Swiss In Labor Force | Age 16-19
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In Labor Force | Age 16-19
Swiss In Labor Force | Age 16-19
43.3%
IN LABOR FORCE | AGE 16-19
100.0/ 100
METRIC RATING
20th/ 347
METRIC RANK
Swiss In Labor Force | Age 16-19 Correlation Chart
The statistical analysis conducted on geographies consisting of 463,664,152 people shows a weak positive correlation between the proportion of Swiss and labor force participation rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.289 and weighted average of 43.3%. On average, for every 1% (one percent) increase in Swiss within a typical geography, there is an increase of 0.49% in labor force participation rate among population between the ages 16 and 19.
It is essential to understand that the correlation between the percentage of Swiss and labor force participation rate among population between the ages 16 and 19 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Swiss influences an upward or downward trend in the level of labor force participation rate among population between the ages 16 and 19 within an area, or if Swiss simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 16 and 19 due to other factors.
Demographics Similar to Swiss by In Labor Force | Age 16-19
In terms of in labor force | age 16-19, the demographic groups most similar to Swiss are Belgian (43.4%, a difference of 0.22%), Ottawa (43.0%, a difference of 0.56%), French Canadian (43.6%, a difference of 0.73%), Scandinavian (43.6%, a difference of 0.80%), and Czech (43.6%, a difference of 0.87%).
| Demographics | Rating | Rank | In Labor Force | Age 16-19 |
| Dutch | 100.0 /100 | #13 | Exceptional 43.8% |
| Chippewa | 100.0 /100 | #14 | Exceptional 43.8% |
| Slovenes | 100.0 /100 | #15 | Exceptional 43.7% |
| Czechs | 100.0 /100 | #16 | Exceptional 43.6% |
| Scandinavians | 100.0 /100 | #17 | Exceptional 43.6% |
| French Canadians | 100.0 /100 | #18 | Exceptional 43.6% |
| Belgians | 100.0 /100 | #19 | Exceptional 43.4% |
| Swiss | 100.0 /100 | #20 | Exceptional 43.3% |
| Ottawa | 100.0 /100 | #21 | Exceptional 43.0% |
| Sudanese | 100.0 /100 | #22 | Exceptional 42.9% |
| Slovaks | 100.0 /100 | #23 | Exceptional 42.6% |
| Bangladeshis | 100.0 /100 | #24 | Exceptional 42.5% |
| German Russians | 100.0 /100 | #25 | Exceptional 42.4% |
| English | 100.0 /100 | #26 | Exceptional 42.4% |
| Welsh | 100.0 /100 | #27 | Exceptional 42.3% |
Swiss In Labor Force | Age 16-19 Correlation Summary
| Measurement | Swiss Data | In Labor Force | Age 16-19 Data |
| Minimum | 0.18% | 26.1% |
| Maximum | 36.9% | 100.0% |
| Range | 36.7% | 73.9% |
| Mean | 14.9% | 59.2% |
| Median | 14.4% | 58.8% |
| Interquartile 25% (IQ1) | 7.3% | 49.5% |
