File:Rwanda Population 1950-2021 Forecast 2022-2032 UN World Population Prospects 2022.svg
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Summary
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Deutsch: Visualisierung der geschätzten jährlichen Bevölkerungsentwicklung in Ruanda (Rwanda) von 1950 - 2021; Vorhersage der Bevölkerungsentwicklung von 2022-2032 anhand der "mittleren Prognose" ("medium variant") der Vereinten Nationen.
Historische Ereignisse, die eventuell die Bevölkerungszahl verändert haben könnten, wurden eventuell in das Diagramm eingefügt. Daten von Kriegen werden eventuell auch dargestellt um klarzumachen, dass es sich bei den Demographiedaten um zurückdatierte Schätzungen handeln sollte, weil das Land Bevölkerungsteile oder Teile einer Region verloren oder dazugewonnen haben könnte. Originaltext der von den Vereinten Nationen verwendeten (englischen) Namen für die Daten übernommen. Gepunktete Kurven stellen grundsätzlich die Vorhersagen für die nächsten 10 Jahre anhand der mittleren Prognose ("medium variant") der Vereinten Nationen dar. Deutsche Übersetzung: Blaue Kurve: Gesamtbevölkerung jeweils zum 1. Juli in Tausend (linke y-Achse); Blaue gepunktete Kurve: Gesamtbevölkerung jeweils zum 1. Juli in Tausend, "Mittlere Prognose" ("Medium variant") (linke y-Achse); Rote Kurve: Gesamtfruchtbarkeitsrate (Lebendgeburten pro Frau) (rechte y-Achse); Rote gepunktete Kurve: Gesamtfruchtbarkeitsrate (Lebendgeburten pro Frau), "Mittlere Prognose" ("Medium variant") (rechte y-Achse); Gelbe Kurve: Nettoreproduktionsrate (überlebende Töchter pro Frau) (rechte y-Achse); Gelbe gepunktete Kurve: Nettoreproduktionsrate (überlebende Töchter pro Frau), "Mittlere Prognose" ("Medium variant") (rechte y-Achse) Datenquelle (Steht auch im Bild): United Nations, Population Division, Department of Economic and Social Affairs World Population Prospects 2022 File GEN/01/REV1: Demographic indicators by region, subregion and country, annually for 1950-2100 Estimates, 1950 - 2021 POP/DB/WPP/Rev.2022/GEN/F01/Rev.1 © July 2022 by United Nations, made available under a Creative Commons license CC BY 3.0 IGO: https://creativecommons.org/licenses/by/3.0/igo/ Link zur Datenquelle: https://population.un.org/wpp/Download/Standard/MostUsed/; Heruntergeladene Datei: "Complete (estimates and all projection scenarios)" (XLSX, 93,17 MB), abgerufen am 16.07.2022 Link zur Beschreibung der Daten: https://population.un.org/wpp/ Vorgeschlagene Zitierung: United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects 2022, Online EditionEnglish: Visualization of estimated annual population trends in Rwanda from 1950 - 2021; projection of the population trend from 2022-2032 using the 'medium variant' of the United Nations.
Historical events that may have changed the population may have been added to the chart. Dates of wars may also be shown to make it clear that demographic data should be backdated estimates because the country may have lost or gained population or parts of a region. Original names of terms used by the United Nations adopted. Dotted curves basically represent the forecasts for the next 10 years using the United Nations medium variant forecast. Blue curve: Total Population, as of 1 July in thousands (left y-axis); Blue dotted curve: Total Population, as of 1 July in thousands, Forecast ('medium variant') (left y-axis); Red curve: total fertility rate (live births per woman) (right y-axis); Red dotted curve: total fertility rate (live births per woman), Forecast ('medium variant') (right y-axis); Yellow curve: Net reproductive rate (surviving daughters per woman) (right y-axis); Yellow dotted curve: Net reproductive rate (surviving daughters per woman), Forecast ('medium variant') (right y-axis).
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| Author | Eneliting |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 09:59, 26 August 2022 |  | 1,074 × 535 (38 KB) | Eneliting | Historical events that may have changed the population may have been added to the chart. Dates of wars may also be shown to make it clear that demographic data should be backdated estimates because the country may have lost or gained population or parts of a region. |
| 22:29, 24 August 2022 |  | 1,074 × 535 (37 KB) | Eneliting | Uploaded own work with UploadWizard |
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