opendoc-pakistan/pakistan_inflation_and_prices

Pakistan Inflation and SPI Prices

Official Pakistan Bureau of Statistics inflation and price data: CPI/WPI historical indices, inflation rates, weekly SPI city-item prices, weekly SPI summaries and item changes, and monthly SPI city-item average prices.

Source: OpenDoc Pakistan

Pakistan Inflation and SPI Prices

Summary

This dataset contains official Pakistan Bureau of Statistics (PBS) inflation and price data, including historical CPI/WPI index values, historical year-on-year inflation rates, latest monthly inflation-rate tables, weekly Sensitive Price Indicator (SPI) city-item prices, weekly SPI expenditure-group summaries, weekly item-level price-change tables, and monthly SPI city-item average prices.

Dataset Details

• —Dataset ID: pakistan-inflation-and-prices
• —Version: 0.1.0
• —Category: Economy and Finance
• —Tags: finance, inflation, cpi, spi, wpi, prices, pakistan, pbs
• —Language: English
• —Geography: Pakistan
• —Time Period: 2017-07 - 2026-07
• —File Formats: CSV
• —Records: 106,593 parsed data observations plus 83 source-inventory records
• —Update Frequency: Weekly/monthly at source
• —Maintainer: OpenDoc Data Stewardship Team

Source and Provenance

• —Source Name: Pakistan Bureau of Statistics (PBS), Price Statistics
• —Source URL: https://www.pbs.gov.pk/price-statistics/
• —Primary Source Files:
• —https://www.pbs.gov.pk/wp-content/uploads/2020/07/indices.pdf
• —https://www.pbs.gov.pk/wp-content/uploads/2020/07/Monthly-Review-June-2026.pdf
• —PBS weekly SPI Excel annex/report files linked from the Price Statistics page
• —PBS monthly SPI prices Excel annex files linked from the Price Statistics page
• —Source Type: Official national statistical office publication
• —Collection Date: July 5, 2026
• —Processing Pipeline: Downloaded official PBS source files, parsed embedded-text PDF tables with pypdf, parsed Excel workbooks through Open XML, normalized repeated city/item workbook blocks into long CSVs, corrected one malformed PBS link path (wp-contet to wp-content), and wrote source-inventory files for auditability.
• —OCR Decision: OCR was checked but not used. The PBS PDFs sampled have extractable text layers, and the largest SPI city/item tables are available as Excel. OCR would have reduced structural reliability for this package.
• —Raw Data Availability: Public on the PBS Price Statistics page.

License

• —Original License: PBS public website data; explicit open redistribution license not found.
• —Repository License: LicenseRef-PBS-Public-Website
• —Attribution Required: Yes, cite Pakistan Bureau of Statistics.
• —Commercial Use: No explicit restriction found in the source page reviewed.
• —Redistribution: No explicit restriction found in the source page reviewed; use with attribution to PBS.
• —Restriction: Do not label as CC-BY or public domain unless PBS publishes explicit open-license terms.

Data Structure

CSV files are in data/processed/.

• —price_indices_historical.csv: monthly CPI/WPI index values from indices.pdf, 2017-07 to 2025-01.
• —inflation_yoy_historical.csv: monthly historical year-on-year CPI/WPI inflation rates from indices.pdf, 2017-07 to 2025-01.
• —monthly_inflation_rates_latest.csv: PBS latest review Table 1.a monthly inflation rates, 2024-09 to 2026-06.
• —weekly_spi_city_item_prices.csv: weekly SPI essential-item min/avg/max prices by city, 2025-10-23 to 2026-07-02.
• —weekly_spi_summary.csv: weekly SPI by expenditure group/quintile and combined, 2025-10-23 to 2026-07-02.
• —weekly_spi_item_changes.csv: weekly item-level SPI price changes, weights, and impact, 2025-10-23 to 2026-07-02.
• —monthly_spi_city_item_prices.csv: monthly city-item average prices for SPI items and non-index essential items, 2025-07 to 2026-06.
• —source_inventory_weekly.csv: weekly source-file inventory and parsed row counts.
• —source_inventory_monthly.csv: monthly source-file inventory and parsed row counts.

Data Dictionary

See data_dictionary.csv.

Quality Report

• —Quality Score: 94 / 100
• —Validation Status: CSV validation passed.
• —Duplicate Keys: 0 duplicate primary keys in parsed tables.
• —Source Parse Errors: 0 after correcting the malformed PBS path typo.
• —Missing Values: Missing and not-available price cells are represented through availability_status.
• —Known Issues: Some PBS weekly annex cells report 0 for unavailable city/item prices. These are not treated as real prices; price_pkr/average_price_pkr is blank and availability_status is reported_zero.

Privacy and Sensitivity Review

• —Privacy Level: P0 (aggregate official statistics, no personal data)
• —Personal Data Present: No
• —Sensitive Data Present: No
• —Redactions Applied: None

Bias, Gaps, and Limitations

• —The indices.pdf historical archive currently parses through January 2025; the latest monthly review extends high-level inflation rates through June 2026.
• —Weekly Excel sources currently available with complete workbook structure cover October 23, 2025 through July 2, 2026.
• —Item-level prices are official published observations and should be interpreted with PBS collection methodology.
• —Source terms do not state an explicit open-data license.

Example Usage

import pandas as pd

weekly = pd.read_csv("data/processed/weekly_spi_city_item_prices.csv")
weekly["week_end_date"] = pd.to_datetime(weekly["week_end_date"])
avg_wheat = weekly[
    (weekly["item_description"] == "Wheat Flour Bag")
    & (weekly["price_type"] == "avg")
    & (weekly["availability_status"] == "reported")
]
print(avg_wheat.tail())

Citation

Pakistan Bureau of Statistics, "Price Statistics", curated as "Pakistan Inflation and SPI Prices" by OpenDoc Pakistan (OpenDoc), v0.1.0, 2026.