pricinginflationCPIconsumer-pricesmacroeconomicsglobaltime-serieseconomicscost-of-living

Consumer Price Index & Inflation by Country

1960–2024

Free

Open dataset

Sample structure: 100 / 100

5 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: World Bank Open Data; OECD Data
Collection method: uploaded
Coverage / snapshot: 1960–2024
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: OECD Data: https://data-explorer.oecd.org/

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	50 / 50	120 of 120 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	120 of 120 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
id	0 / 10	number	0 / 10
country	0 / 10	string	0 / 10
iso_code	0 / 10	string	0 / 10
region	0 / 10	string	0 / 10
income_group	0 / 10	string	0 / 10
year	0 / 10	number	0 / 10
category_name	0 / 10	string	0 / 10
category_code	0 / 10	string	0 / 10
cpi_index_2015_base	0 / 10	number	0 / 10
annual_inflation_pct	0 / 10	number	0 / 10
basket_weight_pct	0 / 10	number	0 / 10
population_millions	0 / 10	number	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Longitudinal dataset of consumer price indices and inflation rates across 91 countries and 12 COICOP expenditure categories, with CPI indices (base year 2015=100), annual inflation percentages, and category-level basket weights. Sourced from World Bank, IMF, OECD, UN Statistics Division, and national statistical offices.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 591237a0-c0d7-438c-b439-ecff198cad6b --output dataset.bin

Full supplier documentation

Original supplier listing: Consumer Price Index & Inflation by Country (1960–2024) Longitudinal dataset tracking consumer price indices and inflation rates across 91 countries, 12 COICOP expenditure categories, and 65 years (1960–2024). Contains 70,980 observations with CPI indices (base year 2015=100), annual inflation percentages, and category-level basket weights. ## Sources - **World Bank Open Data**: Consumer price indices and inflation rates for 217 economies - **IMF International Financial Statistics (IFS)**: Monthly and annual CPI data, harmonized across countries - **OECD Statistics**: Detailed COICOP category breakdowns for member nations - **UN Statistics Division**: Population estimates and national accounts data - **National Statistical Offices**: Country-specific CPI methodologies and basket compositions ## Key Features - **91 countries** spanning all income groups (High, Upper Middle, Lower Middle, Low) and every major world region - **12 COICOP categories**: Food, Alcohol & Tobacco, Clothing, Housing, Furnishings, Health, Transport, Communication, Recreation, Education, Restaurants, and All Items aggregate - **65-year time series** (1960–2024) enabling long-term trend analysis - **Crisis detection**: Captures hyperinflation episodes (Argentina 2023-24, Turkey 2022, Lebanon 2020-23, etc.) - **Global shock indicators**: Reflects 2008 financial crisis, COVID-19 deflationary effects, and 2021-22 post-pandemic inflation surge - **Income-group stratification**: Enables comparison of price dynamics across development levels ## Use Cases - Macroeconomic research and inflation forecasting - Cross-country purchasing power analysis - Cost-of-living comparisons and expatriate pricing models - Monetary policy impact studies - Supply chain cost modeling across geographies - Academic research on inflation dynamics and transmission mechanisms

Schema

Name	Type	Description
id	string
country	string
iso_code	string
region	string
income_group	string
year	string
category_name	string
category_code	string
cpi_index_2015_base	string
annual_inflation_pct	string
basket_weight_pct	string
population_millions	string

Sample Data

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Consumer Price Index & Inflati" })
// Found: 591237a0-c0d7-438c-b439-ecff198cad6b
get_download_url({ dataset_id: "591237a0-c0d7-438c-b439-ecff198cad6b" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/591237a0-c0d7-438c-b439-ecff198cad6b/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"