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Tag: India
Governments and policymakers usually announce how much money they spend to improve people's lives, including spending on disability. But a total figure, no matter how large, tells you almost nothing on its own. It doesn't tell you whether that money reaches the areas people actually need, whether it reinforces exclusion instead of fighting it, or whether it's even being spent at all. The real question isn't how much: it's how much of what, and toward what.
CIP’s Daniel Mont presented the Washington Group disability data tools at a COSP-19 side event organized by the Disability Data Initiative. The event explored progress and remaining gaps in disability statistics and data collection under Article 31 of the CRPD.
Learn how much accessibility really costs, why building it in from the start is more affordable, and how planning ahead can reduce retrofitting expenses.
Applications are now open for the 2026 CIP Fellowship Program, a 12-month initiative supporting junior researchers with disabilities from low- and middle-income countries to develop their research skills, conduct locally grounded projects, and connect with a global disability policy network.
Having a toilet isn’t the same as being able to use it. Most multidimensional poverty indices count services, but they don't ask whether those services are actually accessible for people with disabilities. So real deprivations for people with disabilities are not captured in the data, and it is invisible for public policies. If we want truly inclusive housing and infrastructure, accessibility aspects should be considered and the needs of people with disabilities have to show up in the numbers first.
Two surveys, same country, same questions — yet completely different disability prevalence estimates. A recent webinar unpacked why this happens, and why understanding the variation matters more than looking for a single "correct" number.
What if education gaps by disability are being measured incorrectly? Comparisons often mix all ages, but many people acquire disabilities after finishing school, and older generations had less access to education. Comparing everyone together distorts today’s picture of inclusion.
We are pleased to invite you to this webinar sponsored by the Washington Group on Disability Statistics (WG) and the Center for Inclusive Policy (CIP) and hosted by CIP, which will explore why disability prevalence estimates vary across data sources and what these differences mean for interpreting and using disability data.
Standard prevalence rates underestimate the true impact of disability. When linked, for example, to poverty or extra expenditures of living, its effects extend to entire households.
This webinar explores how South Sudan transformed the collection of data on students with disabilities through its Education Management Information System (EMIS), moving from manual records to digital tools and incorporating the Washington Group Questions. This shift significantly improved data accuracy, increasing the number of identified students with disabilities from 6,000 to over 41,000, and helping reshape national education policy to be more inclusive.