Countries by Inflation Volatility (2015–2025)

by StatRanker February 15, 2026 261 70 min read

Economy · Prices · Monetary stability

Inflation volatility is not the same as high inflation. A country can experience persistently high prices and still score low on volatility — if that inflation is predictable. What this ranking measures is how much the annual CPI growth rate swings from year to year: a country where inflation jumps from 5% to 40% and back to 8% is far harder to plan around than one holding steadily at 12%. Understanding volatility is essential for businesses setting prices, households managing savings, and governments designing social transfers.

Indicator: std dev of annual CPI Window: 2015–2024 Coverage: 100 economies Source: IMF WEO + World Bank WDI

Methodology

Volatility is defined as the standard deviation of annual consumer price inflation (year-on-year % change in CPI) computed over the 2015–2024 window — ten observations per country where complete data are available. Countries with fewer than six valid data points are excluded from the ranking.

Volatility

Std dev of YoY CPI (pp)

Average

Mean YoY CPI, 2015–2024

Max

Peak YoY CPI, 2015–2025

Last (2025)

Latest YoY CPI (est./proj.)

Data sources: Primary series are from the IMF World Economic Outlook (PCPIPCH variable), supplemented by World Bank WDI where IMF data are unavailable. For 2025, values are IMF WEO estimates or projections and may differ from final CPI outcomes.

Chart winsorization: Hyperinflation episodes (notably Venezuela and Zimbabwe) produce volatility values orders of magnitude above other countries, making linear chart scales unreadable. For visualisations only, volatility is capped (winsorized) at the 95th percentile of the sample (~69.5 pp). The ranking table and all numeric values in this article always show the raw, unmodified volatility. Log scaling is used in the scatter chart.

Limitations: CPI series are compiled by national statistical agencies under varying methodologies. Basket composition, weighting, and coverage differ across countries. In some conflict or hyperinflation episodes, data reliability is lower. Volatility computed from a 10-year window may not fully capture recent structural shifts — a country that stabilised in 2022 still carries earlier turbulent years in its score.

Top 10 countries with the most volatile inflation

Six of the ten most volatile inflation environments occurred in countries that experienced currency collapse, war-related fiscal breakdown, or both simultaneously.

#1Venezuela

Americas · Upper-middle income

Volatility (2015–2024): 19,638 pp

Avg: 9,066% Max: 65,374% Last (2025 est.): 150.0%

Venezuela's hyperinflation episode, which peaked in 2018, is one of the most severe in recorded history. The collapse followed a combination of oil-revenue dependence, fiscal monetisation, price controls that destroyed supply, and loss of central-bank credibility. Even as the economy partially dollarised after 2019 and the headline rate fell sharply, the cumulative price level rise over 2015–2024 means the bolivar lost almost all its purchasing power. Volatility this extreme is essentially unplottable on a standard chart — Venezuela dwarfs every other entry in this ranking by a factor of 70 or more.

#2Zimbabwe

Africa · Low income

Volatility (2015–2024): 252 pp

Avg: 234% Max: 667% Last (2025 est.): 554.7%

Zimbabwe entered a second hyperinflation episode in 2019–2020, following an attempt to reintroduce a domestic currency after a decade of dollarisation. Structural fiscal deficits, quasi-fiscal operations by the central bank, and a collapse in foreign-exchange reserves drove prices to extraordinary levels. The introduction of ZiG (Zimbabwe Gold) in 2024 represents the latest stabilisation attempt, but ongoing volatility remains very high.

#3South Sudan

Africa · Low income

Volatility (2015–2024): 102 pp

Avg: 89.1% Max: 346.1% Last (2025 est.): 21.7%

South Sudan's inflation reflects chronic conflict, near-total oil revenue dependence, and an extremely weak institutional framework. Periods of near-hyperinflation in 2016–2017 were caused by large fiscal deficits monetised by the central bank and a steep currency depreciation. Oil production disruptions amplify shocks because petroleum revenues underpin almost the entire government budget.

