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ATR18-en-1 | ATR18-en-1 | Access to an Improved Water Source | Percent of households with access to an improved source of drinking water | Map Chart | False | [["Dushanbe", 0.99], ["Khatlon", 0.67], ["DRS", 0.89], ["Sughd", 0.8], ["GBAO", 0.74]] | Access to an Improved Water Source | Percent of households with access to an improved source of drinking water | (Dushanbe, 0.99) (Khatlon, 0.67) (DRS, 0.89) (Sughd, 0.8) (GBAO, 0.74) | [
"Access to improved water varies by region, from 67% Khatlon to 99% in Dushanbe."
] | Access to improved water varies by region, from 67% Khatlon to 99% in Dushanbe. |
ATR18-en-2 | ATR18-en-2 | Access to an Improved Toilet Facility | Percent of households with access to an improve, not shared, toilet facility | Map Chart | False | [["Dushanbe", 0.96], ["Khatlon", 0.97], ["DRS", 0.97], ["Sughd", 0.96], ["GBAO", 0.92]] | Access to an Improved Toilet Facility | Percent of households with access to an improve, not shared, toilet facility | (Dushanbe, 0.96) (Khatlon, 0.97) (DRS, 0.97) (Sughd, 0.96) (GBAO, 0.92) | [
"Overall, 97% of households in Tajikistan have access to an improved and not shared toilet facility.",
"Access to improved toilet facilities is lowest in GBAO (92%) and 96% or above in all other regions."
] | Overall, 97% of households in Tajikistan have access to an improved and not shared toilet facility. |
ATR18-en-3 | ATR18-en-3 | Wealthiest Households | Percent of households in the highest wealth quintile | Map Chart | False | [["Dushanbe", 0.95], ["Khatlon", 0.1], ["DRS", 0.1], ["Sughd", 0.19], ["GBAO", 0.12]] | Wealthiest Households | Percent of households in the highest wealth quintile | (Dushanbe, 0.95) (Khatlon, 0.1) (DRS, 0.1) (Sughd, 0.19) (GBAO, 0.12) | [
"Almost all (95%) of Dushanbe’s households are in the highest wealth quintile",
"DRS and Khatlon are the poorest regions, each with 10% of their populations in the highest wealth quintile."
] | Almost all (95%) of Dushanbe’s households are in the highest wealth quintile |
ATR18-en-4 | ATR18-en-4 | Women’s Education | Percent of women age 15-49 with higher education | Map Chart | False | [["Dushanbe", 0.27], ["Khatlon", 0.05], ["DRS", 0.04], ["Sughd", 0.12], ["GBAO", 0.28]] | Women’s Education | Percent of women age 15-49 with higher education | (Dushanbe, 0.27) (Khatlon, 0.05) (DRS, 0.04) (Sughd, 0.12) (GBAO, 0.28) | [
"Women in GBAO and Dushanbe are most likely to have gone to higher education (28% and 27%, respectively) while only 4% of women in DRS and 5% of women in Khatlon have attended higher education."
] | Women in GBAO and Dushanbe are most likely to have gone to higher education (28% and 27%, respectively) while only 4% of women in DRS and 5% of women in Khatlon have attended higher education. |
ATR18-en-5 | ATR18-en-5 | Women’s Employment | Percent of women age 15-49 currently employed | Map chart | False | [["Dushanbe", 0.24], ["Khatlon", 0.25], ["DRS", 0.14], ["Sughd", 0.31], ["GBAO", 0.3]] | Women’s Employment | Percent of women age 15-49 currently employed | (Dushanbe, 0.24) (Khatlon, 0.25) (DRS, 0.14) (Sughd, 0.31) (GBAO, 0.3) | [
"Women’s employment is highest in Sughd (31%) and lowest in DRS (14%)."
] | Women’s employment is highest in Sughd (31%) and lowest in DRS (14%). |
ATR18-en-6 | ATR18-en-6 | Total Fertility Rate | Number of births per woman for the 3 year period before the survey | Map chart | False | [["Dushanbe", 2.7], ["Khatlon", 4.1], ["DRS", 4], ["Sughd", 3.5], ["GBAO", 3.5]] | Total Fertility Rate | Number of births per woman for the 3 year period before the survey | (Dushanbe, 2.7) (Khatlon, 4.1) (DRS, 4) (Sughd, 3.5) (GBAO, 3.5) | [
"Fertility ranges from a low of 2.7 children per woman in Dushanbe to a high of 4.1 in Khatlon."
] | Fertility ranges from a low of 2.7 children per woman in Dushanbe to a high of 4.1 in Khatlon. |
ATR18-en-7 | ATR18-en-7 | Teenage Childbearing | Percent of women age 15-19 who have begun childbearing | Map chart | False | [["Dushanbe", 0.03], ["Khatlon", 0.07], ["DRS", 0.09], ["Sughd", 0.07], ["GBAO", 0.02]] | Teenage Childbearing | Percent of women age 15-19 who have begun childbearing | (Dushanbe, 0.03) (Khatlon, 0.07) (DRS, 0.09) (Sughd, 0.07) (GBAO, 0.02) | [
"Teenage childbearing is most common in DRS (9%) and least common in GBAO (2%)."
] | Teenage childbearing is most common in DRS (9%) and least common in GBAO (2%). |
ATR18-en-8 | ATR18-en-8 | Current Use of Modern Methods | Percent of married women age 15-49 currently using a modern method of family planning | Map chart | False | [["Dushanbe", 0.3], ["Khatlon", 0.21], ["DRS", 0.25], ["Sughd", 0.34], ["GBAO", 0.36]] | Current Use of Modern Methods | Percent of married women age 15-49 currently using a modern method of family planning | (Dushanbe, 0.3) (Khatlon, 0.21) (DRS, 0.25) (Sughd, 0.34) (GBAO, 0.36) | [
"Use of modern methods is highest in GBAO (36%) and lowest in Khatlon (21%)."
] | Use of modern methods is highest in GBAO (36%) and lowest in Khatlon (21%). |
ATR18-en-9 | ATR18-en-9 | Unmet Need for Family Planning | Percent of married women age 15-49 with an unmet need for family planning | Map chart | False | [["Dushanbe", 0.22], ["Khatlon", 0.23], ["DRS", 0.29], ["Sughd", 0.19], ["GBAO", 0.16]] | Unmet Need for Family Planning | Percent of married women age 15-49 with an unmet need for family planning | (Dushanbe, 0.22) (Khatlon, 0.23) (DRS, 0.29) (Sughd, 0.19) (GBAO, 0.16) | [
"Unmet need is highest in DRS (29%) and lowest in GBAO (16%)."
] | Unmet need is highest in DRS (29%) and lowest in GBAO (16%). |
ATR18-en-10 | ATR18-en-10 | Demand Satisfied for Family Planning | Percent of married women age 15-49 whose demand for family planning is satisfied | Map chart | False | [["Dushanbe", 0.58], ["Khatlon", 0.48], ["DRS", 0.47], ["Sughd", 0.68], ["GBAO", 0.69]] | Demand Satisfied for Family Planning | Percent of married women age 15-49 whose demand for family planning is satisfied | (Dushanbe, 0.58) (Khatlon, 0.48) (DRS, 0.47) (Sughd, 0.68) (GBAO, 0.69) | [
"Demand satisfied is lowest in DRS (47%) and Khatlon (48%) and highest in GBAO (69%)."
] | Demand satisfied is lowest in DRS (47%) and Khatlon (48%) and highest in GBAO (69%). |
ATR18-en-11 | ATR18-en-11 | Abortion | Percent of women age 15-49 who have ever had an induced abortion | Map chart | False | [["Dushanbe", 0.1], ["Khatlon", 0.12], ["DRS", 0.1], ["Sughd", 0.13], ["GBAO", 0.07]] | Abortion | Percent of women age 15-49 who have ever had an induced abortion | (Dushanbe, 0.1) (Khatlon, 0.12) (DRS, 0.1) (Sughd, 0.13) (GBAO, 0.07) | [
"This varies slightly by region, from 7% of women in GBAO to 13% of women in Sughd."
] | This varies slightly by region, from 7% of women in GBAO to 13% of women in Sughd. |
ATR18-en-12 | ATR18-en-12 | Infant Mortality | Infant deaths per 1,000 live births for the 10 year period before the survey | Map chart | False | [["Dushanbe", 9], ["Khatlon", 33], ["DRS", 25], ["Sughd", 26], ["GBAO", 26]] | Infant Mortality | Infant deaths per 1,000 live births for the 10 year period before the survey | (Dushanbe, 9) (Khatlon, 33) (DRS, 25) (Sughd, 26) (GBAO, 26) | [
"Infant mortality is lowest in Dushanbe where there are 9 deaths per 1,000 live births; it is highest in Khatlon where there are 33 deaths per 1,000 live births."
] | Infant mortality is lowest in Dushanbe where there are 9 deaths per 1,000 live births; it is highest in Khatlon where there are 33 deaths per 1,000 live births. |
ATR18-en-13 | ATR18-en-13 | Under-5 Mortality | Under-5 deaths per 1,000 live births for the 10 year period before the survey | Map chart | False | [["Dushanbe", 11], ["Khatlon", 40], ["DRS", 30], ["Sughd", 33], ["GBAO", 30]] | Under-5 Mortality | Under-5 deaths per 1,000 live births for the 10 year period before the survey | (Dushanbe, 11) (Khatlon, 40) (DRS, 30) (Sughd, 33) (GBAO, 30) | [
"It is lowest in Dushanbe, at 11 deaths per 1,000 live births, and highest in Khatlon, at 40 deaths per 1,000 live births."
] | It is lowest in Dushanbe, at 11 deaths per 1,000 live births, and highest in Khatlon, at 40 deaths per 1,000 live births. |
ATR18-en-14 | ATR18-en-14 | Basic Vaccination Coverage | Percent of children age 24-35 months with all basic vaccines | Map chart | False | [["Dushanbe", 0.71], ["Khatlon", 0.86], ["DRS", 0.69], ["Sughd", 0.92], ["GBAO", 0.7]] | Basic Vaccination Coverage | Percent of children age 24-35 months with all basic vaccines | (Dushanbe, 0.71) (Khatlon, 0.86) (DRS, 0.69) (Sughd, 0.92) (GBAO, 0.7) | [
"Basic vaccination coverage is over 90% in Sughd, and under 75% in GBAO, Dushanbe, and DRS."
] | Basic vaccination coverage is over 90% in Sughd, and under 75% in GBAO, Dushanbe, and DRS. |
ATR18-en-15 | ATR18-en-15 | Child Discipline | Percent of children age 1-14 who experienced any type of violent discipline in the month before the survey | Map chart | False | [["Dushanbe", 0.7], ["Khatlon", 0.73], ["DRS", 0.72], ["Sughd", 0.6], ["GBAO", 0.81]] | Child Discipline | Percent of children age 1-14 who experienced any type of violent discipline in the month before the survey | (Dushanbe, 0.7) (Khatlon, 0.73) (DRS, 0.72) (Sughd, 0.6) (GBAO, 0.81) | [
"Children in Sughd were least likely to experience violent forms of discipline (60%), while children in GBAO were most likely to experience violent discipline in the month before the survey (81%)."
] | Children in Sughd were least likely to experience violent forms of discipline (60%), while children in GBAO were most likely to experience violent discipline in the month before the survey (81%). |
ATR18-en-16 | ATR18-en-16 | Antenatal Care: 4+ visits | Percent of women age 15-49 with a live birth in the 5 years before the survey | Map chart | False | [["Dushanbe", 0.87], ["Khatlon", 0.4], ["DRS", 0.61], ["Sughd", 0.92], ["GBAO", 0.72]] | Antenatal Care: 4+ visits | Percent of women age 15-49 with a live birth in the 5 years before the survey | (Dushanbe, 0.87) (Khatlon, 0.4) (DRS, 0.61) (Sughd, 0.92) (GBAO, 0.72) | [
"Women in Khatlon are least likely to receive 4 or more visits (40%) compared to more than 9 out of 10 women in Sughd (92%)."
] | Women in Khatlon are least likely to receive 4 or more visits (40%) compared to more than 9 out of 10 women in Sughd (92%). |
ATR18-en-17 | ATR18-en-17 | Health Facility Delivery | Percent of live births delivered in a health facility in the 5 years before the survey | Map chart | False | [["Dushanbe", 0.97], ["Khatlon", 0.85], ["DRS", 0.79], ["Sughd", 0.99], ["GBAO", 0.76]] | Health Facility Delivery | Percent of live births delivered in a health facility in the 5 years before the survey | (Dushanbe, 0.97) (Khatlon, 0.85) (DRS, 0.79) (Sughd, 0.99) (GBAO, 0.76) | [
"Facility-based births are most common in Sughd (99%) and Dushanbe (97%) and are least common in GBAO (76%)."
