Indian (Asian) vs Zimbabwean Female Poverty
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Indian (Asian)
Zimbabwean
Female Poverty
Female Poverty Comparison
Indians (Asian)
Zimbabweans
12.2%
FEMALE POVERTY
97.9/ 100
METRIC RATING
65th/ 347
METRIC RANK
12.3%
FEMALE POVERTY
97.5/ 100
METRIC RATING
73rd/ 347
METRIC RANK
Indian (Asian) vs Zimbabwean Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 494,574,283 people shows no correlation between the proportion of Indians (Asian) and poverty level among females in the United States with a correlation coefficient (R) of 0.030 and weighted average of 12.2%. Similarly, the statistical analysis conducted on geographies consisting of 69,185,827 people shows a weak positive correlation between the proportion of Zimbabweans and poverty level among females in the United States with a correlation coefficient (R) of 0.277 and weighted average of 12.3%, a difference of 0.49%.
Female Poverty Correlation Summary
Measurement | Indian (Asian) | Zimbabwean |
Minimum | 2.4% | 2.2% |
Maximum | 21.9% | 21.7% |
Range | 19.5% | 19.5% |
Mean | 11.0% | 10.3% |
Median | 10.7% | 9.7% |
Interquartile 25% (IQ1) | 8.7% | 5.8% |
Interquartile 75% (IQ3) | 12.6% | 13.6% |
Interquartile Range (IQR) | 3.9% | 7.8% |
Standard Deviation (Sample) | 3.9% | 5.3% |
Standard Deviation (Population) | 3.9% | 5.2% |
Demographics Similar to Indians (Asian) and Zimbabweans by Female Poverty
In terms of female poverty, the demographic groups most similar to Indians (Asian) are Austrian (12.2%, a difference of 0.010%), German (12.2%, a difference of 0.030%), Ukrainian (12.2%, a difference of 0.060%), Immigrants from Italy (12.2%, a difference of 0.14%), and Immigrants from Eastern Asia (12.2%, a difference of 0.14%). Similarly, the demographic groups most similar to Zimbabweans are Immigrants from Canada (12.3%, a difference of 0.010%), Cambodian (12.2%, a difference of 0.020%), Carpatho Rusyn (12.2%, a difference of 0.050%), European (12.3%, a difference of 0.13%), and Immigrants from Belgium (12.2%, a difference of 0.18%).
Demographics | Rating | Rank | Female Poverty |
Immigrants | Europe | 98.2 /100 | #59 | Exceptional 12.1% |
Immigrants | Australia | 98.1 /100 | #60 | Exceptional 12.2% |
Immigrants | Asia | 98.1 /100 | #61 | Exceptional 12.2% |
Immigrants | Italy | 98.0 /100 | #62 | Exceptional 12.2% |
Ukrainians | 98.0 /100 | #63 | Exceptional 12.2% |
Germans | 98.0 /100 | #64 | Exceptional 12.2% |
Indians (Asian) | 97.9 /100 | #65 | Exceptional 12.2% |
Austrians | 97.9 /100 | #66 | Exceptional 12.2% |
Immigrants | Eastern Asia | 97.8 /100 | #67 | Exceptional 12.2% |
Immigrants | Netherlands | 97.8 /100 | #68 | Exceptional 12.2% |
Swiss | 97.7 /100 | #69 | Exceptional 12.2% |
Immigrants | Belgium | 97.7 /100 | #70 | Exceptional 12.2% |
Carpatho Rusyns | 97.6 /100 | #71 | Exceptional 12.2% |
Cambodians | 97.5 /100 | #72 | Exceptional 12.2% |
Zimbabweans | 97.5 /100 | #73 | Exceptional 12.3% |
Immigrants | Canada | 97.5 /100 | #74 | Exceptional 12.3% |
Europeans | 97.4 /100 | #75 | Exceptional 12.3% |
Immigrants | Eastern Europe | 97.2 /100 | #76 | Exceptional 12.3% |
Serbians | 97.2 /100 | #77 | Exceptional 12.3% |
Egyptians | 97.2 /100 | #78 | Exceptional 12.3% |
Immigrants | North America | 97.1 /100 | #79 | Exceptional 12.3% |