#4Sudan

Africa · Low income

Volatility (2015–2024): 99.6 pp

Avg: 115.9% Max: 359.1% Last (2025 est.): 62.7%

Sudan's inflation trajectory over 2015–2024 reflects cascading shocks: the loss of oil revenues when South Sudan seceded, prolonged U.S. sanctions, repeated exchange-rate adjustments, and since 2023 a devastating civil war. The removal of fuel and wheat subsidies in 2021 produced a sudden spike. Sudan now carries one of the highest average-inflation levels in the world alongside extreme volatility.

#5Argentina

Americas · Upper-middle income

Volatility (2015–2024): 70.6 pp

Avg: 82.5% Max: 249.8% Last (2025 est.): 59.6%

Argentina is the only upper-middle-income economy in the top five. Its chronic inflation is rooted in decades of fiscal dominance, peso depreciation cycles, and political reluctance to implement sustained stabilisation. Inflation peaked at nearly 250% in 2024 before the Milei administration's shock therapy — a sharp fiscal tightening and liberalisation of the exchange rate — began to bring the rate down. The rapid deceleration itself adds to the recorded volatility.

#6Lebanon

MENA · Upper-middle income

Volatility (2015–2024): 69.4 pp

Avg: 52.5% Max: 171.2% Last (2025): n/a

Lebanon's financial collapse from 2019 onward triggered one of the most severe peacetime economic crises in modern history. The fixed exchange-rate peg that held for two decades unravelled, the banking system froze deposits, and the state lost the ability to finance fuel and electricity imports. Inflation spiked above 150% in 2020 and remained deeply elevated. Data reliability for 2024–2025 is limited by institutional breakdown.

#7Turkey

Europe · Upper-middle income

Volatility (2015–2024): 23.1 pp

Avg: 27.6% Max: 72.3% Last (2025 est.): 38.4%

Turkey is notable as the most volatile large emerging economy in the ranking. A period of sub-10% inflation before 2017 gave way to repeated lira crises and an unconventional monetary experiment (cutting rates to fight inflation) that pushed CPI above 80% in mid-2022. The subsequent policy reversal — sharp rate hikes from 2023 — brought inflation back down, but the two-year swing produces high measured volatility.

#8Suriname

Americas · Upper-middle income

Volatility (2015–2024): 20.8 pp

Avg: 31.5% Max: 59.1% Last (2025 est.): 14.8%

A small commodity-dependent economy, Suriname experienced a severe fiscal and balance-of-payments crisis in 2020–2021 following gold and oil price weakness and pandemic-related revenue losses. The exchange-rate adjustment translated quickly into import-price inflation. An IMF-supported programme stabilised conditions, but the sharp inflationary episode leaves a clear footprint in the volatility measure.

#9Sri Lanka

Asia · Lower-middle income

Volatility (2015–2024): 13.5 pp

Avg: 9.6% Max: 45.2% Last (2025): n/a

Sri Lanka's 2022 economic crisis — characterised by foreign-exchange shortages, fuel and food queues, and eventual sovereign default — drove CPI to above 45%. Years of tax cuts that depleted reserves and monetary financing of deficits set the stage. The IMF programme stabilised the situation from 2023, and inflation returned to single digits, but the sharp spike inflates the ten-year volatility score significantly.

#10Iran

MENA · Lower-middle income

Volatility (2015–2024): 13.4 pp

Avg: 29.7% Max: 45.8% Last (2025 est.): 32.5%

Iran's inflation is driven by a combination of U.S. sanctions cutting export revenues, repeated rial depreciations, subsidised domestic energy prices creating structural fiscal pressure, and monetary expansion to finance the government. Unlike the crisis-driven volatility of some other top-10 entries, Iran shows persistently elevated inflation with large year-to-year swings driven by exchange-rate regimes and political cycles.

