Argentinean Wage/Income Gap
COMPARE
Argentinean
Select to Compare
Wage/Income Gap
Argentinean Wage/Income Gap
27.0%
WAGE/INCOME GAP
5.2/ 100
METRIC RATING
232nd/ 347
METRIC RANK
Argentinean Wage/Income Gap Correlation Chart
The statistical analysis conducted on geographies consisting of 297,053,015 people shows a mild positive correlation between the proportion of Argentineans and wage/income gap percentage in the United States with a correlation coefficient (R) of 0.309 and weighted average of 27.0%. On average, for every 1% (one percent) increase in Argentineans within a typical geography, there is an increase of 1.5% in wage/income gap percentage.
It is essential to understand that the correlation between the percentage of Argentineans and wage/income gap percentage does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Argentineans influences an upward or downward trend in the level of wage/income gap percentage within an area, or if Argentineans simply ended up residing in those areas with higher or lower levels of wage/income gap percentage due to other factors.
Demographics Similar to Argentineans by Wage/Income Gap
In terms of wage/income gap, the demographic groups most similar to Argentineans are Bhutanese (27.0%, a difference of 0.020%), Ottawa (27.0%, a difference of 0.050%), Immigrants from Brazil (27.0%, a difference of 0.060%), Immigrants from Asia (27.0%, a difference of 0.10%), and Immigrants from Pakistan (27.0%, a difference of 0.11%).
| Demographics | Rating | Rank | Wage/Income Gap |
| Immigrants from Ireland | 6.5 /100 | #225 | Tragic 26.9% |
| Asians | 5.9 /100 | #226 | Tragic 26.9% |
| Spaniards | 5.6 /100 | #227 | Tragic 27.0% |
| Immigrants from Turkey | 5.6 /100 | #228 | Tragic 27.0% |
| Immigrants from 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 from Brazil | 5.0 /100 | #233 | Tragic 27.0% |
| Immigrants from Pakistan | 4.9 /100 | #234 | Tragic 27.0% |
| Immigrants from Hungary | 4.8 /100 | #235 | Tragic 27.0% |
| Immigrants from Romania | 4.8 /100 | #236 | Tragic 27.0% |
| Immigrants from 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% |
Argentinean Wage/Income Gap Correlation Summary
| Measurement | Argentinean Data | Wage/Income Gap Data |
| Minimum | 0.045% | 0.074% |
| Maximum | 17.9% | 81.5% |
| Range | 17.9% | 81.4% |
| Mean | 4.1% | 32.9% |
| Median | 3.5% | 29.2% |
| Interquartile 25% (IQ1) | 1.6% | 24.0% |
| Interquartile 75% (IQ3) | 5.6% | 40.7% |
| Interquartile Range (IQR) | 4.0% | 16.8% |
| Standard Deviation (Sample) | 3.3% | 16.2% |
| Standard Deviation (Population) | 3.2% | 16.1% |
Correlation Details
| Argentinean Percentile | Sample Size | Wage/Income Gap |
[ 0.0% - 0.5% ] 0.045% | 139,477,420 | 25.2% |
[ 0.0% - 0.5% ] 0.13% | 65,111,045 | 25.6% |
[ 0.0% - 0.5% ] 0.22% | 40,731,143 | 23.5% |
[ 0.0% - 0.5% ] 0.31% | 16,519,093 | 26.8% |
[ 0.0% - 0.5% ] 0.40% | 10,004,125 | 26.0% |
