Nonimmigrants vs Moroccan Poverty
COMPARE
Nonimmigrants
Moroccan
Poverty
Poverty Comparison
Nonimmigrants
Moroccans
13.3%
POVERTY
3.3/ 100
METRIC RATING
216th/ 347
METRIC RANK
13.2%
POVERTY
5.2/ 100
METRIC RATING
211th/ 347
METRIC RANK
Nonimmigrants vs Moroccan Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 583,909,037 people shows a mild negative correlation between the proportion of Nonimmigrants and poverty level in the United States with a correlation coefficient (R) of -0.307 and weighted average of 13.3%. Similarly, the statistical analysis conducted on geographies consisting of 201,757,500 people shows a significant positive correlation between the proportion of Moroccans and poverty level in the United States with a correlation coefficient (R) of 0.640 and weighted average of 13.2%, a difference of 1.1%.
Poverty Correlation Summary
| Measurement | Nonimmigrants | Moroccan |
| Minimum | 7.5% | 3.2% |
| Maximum | 65.6% | 50.3% |
| Range | 58.1% | 47.1% |
| Mean | 14.4% | 15.3% |
| Median | 13.3% | 12.5% |
| Interquartile 25% (IQ1) | 12.2% | 10.1% |
| Interquartile 75% (IQ3) | 15.0% | 16.7% |
| Interquartile Range (IQR) | 2.7% | 6.6% |
| Standard Deviation (Sample) | 5.9% | 9.6% |
| Standard Deviation (Population) | 5.9% | 9.5% |
Demographics Similar to Nonimmigrants and Moroccans by Poverty
In terms of poverty, the demographic groups most similar to Nonimmigrants are Japanese (13.3%, a difference of 0.0%), Immigrants from Uzbekistan (13.3%, a difference of 0.040%), Immigrants from Thailand (13.3%, a difference of 0.10%), Immigrants from Cambodia (13.4%, a difference of 0.23%), and Bermudan (13.3%, a difference of 0.26%). Similarly, the demographic groups most similar to Moroccans are Immigrants from the Azores (13.1%, a difference of 0.35%), Malaysian (13.1%, a difference of 0.38%), Ugandan (13.1%, a difference of 0.42%), Immigrants (13.2%, a difference of 0.45%), and Panamanian (13.1%, a difference of 0.57%).
| Demographics | Rating | Rank | Poverty |
| Hmong | 15.0 /100 | #203 | Poor 12.8% |
| Immigrants | Western Asia | 14.1 /100 | #204 | Poor 12.9% |
| Tsimshian | 9.2 /100 | #205 | Tragic 13.0% |
| Immigrants | Eastern Africa | 7.0 /100 | #206 | Tragic 13.1% |
| Panamanians | 6.6 /100 | #207 | Tragic 13.1% |
| Ugandans | 6.2 /100 | #208 | Tragic 13.1% |
| Malaysians | 6.1 /100 | #209 | Tragic 13.1% |
| Immigrants | Azores | 6.1 /100 | #210 | Tragic 13.1% |
| Moroccans | 5.2 /100 | #211 | Tragic 13.2% |
| Immigrants | Immigrants | 4.3 /100 | #212 | Tragic 13.2% |
| Immigrants | Panama | 4.1 /100 | #213 | Tragic 13.3% |
| Bermudans | 3.7 /100 | #214 | Tragic 13.3% |
| Japanese | 3.3 /100 | #215 | Tragic 13.3% |
| Immigrants | Nonimmigrants | 3.3 /100 | #216 | Tragic 13.3% |
| Immigrants | Uzbekistan | 3.2 /100 | #217 | Tragic 13.3% |
| Immigrants | Thailand | 3.1 /100 | #218 | Tragic 13.3% |
| Immigrants | Cambodia | 3.0 /100 | #219 | Tragic 13.4% |
| Americans | 2.9 /100 | #220 | Tragic 13.4% |
| Alsatians | 2.6 /100 | #221 | Tragic 13.4% |
| Immigrants | Micronesia | 2.6 /100 | #222 | Tragic 13.4% |
| Immigrants | Africa | 2.5 /100 | #223 | Tragic 13.4% |