] | Facility-based births are most common in Sughd (99%) and Dushanbe (97%) and are least common in GBAO (76%). |
ATR18-en-18 | ATR18-en-18 | Assistance at Delivery | Percent of live births delivered by a skilled provider in the 5 years before the survey | Map chart | False | [["Dushanbe", 0.98], ["Khatlon", 0.92], ["DRS", 0.93], ["Sughd", ">99%"], ["GBAO", 0.98]] | Assistance at Delivery | Percent of live births delivered by a skilled provider in the 5 years before the survey | (Dushanbe, 0.98) (Khatlon, 0.92) (DRS, 0.93) (Sughd, >99%) (GBAO, 0.98) | [
"Assistance at delivery is above 90% in all regions, ranging from 92% in Khatlon to almost 100% in Sughd."
] | Assistance at delivery is above 90% in all regions, ranging from 92% in Khatlon to almost 100% in Sughd. |
ATR18-en-19 | ATR18-en-19 | Stunting | Percent of children under age 5 who are stunted | Map chart | False | [["Dushanbe", 0.18], ["Khatlon", 0.19], ["DRS", 0.15], ["Sughd", 0.16], ["GBAO", 0.32]] | Stunting | Percent of children under age 5 who are stunted | (Dushanbe, 0.18) (Khatlon, 0.19) (DRS, 0.15) (Sughd, 0.16) (GBAO, 0.32) | [
"Stunting is particularly high in GBAO (32%)."
] | Stunting is particularly high in GBAO (32%). |
ATR18-en-21 | ATR18-en-21 | Overweight and Obesity | Percent of women age 15-49 who are overweight or obese | Map chart | False | [["Dushanbe", 0.39], ["Khatlon", 0.33], ["DRS", 0.38], ["Sughd", 0.41], ["GBAO", 0.25]] | Overweight and Obesity | Percent of women age 15-49 who are overweight or obese | (Dushanbe, 0.39) (Khatlon, 0.33) (DRS, 0.38) (Sughd, 0.41) (GBAO, 0.25) | [
"Overweight/obesity is common throughout Tajikistan, ranging from 25% in GBAO to 41% in Sughd."
] | Overweight/obesity is common throughout Tajikistan, ranging from 25% in GBAO to 41% in Sughd. |
ATR18-en-22 | ATR18-en-22 | Women’s Dietary Diversity | Percent of women age 15-49 eating foods from 5+ food groups | Map chart | False | [["Dushanbe", 0.87], ["Khatlon", 0.75], ["DRS", 0.71], ["Sughd", 0.92], ["GBAO", 0.79]] | Women’s Dietary Diversity | Percent of women age 15-49 eating foods from 5+ food groups | (Dushanbe, 0.87) (Khatlon, 0.75) (DRS, 0.71) (Sughd, 0.92) (GBAO, 0.79) | [
"Minimum dietary diversity requirements are met for 92% of women in Sughd but only 71% of women in DRS."
] | Minimum dietary diversity requirements are met for 92% of women in Sughd but only 71% of women in DRS. |
ATR18-en-23 | ATR18-en-23 | Anemia in Children | Percent of children age 6-59 months with anemia | Map chart | False | [["Dushanbe", 0.24], ["Khatlon", 0.46], ["DRS", 0.36], ["Sughd", 0.42], ["GBAO", 0.62]] | Anemia in Children | Percent of children age 6-59 months with anemia | (Dushanbe, 0.24) (Khatlon, 0.46) (DRS, 0.36) (Sughd, 0.42) (GBAO, 0.62) | [
"Anemia prevalence in children varies by region, from 24% in Dushanbe to 62% in GBAO."
] | Anemia prevalence in children varies by region, from 24% in Dushanbe to 62% in GBAO. |
ATR18-en-24 | ATR18-en-24 | Anemia in Women | Percent of women age 15-49 with anemia | Map chart | False | [["Dushanbe", 0.36], ["Khatlon", 0.47], ["DRS", 0.33], ["Sughd", 0.4], ["GBAO", 0.55]] | Anemia in Women | Percent of women age 15-49 with anemia | (Dushanbe, 0.36) (Khatlon, 0.47) (DRS, 0.33) (Sughd, 0.4) (GBAO, 0.55) | [
"Anemia prevalence in women ranges from 33% in DRS to 55% in GBAO."
] | Anemia prevalence in women ranges from 33% in DRS to 55% in GBAO. |
ATR18-en-25 | ATR18-en-25 | Hypertension in Women | Percent of women age 15-49 with high blood pressure or taking antihypertensive medication to control high blood pressure | Map chart | False | [["Dushanbe", 0.07], ["Khatlon", 0.1], ["DRS", 0.12], ["Sughd", 0.1], ["GBAO", 0.11]] | Hypertension in Women | Percent of women age 15-49 with high blood pressure or taking antihypertensive medication to control high blood pressure | (Dushanbe, 0.07) (Khatlon, 0.1) (DRS, 0.12) (Sughd, 0.1) (GBAO, 0.11) | [
"Hypertension ranges from 7% of women in Dushanbe to 12% of women in DRS."
] | Hypertension ranges from 7% of women in Dushanbe to 12% of women in DRS. |
ATR18-en-26 | ATR18-en-26 | Women’s Decisionmaking | Percent of married women age 15-49 who participate in 3 decisions | Map chart | False | [["Dushanbe", 0.4], ["Khatlon", 0.27], ["DRS", 0.27], ["Sughd", 0.41], ["GBAO", 0.62]] | Women’s Decisionmaking | Percent of married women age 15-49 who participate in 3 decisions | (Dushanbe, 0.4) (Khatlon, 0.27) (DRS, 0.27) (Sughd, 0.41) (GBAO, 0.62) | [
"Only 27% of married women in DRS and Khatlon participate in all 3 of these decisions, compared with 62% of women in GBAO."
] | Only 27% of married women in DRS and Khatlon participate in all 3 of these decisions, compared with 62% of women in GBAO. |
ATR18-en-27 | ATR18-en-27 | Experience of Physical Violence since Age 15 | Percent of women age 15-49 who have ever experienced physical violence since age 15 | Map chart | False | [["Dushanbe", 0.09], ["Khatlon", 0.36], ["DRS", 0.2], ["Sughd", 0.17], ["GBAO", 0.18]] | Experience of Physical Violence since Age 15 | Percent of women age 15-49 who have ever experienced physical violence since age 15 | (Dushanbe, 0.09) (Khatlon, 0.36) (DRS, 0.2) (Sughd, 0.17) (GBAO, 0.18) | [
"Women’s experience of physical violence is most common in Khatlon (36%) and least common in Dushanbe (9%)."
] | Women’s experience of physical violence is most common in Khatlon (36%) and least common in Dushanbe (9%). |
ATR18-en-28 | ATR18-en-28 | Spousal Violence | Percent of ever-married women age 15-49 who have experienced violence committed by their husband or partner | Map chart | False | [["Dushanbe", 0.16], ["Khatlon", 0.43], ["DRS", 0.26], ["Sughd", 0.25], ["GBAO", 0.28]] | Spousal Violence | Percent of ever-married women age 15-49 who have experienced violence committed by their husband or partner | (Dushanbe, 0.16) (Khatlon, 0.43) (DRS, 0.26) (Sughd, 0.25) (GBAO, 0.28) | [
"Spousal violence is most commonly reported in Khatlon (43%) and least commonly reported in Dushanbe (16%)."
] | Spousal violence is most commonly reported in Khatlon (43%) and least commonly reported in Dushanbe (16%). |
ATR18-ru-1 | ATR18-ru-1 | Доступ к Улучшенному Источнику Воды | Процент домохозяйств, имеющих доступ к улучшенному источнику питьевой воды | Map Chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.99], ["\u0440\u0440\u043f ", 0.89], ["\u0413\u0411\u0410\u041e ", 0.74], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.67], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.8]] | Доступ к Улучшенному Источнику Воды | Процент домохозяйств, имеющих доступ к улучшенному источнику питьевой воды | (душанбе , 0.99) (ррп , 0.89) (ГБАО , 0.74) (хатлонская область , 0.67) (согдийская область, 0.8) | [
"Доступ к улучшенному источнику воды варьирует по регионам, от 67% в Хатлонской области до 99% в Душанбе."
] | Доступ к улучшенному источнику воды варьирует по регионам, от 67% в Хатлонской области до 99% в Душанбе. |
ATR18-ru-2 | ATR18-ru-2 | Доступ к Улучшенному Туалетному Сооружению | Процент домохозяйств с доступом к улучшенному туалетному сооружению не совместного пользования | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.96], ["\u0440\u0440\u043f ", 0.97], ["\u0413\u0411\u0410\u041e ", 0.92], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.97], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.96]] | Доступ к Улучшенному Туалетному Сооружению | Процент домохозяйств с доступом к улучшенному туалетному сооружению не совместного пользования | (душанбе , 0.96) (ррп , 0.97) (ГБАО , 0.92) (хатлонская область , 0.97) (согдийская область, 0.96) | [
"В целом, 9% домохозяйств имеют доступ к улучшенному туалетному сооружению, которое не используется совместно с другими домохозяйствами.",
"Доступ к улучшенному туалетному сооружению является самым низким в ГБАО (92%) и достигает 96% или выше во всех остальных регионах."
] | В целом, 9% домохозяйств имеют доступ к улучшенному туалетному сооружению, которое не используется совместно с другими домохозяйствами. |
ATR18-ru-3 | ATR18-ru-3 | Наиболее Богатые Домохозяйства | Процент домохозяйств, принадлежащих к наивысшему квинтилю благосостояния | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.95], ["\u0440\u0440\u043f ", 0.1], ["\u0413\u0411\u0410\u041e ", 0.12], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.1], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.19]] | Наиболее Богатые Домохозяйства | Процент домохозяйств, принадлежащих к наивысшему квинтилю благосостояния | (душанбе , 0.95) (ррп , 0.1) (ГБАО , 0.12) (хатлонская область , 0.1) (согдийская область, 0.19) | [
"Почти все (95%) домохозяйства Душанбе находятся в наивысшем квинтиле благосостояния*.",
"Самыми бедными регионами являются РРП и Хатлонская область: в каждом из них к наивысшему квинтилю благосостояния относятся лишь 10% их населения."
] | Почти все (95%) домохозяйства Душанбе находятся в наивысшем квинтиле благосостояния*. |
ATR18-ru-4 | ATR18-ru-4 | Образование Женщин | Процент женщин в возрасте от 15 до 49 лет с высшим образованием | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.97], ["\u0440\u0440\u043f ", 0.04], ["\u0413\u0411\u0410\u041e ", 0.28], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.05], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.12]] | Образование Женщин | Процент женщин в возрасте от 15 до 49 лет с высшим образованием | (душанбе , 0.97) (ррп , 0.04) (ГБАО , 0.28) (хатлонская область , 0.05) (согдийская область, 0.12) | [
"Наибольший процент женщин, учившихся в высших учебных заведениях приходится на ГБАО и Душанбе (28% и 27%, соответственно).",
"В то же время, в РРП и в Хатлонской области этот показатель составляет всего лишь 4% и 5%, соответственно."
] | Наибольший процент женщин, учившихся в высших учебных заведениях приходится на ГБАО и Душанбе (28% и 27%, соответственно). |
ATR18-ru-5 | ATR18-ru-5 | Занятость Женщин | Процент женщин в возрасте от 15 до 49 лет, трудоустроенных в настоящее время | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.24], ["\u0440\u0440\u043f ", 0.04], ["\u0413\u0411\u0410\u041e ", 0.3], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.25], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.31]] | Занятость Женщин | Процент женщин в возрасте от 15 до 49 лет, трудоустроенных в настоящее время | (душанбе , 0.24) (ррп , 0.04) (ГБАО , 0.3) (хатлонская область , 0.25) (согдийская область, 0.31) | [
"Максимальный уровень занятости женщин наблюдается в Согдийской области (31%), а минимальный — в РРП (14%)."
] | Максимальный уровень занятости женщин наблюдается в Согдийской области (31%), а минимальный — в РРП (14%). |
ATR18-ru-6 | ATR18-ru-6 | Суммарный Коэффициент Рождаемости | Число живорождений на женщину за 3х-летний период до исследования | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 2.7], ["\u0440\u0440\u043f ", 4], ["\u0413\u0411\u0410\u041e ", 3.5], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 4.1], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 3.5]] | Суммарный Коэффициент Рождаемости | Число живорождений на женщину за 3х-летний период до исследования | (душанбе , 2.7) (ррп , 4) (ГБАО , 3.5) (хатлонская область , 4.1) (согдийская область, 3.5) | [
"Рождаемость варьирует от 2,7 детей на женщину в Душанбе до 4,1 в Хатлонской области."
] | Рождаемость варьирует от 2,7 детей на женщину в Душанбе до 4,1 в Хатлонской области. |
ATR18-ru-7 | ATR18-ru-7 | Деторождение среди Подростков | Процент женщин в возрасте от 15 до 19 лет, начавших деторождение | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.03], ["\u0440\u0440\u043f ", 0.09], ["\u0413\u0411\u0410\u041e ", 0.02], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.07], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.07]] | Деторождение среди Подростков | Процент женщин в возрасте от 15 до 19 лет, начавших деторождение | (душанбе , 0.03) (ррп , 0.09) (ГБАО , 0.02) (хатлонская область , 0.07) (согдийская область, 0.07) | [
"Деторождение среди подростков более распространено в РРП (9%) и менее распространено в ГБАО (2%)."
