{ "culture": "en-US", "name": "hv_i26_gl5", "guid": "4739B87F-8B6E-4B84-A28F-429071DE8CBE", "catalogPath": "", "snippet": "Adolescent birth rate (per 1,000 women aged 15-19 and 10-14 years), Least Developed Countries (LDCs), Trend Data", "description": "
Short Name<\/strong><\/u> Full Name<\/strong><\/u> Domain<\/strong><\/u> Sub-domain<\/strong><\/u> Tags<\/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> Disaggregation Dimension Availability<\/strong><\/u>
\nAdolescent birth rate
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\nAdolescent birth rate (per 1,000 women aged 15-19 and 10-14 years)
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\nSexual and reproductive health
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\nMaternal and newborn health
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\nEnd preventable maternal deaths, Latin America and the Caribbean Key Indicators, Montevideo Consensus, SDG Target 3.7
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\nAnnual number of births to females aged 10-14 or 15-19 years per 1,000 females in the respective age group.
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\nThe adolescent birth rate is computed as a ratio. The numerator is the number of live births to women aged 15 to 19 years, and the denominator an estimate of exposure to childbearing by women aged 15 to 19 years. The computation is the same for the age group 10-14 years. The numerator and the denominator are calculated differently for civil registration, survey and census data.\nComputation formula:\nAdolescent Birth Rate (15-19) = (number of births to women ages 15-19/mid-year population of women ages 15-19) * 1,000\nIn the case of civil registration data, the numerator is the registered number of live births born to women aged 15 to 19 years during a given year, and the denominator is the estimated or enumerated population of women aged 15 to 19 years.\n
Data source specific method of calculation:<\/em>
\n
DHS:<\/strong>
The age-specific fertility rate is calculated as the quotient of the numerator divided by the denominator for each age group, multiplied by 1000. The result is an average rate over the 36-month period, expressed as an annual rate per 1000 women.\n
IPUMS:<\/strong>
The number of births occuring during 12 months preceding the census per 1,000 women aged 15 to 19 years classified in five-year age groups. Where available, births during the 12 months preceding the census are identified using the IPUMS BIRTHSLYR variable which corresponds to the census question asking women the number of live births during the last year: Link<\/a>. For censuses that do not include BIRTHSLYR but do include variables indicating month of last birth (LASTBMO: Link<\/a> and year of last birth (LASTBYR: Link<\/a>) births during the 12 months preceding the census are identified by summing births occuring in the twelve months preceding the month of enumeration. A census month variable (CENSUSMO) is constructed for the purposes of this indicator and will soon be available from IPUMS.
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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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\n1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 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, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100
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\nAge group: 10 to 14 years old, 15 to 19 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>
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