Top 10 — quick reference table

Rank	Country	Volatility (pp)	Avg %	Max %	Last % (2025)
1	Venezuela	19,638.1	9,066.3	65,374.1	150.0
2	Zimbabwe	252.0	234.0	667.4	554.7
3	South Sudan	102.0	89.1	346.1	21.7
4	Sudan	99.6	115.9	359.1	62.7
5	Argentina	70.6	82.5	249.8	59.6
6	Lebanon	69.4	52.5	171.2	n/a
7	Turkey	23.1	27.6	72.3	38.4
8	Suriname	20.8	31.5	59.1	14.8
9	Sri Lanka	13.5	9.6	45.2	n/a
10	Iran	13.4	29.7	45.8	32.5

Top 20 by inflation volatility — chart

Volatility = std dev of YoY CPI, 2015–2024 (pp). Chart is winsorized at 69.5 pp for readability; Venezuela (19,638) and Zimbabwe (252) bars are capped. Raw values shown in the table.

Top 100 countries by inflation volatility

The full table covers 100 economies ranked by the standard deviation of annual CPI inflation over 2015–2024. All rows are present in the HTML source — use the controls below to search, sort, and filter. The Volatility (pp) column shows the raw value in percentage points; toggling to Share (%) shows each country's contribution to the total volatility mass across all 100 economies (sum ≈ 20,626 pp, dominated by Venezuela).

Search: Sort by: Region: Income: Show:

Showing 20 of 100

Rank	Country	Region	Income	Volatility (pp) / Share (%)	Avg %	Max %	Last % (2025)
1	Venezuela	Americas	Upper-middle	19,638.195.21%	9,066.3	65,374.1	150.0
2	Zimbabwe	Africa	Low	252.01.22%	234.0	667.4	554.7
3	South Sudan	Africa	Low	102.00.49%	89.1	346.1	21.7
4	Sudan	Africa	Low	99.60.48%	115.9	359.1	62.7
5	Argentina	Americas	Upper-middle	70.60.34%	82.5	249.8	59.6
6	Lebanon	MENA	Upper-middle	69.40.34%	52.5	171.2	n/a
7	Turkey	Europe	Upper-middle	23.10.11%	27.6	72.3	38.4
8	Suriname	Americas	Upper-middle	20.80.10%	31.5	59.1	14.8
9	Sri Lanka	Asia	Lower-middle	13.50.07%	9.6	45.2	n/a
10	Iran	MENA	Lower-middle	13.40.06%	29.7	45.8	32.5
11	Sierra Leone	Africa	Low	12.60.06%	14.8	54.4	18.4
12	Ukraine	Europe	Lower-middle	12.20.06%	11.4	43.3	11.6
13	DR Congo	Africa	Low	10.90.05%	18.3	54.7	11.8
14	Lao PDR	Asia	Lower-middle	10.70.05%	9.7	41.3	14.6
15	Haiti	Americas	Low	10.60.05%	14.8	39.4	17.4
16	Yemen	MENA	Low	9.80.05%	23.5	58.3	39.5
17	Ghana	Africa	Lower-middle	9.70.05%	14.6	54.1	21.1
18	Libya	MENA	Upper-middle	9.60.05%	12.8	38.0	2.4
19	Burundi	Africa	Low	9.40.05%	13.2	27.7	17.4
20	Ethiopia	Africa	Low	9.00.04%	14.4	35.1	17.3
21	Angola	Africa	Lower-middle	8.70.04%	17.8	27.0	24.5
22	Malawi	Africa	Low	8.30.04%	14.1	34.4	28.4
23	Nigeria	Africa	Lower-middle	7.80.04%	13.8	28.9	26.8
24	Egypt	MENA	Lower-middle	7.60.04%	13.0	31.9	23.7
25	Pakistan	Asia	Lower-middle	7.40.04%	8.5	38.0	4.5
26	Mozambique	Africa	Low	7.10.03%	8.2	25.3	5.1
27	Zambia	Africa	Lower-middle	6.90.03%	13.4	22.1	15.2
28	Rwanda	Africa	Low	6.50.03%	8.7	24.0	5.2
29	Tanzania	Africa	Low	6.20.03%	7.3	20.3	3.1
30	Kenya	Africa	Lower-middle	5.90.03%	7.1	16.8	4.0
31	Uganda	Africa	Low	5.60.03%	5.9	17.8	3.2
32	Belarus	Europe	Upper-middle	5.30.03%	7.0	18.3	5.9
33	Kyrgyzstan	Asia	Lower-middle	5.10.02%	6.6	16.0	8.8
34	Tajikistan	Asia	Low	4.90.02%	7.2	12.5	5.4
35	Madagascar	Africa	Low	4.70.02%	8.6	22.0	11.8
36	Cameroon	Africa	Lower-middle	4.50.02%	3.8	13.7	5.9
37	Bolivia	Americas	Lower-middle	4.30.02%	4.1	13.6	3.8
38	Kazakhstan	Asia	Upper-middle	4.20.02%	8.1	20.4	8.4
39	Georgia	Europe	Upper-middle	4.00.02%	5.8	11.9	3.1
40	Moldova	Europe	Lower-middle	3.90.02%	5.9	30.2	5.1
41	Uzbekistan	Asia	Lower-middle	3.80.02%	13.2	25.0	9.8
42	Armenia	Asia	Upper-middle	3.60.02%	3.8	9.6	1.8
43	Azerbaijan	Asia	Upper-middle	3.50.02%	4.8	13.0	3.6
44	Mongolia	Asia	Lower-middle	3.40.02%	8.3	17.1	4.5
45	Senegal	Africa	Lower-middle	3.30.02%	2.3	12.6	1.8
46	Côte d'Ivoire	Africa	Lower-middle	3.10.02%	2.3	10.0	3.2
47	Honduras	Americas	Lower-middle	3.00.01%	4.7	10.5	5.0
48	Guatemala	Americas	Upper-middle	2.90.01%	4.4	9.8	4.1
49	Ecuador	Americas	Upper-middle	2.80.01%	0.5	3.5	1.7
50	Albania	Europe	Upper-middle	2.70.01%	2.0	8.3	1.9
51	Serbia	Europe	Upper-middle	2.60.01%	3.2	15.1	4.4
52	North Macedonia	Europe	Upper-middle	2.50.01%	2.0	19.8	3.0
53	Bosnia and Herzegovina	Europe	Upper-middle	2.40.01%	1.5	16.5	2.5
54	Paraguay	Americas	Upper-middle	2.40.01%	4.2	11.8	4.0
55	Russia	Europe	Upper-middle	2.30.01%	6.3	15.7	7.3
56	El Salvador	Americas	Lower-middle	2.20.01%	1.5	7.8	0.6
57	Costa Rica	Americas	Upper-middle	2.10.01%	3.5	13.1	0.9
58	Dominican Republic	Americas	Upper-middle	2.00.01%	5.0	9.2	3.6
59	Panama	Americas	Upper-middle	1.90.01%	1.0	5.2	0.2
60	Brazil	Americas	Upper-middle	1.90.01%	6.1	12.1	5.1
61	Peru	Americas	Upper-middle	1.80.01%	2.9	11.6	1.8
62	Colombia	Americas	Upper-middle	1.80.01%	5.0	13.1	5.3
63	Malaysia	Asia	Upper-middle	1.70.01%	2.2	4.7	1.8
64	Indonesia	Asia	Upper-middle	1.70.01%	4.3	8.4	2.8
65	Vietnam	Asia	Lower-middle	1.60.01%	3.8	9.2	3.6
66	Philippines	Asia	Lower-middle	1.60.01%	4.2	8.3	3.2
67	Mexico	Americas	Upper-middle	1.60.01%	4.8	8.7	3.8
68	India	Asia	Lower-middle	1.50.01%	5.3	7.6	4.2
69	China	Asia	Upper-middle	1.50.01%	2.3	4.1	0.2
70	Romania	Europe	High	1.50.01%	5.1	16.4	5.1
71	Bulgaria	Europe	Upper-middle	1.40.01%	3.5	15.3	2.9
72	Croatia	Europe	High	1.40.01%	2.8	13.3	3.3
73	Hungary	Europe	High	1.40.01%	6.5	25.7	3.7
74	Poland	Europe	High	1.30.01%	4.3	15.6	4.0
75	Latvia	Europe	High	1.30.01%	3.7	21.3	1.4
76	Lithuania	Europe	High	1.30.01%	3.9	22.5	1.7
77	Estonia	Europe	High	1.20.01%	4.2	24.1	3.1
78	Chile	Americas	High	1.20.01%	4.1	14.0	4.5
79	Uruguay	Americas	High	1.20.01%	7.3	9.9	5.2
80	South Korea	Asia	High	1.10.01%	2.0	6.3	2.3
81	Thailand	Asia	Upper-middle	1.10.01%	1.5	7.1	0.5
82	Israel	MENA	High	1.10.01%	1.4	5.2	3.3
83	Slovakia	Europe	High	1.0<0.01%	3.1	14.5	2.5
84	Czechia	Europe	High	1.0<0.01%	3.8	17.7	2.6
85	Portugal	Europe	High	0.9<0.01%	2.3	10.2	2.4
86	Spain	Europe	High	0.9<0.01%	1.9	10.8	2.5
87	Italy	Europe	High	0.9<0.01%	1.5	12.3	1.3
88	Greece	Europe	High	0.9<0.01%	0.9	11.0	2.9
89	Australia	Asia	High	0.8<0.01%	2.7	7.8	2.5
90	New Zealand	Asia	High	0.8<0.01%	2.7	7.2	2.2
91	United Kingdom	Europe	High	0.8<0.01%	2.8	11.1	2.5
92	Canada	Americas	High	0.8<0.01%	2.8	8.1	2.0
93	Sweden	Europe	High	0.7<0.01%	2.1	12.3	1.7
94	Austria	Europe	High	0.7<0.01%	2.5	11.2	2.0
95	Belgium	Europe	High	0.7<0.01%	2.3	12.3	3.9
96	Netherlands	Europe	High	0.7<0.01%	2.4	17.1	2.7
97	Germany	Europe	High	0.6<0.01%	2.1	8.7	2.2
98	France	Europe	High	0.6<0.01%	1.7	7.3	1.7
99	United States	Americas	High	0.6<0.01%	2.9	9.1	2.4
100	Japan	Asia	High	0.5<0.01%	0.8	4.3	2.5