] | Деторождение среди подростков более распространено в РРП (9%) и менее распространено в ГБАО (2%). |
ATR18-ru-8 | ATR18-ru-8 | Текущее Использование Современных Методов | Процент замужних женщин 15-49 лет, пользующихся современным методом планирования семьи | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.3], ["\u0440\u0440\u043f ", 0.25], ["\u0413\u0411\u0410\u041e ", 0.36], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.21], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.34]] | Текущее Использование Современных Методов | Процент замужних женщин 15-49 лет, пользующихся современным методом планирования семьи | (душанбе , 0.3) (ррп , 0.25) (ГБАО , 0.36) (хатлонская область , 0.21) (согдийская область, 0.34) | [
"Самое высокое использование наблюдается в ГБАО (36%) и самое низкое — в Хатлонской области (21%)."
] | Самое высокое использование наблюдается в ГБАО (36%) и самое низкое — в Хатлонской области (21%). |
ATR18-ru-9 | ATR18-ru-9 | Неудовлетворенная Потребность в Планировании Семьи | Процент замужних женщин 15-49 с неудовлетворенной потребностью в планировании семьи | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.22], ["\u0440\u0440\u043f ", 0.29], ["\u0413\u0411\u0410\u041e ", 0.16], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.23], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.19]] | Неудовлетворенная Потребность в Планировании Семьи | Процент замужних женщин 15-49 с неудовлетворенной потребностью в планировании семьи | (душанбе , 0.22) (ррп , 0.29) (ГБАО , 0.16) (хатлонская область , 0.23) (согдийская область, 0.19) | [
"Самая высокая неудовлетворенная потребность наблюдается в РРП (29%), а самая низкая в ГБАО (16%)."
] | Самая высокая неудовлетворенная потребность наблюдается в РРП (29%), а самая низкая в ГБАО (16%). |
ATR18-ru-10 | ATR18-ru-10 | Удовлетворенный Спрос в Планировании Семьи | Процент замужних женщин 15-49 лет с удовлетворенным спросом в планировании семьи | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.58], ["\u0440\u0440\u043f ", 0.47], ["\u0413\u0411\u0410\u041e ", 0.69], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.48], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.68]] | Удовлетворенный Спрос в Планировании Семьи | Процент замужних женщин 15-49 лет с удовлетворенным спросом в планировании семьи | (душанбе , 0.58) (ррп , 0.47) (ГБАО , 0.69) (хатлонская область , 0.48) (согдийская область, 0.68) | [
". Самый низкий удовлетворенный спрос наблюдается в РРП (47%) и Хатлонской области (48%), а самый высокий — в ГБАО (69%)."
] | . Самый низкий удовлетворенный спрос наблюдается в РРП (47%) и Хатлонской области (48%), а самый высокий — в ГБАО (69%). |
ATR18-ru-11 | ATR18-ru-11 | АБОРТы | Процент женщин 15-49 лет, которые когда-либо делали искусственный аборт | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.1], ["\u0440\u0440\u043f ", 0.1], ["\u0413\u0411\u0410\u041e ", 0.07], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.12], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.13]] | АБОРТы | Процент женщин 15-49 лет, которые когда-либо делали искусственный аборт | (душанбе , 0.1) (ррп , 0.1) (ГБАО , 0.07) (хатлонская область , 0.12) (согдийская область, 0.13) | [
"Показатель слегка варьирует по регионам: от 7% женщин в ГБАО до 13% женщин в Согдийской области."
] | Показатель слегка варьирует по регионам: от 7% женщин в ГБАО до 13% женщин в Согдийской области. |
ATR18-ru-12 | ATR18-ru-12 | Младенческая Смертность | Младенческих смертей на 1000 живорождений за 10-летний период до исследования | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 9], ["\u0440\u0440\u043f ", 25], ["\u0413\u0411\u0410\u041e ", 26], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 33], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 26]] | Младенческая Смертность | Младенческих смертей на 1000 живорождений за 10-летний период до исследования | (душанбе , 9) (ррп , 25) (ГБАО , 26) (хатлонская область , 33) (согдийская область, 26) | [
"Самая низкая младенческая смертность наблюдается в Душанбе, где было 9 смертей на 1000 живорождений, и самая высокая — в Хатлонской области, где было 33 смерти на 1000 живорождений. Это значит, что 1 из 30 детей в Хатлонской области умирает до своего первого года рождения."
] | Самая низкая младенческая смертность наблюдается в Душанбе, где было 9 смертей на 1000 живорождений, и самая высокая — в Хатлонской области, где было 33 смерти на 1000 живорождений. Это значит, что 1 из 30 детей в Хатлонской области умирает до своего первого года рождения. |
ATR18-ru-13 | ATR18-ru-13 | Смертность до 5 лет | Смертность до 5 лет на 1000 живорожденных за 10-летний период до исследования | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 11], ["\u0440\u0440\u043f ", 30], ["\u0413\u0411\u0410\u041e ", 30], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 40], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 33]] | Смертность до 5 лет | Смертность до 5 лет на 1000 живорожденных за 10-летний период до исследования | (душанбе , 11) (ррп , 30) (ГБАО , 30) (хатлонская область , 40) (согдийская область, 33) | [
"Самая низкая смертность наблюдается в Душанбе, в 11 смертей на 1000 живорождений, и самая высокая — в Хатлонской области, в 40 смертей на 1000 живорожденных. Это значит, что в Хатлонской области 1 из 25 детей умирает не дожив до пятилетнего возраста."
] | Самая низкая смертность наблюдается в Душанбе, в 11 смертей на 1000 живорождений, и самая высокая — в Хатлонской области, в 40 смертей на 1000 живорожденных. Это значит, что в Хатлонской области 1 из 25 детей умирает не дожив до пятилетнего возраста. |
ATR18-ru-14 | ATR18-ru-14 | Охват Основными Вакцинациями | Процент детей 24-35 месяцев, которые получили все основные вакцинации | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.71], ["\u0440\u0440\u043f ", 0.69], ["\u0413\u0411\u0410\u041e ", 0.7], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.86], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.92]] | Охват Основными Вакцинациями | Процент детей 24-35 месяцев, которые получили все основные вакцинации | (душанбе , 0.71) (ррп , 0.69) (ГБАО , 0.7) (хатлонская область , 0.86) (согдийская область, 0.92) | [
"Охват основными прививками составляет более 90% в Согдийской области и менее 75% в ГБАО, Душанбе и РРП."
] | Охват основными прививками составляет более 90% в Согдийской области и менее 75% в ГБАО, Душанбе и РРП. |
ATR18-ru-15 | ATR18-ru-15 | Дисциплинирование Детей | Процент детей 1-14 лет, испытавших любой вид жестокой дисциплины в течение одного месяца до исследования | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.7], ["\u0440\u0440\u043f ", 0.72], ["\u0413\u0411\u0410\u041e ", 0.81], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.73], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.6]] | Дисциплинирование Детей | Процент детей 1-14 лет, испытавших любой вид жестокой дисциплины в течение одного месяца до исследования | (душанбе , 0.7) (ррп , 0.72) (ГБАО , 0.81) (хатлонская область , 0.73) (согдийская область, 0.6) | [
"Дети в Согдийской области реже других подвергались жестокой дисциплине(60%), тогда как дети из ГБАО чаще других подвергались жестокой дисциплине в течение одного месяца до исследования (81%)."
] | Дети в Согдийской области реже других подвергались жестокой дисциплине(60%), тогда как дети из ГБАО чаще других подвергались жестокой дисциплине в течение одного месяца до исследования (81%). |
ATR18-ru-16 | ATR18-ru-16 | Антенатальная Помощь: 4+ визитов | Процент женщин 15-49 лет с живорождением за 5-летний период до исследования | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.87], ["\u0440\u0440\u043f ", 0.61], ["\u0413\u0411\u0410\u041e ", 0.72], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.4], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.92]] | Антенатальная Помощь: 4+ визитов | Процент женщин 15-49 лет с живорождением за 5-летний период до исследования | (душанбе , 0.87) (ррп , 0.61) (ГБАО , 0.72) (хатлонская область , 0.4) (согдийская область, 0.92) | [
"Женщины в Хатлонской области (40%) реже других делали 4 или более АНП посещений, тогда как в Согдийской области, 9 из 10 женщин (92%) были на приеме 4 раза или чаще."
] | Женщины в Хатлонской области (40%) реже других делали 4 или более АНП посещений, тогда как в Согдийской области, 9 из 10 женщин (92%) были на приеме 4 раза или чаще. |
ATR18-ru-17 | ATR18-ru-17 | Рождение в Медицинском Учреждении | Процент живорожденных, родившихся в медицинском учреждении за период в 5 лет до исследования | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.97], ["\u0440\u0440\u043f ", 0.79], ["\u0413\u0411\u0410\u041e ", 0.76], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.85], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.99]] | Рождение в Медицинском Учреждении | Процент живорожденных, родившихся в медицинском учреждении за период в 5 лет до исследования | (душанбе , 0.97) (ррп , 0.79) (ГБАО , 0.76) (хатлонская область , 0.85) (согдийская область, 0.99) | [
"Рождения в медучреждениях более часто встречаются в Согдийской области (99%) и Душанбе (97%) и менее часто в ГБАО (76%)."
] | Рождения в медучреждениях более часто встречаются в Согдийской области (99%) и Душанбе (97%) и менее часто в ГБАО (76%). |
ATR18-ru-18 | ATR18-ru-18 | Помощь в Родах | Процент живорождений, принятых квалифицированным медработником за период в 5 лет до исследования | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.98], ["\u0440\u0440\u043f ", 0.93], ["\u0413\u0411\u0410\u041e ", 0.98], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.92], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", ">99%"]] | Помощь в Родах | Процент живорождений, принятых квалифицированным медработником за период в 5 лет до исследования | (душанбе , 0.98) (ррп , 0.93) (ГБАО , 0.98) (хатлонская область , 0.92) (согдийская область, >99%) | [
"Квалифицированная помощь в родах превышает 90% во всех регионах и варьирует от 92% в Хатлонской области до практически 100% в Согдийской области."
] | Квалифицированная помощь в родах превышает 90% во всех регионах и варьирует от 92% в Хатлонской области до практически 100% в Согдийской области. |
ATR18-ru-19 | ATR18-ru-19 | Задержка Роста | Процент детей до 5 лет с низкорослостью | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.18], ["\u0440\u0440\u043f ", 0.15], ["\u0413\u0411\u0410\u041e ", 0.32], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.19], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.16]] | Задержка Роста | Процент детей до 5 лет с низкорослостью | (душанбе , 0.18) (ррп , 0.15) (ГБАО , 0.32) (хатлонская область , 0.19) (согдийская область, 0.16) | [
"Задержка роста особенно часто встречается в ГБАО (32%)"
] | Задержка роста особенно часто встречается в ГБАО (32%) |
ATR18-ru-21 | ATR18-ru-21 | Избыточный Вес и Ожирение | Процент женщин в возрасте 15-49 лет с избыточным весом или ожирением | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.39], ["\u0440\u0440\u043f ", 0.38], ["\u0413\u0411\u0410\u041e ", 0.25], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.33], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 415]] | Избыточный Вес и Ожирение | Процент женщин в возрасте 15-49 лет с избыточным весом или ожирением | (душанбе , 0.39) (ррп , 0.38) (ГБАО , 0.25) (хатлонская область , 0.33) (согдийская область, 415) | [
"Избыточный вес/ожирение распространены в Таджикистане в пределах от 25% в ГБАО до 41% в Согдийской области."
] | Избыточный вес/ожирение распространены в Таджикистане в пределах от 25% в ГБАО до 41% в Согдийской области. |
ATR18-ru-22 | ATR18-ru-22 | Разнообразие Рациона Женщин | Процент женщин 15- 49 лет, употребляющих продукты из 5+ пищевых групп | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.87], ["\u0440\u0440\u043f ", 0.71], ["\u0413\u0411\u0410\u041e ", 0.79], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.75], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.92]] | Разнообразие Рациона Женщин | Процент женщин 15- 49 лет, употребляющих продукты из 5+ пищевых групп | (душанбе , 0.87) (ррп , 0.71) (ГБАО , 0.79) (хатлонская область , 0.75) (согдийская область, 0.92) | [
"Минимум требований диетического разнообразия соблюдены для 92% женщин в Согдийской области и лишь для 71% женщин в РРП."
