Immigrants from Northern Africa In Labor Force | Age 30-34
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Immigrants from Northern Africa
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In Labor Force | Age 30-34
Immigrants from Northern Africa In Labor Force | Age 30-34
85.2%
IN LABOR FORCE | AGE 30-34
96.3/ 100
METRIC RATING
107th/ 347
METRIC RANK
Immigrants from Northern Africa In Labor Force | Age 30-34 Correlation Chart
The statistical analysis conducted on geographies consisting of 321,096,130 people shows a poor positive correlation between the proportion of Immigrants from Northern Africa and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.108 and weighted average of 85.2%. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is an increase of 0.24% in labor force participation rate among population between the ages 30 and 34.
It is essential to understand that the correlation between the percentage of Immigrants from Northern Africa and labor force participation rate among population between the ages 30 and 34 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 labor force participation rate among population between the ages 30 and 34 within an area, or if Immigrants from Northern Africa simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 30 and 34 due to other factors.
Demographics Similar to Immigrants from Northern Africa by In Labor Force | Age 30-34
In terms of in labor force | age 30-34, the demographic groups most similar to Immigrants from Northern Africa are Alsatian (85.2%, a difference of 0.0%), Immigrants from Middle Africa (85.2%, a difference of 0.0%), Ukrainian (85.2%, a difference of 0.010%), Immigrants from Ghana (85.2%, a difference of 0.010%), and Immigrants from Zimbabwe (85.1%, a difference of 0.020%).
Demographics | Rating | Rank | In Labor Force | Age 30-34 |
Sudanese | 97.1 /100 | #100 | Exceptional 85.2% |
Immigrants from Belarus | 96.9 /100 | #101 | Exceptional 85.2% |
Immigrants from Austria | 96.8 /100 | #102 | Exceptional 85.2% |
Ukrainians | 96.6 /100 | #103 | Exceptional 85.2% |
Immigrants from Ghana | 96.5 /100 | #104 | Exceptional 85.2% |
Alsatians | 96.3 /100 | #105 | Exceptional 85.2% |
Immigrants from Middle Africa | 96.3 /100 | #106 | Exceptional 85.2% |
Immigrants from Northern Africa | 96.3 /100 | #107 | Exceptional 85.2% |
Immigrants from Zimbabwe | 95.8 /100 | #108 | Exceptional 85.1% |
Argentineans | 95.8 /100 | #109 | Exceptional 85.1% |
Immigrants from South Africa | 95.3 /100 | #110 | Exceptional 85.1% |
Immigrants from Scotland | 94.9 /100 | #111 | Exceptional 85.1% |
Immigrants from Hungary | 94.8 /100 | #112 | Exceptional 85.1% |
Immigrants from Romania | 94.7 /100 | #113 | Exceptional 85.1% |
Yugoslavians | 94.7 /100 | #114 | Exceptional 85.1% |
Immigrants from Northern Africa In Labor Force | Age 30-34 Correlation Summary
Measurement | Immigrants from Northern Africa Data | In Labor Force | Age 30-34 Data |
Minimum | 0.085% | 50.1% |
Maximum | 20.1% | 100.0% |
Range | 20.0% | 49.9% |
Mean | 5.4% | 84.3% |
Median | 4.2% | 85.3% |
Interquartile 25% (IQ1) | 2.0% | 82.4% |
Interquartile 75% (IQ3) | 6.7% | 88.0% |
Interquartile Range (IQR) | 4.7% | 5.5% |
Standard Deviation (Sample) | 4.8% | 10.9% |
Standard Deviation (Population) | 4.7% | 10.8% |
Correlation Details
Immigrants from Northern Africa Percentile | Sample Size | In Labor Force | Age 30-34 |
[ 0.0% - 0.5% ] 0.085% | 203,348,847 | 84.5% |
[ 0.0% - 0.5% ] 0.27% | 61,387,840 | 85.5% |
[ 0.0% - 0.5% ] 0.46% | 28,711,458 | 85.1% |
[ 0.5% - 1.0% ] 0.68% | 10,885,019 | 85.5% |
[ 0.5% - 1.0% ] 0.88% | 5,059,123 | 84.5% |
[ 1.0% - 1.5% ] 1.09% | 4,024,701 | 84.7% |
[ 1.0% - 1.5% ] 1.26% | 2,404,230 | 86.4% |
[ 1.0% - 1.5% ] 1.48% | 1,354,069 | 85.2% |
[ 1.5% - 2.0% ] 1.64% | 830,018 | 86.7% |
[ 1.5% - 2.0% ] 1.86% | 919,315 | 87.0% |
[ 2.0% - 2.5% ] 2.09% | 218,920 | 84.6% |
[ 2.0% - 2.5% ] 2.24% | 441,663 | 86.1% |
[ 2.0% - 2.5% ] 2.43% | 163,643 | 85.8% |
[ 2.5% - 3.0% ] 2.70% | 185,900 | 86.7% |
[ 2.5% - 3.0% ] 2.81% | 388,518 | 87.1% |
[ 3.0% - 3.5% ] 3.04% | 58,267 | 85.2% |
[ 3.0% - 3.5% ] 3.27% | 58,808 | 85.3% |
[ 3.0% - 3.5% ] 3.35% | 14,102 | 95.8% |
[ 3.5% - 4.0% ] 3.58% | 24,995 | 67.6% |
[ 3.5% - 4.0% ] 3.80% | 21,713 | 85.6% |
[ 4.0% - 4.5% ] 4.23% | 49,142 | 89.4% |
[ 4.0% - 4.5% ] 4.41% | 12,424 | 50.1% |
[ 4.5% - 5.0% ] 4.56% | 33,627 | 82.3% |
[ 4.5% - 5.0% ] 4.96% | 46,887 | 93.3% |
[ 5.0% - 5.5% ] 5.24% | 223,532 | 84.0% |
[ 5.0% - 5.5% ] 5.41% | 3,162 | 100.0% |
[ 5.5% - 6.0% ] 5.53% | 51,695 | 82.3% |
[ 5.5% - 6.0% ] 5.80% | 3,313 | 81.5% |
[ 6.0% - 6.5% ] 6.22% | 8,815 | 100.0% |
[ 6.0% - 6.5% ] 6.32% | 140,994 | 82.5% |
[ 6.5% - 7.0% ] 6.58% | 5,000 | 100.0% |
[ 6.5% - 7.0% ] 6.82% | 1,363 | 67.9% |
[ 6.5% - 7.0% ] 6.99% | 143 | 72.7% |
[ 8.5% - 9.0% ] 8.81% | 1,339 | 53.7% |
[ 10.0% - 10.5% ] 10.02% | 5,751 | 77.8% |
[ 10.0% - 10.5% ] 10.12% | 1,206 | 67.3% |
[ 11.5% - 12.0% ] 11.78% | 3,056 | 84.3% |
[ 13.0% - 13.5% ] 13.49% | 1,394 | 92.7% |
[ 14.0% - 14.5% ] 14.46% | 332 | 100.0% |
[ 19.0% - 19.5% ] 19.16% | 981 | 88.8% |
[ 20.0% - 20.5% ] 20.12% | 825 | 100.0% |