From 2019 to 2024, national employment increased 15.9% while real GVA increased 9.2%. The 2022–2024 margin was less employment-intensive at 0.78.
Published research2008–2025 evidence · Version 1.0 · 12 August 2026
Output · jobs · distribution
Employment grew.
The gains were uneven.
Employment rose faster than inflation-adjusted sector output between 2019 and 2024. Sectors followed different paths, and the gains did not reach every group or district equally.
Employment+15.9%83,977 → 97,354
versusReal gross value added (GVA)Real gross value added (real GVA)The inflation-adjusted value produced by a sector after subtracting the goods and services it uses.Hover or focus to preview · tap to pin · Escape closes+9.2%EC$4.82bn → EC$5.27bn
Endpoint jobs-to-output ratio Endpoint jobs-to-output ratioBetween 2019 and 2024, employment’s proportional change was 1.67 times real GVA’s proportional change.Hover or focus to preview · tap to pin · Escape closes 1.672019–2024 endpoint comparison
Matched-sector jobs added14,06316 sectors · 2019–2024
Output-scale component57.4%exact accounting split
Jobs linked arithmetically to changing employment per unit of output42.6%exact accounting split
Common jobs-to-output relationship across sectorsNot reliableestimate −0.10 · 95% interval −0.67 to 0.47
The evidence in one minute
National employment and output recovered, but sectors followed different paths.
The annual, quarterly and sensitivity estimates were too uncertain to rule out no common relationship. The evidence therefore does not support one elasticity for every sector.
Of 14,063 matched-sector jobs, about 57% aligned with output scale and 43% with changing employment per unit of GVA. The split is accounting, not causation.
Women gained jobs but faced a much higher unemployment rate. Older workers accounted for most measured age gains. Youth employment was flat and district unemployment still varied widely.
Sixteen matched sectors
Select a sector to compare its 2019–2024 changes in jobs and output.
Select a point or row to inspect the exact 2019–2024 change and its accounting split.
Employment change →Real GVA change →Output + jobsJobs without outputOutput without jobsBoth down
Axes show percentage change between the observed 2019 and 2024 endpoints.
Who shared in the gains
Employment rose, but gains differed by sex, age, occupation and district.
Averages across several years reduce reliance on one survey round. The published tables do not include uncertainty margins for every subgroup.
Women accounted for 50.7% of the employment increase.
+8,225women employedbut16.9%female unemployment in 2025
Men’s unemployment was 8.4%. Female labour-force entry accelerated faster than employment absorption, so more women worked while still more entered or re-entered unemployment.
Workers 55 and older accounted for 59.1% of measured age-group gains.
- 15–24
- −74 effectively flat
- 25–54
- +5,252 prime-age gain
- 55+
- +7,470 largest gain
Youth unemployment was 20.0% in 2025. Longer working lives and successful retention do not by themselves improve entry for school leavers.
Service and sales led the measured gain.
2016, 2017 and 2019 mean vs 2023–2025 meanService and sales+4,642
Professionals+2,513
Clerical support+2,235
Technicians+1,934
Elementary occupations+1,918
Sex segregation across occupations declined only slightly. The totals condition on a stated occupation.
District unemployment still ranged widely.
National rate: 12.6%Gros Islet7.3%
Soufrière7.9%
Micoud12.3%
Anse La Raye13.3%
Castries13.4%
Dennery13.9%
Laborie14.7%
Vieux Fort15.8%
Choiseul18.1%
These district estimates should not determine funding on their own because the published report does not provide margins of error for each district. The 2025 report snapshot is kept separate from the conflicting web series.
Four policy tests
Track how each sector’s output, jobs and worker access change.
Separate jobs linked to sector growth from changes in jobs per unit of output.
Construction and trade expanded both output and employment. Skills certification, procurement predictability, infrastructure sequencing and working capital can target real constraints. Near-flat output with large hiring should trigger diagnosis, not an automatic subsidy.
Output growth can arrive without more jobs.
Information and communication expanded measured GVA while employment fell. Test whether automation, outsourcing, productivity or changing business mix is operating, then connect training to verified occupations and placements.
Job gains do not erase the unemployment gap.
Childcare, transport, job matching, flexible arrangements and equal-opportunity enforcement matter when labour-force entry outpaces absorption. Widen pathways into construction and technical work as well as expanding sectors where women already gained.
Give entry and geography their own scorecards.
Judge first-job and apprenticeship programmes by completion, placement, retention and earnings. Add spatial delivery and transport access, then publish uncertainty before allocating from district point estimates.
Data quality and comparability
Breaks and missing values limit comparisons across the published series.
The analysis preserves breaks and defects instead of filling them with invented continuity. That reduces precision and strengthens the claim.
They do not reconcile under the current industry labels. National aggregate employment remains context.
Industry employment comes from the Census, not the regular Labour Force Survey. The transition into 2011 is excluded.
The collection mode and comparability warning make transitions into, within and out of those years unsuitable for the strict model.
Published columns reproduce the wrong concepts or a single quarter. Missing observations are not recoded to zero.
Selected GVA series use employment-related volume indicators. A stricter sample removes those sectors and does not change the null inference.
Counts do not reveal hours, pay, contracts, informality, multiple jobs or worker flows. District sampling uncertainty is not published.
Primary evidenceOpen the source register6 sources
S1
Annual GDP by economic activity, constant 2018 prices, 2006–2024Saint Lucia Central Statistical Office
↗S2Employed labour force by industry group and sex, 2008–2025Saint Lucia Central Statistical Office
↗S3Main labour-force indicators, 1994–2025Saint Lucia Central Statistical Office
↗S4Quarterly GDP by economic activity, 2006Q1–2025Q2Saint Lucia Central Statistical Office
↗S5Labour Force Statistical Report: Annual 2025Saint Lucia Central Statistical Office
↗S6Technical assistance report: Rebasing of GDPInternational Monetary Fund
↗Michel, K. L. (2026). From Output Recovery to Employment Gains: Sectoral Employment Intensity and Uneven Labour-Market Recovery in Saint Lucia, 2008–2025 (Version 1.0). Saint Lucia Policy Analysis. https://doi.org/10.5281/zenodo.21908801