] | Минимум требований диетического разнообразия соблюдены для 92% женщин в Согдийской области и лишь для 71% женщин в РРП. |
ATR18-ru-23 | ATR18-ru-23 | Анемия у Детей | Процент детей в возрасте от 6 до 59 месяцев с анемией | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.24], ["\u0440\u0440\u043f ", 0.36], ["\u0413\u0411\u0410\u041e ", 0.62], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.46], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.42]] | Анемия у Детей | Процент детей в возрасте от 6 до 59 месяцев с анемией | (душанбе , 0.24) (ррп , 0.36) (ГБАО , 0.62) (хатлонская область , 0.46) (согдийская область, 0.42) | [
"Распространенность анемии варьирует по регионам, от 24% в Душанбе до 62% в ГБАО."
] | Распространенность анемии варьирует по регионам, от 24% в Душанбе до 62% в ГБАО. |
ATR18-ru-24 | ATR18-ru-24 | Анемия у Женщин | Процент женщин в возрасте от 15 до 49 лет с анемией | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.36], ["\u0440\u0440\u043f ", 0.33], ["\u0413\u0411\u0410\u041e ", 0.55], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.47], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.4]] | Анемия у Женщин | Процент женщин в возрасте от 15 до 49 лет с анемией | (душанбе , 0.36) (ррп , 0.33) (ГБАО , 0.55) (хатлонская область , 0.47) (согдийская область, 0.4) | [
"В Таджикистане, 41% женщин страдают от анемии. Распространенность анемии варьирует в пределах от 33% в РРП до 55% в ГБАО."
] | В Таджикистане, 41% женщин страдают от анемии. Распространенность анемии варьирует в пределах от 33% в РРП до 55% в ГБАО. |
ATR18-ru-25 | ATR18-ru-25 | Гипертония у Женщин | Процент женщин в возрасте от 15 до 49 лет с гипертонией или принимающих антигипертензивное лекарство для контроля кровяного давления* | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.07], ["\u0440\u0440\u043f ", 0.12], ["\u0413\u0411\u0410\u041e ", 0.11], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.1], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.1]] | Гипертония у Женщин | Процент женщин в возрасте от 15 до 49 лет с гипертонией или принимающих антигипертензивное лекарство для контроля кровяного давления* | (душанбе , 0.07) (ррп , 0.12) (ГБАО , 0.11) (хатлонская область , 0.1) (согдийская область, 0.1) | [
"Гипертония изменяется в пределах от 7% в Душанбе, до 12% в РРП."
] | Гипертония изменяется в пределах от 7% в Душанбе, до 12% в РРП. |
ATR18-ru-26 | ATR18-ru-26 | Принятие Решений Женщинами | Процент замужних женщин в возрасте 15-49 лет, кто участвует в 3-х решениях | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.4], ["\u0440\u0440\u043f ", 0.27], ["\u0413\u0411\u0410\u041e ", 0.62], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.27], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.41]] | Принятие Решений Женщинами | Процент замужних женщин в возрасте 15-49 лет, кто участвует в 3-х решениях | (душанбе , 0.4) (ррп , 0.27) (ГБАО , 0.62) (хатлонская область , 0.27) (согдийская область, 0.41) | [
"Только 27% замужних женщин в РРП и Хатлонской области участвуют в принятии всех 3-х этих решений, по сравнению с 62% женщин в ГБАО."
] | Только 27% замужних женщин в РРП и Хатлонской области участвуют в принятии всех 3-х этих решений, по сравнению с 62% женщин в ГБАО. |
ATR18-ru-27 | ATR18-ru-27 | Физическое Насилие с 15 летнего Возраста | Процент женщин в возрасте 15-49 лет, которые когда-либо подвергались физическому насилию с возраста 15 лет | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.09], ["\u0440\u0440\u043f ", 0.2], ["\u0413\u0411\u0410\u041e ", 0.18], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.36], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.17]] | Физическое Насилие с 15 летнего Возраста | Процент женщин в возрасте 15-49 лет, которые когда-либо подвергались физическому насилию с возраста 15 лет | (душанбе , 0.09) (ррп , 0.2) (ГБАО , 0.18) (хатлонская область , 0.36) (согдийская область, 0.17) | [
". Опыт физического насилия чаще всего встречается среди женщин в Хатлонской области (36%) и реже всего — в Душанбе (9%)."
] | . Опыт физического насилия чаще всего встречается среди женщин в Хатлонской области (36%) и реже всего — в Душанбе (9%). |
ATR18-ru-28 | ATR18-ru-28 | Супружеское Насилие | Процент когда-либо бывших замужем женщин в возрасте 15-49 лет, кто испытывал насилие, совершенное ее супругом или партнером | Map chart | False | [["\u0434\u0443\u0448\u0430\u043d\u0431\u0435 ", 0.16], ["\u0440\u0440\u043f ", 0.26], ["\u0413\u0411\u0410\u041e ", 0.28], ["\u0445\u0430\u0442\u043b\u043e\u043d\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c ", 0.43], ["\u0441\u043e\u0433\u0434\u0438\u0439\u0441\u043a\u0430\u044f \u043e\u0431\u043b\u0430\u0441\u0442\u044c", 0.25]] | Супружеское Насилие | Процент когда-либо бывших замужем женщин в возрасте 15-49 лет, кто испытывал насилие, совершенное ее супругом или партнером | (душанбе , 0.16) (ррп , 0.26) (ГБАО , 0.28) (хатлонская область , 0.43) (согдийская область, 0.25) | [
"О насилии со стороны супруга чаще всего сообщали женщины в Хатлонской области (43%) и реже всего — в Душанбе (16%)."
] | О насилии со стороны супруга чаще всего сообщали женщины в Хатлонской области (43%) и реже всего — в Душанбе (16%). |
FR341-en-1 | FR341-en-1 | Household drinking water by residence | Percent distribution of households by source of drinking water | Vertical bar chart | False | [["", "Piped water into dwelling/yard/plot/ neighbor\u2019s yard", "Public tap/ standpipe", "Tube well or borehole", "Other improved source", "Unimproved source"], ["Total", 53, 14, 9, 4, 20], ["Urban", 90, 3, 3, 1, 3], ["Rural", 37, 19, 12, 5, 28]] | Household drinking water by residence | Percent distribution of households by source of drinking water | (Piped water into dwelling/yard/plot/ neighbor’s yard, Total, 53) (Public tap/ standpipe, Total, 14) (Tube well or borehole, Total, 9) (Other improved source, Total, 4) (Unimproved source, Total, 20) (Piped water into dwelling/yard/plot/ neighbor’s yard, Urban, 90) (Public tap/ standpipe, Urban, 3) (Tube well or borehole, Urban, 3) (Other improved source, Urban, 1) (Unimproved source, Urban, 3) (Piped water into dwelling/yard/plot/ neighbor’s yard, Rural, 37) (Public tap/ standpipe, Rural, 19) (Tube well or borehole, Rural, 12) (Other improved source, Rural, 5) (Unimproved source, Rural, 28) | [
"In Tajikistan, 80% of households have access to an improved source of drinking water.",
"The most common improved source is water piped into a dwelling, yard, or plot (51%), and the most frequently cited unimproved source is surface water, that is, water from rivers, lakes, ponds, or similar sources (12%).",
"Almost all households boil the water used for drinking (92%).",
"Rural households obtain water from unimproved sources much more often than urban households (28% versus 3%).",
"Almost all urban households (96%) have access to drinking water on their premises compared with 65% of rural households."
] | In Tajikistan, 80% of households have access to an improved source of drinking water. |
FR341-en-2 | FR341-en-2 | Household toilet facilities by residence | Percent distribution of households by type of toilet facilities | Vertical bar chart | False | [["", "Improved facility", "Shared facility", "Unimproved facility"], ["Total", 97, 3, 1], ["Urban", 96, 4, 1], ["Rural", 97, 2, 1]] | Household toilet facilities by residence | Percent distribution of households by type of toilet facilities | (Improved facility, Total, 97) (Shared facility, Total, 3) (Unimproved facility, Total, 1) (Improved facility, Urban, 96) (Shared facility, Urban, 4) (Unimproved facility, Urban, 1) (Improved facility, Rural, 97) (Shared facility, Rural, 2) (Unimproved facility, Rural, 1) | [
"Overall, 97% of households have an improved sanitation facility that is not shared with other households.",
"Use of unimproved toilet facilities is not common, just 1% in rural areas and less than 1% in urban areas.",
"Only a few households share improved toilet facilities (4% in urban areas and 2% in rural areas)."
] | Overall, 97% of households have an improved sanitation facility that is not shared with other households. |
FR341-en-3 | FR341-en-3 | Household wealth by residence | Percent distribution of de jure population by wealth quintiles | Vertical bar chart | False | [["", "Poorest", "Second", "Middle", "Fourth", "Wealthiest"], ["Urban ", 2, 2, 6, 21, 69], ["Rural", 26, 26, 25, 20, 4]] | Household wealth by residence | Percent distribution of de jure population by wealth quintiles | (Poorest, Urban , 2) (Second, Urban , 2) (Middle, Urban , 6) (Fourth, Urban , 21) (Wealthiest, Urban , 69) (Poorest, Rural, 26) (Second, Rural, 26) (Middle, Rural, 25) (Fourth, Rural, 20) (Wealthiest, Rural, 4) | [
"presents data on wealth quintiles according to residence and region.",
"Wealth is clearly concentrated in urban areas.",
"Ninety percent of the de jure household population is in the two highest wealth quintiles in urban areas, while 52% falls into the two lowest quintiles in rural areas",
"The concentration of wealth differs markedly by region.",
"Ninety-five percent of the household population in Dushanbe is in the highest quintile.",
"In contrast, 71% of the household population in GBAO is in the two lowest quintiles."
] | presents data on wealth quintiles according to residence and region. |
FR341-en-4 | FR341-en-4 | Population pyramid | Percent distribution of the household population | Horizontal bar chart | False | [["Age", "Male", "Female"], ["80+", "", ""], ["75-79", "", ""], ["70-74", "", ""], ["65-69", "", ""], ["60-64", "", ""], ["55-59", "", ""], ["50-54", "", ""], ["45-49", "", ""], ["40-44", "", ""], ["35-39", "", ""], ["30-34", "", ""], ["25-29", "", ""], ["20-24", "", ""], ["15-19", "", ""], ["2021-10-14 00:00:00", "", ""], ["2021-05-09 00:00:00", "", ""], ["<5", "", ""]] | Population pyramid | Percent distribution of the household population | (Age) (Male) (Female) (80+) (75-79) (70-74) (65-69) (60-64) (55-59) (50-54) (45-49) (40-44) (35-39) (30-34) (25-29) (20-24) (15-19) (2021-10-14 00:00:00) (2021-05-09 00:00:00) (<5) | [
"A total of 44,360 persons (20,729 males and 23,631 females) spent the night before the interview in the 7,843 households surveyed in the 2017 TjDHS.",
"The age structure of the de facto household population shows the effects of past demographic trends in Tajikistan, particularly the country’s moderately high fertility.",
"More than half (55%) of the population is under age 25, and 38% are younger than 15.",
"Four percent of the population is age 65 and older"
] | A total of 44,360 persons (20,729 males and 23,631 females) spent the night before the interview in the 7,843 households surveyed in the 2017 TjDHS. |
FR341-en-5 | FR341-en-5 | Education of survey respondents | Percent distribution of women age 15-49 by highest level of schooling attended or completed | Vertical bar chart | False | [["No education", 2], ["Some primary", 2], ["Primary completed", 2], ["Some secondary", 38], ["Secondary completed", 39], ["Professional primary/ middle", 8], ["Higher", 9]] | Education of survey respondents | Percent distribution of women age 15-49 by highest level of schooling attended or completed | (No education, 2) (Some primary, 2) (Primary completed, 2) (Some secondary, 38) (Secondary completed, 39) (Professional primary/ middle, 8) (Higher, 9) | [
"Over half of women in Tajikistan (56%) have completed a secondary or higher education",
"Eight percent of women have some professional primary or middle education, and 9% have a higher education.",
"Women have completed a median of 9.8 years of schooling."
] | Over half of women in Tajikistan (56%) have completed a secondary or higher education |
FR341-en-6 | FR341-en-6 | Secondary education by region | Percent | Map chart | False | [["Sughd", 0.69], ["Dushanbe", 0.63], ["Khatlon", 0.53], ["DRS", 0.39], ["GBAO", 0.84]] | Secondary education by region | Percent | (Sughd, 0.69) (Dushanbe, 0.63) (Khatlon, 0.53) (DRS, 0.39) (GBAO, 0.84) | [
"Women in DRS are least likely to have completed secondary school or higher (39%) compared with GBAO where they are most likely",
"Women in GBAO and Dushanbe have a clear educational advantage over the rest of the country: 28% of women in GBAO and 27% in Dushanbe have some university education, as compared with 4% and 5% of women in DRS and Khatlon, respectively.",
"Women in GBAO have completed a median of 1.9 more years of schooling than women from DRS (10.7 years versus 8.8 years).",
"The median number of years of schooling exceeds the national average among women age 20-24 (10.3 years) and falls far below the average among women age 30-34 (9.0 years).",
"Women from the wealthiest households have completed a median of 1 more year of schooling than women from the poorest households (10.4 years versus 9.2 years).",
"Women age 25-29 and age 30-34 and women in Khatlon are relatively less likely to be literate (91% each) than women in other age groups and regions (95%-99%).",
"The literacy rate increases with increasing wealth, from 89% among women in the lowest wealth quintile to 98% among women in the highest quintile."
