Chinese In Labor Force | Age 20-64
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In Labor Force | Age 20-64
Chinese In Labor Force | Age 20-64
80.7%
IN LABOR FORCE | AGE 20-64
99.9/ 100
METRIC RATING
33rd/ 347
METRIC RANK
Chinese In Labor Force | Age 20-64 Correlation Chart
The statistical analysis conducted on geographies consisting of 64,809,125 people shows a moderate negative correlation between the proportion of Chinese and labor force participation rate among population between the ages 20 and 64 in the United States with a correlation coefficient (R) of -0.452 and weighted average of 80.7%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 1.7% in labor force participation rate among population between the ages 20 and 64.
It is essential to understand that the correlation between the percentage of Chinese and labor force participation rate among population between the ages 20 and 64 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Chinese influences an upward or downward trend in the level of labor force participation rate among population between the ages 20 and 64 within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 20 and 64 due to other factors.
Demographics Similar to Chinese by In Labor Force | Age 20-64
In terms of in labor force | age 20-64, the demographic groups most similar to Chinese are Immigrants from Brazil (80.7%, a difference of 0.020%), Immigrants from Ireland (80.7%, a difference of 0.030%), Immigrants from Lithuania (80.7%, a difference of 0.040%), Immigrants from Poland (80.6%, a difference of 0.050%), and Immigrants from North Macedonia (80.7%, a difference of 0.060%).
| Demographics | Rating | Rank | In Labor Force | Age 20-64 |
| Immigrants from Serbia | 100.0 /100 | #26 | Exceptional 80.8% |
| Immigrants from Kenya | 99.9 /100 | #27 | Exceptional 80.7% |
| Immigrants from Uganda | 99.9 /100 | #28 | Exceptional 80.7% |
| Immigrants from South Central Asia | 99.9 /100 | #29 | Exceptional 80.7% |
| Immigrants from North Macedonia | 99.9 /100 | #30 | Exceptional 80.7% |
| Immigrants from Lithuania | 99.9 /100 | #31 | Exceptional 80.7% |
| Immigrants from Ireland | 99.9 /100 | #32 | Exceptional 80.7% |
| Chinese | 99.9 /100 | #33 | Exceptional 80.7% |
| Immigrants from Brazil | 99.9 /100 | #34 | Exceptional 80.7% |
| Immigrants from Poland | 99.9 /100 | #35 | Exceptional 80.6% |
| Paraguayans | 99.8 /100 | #36 | Exceptional 80.6% |
| Immigrants from Moldova | 99.8 /100 | #37 | Exceptional 80.6% |
| Ugandans | 99.8 /100 | #38 | Exceptional 80.6% |
| Brazilians | 99.8 /100 | #39 | Exceptional 80.5% |
| Immigrants from Zimbabwe | 99.8 /100 | #40 | Exceptional 80.5% |
Chinese In Labor Force | Age 20-64 Correlation Summary
| Measurement | Chinese Data | In Labor Force | Age 20-64 Data |
| Minimum | 0.0087% | 51.7% |
| Maximum | 8.3% | 86.2% |
| Range | 8.3% | 34.5% |
| Mean | 1.7% | 79.0% |
| Median | 1.2% | 80.5% |
| Interquartile 25% (IQ1) | 0.60% | 77.7% |
| Interquartile 75% (IQ3) | 2.2% | 83.0% |
| Interquartile Range (IQR) | 1.6% | 5.3% |
| Standard Deviation (Sample) | 1.7% | 6.1% |
| Standard Deviation (Population) | 1.7% | 6.0% |
Correlation Details
| Chinese Percentile | Sample Size | In Labor Force | Age 20-64 |
[ 0.0% - 0.5% ] 0.0087% | 53,055,746 | 79.4% |
[ 0.0% - 0.5% ] 0.059% | 5,055,740 | 80.3% |
[ 0.0% - 0.5% ] 0.10% | 1,538,210 | 79.6% |
[ 0.0% - 0.5% ] 0.14% | 1,149,266 | 79.7% |
[ 0.0% - 0.5% ] 0.19% | 529,051 | 80.0% |
[ 0.0% - 0.5% ] 0.22% | 242,519 | 82.8% |
[ 0.0% - 0.5% ] 0.27% | 241,739 | 80.7% |
[ 0.0% - 0.5% ] 0.31% | 264,410 | 79.8% |
[ 0.0% - 0.5% ] 0.35% | 172,813 | 81.0% |
[ 0.0% - 0.5% ] 0.39% | 107,016 | 78.0% |
[ 0.0% - 0.5% ] 0.43% | 144,779 | 79.0% |
[ 0.0% - 0.5% ] 0.47% | 76,395 | 76.2% |
[ 0.5% - 1.0% ] 0.52% | 117,219 | 78.4% |
[ 0.5% - 1.0% ] 0.56% | 79,978 | 77.7% |
[ 0.5% - 1.0% ] 0.60% | 263,904 | 81.3% |
[ 0.5% - 1.0% ] 0.64% | 104,383 | 77.5% |
[ 0.5% - 1.0% ] 0.70% | 114,487 | 78.9% |
[ 0.5% - 1.0% ] 0.72% | 82,656 | 79.0% |
[ 0.5% - 1.0% ] 0.78% | 454,777 | 81.4% |
[ 0.5% - 1.0% ] 0.82% | 24,095 | 85.1% |
[ 0.5% - 1.0% ] 0.84% | 151,355 | 81.1% |
[ 0.5% - 1.0% ] 0.89% | 78,354 | 77.5% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 83.0% |
[ 1.0% - 1.5% ] 1.00% | 54,182 | 80.1% |
[ 1.0% - 1.5% ] 1.05% | 13,292 | 82.0% |
[ 1.0% - 1.5% ] 1.09% | 39,437 | 81.8% |
[ 1.0% - 1.5% ] 1.12% | 22,864 | 85.2% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 84.3% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 82.2% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 83.5% |
[ 1.0% - 1.5% ] 1.33% | 27,739 | 83.8% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 84.5% |
[ 1.0% - 1.5% ] 1.44% | 50,142 | 83.7% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 82.8% |
[ 1.5% - 2.0% ] 1.63% | 45,392 | 84.1% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 84.0% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 83.4% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 81.3% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 80.7% |
[ 1.5% - 2.0% ] 1.87% | 10,801 | 67.9% |
[ 1.5% - 2.0% ] 1.94% | 465 | 76.6% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 77.9% |
[ 2.0% - 2.5% ] 2.14% | 63,439 | 83.5% |
[ 2.0% - 2.5% ] 2.19% | 1,555 | 69.5% |
[ 2.0% - 2.5% ] 2.26% | 1,507 | 84.1% |
[ 2.0% - 2.5% ] 2.28% | 1,576 | 73.7% |
[ 2.5% - 3.0% ] 2.52% | 159 | 68.9% |
[ 2.5% - 3.0% ] 2.61% | 8,571 | 84.8% |
[ 3.0% - 3.5% ] 3.08% | 130 | 68.6% |
[ 3.0% - 3.5% ] 3.23% | 279 | 67.3% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 65.7% |
[ 3.0% - 3.5% ] 3.50% | 686 | 72.8% |
[ 4.0% - 4.5% ] 4.04% | 4,135 | 78.0% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 82.1% |
[ 4.5% - 5.0% ] 4.56% | 548 | 82.2% |
[ 5.5% - 6.0% ] 5.98% | 5,065 | 86.2% |
[ 6.5% - 7.0% ] 6.68% | 853 | 77.2% |
[ 8.0% - 8.5% ] 8.28% | 157 | 51.7% |