Source: IMF World Economic Outlook (PCPIPCH series); World Bank WDI (supplementary). Volatility = std dev of YoY CPI, 2015–2024. 2025 "Last" values are WEO estimates/projections; final data may differ. Share (%) = country's volatility as a fraction of total volatility across all 100 economies (sum ≈ 20,626 pp). Values are approximate and rounded.

Volatility vs. GDP per capita (PPP) — selected economies

The scatter chart below maps inflation volatility against income level (GDP per capita, PPP, 2024). Both axes use logarithmic scale to manage the extreme range of values. The inverse relationship is clear: richer economies consistently show lower inflation volatility, though there are notable exceptions driven by policy choices and commodity dependence.

Both axes are log-scaled. Volatility is winsorized at 69.5 pp for visual clarity. GDP per capita PPP source: World Bank WDI / IMF WEO 2024 data.

Insights: what drives inflation volatility across economies

The most striking feature of this ranking is its extreme concentration at the top. Venezuela alone accounts for more than 95% of the total raw volatility mass across all 100 economies in the sample. This reflects a broader structural fact about hyperinflation: price instability at that scale is qualitatively different from the volatility observed in countries with "merely" high inflation. Once an economy enters a hyperinflationary spiral, the standard deviation of annual CPI becomes a measure of economic disintegration rather than normal cyclical price swings.

