Burmese Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Burmese Child Poverty Among Girls Under 16
13.0%
POVERTY | GIRLS < 16
99.9/ 100
METRIC RATING
14th/ 347
METRIC RANK
Burmese Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 454,212,415 people shows a poor positive correlation between the proportion of Burmese and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.126 and weighted average of 13.0%. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.085% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Burmese 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 Burmese influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Burmese 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 Burmese by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Burmese are Okinawan (13.0%, a difference of 0.010%), Immigrants from Lithuania (13.1%, a difference of 0.93%), Bulgarian (13.1%, a difference of 1.0%), Immigrants from Korea (13.1%, a difference of 1.0%), and Immigrants from Ireland (12.9%, a difference of 1.1%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Chinese | 100.0 /100 | #7 | Exceptional 12.3% |
| Iranians | 100.0 /100 | #8 | Exceptional 12.4% |
| Immigrants from Singapore | 100.0 /100 | #9 | Exceptional 12.5% |
| Immigrants from Iran | 100.0 /100 | #10 | Exceptional 12.6% |
| Immigrants from South Central Asia | 100.0 /100 | #11 | Exceptional 12.7% |
| Bhutanese | 100.0 /100 | #12 | Exceptional 12.7% |
| Immigrants from Ireland | 99.9 /100 | #13 | Exceptional 12.9% |
| Burmese | 99.9 /100 | #14 | Exceptional 13.0% |
| Okinawans | 99.9 /100 | #15 | Exceptional 13.0% |
| Immigrants from Lithuania | 99.9 /100 | #16 | Exceptional 13.1% |
| Bulgarians | 99.9 /100 | #17 | Exceptional 13.1% |
| Immigrants from Korea | 99.9 /100 | #18 | Exceptional 13.1% |
| Cypriots | 99.9 /100 | #19 | Exceptional 13.2% |
| Immigrants from Japan | 99.9 /100 | #20 | Exceptional 13.3% |
| Assyrians/Chaldeans/Syriacs | 99.9 /100 | #21 | Exceptional 13.3% |
Burmese Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Burmese Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.15% | 1.2% |
| Maximum | 53.9% | 43.4% |
| Range | 53.7% | 42.2% |
| Mean | 11.9% | 10.3% |
| Median | 9.9% | 9.2% |
| Interquartile 25% (IQ1) | 5.0% | 6.6% |
| Interquartile 75% (IQ3) | 15.3% | 12.7% |
| Interquartile Range (IQR) | 10.3% | 6.1% |
| Standard Deviation (Sample) | 10.1% | 6.8% |
| Standard Deviation (Population) | 10.0% | 6.8% |
Correlation Details
| Burmese Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.15% | 190,704,952 | 20.3% |
[ 0.0% - 0.5% ] 0.45% | 108,825,343 | 16.7% |
