1. DISABILITY DISAGGREGATION
Go Back 1.1 Disaggregation Based on Disability
Disability is measured through the WGSS questions in MICS6 women’s questionnaire.
Disaggregation can be done in several ways. First, disaggregation is done for women with no difficulty vs any difficulty (disaggregation A).
Disaggregation is done in two additional ways, which take into account the severity of functional difficulties. First, we use three categories: women with no difficulty vs some difficulty vs at least a lot of difficulty (disaggregation B).
Then, we compare women with no difficulty and some difficulty to women with at least a lot of difficulty in line with the Washington Group recommendation (disaggregation C).
For a given subgroup in a disaggregation (e.g. women with at least a lot of difficulty), we set 50 observations as the minimum required to produce estimates. For a given country and subgroup, disaggregation may be possible for some indicators but not others.
In Results Tables, the difference between groups and its statistical significance is typically noted in a separate column. A disability gap represents a statistically significant disadvantage for persons with functional difficulties compared to persons with no functional difficulty. Statistical significance is based on a t-test (*, **, and *** at the 10%, 5% and 1% levels respectively). As indicators reflect achievements (e.g. literacy) or deprivations (e.g. less than primary school completion), a disability gap may be reflected in a positive or a negative difference.
1.2 Disaggregation Based on Disability and Demographic Characteristics
There may be patterns of intersectional disadvantage that affect subgroups of women with disabilities. For each data set under consideration, we tried to disaggregate results at the individual level based on disability as well as age group and rural/urban residence. Double disaggregation tables by disability and a demographic characteristic are available in Results Tables for women in rural areas, urban areas, age 18 to 29 and age 30 to 44.