Excluding the hyperinflation outliers (Venezuela, Zimbabwe, and the two Sudans), the remainder of the top 20 forms a coherent group: countries that experienced at least one severe inflation shock in the 2015–2024 window driven by external debt crises, exchange-rate collapses, or commodity-revenue breakdowns. Argentina, Lebanon, Sri Lanka, and Suriname all fit this pattern. Turkey is a notable case: a large, well-integrated emerging economy that deliberately pursued unconventional monetary policy (rate cuts during inflationary acceleration), accepted a major price shock as a consequence, and then partially reversed course. This shows that volatility is not limited to fragile states. It can also result from policy choices in middle-income economies.

Moving down the ranking, a consistent regional pattern emerges: Sub-Saharan African economies dominate ranks 20–35. This reflects several structural factors operating simultaneously — high food and fuel shares in consumption baskets (amplifying commodity pass-through), thin foreign-exchange reserves that make exchange rates susceptible to external shocks, limited monetary-policy credibility, and fiscal dominance in several countries. Importantly, many of these economies do not appear in international financial headlines as crisis cases, yet their CPI series show persistent double-digit swings that severely complicate household financial planning and private investment.

At the low end of the ranking — Japan (0.5 pp), Germany (0.6 pp), France (0.6 pp), the United States (0.6 pp) — something important becomes visible: even these countries experienced their most volatile inflation decade in forty years over 2015–2024, due to the 2021–2023 post-pandemic price surge. Their volatility score would have been materially lower if this window ended in 2019. This underscores that the 10-year window is not neutral — it captures a specific, historically unusual global inflation episode. Readers interpreting the lower half of the ranking should bear in mind that these "low-volatility" economies still saw inflation accelerate from near-zero to 8–11% in 18 months, a historically unusual event.

The scatter chart reinforces what theory predicts: there is a strong negative association between income level (GDP per capita, PPP) and inflation volatility. But the relationship is not mechanical. Several upper-middle-income economies (Turkey, Argentina, Suriname) sit far above the expected volatility for their income level, while some lower-middle-income economies (India, Indonesia, Vietnam) sit well below it. The difference lies primarily in institutional quality: central-bank independence, fiscal rule credibility, exchange-rate regime, and reserve adequacy are all strong predictors of whether an income level translates into low or high volatility.

What this means for readers

Inflation volatility is more damaging to economic welfare than a steady high rate, because unpredictability removes the ability to adapt. A business in a country with 10% steady inflation can build it into pricing, wages, and contracts. A business in a country where inflation swings between 3% and 40% cannot. Every financial plan based on a price expectation risks being wrong by a factor that makes the plan useless.

Key real-world effects of high inflation volatility:

Savings erosion: Bank deposits and fixed-income instruments lose unpredictable real value. Households shift to foreign currency or real assets as a hedge — reducing domestic financial depth.
Contract distortion: Long-term contracts (rents, wages, supply agreements) become unenforceable or require complex indexation clauses that create their own legal risks.
Investment suppression: Capital projects with multi-year payback periods require stable input-cost and revenue assumptions. Volatile CPI raises the risk premium on investment and crowds out productive capital formation.
Inequality amplification: Low-income households spend a higher share of income on food and energy — the most volatile CPI components — and have fewer tools to hedge (no access to FX accounts, financial derivatives, or inflation-linked instruments).
Policy credibility trap: Once volatility is high, anchoring expectations requires more aggressive and painful monetary tightening than in a stable environment, creating a painful path back to stability.

For business and investment purposes, economies ranking in the top 30 of this volatility list generally require explicit inflation risk management: shorter pricing cycles, cost-escalation clauses, FX exposure hedging, and shorter tenor on financing. Economies in the bottom 30 of the ranking — primarily high-income OECD members — still carry post-pandemic residual volatility in the score but represent manageable environments for long-term planning.

