Disability, Independence and Dependency Situations Survey 
Employment and Education. National results: Absolute figures
Population 16 to 64 years old with disabilities, according to their relation with activity, by type of municipality and sex
Units: thousands of persons 16 to 64 and years old

,Total,,,Provincial capitals and municipalities with more than 100,000 inhabitants,,,50,000 to 100,000 inhabitants,,,From 20,000 to fewer than 50,000 inhabitants,,,From 10,000 to fewer than 20,000 inhabitants,,,Fewer than 10,000 inhabitants,,,
,Both sexes,Males,Females,Both sexes,Males,Females,Both sexes,Males,Females,Both sexes,Males,Females,Both sexes,Males,Females,Both sexes,Males,Females,
Total,1,482.1,703.8,778.3,641.9,292.7,349.1,144.4,66.5,77.9,228.4,107.9,120.5,170.2,85.6,84.5,297.2,151.1,146.2,
Working,419.1,234.7,184.4,191.6,102.9,88.7,35.7,17.7,17.9,66.5,35.1,31.4,44.7,27.9,16.9,80.7,51.1,29.6,
Unemployed,107.0,48.8,58.2,43.9,19.7,24.2,11.8,5.1,6.7,20.0,9.4,10.5,12.7,5.3,7.4,18.6,9.3,9.2,
Receiving a contributory retirement or permanent disability pension,451.4,268.6,182.8,189.6,105.8,83.8,40.2,24.9,15.3,66.2,40.5,25.7,53.7,33.9,19.7,101.7,63.5,38.3,
Receiving another type of pension,158.3,66.9,91.4,68.5,27.1,41.4,17.3,7.4,9.8,23.8,9.9,14.0,17.0,8.9,8.1,31.6,13.5,18.2,
Incapacitated to work,85.9,39.9,46.0,35.3,16.3,19.0,11.4,6.0,5.4,12.9,5.9,7.0,9.1,3.7,5.4,17.2,7.9,9.3,
Studying,33.9,20.9,13.0,17.4,11.8,5.6,4.3,2.3,2.0,3.9,2.2,1.7,4.1,2.4,1.8,4.2,2.3,1.9,
Mainly dedicated to household chores,183.6,1.1,182.5,79.2,0.9,78.3,18.1,0.2,18.0,27.4,0.0,27.4,22.6,0.0,22.6,36.3,0.0,36.2,
Carried out unpaid social work or charity activities,1.8,0.6,1.2,0.6,0.2,0.5,0.2,0.0,0.2,0.4,0.0,0.4,0.0,0.0,0.0,0.6,0.5,0.1,
Another situation,41.1,22.4,18.7,15.7,8.1,7.6,5.5,2.9,2.6,7.3,5.0,2.4,6.2,3.5,2.6,6.4,3.0,3.4,
No data recorded,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
Notes:
1) The data corresponding to cells with fewer than 5 thousand persons must  be viewed with caution, because it may be affected by  large sampling errors. 
  
Source: National Statistics Institute