Supply adequacy represents the extent to which a location has enough qualified candidates to support the number of positions you’re hoping to fill.
What can I use supply adequacy for?
Supply adequacy can help you choose between otherwise similar locations. If one location has a supply adequacy of “plentiful” compared to another with a supply adequacy of “adequate,” and if having a more robust talent pipeline is important to your business, then the “plentiful” location may be the better choice.
Acquire: Where do you get this data?
Supply adequacy is derived from supply data, which is based on results from national government censuses and labor market surveys. Learn more about our supply data.
Organize: How do you prepare this data for analysis?
Census and labor market data must be processed and standardized before it can be used to calculate supply adequacy. Read more about how we prepare our supply data for analysis.
Analyze: How do you calculate supply adequacy?
We calculate supply adequacy by dividing the estimated number of employed people in the workforce that match your Talent Profile by the number of people you entered in the headcount filter for that Talent Profile.
The headcount filter is located underneath the filter icon in the toolbelt above the results table. By default, the value for each Talent Profile is set to 10. Unless this value is changed, supply adequacy is calculated based on the desire to hire 10 people for each Talent Profile in your search.
Deliver: How do you represent supply adequacy?
We represent supply adequacy as one of four categories:
Insufficient (if candidates per position is < 7)
Borderline (if candidates per position is < 20)
Adequate (if candidates per position is < 75)
Plentiful (if candidates per position is > 75)
More about supply adequacy:
What countries do you have supply adequacy data for?
We provide supply data for the following countries:
- New Zealand
- South Africa
- United Kingdom
- United States
Why isn’t supply data available for my country?
In many countries, government data simply is not available. In others, the data is available, but the coverage within the country is uneven, or the data itself is unreliable. In these instances, we prefer not to provide data at all than to provide data that doesn't meet our standards.