Slovene In Labor Force | Age 30-34
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Slovene
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In Labor Force | Age 30-34
Slovene In Labor Force | Age 30-34
85.6%
IN LABOR FORCE | AGE 30-34
99.7/ 100
METRIC RATING
52nd/ 347
METRIC RANK
Slovene In Labor Force | Age 30-34 Correlation Chart
The statistical analysis conducted on geographies consisting of 261,230,340 people shows no correlation between the proportion of Slovenes and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.005 and weighted average of 85.6%. On average, for every 1% (one percent) increase in Slovenes within a typical geography, there is an increase of 0.0097% 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 Slovenes 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 Slovenes 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 Slovenes 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 Slovenes by In Labor Force | Age 30-34
In terms of in labor force | age 30-34, the demographic groups most similar to Slovenes are Cape Verdean (85.6%, a difference of 0.010%), Immigrants from Australia (85.6%, a difference of 0.030%), Immigrants from Sweden (85.6%, a difference of 0.040%), Lithuanian (85.6%, a difference of 0.040%), and Filipino (85.5%, a difference of 0.050%).
| Demographics | Rating | Rank | In Labor Force | Age 30-34 |
| Immigrants from Nepal | 99.8 /100 | #45 | Exceptional 85.6% |
| Immigrants from Morocco | 99.8 /100 | #46 | Exceptional 85.6% |
| Croatians | 99.8 /100 | #47 | Exceptional 85.6% |
| Immigrants from Sweden | 99.8 /100 | #48 | Exceptional 85.6% |
| Lithuanians | 99.8 /100 | #49 | Exceptional 85.6% |
| Immigrants from Australia | 99.8 /100 | #50 | Exceptional 85.6% |
| Cape Verdeans | 99.7 /100 | #51 | Exceptional 85.6% |
| Slovenes | 99.7 /100 | #52 | Exceptional 85.6% |
| Filipinos | 99.6 /100 | #53 | Exceptional 85.5% |
| Immigrants from Kenya | 99.6 /100 | #54 | Exceptional 85.5% |
| Immigrants from Turkey | 99.6 /100 | #55 | Exceptional 85.5% |
| Czechs | 99.6 /100 | #56 | Exceptional 85.5% |
| Russians | 99.6 /100 | #57 | Exceptional 85.5% |
| Poles | 99.6 /100 | #58 | Exceptional 85.5% |
| Immigrants from Poland | 99.5 /100 | #59 | Exceptional 85.5% |
Slovene In Labor Force | Age 30-34 Correlation Summary
| Measurement | Slovene Data | In Labor Force | Age 30-34 Data |
| Minimum | 0.049% | 64.8% |
| Maximum | 21.6% | 100.0% |
| Range | 21.5% | 35.2% |
| Mean | 6.0% | 85.7% |
| Median | 5.0% | 85.9% |
| Interquartile 25% (IQ1) | 2.5% | 82.1% |
| Interquartile 75% (IQ3) | 8.4% | 90.4% |
| Interquartile Range (IQR) | 5.9% | 8.3% |
