Disability Data Cabo Delgado Metuge Chiure, 2021
Mozambique, 2021
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Reference ID
HDX_disability-data-cabo-delgado-metuge-chiure_vEXT
Producer(s)
Light for the World
Collections
Metadata
Created on
Oct 01, 2023
Last modified
Oct 01, 2023
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Identification
Survey ID Number
HDX_disability-data-cabo-delgado-metuge-chiure_vEXT
Title
Disability Data Cabo Delgado Metuge Chiure, 2021
Country
| Name | Country code |
|---|---|
| Mozambique | MOZ |
Abstract
Data on type of disability, cause of disability, gender and age distribution in Metuge and Chiure districts
Kind of Data
Census/enumeration data [cen]
Scope
Topics
| Topic |
|---|
| Basic Needs |
| Protection |
| Other |
Keywords
| Keyword |
|---|
| HDX |
Coverage
Geographic Coverage
Mozambique
Producers and sponsors
Primary investigators
| Name |
|---|
| Light for the World |
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2021-10-01 | 2021-12-31 |
Data Collection Notes
The advantage of the house-to-house survey compared to the Washington Group of Short Questions survey is that we have an indication of the various disability types, even though it has not been a medical diagnosis. However, as it has not been an all population survey, we do not know the disability prevalence.
• The data analysis leads to a number of interesting considerations that require further investigation before making any conclusions. For example,
- Why are some disability types more prevalent with women compared to men? (e.g. has it to do with responsibilities and tasks)
- Why is epilepsy (especially among children) so high? (e.g. is it related to other
illnesses – such as Nodding Syndrome in South Sudan and Uganda)
- Why is there such a huge number of children and youth with disabilities compared to adults and older people? (e.g. is that due to the house-to-house methodology, the questions asked, have adults and older people migrated less to safer IDP sites, etc)
• To answer the question what this analysis means in order to make humanitarian responses disability inclusive additional investigation would be needed on the barriers that persons with disabilities face, and how these barriers can be eliminated. See also the Disability Inclusive Rapid Gender Analysis report.
• The data analysis leads to a number of interesting considerations that require further investigation before making any conclusions. For example,
- Why are some disability types more prevalent with women compared to men? (e.g. has it to do with responsibilities and tasks)
- Why is epilepsy (especially among children) so high? (e.g. is it related to other
illnesses – such as Nodding Syndrome in South Sudan and Uganda)
- Why is there such a huge number of children and youth with disabilities compared to adults and older people? (e.g. is that due to the house-to-house methodology, the questions asked, have adults and older people migrated less to safer IDP sites, etc)
• To answer the question what this analysis means in order to make humanitarian responses disability inclusive additional investigation would be needed on the barriers that persons with disabilities face, and how these barriers can be eliminated. See also the Disability Inclusive Rapid Gender Analysis report.
Data Collectors
| Name |
|---|
| Light for the World |
Access policy
Citation requirements
Creative Commons Attribution International
http://www.opendefinition.org/licenses/cc-by
http://www.opendefinition.org/licenses/cc-by
Metadata production
DDI Document ID
HDX_disability-data-cabo-delgado-metuge-chiure_vEXT
Producers
| Name |
|---|
| HDX |
Date of Metadata Production
2023-03-03