Common structural drivers of high volatility

Exchange-rate pass-through: In highly import-dependent economies with limited FX reserves, currency depreciations translate rapidly and fully into consumer prices. Each depreciation episode produces an inflation spike.
Fiscal dominance: When governments finance deficits by pressuring the central bank to expand money supply, inflation becomes driven by budget cycles rather than economic conditions — producing erratic patterns.
Commodity dependence: Economies where food or fuel constitute 40–60% of the CPI basket and are also major export earners face symmetric shocks: a commodity price boom worsens the fiscal deficit when the government subsidises prices, and a bust simultaneously cuts revenues and weakens the currency.
Policy regime shifts: Price controls, administered prices, and subsidy removal events produce sudden, large step changes in measured CPI that are discrete rather than gradual — inflating the volatility measure.
Weak institutional credibility: Without an established track record of price stability, inflation expectations are poorly anchored, so any supply or demand shock propagates into a persistent inflationary spiral rather than a temporary deviation.

Policy takeaways

Credible nominal anchor: Explicit inflation targets supported by genuine operational independence of the central bank significantly reduce both average inflation and its volatility. Credibility, once established, is self-reinforcing — expectations become anchored and shocks propagate less.
Fiscal rules complement monetary policy: Monetary stabilisation without fiscal consolidation eventually collapses. Structural primary balance rules and independent fiscal councils reduce the risk that monetary policy is reversed under budget pressure.
FX reserves as a volatility buffer: Adequate reserves allow central banks to smooth exchange-rate adjustments rather than allowing disorderly depreciations that pass through immediately to CPI. Three months of import cover is insufficient for a commodity exporter; six or more provides meaningful insulation.
Supply-side buffers: Strategic food reserves, energy price smoothing mechanisms, and supply diversification reduce the amplitude of commodity price pass-through — directly lowering CPI volatility without requiring monetary tightening.
Data transparency and timely CPI publication: Gaps or delays in official CPI publication (as in some hyperinflation episodes) create information vacuums that amplify volatility by allowing rumour-driven pricing to spread. Timely, credible statistical releases are themselves a stabilisation tool.

Chart note: Hyperinflation episodes produce volatility values that are unplottable on linear scales. Bar and scatter charts in this article cap (winsorise) volatility at the 95th-percentile threshold (~69.5 pp) for visual clarity. The table and all numeric figures throughout the article always reflect raw, unmodified data.

FAQ

What is inflation volatility, in plain English?

It measures how much the annual inflation rate jumps around from year to year. If a country's inflation is 5% one year, 6% the next, and 4% the year after, that's low volatility — you can roughly predict what's coming. If it's 4% one year, then 35%, then 8%, that's high volatility — you can't plan around it. This ranking computes the standard deviation of yearly CPI changes over ten years. A higher number means more unpredictable price swings.

Why use a 10-year window (2015–2024)?

A 10-year window is long enough to capture multiple business and policy cycles, including the 2021–2023 global inflation episode and earlier commodity booms, while being recent enough to be relevant for current risk assessment. Shorter windows (3–5 years) capture crises but miss recovery dynamics; longer windows (20+ years) incorporate structural changes that no longer reflect current policy frameworks. Ten years represents a pragmatic balance between stability and relevance. Countries with fewer than six valid data points in the window are excluded.

Does high average inflation always mean high volatility?

No — and this is one of the most important distinctions in this ranking. Some high-inflation countries have relatively stable (if elevated) inflation rates. Uruguay, for example, maintained average inflation of around 7–8% over this period with comparatively low volatility, because its inflation stayed within a predictable band. Iran, by contrast, shows both high average inflation and high volatility because the rate swings substantially from year to year. Conversely, Greece had near-zero average inflation over this window but some volatility due to deflation episodes in the early part followed by positive inflation later.