] | Women in DRS are least likely to have completed secondary school or higher (39%) compared with GBAO where they are most likely |
FR341-en-7 | FR341-en-7 | Exposure to mass media | Percentage of women age 15-49 who are exposed to media on a weekly basis | Vertical bar chart | False | [["Reads newspaper", 19], ["Watches television", 87], ["Listens to radio", 14], ["All three media", 8], ["None of these media", 12]] | Exposure to mass media | Percentage of women age 15-49 who are exposed to media on a weekly basis | (Reads newspaper, 19) (Watches television, 87) (Listens to radio, 14) (All three media, 8) (None of these media, 12) | [
"Television is the form of media most commonly accessed at least weekly (87%) among women age 15-49 in Tajikistan.",
"Women have considerably less regular exposure to the other two forms of media: 19% read a newspaper at least once a week, while 14% listen to the radio at least once a week",
"Twelve percent of women have no access to any of the three forms of media at least once a week."
] | Television is the form of media most commonly accessed at least weekly (87%) among women age 15-49 in Tajikistan. |
FR341-en-8 | FR341-en-8 | Employment status by education | Percentage of women age 15-49 who are currently employed | Vertical bar chart | False | [["No education/ primary", 18], ["General basic", 16], ["General secondary", 22], ["Professional primary/ middle", 45], ["Higher", 54]] | Employment status by education | Percentage of women age 15-49 who are currently employed | (No education/ primary, 18) (General basic, 16) (General secondary, 22) (Professional primary/ middle, 45) (Higher, 54) | [
"The percentage of women employed at the time of the survey increases steadily with age, from 11% among those age 15-19 to 40% among those age 45-49.",
"Women who are currently married or who were previously married are more likely to be employed than those who have never been married.",
"Half of women who are divorced, separated, or widowed (51%) are currently working, as compared with one-quarter of married women (24%) and 19% of nevermarried women.",
"Employment status varies widely by region. The current employment rate is highest in Sughd (31%) and lowest in DRS (14%) and ranges from 24% to 30% in other regions of Tajikistan.",
"The current employment rate generally increases with increasing education.",
"Women with a higher education are three times more likely to be currently employed as women with no education or only a primary education (54% versus 18%)"
] | The percentage of women employed at the time of the survey increases steadily with age, from 11% among those age 15-19 to 40% among those age 45-49. |
FR341-en-9 | FR341-en-9 | Occupation | Percentage of women age 15-49 employed in the 12 months before the survey by occupation | Horizontal bar chart | False | [["Agriculture", 33], ["Unskilled manual", 11], ["Skilled manual", 13], ["Sales and services", 13], ["Clerical", 1], ["Professional/ technical/managerial", 30]] | Occupation | Percentage of women age 15-49 employed in the 12 months before the survey by occupation | (Agriculture, 33) (Unskilled manual, 11) (Skilled manual, 13) (Sales and services, 13) (Clerical, 1) (Professional/ technical/managerial, 30) | [
"Women who were employed in the 12 months preceding the survey were most likely to work in agriculture (33%); 30% were employed in professional, technical, or managerial positions, while 13% worked in sales and services, 13% in skilled manual labor, 11% in unskilled manual labor, and 1% in clerical jobs"
] | Women who were employed in the 12 months preceding the survey were most likely to work in agriculture (33%); 30% were employed in professional, technical, or managerial positions, while 13% worked in sales and services, 13% in skilled manual labor, 11% in unskilled manual labor, and 1% in clerical jobs |
FR341-en-10 | FR341-en-10 | Hypertension by age | Percentage of women with hypertension | Line chart | False | [["Age group", "Percentage of women with hypertension"], ["15-19", 4], ["20-24", 4], ["25-29", 6], ["30-34", 8], ["35-39", 16], ["40-44", 19], ["45-49", 28]] | Hypertension by age | Percentage of women with hypertension | (Age group, Percentage of women with hypertension) (15-19, 4) (20-24, 4) (25-29, 6) (30-34, 8) (35-39, 16) (40-44, 19) (45-49, 28) | [
"The 2017 TjDHS results corroborate other epidemiological studies showing that hypertension is positively associated with age",
"The prevalence of hypertension is seven times higher among women age 45- 49 (28%) than among women age 20-24 (4%)."
] | The 2017 TjDHS results corroborate other epidemiological studies showing that hypertension is positively associated with age |
FR341-en-11 | FR341-en-11 | Hypertension by Body Mass Index (BMI) | Percentage of women age 15-49 with hypertension | Vertical bar chart | False | [["Thin (BMI <18.5)", 2], ["Normal (BMI 18.5-24.9)", 6], ["Overweight (BMI 25.0-29.9)", 12], ["Obese (BMI \u226530.0)", 28], ["All women", 10]] | Hypertension by Body Mass Index (BMI) | Percentage of women age 15-49 with hypertension | (Thin (BMI <18.5), 2) (Normal (BMI 18.5-24.9), 6) (Overweight (BMI 25.0-29.9), 12) (Obese (BMI ≥30.0), 28) (All women, 10) | [
"Significant differences in the prevalence of hypertension are found among women according to their body mass index (BMI).",
"As expected, hypertension levels are higher among overweight/obese women than among those of normal weight",
"The rate of hypertension among obese women (BMI of 30 or above) is 28%, as compared with 2% among women who are thin (BMI below 18.5) and 6% among women of normal weight (BMI between 18.5 and 24.9).",
"Differentials in hypertension rates by urbanrural residence are negligible.",
"However, by region, the prevalence of hypertension ranges from 7% among women in Dushanbe to 12% among women in DRS.",
"As expected, although not universal, controlled hypertension is higher among women diagnosed with high blood pressure by a health provider (42%) than the national average of 17%"
] | Significant differences in the prevalence of hypertension are found among women according to their body mass index (BMI). |
FR341-en-12 | FR341-en-12 | Awareness of hypertension | Awareness of hypertension and treatment status among women age 15-49 with hypertension | Pie chart | False | [["Unaware", 0.6], ["Aware, treated, controlled", 0.17], ["Aware, treated, not controlled", 0.15], ["Aware, not treated", 0.08]] | Awareness of hypertension | Awareness of hypertension and treatment status among women age 15-49 with hypertension | (Unaware, 0.6) (Aware, treated, controlled, 0.17) (Aware, treated, not controlled, 0.15) (Aware, not treated, 0.08) | [
"Four in 10 women with high blood pressure reported that they are aware of their condition (40%); 17% are being treated and have brought their blood pressure under control, and 15% are being treated but still have elevated blood pressure.",
"Eight percent of hypertensive women are aware that they have elevated blood pressure but are not being treated, and 60% are unaware of their condition.",
"Although the overall rate of hypertension among adult women in Tajikistan is relatively low, hypertension is a serious health problem among women age 45 and older and those who are obese.",
"A first step toward bringing hypertension under control is awareness by individuals of their condition and its implications in terms of premature disability and death.",
"Many Tajikistani women may suffer from hypertension but do not know it; hypertension is often termed the ‘silent killer’ because of the lack of warning signs or symptoms.",
"Educating the population about the adverse effects of hypertension and promoting blood pressure screening, particularly among older individuals, should be an important focus of health programs."
] | Four in 10 women with high blood pressure reported that they are aware of their condition (40%); 17% are being treated and have brought their blood pressure under control, and 15% are being treated but still have elevated blood pressure. |
FR341-en-13 | FR341-en-13 | Marital status | Percent distribution of women age 15-49 | Pie Chart | False | [["Married or living together", 0.72], ["Never married", 0.22], ["Widowed", 0.02], ["Divorced/ separated", 0.04]] | Marital status | Percent distribution of women age 15-49 | (Married or living together, 0.72) (Never married, 0.22) (Widowed, 0.02) (Divorced/ separated, 0.04) | [
"In Tajikistan, 72% of women age 15-49 are currently married.",
"Reflecting the traditional character of Tajik society, virtually all of these women are in formal unions; less than 1% report they are living together with a partner.",
"Around one-fifth of women (22%) have never been married, 4% are divorced or separated, and 2% are widowed"
] | In Tajikistan, 72% of women age 15-49 are currently married. |
FR341-en-14 | FR341-en-14 | Women’s median age at marriage by region | Median age at first marriage among women age 25-49 | Vertical bar chart | False | [["Dushanbe", 20.8], ["GBAO", 23.1], ["Sughd", 20], ["DRS", 20.1], ["Khatlon", 20.3]] | Women’s median age at marriage by region | Median age at first marriage among women age 25-49 | (Dushanbe, 20.8) (GBAO, 23.1) (Sughd, 20) (DRS, 20.1) (Khatlon, 20.3) | [
"The median age at first marriage among women age 25-49 was only slightly higher in urban than in rural areas (20.5 years versus 20.1 years)",
"GBAO has the highest median age at marriage (23.1 years), followed by Dushanbe (20.8 years)"
] | The median age at first marriage among women age 25-49 was only slightly higher in urban than in rural areas (20.5 years versus 20.1 years) |
FR341-en-15 | FR341-en-15 | Median age at first sex and first marriage | Median age in years among women age 25-49 | Vertical bar chart | False | [["Median age at first sex", 20.2], ["Median age at first marriage", 20.2]] | Median age at first sex and first marriage | Median age in years among women age 25-49 | (Median age at first sex, 20.2) (Median age at first marriage, 20.2) | [
"Tajikistan is a traditional society. In such settings, women are unlikely to engage in or admit to engaging in sexual intercourse before marriage.",
"Thus, it is not surprising that the findings with respect to age at first intercourse among women age 25-49 closely parallel theinformation the women reported with regard to theage at which they first married.",
"The median age at first intercourse among women age 25-49 is in fact identical to the median age at which these women first married (20.2 years)"
] | Tajikistan is a traditional society. In such settings, women are unlikely to engage in or admit to engaging in sexual intercourse before marriage. |
FR341-en-16 | FR341-en-16 | Age-specific fertility rates | Births per 1,000 women | Line chart | False | [["Age group", "Urban", "Rural", "Total"], ["15-19", 40, 50, 50], ["20-24", 240, 300, 300], ["25-29", 160, 220, 210], ["30-34", 100, 140, 130], ["35-39", 40, 60, 50], ["40-44", 10, 10, 10], ["45-49", 0, 0, 0]] | Age-specific fertility rates | Births per 1,000 women | (Age group) (Urban) (Rural) (Total) (15-19) (40) (50) (50) (20-24) (240) (300) (300) (25-29) (160) (220) (210) (30-34) (100) (140) (130) (35-39) (40) (60) (50) (40-44) (10) (10) (10) (45-49) (0) (0) (0) | [
"The total fertility rate (TFR) in Tajikistan is 3.8 births per woman",
"The pace of childbearing increases rapidly with age, rising from a rate of 54 births per 1,000 women in the 15-19 age group to a peak of 303 births per 1,000 women in the 20-24 age group.",
"At most ages, age-specific fertility rates are T 60 • Fertility higher among rural than urban women with the gap especially marked among women age20-24.",
"Overall, the TFR is 4.0 births per woman in rural areas, as compared with 3.0 births in urban areas."
] | The total fertility rate (TFR) in Tajikistan is 3.8 births per woman |
FR341-en-17 | FR341-en-17 | Trends in fertility by residence | TFR for the 3 years before each survey | Vertical bar chart | False | [["", "2012 TjDHS", "2017 TjDHS"], ["Total", 3.8, 3.8], ["Urban", 3.3, 3], ["Rural", 3.9, 4]] | Trends in fertility by residence | TFR for the 3 years before each survey | (2012 TjDHS, Total, 3.8) (2017 TjDHS, Total, 3.8) (2012 TjDHS, Urban, 3.3) (2017 TjDHS, Urban, 3) (2012 TjDHS, Rural, 3.9) (2017 TjDHS, Rural, 4) | [
"The TFR remained stable at 3.8 births per woman between the 2012 and 2017 TjDHS surveys",
"The TFR in rural areas increased slightly between the two surveys, from 3.9 births in 2012 to 4.0 births in 2017, while the TFR in urban areas dropped from 3.3 births to 3.0 births"
] | The TFR remained stable at 3.8 births per woman between the 2012 and 2017 TjDHS surveys |
FR341-en-18 | FR341-en-18 | Fertility by region | Total fertility rate for the 3 years before the survey | Map chart | False | [["Sughd", 3.5], ["Dushanbe", 2.7], ["Khatlon", 4.1], ["DRS", 4], ["GBAO", 3.5]] | Fertility by region | Total fertility rate for the 3 years before the survey | (Sughd, 3.5) (Dushanbe, 2.7) (Khatlon, 4.1) (DRS, 4) (GBAO, 3.5) | [
"By region, the TFR is highest in Khatlon (4.1 births per woman) and DRS (4.0 births per woman) and lowest in Dushanbe (2.7 births per woman)",
"The TFR generally declines with increasing education, from 3.9 to 4.0 births among women with a general secondary education or less to 2.8 births among women with a higher education",
"The TFR in the highest wealth quintile is 3.0 births per woman, which is considerably lower than the rates in the other quintiles (3.8 to 4.1 births)."
