Immigrants from Hungary vs Immigrants from Malaysia Wage/Income Gap
COMPARE
Immigrants from Hungary
Immigrants from Malaysia
Wage/Income Gap
Wage/Income Gap Comparison
Immigrants from Hungary
Immigrants from Malaysia
27.0%
WAGE/INCOME GAP
4.8/ 100
METRIC RATING
235th/ 347
METRIC RANK
26.3%
WAGE/INCOME GAP
22.2/ 100
METRIC RATING
195th/ 347
METRIC RANK
Immigrants from Hungary vs Immigrants from Malaysia Wage/Income Gap Correlation Chart
The statistical analysis conducted on geographies consisting of 195,626,970 people shows a weak negative correlation between the proportion of Immigrants from Hungary and wage/income gap percentage in the United States with a correlation coefficient (R) of -0.290 and weighted average of 27.0%. Similarly, the statistical analysis conducted on geographies consisting of 197,939,281 people shows a weak positive correlation between the proportion of Immigrants from Malaysia and wage/income gap percentage in the United States with a correlation coefficient (R) of 0.207 and weighted average of 26.3%, a difference of 2.8%.
Wage/Income Gap Correlation Summary
| Measurement | Immigrants from Hungary | Immigrants from Malaysia |
| Minimum | 4.4% | 3.1% |
| Maximum | 59.1% | 68.0% |
| Range | 54.6% | 64.9% |
| Mean | 29.2% | 27.5% |
| Median | 27.6% | 26.6% |
| Interquartile 25% (IQ1) | 18.1% | 21.5% |
| Interquartile 75% (IQ3) | 37.2% | 32.4% |
| Interquartile Range (IQR) | 19.1% | 10.9% |
| Standard Deviation (Sample) | 14.7% | 12.3% |
| Standard Deviation (Population) | 14.4% | 12.2% |
Similar Demographics by Wage/Income Gap
Demographics Similar to Immigrants from Hungary by Wage/Income Gap
In terms of wage/income gap, the demographic groups most similar to Immigrants from Hungary are Immigrants from Pakistan (27.0%, a difference of 0.010%), Immigrants from Romania (27.0%, a difference of 0.020%), Immigrants from Brazil (27.0%, a difference of 0.060%), Argentinean (27.0%, a difference of 0.12%), and Bhutanese (27.0%, a difference of 0.15%).
| Demographics | Rating | Rank | Wage/Income Gap |
| Immigrants | Turkey | 5.6 /100 | #228 | Tragic 27.0% |
| Immigrants | Asia | 5.5 /100 | #229 | Tragic 27.0% |
| Ottawa | 5.3 /100 | #230 | Tragic 27.0% |
| Bhutanese | 5.3 /100 | #231 | Tragic 27.0% |
| Argentineans | 5.2 /100 | #232 | Tragic 27.0% |
| Immigrants | Brazil | 5.0 /100 | #233 | Tragic 27.0% |
| Immigrants | Pakistan | 4.9 /100 | #234 | Tragic 27.0% |
| Immigrants | Hungary | 4.8 /100 | #235 | Tragic 27.0% |
| Immigrants | Romania | 4.8 /100 | #236 | Tragic 27.0% |
| Immigrants | Eastern Asia | 4.4 /100 | #237 | Tragic 27.1% |
| Osage | 4.4 /100 | #238 | Tragic 27.1% |
| Estonians | 4.3 /100 | #239 | Tragic 27.1% |
| Immigrants | Europe | 3.8 /100 | #240 | Tragic 27.1% |
| Creek | 3.8 /100 | #241 | Tragic 27.1% |
| Immigrants | Sri Lanka | 3.7 /100 | #242 | Tragic 27.1% |
Demographics Similar to Immigrants from Malaysia by Wage/Income Gap
In terms of wage/income gap, the demographic groups most similar to Immigrants from Malaysia are Chilean (26.3%, a difference of 0.010%), Immigrants from Jordan (26.3%, a difference of 0.020%), Immigrants from Bulgaria (26.3%, a difference of 0.030%), Immigrants from Western Asia (26.3%, a difference of 0.050%), and Zimbabwean (26.3%, a difference of 0.060%).
| Demographics | Rating | Rank | Wage/Income Gap |
| Immigrants | Egypt | 29.9 /100 | #188 | Fair 26.1% |
| Immigrants | Moldova | 26.6 /100 | #189 | Fair 26.2% |
| Immigrants | Croatia | 24.8 /100 | #190 | Fair 26.2% |
| Immigrants | Venezuela | 24.7 /100 | #191 | Fair 26.2% |
| Immigrants | Bulgaria | 22.5 /100 | #192 | Fair 26.3% |
| Immigrants | Jordan | 22.4 /100 | #193 | Fair 26.3% |
| Chileans | 22.3 /100 | #194 | Fair 26.3% |
| Immigrants | Malaysia | 22.2 /100 | #195 | Fair 26.3% |
| Immigrants | Western Asia | 21.7 /100 | #196 | Fair 26.3% |
| Zimbabweans | 21.6 /100 | #197 | Fair 26.3% |
| Venezuelans | 21.5 /100 | #198 | Fair 26.3% |
| Dutch West Indians | 21.0 /100 | #199 | Fair 26.3% |
| Delaware | 20.9 /100 | #200 | Fair 26.3% |
| Immigrants | Syria | 19.3 /100 | #201 | Poor 26.4% |
| Laotians | 19.2 /100 | #202 | Poor 26.4% |