Portuguese Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Portuguese Child Poverty Among Girls Under 16
15.3%
POVERTY | GIRLS < 16
91.8/ 100
METRIC RATING
122nd/ 347
METRIC RANK
Portuguese Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 438,899,993 people shows a slight positive correlation between the proportion of Portuguese and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.056 and weighted average of 15.3%. On average, for every 1% (one percent) increase in Portuguese within a typical geography, there is an increase of 0.039% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Portuguese 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 Portuguese influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Portuguese 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 Portuguese by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Portuguese are Irish (15.3%, a difference of 0.090%), Carpatho Rusyn (15.3%, a difference of 0.14%), English (15.3%, a difference of 0.19%), Pakistani (15.3%, a difference of 0.21%), and Peruvian (15.4%, a difference of 0.25%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Belgians | 93.9 /100 | #115 | Exceptional 15.2% |
Immigrants from Denmark | 93.3 /100 | #116 | Exceptional 15.2% |
Immigrants from North Macedonia | 93.1 /100 | #117 | Exceptional 15.2% |
Immigrants from Southern Europe | 92.7 /100 | #118 | Exceptional 15.3% |
Immigrants from Zimbabwe | 92.5 /100 | #119 | Exceptional 15.3% |
Pakistanis | 92.3 /100 | #120 | Exceptional 15.3% |
English | 92.2 /100 | #121 | Exceptional 15.3% |
Portuguese | 91.8 /100 | #122 | Exceptional 15.3% |
Irish | 91.5 /100 | #123 | Exceptional 15.3% |
Carpatho Rusyns | 91.4 /100 | #124 | Exceptional 15.3% |
Peruvians | 91.2 /100 | #125 | Exceptional 15.4% |
Scottish | 91.0 /100 | #126 | Exceptional 15.4% |
Immigrants from Norway | 90.8 /100 | #127 | Exceptional 15.4% |
Albanians | 90.5 /100 | #128 | Exceptional 15.4% |
Immigrants from South Eastern Asia | 90.5 /100 | #129 | Exceptional 15.4% |
Portuguese Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Portuguese Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.18% | 2.0% |
Maximum | 48.6% | 45.2% |
Range | 48.4% | 43.2% |
Mean | 19.2% | 16.5% |
Median | 15.9% | 13.9% |
Interquartile 25% (IQ1) | 7.8% | 10.6% |
Interquartile 75% (IQ3) | 31.7% | 19.7% |
Interquartile Range (IQR) | 23.8% | 9.1% |
Standard Deviation (Sample) | 13.6% | 9.6% |
Standard Deviation (Population) | 13.5% | 9.5% |
Correlation Details
Portuguese Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.18% | 342,528,528 | 17.9% |