] | By region, the TFR is highest in Khatlon (4.1 births per woman) and DRS (4.0 births per woman) and lowest in Dushanbe (2.7 births per woman) |
FR341-en-19 | FR341-en-19 | Birth intervals | Percent distribution of non-first births by number of months since the preceding birth | Pie graph | False | [["48+", 0.22], ["2021-07-17 00:00:00", 0.17], ["18-23", 0.19], ["24-35", 0.28], ["36-47", 0.14]] | Birth intervals | Percent distribution of non-first births by number of months since the preceding birth | (48+, 0.22) (2021-07-17 00:00:00, 0.17) (18-23, 0.19) (24-35, 0.28) (36-47, 0.14) | [
"Short birth intervals, particularly intervals less than 24 months, are associated with increased health risks for both mothers and newborns.",
"In Tajikistan, more than one in three (36%) non-first births occur within 24 months of a previous birth, with 17% taking place less than 18 months after a preceding birth",
"The median birth interval is 28.8 months"
] | Short birth intervals, particularly intervals less than 24 months, are associated with increased health risks for both mothers and newborns. |
FR341-en-20 | FR341-en-20 | Median age at first birth by residence | Median age at first birth among women age 25-49 | Vertical bar chart | False | [["Total ", 21.9], ["Urban", 22], ["Rural", 21.8]] | Median age at first birth by residence | Median age at first birth among women age 25-49 | (Total , 21.9) (Urban, 22) (Rural, 21.8) | [
"There is little difference in the median age at first birth between urban and rural women (22.0 years versus 21.8 years)",
"The median age at first birth is highest in GBAO (24.6 years) and lowest in Sughd (21.6 years)."
] | There is little difference in the median age at first birth between urban and rural women (22.0 years versus 21.8 years) |
FR341-en-21 | FR341-en-21 | Teenage pregnancy and motherhood by woman’s age | Percentage of women who have begun childbearing | Vertical bar chart | False | [["Age", "Percentage of women who have begun childbearing"], ["15-17", "<1"], [18, 8], [19, 26]] | Teenage pregnancy and motherhood by woman’s age | Percentage of women who have begun childbearing | (Age, Percentage of women who have begun childbearing) (15-17, <1) (18, 8) (19, 26) | [
"Most childbearing occurs among older teens; virtually no girls under age 18 have begun childbearing, and only 8% of those age 18 have initiated childbearing",
"Teenage childbearing is lowest in GBAO (2%) and Dushanbe (3%) and highest in DRS (9%)."
] | Most childbearing occurs among older teens; virtually no girls under age 18 have begun childbearing, and only 8% of those age 18 have initiated childbearing |
FR341-en-22 | FR341-en-22 | Desire to limit childbearing by number of living children | Percentage of currently married women age 15-49 who want no more children | Vertical bar chart | False | [["Number of living children", "Percentage of currently married women age 15-49 who want no more children"], [0, 1], [1, 5], [2, 27], [3, 59], [4, 70], [5, 78], ["6+", 74]] | Desire to limit childbearing by number of living children | Percentage of currently married women age 15-49 who want no more children | (Number of living children, Percentage of currently married women age 15-49 who want no more children) (0, 1) (1, 5) (2, 27) (3, 59) (4, 70) (5, 78) (6+, 74) | [
"The desire to limit fertility markedly increases by number of living children",
"For example, 27% of married women with two children want no more children, while nearly 6 in 10 women with three children say they want no more, as do at least 7 in 10 women with four or more children."
] | The desire to limit fertility markedly increases by number of living children |
FR341-en-23 | FR341-en-23 | Ideal family size | Mean ideal number of children among women age 15-49 | Vertical bar chart | False | [["All", 3.4], ["Currently married", 3.6]] | Ideal family size | Mean ideal number of children among women age 15-49 | (All, 3.4) (Currently married, 3.6) | [
"The mean ideal family size for all women age 15-49 in Tajikistan is 3.4 children",
"The mean ideal family size for currently married women, at 3.7, is slightly higher than for all women"
] | The mean ideal family size for all women age 15-49 in Tajikistan is 3.4 children |
FR341-en-24 | FR341-en-24 | Ideal family size by number of living children | Mean ideal number of children | Vertical bar chart | False | [["Number of living children", "Mean ideal number of children"], [0, 2.8], [1, 3.1], [2, 3.2], [3, 3.7], [4, 4.1], [5, 4.7], ["6+", 5.6]] | Ideal family size by number of living children | Mean ideal number of children | (Number of living children, Mean ideal number of children) (0, 2.8) (1, 3.1) (2, 3.2) (3, 3.7) (4, 4.1) (5, 4.7) (6+, 5.6) | [
"In general, ideal family size increases considerably with increasing numbers of living children",
"For example, women who have two children consider 3.2 children ideal, whereas women who have six or more children consider 5.6 children ideal.",
"This trend among all women is similar among currently married women."
] | In general, ideal family size increases considerably with increasing numbers of living children |
FR341-en-25 | FR341-en-25 | Fertility planning status | Percent distribution of births to women age 15-49 in the 5 years before the survey (including current pregnancies) by planning status of births | Pie chart | False | [["Wanted then", 0.95], ["Mistimed", 0.03], ["Unwanted ", 0.02]] | Fertility planning status | Percent distribution of births to women age 15-49 in the 5 years before the survey (including current pregnancies) by planning status of births | (Wanted then, 0.95) (Mistimed, 0.03) (Unwanted , 0.02) | [
"Almost all births in the 5 years before the survey were wanted at the time of conception (95%). Only 3% of births were mistimed (that is, wanted at a later date), and 2% were not wanted at all",
"The percentage of births that were wanted has increased slightly in the past 5 years, from 93% in 2012 to 95% in 2017. The percentage of unwanted births has decreased from 3% to 2%."
] | Almost all births in the 5 years before the survey were wanted at the time of conception (95%). Only 3% of births were mistimed (that is, wanted at a later date), and 2% were not wanted at all |
FR341-en-26 | FR341-en-26 | Trends in wanted and actual fertility | Wanted and actual number of children per woman | Vertical bar chart | False | [["", "Total wanted fertility", "Difference", "TFR"], ["2012 TjDHS", 3.3, 0.5, 3.8], ["2017 TjDHS", 3.5, 0.3, 3.8]] | Trends in wanted and actual fertility | Wanted and actual number of children per woman | (Total wanted fertility, 2012 TjDHS, 3.3) (Difference, 2012 TjDHS, 0.5) (TFR, 2012 TjDHS, 3.8) (Total wanted fertility, 2017 TjDHS, 3.5) (Difference, 2017 TjDHS, 0.3) (TFR, 2017 TjDHS, 3.8) | [
"show differentials in wanted fertility rates and total fertility rates among women age 15-49.",
"The wanted fertility indicates what fertility would be if women had only the children they desired.",
"The total wanted fertility rate in Tajikistan is 3.5 children, 0.3 children less than the current total fertility rate of 3.8 children."
] | show differentials in wanted fertility rates and total fertility rates among women age 15-49. |
FR341-en-27 | FR341-en-27 | Contraceptive use | Percentage of currenlty married women age 15-49 currently using a contraceptive method | Horizontal bar chart | False | [["Traditional method", 2], ["Other modern", 1], ["Female sterilization", 1], ["Injectables", 1], ["Pill", 2], ["Male condom", 4], ["IUD", 18], ["Any modern method", 27], ["Any method", 29]] | Contraceptive use | Percentage of currenlty married women age 15-49 currently using a contraceptive method | (Traditional method, 2) (Other modern, 1) (Female sterilization, 1) (Injectables, 1) (Pill, 2) (Male condom, 4) (IUD, 18) (Any modern method, 27) (Any method, 29) | [
"Almost all currently married women age 15-49 know at least one method of family planning (98%)",
"On average, married women have heard of more than seven contraceptive methods.",
"The intrauterine device (IUD) (96%) is the most widely known method, followed by the pill (89%) and the male condom (85%)."
] | Almost all currently married women age 15-49 know at least one method of family planning (98%) |
FR341-en-28 | FR341-en-28 | Trends in contraceptive use | Percentage of currently married women age 15-49 currently using a contraceptive method | Vertical bar chart | False | [["", "2012 TjDHS", "2017 TjDHS"], ["Any modern method", 26, 27], ["Any traditional method", 2, 2]] | Trends in contraceptive use | Percentage of currently married women age 15-49 currently using a contraceptive method | (2012 TjDHS, Any modern method, 26) (2017 TjDHS, Any modern method, 27) (2012 TjDHS, Any traditional method, 2) (2017 TjDHS, Any traditional method, 2) | [
"The contraceptive prevalence rate changed only minimally in the 5 years between the 2012 and 2017 TjDHS surveys; 29% of currently married women were using a method in 2017, as compared with 28% in 2012.",
"The level of use of modern methods also remained virtually unchanged; 27% of married women were using modern methods in 2017, compared with 26% in 2012",
"With regard to trends in the use of specific methods, the largest increase was observed in the percentage of women reporting use of male condoms; this percentage rose from 2% in 2012 to 4% in 2017."
] | The contraceptive prevalence rate changed only minimally in the 5 years between the 2012 and 2017 TjDHS surveys; 29% of currently married women were using a method in 2017, as compared with 28% in 2012. |
FR341-en-29 | FR341-en-29 | Modern contraceptive use by region | Percentage of currently married women age 15-49 | Map chart | False | [["Sughd", 0.34], ["Dushanbe", 0.3], ["Khatlon", 0.21], ["DRS", 0.25], ["GBAO", 0.36]] | Modern contraceptive use by region | Percentage of currently married women age 15-49 | (Sughd, 0.34) (Dushanbe, 0.3) (Khatlon, 0.21) (DRS, 0.25) (GBAO, 0.36) | [
"Modern contraceptive methods are most likely to be used in GBAO (36%) and Sughd (34%) and least likely to be used in Khatlon (21%) and DRS (25%)"
] | Modern contraceptive methods are most likely to be used in GBAO (36%) and Sughd (34%) and least likely to be used in Khatlon (21%) and DRS (25%) |
FR341-en-30 | FR341-en-30 | Use of modern methods by education | Percentage of currently married women age 15-49 using a modern contraceptive method | Vertical bar chart | False | [["None/ primary", 20], ["General basic", 27], ["General secondary", 27], ["Professional primary/ middle", 30], ["Higher", 32]] | Use of modern methods by education | Percentage of currently married women age 15-49 using a modern contraceptive method | (None/ primary, 20) (General basic, 27) (General secondary, 27) (Professional primary/ middle, 30) (Higher, 32) | [
"The percentage of women who use modern contraception increases with increasing education, from 20% among those with no education or a primary education to 32% among those with a higher education",
"Use of modern contraception also generally increases with increasing wealth, peaking at 31% among women in the highest quintile."
] | The percentage of women who use modern contraception increases with increasing education, from 20% among those with no education or a primary education to 32% among those with a higher education |
FR341-en-31 | FR341-en-31 | Source of modern contraceptive methods | Percent distribution of current users of modern methods age 15-49 by most recent source of method | Pie chart | False | [["Public sector", 0.89], ["Private medical sector", 0.11], ["Other/don\u2019t know", 0.01]] | Source of modern contraceptive methods | Percent distribution of current users of modern methods age 15-49 by most recent source of method | (Public sector, 0.89) (Private medical sector, 0.11) (Other/don’t know, 0.01) | [
"In Tajikistan, the government sector is by far the most common source for contraceptive methods, serving 89% of modern method users",
"Health centers provide services for almost half of all modern method users (47%), while maternity homes serve 20% and government hospitals serve 12% of modern method users.",
"Ten percent of women, mainly those using the male condom or pills, acquire their method from pharmacies."
] | In Tajikistan, the government sector is by far the most common source for contraceptive methods, serving 89% of modern method users |
FR341-en-32 | FR341-en-32 | Contraceptive discontinuation rates | Percentage of contraceptive episodes discontinued within 12 months among women age 15-49 | Vertical bar chart | False | [["IUD", 17], ["Injectables", 47], ["Pill", 55], ["Male condom", 36], ["All methods", 28]] | Contraceptive discontinuation rates | Percentage of contraceptive episodes discontinued within 12 months among women age 15-49 | (IUD, 17) (Injectables, 47) (Pill, 55) (Male condom, 36) (All methods, 28) | [
"More than 1 in 4 women (28%) who began using a contraceptive method in the 5 years before the survey discontinued the method within 12 months of use",
"Women switched to another method in only 3% of all episodes of use during the period. The discontinuation rate was lowest for the IUD (17%)"
] | More than 1 in 4 women (28%) who began using a contraceptive method in the 5 years before the survey discontinued the method within 12 months of use |
FR341-en-33 | FR341-en-33 | Demand for family planning | Percent distribution of currently married women age 15-49 by need for family planning | Pie chart | False | [["No need for family planning", 0.48], ["Unmet need for spacing", 0.11], ["Unmet need for limiting", 0.11], ["Met need for spacing", 0.09], ["Met need for limiting", 0.2]] | Demand for family planning | Percent distribution of currently married women age 15-49 by need for family planning | (No need for family planning, 0.48) (Unmet need for spacing, 0.11) (Unmet need for limiting, 0.11) (Met need for spacing, 0.09) (Met need for limiting, 0.2) | [
"Overall, 23% of currently married women age 15-49 have an unmet need for family planning and are not using contraception",
"Women who are in need of family planning are divided equally between those with a desire to space a wanted birth and those who want to limit their family size to the number of children they have (11% each)."
