All Collections
Labour Insight
Singapore Data Coverage and Comprehensiveness
Singapore Data Coverage and Comprehensiveness

What is the quality of your Singapore skill data as compared to other geographies? How do you measure this?

Updated over a week ago

When evaluating skill quality, Lightcast looks at two things:

  1. Coverage—does our data represent the labour market?

  2. Comprehensiveness—do we have comprehensive skills data?

Coverage

To ensure coverage and representativeness in its data, Lightcast takes measures to ensure its data collection is representative of different part of the economy. We seek out large employers, government employers, important industry employers, specific sites that concentrate smaller employers, education providers, non-profits, and several other segments. These strategies are tuned to the unique nature of each country’s labour market.

Notwithstanding the general limitations of online job postings (i.e. not all types of jobs are posted online, some industries tend not to post online, and not all hiring is done online), our data in Singapore (SGP) provides sufficient depth of coverage to be able to analyze skills and trends within occupations and industries in SGP. One metric we use to track this is the ratio of unique vacancies in our data to the size of the labour force in SGP. Using data for 2019, this ratio is about 0.125, meaning we had data about one vacancy for every 8 people who participate in the labour force. If we do some simplified calculations (by assuming the size of the labour market isn’t changing) and assume that the average tenure is 2.5 years, that means we have data for one out of every 3.2 turnovers in SGP. It is worth noting that this ratio is structurally different by industry because of some of the limitations in using online job vacancies mentioned earlier and the turnover ratios in those industries.

Comprehensiveness

Once we have established that the data is large enough to be representative, we need to evaluate skills data to ensure it provides good recall and precision and is therefore suitable for analysis. Singapore’s market behavior is conducive to skills analysis because job postings are fairly flush with skills. Singapore averages approximately 7.9 skills per posting in the past 12 months, right in the middle of the pack when compared with Lightcast's other geographies.

If we analyze the distribution by industry, we see low skill industries with a lower number of skills – agriculture, fishing, domestic help all averaging less than 4 skills per posting – and higher skilled industries with higher numbers of skills per posting – information, communication, finance, insurance all having more than 12 skills per job posting. As expected, these same distributional effects can be seen in low and high skill occupations.

Did this answer your question?