{ "aggregates": { "component": { "NATIONAL": { "aggregate": true } } }, "default_view": { "component": "NATIONAL", "frequency": "A", "measure": "VALUE" }, "description": { "en": "**Average number of children a woman would have over her lifetime at current\nage-specific fertility rates, from the Haiti EMMUS surveys**\n(DHS Program / MSPP). Survey years: 1994, 2000, 2006, 2012, 2016.\n\n**STALENESS WARNING: The most recent estimate is from the 2016-17 EMMUS\nsurvey (approximately 9 years old).** Values should be labelled\n\"EMMUS 2016-17 estimate\".\n\nEstimated for the 3 years preceding the survey using age-specific fertility\nrates for women aged 15-49. Subnational estimates show large urban-rural\ngradients across Haiti's departments. National rows across all 5 surveys\ndocument Haiti's fertility transition.\n" }, "dim_labels": { "area_type": { "en": "Geographic coverage" }, "component": { "en": "DHS/EMMUS Haiti Survey Regions" }, "measure": { "en": "WHO Health Indicator Measures" } }, "document_series": [], "domain": "context", "downloadable": true, "facets": { "adjustment": [ "NSA" ], "area_type": [ "NATIONAL", "SUBNATIONAL" ], "component": [ "DHS_ARTIBONITE", "DHS_CENTRE", "DHS_GRANDE_ANSE", "DHS_METRO", "DHS_NIPPES", "DHS_NORTH", "DHS_NORTH_EAST", "DHS_NORTH_WEST", "DHS_REST_WEST", "DHS_SOUTH", "DHS_SOUTH_EAST", "NATIONAL" ], "frequency": [ "A" ], "measure": [ "VALUE" ] }, "indicator_id": "total_fertility_rate_dhs", "labels": { "area_type": { "NATIONAL": { "description": "Country-wide total.", "en": "National", "fr": "National", "ht": "Nasyonal" }, "SUBNATIONAL": { "description": "Department- or region-level detail below the national total.", "en": "Subnational", "fr": "Infranational", "ht": "Enfranasyonal" } }, "component": { "DHS_ARTIBONITE": { "description": "Artibonite department (CharacteristicId 412006; corresponds to HT05).", "description_fr": "D\u00e9partement de l'Artibonite (correspond \u00e0 HT05).", "description_ht": "Depatman Latibonit (koresponn ak HT05).", "en": "Artibonite", "fr": "Artibonite", "ht": "Latibonit" }, "DHS_CENTRE": { "description": "Centre department (CharacteristicId 412007; corresponds to HT06).", "description_fr": "D\u00e9partement du Centre (correspond \u00e0 HT06).", "description_ht": "Depatman Sant (koresponn ak HT06).", "en": "Centre", "fr": "Centre", "ht": "Sant" }, "DHS_GRANDE_ANSE": { "description": "Grande-Anse department (CharacteristicId 412010; corresponds to HT08).", "description_fr": "D\u00e9partement de la Grande-Anse (correspond \u00e0 HT08).", "description_ht": "Depatman Grandans (koresponn ak HT08).", "en": "Grande-Anse", "fr": "Grande-Anse", "ht": "Grandans" }, "DHS_METRO": { "description": "Port-au-Prince metropolitan area; subset of the Ouest department (CharacteristicId 412001).", "description_fr": "Zone m\u00e9tropolitaine de Port-au-Prince; sous-ensemble du d\u00e9partement de l'Ouest.", "description_ht": "Z\u00f2n metwopolit\u00e8n P\u00f2toprens; sou-ansanm depatman Lw\u00e8s la.", "en": "Metropolitan area (Ouest)", "fr": "Zone m\u00e9tropolitaine (Ouest)", "ht": "Z\u00f2n metwopolit\u00e8n (Lw\u00e8s)" }, "DHS_NIPPES": { "description": "Nippes department (CharacteristicId 412011; corresponds to HT10).", "description_fr": "D\u00e9partement des Nippes (correspond \u00e0 HT10).", "description_ht": "Depatman Nip (koresponn ak HT10).", "en": "Nippes", "fr": "Nippes", "ht": "Nip" }, "DHS_NORTH": { "description": "Nord department (CharacteristicId 412004; corresponds to HT03).", "description_fr": "D\u00e9partement du Nord (correspond \u00e0 HT03).", "description_ht": "Depatman N\u00f2 (koresponn ak HT03).", "en": "North (Nord)", "fr": "Nord", "ht": "N\u00f2" }, "DHS_NORTH_EAST": { "description": "Nord-Est department (CharacteristicId 412005; corresponds to HT04).", "description_fr": "D\u00e9partement du Nord-Est (correspond \u00e0 HT04).", "description_ht": "Depatman N\u00f2d\u00e8s (koresponn ak HT04).", "en": "North-East (Nord-Est)", "fr": "Nord-Est", "ht": "N\u00f2d\u00e8s" }, "DHS_NORTH_WEST": { "description": "Nord-Ouest department (CharacteristicId 412012; corresponds to HT09).", "description_fr": "D\u00e9partement du Nord-Ouest (correspond \u00e0 HT09).", "description_ht": "Depatman N\u00f2dw\u00e8s (koresponn ak HT09).", "en": "North-West (Nord-Ouest)", "fr": "Nord-Ouest", "ht": "N\u00f2dw\u00e8s" }, "DHS_REST_WEST": { "description": "Ouest department outside the Port-au-Prince metro area (CharacteristicId 412002).", "description_fr": "D\u00e9partement de l'Ouest hors zone m\u00e9tropolitaine de Port-au-Prince.", "description_ht": "Depatman Lw\u00e8s andey\u00f2 z\u00f2n metwopolit\u00e8n P\u00f2toprens.", "en": "Rest of West", "fr": "Reste de l'Ouest", "ht": "R\u00e8s Lw\u00e8s" }, "DHS_SOUTH": { "description": "Sud department (CharacteristicId 412008; corresponds to HT07).", "description_fr": "D\u00e9partement du Sud (correspond \u00e0 HT07).", "description_ht": "Depatman Sid (koresponn ak HT07).", "en": "South (Sud)", "fr": "Sud", "ht": "Sid" }, "DHS_SOUTH_EAST": { "description": "Sud-Est department (CharacteristicId 412003; corresponds to HT02).", "description_fr": "D\u00e9partement du Sud-Est (correspond \u00e0 HT02).", "description_ht": "Depatman Sid\u00e8s (koresponn ak HT02).", "en": "South-East (Sud-Est)", "fr": "Sud-Est", "ht": "Sid\u00e8s" }, "NATIONAL": { "description": "Haiti national total across all 12 survey regions.", "description_fr": "Total national Ha\u00efti sur les 12 r\u00e9gions d'enqu\u00eate.", "description_ht": "Total nasyonal Ayiti nan tout 12 rejyon sondaj yo.", "en": "National (Haiti total)", "fr": "National (total Ha\u00efti)", "ht": "Nasyonal (total Ayiti)" } }, "frequency": { "A": { "en": "Annual", "fr": "Annuel", "ht": "Chak ane" } }, "measure": { "VALUE": { "description": "The authoritative numeric value as published by the WHO GHO. Units vary by indicator: years for life expectancy; deaths per 1,000 live births for mortality rates; percent for immunization coverage and stunting; index 0-100 for the UHC service coverage index.\n", "description_fr": "La valeur num\u00e9rique faisant autorit\u00e9 telle que publi\u00e9e par l'OMS GHO. Les unit\u00e9s varient selon l'indicateur.\n", "description_ht": "Val\u00e8 nimerik otorizasyon jan OMS GHO pibliye li. Inite yo varye selon endikasyon an.\n", "en": "Observed value", "fr": "Valeur observ\u00e9e", "ht": "Val\u00e8 obs\u00e8ve" } } }, "name": { "en": "Total fertility rate (DHS/EMMUS, subnational)", "fr": "Indice synth\u00e9tique de f\u00e9condit\u00e9 (EMMUS, sous-national)", "ht": "Endis sent\u00e8z fekonditr (EMMUS, sub-nasyonal)" }, "observations": [ { "area_type": "SUBNATIONAL", "component": "DHS_METRO", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region Metropolitan area. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 2.0, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_REST_WEST", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region Rest of West. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 3.7, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_SOUTH_EAST", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region South-East. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 3.4, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_NORTH", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region North. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 3.0, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_NORTH_EAST", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region North-East. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 3.6, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_ARTIBONITE", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region Artibonite. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 3.2, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_CENTRE", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region Centre. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 4.2, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_SOUTH", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region South. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 3.1, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_GRANDE_ANSE", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region ..Grande-Anse. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 4.0, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_NIPPES", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region ..Nippes. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 2.7, "vintage_date": "2026-06-30" }, { "area_type": "SUBNATIONAL", "component": "DHS_NORTH_WEST", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; DHS region North-West. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 3.4, "vintage_date": "2026-06-30" }, { "area_type": "NATIONAL", "component": "NATIONAL", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 1994-95; national total. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "1994", "source_id": "dhs_emmus", "status": "observed", "value": 4.8, "vintage_date": "2026-06-30" }, { "area_type": "NATIONAL", "component": "NATIONAL", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2000; national total. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2000", "source_id": "dhs_emmus", "status": "observed", "value": 4.7, "vintage_date": "2026-06-30" }, { "area_type": "NATIONAL", "component": "NATIONAL", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2005-06; national total. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2006", "source_id": "dhs_emmus", "status": "observed", "value": 3.9, "vintage_date": "2026-06-30" }, { "area_type": "NATIONAL", "component": "NATIONAL", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2012; national total. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2012", "source_id": "dhs_emmus", "status": "observed", "value": 3.5, "vintage_date": "2026-06-30" }, { "area_type": "NATIONAL", "component": "NATIONAL", "frequency": "A", "measure": "VALUE", "notes": "EMMUS survey 2016-17; national total. DHS/EMMUS 2016-17 survey estimate. Latest available survey is approximately 9 years old; do not interpret as current conditions.", "period": "2016", "source_id": "dhs_emmus", "status": "observed", "value": 3.0, "vintage_date": "2026-06-30" } ], "sector": "health", "sectors": [ "HX" ], "source": { "document_series": [], "format": "api", "frequency_published": "biennial", "id": "dhs_emmus", "license": "DHS Program data are freely available for non-commercial research and analysis with registration at https://dhsprogram.com/data/. Attribution required: \"Source: DHS Program, Haiti EMMUS [year] survey.\" See https://dhsprogram.com/data/terms-of-use.cfm", "methodology_note": "## Haiti EMMUS surveys (DHS Program)\n\nHaiti's Enqu\u00eate Mortalit\u00e9, Morbidit\u00e9 et Utilisation des Services is run by the Minist\u00e8re de\nla Sant\u00e9 Publique et de la Population with technical support from the USAID-funded DHS\nProgram. Five nationally representative rounds have been completed: 1994-95, 2000, 2005-06,\n2012 and 2016-17. Each uses a stratified two-stage cluster sample of roughly 14,000 to 18,000\nhouseholds.\n\n**Read every value as 2016-17.** The last round was fielded nine years before this page was\nbuilt. The security collapse since 2018, the 2021 earthquake and the pandemic all fall after\nthe fieldwork, so current maternal and child health conditions may differ substantially from\nwhat these numbers show. Cite them with their vintage, and do not read a 2016 survey estimate\nas a current one.