Immigrants from Congo Unemployment Among Seniors over 65 years
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Immigrants from Congo
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Unemployment Among Seniors over 65 years
Immigrants from Congo Unemployment Among Seniors over 65 years
4.5%
UNEMPLOYMENT | SENIORS > 65
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
Immigrants from Congo Unemployment Among Seniors over 65 years Correlation Chart
The statistical analysis conducted on geographies consisting of 89,152,491 people shows no correlation between the proportion of Immigrants from Congo and unemployment rate amomg seniors over the age of 65 in the United States with a correlation coefficient (R) of -0.043 and weighted average of 4.5%. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is a decrease of 0.19% in unemployment rate amomg seniors over the age of 65.
It is essential to understand that the correlation between the percentage of Immigrants from Congo and unemployment rate amomg seniors over the age of 65 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Congo influences an upward or downward trend in the level of unemployment rate amomg seniors over the age of 65 within an area, or if Immigrants from Congo simply ended up residing in those areas with higher or lower levels of unemployment rate amomg seniors over the age of 65 due to other factors.
Demographics Similar to Immigrants from Congo by Unemployment Among Seniors over 65 years
In terms of unemployment among seniors over 65 years, the demographic groups most similar to Immigrants from Congo are Tsimshian (4.5%, a difference of 0.59%), Immigrants from Cuba (4.5%, a difference of 0.78%), Indonesian (4.5%, a difference of 1.1%), Immigrants from Zaire (4.5%, a difference of 1.1%), and Comanche (4.6%, a difference of 1.5%).
Demographics | Rating | Rank | Unemployment Among Seniors over 65 years |
Chinese | 100.0 /100 | #1 | Exceptional 4.2% |
Hmong | 100.0 /100 | #2 | Exceptional 4.2% |
Fijians | 100.0 /100 | #3 | Exceptional 4.2% |
Sudanese | 100.0 /100 | #4 | Exceptional 4.4% |
Chickasaw | 100.0 /100 | #5 | Exceptional 4.4% |
Immigrants from Cuba | 100.0 /100 | #6 | Exceptional 4.5% |
Immigrants from Congo | 100.0 /100 | #7 | Exceptional 4.5% |
Tsimshian | 100.0 /100 | #8 | Exceptional 4.5% |
Indonesians | 100.0 /100 | #9 | Exceptional 4.5% |
Immigrants from Zaire | 100.0 /100 | #10 | Exceptional 4.5% |
Comanche | 100.0 /100 | #11 | Exceptional 4.6% |
Osage | 100.0 /100 | #12 | Exceptional 4.6% |
Cubans | 100.0 /100 | #13 | Exceptional 4.6% |
Menominee | 100.0 /100 | #14 | Exceptional 4.6% |
Lumbee | 100.0 /100 | #15 | Exceptional 4.6% |
Immigrants from Congo Unemployment Among Seniors over 65 years Correlation Summary
Measurement | Immigrants from Congo Data | Unemployment Among Seniors over 65 years Data |
Minimum | 0.0062% | 0.70% |
Maximum | 1.4% | 8.8% |
Range | 1.4% | 8.1% |
Mean | 0.56% | 4.2% |
