Sudanese In Labor Force | Age 30-34
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Sudanese
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In Labor Force | Age 30-34
Sudanese In Labor Force | Age 30-34
85.2%
IN LABOR FORCE | AGE 30-34
97.1/ 100
METRIC RATING
100th/ 347
METRIC RANK
Sudanese In Labor Force | Age 30-34 Correlation Chart
The statistical analysis conducted on geographies consisting of 110,111,574 people shows no correlation between the proportion of Sudanese and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.002 and weighted average of 85.2%. On average, for every 1% (one percent) increase in Sudanese within a typical geography, there is a decrease of 0.0042% 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 Sudanese 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 Sudanese 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 Sudanese 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 Sudanese by In Labor Force | Age 30-34
In terms of in labor force | age 30-34, the demographic groups most similar to Sudanese are Belgian (85.2%, a difference of 0.0%), Immigrants from Korea (85.2%, a difference of 0.010%), Thai (85.2%, a difference of 0.010%), Immigrants from Uganda (85.2%, a difference of 0.010%), and Immigrants from Belarus (85.2%, a difference of 0.010%).
| Demographics | Rating | Rank | In Labor Force | Age 30-34 |
| Immigrants from Norway | 97.6 /100 | #93 | Exceptional 85.2% |
| Swedes | 97.5 /100 | #94 | Exceptional 85.2% |
| Immigrants from India | 97.4 /100 | #95 | Exceptional 85.2% |
| Immigrants from Korea | 97.3 /100 | #96 | Exceptional 85.2% |
| Thais | 97.2 /100 | #97 | Exceptional 85.2% |
| Immigrants from Uganda | 97.2 /100 | #98 | Exceptional 85.2% |
| Belgians | 97.2 /100 | #99 | Exceptional 85.2% |
| 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% |
Sudanese In Labor Force | Age 30-34 Correlation Summary
| Measurement | Sudanese Data | In Labor Force | Age 30-34 Data |
| Minimum | 0.020% | 63.7% |
| Maximum | 16.9% | 100.0% |
| Range | 16.9% | 36.3% |
| Mean | 2.4% | 85.6% |
| Median | 1.7% | 85.4% |
| Interquartile 25% (IQ1) | 0.83% | 82.4% |
| Interquartile 75% (IQ3) | 2.9% | 88.5% |
| Interquartile Range (IQR) | 2.1% | 6.1% |
| Standard Deviation (Sample) | 2.7% | 7.2% |
| Standard Deviation (Population) | 2.7% | 7.2% |
Correlation Details
| Sudanese Percentile | Sample Size | In Labor Force | Age 30-34 |
[ 0.0% - 0.5% ] 0.020% | 68,861,930 | 85.1% |
[ 0.0% - 0.5% ] 0.075% | 13,846,924 | 85.3% |
[ 0.0% - 0.5% ] 0.13% | 7,063,878 | 83.8% |
[ 0.0% - 0.5% ] 0.18% | 3,633,874 | 85.5% |
