WSKAŹNIK GLOBALNY #055
Śmiertelność matek2019
Modelowane zgony matek na 100 000 żywych urodzeń.
Top 10
na 100 000 urodzeń · 2019Pełny ranking
Pobierz plik CSV ↓| Ranga | Kraj/terytorium | Wartość (na 100 000 urodzeń) | Rok |
|---|---|---|---|
| 01 | 1 650 | 2019 | |
| 02 | 1 091 | 2019 | |
| 03 | 958 | 2019 | |
| 04 | 745 | 2019 | |
| 05 | 689 | 2019 | |
| 06 | 656 | 2019 | |
| 07 | 601 | 2019 | |
| 08 | 598 | 2019 | |
| 09 | 572 | 2019 | |
| 10 | 548 | 2019 | |
| 11 | 493 | 2019 | |
| 12 | 467 | 2019 | |
| 13 | 464 | 2019 | |
| 14 | 462 | 2019 | |
| 15 | 449 | 2019 | |
| 16 | 429 | 2019 | |
| 17 | 424 | 2019 | |
| 18 | 422 | 2019 | |
| 19 | 416 | 2019 | |
| 19 | 416 | 2019 | |
| 21 | 406 | 2019 | |
| 22 | 388 | 2019 | |
| 23 | 351 | 2019 | |
| 23 | 351 | 2019 | |
| 25 | 336 | 2019 | |
| 26 | 292 | 2019 | |
| 27 | 286 | 2019 | |
| 28 | 274 | 2019 | |
| 29 | 269 | 2019 | |
| 30 | 267 | 2019 | |
| 31 | 262 | 2019 | |
| 32 | 261 | 2019 | |
| 33 | 260 | 2019 | |
| 33 | 260 | 2019 | |
| 35 | 245 | 2019 | |
| 36 | 237 | 2019 | |
| 37 | 219 | 2019 | |
| 38 | 202 | 2019 | |
| 38 | 202 | 2019 | |
| 38 | 202 | 2019 | |
| 41 | 199 | 2019 | |
| 42 | 198 | 2019 | |
| 43 | 195 | 2019 | |
| 44 | 194 | 2019 | |
| 45 | 179 | 2019 | |
| 46 | 176 | 2019 | |
| 47 | 175 | 2019 | |
| 48 | 173 | 2019 | |
| 49 | 170 | 2019 | |
| 50 | 168 | 2019 | |
| 51 | 161 | 2019 | |
| 52 | 157 | 2019 | |
| 53 | 156 | 2019 | |
| 54 | 155 | 2019 | |
| 55 | 154 | 2019 | |
| 56 | 149 | 2019 | |
| 57 | 137 | 2019 | |
| 58 | 135 | 2019 | |
| 59 | 134 | 2019 | |
| 60 | 131 | 2019 | |
| 61 | 120 | 2019 | |
| 62 | 119 | 2019 | |
| 63 | 118 | 2019 | |
| 64 | 111 | 2019 | |
| 65 | 107 | 2019 | |
| 66 | 106 | 2019 | |
| 67 | 105 | 2019 | |
| 68 | 103 | 2019 | |
| 69 | 101 | 2019 | |
| 70 | 100 | 2019 | |
| 71 | 97 | 2019 | |
| 72 | 96 | 2019 | |
| 73 | 95 | 2019 | |
| 74 | 92 | 2019 | |
| 75 | 89 | 2019 | |
| 76 | 84 | 2019 | |
| 77 | 82 | 2019 | |
| 78 | 79 | 2019 | |
| 79 | 74 | 2019 | |
| 79 | 74 | 2019 | |
| 81 | 73 | 2019 | |
| 81 | 73 | 2019 | |
| 83 | 69 | 2019 | |
| 84 | 67 | 2019 | |
| 85 | 66 | 2019 | |
| 85 | 66 | 2019 | |
| 87 | 65 | 2019 | |
| 87 | 65 | 2019 | |
| 89 | 62 | 2019 | |
| 90 | 61 | 2019 | |
| 91 | 60 | 2019 | |
| 92 | 58 | 2019 | |
| 92 | 58 | 2019 | |
| 94 | 53 | 2019 | |
| 95 | 52 | 2019 | |
| 95 | 52 | 2019 | |
| 97 | 51 | 2019 | |
| 98 | 48 | 2019 | |
| 98 | 48 | 2019 | |
| 100 | 47 | 2019 | |
| 101 | 45 | 2019 | |
| 102 | 43 | 2019 | |
| 102 | 43 | 2019 | |
| 104 | 41 | 2019 | |
| 104 | 41 | 2019 | |
| 104 | 41 | 2019 | |
| 107 | 40 | 2019 | |
| 107 | 40 | 2019 | |
| 109 | 39 | 2019 | |
| 110 | 38 | 2019 | |
| 111 | 37 | 2019 | |
| 112 | 36 | 2019 | |
| 112 | 36 | 2019 | |
| 114 | 35 | 2019 | |
| 115 | 34 | 2019 | |
| 115 | 34 | 2019 | |
| 117 | 32 | 2019 | |
| 118 | 29 | 2019 | |
| 119 | 28 | 2019 | |
| 120 | 26 | 2019 | |
| 121 | 24 | 2019 | |
| 122 | 23 | 2019 | |
| 123 | 22 | 2019 | |
| 123 | 22 | 2019 | |
| 125 | 21 | 2019 | |
| 125 | 21 | 2019 | |
| 125 | 21 | 2019 | |
| 128 | 20 | 2019 | |
