Romania Producer Price Index in Romania

Instituto Nacional de Estadistica de Rumania · Mensual

14.3% (Jun-26) YOY · % · Mensual · CSV
Period%
Jun 2026 14.3%
May 2026 13.2%
Apr 2026 11.5%
Mar 2026 7.6%
Feb 2026 2.5%
Jan 2026 9.1%
Dec 2025 6.2%
Nov 2025 4.8%
Oct 2025 9.3%
Sep 2025 6.8%
Aug 2025 3.0%
Jul 2025 2.2%
Jun 2025 -1.6%
May 2025 0.2%
Apr 2025 1.4%
Mar 2025 3.1%
Feb 2025 3.7%
Jan 2025 -2.3%
Dec 2024 -2.5%
Nov 2024 -1.8%
Oct 2024 -5.1%
Sep 2024 -3.2%
Aug 2024 2.4%
Jul 2024 2.3%
Jun 2024 0.6%
May 2024 -2.4%
Apr 2024 -6.0%
Mar 2024 -11.3%
Feb 2024 -9.3%
Jan 2024 -8.3%
Dec 2023 -7.3%
Nov 2023 -6.0%
Oct 2023 -5.9%
Sep 2023 -2.5%
Aug 2023 -5.6%
Jul 2023 -0.7%
Jun 2023 5.2%
May 2023 10.9%
Apr 2023 14.7%
Mar 2023 18.4%
Feb 2023 27.7%
Jan 2023 29.3%
Dec 2022 43.8%
Nov 2022 46.6%
Oct 2022 56.0%
Sep 2022 61.1%
Aug 2022 66.5%
Jul 2022 63.4%
Jun 2022 56.5%
May 2022 53.9%
Apr 2022 55.6%
Mar 2022 62.1%
Feb 2022 53.0%
Jan 2022 52.5%
Dec 2021 39.2%
Nov 2021 37.6%
Oct 2021 29.4%
Sep 2021 20.5%
Aug 2021 16.5%
Jul 2021 14.8%

About this indicator

SourceNational Institute of Statistics Romania
FrequencyMensual
Release Aproximadamente un mes después del periodo de referencia.
What it isTracks the change in the factory-gate prices of industrial goods made and sold in Romania. Published by the National Institute of Statistics (INS), it covers mining, manufacturing and energy but excludes construction, taxes and transport and marketing costs.
How it's calculatedRomania's INS compiles it from a survey of selling prices across a sample of industrial establishments, building an index (base year = 100) that is periodically rebased. The methodology is harmonised with Eurostat and it is released as monthly and year-on-year changes.
Market implicationsIt is a leading indicator of inflation, since rising producer prices tend to feed through to consumer prices with a lag. In Romania, whose leu sits outside the euro, a stronger reading weighs on the National Bank of Romania's interest-rate decisions.
LimitationsTo read the underlying trend it helps to strip out energy, the most volatile component. The data are subject to revision in later releases, and the headline can blend domestic-market and export prices depending on the breakdown used.