Abstract
Saudi Arabia has expanded social protection, rehabilitation, and assistive support for persons with disabilities; however, the open-data evidence related to these programs remains scattered across separate administrative tables. This study examined seven national open government datasets related to persons with disabilities to analyze service utilization and socioeconomic inclusion across age, gender, disability type, education, employment, and marital status. A secondary descriptive analytical design was used. Arabic CSV datasets were cleaned, translated, and harmonized. Exact-count datasets were summarized using beneficiary and device totals, percentages, cross-tabulations, chi-square tests, and Cramer’s V measures of association. Range-coded datasets were treated as ordinal reporting cells. Financial subsidy records included 847,194 beneficiaries, of whom 448,064 (52.9%) were recorded with physical disabilities. Medical assistive device records included 161,967 beneficiaries and 500,362 devices, with an average device-to-beneficiary ratio of 3.09. Residential care included 101,552 beneficiaries, with a strong concentration among males and adults aged 26-35 years. Vocational rehabilitation included 12,382 beneficiaries, concentrated mainly among adults aged 26-55 years and persons with no formal education. Range-coded education, employment, and marital-status tables showed repeated high-volume (>1000) cells, especially for physical disability, non-working status, and no formal education. These datasets provide a useful basis for national monitoring, although their current structure limits causal analysis and individual-level linkage. Stronger harmonization, exact-count reporting, regional indicators, and service-pathway identifiers would improve evaluation of disability policy.