Getting around: switch topics in the sidebar on the left. Each topic has a few charts stacked below — scroll down for more. Hover any chart for detail, click bars or sectors to filter, and use the sidebar to focus a sector or sub-sector, drag the year cursor, or pick which budget lines to trend. ↓ CSV on any chart downloads its data.
Seven decades of structural change — sector shares of GDP, %
Share of value added from agriculture, industry and services since 1951-52. Click a band to focus a sector, click or drag anywhere to move the year cursor.
Before 1999-2000 (hatched or dashed) shares are backcast from PBS's official real sectoral growth rates, anchored at 1999-2000 — indicative only, since rebasings and relative-price shifts are ignored. From 1999-2000 onward shares are as published in the national accounts (2015-16 base). Industry pre-1999 is the residual after agriculture and services.
The economy in —— % of GDP (GVA)
What produced value that year. Detail is available from 1999-2000; earlier years show the three-sector split. Click a bar to focus that sector; move the year cursor in the sidebar. (A sector's growth over time lives under Composition of growth.)
Composition of growth — contributions to real GDP growth, percentage points
Each year's growth split into the parts each sector supplied: last year's share of the economy multiplied by this year's real growth. Bars above zero added to growth, below zero subtracted; the black line is headline GDP growth. Click a year to break it down below.
A decomposition, not a causal story: it says where growth showed up, not what caused it. Contributions sum to headline GDP growth up to a small residual (mean 0.2pp) from rounding and the taxes-less-subsidies bridge between GVA and GDP. Available from 2000-01, when PBS's detailed sector growth series begins. Growth rate shows the "growth" factor behind these contributions for the sector focused in the sidebar.
Breakdown for —— percentage points of GDP growth
Who added and who subtracted in the selected year, ranked. Move the year in the sidebar, or click a bar in the contributions chart above.
Growth engines over time — average contribution per year, pp
Average annual contribution across each period — how the sources of growth themselves changed.
Periods: 2000s (2000-01→2007-08), energy crisis (2008-09→2012-13), CPEC era (2013-14→2019-20), COVID & after (2020-21→2025-26).
Inside industry: two decades of factory output — LSM production index, 2015-16 = 100
Annual production indices of large-scale manufacturing sectors, spliced across the 2005-06 and 2015-16 base changes. Click chips (or bars in the weights chart below) to add or remove sectors.
Series before 2015-16 (dashed) are the old 2005-06-base indices linked at the overlap year — coverage and weights differ across bases, so treat cross-base comparisons as approximate. "Electrical equipment" is linked to the old "Electronics" group. QIM is the overall index (78.4% of LSM value added).
Month by month — overall QIM, 2015-16 = 100
The monthly Quantum Index of Manufacturing since July 2016 — sugar season spikes, the COVID collapse, and the 2022-23 import-squeeze recession. Bars show year-on-year change.
What weighs what in the index — weight in QIM, %
Each sector's weight (from the 2015-16 manufacturing census) and its production change this fiscal year. Click a bar to toggle it in the chart above.
Growth is Jul–May 2025-26 vs the same period last year.
How registered manufacturing changed between two censuses — CMI 2005-06 vs 2015-16
The Census of Manufacturing Industries counts every registered factory (10+ employees) roughly once a decade. Between the last two rounds, reporting establishments went from 8,680 to 42,578 and employment from 1.10 m to 2.34 m. Each row shows an industry's share of the manufacturing total in 2005-06 and in 2015-16.
Shares of all manufacturing, so the two censuses stay comparable despite the large jump in coverage. The textile story is the headline: 46% → 30% of factory employment and 27% → 20% of value added between 2005-06 and 2015-16 — while non-metallic minerals (cement, bricks) and apparel surged. Hover for absolute numbers. The 2015-16 round is the most recent census PBS has published.
How sectors feed each other — input-output flows, 2015-16, Rs bn
Focus puts one sector in the middle and shows who supplies it and who buys from it; Circle shows every flow at once; Grid is the full matrix. Click any sector to focus it.
A 2015-16 snapshot — this is the only Supply-Use / Input-Output table the Pakistan Bureau of Statistics has published, so it cannot be shown as a trend. Flows are intermediate consumption at basic prices between 12 aggregated sectors; a sector's use of its own output is excluded from the circle view and shown separately in focus view.
The state's own ledger: the federal budget — Rs, grouped by category
Each block is a budget line; area is its share. Hover for detail.
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Show categories
Treemap shows one budget year (use the slider); Trend stacks the top-level categories over every available year. Receipts are FBR tax + non-tax revenue (before the provincial share under the NFC Award), from the Explanatory Memorandum on Federal Receipts, 2009-10 to 2026-27. Expenditure shown is current spending — debt servicing, defence, pensions, running the government — from the "Budget in Brief"; development (PSDP) is budgeted separately and not included here. In Trend view the Real 2015-16 toggle deflates by the GDP deflator.
Sources. Sector shares, growth & contributions: PBS National Accounts (2015-16 base; Macro Economic Indicators 1951-52→, real growth Table 6, sectoral shares Table 7b). LSM & QIM: PBS Industry Statistics — monthly QIM trend sheet and annual Table-2 production indices on the 2015-16 and 2005-06 bases, retrieved Aug 2026. Manufacturing censuses: PBS CMI 2005-06 and 2015-16 reports. Input-output: PBS Supply-Use & Input-Output Tables 2015-16. Budget: Finance Division — Budget in Brief & Explanatory Memorandum on Federal Receipts (FY2009-10→2026-27). Full detail lives in the project's DuckDB warehouse (lsm_qim, lsm_sector_indices, national_accounts, budget_lines).
Data DarbarPakistan in Numbers