{ "culture": "en-US", "name": "hv_i44d6_gl2", "guid": "9FC2C25B-8B03-4F2F-9546-D0AFD8C68412", "catalogPath": "", "snippet": "Percent distribution of women age 15 to 49 that have undergone female genital mutilation, by a doctor, Country (geolev0), Trend Data", "description": "
Short Name<\/strong><\/u> Full Name<\/strong><\/u> Domain<\/strong><\/u> Sub-domain<\/strong><\/u> Definition<\/strong><\/u> Method of Calculation<\/strong><\/u> Expected Frequency of Data Dissemination<\/strong><\/u> Geospatial Dimension Availability<\/strong><\/u> Time Dimension Availability<\/strong><\/u> Disaggregation Dimension Availability<\/strong><\/u>
\nPerformer of female genital mutilation, by a doctor
<\/p>\n
\nPercent distribution of women age 15 to 49 that have undergone female genital mutilation, by a doctor
<\/p>\n
\nGender equality
<\/p>\n
\nFemale genital mutilation
<\/p>\n
\nPercent distribution of circumcised women age 15-49 according to person performing the circumcision.
<\/p>\n
\n
Data source specific method of calculation:<\/em>
\n
DHS:<\/strong>
Numerator:<\/em>
Number of circumcised women aged 15 to 49 years where the person performing the circumcision was a doctor.\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.\nAll categories of person performing circumcision and the \u201cdon\u2019t know/missing\u201d responses add up to 100 percent.
<\/p>\n
\nAnnual
<\/p>\n
\nCountry (geolev0)
<\/p>\n
\n1990, 1995, 1996, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2008, 2010, 2012, 2013, 2014, 2015, 2016, 2018, 2019, 2020
<\/p>\n
\nAge group: 15 to 49 years old<\/em>
Sex: Female<\/em>
<\/p>",
"summary": "Percent distribution of women age 15 to 49 that have undergone female genital mutilation, by a doctor, Country (geolev0), Trend Data",
"title": "hv_i44d6_gl2",
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"spatialReference": "GCS_WGS_1984",
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