Norwegian vs Chinese Poverty
COMPARE
Norwegian
Chinese
Poverty
Poverty Comparison
Norwegians
Chinese
10.5%
POVERTY
99.8/ 100
METRIC RATING
17th/ 347
METRIC RANK
9.5%
POVERTY
100.0/ 100
METRIC RATING
2nd/ 347
METRIC RANK
Norwegian vs Chinese Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 532,786,336 people shows a poor positive correlation between the proportion of Norwegians and poverty level in the United States with a correlation coefficient (R) of 0.117 and weighted average of 10.5%. Similarly, the statistical analysis conducted on geographies consisting of 64,802,428 people shows a poor positive correlation between the proportion of Chinese and poverty level in the United States with a correlation coefficient (R) of 0.156 and weighted average of 9.5%, a difference of 10.1%.
Poverty Correlation Summary
| Measurement | Norwegian | Chinese |
| Minimum | 0.40% | 3.4% |
| Maximum | 41.5% | 26.1% |
| Range | 41.1% | 22.7% |
| Mean | 10.4% | 10.2% |
| Median | 9.8% | 9.6% |
| Interquartile 25% (IQ1) | 8.1% | 5.6% |
| Interquartile 75% (IQ3) | 11.2% | 11.6% |
| Interquartile Range (IQR) | 3.0% | 5.9% |
| Standard Deviation (Sample) | 5.0% | 5.6% |
| Standard Deviation (Population) | 5.0% | 5.5% |
Demographics Similar to Norwegians and Chinese by Poverty
In terms of poverty, the demographic groups most similar to Norwegians are Latvian (10.5%, a difference of 0.10%), Lithuanian (10.5%, a difference of 0.37%), Immigrants from Scotland (10.6%, a difference of 0.49%), Immigrants from North Macedonia (10.6%, a difference of 0.60%), and Bolivian (10.4%, a difference of 0.67%). Similarly, the demographic groups most similar to Chinese are Thai (9.6%, a difference of 0.45%), Immigrants from Taiwan (9.7%, a difference of 1.9%), Immigrants from Ireland (10.1%, a difference of 5.6%), Immigrants from India (9.0%, a difference of 5.6%), and Assyrian/Chaldean/Syriac (10.1%, a difference of 5.8%).
| Demographics | Rating | Rank | Poverty |
| Immigrants | India | 100.0 /100 | #1 | Exceptional 9.0% |
| Chinese | 100.0 /100 | #2 | Exceptional 9.5% |
| Thais | 100.0 /100 | #3 | Exceptional 9.6% |
| Immigrants | Taiwan | 100.0 /100 | #4 | Exceptional 9.7% |
| Immigrants | Ireland | 99.9 /100 | #5 | Exceptional 10.1% |
| Assyrians/Chaldeans/Syriacs | 99.9 /100 | #6 | Exceptional 10.1% |
| Filipinos | 99.9 /100 | #7 | Exceptional 10.1% |
| Maltese | 99.9 /100 | #8 | Exceptional 10.2% |
| Immigrants | South Central Asia | 99.9 /100 | #9 | Exceptional 10.2% |
| Bulgarians | 99.9 /100 | #10 | Exceptional 10.2% |
| Immigrants | Lithuania | 99.9 /100 | #11 | Exceptional 10.3% |
| Bhutanese | 99.8 /100 | #12 | Exceptional 10.4% |
| Immigrants | Hong Kong | 99.8 /100 | #13 | Exceptional 10.4% |
| Immigrants | Bolivia | 99.8 /100 | #14 | Exceptional 10.4% |
| Bolivians | 99.8 /100 | #15 | Exceptional 10.4% |
| Lithuanians | 99.8 /100 | #16 | Exceptional 10.5% |
| Norwegians | 99.8 /100 | #17 | Exceptional 10.5% |
| Latvians | 99.8 /100 | #18 | Exceptional 10.5% |
| Immigrants | Scotland | 99.7 /100 | #19 | Exceptional 10.6% |
| Immigrants | North Macedonia | 99.7 /100 | #20 | Exceptional 10.6% |