Islamabad, April 24, 2026 – Pakistan’s weekly inflation, measured through the Sensitive Price Indicator (SPI), declined by 0.33% for the week ending April 23, 2026, according to the Pakistan Bureau of Statistics (PBS). The data reflects a mixed trend in essential commodity prices, with notable declines in perishable food items and fuel-related costs, while select household goods and proteins recorded increases.
The SPI tracks price movements of 51 essential commodities collected from 50 markets across 17 cities, providing a short-term snapshot of inflationary pressure on households.
According to the latest report, significant price decreases were observed in tomatoes, onions, diesel, and LPG, helping ease overall weekly inflation. However, upward pressure remained in items such as potatoes, bread, cooking oil, eggs, chicken, and mutton.
The year-on-year inflation trend, however, remains elevated at 13.98%, driven largely by energy costs and staple food items.
Weekly SPI Price Movement (April 23, 2026)
| Category | Item | Change |
| Decreased Prices | Tomatoes | -27.65% |
| Decreased Prices | Onions | -9.35% |
| Decreased Prices | Diesel | -8.35% |
| Decreased Prices | LPG | -7.08% |
| Decreased Prices | Garlic | -4.27% |
| Decreased Prices | Bananas | -0.47% |
| Decreased Prices | Wheat Flour | -0.37% |
| Decreased Prices | Sugar | -0.36% |
| Decreased Prices | Mustard Oil | -0.22% |
| Increased Prices | Potatoes | +3.13% |
| Increased Prices | Bread | +0.91% |
| Increased Prices | Cooking Oil (5L) | +0.69% |
| Increased Prices | Eggs | +0.61% |
| Increased Prices | Chicken | +0.44% |
| Increased Prices | Mutton | +0.45% |
| Stable/Overall Trend | SPI Weekly Change | -0.33% |
| Year-on-Year Inflation | Overall SPI | +13.98% |
Analysts say the mixed inflation trend reflects seasonal supply adjustments in vegetables and persistent cost pressures in energy and protein segments.
Despite the weekly decline, economists caution that inflationary risks remain due to fuel prices, currency fluctuations, and structural supply constraints in essential commodities.
