Data pulled on 23 Oct 2026. 240 listings, 6 countries, 4 roles. Method, code and CSV at the end.

The short version

  • Singapore is the surprise. 17 of 40 Google Jobs listings (42.5%) showed a salary, the highest of the six markets. A study of 5.7 million postings on employer career sites found only 10% of Singapore postings showed pay in Feb–Apr 2026.
  • The US and Canada go the other way. Career sites show pay in about 6 of 10 postings there, but only 8 of 40 (20%) Google Jobs listings did in each country.
  • Pay shows up by role. Registered nurse listings showed pay 42% of the time, accountants and data analysts 27%, software engineers 12%.
  • One listing, many doors. A single Google Jobs listing links to between 2.6 (Singapore) and 5.0 (US) places to apply, so the list of apply links is a map of where jobs actually live.

Why look at Google Jobs

Google Jobs is a layer, not a destination. It gathers postings from employer sites and job boards and shows each one with every place you can apply. Huntr's 2026 analysis of its users' saved jobs makes the same point: it has no saves of its own because saves are credited to the site hosting each posting.

That makes it a useful lens for two questions: which portals actually carry the jobs in each country, and how much pay information survives on the way to the job seeker.

What we found

1. Pay disclosure: Singapore leads, the US and Canada trail

Market Listings with pay Share
Singapore 17 / 40 42.5%
United Kingdom 15 / 40 37.5%
UAE 11 / 40 27.5%
United States 8 / 40 20.0%
Canada 8 / 40 20.0%
India 5 / 40 12.5%
All markets 64 / 240 26.7%

Our sample is small, so read the gaps, not the decimals. And the comparison with the career-site study (grey bars) is indicative only: different method, different months, different populations.

2. Why Singapore? A lead worth checking

In Singapore, 9 of the 11 listings that offered MyCareersFuture as an apply link showed pay, against 8 of the other 29. For the 8 listings where MyCareersFuture was the first source Google named, all 8 showed a salary.

That fits the rules for the government portal. Singapore's Ministry of Manpower says that when an employer uses a MyCareersFuture ad to support an Employment Pass application, the salary must be "clear, specific, and consistent", visible to all candidates, and the maximum can be no more than twice the minimum.

We can't prove the rule is the cause: the sample is small and many listings on that portal are not for Employment Pass roles. But it is a testable explanation, and it points to something general: where a portal requires a salary range, Google Jobs carries it.

3. Pay depends on the job, not just the country

Role (across all 6 markets) Listings with pay
Registered Nurse 25 / 60 (41.7%)
Accountant 16 / 60 (26.7%)
Data Analyst 16 / 60 (26.7%)
Software Engineer 7 / 60 (11.7%)

Software engineering, the most searched role of the four, was the least likely to show a number.

4. Where the jobs live

Counting listings that offer at least one apply link on each portal (out of 40):

  • United States: LinkedIn 15, Monster 12, ZipRecruiter 12, Indeed 10, SimplyHired 10
  • Canada: LinkedIn 21, Workopolis 10, Indeed 10
  • United Kingdom: LinkedIn 18, Indeed 5, JobLeads 5
  • India: LinkedIn 17, Glassdoor 12, Shine 5, Foundit 5
  • UAE: Trabajo.org 12, JobLeads 9, LinkedIn 6, Naukrigulf 4
  • Singapore: MyCareersFuture 11, JobLeads 10, JobStreet 10, Trabajo.org 9, LinkedIn 6

LinkedIn is the most common apply link in the US, Canada, the UK and India. In Singapore and the UAE it is not: local and aggregator portals lead. For a Singapore job board or recruiter, that matters.

What you can do with this

  • Job boards and aggregators: check which portals feed Google Jobs in your market and where your listings are missing.
  • Salary benchmarking: know that pay is present in only about a quarter of listings overall, so plan for sparse data.
  • Recruiters and employers: if you want your role to carry a salary into Google Jobs, post it where a salary range is required or shown.
  • Researchers: repeat this monthly. A series would show whether pay-transparency rules move the numbers.

Limits

  • Small sample: 10 listings per role per country, one day. It shows where to look, not a statistically representative measure.
  • Google decides what to show: a missing salary can mean the employer didn't publish one, or Google didn't pick it up.
  • Salary strings are not always clean. One Singapore listing came back as "$90–$150 a month", which looks like an hourly rate. That is why we report shares, not average salaries.
  • Different comparison sources: the career-site figures come from another study with its own method.

Reproduce it 

from apify_client import ApifyClient client = ApifyClient("<APIFY_TOKEN>") run = client.actor("sondalabs/google-jobs-scraper").call(run_input={ "queries": ["Software Engineer", "Data Analyst", "Accountant", "Registered Nurse"], "country": "sg", # also: us, gb, in, ae, ca  "language": "en", "postedWithin": "month", "maxJobsPerSearch": 12, "outputFormat": "normalized", }) jobs = [j for j in client.dataset(run["defaultDatasetId"]).iterate_items() if j.get("type") == "job"] print(sum(1 for j in jobs if j.get("salary")) / len(jobs))

Google returned about 10 listings per search, so each country run delivered 40. The six runs cost under $0.60 in total. The raw data for all 240 listings is in the CSV that goes with this article.

Disclosure: I build the Google Jobs Scraper used here. The numbers come from its output and can be checked with the code above.

Sources