{ "culture": "en-US", "name": "hv_i37d1_gl2", "guid": "DB1F3F10-EFBB-4E2C-89D2-E275F8FD1D53", "catalogPath": "", "snippet": "Percentage of all women aged 15 to 49 who want to stop or delay childbearing but are not using any method of contraception, Country (geolev0), Trend Data", "description": "

Short Name<\/strong><\/u>
\nUnmet need for family planning, all women
<\/p>\n

Full Name<\/strong><\/u>
\nPercentage of all women aged 15 to 49 who want to stop or delay childbearing but are not using any method of contraception
<\/p>\n

Domain<\/strong><\/u>
\nFamily planning
<\/p>\n

Sub-domain<\/strong><\/u>
\nUnmet need
<\/p>\n

Tags<\/strong><\/u>
\nEnd unmet need for family planning, Latin America and the Caribbean Key Indicators, Strategic Plan
<\/p>\n

Definition<\/strong><\/u>
\nProportion of women aged 15-49 who want to stop or delay childbearing but are not using any method of contraception.
<\/p>\n

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

Numerator:<\/em>
Number of 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 all women aged 15 to 49 years.\n
Calculation:<\/em>
Numerator divided by the denominator, multiplied by 100.
<\/p>\n

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

Geospatial Dimension Availability<\/strong><\/u>
\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
<\/p>\n

Time Dimension Availability<\/strong><\/u>
\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
<\/p>\n

Disaggregation Dimension Availability<\/strong><\/u>
\nAge group: 15 to 19 years old, 15 to 24 years old, 15 to 49 years old, 20 to 24 years old, 20 to 29 years old, 25 to 29 years old, 25 to 34 years old, 30 to 34 years old, 30 to 39 years old, 35 to 39 years old, 35 to 49 years old, 40 to 44 years old, 40 to 49 years old, 45 to 49 years old<\/em>
Education level: Higher, No education, No education or primary education, Primary education, Secondary education, Secondary education or higher<\/em>
Place of residence: Rural, Urban<\/em>
Sex: Female<\/em>
Wealth index: Middle, Poorer, Poorest, Richer, Richest<\/em>
<\/p>\n

References<\/strong><\/u>
\nWorld Contraceptive Use 2022 and Estimates and Projections of Family Planning Indicators 2022 Methodology Report: Link<\/a>
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