The Global Centre for Risk and Innovation (GCRI)
Hospitals, schools, utilities and public administrations must anticipate how many staff with which skills they will need, as demand, technology and demographics change. Shortages in critical services can become crises when shocks hit. This page sets out how workforce planning works, how supply and demand for skills are forecast and monitored, and what evidence serves the institutions and governments that plan their workforce.
GCRI · In development · service level R0
Workforce planning is the process of forecasting the staff and skills that organizations and sectors will need and planning how to meet those needs. Training takes years, retirement waves drain experience, professionals migrate, and shortages in critical services can cascade into crises when shocks hit.
For institutional workforce planning, in GCRI's spatial-intelligence reading, the map opens on population density, true-colour imagery and night lights with true colour from NASA GIBS, framed on Southeast Asia; every other NASA layer, live feed and forecast waits in the layer list.
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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For institutional workforce planning, in GCRI's spatial-intelligence reading, the map opens on population density, true-colour imagery and night lights with true colour from NASA GIBS, framed on Southeast Asia; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.
Layers and dates
The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.
Institutional workforce planning · Labour market A · Year 2
| Clerical support | 51,451 | 0.7 | Substitute | Data operations |
| Machine operators | 28,183 | 0.7 | Mixed | Robot maintenance |
| Care workers | 52,511 | 0.1 | Complement | Upskill |
| Analysts | 24,349 | 0.3 | Complement | Upskill |
Public and private sector capacity. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Doctors, nurses, engineers and teachers take years to train, so shortages cannot be fixed quickly and planning must look ahead.
Ageing workforces in public services face waves of retirement that drain experience faster than recruits can replace it.
Health and other professionals migrate to higher-paying countries, relieving shortages there and creating them in origin countries.
In emergencies, understaffed services lose capacity first, and burnout among remaining staff can drive further departures.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Skills forecasting | Projecting future supply of and demand for skills under stated assumptions. |
| Staff turnover | The rate at which employees leave an organization and must be replaced. |
| Succession planning | Preparing people to fill key roles when current holders leave. |
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Vacancy rate in critical occupations | percent of posts | quarterly | Employer and sector records | REPORTED |
| Workforce age profile | share aged fifty-five and over | annual | Workforce registers | OFFICIAL |
| Training places versus projected need | ratio | annual | Planning projections | FORECAST |
| Staff turnover | percent per year | annual | Human resources records | OBSERVED |
| Foreign-trained professionals | percent of workforce | annual | Professional registers | OFFICIAL |
| Health worker density | per ten thousand population | annual | National Health Workforce Accounts | OFFICIAL |
The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.
Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| WHO National Health Workforce Accounts | Health workforce stock and flows | Open, WHO terms of use |
| WHO Global Code of Practice on the International Recruitment of Health Personnel reporting | Ethical recruitment and migration data | Public, WHO terms of use |
| Cedefop skills forecasts | Skills supply and demand projections in Europe | Public, EU terms |
| Public service workforce statistics | Size, age and turnover of public workforces | Public records, licence per government |
| UNESCO data on teachers | Teacher numbers and qualifications | Open, CC BY-SA 3.0 IGO |
Future of Work and Skills prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Health, education and public service ministries | How many professionals to train and recruit | Projections; turnover analyses |
| Institutions and employers | How to retain staff and plan succession | Turnover and age evidence |
| Governments in origin and destination countries | How to manage professional migration ethically | Migration evidence |
Training skilled workers takes years, so supply responds slowly to demand. Ageing workforces in sectors such as health, utilities and public administration create waves of retirement. Public sector pay structures may not compete for scarce skills such as digital, engineering and data roles. Critical national missions, such as an energy transition or a disaster recovery programme, can require skills faster than systems can produce them.
Planning often fails because it extrapolates past trends, works in sector silos and is not linked to education provision or funding decisions.
Projecting workforce stock and needs under scenarios, using economics and development economics. Projections are sensitive to assumptions about technology and policy.
Defining the competencies roles require and assessing the current workforce against them.
Testing workforce plans against different futures, using econometrics and expert judgement. Scenarios are not forecasts.
Reviewing critical roles, single points of failure and succession.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.