Hmong vs Immigrants Poverty
COMPARE
Hmong
Immigrants
Poverty
Poverty Comparison
Hmong
Immigrants
12.8%
POVERTY
15.0/ 100
METRIC RATING
203rd/ 347
METRIC RANK
13.2%
POVERTY
4.3/ 100
METRIC RATING
212th/ 347
METRIC RANK
Hmong vs Immigrants Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 24,672,093 people shows a mild negative correlation between the proportion of Hmong and poverty level in the United States with a correlation coefficient (R) of -0.337 and weighted average of 12.8%. Similarly, the statistical analysis conducted on geographies consisting of 576,811,759 people shows a mild positive correlation between the proportion of Immigrants and poverty level in the United States with a correlation coefficient (R) of 0.380 and weighted average of 13.2%, a difference of 3.2%.
Poverty Correlation Summary
| Measurement | Hmong | Immigrants |
| Minimum | 3.3% | 7.5% |
| Maximum | 28.0% | 70.2% |
| Range | 24.7% | 62.7% |
| Mean | 13.1% | 14.8% |
| Median | 12.5% | 13.3% |
| Interquartile 25% (IQ1) | 9.6% | 12.3% |
| Interquartile 75% (IQ3) | 16.8% | 15.1% |
| Interquartile Range (IQR) | 7.2% | 2.8% |
| Standard Deviation (Sample) | 5.1% | 7.5% |
| Standard Deviation (Population) | 5.1% | 7.4% |
Demographics Similar to Hmong and Immigrants by Poverty
In terms of poverty, the demographic groups most similar to Hmong are Immigrants from Uruguay (12.8%, a difference of 0.10%), Immigrants from Western Asia (12.9%, a difference of 0.16%), Immigrants from Uganda (12.8%, a difference of 0.26%), Spaniard (12.8%, a difference of 0.27%), and Immigrants from Kenya (12.8%, a difference of 0.42%). Similarly, the demographic groups most similar to Immigrants are Immigrants from Panama (13.3%, a difference of 0.13%), Bermudan (13.3%, a difference of 0.39%), Moroccan (13.2%, a difference of 0.45%), Japanese (13.3%, a difference of 0.65%), and Nonimmigrants (13.3%, a difference of 0.65%).
| Demographics | Rating | Rank | Poverty |
| Immigrants | Lebanon | 18.7 /100 | #197 | Poor 12.8% |
| Spanish | 18.7 /100 | #198 | Poor 12.8% |
| Immigrants | Kenya | 17.5 /100 | #199 | Poor 12.8% |
| Spaniards | 16.5 /100 | #200 | Poor 12.8% |
| Immigrants | Uganda | 16.5 /100 | #201 | Poor 12.8% |
| Immigrants | Uruguay | 15.6 /100 | #202 | Poor 12.8% |
| 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% |