| Standard Deviation (Sample) | 4.8% | 8.8% |
| Standard Deviation (Population) | 4.8% | 8.8% |
Correlation Details
| Slovene Percentile | Sample Size | In Labor Force | Age 30-34 |
[ 0.0% - 0.5% ] 0.049% | 226,126,197 | 85.0% |
[ 0.0% - 0.5% ] 0.23% | 19,596,326 | 86.1% |
[ 0.0% - 0.5% ] 0.40% | 5,999,882 | 85.6% |
[ 0.5% - 1.0% ] 0.58% | 3,057,334 | 85.7% |
[ 0.5% - 1.0% ] 0.74% | 1,806,636 | 84.8% |
[ 0.5% - 1.0% ] 0.90% | 1,209,135 | 85.5% |
[ 1.0% - 1.5% ] 1.10% | 458,271 | 88.8% |
[ 1.0% - 1.5% ] 1.25% | 756,819 | 89.2% |
[ 1.0% - 1.5% ] 1.43% | 422,473 | 87.1% |
[ 1.5% - 2.0% ] 1.56% | 242,798 | 88.3% |
[ 1.5% - 2.0% ] 1.75% | 281,301 | 85.3% |
[ 1.5% - 2.0% ] 1.91% | 115,189 | 83.0% |
[ 2.0% - 2.5% ] 2.05% | 206,615 | 88.4% |
[ 2.0% - 2.5% ] 2.21% | 53,763 | 81.6% |
[ 2.0% - 2.5% ] 2.40% | 83,126 | 82.8% |
[ 2.5% - 3.0% ] 2.58% | 39,541 | 83.8% |
[ 2.5% - 3.0% ] 2.75% | 54,342 | 75.4% |
[ 2.5% - 3.0% ] 2.90% | 44,911 | 90.3% |
[ 3.0% - 3.5% ] 3.09% | 53,128 | 80.7% |
[ 3.0% - 3.5% ] 3.22% | 16,159 | 72.1% |
[ 3.0% - 3.5% ] 3.39% | 30,603 | 84.0% |
[ 3.5% - 4.0% ] 3.54% | 74,929 | 82.6% |
[ 3.5% - 4.0% ] 3.80% | 14,604 | 87.3% |
[ 3.5% - 4.0% ] 3.89% | 7,461 | 87.9% |
[ 4.0% - 4.5% ] 4.05% | 3,502 | 65.8% |
[ 4.0% - 4.5% ] 4.18% | 3,685 | 79.5% |
[ 4.0% - 4.5% ] 4.41% | 12,073 | 91.1% |
[ 4.5% - 5.0% ] 4.54% | 9,338 | 89.4% |
[ 4.5% - 5.0% ] 4.74% | 24,639 | 86.4% |
[ 4.5% - 5.0% ] 4.87% | 61,500 | 87.8% |
[ 5.0% - 5.5% ] 5.05% | 67,112 | 87.6% |
[ 5.0% - 5.5% ] 5.25% | 89,439 | 85.5% |
[ 5.0% - 5.5% ] 5.47% | 439 | 100.0% |
[ 5.5% - 6.0% ] 5.57% | 2,731 | 70.2% |
[ 5.5% - 6.0% ] 5.83% | 3,500 | 100.0% |
[ 5.5% - 6.0% ] 5.93% | 38,004 | 80.1% |
[ 6.0% - 6.5% ] 6.13% | 2,775 | 90.0% |
[ 6.0% - 6.5% ] 6.20% | 3,578 | 86.2% |
[ 6.5% - 7.0% ] 6.63% | 8,105 | 93.5% |
[ 6.5% - 7.0% ] 6.76% | 38,791 | 84.8% |
[ 7.0% - 7.5% ] 7.11% | 2,530 | 94.4% |
[ 7.0% - 7.5% ] 7.18% | 41,270 | 90.4% |
[ 7.0% - 7.5% ] 7.37% | 353 | 100.0% |
[ 8.0% - 8.5% ] 8.03% | 934 | 64.8% |
[ 8.0% - 8.5% ] 8.26% | 13,664 | 73.9% |
[ 8.0% - 8.5% ] 8.47% | 2,019 | 85.6% |
[ 8.5% - 9.0% ] 8.67% | 9,972 | 84.6% |
[ 8.5% - 9.0% ] 8.86% | 158 | 100.0% |
[ 9.0% - 9.5% ] 9.40% | 17,138 | 76.0% |
[ 9.5% - 10.0% ] 9.75% | 7,449 | 92.1% |
[ 9.5% - 10.0% ] 9.93% | 1,340 | 96.1% |
[ 10.5% - 11.0% ] 10.70% | 5,297 | 93.2% |
[ 11.0% - 11.5% ] 11.12% | 998 | 70.6% |
[ 12.0% - 12.5% ] 12.12% | 198 | 100.0% |
[ 12.0% - 12.5% ] 12.23% | 1,071 | 100.0% |
[ 12.5% - 13.0% ] 12.59% | 3,265 | 92.2% |
[ 14.5% - 15.0% ] 14.97% | 314 | 80.8% |
[ 17.5% - 18.0% ] 17.80% | 410 | 69.4% |
[ 21.0% - 21.5% ] 21.15% | 104 | 66.7% |
[ 21.5% - 22.0% ] 21.60% | 1,102 | 100.0% |