How do hyperinflation episodes affect the ranking?

Very strongly. Venezuela's volatility score of 19,638 pp is not a rounding error — it reflects CPI growth rates that moved from thousands of percent to hundreds of percent as partial dollarisation took hold. When one year's CPI is 10,000% and the next is 2,000%, the standard deviation is in the thousands. This creates a visual problem for charts (Venezuela makes all other bars invisible on a linear scale), which is why charts in this article apply winsorization. The ranking table always uses raw numbers. It makes sense to treat Venezuela and Zimbabwe as a separate category from the rest of the ranking.

Is the 2025 "Last YoY" figure a confirmed number or an estimate?

For most countries, 2025 CPI data as of this writing are still preliminary or IMF World Economic Outlook projections, which are updated twice yearly (April and October). Final national CPI outcomes can — and often do — differ from WEO projections, particularly for countries in crisis where data collection is disrupted. The 2025 column should be read as an indicative current inflation environment, not a certified statistical outcome. Where data is unavailable or unreliable (Lebanon, Sri Lanka), the field is marked "n/a."

Can a country reduce its inflation volatility quickly?

Rarely and rarely without significant short-term economic pain. Successful disinflation episodes — such as Israel in the 1980s, Brazil in the mid-1990s (Plano Real), or Argentina's current attempt — typically require simultaneous fiscal consolidation, exchange-rate anchoring, and a credible commitment to a new monetary regime. Even when successful, the path often runs through a recession, rising unemployment, and a period of financial sector stress. The volatility score also captures the transition itself: a country moving from 200% inflation to 50% in two years will show high volatility during that decade even if the end state is much better.

How should investors and businesses use this ranking?

This ranking works best as a first-pass risk screen, not a definitive verdict. Economies in the top 20–30 warrant explicit inflation risk management in any business plan: shorter contract tenors, price escalation clauses, FX exposure limits, and preference for USD or EUR invoicing. For financial modelling, sensitivity analysis around CPI assumptions becomes essential. Economies in the bottom 30 still carry some residual volatility from 2021–2023 but generally allow multi-year planning with standard inflation assumptions. Always triangulate with current monetary policy signals and fiscal trajectory — past volatility predicts future volatility only if the underlying structural drivers remain unchanged.

Primary data sources

All figures are compiled from open international databases and are rounded for analytical clarity. For formal research or policy work, consult the original databases and t

IMF — World Economic Outlook Database (PCPIPCH)

Annual consumer price inflation (%), all countries. Used as the primary CPI series for computing volatility (std dev), averages, peak values, and 2025 estimates. Updated April and October each year.
imf.org/en/Publications/WEO/weo-database

World Bank — World Development Indicators (WDI)

Supplementary CPI series (FP.CPI.TOTL.ZG) and GDP per capita PPP data used in the scatter chart. The WDI draws on national statistical agencies and harmonises series for cross-country comparability.
databank.worldbank.org/source/world-development-indicators

World Bank — International Comparison Program (ICP 2021)

Provides the purchasing power parity benchmarks underlying GDP per capita PPP values used in the scatter chart. The latest benchmark (ICP 2021) is now incorporated into WDI series.
worldbank.org/en/programs/icp

Bank for International Settlements (BIS) — Inflation Statistics

Used for cross-checking CPI series and consumer price methodology, particularly for countries where IMF and national statistical agency data differ materially.
bis.org/statistics/pp.htm

IMF — World Economic Outlook, Chapter 3 (Inflation Dynamics)

Analytical framework for interpreting inflation volatility, fiscal dominance, and exchange-rate pass-through. Provides the conceptual basis for the policy takeaways section.
imf.org/en/publications/weo

Our World in Data — Consumer Price Index by country

Long-run CPI time series used for historical context and validation, especially for countries where structural breaks in the data exist.
ourworldindata.org/inflation