Malaysian vs Lithuanian Child Poverty Among Girls Under 16
COMPARE
Malaysian
Lithuanian
Child Poverty Among Girls Under 16
Child Poverty Among Girls Under 16 Comparison
Malaysians
Lithuanians
17.8%
CHILD POVERTY AMONG GIRLS UNDER 16
5.7/ 100
METRIC RATING
214th/ 347
METRIC RANK
13.9%
CHILD POVERTY AMONG GIRLS UNDER 16
99.6/ 100
METRIC RATING
37th/ 347
METRIC RANK
Malaysian vs Lithuanian 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%. Similarly, the statistical analysis conducted on geographies consisting of 410,552,780 people shows a weak positive correlation between the proportion of Lithuanians and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.250 and weighted average of 13.9%, a difference of 28.4%.
Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Malaysian | Lithuanian |
Minimum | 0.81% | 0.39% |
Maximum | 60.0% | 78.0% |
Range | 59.2% | 77.7% |
Mean | 21.1% | 19.1% |
Median | 18.5% | 12.8% |
Interquartile 25% (IQ1) | 13.8% | 9.9% |
Interquartile 75% (IQ3) | 25.6% | 21.5% |
Interquartile Range (IQR) | 11.8% | 11.6% |
Standard Deviation (Sample) | 12.9% | 17.8% |
Standard Deviation (Population) | 12.8% | 17.6% |
Similar Demographics by Child Poverty Among Girls Under 16
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 | Immigrants | 7.3 /100 | #210 | Tragic 17.7% |
Immigrants | Eastern Africa | 6.4 /100 | #211 | Tragic 17.7% |
Immigrants | 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 | Panama | 4.7 /100 | #219 | Tragic 17.9% |
Cubans | 4.1 /100 | #220 | Tragic 18.0% |
Immigrants | Micronesia | 3.5 /100 | #221 | Tragic 18.0% |
Demographics Similar to Lithuanians by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Lithuanians are Russian (13.9%, a difference of 0.020%), Immigrants from Northern Europe (13.8%, a difference of 0.17%), Immigrants from Moldova (13.9%, a difference of 0.30%), Immigrants from Australia (14.0%, a difference of 0.95%), and Immigrants from Sri Lanka (14.0%, a difference of 1.0%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
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% |
Immigrants | Moldova | 99.6 /100 | #38 | Exceptional 13.9% |
Immigrants | Australia | 99.5 /100 | #39 | Exceptional 14.0% |
Immigrants | Sri Lanka | 99.5 /100 | #40 | Exceptional 14.0% |
Immigrants | Bolivia | 99.5 /100 | #41 | Exceptional 14.0% |
Immigrants | Scotland | 99.4 /100 | #42 | Exceptional 14.0% |
Koreans | 99.4 /100 | #43 | Exceptional 14.1% |
Immigrants | Asia | 99.4 /100 | #44 | Exceptional 14.1% |