] | Overall, 23% of currently married women age 15-49 have an unmet need for family planning and are not using contraception |
FR341-en-34 | FR341-en-34 | Trends in demand for family planning | Percentage of currently married women age 15-49 | Line graph | False | [["Unmet need", ""], ["Metneed, traditional methods", ""], ["Met need, modern methods", ""], ["Total demand", ""]] | Trends in demand for family planning | Percentage of currently married women age 15-49 | | [
"The level of unmet need for family planning did not change between the 2012 and 2017 TjDHS surveys, with 23% of married women found to be in need according to both surveys.",
"Because there was only a slight increase in met need for family planning (from 28% in 2012 to 29% in 2017), the total demand for family planning remained virtually unchanged as well (51% in 2012 and 52% in 2017)"
] | The level of unmet need for family planning did not change between the 2012 and 2017 TjDHS surveys, with 23% of married women found to be in need according to both surveys. |
FR341-en-35 | FR341-en-35 | Unmet need by region | Percentage of currently married women age 15-49 with unmet need for family planning | Map chart | False | [["Sughd", 0.19], ["Dushanbe", 0.22], ["Khatlon", 0.23], ["DRS", 0.29], ["GBAO", 0.16]] | Unmet need by region | Percentage of currently married women age 15-49 with unmet need for family planning | (Sughd, 0.19) (Dushanbe, 0.22) (Khatlon, 0.23) (DRS, 0.29) (GBAO, 0.16) | [
"Unmet need for spacing is highest among married women age 20-24 (20%), while unmet need for limiting is highest among women age 30-34 (18%).",
"The level of unmet need is almost the same among urban and rural women (22% versus 23%).",
"Unmet need is highest in DRS (29%) and lowest in GBAO (16%)"
] | Unmet need for spacing is highest among married women age 20-24 (20%), while unmet need for limiting is highest among women age 30-34 (18%). |
FR341-en-37 | FR341-en-37 | Induced abortion by pregnancy order | Percentage of pregnancies in the 3 years before the survey ending in induced abortions by pregnancy order | Vertical bar chart | False | [["First", "<1"], ["Second", 2], ["Third", 8], ["Fourth", 15], ["Fifth or higher", 32]] | Induced abortion by pregnancy order | Percentage of pregnancies in the 3 years before the survey ending in induced abortions by pregnancy order | (First, <1) (Second, 2) (Third, 8) (Fourth, 15) (Fifth or higher, 32) | [
"Pregnancy order is strongly related to pregnancy outcomes; the percentage of pregnancies ending in an abortion increased from less than 1% among first pregnancies to 32% among fifth- or higher-order pregnancies",
"Pregnancies among urban women were only slightly more likely to end in an induced abortion than pregnancies among rural women (10% versus 9%).",
"The proportion of pregnancies ending in an induced abortion was highest in Dushanbe (11%) and lowest in GBAO (6%)."
] | Pregnancy order is strongly related to pregnancy outcomes; the percentage of pregnancies ending in an abortion increased from less than 1% among first pregnancies to 32% among fifth- or higher-order pregnancies |
FR341-en-38 | FR341-en-38 | Age-specific abortion rates | Abortions per 1,000 women | Line chart | False | [["Age group", "Abortions per 1,000 women"], ["15-19", ""], ["20-24", ""], ["25-29", ""], ["30-34", ""], ["35-39", ""], ["40-44", ""], ["45-49", ""]] | Age-specific abortion rates | Abortions per 1,000 women | (Age group, Abortions per 1,000 women) | [
"The total abortion rate (TAR) in Tajikistan is 0.5 abortions per woman",
"This means that the average number of abortions a Tajik woman will have at the current age-specific abortion rate is equivalent to 13% of the average number of births (3.8 births).",
"The rate at which women have abortions increases with age, from 1 abortion per 1,000 women in the 15-19 age group to a peak of 28 abortions per 1,000 women in the 30-34 age group"
] | The total abortion rate (TAR) in Tajikistan is 0.5 abortions per woman |
FR341-en-40 | FR341-en-40 | Trends in early childhood mortality rates | Deaths per 1,000 live births in the 5-year period before the survey | Line chart | False | [["", "2012 TjDHS", "2017 TjDHS"], ["Neonatal mortality", 19, 30], ["Infant mortality", 34, 27], ["Under-5 mortality", 43, 33]] | Trends in early childhood mortality rates | Deaths per 1,000 live births in the 5-year period before the survey | (2012 TjDHS, Neonatal mortality, 19) (2017 TjDHS, Neonatal mortality, 30) (2012 TjDHS, Infant mortality, 34) (2017 TjDHS, Infant mortality, 27) (2012 TjDHS, Under-5 mortality, 43) (2017 TjDHS, Under-5 mortality, 33) | [
"Overall, under-5 mortality declined between the 2012 and 2017 TjDHS surveys, from 43 deaths per 1,000 live births to 33 deaths per 1,000 live births.",
"Infant mortality decreased from 34 to 27 deaths per 1,000 live births over the same period, while neonatal mortality fell from 19 to 13 deaths per 1,000 live births"
] | Overall, under-5 mortality declined between the 2012 and 2017 TjDHS surveys, from 43 deaths per 1,000 live births to 33 deaths per 1,000 live births. |
FR341-en-42 | FR341-en-42 | Under-5 mortality by household wealth | Deaths per 1,000 live births for the 10-year period before the survey | Vertical bar chart | False | [["Lowest", 47], ["Second", 42], ["Middle", 33], ["Fourth", 23], ["Highest", 20]] | Under-5 mortality by household wealth | Deaths per 1,000 live births for the 10-year period before the survey | (Lowest, 47) (Second, 42) (Middle, 33) (Fourth, 23) (Highest, 20) | [
"Childhood mortality rates generally decrease as mother’s education and household wealth increase.",
"For instance, under-5 mortality declines from 47 deaths per 1,000 live births among children born to women in the lowest wealth quintile to 20 deaths per 1,000 live births among children born to women in the highest quintile"
] | Childhood mortality rates generally decrease as mother’s education and household wealth increase. |
FR341-en-43 | FR341-en-43 | Childhood mortality by previous birth interval | Deaths per 1,000 live births for the 10-year period before the survey | Vertical bar chart | False | [["", "Infant mortality", "Under-5 mortality"], ["<2 years", 30, 40], ["2 years", 23, 29], ["3 years", 20, 24], ["4+ years", 24, 30]] | Childhood mortality by previous birth interval | Deaths per 1,000 live births for the 10-year period before the survey | (Infant mortality, <2 years, 30) (Under-5 mortality, <2 years, 40) (Infant mortality, 2 years, 23) (Under-5 mortality, 2 years, 29) (Infant mortality, 3 years, 20) (Under-5 mortality, 3 years, 24) (Infant mortality, 4+ years, 24) (Under-5 mortality, 4+ years, 30) | [
"Mortality rates are generally higher among children born less than 2 years after a previous birth than among children born 2 or more years after a prior birth"
] | Mortality rates are generally higher among children born less than 2 years after a previous birth than among children born 2 or more years after a prior birth |
FR341-en-46 | FR341-en-46 | Trends in place of birth | Percentage of live births in the 5 years before the survey | Line chart | False | [["", "Delivered at home", "Delivered in health facility"], ["2012 TjDHS", 23, 77], ["2017 TjDHS", 12, 88]] | Trends in place of birth | Percentage of live births in the 5 years before the survey | (Delivered at home, 2012 TjDHS, 23) (Delivered in health facility, 2012 TjDHS, 77) (Delivered at home, 2017 TjDHS, 12) (Delivered in health facility, 2017 TjDHS, 88) | [
"The percentage of institutional deliveries increased from 77% in 2012 to 88% in 2017; correspondingly, the percentage of home deliveries halved during the same period (from 23% in 2012 to 12% in 2017)",
"While home deliveries decreased in all regions of Tajikistan between 2012 and 2017, the most substantive reductions were observed in Khatlon (from 31% to 15%), GBAO (from 34% to 24%), and DRS (from 29% to 21%)."
] | The percentage of institutional deliveries increased from 77% in 2012 to 88% in 2017; correspondingly, the percentage of home deliveries halved during the same period (from 23% in 2012 to 12% in 2017) |
FR341-en-49 | FR341-en-49 | Childhood vaccinations | Percentage of children age 24-35 months vaccinated at any time before the survey | Vertical bar chart | False | [["BCG", "", 96], ["DPT/Pentavalent", "", ""], ["", 1, 92], ["", 2, 90], ["", 3, 87], ["Polio", "", ""], ["", 1, 92], ["", 2, 90], ["", 3, 87], ["Measles", "", 87], ["All basic", "", 82], ["None", "", 3]] | Childhood vaccinations | Percentage of children age 24-35 months vaccinated at any time before the survey | (BCG) (96) (DPT/Pentavalent) (1) (92) (2) (90) (3) (87) (Polio) (1) (92) (2) (90) (3) (87) (Measles) (87) (All basic) (82) (None) (3) | [
"82% had received all basic vaccinations at the time of the survey.",
"Only 3% had received no vaccinations.",
"Among the basic vaccinations, coverage is highest for the BCG vaccine (96%), followed closely by DPTHepB-Hib 1 and polio 1 (92% each).",
"Coverage remains high for subsequent doses of the DPT-HepB-Hib and polio vaccines, with 87% of children having received the third doses of each of these vaccines.",
"Eightyseven percent of children age 24-35 months have been vaccinated against measles and rubella."
] | 82% had received all basic vaccinations at the time of the survey. |
FR341-en-50 | FR341-en-50 | Vaccination coverage by residence | Percentage of children age 24-35 months who received all basic vaccines at any time before the survey | Vertical bar chart | False | [["Urban", 76], ["Rural", 84], ["Total", 82]] | Vaccination coverage by residence | Percentage of children age 24-35 months who received all basic vaccines at any time before the survey | (Urban, 76) (Rural, 84) (Total, 82) | [
"84% of children age 24-35 months in rural areas have received all basic vaccinations, as compared with 76% of children in urban areas"
] | 84% of children age 24-35 months in rural areas have received all basic vaccinations, as compared with 76% of children in urban areas |
FR341-en-51 | FR341-en-51 | Basic vaccinations by region | Percentage of children age 24-35 months who received all basic vaccinations | Map chart | False | [["Sughd", 0.92], ["Dushanbe", 0.71], ["Khatlon", 0.86], ["DRS", 0.69], ["GBAO", 0.7]] | Basic vaccinations by region | Percentage of children age 24-35 months who received all basic vaccinations | (Sughd, 0.92) (Dushanbe, 0.71) (Khatlon, 0.86) (DRS, 0.69) (GBAO, 0.7) | [
"Sughd has the highest proportion of children age 24-35 months who have received all basic vaccinations (92%), followed by Khatlon (86%)"
] | Sughd has the highest proportion of children age 24-35 months who have received all basic vaccinations (92%), followed by Khatlon (86%) |
FR341-en-52 | FR341-en-52 | Diarrhea prevalence by age | Percentage of children who had diarrhea in the 2 weeks before the survey | Vertical bar chart | False | [["Age in months", "Percentage of children who had diarrhea in the 2 weeks before the survey"], ["<6", 12], ["2021-06-11 00:00:00", 23], ["2021-12-23 00:00:00", 21], ["24-35", 14], ["36-47", 8], ["48-59", 6], ["Total", 13]] | Diarrhea prevalence by age | Percentage of children who had diarrhea in the 2 weeks before the survey | (Age in months, Percentage of children who had diarrhea in the 2 weeks before the survey) (<6, 12) (2021-06-11 00:00:00, 23) (2021-12-23 00:00:00, 21) (24-35, 14) (36-47, 8) (48-59, 6) (Total, 13) | [
"The prevalence of diarrhea increases rapidly with the child’s age, from 12% among children less than age 6 months to 23% among those age 6-11 months, when children are typically introduced to complementary foods.",
"After age 1, the prevalence of diarrhea gradually decreases"
] | The prevalence of diarrhea increases rapidly with the child’s age, from 12% among children less than age 6 months to 23% among those age 6-11 months, when children are typically introduced to complementary foods. |
FR341-en-53 | FR341-en-53 | Feeding practices during diarrhea | Percentage of children under age 5 with diarrhea in the 2 weeks before the survey | Horizontal bar chart | False | [["", "Liquids given(compared to\nusual)", "Food given 1(compared to\nusual)"], ["More", 27, 10], ["Same", 29, 30], ["Less", 44, 57], ["None", 1, 1], ["Never gave", 0, 1]] | Feeding practices during diarrhea | Percentage of children under age 5 with diarrhea in the 2 weeks before the survey | (Liquids given(compared tousual), More, 27) (Food given 1(compared tousual), More, 10) (Liquids given(compared tousual), Same, 29) (Food given 1(compared tousual), Same, 30) (Liquids given(compared tousual), Less, 44) (Food given 1(compared tousual), Less, 57) (Liquids given(compared tousual), None, 1) (Food given 1(compared tousual), None, 1) (Liquids given(compared tousual), Never gave, 0) (Food given 1(compared tousual), Never gave, 1) | [
"Only 27% of children with diarrhea in the 2 weeks before the survey were given more liquids than usual as recommended.",
"For most children with diarrhea, the amount of food given was also not optimal.",
"Only 40% of children with diarrhea in the 2 weeks before the survey were given the same amount or more than the usual amount to eat as recommended."