Median | 0.48% | 4.2% |
Interquartile 25% (IQ1) | 0.24% | 3.1% |
Interquartile 75% (IQ3) | 0.78% | 5.2% |
Interquartile Range (IQR) | 0.54% | 2.1% |
Standard Deviation (Sample) | 0.39% | 1.7% |
Standard Deviation (Population) | 0.39% | 1.7% |
Correlation Details
Immigrants from Congo Percentile | Sample Size | Unemployment Among Seniors over 65 years |
[ 0.0% - 0.5% ] 0.0062% | 37,378,032 | 5.2% |
[ 0.0% - 0.5% ] 0.023% | 14,039,425 | 4.7% |
[ 0.0% - 0.5% ] 0.036% | 7,518,368 | 3.9% |
[ 0.0% - 0.5% ] 0.054% | 7,327,780 | 4.6% |
[ 0.0% - 0.5% ] 0.069% | 3,412,590 | 4.6% |
[ 0.0% - 0.5% ] 0.084% | 3,071,761 | 4.5% |
[ 0.0% - 0.5% ] 0.099% | 1,274,952 | 5.4% |
[ 0.0% - 0.5% ] 0.12% | 1,276,674 | 4.5% |
[ 0.0% - 0.5% ] 0.13% | 569,810 | 5.5% |
[ 0.0% - 0.5% ] 0.14% | 2,336,142 | 4.0% |
[ 0.0% - 0.5% ] 0.16% | 2,343,986 | 4.0% |
[ 0.0% - 0.5% ] 0.18% | 311,548 | 6.8% |
[ 0.0% - 0.5% ] 0.20% | 210,558 | 2.5% |
[ 0.0% - 0.5% ] 0.21% | 1,864,094 | 4.0% |
[ 0.0% - 0.5% ] 0.22% | 372,077 | 3.7% |
[ 0.0% - 0.5% ] 0.24% | 699,819 | 4.0% |
[ 0.0% - 0.5% ] 0.25% | 299,320 | 3.7% |
[ 0.0% - 0.5% ] 0.27% | 522,949 | 5.0% |
[ 0.0% - 0.5% ] 0.28% | 510,309 | 4.6% |
[ 0.0% - 0.5% ] 0.30% | 378,411 | 5.8% |
[ 0.0% - 0.5% ] 0.31% | 367,422 | 5.7% |
[ 0.0% - 0.5% ] 0.33% | 204,522 | 3.9% |
[ 0.0% - 0.5% ] 0.35% | 286,907 | 5.7% |
[ 0.0% - 0.5% ] 0.36% | 137,344 | 4.9% |
[ 0.0% - 0.5% ] 0.38% | 131,778 | 4.6% |
[ 0.0% - 0.5% ] 0.40% | 190,680 | 5.9% |
[ 0.0% - 0.5% ] 0.41% | 66,808 | 4.1% |
[ 0.0% - 0.5% ] 0.42% | 86,402 | 2.6% |
[ 0.0% - 0.5% ] 0.44% | 35,466 | 3.3% |
[ 0.0% - 0.5% ] 0.45% | 15,744 | 1.3% |
[ 0.0% - 0.5% ] 0.47% | 126,356 | 2.5% |
[ 0.0% - 0.5% ] 0.48% | 169,242 | 4.2% |
[ 0.5% - 1.0% ] 0.50% | 7,766 | 1.7% |
[ 0.5% - 1.0% ] 0.51% | 18,467 | 2.1% |
[ 0.5% - 1.0% ] 0.53% | 125,299 | 5.2% |
[ 0.5% - 1.0% ] 0.55% | 22,730 | 3.5% |
[ 0.5% - 1.0% ] 0.56% | 94,019 | 2.0% |
[ 0.5% - 1.0% ] 0.58% | 27,652 | 5.1% |
[ 0.5% - 1.0% ] 0.60% | 38,225 | 4.0% |
[ 0.5% - 1.0% ] 0.62% | 62,701 | 4.9% |
[ 0.5% - 1.0% ] 0.64% | 112,013 | 7.1% |
[ 0.5% - 1.0% ] 0.67% | 69,456 | 0.70% |
[ 0.5% - 1.0% ] 0.68% | 88,307 | 5.1% |
[ 0.5% - 1.0% ] 0.70% | 63,508 | 7.7% |
[ 0.5% - 1.0% ] 0.74% | 26,408 | 1.6% |
[ 0.5% - 1.0% ] 0.75% | 60,937 | 6.0% |
[ 0.5% - 1.0% ] 0.77% | 69,514 | 4.2% |
[ 0.5% - 1.0% ] 0.78% | 82,734 | 1.7% |
[ 0.5% - 1.0% ] 0.86% | 92,643 | 6.8% |
[ 0.5% - 1.0% ] 0.88% | 47,154 | 3.1% |
[ 0.5% - 1.0% ] 0.89% | 18,291 | 0.90% |
[ 0.5% - 1.0% ] 0.90% | 32,692 | 1.2% |
[ 0.5% - 1.0% ] 0.96% | 90,227 | 7.2% |
[ 1.0% - 1.5% ] 1.00% | 39,704 | 3.7% |
[ 1.0% - 1.5% ] 1.03% | 64,713 | 5.2% |
[ 1.0% - 1.5% ] 1.18% | 54,017 | 5.6% |
[ 1.0% - 1.5% ] 1.25% | 26,709 | 8.8% |
[ 1.0% - 1.5% ] 1.26% | 80,672 | 2.7% |
[ 1.0% - 1.5% ] 1.28% | 24,892 | 6.8% |
[ 1.0% - 1.5% ] 1.34% | 14,363 | 3.6% |
[ 1.0% - 1.5% ] 1.40% | 38,441 | 2.8% |
[ 1.0% - 1.5% ] 1.41% | 13,295 | 3.0% |
[ 1.0% - 1.5% ] 1.43% | 7,666 | 3.6% |