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Back to Economic Calendar

Inflation Rate MoM

HU

Key Values

Actual
-0.10
Forecast
—
Previous
0

About This Indicator

Description

The Month-over-Month (MoM) Inflation Rate measures the percentage change in the price level of a basket of consumer goods and services from one month to the next. It provides a high-frequency view of price stability and is a key metric used by central banks to adjust monetary policy. This indicator is essential for understanding short-term shifts in consumer purchasing power and cost-of-living adjustments.

Methodology

The rate is calculated by comparing the Consumer Price Index (CPI) of the current month to the CPI of the previous month. The formula used is: [(Current Month CPI - Previous Month CPI) / Previous Month CPI] * 100.

Source: Hungarian Central Statistical Office

Full History

Historical Data
View data as table
DateActualForecastSurprise
Aug 7, 2026-0.10——
Aug 7, 2026-0.100.50-0.60
Jul 7, 20260.00——
Jul 7, 20260.000.000.00
Jun 9, 20260.000.40-0.40
Jun 9, 20260.00——
May 8, 20260.40——
May 8, 20260.400.50-0.10
Apr 8, 20260.401.00-0.60
Mar 10, 20260.100.60-0.50
Feb 12, 20260.300.40-0.10
Jan 14, 20260.100.20-0.10
Dec 9, 20250.100.40-0.30
Nov 11, 20250.000.000.00
Oct 8, 20250.000.60-0.60
Sep 9, 20250.000.10-0.10
Aug 8, 20250.400.50-0.10
Jul 8, 20250.10-0.20+0.30
Jun 11, 20250.20-0.30+0.50
May 9, 20250.200.50-0.30
Apr 8, 20250.000.60-0.60
Mar 11, 20250.800.60+0.20
Feb 11, 20251.501.00+0.50
Jan 14, 20250.500.30+0.20
Dec 10, 20240.500.500.00
Nov 12, 20240.100.50-0.40
Oct 10, 2024-0.100.10-0.20
Aug 8, 20240.700.10+0.60
Jun 10, 2024-0.100.20-0.30
May 10, 20240.700.700.00
Apr 11, 20240.800.50+0.30
Mar 8, 20240.700.50+0.20
Feb 9, 20240.700.10+0.60
Jan 12, 2024-0.300.20-0.50
Dec 8, 20230.00-0.20+0.20
Nov 10, 2023-0.10-0.20+0.10
Oct 10, 20230.400.80-0.40
Sep 8, 20230.70——
Aug 8, 20230.30——
Jul 7, 20230.30——
Jun 8, 2023-0.40——
May 10, 20230.70——
Apr 12, 20230.80——
Mar 8, 20230.80——
Feb 10, 20232.30——
Jan 13, 20231.90——
Dec 8, 20221.80——
Nov 9, 20222.00——
Oct 11, 20224.10——
Sep 8, 20221.80——

Statistics

Mean
0.29
Std Deviation
0.38
Trend
Falling
Forecast Accuracy
61.8%
Data Points
144
YoY
-0.20