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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>
\nUnmet need for family planning, sexually active unmarried women
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\nPercentage of sexually active unmarried women aged 15 to 49 who want to stop or delay childbearing but are not using any method of contraception
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\nFamily planning
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\nUnmet need
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\nProportion of sexually active unmarried women aged 15-49 who want to stop or delay childbearing but are not using any method of contraception.
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\n
Data source specific method of calculation:<\/em>
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Global database:<\/strong>
Unmet need for family planning (UMN) measures the gap between women\u2019s reproductive intentions and their contraceptive behaviour. It is defined as the proportion of women who want to stop or delay childbearing but are not using any method of contraception. It is reported as a percentage of the women of the respective marital status and age group. The standard definition of unmet need for family planning includes in the numerator women who are fecund and sexually active, and who report not wanting any (more) children, or who report wanting to delay the birth of their next child for at least two years or are undecided about the timing of the next birth, but who are not using any method of contraception. The numerator also includes pregnant women whose pregnancies were unwanted or mistimed at the time of conception; and postpartum amenorrheic women who are not using family planning and whose last birth was unwanted or mistimed. Infecund women are excluded from the numerator. \nA Bayesian hierarchical model was used to estimate and project contraceptive prevalence and the unmet need for family planning among women aged 15 to 49 years years. The model allows an assessment of uncertainty in the estimates based on the availability and quality of input data: they allow for greater precision in cases where more and better data is available and indicate the degree of uncertainty in situations where which the data are insufficient or are from sources more susceptible to systematic differences as captured by the biases assigned to each survey-based data point. \nEstimates are based on all unmarried or not in union women aged 15 to 49 years. \n
DHS:<\/strong>
Numerator:<\/em>
Number of sexually active unmarried women aged 15 to 49 years who have a need for family planning, but are not using any form of contraception.\n
Denominator:<\/em>
Number of sexually active unmarried women aged 15 to 49 years, including women who are not currently married or in a consensual union (single, divorced, widowed, and separated) and who had sexual intercourse within the last 30 days.\n
Calculation:<\/em>
Numerator divided by the denominator, multiplied by 100.
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\nAnnual
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\nCountry (geolev0), Landlocked developing countries (LLDCs), Least Developed Countries (LDCs), SDG Regions, SDG Sub-Regions, Small island developing States (SIDS), Sub-national level 1 (geolev1), UNFPA Regions, World
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\n1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030
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