Job vacancies, Canada, monthly, seasonally adjusted data tables
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Published observations in their native monthly, quarterly or annual periods. No filling or interpolation. These tables work without JavaScript.
Edition: fd0ecb6314d605676cd740773ecb496376c8b8475a9f9c70e3d2f08f82f4a592
Job vacancies, Canada, monthly, seasonally adjusted
Canada · monthly · job vacancies · Seasonally adjusted
Published issuer series; native reference periods are retained. Missing observations remain missing. Labour Force Survey estimates and job-vacancy employer-survey estimates describe different populations. Employment is not job vacancies; rates have their own denominators. Unadjusted immigrant comparisons use overlapping three-month averages. Exact issuer dimensions: Geography: Canada; Statistics: Job vacancies. Issuer flags apply to 131 observations; inspect the dated source table and CSV flags before interpreting them. 6 issuer periods are unavailable and are retained as missing in the source table.
Countability page snapshot: 2026-11-11. Issuer observations retain their published precision after conversion to the stated base units; no interpolation or missing-value replacement.
Published Countability table. Adapted from Statistics Canada — Job vacancies, payroll employees, and job vacancy rate by provinces and territories, monthly, adjusted for seasonality (14-10-0432-01); reference periods 2015-04 to 2026-08. This does not constitute an endorsement by Statistics Canada of this product. Statistics Canada Open Licence.
Statistics Canada — Job vacancies, payroll employees, and job vacancy rate by provinces and territories, monthly, adjusted for seasonality. Input captured: 2026-11-10. Table release: 2026-10-29.
Archived table metadata captured with the data; not a per-observation revision date.
| Reference period | Value (job vacancies) |
|---|---|
| 2015-04 | 438605.0 (data quality: excellent) |
| 2015-05 | 406980.0 (data quality: excellent) |
| 2015-06 | 397480.0 (data quality: excellent) |
| 2015-07 | 376375.0 (data quality: excellent) |
| 2015-08 | 367665.0 (data quality: excellent) |
| 2015-09 | 406910.0 (data quality: excellent) |
| 2015-10 | 363195.0 (data quality: excellent) |
| 2015-11 | 370010.0 (data quality: excellent) |
| 2015-12 | 365135.0 (data quality: excellent) |
| 2016-01 | 366500.0 (data quality: excellent) |
| 2016-02 | 354315.0 (data quality: excellent) |
| 2016-03 | 362340.0 (data quality: excellent) |
| 2016-04 | 339295.0 (data quality: excellent) |
| 2016-05 | 362390.0 (data quality: excellent) |
| 2016-06 | 378440.0 (data quality: excellent) |
| 2016-07 | 372260.0 (data quality: excellent) |
| 2016-08 | 391355.0 (data quality: excellent) |
| 2016-09 | 366285.0 (data quality: excellent) |
| 2016-10 | 372920.0 (data quality: excellent) |
| 2016-11 | 378270.0 (data quality: excellent) |
| 2016-12 | 406715.0 (data quality: excellent) |
| 2017-01 | 403925.0 (data quality: excellent) |
| 2017-02 | 420455.0 (data quality: excellent) |
| 2017-03 | 439825.0 (data quality: excellent) |
| 2017-04 | 422430.0 (data quality: excellent) |
| 2017-05 | 428195.0 (data quality: excellent) |
| 2017-06 | 423140.0 (data quality: excellent) |
| 2017-07 | 432580.0 (data quality: excellent) |
| 2017-08 | 433840.0 (data quality: excellent) |
| 2017-09 | 464065.0 (data quality: excellent) |
| 2017-10 | 460480.0 (data quality: excellent) |
| 2017-11 | 494765.0 (data quality: excellent) |
| 2017-12 | 489290.0 (data quality: excellent) |
| 2018-01 | 478750.0 (data quality: excellent) |
| 2018-02 | 500745.0 (data quality: excellent) |
| 2018-03 | 507800.0 (data quality: excellent) |
| 2018-04 | 498660.0 (data quality: excellent) |
| 2018-05 | 506835.0 (data quality: excellent) |
| 2018-06 | 520800.0 (data quality: excellent) |
| 2018-07 | 527190.0 (data quality: excellent) |
| 2018-08 | 507045.0 (data quality: excellent) |
| 2018-09 | 541495.0 (data quality: excellent) |
| 2018-10 | 574865.0 (data quality: excellent) |
| 2018-11 | 556020.0 (data quality: excellent) |
| 2018-12 | 557165.0 (data quality: excellent) |
| 2019-01 | 544825.0 (data quality: excellent) |
| 2019-02 | 542500.0 (data quality: excellent) |
| 2019-03 | 546780.0 (data quality: excellent) |
| 2019-04 | 546720.0 (data quality: excellent) |
| 2019-05 | 546680.0 (data quality: excellent) |
