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Short Name<\/strong><\/u>
\nAge at female genital mutilation among young girls, before age 1
<\/p>\n

Full Name<\/strong><\/u>
\nPercentage of girls have undergone female genital mutilation before age 1
<\/p>\n

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

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

Definition<\/strong><\/u>
\nPercent distribution of circumcised girls age 0-14 by age at circumcision, circumcised before age 1.
<\/p>\n

Method of Calculation<\/strong><\/u>
\n
Data source specific method of calculation:<\/em>
\n
DHS:<\/strong>

Numerator:<\/em>
Number of girls circumcised before age 1.\n
Denominator:<\/em>
Number of girls age 0-14 circumcised.\n
Calculation:<\/em>
The data for the calculating prevalence of circumcision among girls age 0-14 are based on reports of daughters from the female survey respondents. This information is stored as part of the individual recode dataset. Some surveys collect information on every daughter of the respondent. These variables will be labeled with an underscore to identify daughters. Before using the information regarding daughters, it is necessary to transform the data into a daughter file where the daughter, rather than the survey respondent, is the unit of analysis. In Stata this is done with the reshape long command and in SPSS with the varstocases command. This is only necessary if information was collected about more than the youngest daughter.
<\/p>\n

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

Geospatial Dimension Availability<\/strong><\/u>
\nCountry (geolev0)
<\/p>\n

Time Dimension Availability<\/strong><\/u>
\n2010, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
<\/p>\n

Disaggregation Dimension Availability<\/strong><\/u>
\nAge group: Under 1 year old<\/em>
<\/p>\n

Comments<\/strong><\/u>
\nThe denominator includes all living daughters age 0-14 of all women who participate in the FGC module. The number of daughters age 0-14 is taken from the woman\u2019s birth history. In the FGC module, no data is collected on the circumcision status of daughters of women who have never heard of FGC, though in this indicator they are all assumed to be \u2018not circumcised.\u2019\nCircumcision status of girls is reported by their mothers. Age groups and those not circumcised add up to 100 percent.\nPrior to August 2013, daughters of women who had not heard of FGC were excluded from this indicator, and thus from the denominator of the estimate of FGC prevalence among daughters age 0-14. In order to compare trends between surveys, if the prior survey report was completed before August 2013, the indicator for the prior survey must include daughters of women who have not heard of FGC.
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This information is stored as part of the individual recode dataset. Some surveys collect information on every daughter of the respondent. These variables will be labeled with an underscore to identify daughters. Before using the information regarding daughters, it is necessary to transform the data into a daughter file where the daughter, rather than the survey respondent, is the unit of analysis. In Stata this is done with the reshape long command and in SPSS with the varstocases command. This is only necessary if information was collected about more than the youngest daughter.\nExpected Frequency of Data Dissemination\nAnnual\nGeospatial Dimension Availability\nCountry (geolev0)\nTime Dimension Availability\n2010, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020\nDisaggregation Dimension Availability\nAge group: Under 1 year old\nComments\nThe denominator includes all living daughters age 0-14 of all women who participate in the FGC module. The number of daughters age 0-14 is taken from the woman\u2019s birth history. In the FGC module, no data is collected on the circumcision status of daughters of women who have never heard of FGC, though in this indicator they are all assumed to be \u2018not circumcised.\u2019\nCircumcision status of girls is reported by their mothers. Age groups and those not circumcised add up to 100 percent.\nPrior to August 2013, daughters of women who had not heard of FGC were excluded from this indicator, and thus from the denominator of the estimate of FGC prevalence among daughters age 0-14. 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