Zimbabwean vs English Female Unemployment
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Zimbabwean
English
Female Unemployment
Female Unemployment Comparison
Zimbabweans
English
4.8%
FEMALE UNEMPLOYMENT
99.7/ 100
METRIC RATING
34th/ 347
METRIC RANK
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
15th/ 347
METRIC RANK
Zimbabwean vs English Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 69,190,722 people shows no correlation between the proportion of Zimbabweans and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.033 and weighted average of 4.8%. 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 3.4%.
Female Unemployment Correlation Summary
| Measurement | Zimbabwean | English |
| Minimum | 0.30% | 2.5% |
| Maximum | 10.3% | 100.0% |
| Range | 10.0% | 97.5% |
| Mean | 4.5% | 12.9% |
| Median | 4.5% | 5.0% |
| Interquartile 25% (IQ1) | 3.1% | 4.1% |
| Interquartile 75% (IQ3) | 5.7% | 10.5% |
| Interquartile Range (IQR) | 2.6% | 6.4% |
| Standard Deviation (Sample) | 2.0% | 19.0% |
| Standard Deviation (Population) | 2.0% | 18.9% |
Demographics Similar to Zimbabweans and English by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Zimbabweans are Czechoslovakian (4.8%, a difference of 0.030%), Slovak (4.8%, a difference of 0.54%), Sudanese (4.8%, a difference of 0.68%), Lithuanian (4.7%, a difference of 0.96%), and Irish (4.7%, a difference of 1.1%). 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%), Latvian (4.7%, a difference of 1.0%), and Polish (4.7%, a difference of 1.0%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| Immigrants | India | 99.9 /100 | #25 | Exceptional 4.7% |
| Immigrants | Bosnia and Herzegovina | 99.9 /100 | #26 | Exceptional 4.7% |
| British | 99.9 /100 | #27 | Exceptional 4.7% |
| Irish | 99.9 /100 | #28 | Exceptional 4.7% |
| Cypriots | 99.9 /100 | #29 | Exceptional 4.7% |
| Lithuanians | 99.8 /100 | #30 | Exceptional 4.7% |
| Sudanese | 99.8 /100 | #31 | Exceptional 4.8% |
| Slovaks | 99.8 /100 | #32 | Exceptional 4.8% |
| Czechoslovakians | 99.7 /100 | #33 | Exceptional 4.8% |
| Zimbabweans | 99.7 /100 | #34 | Exceptional 4.8% |