[ 0.5% - 1.0% ] 0.70% | 51,194,147 | 13.4% |
[ 1.0% - 1.5% ] 1.20% | 18,644,542 | 13.4% |
[ 1.5% - 2.0% ] 1.72% | 9,470,687 | 12.4% |
[ 2.0% - 2.5% ] 2.22% | 5,144,249 | 11.6% |
[ 2.5% - 3.0% ] 2.74% | 2,613,955 | 18.1% |
[ 3.0% - 3.5% ] 3.25% | 2,190,349 | 13.5% |
[ 3.5% - 4.0% ] 3.73% | 1,324,939 | 13.1% |
[ 4.0% - 4.5% ] 4.21% | 632,611 | 13.5% |
[ 4.5% - 5.0% ] 4.74% | 806,126 | 14.0% |
[ 5.0% - 5.5% ] 5.22% | 624,448 | 15.3% |
[ 5.5% - 6.0% ] 5.74% | 685,799 | 13.1% |
[ 6.0% - 6.5% ] 6.21% | 397,285 | 13.1% |
[ 6.5% - 7.0% ] 6.79% | 362,703 | 19.2% |
[ 7.0% - 7.5% ] 7.21% | 242,539 | 15.5% |
[ 7.5% - 8.0% ] 7.81% | 351,020 | 14.1% |
[ 8.0% - 8.5% ] 8.19% | 110,120 | 13.7% |
[ 8.5% - 9.0% ] 8.83% | 139,005 | 16.4% |
[ 9.0% - 9.5% ] 9.16% | 138,728 | 18.2% |
[ 9.5% - 10.0% ] 9.75% | 131,372 | 10.3% |
[ 10.0% - 10.5% ] 10.37% | 9,286 | 19.4% |
[ 10.5% - 11.0% ] 10.83% | 43,512 | 11.3% |
[ 11.0% - 11.5% ] 11.25% | 40,464 | 11.2% |
[ 11.5% - 12.0% ] 11.70% | 124,720 | 21.6% |
[ 12.0% - 12.5% ] 12.35% | 8,136 | 21.7% |
[ 12.5% - 13.0% ] 12.86% | 28,863 | 12.7% |
[ 13.0% - 13.5% ] 13.46% | 18,171 | 8.9% |
[ 13.5% - 14.0% ] 13.77% | 25,361 | 15.1% |
[ 14.0% - 14.5% ] 14.25% | 2,154 | 32.2% |
[ 15.0% - 15.5% ] 15.35% | 6,286 | 42.6% |
[ 15.5% - 16.0% ] 15.66% | 1,130 | 18.7% |
[ 16.0% - 16.5% ] 16.19% | 8,855 | 9.6% |
[ 16.5% - 17.0% ] 16.73% | 15,699 | 10.4% |
[ 18.0% - 18.5% ] 18.28% | 37,822 | 2.4% |
[ 18.5% - 19.0% ] 18.71% | 60,175 | 17.0% |
[ 19.0% - 19.5% ] 19.35% | 53,635 | 19.7% |
[ 20.5% - 21.0% ] 20.70% | 1,348 | 38.1% |
[ 21.0% - 21.5% ] 21.48% | 20,883 | 5.8% |
[ 22.0% - 22.5% ] 22.36% | 13,232 | 5.9% |
[ 22.5% - 23.0% ] 22.84% | 51,735 | 8.4% |
[ 24.5% - 25.0% ] 24.56% | 16,286 | 45.2% |
[ 25.5% - 26.0% ] 25.53% | 1,034 | 21.9% |
[ 26.0% - 26.5% ] 26.13% | 8,101 | 10.6% |
[ 28.5% - 29.0% ] 28.88% | 62,947 | 18.5% |
[ 29.0% - 29.5% ] 29.14% | 21,742 | 11.3% |
[ 31.0% - 31.5% ] 31.35% | 50,396 | 4.9% |
[ 31.5% - 32.0% ] 31.65% | 18,445 | 26.3% |
[ 32.0% - 32.5% ] 32.30% | 10,466 | 5.2% |
[ 32.5% - 33.0% ] 32.61% | 117,778 | 22.7% |
[ 33.0% - 33.5% ] 33.21% | 8,763 | 29.2% |
[ 33.5% - 34.0% ] 33.89% | 15,629 | 18.1% |
[ 35.0% - 35.5% ] 35.22% | 17,164 | 36.4% |
[ 36.0% - 36.5% ] 36.09% | 93,638 | 25.3% |
[ 37.0% - 37.5% ] 37.20% | 43,238 | 13.6% |
[ 37.5% - 38.0% ] 37.83% | 30,558 | 24.3% |
[ 38.0% - 38.5% ] 38.05% | 21,383 | 3.7% |
[ 38.5% - 39.0% ] 38.59% | 4,556 | 8.5% |
[ 39.0% - 39.5% ] 39.14% | 6,484 | 36.6% |
[ 41.0% - 41.5% ] 41.44% | 11,431 | 2.0% |
[ 43.0% - 43.5% ] 43.45% | 25,084 | 24.5% |
[ 48.0% - 48.5% ] 48.18% | 4,660 | 5.7% |
[ 48.5% - 49.0% ] 48.56% | 5,591 | 3.9% |