Immigrants from Uganda In Labor Force | Age 30-34
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Immigrants from Uganda
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In Labor Force | Age 30-34
Immigrants from Uganda In Labor Force | Age 30-34
85.2%
IN LABOR FORCE | AGE 30-34
97.2/ 100
METRIC RATING
98th/ 347
METRIC RANK
Immigrants from Uganda In Labor Force | Age 30-34 Correlation Chart
The statistical analysis conducted on geographies consisting of 125,970,881 people shows a moderate positive correlation between the proportion of Immigrants from Uganda and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.444 and weighted average of 85.2%. On average, for every 1% (one percent) increase in Immigrants from Uganda within a typical geography, there is an increase of 2.0% 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 Uganda 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 Uganda 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 Uganda 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 Uganda by In Labor Force | Age 30-34
In terms of in labor force | age 30-34, the demographic groups most similar to Immigrants from Uganda are Immigrants from Korea (85.2%, a difference of 0.0%), Thai (85.2%, a difference of 0.0%), Belgian (85.2%, a difference of 0.0%), Sudanese (85.2%, a difference of 0.010%), and Swedish (85.2%, a difference of 0.020%).
| Demographics | Rating | Rank | In Labor Force | Age 30-34 |
| 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% |
| 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 Uganda In Labor Force | Age 30-34 Correlation Summary
| Measurement | Immigrants from Uganda Data | In Labor Force | Age 30-34 Data |
| Minimum | 0.016% | 64.7% |
| Maximum | 9.7% | 100.0% |
| Range | 9.7% | 35.3% |
| Mean | 1.9% | 88.2% |
| Median | 1.3% | 86.6% |
| Interquartile 25% (IQ1) | 0.64% | 84.6% |
| Interquartile 75% (IQ3) | 2.5% | 96.3% |
| Interquartile Range (IQR) | 1.9% | 11.7% |
| Standard Deviation (Sample) | 2.0% | 9.0% |
| Standard Deviation (Population) | 1.9% | 8.9% |
Correlation Details
| Immigrants from Uganda Percentile | Sample Size | In Labor Force | Age 30-34 |
[ 0.0% - 0.5% ] 0.016% | 94,909,927 | 85.1% |
[ 0.0% - 0.5% ] 0.068% | 15,618,452 | 85.3% |
[ 0.0% - 0.5% ] 0.12% | 6,167,587 | 85.2% |
[ 0.0% - 0.5% ] 0.17% | 2,274,784 | 85.7% |
[ 0.0% - 0.5% ] 0.22% | 2,340,888 | 86.3% |
[ 0.0% - 0.5% ] 0.26% | 1,186,352 | 87.3% |
[ 0.0% - 0.5% ] 0.32% | 806,142 | 85.1% |
[ 0.0% - 0.5% ] 0.36% | 492,326 | 86.8% |
[ 0.0% - 0.5% ] 0.42% | 295,401 | 81.2% |
[ 0.0% - 0.5% ] 0.46% | 485,387 | 86.6% |
[ 0.5% - 1.0% ] 0.51% | 44,186 | 85.7% |
[ 0.5% - 1.0% ] 0.56% | 226,526 | 84.7% |
[ 0.5% - 1.0% ] 0.62% | 215,506 | 87.0% |
[ 0.5% - 1.0% ] 0.66% | 223,595 | 83.5% |
[ 0.5% - 1.0% ] 0.70% | 95,750 | 88.5% |
[ 0.5% - 1.0% ] 0.76% | 43,996 | 86.2% |
[ 0.5% - 1.0% ] 0.81% | 79,087 | 76.6% |
[ 0.5% - 1.0% ] 0.87% | 12,706 | 76.7% |
[ 0.5% - 1.0% ] 0.89% | 49,663 | 84.7% |
[ 0.5% - 1.0% ] 0.95% | 16,112 | 68.0% |
[ 0.5% - 1.0% ] 0.99% | 5,887 | 76.5% |
[ 1.0% - 1.5% ] 1.05% | 4,097 | 93.8% |
[ 1.0% - 1.5% ] 1.08% | 69,524 | 89.4% |
[ 1.0% - 1.5% ] 1.12% | 32,761 | 84.2% |
[ 1.0% - 1.5% ] 1.18% | 43,208 | 85.7% |
[ 1.0% - 1.5% ] 1.26% | 13,516 | 85.0% |
[ 1.0% - 1.5% ] 1.27% | 14,553 | 71.7% |
[ 1.0% - 1.5% ] 1.34% | 68,892 | 91.8% |
[ 1.0% - 1.5% ] 1.39% | 5,018 | 64.7% |
[ 1.0% - 1.5% ] 1.44% | 1,533 | 95.0% |
[ 1.0% - 1.5% ] 1.48% | 12,355 | 80.9% |
[ 1.5% - 2.0% ] 1.55% | 23,081 | 82.3% |
[ 1.5% - 2.0% ] 1.60% | 12,108 | 95.2% |
[ 1.5% - 2.0% ] 1.68% | 238 | 100.0% |
[ 1.5% - 2.0% ] 1.73% | 9,415 | 95.0% |
[ 1.5% - 2.0% ] 1.78% | 3,194 | 92.4% |
[ 1.5% - 2.0% ] 1.90% | 2,900 | 84.6% |
[ 2.0% - 2.5% ] 2.07% | 1,210 | 100.0% |
[ 2.0% - 2.5% ] 2.42% | 660 | 100.0% |
[ 2.0% - 2.5% ] 2.45% | 3,884 | 97.4% |
[ 2.5% - 3.0% ] 2.62% | 5,462 | 92.2% |
[ 2.5% - 3.0% ] 2.81% | 604 | 87.9% |
[ 2.5% - 3.0% ] 2.86% | 315 | 100.0% |
[ 3.0% - 3.5% ] 3.07% | 1,011 | 100.0% |
[ 3.0% - 3.5% ] 3.46% | 3,348 | 100.0% |
[ 3.5% - 4.0% ] 3.55% | 338 | 100.0% |
[ 3.5% - 4.0% ] 3.62% | 15,830 | 85.6% |
[ 3.5% - 4.0% ] 3.84% | 2,241 | 100.0% |
[ 5.0% - 5.5% ] 5.00% | 180 | 100.0% |
[ 5.0% - 5.5% ] 5.46% | 26,684 | 69.3% |
[ 6.0% - 6.5% ] 6.29% | 1,303 | 99.3% |
[ 7.5% - 8.0% ] 7.59% | 316 | 100.0% |
[ 9.5% - 10.0% ] 9.74% | 842 | 99.2% |