (17.6%, a difference of 0.11%), Immigrants from Thailand (17.5%, a difference of 0.22%), Immigrants from Armenia (17.6%, a difference of 0.28%), Immigrants (17.6%, a difference of 0.35%), and Aleut (17.7%, a difference of 0.39%).
Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
Immigrants from Afghanistan | 13.7 /100 | #201 | Poor 17.3% |
Immigrants from Sierra Leone | 13.4 /100 | #202 | Poor 17.3% |
Immigrants from Uzbekistan | 13.3 /100 | #203 | Poor 17.3% |
Ugandans | 12.5 /100 | #204 | Poor 17.3% |
Immigrants from Portugal | 11.2 /100 | #205 | Poor 17.4% |
German Russians | 10.9 /100 | #206 | Poor 17.4% |
Immigrants from Thailand | 8.2 /100 | #207 | Tragic 17.5% |
Malaysians | 7.6 /100 | #208 | Tragic 17.6% |
Alaskan Athabascans | 7.3 /100 | #209 | Tragic 17.6% |
Immigrants from Armenia | 6.8 /100 | #210 | Tragic 17.6% |
Immigrants | 6.7 /100 | #211 | Tragic 17.6% |
Aleuts | 6.6 /100 | #212 | Tragic 17.7% |
Immigrants from Eastern Africa | 6.0 /100 | #213 | Tragic 17.7% |
Panamanians | 5.9 /100 | #214 | Tragic 17.7% |
Osage | 5.8 /100 | #215 | Tragic 17.7% |
Malaysian Child Poverty Among Boys Under 16 Correlation Summary
Measurement | Malaysian Data | Child Poverty Among Boys Under 16 Data |
Minimum | 0.044% | 2.9% |
Maximum | 20.5% | 57.1% |
Range | 20.4% | 54.2% |
Mean | 5.2% | 21.0% |
Median | 4.0% | 17.8% |
Interquartile 25% (IQ1) | 2.0% | 14.3% |
Interquartile 75% (IQ3) | 7.8% | 25.0% |
Interquartile Range (IQR) | 5.9% | 10.8% |
Standard Deviation (Sample) | 4.3% | 11.9% |
Standard Deviation (Population) | 4.3% | 11.8% |
Correlation Details
Malaysian Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.044% | 133,791,462 | 17.9% |
[ 0.0% - 0.5% ] 0.17% | 38,596,598 | 16.3% |
[ 0.0% - 0.5% ] 0.28% | 18,960,897 | 15.5% |
[ 0.0% - 0.5% ] 0.39% | 9,204,585 | 14.4% |
[ 0.5% - 1.0% ] 0.52% | 6,547,163 | 15.3% |
[ 0.5% - 1.0% ] 0.64% | 3,562,816 | 15.9% |
[ 0.5% - 1.0% ] 0.74% | 2,358,112 | 16.2% |
[ 0.5% - 1.0% ] 0.87% | 1,908,475 | 16.9% |
[ 0.5% - 1.0% ] 0.97% | 2,166,460 | 18.6% |
[ 1.0% - 1.5% ] 1.09% | 852,050 | 16.7% |
[ 1.0% - 1.5% ] 1.21% | 1,554,317 | 24.6% |
[ 1.0% - 1.5% ] 1.34% | 856,456 | 13.0% |
[ 1.0% - 1.5% ] 1.45% | 434,595 | 19.2% |
[ 1.5% - 2.0% ] 1.55% | 571,469 | 17.7% |