[ 0.0% - 0.5% ] 0.22% | 2,485,123 | 85.1% |
[ 0.0% - 0.5% ] 0.28% | 2,245,764 | 85.5% |
[ 0.0% - 0.5% ] 0.33% | 2,754,294 | 85.9% |
[ 0.0% - 0.5% ] 0.38% | 896,007 | 86.8% |
[ 0.0% - 0.5% ] 0.43% | 1,073,442 | 86.7% |
[ 0.0% - 0.5% ] 0.48% | 973,619 | 85.1% |
[ 0.5% - 1.0% ] 0.53% | 1,002,090 | 84.9% |
[ 0.5% - 1.0% ] 0.58% | 529,129 | 81.6% |
[ 0.5% - 1.0% ] 0.65% | 829,757 | 85.6% |
[ 0.5% - 1.0% ] 0.68% | 328,164 | 87.2% |
[ 0.5% - 1.0% ] 0.73% | 394,831 | 88.5% |
[ 0.5% - 1.0% ] 0.78% | 195,444 | 85.1% |
[ 0.5% - 1.0% ] 0.83% | 292,745 | 83.7% |
[ 0.5% - 1.0% ] 0.89% | 230,407 | 87.0% |
[ 0.5% - 1.0% ] 0.93% | 214,821 | 82.4% |
[ 0.5% - 1.0% ] 0.98% | 107,636 | 85.3% |
[ 1.0% - 1.5% ] 1.05% | 205,660 | 83.7% |
[ 1.0% - 1.5% ] 1.10% | 361,784 | 79.8% |
[ 1.0% - 1.5% ] 1.15% | 88,579 | 87.4% |
[ 1.0% - 1.5% ] 1.19% | 49,109 | 89.9% |
[ 1.0% - 1.5% ] 1.24% | 84,796 | 90.7% |
[ 1.0% - 1.5% ] 1.29% | 119,830 | 87.9% |
[ 1.0% - 1.5% ] 1.33% | 266,931 | 86.9% |
[ 1.0% - 1.5% ] 1.37% | 58,210 | 87.8% |
[ 1.0% - 1.5% ] 1.42% | 24,637 | 85.2% |
[ 1.0% - 1.5% ] 1.48% | 62,837 | 90.0% |
[ 1.5% - 2.0% ] 1.52% | 39,237 | 86.3% |
[ 1.5% - 2.0% ] 1.61% | 6,278 | 75.0% |
[ 1.5% - 2.0% ] 1.65% | 11,427 | 93.5% |
[ 1.5% - 2.0% ] 1.68% | 35,223 | 84.0% |
[ 1.5% - 2.0% ] 1.82% | 119,866 | 83.2% |
[ 1.5% - 2.0% ] 1.84% | 21,801 | 78.8% |
[ 1.5% - 2.0% ] 1.89% | 52,472 | 82.2% |
[ 1.5% - 2.0% ] 1.94% | 12,595 | 79.1% |
[ 2.0% - 2.5% ] 2.01% | 29,580 | 78.9% |
[ 2.0% - 2.5% ] 2.04% | 33,194 | 71.3% |
[ 2.0% - 2.5% ] 2.12% | 82,775 | 80.6% |
[ 2.0% - 2.5% ] 2.16% | 43,183 | 86.7% |
[ 2.0% - 2.5% ] 2.23% | 404 | 100.0% |
[ 2.0% - 2.5% ] 2.31% | 29,261 | 82.9% |
[ 2.0% - 2.5% ] 2.47% | 51,386 | 86.4% |
[ 2.5% - 3.0% ] 2.54% | 8,283 | 94.2% |
[ 2.5% - 3.0% ] 2.64% | 13,087 | 97.1% |
[ 2.5% - 3.0% ] 2.71% | 68,762 | 90.4% |
[ 2.5% - 3.0% ] 2.74% | 8,259 | 63.7% |
[ 2.5% - 3.0% ] 2.93% | 25,129 | 95.4% |
[ 2.5% - 3.0% ] 2.97% | 21,583 | 90.7% |
[ 3.0% - 3.5% ] 3.17% | 3,093 | 72.3% |
[ 3.0% - 3.5% ] 3.22% | 31,976 | 92.1% |
[ 3.0% - 3.5% ] 3.42% | 1,082 | 83.8% |
[ 3.5% - 4.0% ] 3.84% | 1,822 | 92.2% |
[ 4.0% - 4.5% ] 4.32% | 533 | 100.0% |
[ 4.5% - 5.0% ] 4.53% | 22,340 | 77.6% |
[ 4.5% - 5.0% ] 4.65% | 495 | 100.0% |
[ 5.0% - 5.5% ] 5.10% | 24,028 | 77.0% |
[ 5.0% - 5.5% ] 5.26% | 2,586 | 79.3% |
[ 6.0% - 6.5% ] 6.27% | 590 | 81.0% |
[ 6.0% - 6.5% ] 6.47% | 9,917 | 100.0% |
[ 7.0% - 7.5% ] 7.01% | 10,086 | 87.6% |
[ 7.5% - 8.0% ] 7.92% | 2,727 | 100.0% |
[ 10.0% - 10.5% ] 10.12% | 1,206 | 67.3% |
[ 16.5% - 17.0% ] 16.88% | 3,056 | 84.3% |