Parents’ Attitudes Towards Their Daughter’s First Delivery
English: % of [select: mothers / fathers ] who do not think that their daughter should deliver her first child before the age of 20
French: % [určete: matek / octů], kteří si nemyslí, že by jejich dcera měla porodit své první dítě dříve než ve 20 letech
Czech: % de [sélectionner: mères / pères] qui ne pensent pas que leur fille devrait avoir son premier enfant avant l’âge de 20 ans
What is its purpose?
According to UNFPA, adolescent girls are twice as likely to die during pregnancy or childbirth as women in their 20s and their children are more likely to be undernourished. Early age at first birth also decreases women’s education and income-generating opportunities. This indicator therefore measures the proportion of either fathers or mothers who do not think that their daughter should deliver her first child before the age of 20.
How to Collect and Analyse the Required Data
Collect the following data by conducting individual interviews with a representative sample of either fathers or mother of girls aged 10 to 17 years:
RECOMMENDED SURVEY QUESTIONS (Q) AND POSSIBLE ANSWERS (A)
Q1: Do you have one or more daughters aged 10 to 17 years?
1) yes, one daughter aged 10 - 17 years
2) yes, more than one daughter aged 10 - 17 years
3) no, does not have a daughter aged 10 - 17 years
(ask the following question only if the previous answer is YES)
Q2: Has she / have they delivered a baby?
A2: yes / no
(ask the following question only if the previous answer is NO)
Q3: If you consider your family’s situation and the attitudes of different family members, what is the ideal age at which your daughter(s) should deliver the first baby?
1) specify the age: __________________
To calculate the indicator’s value, divide the number of respondents who do NOT think that their daughter(s) should deliver her first child before the age of 20 or later by the total number of respondents with daughter(s) aged 10 to 17 years. Multiply the result by 100.
1) Disaggregate the data by the respondent’s ethnicity, education level, wealth category, and other factors depending on the local context.