\n\n**Where EMMUS is irreplaceable.** WHO's Global Health Observatory carries more recent modelled\nestimates of child mortality and stunting, but only at national level. EMMUS is the only\nsource of department-level figures for these measures, and the only direct survey measurement\nbehind them rather than a model.\n\nMortality and fertility rates are estimated from the birth histories collected at interview,\nso each refers to a window before the survey date (ten years for child mortality, three for\nfertility, five for skilled birth attendance) rather than to the survey year itself.\n\n**Subnational geography.** The survey reports 12 regional strata rather than Haiti's 10\ndepartments: Ouest is split between the Port-au-Prince metropolitan area and the rest of the\ndepartment, and Grande-Anse and Nippes are sometimes combined. Departments are used where the\nmapping is unambiguous.\n\nAttribution: Haiti EMMUS, MSPP and the DHS Program.\n\n\nTotal fertility rate (TFR) from the Haiti EMMUS Demographic and Health Surveys,\nestimated for the 3 years preceding each survey using age-specific fertility rates\nfor women aged 15-49. The TFR represents the average number of children a woman\nwould have over her lifetime at current age-specific rates. Survey years: 1994-95,\n2000, 2005-06, 2012, 2016-17. Subnational estimates are for 12 DHS survey strata.\n\nThis indicator documents Haiti's fertility transition over five survey rounds (1994-2016)\nand its departmental variation. No overlapping modelled subnational series exists at\nthis geographic resolution.\n\nDHS API indicator: FE_FRTR_W_TFR. Component codelist: dhs_region (NATIONAL plus\n11 subnational DHS strata).\n\nSTALENESS: Most recent estimate from the 2016-17 EMMUS survey (approximately 9 years\nbefore publication). Label as \"EMMUS 2016-17 survey estimate\". Attribution: Haiti EMMUS\n2016-17, MSPP/DHS Program. License: DHS non-commercial research terms.", "name": "DHS Program, Haiti EMMUS Surveys", "name_localized": { "en": "DHS Program, Haiti EMMUS Surveys", "fr": "DHS Programme, Enqu\u00eates EMMUS Ha\u00efti", "ht": "Pwogram DHS, Sondaj EMMUS Ayiti" }, "provider": { "full": "USAID Demographic and Health Surveys Program", "short": "DHS", "type": "international_organization" }, "url": "https://www.dhsprogram.com/data/dataset/Haiti_Standard-DHS_2017.cfm" }, "sources": { "dhs_emmus": { "document_series": [], "format": "api", "frequency_published": "biennial", "id": "dhs_emmus", "license": "DHS Program data are freely available for non-commercial research and analysis with registration at https://dhsprogram.com/data/. Attribution required: \"Source: DHS Program, Haiti EMMUS [year] survey.\" See https://dhsprogram.com/data/terms-of-use.cfm", "methodology_note": "## Haiti EMMUS surveys (DHS Program)\n\nHaiti's Enqu\u00eate Mortalit\u00e9, Morbidit\u00e9 et Utilisation des Services is run by the Minist\u00e8re de\nla Sant\u00e9 Publique et de la Population with technical support from the USAID-funded DHS\nProgram. Five nationally representative rounds have been completed: 1994-95, 2000, 2005-06,\n2012 and 2016-17. Each uses a stratified two-stage cluster sample of roughly 14,000 to 18,000\nhouseholds.\n\n**Read every value as 2016-17.** The last round was fielded nine years before this page was\nbuilt. The security collapse since 2018, the 2021 earthquake and the pandemic all fall after\nthe fieldwork, so current maternal and child health conditions may differ substantially from\nwhat these numbers show. Cite them with their vintage, and do not read a 2016 survey estimate\nas a current one.\n\n**Where EMMUS is irreplaceable.