Ugandan Unemployment Among Ages 60 to 64 years
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Unemployment Among Ages 60 to 64 years
Ugandan Unemployment Among Ages 60 to 64 years
4.9%
UNEMPLOYMENT | 60 TO 64 YEARS
10.5/ 100
METRIC RATING
221st/ 347
METRIC RANK
Ugandan Unemployment Among Ages 60 to 64 years Correlation Chart
The statistical analysis conducted on geographies consisting of 91,721,696 people shows a weak positive correlation between the proportion of Ugandans and unemployment rate among population between the ages 60 and 64 in the United States with a correlation coefficient (R) of 0.295 and weighted average of 4.9%. On average, for every 1% (one percent) increase in Ugandans within a typical geography, there is an increase of 1.0% in unemployment rate among population between the ages 60 and 64.
It is essential to understand that the correlation between the percentage of Ugandans and unemployment rate among population between the ages 60 and 64 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Ugandans influences an upward or downward trend in the level of unemployment rate among population between the ages 60 and 64 within an area, or if Ugandans simply ended up residing in those areas with higher or lower levels of unemployment rate among population between the ages 60 and 64 due to other factors.
Demographics Similar to Ugandans by Unemployment Among Ages 60 to 64 years
In terms of unemployment among ages 60 to 64 years, the demographic groups most similar to Ugandans are Brazilian (5.0%, a difference of 0.040%), Crow (5.0%, a difference of 0.080%), Ottawa (4.9%, a difference of 0.10%), Immigrants from Brazil (4.9%, a difference of 0.11%), and Immigrants from Singapore (4.9%, a difference of 0.13%).
| Demographics | Rating | Rank | Unemployment Among Ages 60 to 64 years |
| Immigrants from Russia | 13.7 /100 | #214 | Poor 4.9% |
| Immigrants from South Eastern Asia | 13.1 /100 | #215 | Poor 4.9% |
| Cajuns | 12.3 /100 | #216 | Poor 4.9% |
| Koreans | 12.2 /100 | #217 | Poor 4.9% |
| Immigrants from Singapore | 12.0 /100 | #218 | Poor 4.9% |
| Immigrants from Brazil | 11.7 /100 | #219 | Poor 4.9% |
| Ottawa | 11.6 /100 | #220 | Poor 4.9% |
| Ugandans | 10.5 /100 | #221 | Poor 4.9% |
| Brazilians | 10.1 /100 | #222 | Poor 5.0% |
| Crow | 9.7 /100 | #223 | Tragic 5.0% |
| Immigrants from Cameroon | 8.5 /100 | #224 | Tragic 5.0% |
| Immigrants from Ireland | 7.2 /100 | #225 | Tragic 5.0% |
| Immigrants from Chile | 6.8 /100 | #226 | Tragic 5.0% |
| Nigerians | 6.8 /100 | #227 | Tragic 5.0% |
| Immigrants from Belarus | 6.4 /100 | #228 | Tragic 5.0% |
Ugandan Unemployment Among Ages 60 to 64 years Correlation Summary
| Measurement | Ugandan Data | Unemployment Among Ages 60 to 64 years Data |
| Minimum | 0.016% | 2.2% |
| Maximum | 4.6% | 18.1% |
| Range | 4.6% | 16.0% |
| Mean | 1.2% | 6.4% |
| Median | 0.79% | 4.9% |
| Interquartile 25% (IQ1) | 0.39% | 4.2% |
| Interquartile 75% (IQ3) | 1.5% | 7.4% |
| Interquartile Range (IQR) | 1.1% | 3.2% |
| Standard Deviation (Sample) | 1.2% | 3.9% |
| Standard Deviation (Population) | 1.1% | 3.8% |
Correlation Details
| Ugandan Percentile | Sample Size | Unemployment Among Ages 60 to 64 years |
[ 0.0% - 0.5% ] 0.016% | 80,666,232 | 4.7% |
[ 0.0% - 0.5% ] 0.10% | 5,809,025 | 4.2% |
[ 0.0% - 0.5% ] 0.19% | 1,917,935 | 4.1% |
[ 0.0% - 0.5% ] 0.26% | 1,182,906 | 5.8% |
[ 0.0% - 0.5% ] 0.35% | 489,509 | 4.9% |
[ 0.0% - 0.5% ] 0.44% | 513,820 | 4.9% |
[ 0.5% - 1.0% ] 0.50% | 204,001 | 4.9% |
[ 0.5% - 1.0% ] 0.57% | 183,971 | 5.1% |
[ 0.5% - 1.0% ] 0.64% | 248,572 | 7.5% |
[ 0.5% - 1.0% ] 0.72% | 77,871 | 6.3% |
[ 0.5% - 1.0% ] 0.79% | 104,227 | 5.8% |
[ 0.5% - 1.0% ] 0.90% | 32,219 | 4.4% |
[ 1.0% - 1.5% ] 1.09% | 130,286 | 3.8% |
[ 1.0% - 1.5% ] 1.18% | 27,137 | 18.1% |
[ 1.0% - 1.5% ] 1.26% | 13,516 | 8.0% |
[ 1.0% - 1.5% ] 1.35% | 44,893 | 2.2% |
[ 1.5% - 2.0% ] 1.60% | 5,682 | 4.2% |
[ 2.0% - 2.5% ] 2.42% | 8,359 | 11.0% |
[ 2.5% - 3.0% ] 2.86% | 315 | 15.0% |
[ 2.5% - 3.0% ] 2.96% | 34,536 | 2.6% |
[ 4.5% - 5.0% ] 4.61% | 26,684 | 7.3% |