[ 0.5% - 1.0% ] 0.76% | 50,834,392 | 13.9% |
[ 1.0% - 1.5% ] 1.07% | 34,178,117 | 14.4% |
[ 1.0% - 1.5% ] 1.39% | 16,915,507 | 11.2% |
[ 1.5% - 2.0% ] 1.70% | 13,379,599 | 9.8% |
[ 2.0% - 2.5% ] 2.02% | 8,075,300 | 9.9% |
[ 2.0% - 2.5% ] 2.32% | 5,207,942 | 8.7% |
[ 2.5% - 3.0% ] 2.63% | 3,662,482 | 8.4% |
[ 2.5% - 3.0% ] 2.94% | 7,038,088 | 16.3% |
[ 3.0% - 3.5% ] 3.28% | 2,230,391 | 9.4% |
[ 3.5% - 4.0% ] 3.60% | 1,681,425 | 8.8% |
[ 3.5% - 4.0% ] 3.89% | 1,416,452 | 10.1% |
[ 4.0% - 4.5% ] 4.20% | 1,192,421 | 9.7% |
[ 4.0% - 4.5% ] 4.49% | 917,463 | 8.8% |
[ 4.5% - 5.0% ] 4.83% | 594,292 | 10.1% |
[ 5.0% - 5.5% ] 5.17% | 942,593 | 8.9% |
[ 5.0% - 5.5% ] 5.43% | 759,191 | 9.1% |
[ 5.5% - 6.0% ] 5.74% | 289,587 | 8.2% |
[ 6.0% - 6.5% ] 6.11% | 778,535 | 10.6% |
[ 6.0% - 6.5% ] 6.39% | 290,013 | 8.6% |
[ 6.5% - 7.0% ] 6.74% | 222,035 | 10.0% |
[ 6.5% - 7.0% ] 6.99% | 238,360 | 5.8% |
[ 7.0% - 7.5% ] 7.39% | 237,860 | 11.8% |
[ 7.5% - 8.0% ] 7.67% | 118,430 | 13.1% |
[ 7.5% - 8.0% ] 7.86% | 470,004 | 9.2% |
[ 8.0% - 8.5% ] 8.34% | 55,248 | 15.5% |
[ 8.5% - 9.0% ] 8.62% | 126,382 | 17.9% |
[ 8.5% - 9.0% ] 8.87% | 264,338 | 6.4% |
[ 9.0% - 9.5% ] 9.19% | 98,849 | 8.8% |
[ 9.5% - 10.0% ] 9.52% | 136,684 | 9.3% |
[ 9.5% - 10.0% ] 9.75% | 120,758 | 2.1% |
[ 10.0% - 10.5% ] 10.12% | 107,757 | 4.9% |
[ 10.0% - 10.5% ] 10.47% | 35,840 | 2.4% |
[ 10.5% - 11.0% ] 10.77% | 206,083 | 5.9% |
[ 11.0% - 11.5% ] 11.03% | 282,578 | 16.2% |
[ 11.0% - 11.5% ] 11.24% | 36,214 | 3.5% |
[ 11.5% - 12.0% ] 11.58% | 59,410 | 24.4% |
[ 11.5% - 12.0% ] 11.84% | 47,099 | 7.8% |
[ 12.0% - 12.5% ] 12.19% | 15,117 | 1.9% |
[ 12.5% - 13.0% ] 12.68% | 258,036 | 12.3% |
[ 13.0% - 13.5% ] 13.04% | 49,955 | 7.6% |
[ 13.0% - 13.5% ] 13.19% | 229,612 | 9.6% |
[ 13.5% - 14.0% ] 13.57% | 72,859 | 9.4% |
[ 13.5% - 14.0% ] 13.81% | 93,823 | 22.9% |
[ 14.0% - 14.5% ] 14.44% | 22,723 | 13.4% |
[ 14.5% - 15.0% ] 14.80% | 151,681 | 7.5% |
[ 15.0% - 15.5% ] 15.04% | 50,419 | 3.0% |
[ 15.5% - 16.0% ] 15.64% | 15,522 | 7.6% |
[ 16.0% - 16.5% ] 16.02% | 24,044 | 2.0% |
[ 16.0% - 16.5% ] 16.41% | 20,092 | 6.8% |
[ 16.5% - 17.0% ] 16.79% | 32,344 | 4.0% |
[ 17.0% - 17.5% ] 17.38% | 30,598 | 1.2% |
[ 17.5% - 18.0% ] 17.58% | 5,495 | 1.8% |
[ 21.0% - 21.5% ] 21.01% | 39,049 | 12.1% |
[ 23.0% - 23.5% ] 23.22% | 23,546 | 6.0% |
[ 23.0% - 23.5% ] 23.48% | 132,379 | 11.5% |
[ 24.5% - 25.0% ] 24.51% | 17,110 | 2.0% |
[ 24.5% - 25.0% ] 24.71% | 37,754 | 43.4% |
[ 25.5% - 26.0% ] 25.72% | 43,169 | 17.3% |
[ 27.0% - 27.5% ] 27.19% | 18,564 | 8.1% |
[ 31.5% - 32.0% ] 31.55% | 5,863 | 1.3% |
[ 46.0% - 46.5% ] 46.33% | 4,185 | 19.4% |
[ 53.5% - 54.0% ] 53.89% | 40,462 | 20.8% |