Hmong vs Japanese Poverty
COMPARE
Hmong
Japanese
Poverty
Poverty Comparison
Hmong
Japanese
12.8%
POVERTY
15.0/ 100
METRIC RATING
203rd/ 347
METRIC RANK
13.3%
POVERTY
3.3/ 100
METRIC RATING
215th/ 347
METRIC RANK
Hmong vs Japanese 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 249,091,915 people shows a substantial positive correlation between the proportion of Japanese and poverty level in the United States with a correlation coefficient (R) of 0.597 and weighted average of 13.3%, a difference of 3.8%.
Poverty Correlation Summary
Measurement | Hmong | Japanese |
Minimum | 3.3% | 3.1% |
Maximum | 28.0% | 100.0% |
Range | 24.7% | 96.9% |
Mean | 13.1% | 18.8% |
Median | 12.5% | 14.9% |
Interquartile 25% (IQ1) | 9.6% | 12.5% |
Interquartile 75% (IQ3) | 16.8% | 21.4% |
Interquartile Range (IQR) | 7.2% | 8.9% |
Standard Deviation (Sample) | 5.1% | 14.9% |
Standard Deviation (Population) | 5.1% | 14.8% |
Demographics Similar to Hmong and Japanese 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 Japanese are Nonimmigrants (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%).
Demographics | Rating | Rank | Poverty |
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% |
Immigrants | Thailand | 3.1 /100 | #218 | Tragic 13.3% |
Immigrants | Cambodia | 3.0 /100 | #219 | Tragic 13.4% |