Immigrants from Belarus vs Immigrants from Eastern Asia Female Unemployment
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Immigrants from Belarus
Immigrants from Eastern Asia
Female Unemployment
Female Unemployment Comparison
Immigrants from Belarus
Immigrants from Eastern Asia
5.3%
FEMALE UNEMPLOYMENT
39.4/ 100
METRIC RATING
186th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.0/ 100
METRIC RATING
139th/ 347
METRIC RANK
Immigrants from Belarus vs Immigrants from Eastern Asia Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 150,026,552 people shows no correlation between the proportion of Immigrants from Belarus and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.028 and weighted average of 5.3%. 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 3.1%.
Female Unemployment Correlation Summary
Measurement | Immigrants from Belarus | Immigrants from Eastern Asia |
Minimum | 1.0% | 1.9% |
Maximum | 13.1% | 8.0% |
Range | 12.1% | 6.1% |
Mean | 5.4% | 5.1% |
Median | 5.0% | 5.0% |
Interquartile 25% (IQ1) | 4.2% | 4.6% |
Interquartile 75% (IQ3) | 6.0% | 5.5% |
Interquartile Range (IQR) | 1.9% | 0.85% |
Standard Deviation (Sample) | 2.4% | 0.97% |
Standard Deviation (Population) | 2.4% | 0.96% |
Similar Demographics by Female Unemployment
Demographics Similar to Immigrants from Belarus by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Belarus are Malaysian (5.3%, a difference of 0.040%), Immigrants from Ukraine (5.3%, a difference of 0.050%), Immigrants from Indonesia (5.3%, a difference of 0.080%), Taiwanese (5.3%, a difference of 0.20%), and Nonimmigrants (5.3%, a difference of 0.20%).
Demographics | Rating | Rank | Female Unemployment |
Laotians | 45.1 /100 | #179 | Average 5.3% |
Immigrants | Congo | 43.1 /100 | #180 | Average 5.3% |
Taiwanese | 42.7 /100 | #181 | Average 5.3% |
Immigrants | Nonimmigrants | 42.6 /100 | #182 | Average 5.3% |
Immigrants | Indonesia | 40.7 /100 | #183 | Average 5.3% |
Immigrants | Ukraine | 40.1 /100 | #184 | Average 5.3% |
Malaysians | 40.1 /100 | #185 | Average 5.3% |
Immigrants | Belarus | 39.4 /100 | #186 | Fair 5.3% |
Immigrants | Albania | 35.4 /100 | #187 | Fair 5.3% |
Afghans | 33.9 /100 | #188 | Fair 5.3% |
Costa Ricans | 33.8 /100 | #189 | Fair 5.3% |
Ugandans | 31.2 /100 | #190 | Fair 5.3% |
Cherokee | 30.8 /100 | #191 | Fair 5.3% |
Portuguese | 28.6 /100 | #192 | Fair 5.3% |
Arabs | 27.7 /100 | #193 | Fair 5.3% |
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% |