[ 0.0% - 0.5% ] 0.50% | 6,282,876 | 28.0% |
[ 0.5% - 1.0% ] 0.58% | 4,138,100 | 29.2% |
[ 0.5% - 1.0% ] 0.67% | 3,038,781 | 29.6% |
[ 0.5% - 1.0% ] 0.75% | 2,585,352 | 28.3% |
[ 0.5% - 1.0% ] 0.85% | 1,339,935 | 25.4% |
[ 0.5% - 1.0% ] 0.93% | 1,056,705 | 27.3% |
[ 1.0% - 1.5% ] 1.03% | 971,224 | 27.8% |
[ 1.0% - 1.5% ] 1.11% | 677,441 | 33.5% |
[ 1.0% - 1.5% ] 1.20% | 987,531 | 27.6% |
[ 1.0% - 1.5% ] 1.29% | 551,803 | 28.3% |
[ 1.0% - 1.5% ] 1.40% | 871,218 | 27.2% |
[ 1.0% - 1.5% ] 1.48% | 265,301 | 30.1% |
[ 1.5% - 2.0% ] 1.56% | 212,667 | 26.0% |
[ 1.5% - 2.0% ] 1.64% | 178,750 | 22.4% |
[ 1.5% - 2.0% ] 1.76% | 241,358 | 23.5% |
[ 1.5% - 2.0% ] 1.81% | 154,011 | 31.6% |
[ 1.5% - 2.0% ] 1.93% | 135,496 | 40.4% |
[ 1.5% - 2.0% ] 2.00% | 201,906 | 29.2% |
[ 2.0% - 2.5% ] 2.12% | 88,250 | 28.7% |
[ 2.0% - 2.5% ] 2.19% | 101,823 | 39.7% |
[ 2.0% - 2.5% ] 2.29% | 61,001 | 24.0% |
[ 2.0% - 2.5% ] 2.39% | 32,424 | 45.7% |
[ 2.0% - 2.5% ] 2.46% | 95,716 | 22.3% |
[ 2.5% - 3.0% ] 2.55% | 30,528 | 27.3% |
[ 2.5% - 3.0% ] 2.65% | 76,127 | 16.5% |
[ 2.5% - 3.0% ] 2.75% | 59,884 | 5.3% |
[ 2.5% - 3.0% ] 2.84% | 47,970 | 29.7% |
[ 2.5% - 3.0% ] 2.92% | 15,184 | 8.2% |
[ 3.0% - 3.5% ] 3.09% | 93,687 | 9.9% |
[ 3.0% - 3.5% ] 3.16% | 16,322 | 5.7% |
[ 3.0% - 3.5% ] 3.25% | 1,661 | 47.0% |
[ 3.0% - 3.5% ] 3.38% | 73,005 | 45.1% |
[ 3.0% - 3.5% ] 3.46% | 73,622 | 28.3% |
[ 3.5% - 4.0% ] 3.62% | 57,196 | 39.2% |
[ 3.5% - 4.0% ] 3.70% | 10,989 | 39.6% |
[ 3.5% - 4.0% ] 3.80% | 6,651 | 20.0% |
[ 3.5% - 4.0% ] 3.95% | 12,081 | 40.7% |
[ 4.0% - 4.5% ] 4.04% | 1,360 | 19.3% |
[ 4.0% - 4.5% ] 4.15% | 289 | 8.9% |
[ 4.0% - 4.5% ] 4.26% | 24,163 | 36.9% |
[ 4.0% - 4.5% ] 4.32% | 19,563 | 41.7% |
[ 4.0% - 4.5% ] 4.46% | 13,255 | 56.2% |
[ 4.5% - 5.0% ] 4.51% | 6,225 | 35.0% |
[ 4.5% - 5.0% ] 4.63% | 23,734 | 65.5% |
[ 4.5% - 5.0% ] 4.68% | 33,282 | 47.5% |
[ 4.5% - 5.0% ] 4.76% | 1,994 | 42.2% |
[ 5.0% - 5.5% ] 5.07% | 2,683 | 64.4% |
[ 5.0% - 5.5% ] 5.24% | 98,850 | 28.6% |
[ 5.0% - 5.5% ] 5.33% | 7,792 | 19.7% |
[ 5.0% - 5.5% ] 5.43% | 11,638 | 37.1% |
[ 5.5% - 6.0% ] 5.51% | 7,388 | 51.2% |
[ 5.5% - 6.0% ] 5.63% | 1,686 | 48.4% |
[ 5.5% - 6.0% ] 5.95% | 605 | 7.7% |
[ 6.0% - 6.5% ] 6.06% | 1,237 | 59.9% |
[ 6.0% - 6.5% ] 6.18% | 6,590 | 53.3% |
[ 6.0% - 6.5% ] 6.24% | 593 | 0.074% |
[ 6.0% - 6.5% ] 6.29% | 19,785 | 39.5% |
[ 6.5% - 7.0% ] 6.54% | 35,967 | 31.1% |
[ 6.5% - 7.0% ] 6.85% | 3,589 | 22.7% |
[ 7.0% - 7.5% ] 7.15% | 5,290 | 61.6% |
[ 7.0% - 7.5% ] 7.33% | 887 | 81.5% |
[ 7.0% - 7.5% ] 7.44% | 121 | 20.0% |
[ 7.5% - 8.0% ] 7.94% | 3,098 | 34.0% |
[ 8.0% - 8.5% ] 8.17% | 1,041 | 58.2% |
[ 9.0% - 9.5% ] 9.02% | 2,461 | 40.4% |
[ 9.0% - 9.5% ] 9.47% | 285 | 0.24% |
[ 10.0% - 10.5% ] 10.36% | 560 | 29.5% |
[ 12.5% - 13.0% ] 12.57% | 14,639 | 62.2% |
[ 12.5% - 13.0% ] 12.63% | 14,572 | 62.5% |
[ 17.5% - 18.0% ] 17.90% | 391 | 31.7% |