** WHO's Global Health Observatory carries more recent modelled\nestimates of child mortality and stunting, but only at national level. EMMUS is the only\nsource of department-level figures for these measures, and the only direct survey measurement\nbehind them rather than a model.\n\nMortality and fertility rates are estimated from the birth histories collected at interview,\nso each refers to a window before the survey date (ten years for child mortality, three for\nfertility, five for skilled birth attendance) rather than to the survey year itself.\n\n**Subnational geography.** The survey reports 12 regional strata rather than Haiti's 10\ndepartments: Ouest is split between the Port-au-Prince metropolitan area and the rest of the\ndepartment, and Grande-Anse and Nippes are sometimes combined. Departments are used where the\nmapping is unambiguous.\n\nAttribution: Haiti EMMUS, MSPP and the DHS Program.\n\n\nTotal fertility rate (TFR) from the Haiti EMMUS Demographic and Health Surveys,\nestimated for the 3 years preceding each survey using age-specific fertility rates\nfor women aged 15-49. The TFR represents the average number of children a woman\nwould have over her lifetime at current age-specific rates. Survey years: 1994-95,\n2000, 2005-06, 2012, 2016-17. Subnational estimates are for 12 DHS survey strata.\n\nThis indicator documents Haiti's fertility transition over five survey rounds (1994-2016)\nand its departmental variation. No overlapping modelled subnational series exists at\nthis geographic resolution.\n\nDHS API indicator: FE_FRTR_W_TFR. Component codelist: dhs_region (NATIONAL plus\n11 subnational DHS strata).\n\nSTALENESS: Most recent estimate from the 2016-17 EMMUS survey (approximately 9 years\nbefore publication). Label as \"EMMUS 2016-17 survey estimate\". Attribution: Haiti EMMUS\n2016-17, MSPP/DHS Program. License: DHS non-commercial research terms.", "name": "DHS Program, Haiti EMMUS Surveys", "name_localized": { "en": "DHS Program, Haiti EMMUS Surveys", "fr": "DHS Programme, Enqu\u00eates EMMUS Ha\u00efti", "ht": "Pwogram DHS, Sondaj EMMUS Ayiti" }, "provider": { "full": "USAID Demographic and Health Surveys Program", "short": "DHS", "type": "international_organization" }, "url": "https://www.dhsprogram.com/data/dataset/Haiti_Standard-DHS_2017.cfm" } }, "units": { "VALUE": "Children per woman" }, "views": [ { "chart_type": "ranked_bar", "default": true, "description": { "en": "Total fertility rate by DHS survey region, EMMUS 2016-17. Values approximately 9 years old.", "fr": "Indice synth\u00e9tique de f\u00e9condit\u00e9 par r\u00e9gion d'enqu\u00eate DHS, EMMUS 2016-17.", "ht": "Endis sent\u00e8z fekonditr pa rejyon sondaj DHS, EMMUS 2016-17." }, "filters": { "area_type": "SUBNATIONAL", "component": [ "DHS_ARTIBONITE", "DHS_CENTRE", "DHS_GRANDE_ANSE", "DHS_METRO", "DHS_NIPPES", "DHS_NORTH", "DHS_NORTH_EAST", "DHS_NORTH_WEST", "DHS_REST_WEST", "DHS_SOUTH", "DHS_SOUTH_EAST" ], "measure": "VALUE", "source_id": "dhs_emmus" }, "id": "by_region", "name": { "en": "Total fertility rate by department (EMMUS 2016-17)", "fr": "Indice synth\u00e9tique de f\u00e9condit\u00e9 par d\u00e9partement (EMMUS 2016-17)", "ht": "Endis sent\u00e8z fekonditr pa depatman (EMMUS 2016-17)" } }, { "chart_type": "line", "default": false, "description": { "en": "Haiti national total fertility rate from five EMMUS surveys (1994-2016). Latest vintage is 2016-17.", "fr": "Indice synth\u00e9tique de f\u00e9condit\u00e9 national en Ha\u00efti, cinq enqu\u00eates EMMUS (1994-2016).", "ht": "Endis sent\u00e8z fekonditr nasyonal nan Ayiti, senk sondaj EMMUS (1994-2016)." }, "filters": { "component": "NATIONAL", "measure": "VALUE", "source_id": "dhs_emmus" }, "id": "national_trend", "name": { "en": "National fertility trend across EMMUS surveys", "fr": "Tendance nationale de la f\u00e9condit\u00e9 sur les enqu\u00eates EMMUS", "ht": "Tandans fekonditr nasyonal nan sondaj EMMUS yo" } } ], "vintages": [ "2026-06-30" ] }