Chinese Female Unemployment
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Chinese
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Female Unemployment
Chinese Female Unemployment
4.5%
UNEMPLOYMENT | FEMALES
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
Chinese Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 64,725,695 people shows no correlation between the proportion of Chinese and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.049 and weighted average of 4.5%. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.066% in unemploymnet rate among females.
It is essential to understand that the correlation between the percentage of Chinese and unemploymnet rate among females 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 unemploymnet rate among females within an area, or if Chinese simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.
Demographics Similar to Chinese by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Chinese are German (4.5%, a difference of 0.020%), Slovene (4.5%, a difference of 0.38%), Swedish (4.4%, a difference of 0.77%), Swiss (4.6%, a difference of 1.7%), and Scandinavian (4.6%, a difference of 1.8%).
| Demographics | Rating | Rank | Female Unemployment |
| Norwegians | 100.0 /100 | #1 | Exceptional 4.2% |
| Czechs | 100.0 /100 | #2 | Exceptional 4.4% |
| Luxembourgers | 100.0 /100 | #3 | Exceptional 4.4% |
| Danes | 100.0 /100 | #4 | Exceptional 4.4% |
| Hmong | 100.0 /100 | #5 | Exceptional 4.4% |
| Swedes | 100.0 /100 | #6 | Exceptional 4.4% |
| Chinese | 100.0 /100 | #7 | Exceptional 4.5% |
| Germans | 100.0 /100 | #8 | Exceptional 4.5% |
| Slovenes | 100.0 /100 | #9 | Exceptional 4.5% |
| Swiss | 100.0 /100 | #10 | Exceptional 4.6% |
| Scandinavians | 100.0 /100 | #11 | Exceptional 4.6% |
| Dutch | 100.0 /100 | #12 | Exceptional 4.6% |
| Belgians | 100.0 /100 | #13 | Exceptional 4.6% |
| Finns | 100.0 /100 | #14 | Exceptional 4.6% |
| English | 100.0 /100 | #15 | Exceptional 4.6% |
Chinese Female Unemployment Correlation Summary
| Measurement | Chinese Data | Female Unemployment Data |
| Minimum | 0.0087% | 1.8% |
| Maximum | 6.7% | 10.0% |
| Range | 6.7% | 8.2% |
| Mean | 1.4% | 4.5% |
| Median | 1.1% | 4.1% |
| Interquartile 25% (IQ1) | 0.52% | 3.3% |
| Interquartile 75% (IQ3) | 1.8% | 5.8% |
| Interquartile Range (IQR) | 1.3% | 2.5% |
| Standard Deviation (Sample) | 1.4% | 1.9% |
| Standard Deviation (Population) | 1.4% | 1.9% |
Correlation Details
| Chinese Percentile | Sample Size | Female Unemployment |
[ 0.0% - 0.5% ] 0.0087% | 53,055,746 | 5.8% |
[ 0.0% - 0.5% ] 0.059% | 5,049,043 | 4.8% |
[ 0.0% - 0.5% ] 0.10% | 1,538,210 | 4.3% |
[ 0.0% - 0.5% ] 0.14% | 1,140,248 | 5.8% |
[ 0.0% - 0.5% ] 0.19% | 529,051 | 4.0% |
[ 0.0% - 0.5% ] 0.22% | 239,480 | 4.9% |
[ 0.0% - 0.5% ] 0.27% | 241,739 | 6.4% |
[ 0.0% - 0.5% ] 0.31% | 258,040 | 4.4% |
[ 0.0% - 0.5% ] 0.35% | 172,222 | 5.9% |
[ 0.0% - 0.5% ] 0.39% | 103,328 | 4.1% |
[ 0.0% - 0.5% ] 0.43% | 144,779 | 3.5% |
[ 0.0% - 0.5% ] 0.47% | 71,733 | 8.7% |
[ 0.5% - 1.0% ] 0.52% | 115,518 | 4.3% |
[ 0.5% - 1.0% ] 0.56% | 74,263 | 5.1% |
[ 0.5% - 1.0% ] 0.60% | 263,904 | 3.7% |
[ 0.5% - 1.0% ] 0.64% | 102,710 | 2.4% |
[ 0.5% - 1.0% ] 0.70% | 109,765 | 3.8% |
[ 0.5% - 1.0% ] 0.71% | 67,325 | 5.9% |
[ 0.5% - 1.0% ] 0.78% | 454,777 | 4.2% |
[ 0.5% - 1.0% ] 0.82% | 23,358 | 6.9% |
[ 0.5% - 1.0% ] 0.84% | 151,355 | 3.2% |
[ 0.5% - 1.0% ] 0.89% | 78,354 | 3.9% |
[ 0.5% - 1.0% ] 0.98% | 40,323 | 2.8% |
[ 1.0% - 1.5% ] 1.00% | 50,693 | 4.4% |
[ 1.0% - 1.5% ] 1.05% | 11,576 | 3.6% |
[ 1.0% - 1.5% ] 1.09% | 38,517 | 4.0% |
[ 1.0% - 1.5% ] 1.12% | 22,864 | 4.0% |
[ 1.0% - 1.5% ] 1.17% | 30,508 | 3.0% |
[ 1.0% - 1.5% ] 1.21% | 77,415 | 3.9% |
[ 1.0% - 1.5% ] 1.27% | 54,362 | 2.8% |
[ 1.0% - 1.5% ] 1.33% | 27,739 | 5.6% |
[ 1.0% - 1.5% ] 1.37% | 11,138 | 2.0% |
[ 1.0% - 1.5% ] 1.45% | 45,038 | 6.4% |
[ 1.5% - 2.0% ] 1.57% | 27,423 | 3.2% |
[ 1.5% - 2.0% ] 1.63% | 45,392 | 3.9% |
[ 1.5% - 2.0% ] 1.67% | 48,494 | 2.2% |
[ 1.5% - 2.0% ] 1.70% | 18,802 | 3.3% |
[ 1.5% - 2.0% ] 1.77% | 35,493 | 4.6% |
[ 1.5% - 2.0% ] 1.84% | 41,560 | 5.4% |
[ 1.5% - 2.0% ] 1.87% | 10,110 | 10.0% |
[ 1.5% - 2.0% ] 1.95% | 8,543 | 6.1% |
[ 2.0% - 2.5% ] 2.14% | 63,439 | 3.4% |
[ 2.0% - 2.5% ] 2.26% | 1,507 | 2.9% |
[ 2.0% - 2.5% ] 2.28% | 1,576 | 6.1% |
[ 2.5% - 3.0% ] 2.61% | 8,571 | 3.8% |
[ 3.0% - 3.5% ] 3.39% | 3,627 | 1.8% |
[ 4.0% - 4.5% ] 4.14% | 9,571 | 2.4% |
[ 4.5% - 5.0% ] 4.56% | 548 | 9.9% |
[ 5.5% - 6.0% ] 5.98% | 5,065 | 2.0% |
[ 6.5% - 7.0% ] 6.68% | 853 | 7.7% |