] | Only 27% of children with diarrhea in the 2 weeks before the survey were given more liquids than usual as recommended. |
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Dataset Card for GEM/TaTA
Link to Main Data Card
You can find the main data card on the GEM Website.
Dataset Summary
Existing data-to-text generation datasets are mostly limited to English. Table-to-Text in African languages (TaTA) addresses this lack of data as the first large multilingual table-to-text dataset with a focus on African languages. TaTA was created by transcribing figures and accompanying text in bilingual reports by the Demographic and Health Surveys Program, followed by professional translation to make the dataset fully parallel. TaTA includes 8,700 examples in nine languages including four African languages (Hausa, Igbo, Swahili, and Yorùbá) and a zero-shot test language (Russian).
You can load the dataset via:
import datasets
data = datasets.load_dataset('GEM/TaTA')
The data loader can be found here.
website
paper
authors
Sebastian Gehrmann, Sebastian Ruder , Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur Parikh, Clara Rivera
Dataset Overview
Where to find the Data and its Documentation
Webpage
Download
Paper
BibTex
@misc{gehrmann2022TaTA,
Author = {Sebastian Gehrmann and Sebastian Ruder and Vitaly Nikolaev and Jan A. Botha and Michael Chavinda and Ankur Parikh and Clara Rivera},
Title = {TaTa: A Multilingual Table-to-Text Dataset for African Languages},
Year = {2022},
Eprint = {arXiv:2211.00142},
}
Contact Name
Sebastian Ruder
Contact Email
Has a Leaderboard?
yes
Leaderboard Link
Leaderboard Details
The paper introduces a metric StATA which is trained on human ratings and which is used to rank approaches submitted to the leaderboard.
Languages and Intended Use
Multilingual?
yes
Covered Languages
English, Portuguese, Arabic, French, Hausa, Swahili (macrolanguage), Igbo, Yoruba, Russian
Whose Language?
The language is taken from reports by the demographic and health surveys program.
License
cc-by-sa-4.0: Creative Commons Attribution Share Alike 4.0 International
Intended Use
The dataset poses significant reasoning challenges and is thus meant as a way to asses the verbalization and reasoning capabilities of structure-to-text models.
Primary Task
Data-to-Text
Communicative Goal
Summarize key information from a table in a single sentence.
Credit
Curation Organization Type(s)
industry
Curation Organization(s)
Google Research
Dataset Creators
Sebastian Gehrmann, Sebastian Ruder , Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur Parikh, Clara Rivera
Funding
Google Research
Who added the Dataset to GEM?
Sebastian Gehrmann (Google Research)
Dataset Structure
Data Fields
example_id: The ID of the example. Each ID (e.g.,AB20-ar-1) consists of three parts: the document ID, the language ISO 639-1 code, and the index of the table within the document.title: The title of the table.unit_of_measure: A description of the numerical value of the data. E.g., percentage of households with clean water.chart_type: The kind of chart associated with the data. We consider the following (normalized) types: horizontal bar chart, map chart, pie graph, tables, line chart, pie chart, vertical chart type, line graph, vertical bar chart, and other.was_translated: Whether the table was transcribed in the original language of the report or translated.table_data: The table content is a JSON-encoded string of a two-dimensional list, organized by row, from left to right, starting from the top of the table. Number of items varies per table. Empty cells are given as empty string values in the corresponding table cell.table_text: The sentences forming the description of each table are encoded as a JSON object. In the case of more than one sentence, these are separated by commas. Number of items varies per table.linearized_input: A single string that contains the table content separated by vertical bars, i.e., |. Including title, unit of measurement, and the content of each cell including row and column headers in between brackets, i.e., (Medium Empowerment, Mali, 17.9).
Reason for Structure
The structure includes all available information for the infographics on which the dataset is based.
How were labels chosen?
Annotators looked through English text to identify sentences that describe an infographic. They then identified the corresponding location of the parallel non-English document. All sentences were extracted.
Example Instance
{
"example_id": "FR346-en-39",
"title": "Trends in early childhood mortality rates",
"unit_of_measure": "Deaths per 1,000 live births for the 5-year period before the survey",
"chart_type": "Line chart",
"was_translated": "False",
"table_data": "[[\"\", \"Child mortality\", \"Neonatal mortality\", \"Infant mortality\", \"Under-5 mortality\"], [\"1990 JPFHS\", 5, 21, 34, 39], [\"1997 JPFHS\", 6, 19, 29, 34], [\"2002 JPFHS\", 5, 16, 22, 27], [\"2007 JPFHS\", 2, 14, 19, 21], [\"2009 JPFHS\", 5, 15, 23, 28], [\"2012 JPFHS\", 4, 14, 17, 21], [\"2017-18 JPFHS\", 3, 11, 17, 19]]",
"table_text": [
"neonatal, infant, child, and under-5 mortality rates for the 5 years preceding each of seven JPFHS surveys (1990 to 2017-18).",
"Under-5 mortality declined by half over the period, from 39 to 19 deaths per 1,000 live births.",
"The decline in mortality was much greater between the 1990 and 2007 surveys than in the most recent period.",
"Between 2012 and 2017-18, under-5 mortality decreased only modestly, from 21 to 19 deaths per 1,000 live births, and infant mortality remained stable at 17 deaths per 1,000 births."
],
"linearized_input": "Trends in early childhood mortality rates | Deaths per 1,000 live births for the 5-year period before the survey | (Child mortality, 1990 JPFHS, 5) (Neonatal mortality, 1990 JPFHS, 21) (Infant mortality, 1990 JPFHS, 34) (Under-5 mortality, 1990 JPFHS, 39) (Child mortality, 1997 JPFHS, 6) (Neonatal mortality, 1997 JPFHS, 19) (Infant mortality, 1997 JPFHS, 29) (Under-5 mortality, 1997 JPFHS, 34) (Child mortality, 2002 JPFHS, 5) (Neonatal mortality, 2002 JPFHS, 16) (Infant mortality, 2002 JPFHS, 22) (Under-5 mortality, 2002 JPFHS, 27) (Child mortality, 2007 JPFHS, 2) (Neonatal mortality, 2007 JPFHS, 14) (Infant mortality, 2007 JPFHS, 19) (Under-5 mortality, 2007 JPFHS, 21) (Child mortality, 2009 JPFHS, 5) (Neonatal mortality, 2009 JPFHS, 15) (Infant mortality, 2009 JPFHS, 23) (Under-5 mortality, 2009 JPFHS, 28) (Child mortality, 2012 JPFHS, 4) (Neonatal mortality, 2012 JPFHS, 14) (Infant mortality, 2012 JPFHS, 17) (Under-5 mortality, 2012 JPFHS, 21) (Child mortality, 2017-18 JPFHS, 3) (Neonatal mortality, 2017-18 JPFHS, 11) (Infant mortality, 2017-18 JPFHS, 17) (Under-5 mortality, 2017-18 JPFHS, 19)"
}
Data Splits
Train: Training set, includes examples with 0 or more references.Validation: Validation set, includes examples with 3 or more references.Test: Test set, includes examples with 3 or more references.Ru: Russian zero-shot set. Includes English and Russian examples (Russian is not includes in any of the other splits).
Splitting Criteria
The same table across languages is always in the same split, i.e., if table X is in the test split in language A, it will also be in the test split in language B. In addition to filtering examples without transcribed table values, every example of the development and test splits has at least 3 references. From the examples that fulfilled these criteria, 100 tables were sampled for both development and test for a total of 800 examples each. A manual review process excluded a few tables in each set, resulting in a training set of 6,962 tables, a development set of 752 tables, and a test set of 763 tables.
There are tables without references, without values, and others that are very large. The dataset is distributed as-is, but the paper describes multiple strategies to deal with data issues.
Dataset in GEM
Rationale for Inclusion in GEM
Why is the Dataset in GEM?
There is no other multilingual data-to-text dataset that is parallel over languages. Moreover, over 70% of references in the dataset require reasoning and it is thus of very high quality and challenging for models.
Similar Datasets
yes
Unique Language Coverage
yes
Difference from other GEM datasets
More languages, parallel across languages, grounded in infographics, not centered on Western entities or source documents
Ability that the Dataset measures
reasoning, verbalization, content planning
GEM-Specific Curation
Modificatied for GEM?
no
Additional Splits?
no
Getting Started with the Task
Pointers to Resources
The background section of the paper provides a list of related datasets.
Technical Terms
data-to-text: Term that refers to NLP tasks in which the input is structured information and the output is natural language.
Previous Results
Previous Results
Metrics
Other: Other Metrics
Other Metrics
StATA: A new metric associated with TaTA that is trained on human judgments and which has a much higher correlation with them.
Proposed Evaluation
The creators used a human evaluation that measured attribution and reasoning capabilities of various models. Based on these ratings, they trained a new metric and showed that existing metrics fail to measure attribution.
Previous results available?
no
Dataset Curation
Original Curation
Original Curation Rationale
The curation rationale is to create a multilingual data-to-text dataset that is high-quality and challenging.
Communicative Goal
The communicative goal is to describe a table in a single sentence.
Sourced from Different Sources
no
Language Data
How was Language Data Obtained?
Found
Where was it found?
Single website
Language Producers
The language was produced by USAID as part of the Demographic and Health Surveys program (https://dhsprogram.com/).
Topics Covered
The topics are related to fertility, family planning, maternal and child health, gender, and nutrition.
Data Validation
validated by crowdworker
Was Data Filtered?
not filtered
Structured Annotations
Additional Annotations?
expert created
Number of Raters
11<n<50
Rater Qualifications
Professional annotator who is a fluent speaker of the respective language
Raters per Training Example
0
Raters per Test Example
1
Annotation Service?
yes
Which Annotation Service
other
Annotation Values
The additional annotations are for system outputs and references and serve to develop metrics for this task.
Any Quality Control?
validated by data curators
Quality Control Details
Ratings were compared to a small (English) expert-curated set of ratings to ensure high agreement. There were additional rounds of training and feedback to annotators to ensure high quality judgments.
Consent
Any Consent Policy?
yes
Other Consented Downstream Use
In addition to data-to-text generation, the dataset can be used for translation or multimodal research.
Private Identifying Information (PII)
Contains PII?
no PII
Justification for no PII
The DHS program only publishes aggregate survey information and thus, no personal information is included.
Maintenance
Any Maintenance Plan?
no
Broader Social Context
Previous Work on the Social Impact of the Dataset
Usage of Models based on the Data
no
Impact on Under-Served Communities
Addresses needs of underserved Communities?
yes
Details on how Dataset Addresses the Needs
The dataset is focusing on data about African countries and the languages included in the dataset are spoken in Africa. It aims to improve the representation of African languages in the NLP and NLG communities.
Discussion of Biases
Any Documented Social Biases?
no
Are the Language Producers Representative of the Language?
The language producers for this dataset are those employed by the DHS program which is a US-funded program. While the data is focused on African countries, there may be implicit western biases in how the data is presented.
Considerations for Using the Data
PII Risks and Liability
Licenses
Copyright Restrictions on the Dataset
open license - commercial use allowed
Copyright Restrictions on the Language Data
open license - commercial use allowed
Known Technical Limitations
Technical Limitations
While tables were transcribed in the available languages, the majority of the tables were published in English as the first language. Professional translators were used to translate the data, which makes it plausible that some translationese exists in the data. Moreover, it was unavoidable to collect reference sentences that are only partially entailed by the source tables.
Unsuited Applications
The domain of health reports includes potentially sensitive topics relating to reproduction, violence, sickness, and death. Perceived negative values could be used to amplify stereotypes about people from the respective regions or countries. The intended academic use of this dataset is to develop and evaluate models that neutrally report the content of these tables but not use the outputs to make value judgments, and these applications are thus discouraged.
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