Immigrants from Northern Africa Female Unemployment
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Immigrants from Northern Africa
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Female Unemployment
Immigrants from Northern Africa Female Unemployment
5.2%
UNEMPLOYMENT | FEMALES
69.6/ 100
METRIC RATING
156th/ 347
METRIC RANK
Immigrants from Northern Africa Female Unemployment Correlation Chart
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%. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is an increase of 0.019% in unemploymnet rate among females.
It is essential to understand that the correlation between the percentage of Immigrants from Northern Africa and unemploymnet rate among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Northern Africa influences an upward or downward trend in the level of unemploymnet rate among females within an area, or if Immigrants from Northern Africa simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.
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 from China | 75.9 /100 | #151 | Good 5.2% |
| Immigrants from Italy | 75.0 /100 | #152 | Good 5.2% |
| Immigrants from Greece | 74.9 /100 | #153 | Good 5.2% |
| South Africans | 70.8 /100 | #154 | Good 5.2% |
| Immigrants from Egypt | 70.0 /100 | #155 | Good 5.2% |
| Immigrants from Northern Africa | 69.6 /100 | #156 | Good 5.2% |
| Immigrants from Russia | 69.3 /100 | #157 | Good 5.2% |
| Albanians | 68.3 /100 | #158 | Good 5.2% |
| Immigrants from Micronesia | 66.9 /100 | #159 | Good 5.2% |
| Immigrants from Spain | 66.8 /100 | #160 | Good 5.2% |
| Immigrants from Pakistan | 66.7 /100 | #161 | Good 5.2% |
| Potawatomi | 65.9 /100 | #162 | Good 5.2% |
| Immigrants from Asia | 64.3 /100 | #163 | Good 5.2% |
Immigrants from Northern Africa Female Unemployment Correlation Summary
| Measurement | Immigrants from Northern Africa Data | Female Unemployment Data |
| Minimum | 0.085% | 0.96% |
| Maximum | 11.8% | 11.7% |
| Range | 11.7% | 10.7% |
| Mean | 3.9% | 5.3% |
| Median | 3.3% | 5.1% |
| Interquartile 25% (IQ1) | 1.6% | 3.9% |
| Interquartile 75% (IQ3) | 5.5% | 6.3% |
| Interquartile Range (IQR) | 3.9% | 2.4% |
| Standard Deviation (Sample) | 2.9% | 2.3% |
| Standard Deviation (Population) | 2.9% | 2.3% |
Correlation Details
| Immigrants from Northern Africa Percentile | Sample Size | Female Unemployment |
[ 0.0% - 0.5% ] 0.085% | 203,157,917 | 5.2% |
[ 0.0% - 0.5% ] 0.27% | 61,301,953 | 5.2% |
[ 0.0% - 0.5% ] 0.46% | 28,609,072 | 5.6% |
[ 0.5% - 1.0% ] 0.68% | 10,850,609 | 4.8% |
[ 0.5% - 1.0% ] 0.88% | 5,016,185 | 5.0% |
[ 1.0% - 1.5% ] 1.09% | 3,999,488 | 5.1% |
[ 1.0% - 1.5% ] 1.26% | 2,378,292 | 4.8% |
[ 1.0% - 1.5% ] 1.48% | 1,346,898 | 5.5% |
[ 1.5% - 2.0% ] 1.64% | 820,906 | 4.3% |
[ 1.5% - 2.0% ] 1.86% | 915,527 | 4.9% |
[ 2.0% - 2.5% ] 2.09% | 212,111 | 3.8% |
[ 2.0% - 2.5% ] 2.24% | 441,343 | 4.0% |
[ 2.0% - 2.5% ] 2.43% | 161,707 | 6.8% |
[ 2.5% - 3.0% ] 2.70% | 173,836 | 3.9% |
[ 2.5% - 3.0% ] 2.81% | 387,771 | 6.3% |
[ 3.0% - 3.5% ] 3.03% | 56,889 | 6.5% |
[ 3.0% - 3.5% ] 3.28% | 57,004 | 4.4% |
[ 3.0% - 3.5% ] 3.35% | 14,102 | 0.96% |
[ 3.5% - 4.0% ] 3.59% | 20,645 | 8.3% |
[ 3.5% - 4.0% ] 3.80% | 21,713 | 6.0% |
[ 4.0% - 4.5% ] 4.22% | 46,855 | 6.8% |
[ 4.0% - 4.5% ] 4.41% | 12,424 | 8.7% |
[ 4.5% - 5.0% ] 4.56% | 33,627 | 3.9% |
[ 4.5% - 5.0% ] 4.96% | 46,339 | 2.6% |
[ 5.0% - 5.5% ] 5.24% | 223,532 | 5.4% |
[ 5.0% - 5.5% ] 5.41% | 3,162 | 9.1% |
[ 5.5% - 6.0% ] 5.53% | 51,695 | 11.7% |
[ 5.5% - 6.0% ] 5.80% | 2,778 | 1.5% |
[ 6.0% - 6.5% ] 6.24% | 7,017 | 2.1% |
[ 6.0% - 6.5% ] 6.32% | 140,994 | 5.9% |
[ 6.5% - 7.0% ] 6.58% | 5,000 | 5.7% |
[ 7.5% - 8.0% ] 7.90% | 6,938 | 3.9% |
[ 10.0% - 10.5% ] 10.02% | 5,751 | 4.0% |
[ 10.0% - 10.5% ] 10.12% | 1,206 | 10.2% |
[ 11.5% - 12.0% ] 11.78% | 3,056 | 2.1% |