| 129 | 19 | 2019 | |
| 130 | 18 | 2019 | |
| 130 | 18 | 2019 | |
| 130 | 18 | 2019 | |
| 133 | 17 | 2019 | |
| 133 | 17 | 2019 | |
| 135 | 16 | 2019 | |
| 135 | 16 | 2019 | |
| 135 | 16 | 2019 | |
| 138 | 15 | 2019 | |
| 138 | 15 | 2019 | |
| 140 | 14 | 2019 | |
| 140 | 14 | 2019 | |
| 142 | 13 | 2019 | |
| 142 | 13 | 2019 | |
| 142 | 13 | 2019 | |
| 145 | 12 | 2019 | |
| 145 | 12 | 2019 | |
| 145 | 12 | 2019 | |
| 145 | 12 | 2019 | |
| 149 | 11 | 2019 | |
| 149 | 11 | 2019 | |
| 149 | 11 | 2019 | |
| 152 | 9 | 2019 | |
| 152 | 9 | 2019 | |
| 154 | 8 | 2019 | |
| 154 | 8 | 2019 | |
| 154 | 8 | 2019 | |
| 154 | 8 | 2019 | |
| 154 | 8 | 2019 | |
| 159 | 7 | 2019 | |
| 159 | 7 | 2019 | |
| 159 | 7 | 2019 | |
| 159 | 7 | 2019 | |
| 159 | 7 | 2019 | |
| 159 | 7 | 2019 | |
| 165 | 6 | 2019 | |
| 165 | 6 | 2019 | |
| 165 | 6 | 2019 | |
| 165 | 6 | 2019 | |
| 165 | 6 | 2019 | |
| 165 | 6 | 2019 | |
| 171 | 5 | 2019 | |
| 171 | 5 | 2019 | |
| 171 | 5 | 2019 | |
| 171 | 5 | 2019 | |
| 171 | 5 | 2019 | |
| 171 | 5 | 2019 | |
| 171 | 5 | 2019 | |
| 171 | 5 | 2019 | |
| 179 | 4 | 2019 | |
| 179 | 4 | 2019 | |
| 179 | 4 | 2019 | |
| 179 | 4 | 2019 | |
| 179 | 4 | 2019 | |
| 179 | 4 | 2019 | |
| 179 | 4 | 2019 | |
| 179 | 4 | 2019 | |
| 187 | 3 | 2019 | |
| 187 | 3 | 2019 | |
| 187 | 3 | 2019 | |
| 187 | 3 | 2019 | |
| 187 | 3 | 2019 | |
| 192 | 2 | 2019 | |
| 192 | 2 | 2019 | |
| 194 | 1 | 2019 |
Brak pasujących krajów.
Jak działa ten ranking
W przypadku statystyk rocznych domyślnym jest najnowszy rok obejmujący co najmniej 70% maksymalnego dostępnego zasięgu kraju i co najmniej 20 gospodarek, jeśli to możliwe. W rankingu wykorzystuje się jeden rok lub edycję raportu; brakujących obserwacji nie zastępuje się kolejnym rokiem. Można wybrać nowsze lata z niższym zakresem ubezpieczenia.
Wskaźniki umyślnych zabójstw i wyniki pokojowe plasują się od najniższego do najwyższego; inne wskaźniki są uszeregowane od najwyższego do najniższego. Rangi wykorzystują oryginalne wartości i ranking zawodów dla remisów, na przykład 1, 2, 2, 4. Filtrowanie lub zmiana kolejności wyświetlania nie powoduje ponownego obliczenia rankingów globalnych. Wyższe wartości niekoniecznie są lepsze.
Statystyki odzwierciedlają migawkę ze źródła publicznego, a nie pomiary na żywo. Niektóre serie to modelowane szacunki lub średnie wieloletnie. Zobacz oryginalne metadane.
Brak obserwacji (23)
Aruba · Bermudy · Brytyjskie Wyspy Dziewicze · Curaçao · Gibraltar · Grenlandia · Guam · Kajmany · Kosowo · Liechtenstein · Mariany Północne · Nowa Kaledonia · Polinezja Francuska · SRA Hongkong (Chiny) · SRA Makau (Chiny) · Saint-Martin · Samoa Amerykańskie · Sint Maarten · Turks i Caicos · Wyspa Man · Wyspy Dziewicze Stanów Zjednoczonych · Wyspy Normandzkie · Wyspy Owcze
Źródło i definicja
- Definicja wskaźnika
- Modelowane zgony matek na 100 000 żywych urodzeń.
- Jednostka
- na 100 000 urodzeń
- Źródło i definicja
- World Bank ·
SH.STA.MMRT
Oryginalne metadane
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 "
}
]
}