Moroccan In Labor Force | Age 20-64
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In Labor Force | Age 20-64
Moroccan In Labor Force | Age 20-64
79.7%
IN LABOR FORCE | AGE 20-64
66.7/ 100
METRIC RATING
160th/ 347
METRIC RANK
Moroccan In Labor Force | Age 20-64 Correlation Chart
The statistical analysis conducted on geographies consisting of 201,807,372 people shows a moderate negative correlation between the proportion of Moroccans and labor force participation rate among population between the ages 20 and 64 in the United States with a correlation coefficient (R) of -0.420 and weighted average of 79.7%. On average, for every 1% (one percent) increase in Moroccans within a typical geography, there is a decrease of 0.80% in labor force participation rate among population between the ages 20 and 64.

It is essential to understand that the correlation between the percentage of Moroccans and labor force participation rate among population between the ages 20 and 64 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Moroccans influences an upward or downward trend in the level of labor force participation rate among population between the ages 20 and 64 within an area, or if Moroccans simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 20 and 64 due to other factors.
Demographics Similar to Moroccans by In Labor Force | Age 20-64
In terms of in labor force | age 20-64, the demographic groups most similar to Moroccans are Immigrants from Cuba (79.7%, a difference of 0.0%), South African (79.7%, a difference of 0.0%), Austrian (79.7%, a difference of 0.010%), German (79.7%, a difference of 0.010%), and Immigrants from South Africa (79.7%, a difference of 0.020%).
Demographics | Rating | Rank | In Labor Force | Age 20-64 |
Immigrants from Kazakhstan | 69.5 /100 | #153 | Good 79.7% |
New Zealanders | 69.4 /100 | #154 | Good 79.7% |
Immigrants from South Africa | 69.2 /100 | #155 | Good 79.7% |
Senegalese | 69.1 /100 | #156 | Good 79.7% |
Immigrants from China | 69.1 /100 | #157 | Good 79.7% |
Austrians | 67.6 /100 | #158 | Good 79.7% |
Immigrants from Cuba | 66.7 /100 | #159 | Good 79.7% |
Moroccans | 66.7 /100 | #160 | Good 79.7% |
South Africans | 66.2 /100 | #161 | Good 79.7% |
Germans | 65.2 /100 | #162 | Good 79.7% |
Immigrants from Costa Rica | 64.6 /100 | #163 | Good 79.7% |
Immigrants from Burma/Myanmar | 64.4 /100 | #164 | Good 79.7% |
Nigerians | 64.0 /100 | #165 | Good 79.7% |
Okinawans | 62.7 /100 | #166 | Good 79.6% |
Immigrants from Iraq | 62.0 /100 | #167 | Good 79.6% |
Moroccan In Labor Force | Age 20-64 Correlation Summary
Measurement | Moroccan Data | In Labor Force | Age 20-64 Data |
Minimum | 0.046% | 52.1% |
Maximum | 25.8% | 100.0% |
Range | 25.7% | 47.9% |
Mean | 4.0% | 77.6% |
Median | 2.5% | 79.7% |
Interquartile 25% (IQ1) | 1.2% | 72.3% |
Interquartile 75% (IQ3) | 4.0% | 83.3% |
Interquartile Range (IQR) | 2.8% | 11.0% |
Standard Deviation (Sample) | 5.1% | 9.7% |
Standard Deviation (Population) | 5.0% | 9.5% |
Correlation Details
Moroccan Percentile | Sample Size | In Labor Force | Age 20-64 |
[ 0.0% - 0.5% ] 0.046% | 147,568,913 | 79.4% |
[ 0.0% - 0.5% ] 0.17% | 33,429,403 | 79.1% |
[ 0.0% - 0.5% ] 0.31% | 8,870,723 | 80.4% |
[ 0.0% - 0.5% ] 0.44% | 4,356,646 | 79.7% |
[ 0.5% - 1.0% ] 0.57% | 2,429,659 | 79.7% |
[ 0.5% - 1.0% ] 0.70% | 1,635,226 | 82.2% |
[ 0.5% - 1.0% ] 0.82% | 1,060,813 | 80.9% |
[ 0.5% - 1.0% ] 0.95% | 560,521 | 80.6% |
[ 1.0% - 1.5% ] 1.10% | 300,125 | 79.0% |
[ 1.0% - 1.5% ] 1.22% | 472,512 | 78.5% |
[ 1.0% - 1.5% ] 1.34% | 148,615 | 81.0% |
[ 1.0% - 1.5% ] 1.48% | 250,431 | 81.7% |
[ 1.5% - 2.0% ] 1.60% | 132,664 | 81.6% |
[ 1.5% - 2.0% ] 1.70% | 19,227 | 67.1% |
[ 1.5% - 2.0% ] 1.85% | 115,696 | 76.2% |
[ 2.0% - 2.5% ] 2.01% | 18,033 | 67.6% |
[ 2.0% - 2.5% ] 2.15% | 64,963 | 78.6% |
[ 2.0% - 2.5% ] 2.23% | 213,400 | 83.6% |
[ 2.0% - 2.5% ] 2.39% | 37,065 | 80.0% |
[ 2.0% - 2.5% ] 2.48% | 13,603 | 80.7% |
[ 2.5% - 3.0% ] 2.70% | 6,379 | 73.8% |
[ 2.5% - 3.0% ] 2.73% | 31,771 | 83.3% |
[ 2.5% - 3.0% ] 2.91% | 9,656 | 70.4% |
[ 3.0% - 3.5% ] 3.09% | 5,917 | 63.2% |
[ 3.0% - 3.5% ] 3.19% | 188 | 83.8% |
[ 3.0% - 3.5% ] 3.24% | 5,371 | 87.2% |
[ 3.0% - 3.5% ] 3.37% | 19,531 | 87.3% |
[ 3.5% - 4.0% ] 3.63% | 8,207 | 83.5% |
[ 3.5% - 4.0% ] 3.74% | 935 | 86.8% |
[ 4.0% - 4.5% ] 4.02% | 1,020 | 78.4% |
[ 4.5% - 5.0% ] 4.52% | 6,123 | 66.3% |
[ 4.5% - 5.0% ] 4.67% | 2,508 | 85.5% |
[ 5.0% - 5.5% ] 5.48% | 2,499 | 71.9% |
[ 6.5% - 7.0% ] 6.67% | 465 | 72.3% |
[ 11.0% - 11.5% ] 11.23% | 6,962 | 55.1% |
[ 11.0% - 11.5% ] 11.46% | 314 | 100.0% |
[ 12.5% - 13.0% ] 12.65% | 332 | 91.8% |
[ 15.5% - 16.0% ] 15.89% | 642 | 57.2% |
[ 25.5% - 26.0% ] 25.80% | 314 | 52.1% |