Malaysian Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Malaysian Female Poverty Among 25-34 Year Olds
14.7%
POVERTY | FEMALES 25-34
1.4/ 100
METRIC RATING
239th/ 347
METRIC RANK
Malaysian Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 224,654,876 people shows a weak positive correlation between the proportion of Malaysians and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.203 and weighted average of 14.7%. On average, for every 1% (one percent) increase in Malaysians within a typical geography, there is an increase of 0.60% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Malaysians and poverty level among females between the ages 25 and 34 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 females between the ages 25 and 34 within an area, or if Malaysians simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.
Demographics Similar to Malaysians by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Malaysians are Alsatian (14.7%, a difference of 0.030%), Immigrants from Grenada (14.7%, a difference of 0.050%), Salvadoran (14.7%, a difference of 0.070%), Immigrants from Ghana (14.7%, a difference of 0.070%), and Immigrants from Jamaica (14.7%, a difference of 0.090%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Immigrants from Ecuador | 1.9 /100 | #232 | Tragic 14.6% |
| Whites/Caucasians | 1.8 /100 | #233 | Tragic 14.7% |
| Cubans | 1.6 /100 | #234 | Tragic 14.7% |
| Immigrants from Jamaica | 1.4 /100 | #235 | Tragic 14.7% |
| Salvadorans | 1.4 /100 | #236 | Tragic 14.7% |
| Immigrants from Ghana | 1.4 /100 | #237 | Tragic 14.7% |
| Alsatians | 1.4 /100 | #238 | Tragic 14.7% |
| Malaysians | 1.4 /100 | #239 | Tragic 14.7% |
| Immigrants from Grenada | 1.3 /100 | #240 | Tragic 14.7% |
| Scotch-Irish | 1.2 /100 | #241 | Tragic 14.8% |
| Barbadians | 1.2 /100 | #242 | Tragic 14.8% |
| Immigrants from Nicaragua | 1.1 /100 | #243 | Tragic 14.8% |
| Immigrants from Bangladesh | 1.1 /100 | #244 | Tragic 14.8% |
| Immigrants from Middle Africa | 1.0 /100 | #245 | Tragic 14.8% |
| Jamaicans | 1.0 /100 | #246 | Tragic 14.8% |
Malaysian Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Malaysian Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.044% | 0.70% |
| Maximum | 20.5% | 63.1% |
| Range | 20.4% | 62.4% |
| Mean | 5.1% | 21.3% |
| Median | 3.9% | 17.8% |
| Interquartile 25% (IQ1) | 2.0% | 13.7% |
| Interquartile 75% (IQ3) | 7.8% | 27.1% |
| Interquartile Range (IQR) | 5.8% | 13.3% |
| Standard Deviation (Sample) | 4.3% | 12.8% |
| Standard Deviation (Population) | 4.3% | 12.7% |
Correlation Details
| Malaysian Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.044% | 133,847,678 | 14.0% |
[ 0.0% - 0.5% ] 0.17% | 38,688,520 | 13.5% |
