Immigrants from Zimbabwe Child Poverty Under the Age of 16
COMPARE
Immigrants from Zimbabwe
Select to Compare
Child Poverty Under the Age of 16
Immigrants from Zimbabwe Child Poverty Under the Age of 16
15.0%
POVERTY | CHILDREN < 16
92.1/ 100
METRIC RATING
121st/ 347
METRIC RANK
Immigrants from Zimbabwe Child Poverty Under the Age of 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 117,606,352 people shows a poor positive correlation between the proportion of Immigrants from Zimbabwe and poverty level among children under the age of 16 in the United States with a correlation coefficient (R) of 0.163 and weighted average of 15.0%. On average, for every 1% (one percent) increase in Immigrants from Zimbabwe within a typical geography, there is an increase of 0.59% in poverty level among children under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Zimbabwe and poverty level among children 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 children 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 children under the age of 16 due to other factors.
Demographics Similar to Immigrants from Zimbabwe by Child Poverty Under the Age of 16
In terms of child poverty under the age of 16, the demographic groups most similar to Immigrants from Zimbabwe are South African (15.0%, a difference of 0.010%), Scottish (15.0%, a difference of 0.090%), Pakistani (15.0%, a difference of 0.20%), Immigrants from Malaysia (15.0%, a difference of 0.25%), and Immigrants from Norway (15.0%, a difference of 0.30%).
| Demographics | Rating | Rank | Child Poverty Under the Age of 16 |
| Sri Lankans | 93.2 /100 | #114 | Exceptional 14.9% |
| Immigrants from Ukraine | 93.1 /100 | #115 | Exceptional 14.9% |
| Carpatho Rusyns | 93.1 /100 | #116 | Exceptional 14.9% |
| Immigrants from Norway | 92.8 /100 | #117 | Exceptional 15.0% |
| Immigrants from Malaysia | 92.6 /100 | #118 | Exceptional 15.0% |
| Scottish | 92.3 /100 | #119 | Exceptional 15.0% |
| South Africans | 92.1 /100 | #120 | Exceptional 15.0% |
| Immigrants from Zimbabwe | 92.1 /100 | #121 | Exceptional 15.0% |
| Pakistanis | 91.7 /100 | #122 | Exceptional 15.0% |
| Immigrants from Brazil | 91.1 /100 | #123 | Exceptional 15.1% |
| Czechoslovakians | 91.0 /100 | #124 | Exceptional 15.1% |
| Palestinians | 90.9 /100 | #125 | Exceptional 15.1% |
| Portuguese | 90.6 /100 | #126 | Exceptional 15.1% |
| Immigrants from Western Europe | 90.3 /100 | #127 | Exceptional 15.1% |
| Immigrants from Kazakhstan | 90.2 /100 | #128 | Exceptional 15.1% |
Immigrants from Zimbabwe Child Poverty Under the Age of 16 Correlation Summary
| Measurement | Immigrants from Zimbabwe Data | Child Poverty Under the Age of 16 Data |
| Minimum | 0.017% | 1.7% |
| Maximum | 10.4% | 40.0% |
| Range | 10.4% | 38.3% |
| Mean | 1.7% | 13.6% |
| Median | 0.92% | 12.9% |
| Interquartile 25% (IQ1) | 0.46% | 8.0% |
| Interquartile 75% (IQ3) | 1.7% | 18.5% |
| Interquartile Range (IQR) | 1.3% | 10.5% |
| Standard Deviation (Sample) | 2.2% | 8.0% |
| Standard Deviation (Population) | 2.2% | 7.9% |
Correlation Details
| Immigrants from Zimbabwe Percentile | Sample Size | Child Poverty Under the Age of 16 |
[ 0.0% - 0.5% ] 0.017% | 96,530,769 | 19.2% |
[ 0.0% - 0.5% ] 0.074% | 11,551,653 | 13.4% |
[ 0.0% - 0.5% ] 0.13% | 3,938,954 | 13.1% |
[ 0.0% - 0.5% ] 0.18% | 2,064,865 | 12.0% |
[ 0.0% - 0.5% ] 0.23% | 864,860 | 13.9% |
[ 0.0% - 0.5% ] 0.29% | 665,601 | 20.1% |
[ 0.0% - 0.5% ] 0.33% | 478,711 | 14.3% |
[ 0.0% - 0.5% ] 0.39% | 327,914 | 12.6% |
[ 0.0% - 0.5% ] 0.45% | 353,018 | 8.5% |
[ 0.0% - 0.5% ] 0.48% | 93,463 | 11.9% |
[ 0.5% - 1.0% ] 0.55% | 233,029 | 8.2% |
[ 0.5% - 1.0% ] 0.61% | 76,876 | 8.1% |
[ 0.5% - 1.0% ] 0.67% | 38,918 | 7.0% |
[ 0.5% - 1.0% ] 0.71% | 39,523 | 32.0% |
[ 0.5% - 1.0% ] 0.77% | 76,206 | 8.1% |
[ 0.5% - 1.0% ] 0.79% | 52,753 | 21.2% |
[ 0.5% - 1.0% ] 0.89% | 9,712 | 3.9% |
[ 0.5% - 1.0% ] 0.91% | 52,445 | 11.8% |
[ 0.5% - 1.0% ] 0.94% | 3,935 | 7.9% |
[ 1.0% - 1.5% ] 1.02% | 32,114 | 10.7% |
[ 1.0% - 1.5% ] 1.06% | 4,790 | 19.9% |
[ 1.0% - 1.5% ] 1.11% | 29,419 | 4.6% |
[ 1.0% - 1.5% ] 1.34% | 11,168 | 1.7% |
[ 1.0% - 1.5% ] 1.37% | 803 | 5.3% |
[ 1.0% - 1.5% ] 1.43% | 3,572 | 21.7% |
[ 1.5% - 2.0% ] 1.52% | 197 | 4.9% |
[ 1.5% - 2.0% ] 1.62% | 26,607 | 7.0% |
[ 1.5% - 2.0% ] 1.86% | 1,236 | 13.6% |
[ 2.0% - 2.5% ] 2.24% | 18,441 | 7.6% |
[ 2.0% - 2.5% ] 2.32% | 18,077 | 16.2% |
[ 2.5% - 3.0% ] 2.54% | 197 | 40.0% |
[ 4.0% - 4.5% ] 4.19% | 2,961 | 17.8% |
[ 4.5% - 5.0% ] 4.62% | 1,473 | 25.4% |
[ 5.0% - 5.5% ] 5.42% | 1,366 | 20.8% |
[ 7.5% - 8.0% ] 7.64% | 419 | 13.1% |
[ 10.0% - 10.5% ] 10.42% | 307 | 13.1% |