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Data · Prices, labour & income

Consumer price index (2010 = 100): Vietnam, 1995–2025

Latest (2025)
196.0 index points (2010 = 100)
Source
World Bank
Code
FP.CPI.TOTL
Frequency
Yearly
Download CSV Open at the source

Definition

Index of the prices of consumption goods and services, as compared to a certain reference period (2010=100).

What the series shows

The series runs from 1995 to 2025 (31 years of data). It moved from 40.2 to 196.0 index points (2010 = 100), a change of 387.9%. The highest value was 196.0 in 2025 and the lowest 40.2 in 1995. The comparison below sets Vietnam against 9 neighbouring economies on the latest available year.

Using it in a thesis

Indicators like this one are typical control or explanatory variables in macro and finance theses: merge the CSV with your other series on the year column, check for missing years before running a regression, and log-transform level variables that grow over time. If you use the series in a panel with other countries, take every country from the same source and vintage so the definitions match. Cite the original publisher, not this site, as shown below.

Values by year

YearValue (index points (2010 = 100))
2025196.0
2024189.7
2023183.1
2022177.3
2021171.9
2020168.8
2019163.5
2018159.1
2017153.6
2016148.4
2015144.6
2014143.6
2013138.0
2012129.5
2011118.7
2010100.0
200991.6
200885.8
200769.7
200664.3
200559.9
200455.3
200351.3
200249.7
200147.9
200048.1
199948.9
199847.0
199743.8
199642.4
199540.2

Comparison with other countries

CountryLatest yearValue
Vietnam2025196.0
Thailand2025122.4
Indonesia2025176.0
Malaysia2025134.6
Philippines2025162.3
Singapore2025134.4
Cambodia2025153.0
Laos2025317.2
Myanmar2019168.2
China2025132.6

How to cite (APA 7)

World Bank. (2026). Consumer price index (2010 = 100), Vietnam [Data set]. World Development Indicators. https://data.worldbank.org/indicator/FP.CPI.TOTL?locations=VN

Licence: Creative Commons Attribution 4.0 International (CC BY 4.0). Retrieved 2026-11-02. The CSV has one row per period with the variable name fp_cpi_totl, ready for Stata, R or SPSS.

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