SEW (Supporting + Empowering Women) is a social enterprise that provides employment to HIV+ women in Arusha, Tanzania. SEW seeks to end the stigma associated with HIV by demonstrating that HIV+ women are resilient, industrious and capable.
The Sewing Mamas produce recycled items under the SEW label...See more
* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Frequently Asked Questions (FAQ)
What is the funding status of SEW (SUPPORTING + EMPOWERING WOMEN)?
What is the address of SEW (SUPPORTING + EMPOWERING WOMEN)?
Where is SEW (SUPPORTING + EMPOWERING WOMEN)'s headquarter?
What is SEW (SUPPORTING + EMPOWERING WOMEN)'s contact number?
Which countries does SEW (SUPPORTING + EMPOWERING WOMEN) operate in?
What SEW (SUPPORTING + EMPOWERING WOMEN)'s spending power?
Does SEW (SUPPORTING + EMPOWERING WOMEN) have a presence in the domain it operates in?
* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
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