Percent distribution of circumcised girls age 0-14 and women age 15-49 according to person performing the circumcision and type of circumcision.
Coverage:
Population base:
a) Circumcised girls age 0-14
b) Circumcised women age 15-49 (IR file)
Time period: Current status at time of survey
Numerators:
1) Number of circumcised girls age 0-14 (g121 = 1) or women age 15-49 (g102 = 1) where the person performing the circumcision was:
a) Traditional agent (girls: g124 in 21:26, women: g107 in 21:26)
· A traditional circumciser (girls: g124 = 21, women: g107 = 21)
· A traditional birth attendant (girls: g124 = 22, women: g107 = 22)
· Other traditional agent (girls: g124 = 26, women: g107 = 26)
b) Other (g124 = 96)
c) Medical professional (girls: g124 in 11:16, women: g107 in 11:16)
· Doctor (girls: g124 = 11, women: g107 = 11)
· Nurse/Midwife (girls: g124 = 12, women: g107 = 12)
· Other health professions (girls: g124 = 16, women: g107 = 16)
2) Number of circumcised girls age 0-14 (g121 = 1) or women age 15-49 (g102 = 1) where type of circumcision was:
a) Sewn close (girls: g123 = 1, women: g105 = 1)
b) Not sewn close (girls: g123 = 0, women: g105 = 0)
Denominator:
a) Number of circumcised girls age 0-14 (g121 = 1)
b) Number of circumcised women age 15-49 (g102 = 1)
Variables: IR file.
|
g102 |
Respondent circumcised (women) |
|
g105 |
Genital area sewn closed (women) |
|
g107 |
Person who performed circumcision (women) |
|
g123 |
Was daughter genital area sewn closed (girls) |
|
g121 |
Is daughter circumcised (girls) |
|
g124 |
Who performed daughter's circumcision (girls) |
|
v005 |
Women's sample weight
|
The data for who performed the circumcision and type of circumcision of 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 (IR file). Some surveys collect information on every daughter of the respondent. These variables will be labeled with an underscore to identify daughters (e.g., g124_01).
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.
For calculating these indicators for women age 15-49, divide the numerator by the denominator, then multiply by 100.
All categories of person performing circumcision and the “don’t know/missing” responses add up to 100 percent. Types of circumcision and the “don’t know/missing” responses add up to 100 percent.
Missing values are included with “don’t know” responses and included in a separate category as well as in the denominator.
The denominator includes all circumcised 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’s birth history. In the FGC module, no data is collected about circumcision of daughters of women who have never heard of FGC.
Prior 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.
DHS-8 Tabulation plan: Tables FGC.6 and FGC.7
API Indicator IDs:
Girls:
FG_PPCG_C_TRD, FG_PPCG_C_TCC, FG_PPCG_C_TBA, FG_PPCG_C_OTR, FG_PPCG_C_MED, FG_PPCG_C_DOC, FG_PPCG_C_NRS, FG_PPCG_C_OHP, FG_PPCG_C_DKM
FG_INFB_C_SWN, FG_INFB_C_NSW, FG_INFB_C_DKM
Women:
FG_PPCW_W_TRD, FG_PPCW_W_TCC, FG_PPCW_W_TBA, FG_PPCW_W_OTR, FG_PPCW_W_MED, FG_PPCW_W_DOC, FG_PPCW_W_NRS, FG_PPCW_W_OHP, FG_PPCW_W_OTH, FG_PPCW_W_DKM
FG_PFCT_W_CFR, FG_PFCT_W_CNF, FG_PFCT_W_SWN, FG_PFCT_W_DKM