Weekly SPI increased by 0.65%

September 4, 2026 (MLN): Pakistan's short-term inflation, measured by the Sensitive Price Indicator (SPI), increased by 0.65% for the week ended September 3, 2026, according to data released by the Pakistan Bureau of Statistics (PBS).

The data highlights that the major increase is observed in the prices of Onions (26.30%), Tomatoes (2.55%), Potatoes (0.96%), Petrol (0.90%), Wheat Flour (0.88%), Chicken (0.85%), Pulse Mash (0.67%), Garlic (0.18%), Mustard Oil (0.13%) and Diesel (0.09 %).

On the other hand, decrease is observed in the prices of Bananas (2.54%), Pulse Moong (0.69%), LPG (0.45%), Sugar (0.18%), Eggs (0.11%), Pulse Gram (0.06%) and Gur (0.05%).

During the week, out of 51 items, prices of 17 (33.33%) items increased, 07 (13.73%) items decreased and 27 (52.94%) items remained stable.

On an annual basis, the SPI showed a year-on-year (YoY) increase of 8.35%.

Major increase is observed in the prices of Onions (162.75%), LPG (53.61%), Diesel (37.70%), Petrol (31.01%), Electricity for Q1 (25.24%), Wheat Flour (16.86%), Chilies Powder (16.37%), Bananas (16.07%), Mutton (16.03%), Beef (13.31%), Milk Fresh (8.21%) and Bread Plain (8.09%).

However, decrease is observed in the prices of Potatoes (31.61%), Chicken (23.50%), Sugar (19.38%), Eggs (18.18%), Salt Powder (13.96%), Pulse Gram (12.95%), Pulse Masoor (12.16%) and Pulse Moong (7.19%).

The average price of Sona Urea stood at Rs4,684 per 50kg bag, unchanged from the previous week and up 6.98% compared to the same period last year.

Meanwhile, the average cement price stood at Rs1,549 per 50kg bag, unchanged from the previous week and 9.99% higher than prices recorded last year.

The SPI, which tracks price movements of 51 essential commodities from 50 markets across 17 cities, serves as a key barometer of short-term inflation trends in Pakistan.

The indicator is computed on a weekly basis to assess price movements of essential items at shorter intervals, enabling policymakers to review the country's price situation in near real-time.

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