Immigrants from Argentina Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Immigrants from Argentina Child Poverty Among Girls Under 16
14.6%
POVERTY | GIRLS < 16
98.3/ 100
METRIC RATING
68th/ 347
METRIC RANK
Immigrants from Argentina Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 261,133,430 people shows no correlation between the proportion of Immigrants from Argentina and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.020 and weighted average of 14.6%. On average, for every 1% (one percent) increase in Immigrants from Argentina within a typical geography, there is an increase of 0.086% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Argentina 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 Immigrants from Argentina influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Immigrants from Argentina 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 Immigrants from Argentina by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Argentina are Laotian (14.5%, a difference of 0.15%), Immigrants from Poland (14.6%, a difference of 0.16%), European (14.6%, a difference of 0.28%), Slovene (14.6%, a difference of 0.32%), and Immigrants from Netherlands (14.6%, a difference of 0.34%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Cambodians | 98.7 /100 | #61 | Exceptional 14.4% |
Scandinavians | 98.7 /100 | #62 | Exceptional 14.4% |
Immigrants from Europe | 98.7 /100 | #63 | Exceptional 14.4% |
Immigrants from Philippines | 98.6 /100 | #64 | Exceptional 14.4% |
Immigrants from Sweden | 98.6 /100 | #65 | Exceptional 14.5% |
Immigrants from Belgium | 98.5 /100 | #66 | Exceptional 14.5% |
Laotians | 98.4 /100 | #67 | Exceptional 14.5% |
Immigrants from Argentina | 98.3 /100 | #68 | Exceptional 14.6% |
Immigrants from Poland | 98.2 /100 | #69 | Exceptional 14.6% |
Europeans | 98.1 /100 | #70 | Exceptional 14.6% |
Slovenes | 98.1 /100 | #71 | Exceptional 14.6% |
Immigrants from Netherlands | 98.1 /100 | #72 | Exceptional 14.6% |
Immigrants from Austria | 98.0 /100 | #73 | Exceptional 14.6% |
Taiwanese | 98.0 /100 | #74 | Exceptional 14.6% |
Immigrants from Eastern Europe | 98.0 /100 | #75 | Exceptional 14.6% |
Immigrants from Argentina Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Immigrants from Argentina Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.040% | 2.8% |
Maximum | 10.9% | 56.7% |
Range | 10.8% | 53.9% |
Mean | 2.9% | 14.6% |
Median | 2.4% | 12.6% |
Interquartile 25% (IQ1) | 1.2% | 7.8% |
Interquartile 75% (IQ3) | 3.9% | 16.1% |
Interquartile Range (IQR) | 2.7% | 8.4% |
Standard Deviation (Sample) | 2.4% | 10.3% |
Standard Deviation (Population) | 2.4% | 10.3% |
Correlation Details
Immigrants from Argentina Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.040% | 154,641,547 | 18.0% |
[ 0.0% - 0.5% ] 0.13% | 57,685,891 | 16.1% |
[ 0.0% - 0.5% ] 0.22% | 19,908,685 | 13.9% |
[ 0.0% - 0.5% ] 0.31% | 10,024,063 | 12.8% |
[ 0.0% - 0.5% ] 0.40% | 6,575,882 | 12.7% |
[ 0.0% - 0.5% ] 0.49% | 3,150,900 | 14.0% |
[ 0.5% - 1.0% ] 0.58% | 1,978,016 | 13.7% |
[ 0.5% - 1.0% ] 0.67% | 1,490,322 | 12.6% |
[ 0.5% - 1.0% ] 0.77% | 829,558 | 11.3% |
[ 0.5% - 1.0% ] 0.84% | 617,621 | 12.4% |
[ 0.5% - 1.0% ] 0.94% | 740,283 | 13.4% |
[ 1.0% - 1.5% ] 1.03% | 347,800 | 9.0% |
[ 1.0% - 1.5% ] 1.10% | 768,853 | 17.4% |
[ 1.0% - 1.5% ] 1.21% | 438,846 | 16.1% |
[ 1.0% - 1.5% ] 1.31% | 309,456 | 10.5% |
[ 1.0% - 1.5% ] 1.38% | 34,966 | 10.7% |
[ 1.0% - 1.5% ] 1.45% | 22,518 | 36.5% |
[ 1.5% - 2.0% ] 1.57% | 212,284 | 11.0% |
[ 1.5% - 2.0% ] 1.65% | 307,203 | 14.6% |
[ 1.5% - 2.0% ] 1.76% | 13,724 | 17.5% |
[ 1.5% - 2.0% ] 1.84% | 88,925 | 18.3% |
[ 1.5% - 2.0% ] 1.93% | 74,967 | 13.4% |
[ 1.5% - 2.0% ] 1.99% | 82,561 | 22.0% |
[ 2.0% - 2.5% ] 2.09% | 21,051 | 4.4% |
[ 2.0% - 2.5% ] 2.19% | 58,150 | 10.1% |
[ 2.0% - 2.5% ] 2.29% | 25,420 | 22.2% |
[ 2.0% - 2.5% ] 2.38% | 23,789 | 10.2% |
[ 2.0% - 2.5% ] 2.43% | 8,955 | 7.8% |
[ 2.5% - 3.0% ] 2.56% | 26,814 | 7.4% |
[ 2.5% - 3.0% ] 2.68% | 12,087 | 8.5% |
[ 2.5% - 3.0% ] 2.72% | 53,581 | 16.0% |
[ 2.5% - 3.0% ] 2.84% | 564 | 43.9% |
[ 2.5% - 3.0% ] 2.92% | 116,225 | 7.0% |
[ 3.0% - 3.5% ] 3.02% | 44,914 | 25.6% |
[ 3.0% - 3.5% ] 3.14% | 46,704 | 10.9% |
[ 3.0% - 3.5% ] 3.23% | 4,801 | 4.0% |
[ 3.0% - 3.5% ] 3.35% | 5,368 | 22.7% |
[ 3.0% - 3.5% ] 3.43% | 42,058 | 7.8% |
[ 3.5% - 4.0% ] 3.71% | 36,324 | 11.7% |
[ 3.5% - 4.0% ] 3.83% | 26,436 | 2.8% |
[ 3.5% - 4.0% ] 3.93% | 22,202 | 6.7% |
[ 3.5% - 4.0% ] 3.98% | 5,625 | 12.9% |
[ 4.0% - 4.5% ] 4.04% | 23,734 | 6.1% |
[ 4.0% - 4.5% ] 4.15% | 289 | 45.0% |
[ 4.0% - 4.5% ] 4.33% | 1,640 | 14.9% |
[ 4.5% - 5.0% ] 4.55% | 82,400 | 7.3% |
[ 4.5% - 5.0% ] 4.60% | 16,450 | 4.6% |
[ 5.0% - 5.5% ] 5.15% | 7,800 | 13.5% |
[ 6.0% - 6.5% ] 6.03% | 35,967 | 7.5% |
[ 6.0% - 6.5% ] 6.37% | 1,381 | 7.8% |
[ 6.5% - 7.0% ] 6.85% | 3,589 | 56.7% |
[ 7.5% - 8.0% ] 7.99% | 5,030 | 21.6% |
[ 10.5% - 11.0% ] 10.81% | 14,639 | 7.7% |
[ 10.5% - 11.0% ] 10.86% | 14,572 | 7.7% |