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Non-Oil GDP Share: 55% 2025 real GDP |Saudi Unemployment: 7.2% Q4 2025 |PIF AUM: $925B 2025 approx. |FDI Share of GDP: 2.8% 2025 latest |Female Participation: 35.0% 2025 latest |Credit Rating: Aa3/A+/A+ Moody's/Fitch/S&P |GDP Growth: 4.5% 2025 actual |Umrah Pilgrims: 18M+ 2025 foreign |Non-Oil GDP Share: 55% 2025 real GDP |Saudi Unemployment: 7.2% Q4 2025 |PIF AUM: $925B 2025 approx. |FDI Share of GDP: 2.8% 2025 latest |Female Participation: 35.0% 2025 latest |Credit Rating: Aa3/A+/A+ Moody's/Fitch/S&P |GDP Growth: 4.5% 2025 actual |Umrah Pilgrims: 18M+ 2025 foreign |

Vision 2030 Open Data — Citable Datasets

Free downloadable CSVs covering Saudi Arabia's Vision 2030 KPIs, sectors, institutions, and macro indicators. Citable, machine-readable, attribution required.

Vision2030.ai’s open data hub provides citable CSV files for Saudi Vision 2030 research, beginning with KPI datasets tied to tracker articles and official sources.

All files are machine-readable and refreshed with each site rebuild. Use of this data requires attribution to vision2030.ai per our terms.

The data hub is designed for analysts who need repeatable inputs rather than screenshots or isolated figures. Each dataset is structured so it can be loaded into spreadsheets, research notebooks, dashboards, and internal diligence memos without manually re-keying values from article pages. Where a metric appears in the KPI tracker, the downloadable file is intended to preserve the same unit, baseline, target, latest value, and source context used in the editorial analysis.

Coverage prioritizes indicators that are central to the Saudi transformation thesis: fiscal diversification, non-oil GDP, employment, tourism, private-sector participation, capital markets, infrastructure delivery, and sector-level investment capacity. The goal is not to mirror every public data release. It is to extract the fields that matter for evaluating whether Vision 2030 is moving from policy announcement to measurable implementation.

Files are refreshed as part of the site build workflow, which keeps the public dataset aligned with the underlying content corpus. If a tracker article is updated because an official source revised a figure, the corresponding dataset should move with it. This makes the hub suitable for citation trails, audit work, and longitudinal comparisons where stale values can distort the interpretation of progress.

Use the datasets as starting points, not as investment advice. The numbers should be read alongside the methodology and caveats in the relevant tracker or sector article, especially when official definitions change, baselines are restated, or programme targets are revised.

Available datasets

DatasetFormatSizeDownload
Vision 2030 KpisCSV4 KB/data/vision-2030-kpis.csv

How to cite

Suggested citation format:

Vanderbilt Portfolio. [Dataset]. vision2030.ai. https://vision2030.ai/data/. Accessed .

Licence

All datasets are made available under the same terms as the vision2030.ai editorial content: free to cite with attribution, not licensed for AI model training. See licensing terms for full details.

Sources & methodology

Each KPI dataset is compiled from official Saudi government releases (Vision 2030 Annual Reports, GASTAT, SAMA, MoF, Ministry of Investment), multilateral institutions (IMF, World Bank, OECD), and corporate disclosures (Aramco, PIF portfolio companies, Tadawul filings). Source citations are documented inline in the corresponding tracker article for each KPI.

Vision 2030 source library: PDFs, official documents, maps, images, and data sources

Official Vision 2030 source library for PDFs, reports, maps, image sources, portals, and data verification.

Updated May 26, 2026