[ 1.5% - 2.0% ] 1.67% | 748,647 | 24.0% |
[ 1.5% - 2.0% ] 1.77% | 288,064 | 17.8% |
[ 1.5% - 2.0% ] 1.89% | 263,299 | 23.8% |
[ 2.0% - 2.5% ] 2.02% | 186,926 | 23.7% |
[ 2.0% - 2.5% ] 2.11% | 270,394 | 21.9% |
[ 2.0% - 2.5% ] 2.26% | 93,277 | 14.9% |
[ 2.0% - 2.5% ] 2.36% | 181,646 | 25.1% |
[ 2.0% - 2.5% ] 2.48% | 210,284 | 22.2% |
[ 2.5% - 3.0% ] 2.58% | 112,120 | 26.9% |
[ 2.5% - 3.0% ] 2.71% | 42,764 | 17.9% |
[ 2.5% - 3.0% ] 2.83% | 161,136 | 17.2% |
[ 2.5% - 3.0% ] 2.94% | 193,123 | 20.6% |
[ 3.0% - 3.5% ] 3.03% | 102,188 | 14.6% |
[ 3.0% - 3.5% ] 3.20% | 27,756 | 45.1% |
[ 3.0% - 3.5% ] 3.28% | 43,282 | 9.2% |
[ 3.0% - 3.5% ] 3.41% | 4,012 | 40.5% |
[ 3.0% - 3.5% ] 3.47% | 25,763 | 32.1% |
[ 3.5% - 4.0% ] 3.66% | 18,104 | 9.5% |
[ 3.5% - 4.0% ] 3.75% | 32,829 | 16.5% |
[ 3.5% - 4.0% ] 3.86% | 18,516 | 34.5% |
[ 3.5% - 4.0% ] 3.99% | 1,605 | 6.2% |
[ 4.0% - 4.5% ] 4.27% | 10,155 | 15.4% |
[ 4.0% - 4.5% ] 4.41% | 3,927 | 42.1% |
[ 4.5% - 5.0% ] 4.58% | 19,389 | 30.3% |
[ 4.5% - 5.0% ] 4.64% | 2,845 | 25.1% |
[ 4.5% - 5.0% ] 4.82% | 2,262 | 43.9% |
[ 4.5% - 5.0% ] 4.87% | 6,511 | 16.7% |
[ 5.0% - 5.5% ] 5.02% | 7,674 | 18.0% |
[ 5.0% - 5.5% ] 5.09% | 2,063 | 14.2% |
[ 5.0% - 5.5% ] 5.23% | 5,810 | 25.5% |
[ 5.0% - 5.5% ] 5.33% | 3,582 | 7.6% |
[ 5.5% - 6.0% ] 5.78% | 1,316 | 3.0% |
[ 5.5% - 6.0% ] 5.91% | 8,788 | 19.2% |
[ 6.0% - 6.5% ] 6.10% | 541 | 16.1% |
[ 6.0% - 6.5% ] 6.42% | 2,539 | 8.4% |
[ 7.0% - 7.5% ] 7.19% | 1,460 | 6.8% |
[ 7.5% - 8.0% ] 7.63% | 22,539 | 49.3% |
[ 7.5% - 8.0% ] 7.79% | 578 | 50.9% |
[ 7.5% - 8.0% ] 7.91% | 278 | 29.4% |
[ 8.0% - 8.5% ] 8.21% | 15,355 | 12.6% |
[ 8.0% - 8.5% ] 8.33% | 216 | 25.0% |
[ 8.0% - 8.5% ] 8.44% | 2,819 | 12.1% |
[ 9.0% - 9.5% ] 9.10% | 13,838 | 13.4% |
[ 9.5% - 10.0% ] 9.95% | 191 | 53.3% |
[ 10.0% - 10.5% ] 10.21% | 2,595 | 11.2% |
[ 10.0% - 10.5% ] 10.34% | 861 | 12.1% |
[ 10.5% - 11.0% ] 10.54% | 389 | 2.9% |
[ 10.5% - 11.0% ] 10.78% | 2,207 | 13.7% |
[ 10.5% - 11.0% ] 10.90% | 991 | 20.5% |
[ 13.0% - 13.5% ] 13.21% | 106 | 57.1% |
[ 13.5% - 14.0% ] 13.71% | 2,984 | 20.5% |
[ 13.5% - 14.0% ] 13.79% | 1,900 | 14.8% |
[ 14.0% - 14.5% ] 14.47% | 1,693 | 22.7% |
[ 15.0% - 15.5% ] 15.46% | 679 | 6.0% |
[ 20.0% - 20.5% ] 20.49% | 527 | 27.9% |