| Interquartile 75% (IQ3) | 21.8% | 65.8% |
| Interquartile Range (IQR) | 14.5% | 16.3% |
| Standard Deviation (Sample) | 9.2% | 15.7% |
| Standard Deviation (Population) | 9.1% | 15.5% |
Correlation Details
| Swiss Percentile | Sample Size | In Labor Force | Age 16-19 |
[ 0.0% - 0.5% ] 0.18% | 392,641,283 | 38.7% |
[ 0.5% - 1.0% ] 0.68% | 51,532,328 | 44.1% |
[ 1.0% - 1.5% ] 1.21% | 10,579,363 | 46.4% |
[ 1.5% - 2.0% ] 1.70% | 3,658,956 | 46.9% |
[ 2.0% - 2.5% ] 2.20% | 1,648,803 | 49.9% |
[ 2.5% - 3.0% ] 2.72% | 1,106,300 | 49.6% |
[ 3.0% - 3.5% ] 3.20% | 644,117 | 53.7% |
[ 3.5% - 4.0% ] 3.72% | 411,632 | 54.0% |
[ 4.0% - 4.5% ] 4.24% | 236,171 | 54.2% |
[ 4.5% - 5.0% ] 4.74% | 202,540 | 49.5% |
[ 5.0% - 5.5% ] 5.25% | 129,557 | 57.9% |
[ 5.5% - 6.0% ] 5.72% | 183,322 | 51.7% |
[ 6.0% - 6.5% ] 6.20% | 127,330 | 53.2% |
[ 6.5% - 7.0% ] 6.74% | 61,529 | 61.9% |
[ 7.0% - 7.5% ] 7.26% | 107,375 | 56.9% |
[ 7.5% - 8.0% ] 7.81% | 29,425 | 58.8% |
[ 8.0% - 8.5% ] 8.22% | 35,985 | 60.7% |
[ 8.5% - 9.0% ] 8.74% | 34,965 | 66.8% |
[ 9.0% - 9.5% ] 9.35% | 40,248 | 71.9% |
[ 9.5% - 10.0% ] 9.77% | 22,567 | 65.7% |
[ 10.0% - 10.5% ] 10.23% | 8,125 | 65.1% |
[ 10.5% - 11.0% ] 10.72% | 38,324 | 60.6% |
[ 11.0% - 11.5% ] 11.36% | 29,236 | 61.1% |
[ 11.5% - 12.0% ] 11.72% | 8,155 | 58.8% |
[ 12.0% - 12.5% ] 12.27% | 11,044 | 44.5% |
[ 12.5% - 13.0% ] 12.79% | 9,513 | 57.0% |
[ 13.0% - 13.5% ] 13.10% | 8,636 | 35.7% |
[ 13.5% - 14.0% ] 13.73% | 10,782 | 46.6% |
[ 14.0% - 14.5% ] 14.30% | 6,176 | 47.8% |
[ 14.5% - 15.0% ] 14.60% | 8,513 | 56.2% |
[ 15.0% - 15.5% ] 15.31% | 9,665 | 60.2% |
[ 15.5% - 16.0% ] 15.57% | 4,786 | 40.7% |
[ 16.0% - 16.5% ] 16.02% | 768 | 64.0% |
[ 16.5% - 17.0% ] 16.67% | 8,627 | 90.0% |
[ 17.0% - 17.5% ] 17.18% | 1,100 | 65.8% |
[ 17.5% - 18.0% ] 17.52% | 2,551 | 76.6% |
[ 18.0% - 18.5% ] 18.36% | 11,360 | 46.3% |
[ 18.5% - 19.0% ] 18.82% | 15,354 | 49.8% |
[ 19.0% - 19.5% ] 19.26% | 2,965 | 72.2% |
[ 19.5% - 20.0% ] 19.73% | 12,488 | 65.9% |
[ 20.0% - 20.5% ] 20.11% | 5,072 | 60.2% |
[ 20.5% - 21.0% ] 20.65% | 1,240 | 58.0% |
[ 21.0% - 21.5% ] 21.28% | 860 | 72.7% |
[ 21.5% - 22.0% ] 21.76% | 3,438 | 59.9% |
[ 22.0% - 22.5% ] 22.26% | 328 | 69.0% |
[ 22.5% - 23.0% ] 22.66% | 128 | 87.5% |
[ 23.0% - 23.5% ] 23.12% | 1,553 | 90.8% |
[ 23.5% - 24.0% ] 23.90% | 3,075 | 60.6% |
[ 24.0% - 24.5% ] 24.30% | 461 | 62.9% |
[ 25.0% - 25.5% ] 25.00% | 320 | 100.0% |
[ 25.0% - 25.5% ] 25.29% | 601 | 88.4% |
[ 25.5% - 26.0% ] 25.68% | 740 | 32.2% |
[ 26.0% - 26.5% ] 26.39% | 1,023 | 66.8% |
[ 26.5% - 27.0% ] 26.61% | 1,135 | 44.2% |
[ 30.0% - 30.5% ] 30.22% | 139 | 33.3% |
[ 32.5% - 33.0% ] 32.79% | 122 | 100.0% |
[ 33.5% - 34.0% ] 33.95% | 1,302 | 26.1% |
[ 36.5% - 37.0% ] 36.87% | 651 | 64.7% |