Zimbabwe Labour Market Intelligence
Zimbabwe Labour Market Intelligence
Every vacancy, employer, skill, salary, place and workforce event collected here is treated as an observation with a source, a date and a trust score. Vacancy data measures advertised demand. It is not a measure of employment or of unemployment in Zimbabwe.
Prepared 5 October 2026
Industrial Psychology Consultants (Pvt) Ltd
Maximising Returns on Human Capital
Zimbabwe Labour Market Intelligence
Every vacancy, employer, skill, salary, place and workforce event collected here is treated as an observation with a source, a date and a trust score. Vacancy data measures advertised demand. It is not a measure of employment or of unemployment in Zimbabwe.
Specification ZW-LMI-MASTER version 1.0. Method version 2026.07.1.
BCoverage grade362
Active vacancies
1,055
New vacancy flow
Last 30 days
915
Employer participation
Lower bound
0.1%
Pay transparency
Last 90 days
Observatory
Ten dashboards covering the national picture, provinces and towns, sectors and occupations, skills, qualifications, pay, work patterns, supply against demand, employer momentum and coverage itself.
OpenCareers
A page for every occupation, skill, career path, qualification and sector, built from what employers actually wrote in their adverts.
OpenWorkforce events
36 verified events on record, each one carrying a link to the evidence that supports it.
OpenEmployment law
29 propositions drawn from the Labour Act and the instruments around it, each tied to its source and its effective date.
OpenMethodology
The metric dictionary, the source register, the trust rules and a plain statement of what this data cannot tell you.
OpenEvery public analytics page
All of these are free and open to anybody, and they carry no personal detail. What a registered employer or job seeker sees inside their own account is a different and private thing.
Jobs analytics
Where the country is hiring, live, by sector, province, town, family and level.
Employer analytics
Who is advertising, how hard, and how far they have proved who they are.
Job seeker analytics
Everybody registered for work, by field, level, province and skill, and how crowded each field is.
Hire Me Now analytics
The pool of people quietly ready to move, by field, level and place.
Diaspora analytics
Zimbabweans abroad who want to come home, by country, field and level.
Attachment analytics
Which programmes actually lead to a workplace attachment, and how long the wait is.
Graduate analytics
Which qualifications lead to a first job, at which institutions, and how fast.
Board analytics
Who is willing to sit on a board, what they are strong on, and which committees the country is short of.
How a vacancy becomes data
A vacancy is first recorded as an observation with the exact text seen, the address it came from, the time it was retrieved and a fingerprint of its content. The observation is tied to a registered source that has a named owner, a stated collection method and a permission basis. Only then is it treated as a job. If the same vacancy is later republished, the fingerprint stops its age from resetting. If a verified employer advertises the same role directly on this platform, the external record is superseded rather than deleted, so the history stays intact.
36,402
Observations recorded
1,716
Records held
27
Placed by an employer here
15
Superseded or discovery only
What this platform will not do
It will not present advertised demand as employment. It will not combine United States dollar and Zimbabwe Gold figures. It will not publish a figure computed from a group too small to protect the people in it. It will not publish a legal proposition that has not been checked against its source and reviewed by someone qualified in Zimbabwe. It will not track the appointment, departure or dismissal of chief executives, which is outside the purpose of a labour market observatory.