EL ÍNDICE MUNDIAL #055
Mortalidad materna2023
Muertes maternas modeladas por 100.000 nacidos vivos.
Los 10 mejores
por 100.000 nacimientos · 2023Clasificación completa
Descargar CSV ↓| Rango | País/territorio | Valor (por 100.000 nacimientos) | Año |
|---|---|---|---|
| 01 | 993 | 2023 | |
| 02 | 748 | 2023 | |
| 03 | 692 | 2023 | |
| 03 | 692 | 2023 | |
| 05 | 628 | 2023 | |
| 06 | 563 | 2023 | |
| 07 | 521 | 2023 | |
| 08 | 518 | 2023 | |
| 09 | 505 | 2023 | |
| 10 | 494 | 2023 | |
| 11 | 478 | 2023 | |
| 12 | 445 | 2023 | |
| 13 | 427 | 2023 | |
| 14 | 392 | 2023 | |
| 15 | 381 | 2023 | |
| 16 | 367 | 2023 | |
| 17 | 359 | 2023 | |
| 18 | 358 | 2023 | |
| 19 | 354 | 2023 | |
| 19 | 354 | 2023 | |
| 21 | 350 | 2023 | |
| 22 | 349 | 2023 | |
| 23 | 328 | 2023 | |
| 24 | 291 | 2023 | |
| 25 | 276 | 2023 | |
| 26 | 273 | 2023 | |
| 27 | 258 | 2023 | |
| 28 | 256 | 2023 | |
| 29 | 242 | 2023 | |
| 30 | 241 | 2023 | |
| 31 | 237 | 2023 | |
| 32 | 234 | 2023 | |
| 33 | 233 | 2023 | |
| 34 | 229 | 2023 | |
| 35 | 227 | 2023 | |
| 36 | 225 | 2023 | |
| 37 | 195 | 2023 | |
| 38 | 192 | 2023 | |
| 39 | 189 | 2023 | |
| 40 | 185 | 2023 | |
| 41 | 183 | 2023 | |
| 42 | 179 | 2023 | |
| 43 | 174 | 2023 | |
| 44 | 170 | 2023 | |
| 44 | 170 | 2023 | |
| 46 | 162 | 2023 | |
| 47 | 155 | 2023 | |
| 47 | 155 | 2023 | |
| 47 | 155 | 2023 | |
| 50 | 149 | 2023 | |
| 51 | 146 | 2023 | |
| 52 | 142 | 2023 | |
| 53 | 140 | 2023 | |
| 54 | 139 | 2023 | |
| 55 | 137 | 2023 | |
| 56 | 130 | 2023 | |
| 57 | 129 | 2023 | |
| 58 | 124 | 2023 | |
| 59 | 123 | 2023 | |
| 60 | 118 | 2023 | |
| 60 | 118 | 2023 | |
| 60 | 118 | 2023 | |
| 63 | 115 | 2023 | |
| 64 | 112 | 2023 | |
| 65 | 101 | 2023 | |
| 66 | 100 | 2023 | |
| 67 | 99 | 2023 | |
| 68 | 94 | 2023 | |
| 69 | 89 | 2023 | |
| 70 | 85 | 2023 | |
| 71 | 84 | 2023 | |
| 71 | 84 | 2023 | |
| 73 | 80 | 2023 | |
| 73 | 80 | 2023 | |
| 75 | 76 | 2023 | |
| 76 | 75 | 2023 | |
| 76 | 75 | 2023 | |
| 78 | 74 | 2023 | |
| 79 | 70 | 2023 | |
| 80 | 67 | 2023 | |
| 80 | 67 | 2023 | |
| 80 | 67 | 2023 | |
| 80 | 67 | 2023 | |
| 84 | 66 | 2023 | |
| 84 | 66 | 2023 | |
| 86 | 62 | 2023 | |
| 87 | 60 | 2023 | |
| 88 | 59 | 2023 | |
| 88 | 59 | 2023 | |
| 90 | 58 | 2023 | |
| 91 | 56 | 2023 | |
| 92 | 55 | 2023 | |
| 93 | 54 | 2023 | |
| 94 | 51 | 2023 | |
| 95 | 48 | 2023 | |
| 95 | 48 | 2023 | |
| 97 | 47 | 2023 | |
| 97 | 47 | 2023 | |
| 99 | 44 | 2023 | |
| 100 | 42 | 2023 | |
| 100 | 42 | 2023 | |
| 100 | 42 | 2023 | |
| 103 | 41 | 2023 | |
| 104 | 40 | 2023 | |
| 105 | 39 | 2023 | |
| 106 | 37 | 2023 | |
| 107 | 36 | 2023 | |
| 107 | 36 | 2023 | |
| 107 | 36 | 2023 | |
| 110 | 35 | 2023 | |
| 110 | 35 | 2023 | |
| 110 | 35 | 2023 | |
| 113 | 34 | 2023 | |
| 114 | 33 | 2023 | |
| 115 | 32 | 2023 | |
| 116 | 31 | 2023 | |
| 117 | 30 | 2023 | |
| 118 | 26 | 2023 | |
| 118 | 26 | 2023 | |
| 120 | 24 | 2023 | |
| 121 | 20 | 2023 | |
| 121 | 20 | 2023 | |
| 123 | 19 | 2023 | |
| 123 | 19 | 2023 | |
| 123 | 19 | 2023 | |
| 126 | 18 | 2023 | |
| 126 | 18 | 2023 | |
| 128 | 17 | 2023 | |
| 128 | 17 | 2023 | |
| 128 | 17 | 2023 | |
| 131 | 16 | 2023 | |
| 131 | 16 | 2023 | |
| 131 | 16 | 2023 | |
| 134 | 15 | 2023 | |
| 134 | 15 | 2023 | |
| 134 | 15 | 2023 | |
| 134 | 15 | 2023 | |
| 134 | 15 | 2023 | |
| 139 | 14 | 2023 | |
| 139 | 14 | 2023 | |
| 141 | 13 | 2023 | |
| 142 | 12 | 2023 | |
| 142 | 12 | 2023 | |
| 142 | 12 | 2023 | |
| 145 | 11 | 2023 | |
| 145 | 11 | 2023 | |
| 145 | 11 | 2023 | |
