Global Inflation Trends 2025: Disinflation, Divergence & Policy Tightening

By Collins Odhiambo Owino
Author | DatalytIQs Academy
Data Source: International Monetary Fund (IMF) World Economic Outlook – October 2025

Headline Overview

After two years of pandemic- and war-driven price surges, global inflation continues to decline in 2025. Yet the path of disinflation differs sharply between advanced and emerging economies.

The IMF’s Global Inflation Trends chart shows year-on-year consumer-price movements from 2019 to 2025 for:

  • United States (blue)

  • Euro Area (red)

  • Other Advanced Economies (AEs) (gold)

  • China (green)

  • Other Emerging and Developing Economies (EMDEs) (light blue band)

Headline Inflation Patterns

Peak and Retreat:

  • Inflation spiked between 2021 and mid-2022, hitting double-digit levels in many advanced economies.

  • The drivers: global supply-chain bottlenecks, post-pandemic demand rebound, and energy-price shocks linked to the Ukraine conflict.

  • Since late 2023, inflation has gradually eased as commodity prices normalized and central banks raised interest rates aggressively.

Regional Highlights:

  • United States: Inflation peaked above 9% in 2022, falling below 3% by mid-2025 as monetary policy remained tight.

  • Euro Area: Slightly lagged the U.S., owing to persistent energy-price pressures and slower wage adjustments.

  • China: Experienced mild inflation averaging 1–2%, reflecting weaker domestic demand and overcapacity in manufacturing.

  • Other EMDEs: Displayed the widest volatility range (blue shaded band ≈ 4 – 16%), emphasizing exposure to currency depreciation and food-price shocks.

Core Inflation Dynamics

While headline inflation cooled, core inflation (excluding energy & food) remains elevated in many economies:

  • Sticky service prices and wage growth keep core inflation around 4–5% in advanced economies.

  • EMDEs face second-round effects from earlier commodity surges and exchange-rate passthrough.

Central banks must walk a fine line—maintaining credibility on inflation while avoiding over-tightening that could dampen growth.

Policy Responses and Outlook

Policy Area Advanced Economies Emerging Economies
Monetary Policy “Higher for longer” stance by the Fed and ECB to prevent inflation relapse. Selective tightening—India and Brazil easing gradually; Kenya and Ghana remain hawkish.
Fiscal Policy Gradual consolidation, targeting debt sustainability. Fiscal discipline under IMF programs; focus on social protection and food security.
Inflation Target 2 % targets remain intact but are challenged by wage persistence. Flexible inflation targeting is gaining traction.

Projection: Global inflation expected to average 4.8 % in 2025 and 4.2 % in 2026, still above pre-pandemic norms.

Implications for Africa and Kenya

  • Imported Inflation: Kenya’s price pressures mirror global energy and fertilizer costs.

  • Monetary Tightening: CBK rate at 9.25 % (Oct 2025) keeps inflation ≈ 4.6 %, within target.

  • Exchange-Rate Link: A weaker shilling raises import costs, but disinflation in global oil markets offsets part of the pressure.

  • Policy Advice: Kenya should maintain a cautious monetary policy while accelerating domestic food and energy resilience.

Inflation in Kenya cannot be viewed in isolation; it is interconnected with global monetary cycles and commodity markets.

For DatalytIQs Academy Learners

  • Build a Python notebook to replicate the IMF chart using Matplotlib (fill_between for the EMDE band).

  • Apply rolling-window averages to study how inflation volatility differs between regions.

  • Simulate the impact of interest-rate changes on inflation trajectories via simple AR models.

  • Link global inflation trends to Kenya’s CPI data from KNBS and CBK for a comparative project.

Data and Acknowledgment

Source: IMF World Economic Outlook (October 2025) – Figure 1.6 Global Inflation Trends.
Additional References: OECD Statistics Portal and World Bank Commodity Outlook 2025.
Acknowledgment: IMF staff for data visualization and open access to macroeconomic datasets.
Author: Collins Odhiambo Owino, DatalytIQs Academy

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