Immigrants from Latvia vs Immigrants from Northern Africa Female Unemployment
COMPARE
Immigrants from Latvia
Immigrants from Northern Africa
Female Unemployment
Female Unemployment Comparison
Immigrants from Latvia
Immigrants from Northern Africa
5.1%
FEMALE UNEMPLOYMENT
84.6/ 100
METRIC RATING
135th/ 347
METRIC RANK
5.2%
FEMALE UNEMPLOYMENT
69.6/ 100
METRIC RATING
156th/ 347
METRIC RANK
Immigrants from Latvia vs Immigrants from Northern Africa Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 113,613,116 people shows a poor positive correlation between the proportion of Immigrants from Latvia and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.118 and weighted average of 5.1%. Similarly, the statistical analysis conducted on geographies consisting of 320,534,342 people shows no correlation between the proportion of Immigrants from Northern Africa and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.023 and weighted average of 5.2%, a difference of 1.3%.
Female Unemployment Correlation Summary
Measurement | Immigrants from Latvia | Immigrants from Northern Africa |
Minimum | 0.70% | 0.96% |
Maximum | 17.4% | 11.7% |
Range | 16.7% | 10.7% |
Mean | 5.8% | 5.3% |
Median | 5.3% | 5.1% |
Interquartile 25% (IQ1) | 3.9% | 3.9% |
Interquartile 75% (IQ3) | 6.8% | 6.3% |
Interquartile Range (IQR) | 2.9% | 2.4% |
Standard Deviation (Sample) | 3.1% | 2.3% |
Standard Deviation (Population) | 3.1% | 2.3% |
Similar Demographics by Female Unemployment
Demographics Similar to Immigrants from Latvia by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Latvia are Immigrants from Eritrea (5.1%, a difference of 0.0%), Immigrants from Hong Kong (5.1%, a difference of 0.030%), Immigrants from Sri Lanka (5.1%, a difference of 0.050%), Indian (Asian) (5.1%, a difference of 0.050%), and Pakistani (5.1%, a difference of 0.090%).
Demographics | Rating | Rank | Female Unemployment |
Chileans | 85.8 /100 | #128 | Excellent 5.1% |
Ethiopians | 85.7 /100 | #129 | Excellent 5.1% |
Maltese | 85.5 /100 | #130 | Excellent 5.1% |
Immigrants | Ethiopia | 85.4 /100 | #131 | Excellent 5.1% |
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% |
Demographics Similar to Immigrants from Northern Africa by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Northern Africa are Immigrants from Russia (5.2%, a difference of 0.020%), Immigrants from Egypt (5.2%, a difference of 0.030%), South African (5.2%, a difference of 0.080%), Albanian (5.2%, a difference of 0.10%), and Immigrants from Micronesia (5.2%, a difference of 0.19%).
Demographics | Rating | Rank | Female Unemployment |
Asians | 78.3 /100 | #149 | Good 5.2% |
Egyptians | 78.3 /100 | #150 | Good 5.2% |
Immigrants | China | 75.9 /100 | #151 | Good 5.2% |
Immigrants | Italy | 75.0 /100 | #152 | Good 5.2% |
Immigrants | Greece | 74.9 /100 | #153 | Good 5.2% |
South Africans | 70.8 /100 | #154 | Good 5.2% |
Immigrants | Egypt | 70.0 /100 | #155 | Good 5.2% |
Immigrants | Northern Africa | 69.6 /100 | #156 | Good 5.2% |
Immigrants | Russia | 69.3 /100 | #157 | Good 5.2% |
Albanians | 68.3 /100 | #158 | Good 5.2% |
Immigrants | Micronesia | 66.9 /100 | #159 | Good 5.2% |
Immigrants | Spain | 66.8 /100 | #160 | Good 5.2% |
Immigrants | Pakistan | 66.7 /100 | #161 | Good 5.2% |
Potawatomi | 65.9 /100 | #162 | Good 5.2% |
Immigrants | Asia | 64.3 /100 | #163 | Good 5.2% |