| 2019-06 | 537935.0 (data quality: excellent) |
| 2019-07 | 534940.0 (data quality: excellent) |
| 2019-08 | 541945.0 (data quality: excellent) |
| 2019-09 | 531475.0 (data quality: excellent) |
| 2019-10 | 538195.0 (data quality: excellent) |
| 2019-11 | 523095.0 (data quality: excellent) |
| 2019-12 | 518165.0 (data quality: excellent) |
| 2020-01 | 577570.0 (data quality: excellent) |
| 2020-02 | 574645.0 (data quality: excellent) |
| 2020-03 | 527265.0 (data quality: excellent) |
| 2020-04 | Unavailable (not available for a specific reference period) |
| 2020-05 | Unavailable (not available for a specific reference period) |
| 2020-06 | Unavailable (not available for a specific reference period) |
| 2020-07 | Unavailable (not available for a specific reference period) |
| 2020-08 | Unavailable (not available for a specific reference period) |
| 2020-09 | Unavailable (not available for a specific reference period) |
| 2020-10 | 588015.0 (data quality: excellent) |
| 2020-11 | 572935.0 (data quality: excellent) |
| 2020-12 | 569935.0 (data quality: excellent) |
| 2021-01 | 554330.0 (data quality: excellent) |
| 2021-02 | 609365.0 (data quality: excellent) |
| 2021-03 | 637600.0 (data quality: excellent) |
| 2021-04 | 640360.0 (data quality: excellent) |
| 2021-05 | 658090.0 (data quality: excellent) |
| 2021-06 | 768880.0 (data quality: excellent) |
| 2021-07 | 815585.0 (data quality: excellent) |
| 2021-08 | 893235.0 (data quality: excellent) |
| 2021-09 | 941100.0 (data quality: excellent) |
| 2021-10 | 931260.0 (data quality: excellent) |
| 2021-11 | 912010.0 (data quality: excellent) |
| 2021-12 | 976955.0 (data quality: excellent) |
| 2022-01 | 911250.0 (data quality: excellent) |
| 2022-02 | 904535.0 (data quality: excellent) |
| 2022-03 | 984485.0 (data quality: excellent) |
| 2022-04 | 977875.0 (data quality: excellent) |
| 2022-05 | 986725.0 (data quality: excellent) |
| 2022-06 | 990325.0 (data quality: excellent) |
| 2022-07 | 983280.0 (data quality: excellent) |
| 2022-08 | 947690.0 (data quality: excellent) |
| 2022-09 | 948120.0 (data quality: excellent) |
| 2022-10 | 902995.0 (data quality: excellent) |
| 2022-11 | 872290.0 (data quality: excellent) |
| 2022-12 | 849795.0 (data quality: excellent) |
| 2023-01 | 843950.0 (data quality: excellent) |
| 2023-02 | 813120.0 (data quality: excellent) |
| 2023-03 | 794665.0 (data quality: excellent) |
| 2023-04 | 783010.0 (data quality: excellent) |
| 2023-05 | 763255.0 (data quality: excellent) |
| 2023-06 | 748240.0 (data quality: excellent) |
| 2023-07 | 726840.0 (data quality: excellent) |
| 2023-08 | 717795.0 (data quality: excellent) |
| 2023-09 | 660630.0 (data quality: excellent) |
| 2023-10 | 685225.0 (data quality: excellent) |
| 2023-11 | 673670.0 (data quality: excellent) |
| 2023-12 | 628920.0 (data quality: excellent) |
| 2024-01 | 653650.0 (data quality: excellent) |
| 2024-02 | 644640.0 (data quality: excellent) |
| 2024-03 | 596770.0 (data quality: excellent) |
| 2024-04 | 587295.0 (data quality: excellent) |
| 2024-05 | 569035.0 (data quality: excellent) |
| 2024-06 | 555535.0 (data quality: excellent) |
| 2024-07 | 550850.0 (data quality: excellent) |
| 2024-08 | 545570.0 (data quality: excellent) |
| 2024-09 | 538680.0 (data quality: excellent) |
| 2024-10 | 536585.0 (data quality: excellent) |
| 2024-11 | 541210.0 (data quality: excellent) |
| 2024-12 | 529960.0 (data quality: excellent) |
| 2025-01 | 524470.0 (data quality: excellent) |
| 2025-02 | 518640.0 (data quality: excellent) |
| 2025-03 | 514875.0 (data quality: excellent) |
| 2025-04 | 507935.0 (data quality: excellent) |
| 2025-05 | 497115.0 (data quality: excellent) |
| 2025-06 | 495280.0 (data quality: excellent) |
| 2025-07 | 495445.0 (data quality: excellent) |
| 2025-08 | 481405.0 (data quality: excellent) |
| 2025-09 | 492180.0 (data quality: excellent) |
| 2025-10 | 482215.0 (data quality: excellent) |
| 2025-11 | 484100.0 (data quality: excellent) |
| 2025-12 | 507720.0 (data quality: excellent) |
| 2026-01 | 502195.0 (data quality: excellent) |
| 2026-02 | 504910.0 (data quality: excellent) |
| 2026-03 | 496475.0 (data quality: excellent) |
| 2026-04 | 498325.0 (data quality: excellent) |
| 2026-05 | 506275.0 (data quality: excellent) |
| 2026-06 | 507385.0 (data quality: excellent) |
| 2026-07 | 502030.0 (data quality: excellent) |
| 2026-08 | 507220.0 (data quality: excellent) |