Mexican vs Immigrants from Eastern Asia Female Unemployment
COMPARE
Mexican
Immigrants from Eastern Asia
Female Unemployment
Female Unemployment Comparison
Mexicans
Immigrants from Eastern Asia
6.1%
FEMALE UNEMPLOYMENT
0.0/ 100
METRIC RATING
293rd/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.0/ 100
METRIC RATING
139th/ 347
METRIC RANK
Mexican vs Immigrants from Eastern Asia Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 553,339,596 people shows a significant positive correlation between the proportion of Mexicans and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.633 and weighted average of 6.1%. Similarly, the statistical analysis conducted on geographies consisting of 495,373,600 people shows no correlation between the proportion of Immigrants from Eastern Asia and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.030 and weighted average of 5.1%, a difference of 19.0%.

Female Unemployment Correlation Summary
Measurement | Mexican | Immigrants from Eastern Asia |
Minimum | 3.4% | 1.9% |
Maximum | 14.5% | 8.0% |
Range | 11.0% | 6.1% |
Mean | 6.6% | 5.1% |
Median | 6.3% | 5.0% |
Interquartile 25% (IQ1) | 5.4% | 4.6% |
Interquartile 75% (IQ3) | 7.3% | 5.5% |
Interquartile Range (IQR) | 1.9% | 0.85% |
Standard Deviation (Sample) | 1.8% | 0.97% |
Standard Deviation (Population) | 1.8% | 0.96% |
Similar Demographics by Female Unemployment
Demographics Similar to Mexicans by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Mexicans are Immigrants from Trinidad and Tobago (6.1%, a difference of 0.080%), Immigrants from El Salvador (6.1%, a difference of 0.10%), Immigrants from West Indies (6.1%, a difference of 0.15%), Immigrants from Latin America (6.1%, a difference of 0.20%), and Alaskan Athabascan (6.1%, a difference of 0.22%).
Demographics | Rating | Rank | Female Unemployment |
Chippewa | 0.0 /100 | #286 | Tragic 6.1% |
Immigrants | Guatemala | 0.0 /100 | #287 | Tragic 6.1% |
Haitians | 0.0 /100 | #288 | Tragic 6.1% |
Trinidadians and Tobagonians | 0.0 /100 | #289 | Tragic 6.1% |
Immigrants | Caribbean | 0.0 /100 | #290 | Tragic 6.1% |
Immigrants | West Indies | 0.0 /100 | #291 | Tragic 6.1% |
Immigrants | Trinidad and Tobago | 0.0 /100 | #292 | Tragic 6.1% |
Mexicans | 0.0 /100 | #293 | Tragic 6.1% |
Immigrants | El Salvador | 0.0 /100 | #294 | Tragic 6.1% |
Immigrants | Latin America | 0.0 /100 | #295 | Tragic 6.1% |
Alaskan Athabascans | 0.0 /100 | #296 | Tragic 6.1% |
West Indians | 0.0 /100 | #297 | Tragic 6.1% |
Jamaicans | 0.0 /100 | #298 | Tragic 6.1% |
Ute | 0.0 /100 | #299 | Tragic 6.1% |
Immigrants | Haiti | 0.0 /100 | #300 | Tragic 6.1% |
Demographics Similar to Immigrants from Eastern Asia by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Eastern Asia are Chickasaw (5.1%, a difference of 0.020%), Immigrants from France (5.1%, a difference of 0.040%), Pakistani (5.1%, a difference of 0.080%), Indian (Asian) (5.1%, a difference of 0.13%), and Immigrants from Eastern Europe (5.1%, a difference of 0.16%).
Demographics | Rating | Rank | Female Unemployment |
Immigrants | Sri Lanka | 85.0 /100 | #132 | Excellent 5.1% |
Immigrants | Hong Kong | 84.8 /100 | #133 | Excellent 5.1% |
Immigrants | Eritrea | 84.6 /100 | #134 | Excellent 5.1% |
Immigrants | Latvia | 84.6 /100 | #135 | Excellent 5.1% |
Indians (Asian) | 84.2 /100 | #136 | Excellent 5.1% |
Pakistanis | 83.8 /100 | #137 | Excellent 5.1% |
Chickasaw | 83.2 /100 | #138 | Excellent 5.1% |
Immigrants | Eastern Asia | 83.0 /100 | #139 | Excellent 5.1% |
Immigrants | France | 82.7 /100 | #140 | Excellent 5.1% |
Immigrants | Eastern Europe | 81.5 /100 | #141 | Excellent 5.1% |
Palestinians | 80.8 /100 | #142 | Excellent 5.1% |
Immigrants | Kazakhstan | 80.7 /100 | #143 | Excellent 5.1% |
Immigrants | Jordan | 80.4 /100 | #144 | Excellent 5.1% |
Immigrants | Oceania | 79.5 /100 | #145 | Good 5.2% |
Immigrants | Norway | 79.4 /100 | #146 | Good 5.2% |