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Short Name<\/strong><\/u>
\nType of female genital mutilation, sewn closed
<\/p>\n

Full Name<\/strong><\/u>
\nPercent distribution of women age 15 to 49 that have undergone female genital mutilation, sewn closed
<\/p>\n

Domain<\/strong><\/u>
\nGender equality
<\/p>\n

Sub-domain<\/strong><\/u>
\nFemale genital mutilation
<\/p>\n

Definition<\/strong><\/u>
\nPercent distribution of women age 15 to 49 that have undergone female genital mutilation, sewn closed.
<\/p>\n

Method of Calculation<\/strong><\/u>
\n
Data source specific method of calculation:<\/em>
\n
DHS:<\/strong>
Numrator: Number of women aged 15 to 49 years where type of circumcision was sewn closed.\n
Denominator:<\/em>
Number of circumcised women aged 15 to 49 years.\n
Calculation:<\/em>
Divide the numerators by the denominator, then multiply by 100.
<\/p>\n

Expected Frequency of Data Dissemination<\/strong><\/u>
\nAnnual
<\/p>\n

Geospatial Dimension Availability<\/strong><\/u>
\nCountry (geolev0), Sub-national level 1 (geolev1)
<\/p>\n

Time Dimension Availability<\/strong><\/u>
\n1995, 1996, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2008, 2010, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
<\/p>\n

Disaggregation Dimension Availability<\/strong><\/u>
\nAge group: 15 to 19 years old, 15 to 24 years old, 15 to 49 years old, 20 to 24 years old, 20 to 29 years old, 25 to 29 years old, 25 to 34 years old, 30 to 34 years old, 30 to 39 years old, 35 to 39 years old, 35 to 49 years old, 40 to 44 years old, 40 to 49 years old, 45 to 49 years old<\/em>
Education level: Higher, No education, No education or primary education, Primary education, Secondary education, Secondary education or higher<\/em>
Place of residence: Rural, Urban<\/em>
Sex: Female<\/em>
Wealth index: Middle, Poorer, Poorest, Richer, Richest<\/em>
<\/p>\n

Comments<\/strong><\/u>
\nAll categories of types of circumcision and the \u201cdon\u2019t know/missing\u201d responses add up to 100 percent.
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