| 145 | 11 | 2023 | |
| 149 | 10 | 2023 | |
| 149 | 10 | 2023 | |
| 151 | 9 | 2023 | |
| 152 | 8 | 2023 | |
| 152 | 8 | 2023 | |
| 152 | 8 | 2023 | |
| 152 | 8 | 2023 | |
| 152 | 8 | 2023 | |
| 152 | 8 | 2023 | |
| 158 | 7 | 2023 | |
| 158 | 7 | 2023 | |
| 158 | 7 | 2023 | |
| 158 | 7 | 2023 | |
| 162 | 6 | 2023 | |
| 162 | 6 | 2023 | |
| 162 | 6 | 2023 | |
| 162 | 6 | 2023 | |
| 162 | 6 | 2023 | |
| 162 | 6 | 2023 | |
| 168 | 5 | 2023 | |
| 168 | 5 | 2023 | |
| 168 | 5 | 2023 | |
| 168 | 5 | 2023 | |
| 168 | 5 | 2023 | |
| 173 | 4 | 2023 | |
| 173 | 4 | 2023 | |
| 173 | 4 | 2023 | |
| 173 | 4 | 2023 | |
| 173 | 4 | 2023 | |
| 173 | 4 | 2023 | |
| 173 | 4 | 2023 | |
| 173 | 4 | 2023 | |
| 173 | 4 | 2023 | |
| 182 | 3 | 2023 | |
| 182 | 3 | 2023 | |
| 182 | 3 | 2023 | |
| 182 | 3 | 2023 | |
| 182 | 3 | 2023 | |
| 182 | 3 | 2023 | |
| 182 | 3 | 2023 | |
| 182 | 3 | 2023 | |
| 190 | 2 | 2023 | |
| 190 | 2 | 2023 | |
| 190 | 2 | 2023 | |
| 193 | 1 | 2023 | |
| 193 | 1 | 2023 |
No hay países coincidentes.
Cómo funciona este ranking
Para las estadísticas anuales, el valor predeterminado es el año más reciente que cubre al menos el 70 % de la cobertura máxima de países disponible y al menos 20 economías cuando sea posible. Un ranking utiliza un año o edición de informe; las observaciones faltantes no se reemplazan con otro año. Se pueden seleccionar años más nuevos con menor cobertura.
Las tasas de homicidio intencional y las puntuaciones de paz se clasifican de menor a mayor; otros indicadores se clasifican de mayor a menor. Las clasificaciones utilizan valores originales y clasificación de competencia para empates, por ejemplo 1, 2, 2, 4. Filtrar o cambiar el orden de visualización no vuelve a calcular las clasificaciones globales. Los valores más altos no son necesariamente mejores.
Las estadísticas reflejan la instantánea de la fuente pública, no mediciones en vivo. Algunas series son estimaciones modeladas o promedios multianuales. Ver metadatos originales.
Ninguna observación (23)
Aruba · Bermudas · Curazao · Gibraltar · Groenlandia · Guam · Isla de Man · Islas Caimán · Islas Feroe · Islas Marianas del Norte · Islas Turcas y Caicos · Islas Vírgenes Británicas · Islas Vírgenes de EE. UU. · Islas del Canal · Kosovo · Liechtenstein · Nueva Caledonia · Polinesia Francesa · RAE de Hong Kong (China) · RAE de Macao (China) · Samoa Americana · San Martín · Sint Maarten
Fuente y definición
- Definición del indicador
- Muertes maternas modeladas por 100.000 nacidos vivos.
- Unidad
- por 100.000 nacimientos
- Fuente y definición
- World Bank ·
SH.STA.MMRT
Metadatos originales
Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).
{
"id": "SH.STA.MMRT",
"name": "Maternal mortality ratio (modeled estimate, per 100,000 live births)",
"unit": "",
"source": {
"id": "2",
"value": "World Development Indicators"
},
"sourceNote": "Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).",
"sourceOrganization": "Trends in Maternal Mortality, World Health Organization (WHO), uri: https://www.who.int/news/item/23-02-2023-a-woman-dies-every-two-minutes-due-to-pregnancy-or-childbirth--un-agencies;\nUN Children's Fund (UNICEF), note: Trends in Maternal Mortality;\nUN Population Fund (UNFPA), note: Trends in Maternal Mortality;\nWorld Bank Group (WBG), note: Trends in Maternal Mortality",
"topics": [
{
"id": "8",
"value": "Health "
},
{
"id": "17",
"value": "Gender"
},
{
"id": "2",
"value": "Aid Effectiveness "
}
]
}