Immigrants from Ghana vs Immigrants from Eastern Asia Female Unemployment
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Immigrants from Ghana
Immigrants from Eastern Asia
Female Unemployment
Female Unemployment Comparison
Immigrants from Ghana
Immigrants from Eastern Asia
6.0%
FEMALE UNEMPLOYMENT
0.0/ 100
METRIC RATING
277th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.0/ 100
METRIC RATING
139th/ 347
METRIC RANK
Immigrants from Ghana vs Immigrants from Eastern Asia Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 199,631,349 people shows no correlation between the proportion of Immigrants from Ghana and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.026 and weighted average of 6.0%. 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 17.0%.
Female Unemployment Correlation Summary
| Measurement | Immigrants from Ghana | Immigrants from Eastern Asia |
| Minimum | 0.50% | 1.9% |
| Maximum | 14.9% | 8.0% |
| Range | 14.4% | 6.1% |
| Mean | 6.2% | 5.1% |
| Median | 5.7% | 5.0% |
| Interquartile 25% (IQ1) | 4.9% | 4.6% |
| Interquartile 75% (IQ3) | 7.1% | 5.5% |
| Interquartile Range (IQR) | 2.2% | 0.85% |
| Standard Deviation (Sample) | 2.6% | 0.97% |
| Standard Deviation (Population) | 2.6% | 0.96% |
Similar Demographics by Female Unemployment
Demographics Similar to Immigrants from Ghana by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Ghana are Yaqui (6.0%, a difference of 0.0%), Armenian (6.0%, a difference of 0.12%), Mexican American Indian (6.0%, a difference of 0.17%), Guatemalan (6.0%, a difference of 0.21%), and Bahamian (6.0%, a difference of 0.40%).
| Demographics | Rating | Rank | Female Unemployment |
| Immigrants | Honduras | 0.0 /100 | #270 | Tragic 5.9% |
| Central Americans | 0.0 /100 | #271 | Tragic 5.9% |
| Lumbee | 0.0 /100 | #272 | Tragic 5.9% |
| Ghanaians | 0.0 /100 | #273 | Tragic 5.9% |
| Africans | 0.0 /100 | #274 | Tragic 5.9% |
| Senegalese | 0.0 /100 | #275 | Tragic 6.0% |
| Bahamians | 0.0 /100 | #276 | Tragic 6.0% |
| Immigrants | Ghana | 0.0 /100 | #277 | Tragic 6.0% |
| Yaqui | 0.0 /100 | #278 | Tragic 6.0% |
| Armenians | 0.0 /100 | #279 | Tragic 6.0% |
| Mexican American Indians | 0.0 /100 | #280 | Tragic 6.0% |
| Guatemalans | 0.0 /100 | #281 | Tragic 6.0% |
| Colville | 0.0 /100 | #282 | Tragic 6.0% |
| Salvadorans | 0.0 /100 | #283 | Tragic 6.0% |
| Immigrants | Senegal | 0.0 /100 | #284 | 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% |