Official Statistics Can be Grossly Misleading

upepo

Elder Lister
Most country statistics, even from reputable agencies, can be grossly misleading if accepted at face value. Often, such statistics are collected using parameters that don't make much sense in the target population. For example, if a family owns a briefcase-sized solar panel with two bulbs in the homestead, that family is classified as having off-grid electricity. In practical sense, however, such a family cannot make much difference in their lives using the solar electricity. It is the reality that many statistics do not make sense when compared with the real situation on the ground. For example, look at the unemployment levels in the graph below adapted from the Kenya Bureau of Statistics.

Kenya Unemployment Rate

1669614444712.png

Why do these figures seem unrealistically low? The answer lies in the definition of unemployment; "In Kenya, the unemployment rate measures the number of people actively looking for a job as a percentage of the labour force." This means an unemployed individual who is not looking for a job is not considered unemployed.
How about the minimum wage? The graph below shows the minimum wages between 2012 and 2022.

Kenya Minimum Wages

1669614814129.png

Again, these figures do not apply for the majority of the population. Lesson; you ought to exercise care when quoting figures from the Kenya Bureau of Statistics. There is always space for moderation.
 

DeepInYourMind

Elder Lister
Most country statistics, even from reputable agencies, can be grossly misleading if accepted at face value. Often, such statistics are collected using parameters that don't make much sense in the target population. For example, if a family owns a briefcase-sized solar panel with two bulbs in the homestead, that family is classified as having off-grid electricity. In practical sense, however, such a family cannot make much difference in their lives using the solar electricity. It is the reality that many statistics do not make sense when compared with the real situation on the ground. For example, look at the unemployment levels in the graph below adapted from the Kenya Bureau of Statistics.

Kenya Unemployment Rate

View attachment 80902
Why do these figures seem unrealistically low? The answer lies in the definition of unemployment; "In Kenya, the unemployment rate measures the number of people actively looking for a job as a percentage of the labour force." This means an unemployed individual who is not looking for a job is not considered unemployed.
How about the minimum wage? The graph below shows the minimum wages between 2012 and 2022.

Kenya Minimum Wages

View attachment 80903
Again, these figures do not apply for the majority of the population. Lesson; you ought to exercise care when quoting figures from the Kenya Bureau of Statistics. There is always space for moderation.
How open is KBS with its datasets? Would you know?
 
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