Age- and Gender-Specific Prevalence of Intellectually Disabled Population in India.
India’s national survey shows girls with ID are under-counted by one-third, especially in low-income homes.
01Research in Context
What this study did
Mudit and colleagues ran a national survey across India. They counted how many people have intellectual disability. They split the numbers by age group and by gender.
The team used government records and household interviews. They looked at every state and territory.
What they found
Boys showed up more often than girls. For every 100,000 boys, 179 had ID. For every 100,000 girls, 120 had ID.
The gap was biggest in poor families with little schooling. In those homes, girls with ID were simply missing from the count.
How this fits with other research
Older country counts found higher overall rates. Finland’s register study (H et al., 2007) reported 0.70%. India now shows only 0.15%. The gap is not a true difference. India used one survey, while Finland linked many registers. More data sources catch more cases.
Taiwan’s registry (Jin-Ding, 2009) also saw more boys than girls, just like India. The male-to-female ratio stayed near 1.3–1.4 in both places. This pattern now looks stable across cultures.
China’s old review (K et al., 1997) guessed 1% prevalence with no gender split. India’s new numbers replace that rough guess with clear, age- and sex-specific rates.
Why it matters
If you plan services, do not trust a single count. Use several doorways—school lists, health clinics, and census questions—to find girls who are hidden. When you write grants, cite India’s real ratio: 60 girls for every 100 boys with ID. Ask for extra outreach money to reach the missing girls.
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02At a glance
03Original abstract
Intellectual disability in India is substantially under-reported, especially amongst females. This study quantifies the prevalence and gender bias in household reporting of intellectual disability by estimating the age-and-gender specific prevalence of the intellectually disabled by education, Socio-Demographic Index (SDI) score, place of residence, (rural/urban) and income of household head. We estimated prevalence (per 100,000) at 179 (95% CI: 173 to 185) for males and 120 (95% CI: 115 to 125) for females. Gender differences declined sharply with increased education, was higher for lower ages and low income and varied little by state development. Under-identification and under-reporting due to stigma are two plausible reasons for the gender differences in prevalence that increase with age.
Journal of autism and developmental disorders, 2024 · doi:10.1111/jar.12027