Belgian vs English Female Unemployment
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Belgian
English
Female Unemployment
Female Unemployment Comparison
Belgians
English
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
13th/ 347
METRIC RANK
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
15th/ 347
METRIC RANK
Belgian vs English Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 353,426,592 people shows a mild negative correlation between the proportion of Belgians and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.366 and weighted average of 4.6%. Similarly, the statistical analysis conducted on geographies consisting of 563,002,519 people shows a significant positive correlation between the proportion of English and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.647 and weighted average of 4.6%, a difference of 0.79%.
Female Unemployment Correlation Summary
| Measurement | Belgian | English |
| Minimum | 0.90% | 2.5% |
| Maximum | 6.8% | 100.0% |
| Range | 5.9% | 97.5% |
| Mean | 3.6% | 12.9% |
| Median | 3.5% | 5.0% |
| Interquartile 25% (IQ1) | 2.4% | 4.1% |
| Interquartile 75% (IQ3) | 4.4% | 10.5% |
| Interquartile Range (IQR) | 2.0% | 6.4% |
| Standard Deviation (Sample) | 1.5% | 19.0% |
| Standard Deviation (Population) | 1.4% | 18.9% |
Demographics Similar to Belgians and English by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Belgians are Dutch (4.6%, a difference of 0.15%), Finnish (4.6%, a difference of 0.59%), Scandinavian (4.6%, a difference of 0.75%), Swiss (4.6%, a difference of 0.86%), and Carpatho Rusyn (4.7%, a difference of 1.7%). Similarly, the demographic groups most similar to English are Finnish (4.6%, a difference of 0.20%), Carpatho Rusyn (4.7%, a difference of 0.85%), Croatian (4.7%, a difference of 0.87%), Dutch (4.6%, a difference of 0.94%), and Latvian (4.7%, a difference of 1.0%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| Carpatho Rusyns | 99.9 /100 | #16 | Exceptional 4.7% |
| Croatians | 99.9 /100 | #17 | Exceptional 4.7% |
| Latvians | 99.9 /100 | #18 | Exceptional 4.7% |
| Poles | 99.9 /100 | #19 | Exceptional 4.7% |
| Bulgarians | 99.9 /100 | #20 | Exceptional 4.7% |
| Fijians | 99.9 /100 | #21 | Exceptional 4.7% |
| Europeans | 99.9 /100 | #22 | Exceptional 4.7% |
| Scottish | 99.9 /100 | #23 | Exceptional 4.7% |
| Welsh | 99.9 /100 | #24 | Exceptional 4.7% |