Immigrants from Moldova In Labor Force | Age 30-34
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Immigrants from Moldova
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In Labor Force | Age 30-34
Immigrants from Moldova In Labor Force | Age 30-34
85.3%
IN LABOR FORCE | AGE 30-34
97.9/ 100
METRIC RATING
91st/ 347
METRIC RANK
Immigrants from Moldova In Labor Force | Age 30-34 Correlation Chart
The statistical analysis conducted on geographies consisting of 124,394,120 people shows a weak positive correlation between the proportion of Immigrants from Moldova and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.234 and weighted average of 85.3%. On average, for every 1% (one percent) increase in Immigrants from Moldova within a typical geography, there is an increase of 0.76% 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 Moldova 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 Moldova 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 Moldova 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 Moldova by In Labor Force | Age 30-34
In terms of in labor force | age 30-34, the demographic groups most similar to Immigrants from Moldova are Burmese (85.3%, a difference of 0.010%), German Russian (85.2%, a difference of 0.010%), Immigrants from Kazakhstan (85.3%, a difference of 0.020%), Immigrants from Norway (85.2%, a difference of 0.020%), and Immigrants from Northern Europe (85.3%, a difference of 0.030%).
| Demographics | Rating | Rank | In Labor Force | Age 30-34 |
| Greeks | 98.6 /100 | #84 | Exceptional 85.3% |
| Mongolians | 98.5 /100 | #85 | Exceptional 85.3% |
| Immigrants from Taiwan | 98.3 /100 | #86 | Exceptional 85.3% |
| Immigrants from Northern Europe | 98.2 /100 | #87 | Exceptional 85.3% |
| Immigrants from Belgium | 98.2 /100 | #88 | Exceptional 85.3% |
| Immigrants from Kazakhstan | 98.1 /100 | #89 | Exceptional 85.3% |
| Burmese | 97.9 /100 | #90 | Exceptional 85.3% |
| Immigrants from Moldova | 97.9 /100 | #91 | Exceptional 85.3% |
| German Russians | 97.7 /100 | #92 | Exceptional 85.2% |
| 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% |
Immigrants from Moldova In Labor Force | Age 30-34 Correlation Summary
| Measurement | Immigrants from Moldova Data | In Labor Force | Age 30-34 Data |
| Minimum | 0.026% | 61.3% |
| Maximum | 13.7% | 100.0% |
| Range | 13.6% | 38.7% |
| Mean | 2.3% | 84.0% |
| Median | 1.5% | 85.6% |
| Interquartile 25% (IQ1) | 0.71% | 81.5% |
| Interquartile 75% (IQ3) | 2.4% | 87.4% |
| Interquartile Range (IQR) | 1.7% | 5.8% |
| Standard Deviation (Sample) | 2.8% | 9.2% |
| Standard Deviation (Population) | 2.8% | 9.1% |
Correlation Details
| Immigrants from Moldova Percentile | Sample Size | In Labor Force | Age 30-34 |
[ 0.0% - 0.5% ] 0.026% | 92,797,931 | 85.6% |
[ 0.0% - 0.5% ] 0.098% | 15,298,699 | 86.0% |
[ 0.0% - 0.5% ] 0.17% | 5,603,664 | 85.9% |
[ 0.0% - 0.5% ] 0.24% | 3,433,083 | 85.0% |
[ 0.0% - 0.5% ] 0.31% | 2,217,582 | 86.6% |
[ 0.0% - 0.5% ] 0.37% | 861,415 | 86.1% |
[ 0.0% - 0.5% ] 0.45% | 1,064,411 | 85.7% |
[ 0.5% - 1.0% ] 0.52% | 444,026 | 85.2% |
[ 0.5% - 1.0% ] 0.59% | 471,463 | 86.1% |
[ 0.5% - 1.0% ] 0.66% | 297,259 | 83.3% |
[ 0.5% - 1.0% ] 0.71% | 300,125 | 81.5% |
[ 0.5% - 1.0% ] 0.79% | 268,971 | 85.9% |
[ 0.5% - 1.0% ] 0.85% | 132,707 | 81.8% |
[ 0.5% - 1.0% ] 0.93% | 173,019 | 87.1% |
[ 0.5% - 1.0% ] 1.00% | 223,201 | 83.0% |
[ 1.0% - 1.5% ] 1.07% | 45,054 | 87.4% |
[ 1.0% - 1.5% ] 1.14% | 87,699 | 83.8% |
[ 1.0% - 1.5% ] 1.20% | 47,934 | 93.2% |
[ 1.0% - 1.5% ] 1.28% | 132,624 | 73.2% |
[ 1.0% - 1.5% ] 1.33% | 25,779 | 90.5% |
[ 1.0% - 1.5% ] 1.39% | 72,601 | 79.9% |
[ 1.0% - 1.5% ] 1.49% | 470 | 92.3% |
[ 1.5% - 2.0% ] 1.54% | 184,782 | 85.6% |
[ 1.5% - 2.0% ] 1.59% | 129,850 | 84.5% |
[ 1.5% - 2.0% ] 1.67% | 6,004 | 67.5% |
[ 1.5% - 2.0% ] 1.74% | 17,526 | 89.1% |
[ 1.5% - 2.0% ] 1.80% | 3,620 | 68.8% |
[ 1.5% - 2.0% ] 1.94% | 21,084 | 86.6% |
[ 1.5% - 2.0% ] 1.98% | 1,009 | 90.7% |
[ 2.0% - 2.5% ] 2.09% | 2,583 | 81.6% |
[ 2.0% - 2.5% ] 2.19% | 7,218 | 83.7% |
[ 2.0% - 2.5% ] 2.26% | 2,568 | 83.2% |
[ 2.0% - 2.5% ] 2.43% | 370 | 100.0% |
[ 2.5% - 3.0% ] 2.51% | 956 | 61.3% |
[ 2.5% - 3.0% ] 2.72% | 4,926 | 73.4% |
[ 2.5% - 3.0% ] 2.81% | 2,631 | 72.3% |
[ 2.5% - 3.0% ] 2.94% | 680 | 97.0% |
[ 3.5% - 4.0% ] 3.61% | 388 | 68.2% |
[ 3.5% - 4.0% ] 3.71% | 2,644 | 75.2% |
[ 7.5% - 8.0% ] 7.97% | 2,560 | 67.7% |
[ 9.0% - 9.5% ] 9.30% | 1,990 | 100.0% |
[ 9.5% - 10.0% ] 9.88% | 648 | 100.0% |
[ 13.5% - 14.0% ] 13.66% | 366 | 100.0% |