[ 0.0% - 0.5% ] 0.28% | 19,007,597 | 12.8% |
[ 0.0% - 0.5% ] 0.39% | 9,145,195 | 12.6% |
[ 0.5% - 1.0% ] 0.52% | 6,611,099 | 12.2% |
[ 0.5% - 1.0% ] 0.64% | 3,559,153 | 14.1% |
[ 0.5% - 1.0% ] 0.74% | 2,383,504 | 14.0% |
[ 0.5% - 1.0% ] 0.87% | 1,898,314 | 15.5% |
[ 0.5% - 1.0% ] 0.97% | 2,171,793 | 15.5% |
[ 1.0% - 1.5% ] 1.09% | 861,031 | 14.4% |
[ 1.0% - 1.5% ] 1.21% | 1,545,884 | 18.9% |
[ 1.0% - 1.5% ] 1.34% | 837,138 | 12.5% |
[ 1.0% - 1.5% ] 1.45% | 444,478 | 15.1% |
[ 1.5% - 2.0% ] 1.55% | 589,184 | 16.8% |
[ 1.5% - 2.0% ] 1.67% | 733,814 | 17.5% |
[ 1.5% - 2.0% ] 1.78% | 241,453 | 15.9% |
[ 1.5% - 2.0% ] 1.89% | 259,008 | 18.0% |
[ 2.0% - 2.5% ] 2.02% | 200,914 | 18.2% |
[ 2.0% - 2.5% ] 2.11% | 267,934 | 17.4% |
[ 2.0% - 2.5% ] 2.26% | 85,603 | 10.3% |
[ 2.0% - 2.5% ] 2.36% | 185,948 | 18.1% |
[ 2.0% - 2.5% ] 2.48% | 210,284 | 18.3% |
[ 2.5% - 3.0% ] 2.58% | 112,120 | 28.1% |
[ 2.5% - 3.0% ] 2.69% | 20,864 | 26.1% |
[ 2.5% - 3.0% ] 2.83% | 147,817 | 12.2% |
[ 2.5% - 3.0% ] 2.94% | 193,123 | 17.3% |
[ 3.0% - 3.5% ] 3.03% | 100,695 | 14.2% |
[ 3.0% - 3.5% ] 3.20% | 27,756 | 40.4% |
[ 3.0% - 3.5% ] 3.28% | 42,705 | 10.3% |
[ 3.0% - 3.5% ] 3.42% | 3,219 | 35.8% |
[ 3.0% - 3.5% ] 3.47% | 25,763 | 35.2% |
[ 3.5% - 4.0% ] 3.66% | 18,104 | 15.1% |
[ 3.5% - 4.0% ] 3.75% | 32,829 | 11.3% |
[ 3.5% - 4.0% ] 3.86% | 15,322 | 29.1% |
[ 3.5% - 4.0% ] 3.99% | 1,328 | 13.2% |
[ 4.0% - 4.5% ] 4.14% | 1,955 | 24.5% |
[ 4.0% - 4.5% ] 4.27% | 10,155 | 0.70% |
[ 4.0% - 4.5% ] 4.41% | 3,927 | 41.0% |
[ 4.5% - 5.0% ] 4.58% | 19,389 | 22.3% |
[ 4.5% - 5.0% ] 4.64% | 2,845 | 29.5% |
[ 4.5% - 5.0% ] 4.82% | 2,262 | 18.0% |
[ 4.5% - 5.0% ] 4.89% | 1,309 | 49.0% |
[ 5.0% - 5.5% ] 5.02% | 7,674 | 14.9% |
[ 5.0% - 5.5% ] 5.09% | 2,063 | 10.7% |
[ 5.0% - 5.5% ] 5.24% | 1,947 | 63.1% |
[ 5.5% - 6.0% ] 5.59% | 1,574 | 59.5% |
[ 5.5% - 6.0% ] 5.78% | 1,316 | 14.5% |
[ 5.5% - 6.0% ] 5.91% | 8,788 | 26.9% |
[ 6.0% - 6.5% ] 6.10% | 541 | 25.0% |
[ 7.0% - 7.5% ] 7.19% | 1,307 | 1.4% |
[ 7.5% - 8.0% ] 7.63% | 22,539 | 48.6% |
[ 7.5% - 8.0% ] 7.91% | 278 | 29.4% |
[ 8.0% - 8.5% ] 8.21% | 15,355 | 23.2% |
[ 8.0% - 8.5% ] 8.44% | 2,819 | 3.5% |
[ 8.5% - 9.0% ] 8.85% | 610 | 27.3% |
[ 9.0% - 9.5% ] 9.10% | 13,838 | 24.2% |
[ 9.5% - 10.0% ] 9.95% | 191 | 30.8% |
[ 10.0% - 10.5% ] 10.21% | 2,595 | 17.6% |
[ 10.0% - 10.5% ] 10.34% | 861 | 20.8% |
[ 10.5% - 11.0% ] 10.54% | 389 | 4.5% |
[ 10.5% - 11.0% ] 10.78% | 2,207 | 4.8% |
[ 10.5% - 11.0% ] 10.90% | 991 | 20.4% |
[ 11.0% - 11.5% ] 11.17% | 197 | 30.0% |
[ 13.5% - 14.0% ] 13.71% | 2,984 | 34.5% |
[ 13.5% - 14.0% ] 13.79% | 1,900 | 21.5% |
[ 14.0% - 14.5% ] 14.47% | 1,693 | 50.6% |
[ 15.0% - 15.5% ] 15.46% | 679 | 7.1% |
[ 20.0% - 20.5% ] 20.49% | 527 | 25.6% |