Zimbabwean vs Latvian Female Unemployment
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Zimbabwean
Latvian
Female Unemployment
Female Unemployment Comparison
Zimbabweans
Latvians
4.8%
FEMALE UNEMPLOYMENT
99.7/ 100
METRIC RATING
34th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
18th/ 347
METRIC RANK
Zimbabwean vs Latvian 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 220,201,927 people shows a weak positive correlation between the proportion of Latvians and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.215 and weighted average of 4.7%, a difference of 2.3%.

Female Unemployment Correlation Summary
Measurement | Zimbabwean | Latvian |
Minimum | 0.30% | 0.60% |
Maximum | 10.3% | 24.5% |
Range | 10.0% | 23.9% |
Mean | 4.5% | 5.3% |
Median | 4.5% | 4.3% |
Interquartile 25% (IQ1) | 3.1% | 3.4% |
Interquartile 75% (IQ3) | 5.7% | 5.8% |
Interquartile Range (IQR) | 2.6% | 2.4% |
Standard Deviation (Sample) | 2.0% | 4.3% |
Standard Deviation (Population) | 2.0% | 4.2% |
Demographics Similar to Zimbabweans and Latvians by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Zimbabweans are Czechoslovakian (4.8%, a difference of 0.030%), French Canadian (4.8%, a difference of 0.060%), Yugoslavian (4.8%, a difference of 0.21%), Slovak (4.8%, a difference of 0.54%), and Sudanese (4.8%, a difference of 0.68%). Similarly, the demographic groups most similar to Latvians are Polish (4.7%, a difference of 0.010%), Bulgarian (4.7%, a difference of 0.090%), Fijian (4.7%, a difference of 0.10%), European (4.7%, a difference of 0.12%), and Croatian (4.7%, a difference of 0.14%).
Demographics | Rating | Rank | Female Unemployment |
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% |
French Canadians | 99.7 /100 | #35 | Exceptional 4.8% |
Yugoslavians | 99.7 /100 | #36 | Exceptional 4.8% |