The reading has risen in each of the last 3 releases.
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.
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.
| Date | Actual | Forecast | Surprise |
|---|---|---|---|
| Oct 1, 2026 | 1.30 | 0.30 | +1.00 |
| Sep 2, 2026 | 1.20 | 0.20 | +1.00 |
| Aug 3, 2026 | 1.00 | 2.00 | -1.00 |
| Jul 1, 2026 | -0.30 | 0.40 | -0.70 |
| Jun 1, 2026 | 0.50 | 0.70 | -0.20 |
| May 1, 2026 | 2.50 | 0.70 | +1.80 |
| Apr 1, 2026 | 1.20 | 0.90 | +0.30 |
| Mar 2, 2026 | 0.30 | 0.30 | 0.00 |
| Feb 2, 2026 | 0.40 | 0.20 | +0.20 |
| Jan 2, 2026 | -0.40 | 0.30 | -0.70 |
| Dec 1, 2025 | 0.40 | 1.20 | -0.80 |
| Nov 3, 2025 | 1.80 | 1.20 | +0.60 |
| Oct 1, 2025 | 2.00 | 0.50 | +1.50 |
| Sep 1, 2025 | -0.60 | 0.70 | -1.30 |
| Aug 1, 2025 | 2.90 | 0.30 | +2.60 |
| Jul 1, 2025 | 0.20 | 1.10 | -0.90 |
| Jun 2, 2025 | -0.20 | -0.20 | 0.00 |
| May 2, 2025 | -0.80 | 1.50 | -2.30 |
| Apr 3, 2025 | 0.90 | 3.40 | -2.50 |
| Mar 3, 2025 | -0.80 | 0.60 | -1.40 |
| Feb 3, 2025 | 0.20 | 0.20 | 0.00 |
| Jan 2, 2025 | 0.10 | 1.50 | -1.40 |
| Dec 2, 2024 | 0.50 | 0.40 | +0.10 |
| Nov 1, 2024 | 1.20 | 0.20 | +1.00 |
| Oct 1, 2024 | -0.50 | 0.50 | -1.00 |
| Sep 2, 2024 | 0.40 | 0.40 | 0.00 |
| Aug 1, 2024 | 2.10 | 0.80 | +1.30 |
| Jul 1, 2024 | 0.50 | 1.80 | -1.30 |
| Jun 3, 2024 | -3.20 | -0.20 | -3.00 |
| Apr 1, 2024 | 1.70 | 2.00 | -0.30 |
| Feb 1, 2024 | 1.80 | 1.20 | +0.60 |
| Dec 1, 2023 | 2.70 | 1.00 | +1.70 |
| Nov 1, 2023 | 1.10 | 2.30 | -1.20 |
The latest reading is within its usual range, less than one standard deviation from the mean.
