Immigrants from Zimbabwe Child Poverty Among Girls Under 16
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Immigrants from Zimbabwe
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Child Poverty Among Girls Under 16
Immigrants from Zimbabwe Child Poverty Among Girls Under 16
15.3%
POVERTY | GIRLS < 16
92.5/ 100
METRIC RATING
119th/ 347
METRIC RANK
Immigrants from Zimbabwe Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 117,219,082 people shows a moderate positive correlation between the proportion of Immigrants from Zimbabwe and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.404 and weighted average of 15.3%. On average, for every 1% (one percent) increase in Immigrants from Zimbabwe within a typical geography, there is an increase of 2.5% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Zimbabwe 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 Zimbabwe 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 Zimbabwe 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 Zimbabwe by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Zimbabwe are Pakistani (15.3%, a difference of 0.090%), Immigrants from Southern Europe (15.3%, a difference of 0.11%), English (15.3%, a difference of 0.11%), Immigrants from North Macedonia (15.2%, a difference of 0.29%), and Portuguese (15.3%, a difference of 0.30%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Immigrants from Kazakhstan | 94.3 /100 | #112 | Exceptional 15.1% |
Dutch | 94.3 /100 | #113 | Exceptional 15.1% |
Sri Lankans | 94.0 /100 | #114 | Exceptional 15.2% |
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 Zimbabwe Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Immigrants from Zimbabwe Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.016% | 2.0% |
Maximum | 10.4% | 67.0% |
Range | 10.4% | 64.9% |
Mean | 1.6% | 17.9% |
Median | 0.92% | 13.8% |
Interquartile 25% (IQ1) | 0.46% | 8.8% |
Interquartile 75% (IQ3) | 1.6% | 20.1% |
Interquartile Range (IQR) | 1.1% | 11.3% |
Standard Deviation (Sample) | 2.2% | 13.4% |
Standard Deviation (Population) | 2.1% | 13.2% |
Correlation Details
Immigrants from Zimbabwe Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.016% | 96,373,040 | 19.3% |
[ 0.0% - 0.5% ] 0.074% | 11,456,050 | 13.7% |
[ 0.0% - 0.5% ] 0.13% | 3,905,390 | 13.3% |
[ 0.0% - 0.5% ] 0.18% | 2,050,702 | 12.3% |
[ 0.0% - 0.5% ] 0.23% | 843,280 | 13.8% |
[ 0.0% - 0.5% ] 0.29% | 660,426 | 19.2% |
[ 0.0% - 0.5% ] 0.33% | 451,175 | 15.6% |
[ 0.0% - 0.5% ] 0.39% | 327,144 | 11.7% |
[ 0.0% - 0.5% ] 0.44% | 341,872 | 8.8% |
[ 0.0% - 0.5% ] 0.47% | 89,148 | 12.1% |
[ 0.5% - 1.0% ] 0.55% | 233,029 | 7.2% |
[ 0.5% - 1.0% ] 0.61% | 76,876 | 7.0% |
[ 0.5% - 1.0% ] 0.67% | 38,918 | 5.1% |
[ 0.5% - 1.0% ] 0.71% | 39,523 | 30.9% |
[ 0.5% - 1.0% ] 0.77% | 68,360 | 8.1% |
[ 0.5% - 1.0% ] 0.79% | 52,753 | 19.2% |
[ 0.5% - 1.0% ] 0.89% | 5,757 | 5.8% |
[ 0.5% - 1.0% ] 0.91% | 52,445 | 13.8% |
[ 0.5% - 1.0% ] 0.94% | 3,935 | 11.7% |
[ 1.0% - 1.5% ] 1.02% | 32,114 | 11.3% |
[ 1.0% - 1.5% ] 1.07% | 1,596 | 19.7% |
[ 1.0% - 1.5% ] 1.11% | 25,785 | 7.7% |
[ 1.0% - 1.5% ] 1.16% | 4,413 | 67.0% |
[ 1.0% - 1.5% ] 1.34% | 11,168 | 2.0% |
[ 1.0% - 1.5% ] 1.37% | 803 | 13.8% |
[ 1.0% - 1.5% ] 1.43% | 3,572 | 29.4% |
[ 1.5% - 2.0% ] 1.52% | 197 | 7.7% |
[ 1.5% - 2.0% ] 1.62% | 26,607 | 8.8% |
[ 1.5% - 2.0% ] 1.86% | 1,236 | 41.3% |
[ 2.0% - 2.5% ] 2.24% | 18,441 | 10.3% |
[ 2.0% - 2.5% ] 2.32% | 18,077 | 16.1% |
[ 2.5% - 3.0% ] 2.54% | 197 | 44.4% |
[ 4.0% - 4.5% ] 4.19% | 2,961 | 20.6% |
[ 5.0% - 5.5% ] 5.42% | 1,366 | 22.6% |
[ 7.5% - 8.0% ] 7.64% | 419 | 36.4% |
[ 10.0% - 10.5% ] 10.42% | 307 | 36.4% |