Papouasie-Nouvelle-Guinée

  • Gouverneur général:Bob Dadae
  • Premier ministre:James Marape
  • Capitale:Port Moresby
  • Langues:Tok Pisin (official), English (official), Hiri Motu (official), some 836 indigenous languages spoken (about 12% of the world's total); most languages have fewer than 1,000 speakers note: Tok Pisin, a creole language, is widely used and understood; English is spoken by 1%-2%; Hiri Motu is spoken by less than 2%
  • Gouvernement:No data
  • Bureau de statistique national
  • Population, personnes:10 423 036 (2024)
  • Surface en km2:452 860
  • PIB par habitant, US$:3 116 (2022)
  • PIB, milliards US$ en cours:31,6 (2022)
  • Indice de GINI:41,9 (2009)
  • Classement Facilité à faire des affaires:120

Tous les ensembles de données: B C E I U
  • B
    • janvier 2015
      Source : Ookla
      Téléchargé par : Knoema
      Accès le : 02 décembre, 2015
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      NetIndex provides you with a few great ways to visualize our comprehensive global broadband and mobile performance data, our licensable data product, NetMetrics, gives your organization the ability to dive even deeper. Powered by millions of verified Ookla Speedtest results from around the globe, each record contains over 20 individual data points such as GPS or GeoIP location, ISP, throughput, latency, OS, browser, device and more. Gain unparalleled insight into cable, DSL, and fiber performance, as well as cellular 3G/4G and LTE connectivity around the world.
  • C
    • mars 2023
      Source : Statistics Finland
      Téléchargé par : Knoema
      Accès le : 31 mars, 2023
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      ... confidentialFor reasons of privacy protection, cells with less than 10 cases of citizenship by municipality have been marked with three dots. Starting from 1750 Population statistics have been digitized into PDF format in the National Library's Doria service: Publications on Population structure and Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) --- Description of statistic Quality descriptions Concepts and definitionsAreaThese statistics apply the regional division of 1 January 2019 to the whole time series. Data for merged municipalities have been combined. Partial municipal mergers have not been taken into account in the years preceding the merger.NationalityCountries (ISO 3166). The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. In the classification of continents, Europe does not include the figures for Finland. Non-autonomous states are combined with the mother country. Czech Republic = Czech Republic + Former Czechoslovakia Sudan = Sudan + Former Sudan If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. --- HDI = Human Development Index Ranking according to the 2016 HDI index by country: The former Soviet Union is included in the Russia HDI category The former Czechoslovakia is included in the Czech Republic HDI category The former Yugoslavia and Serbia and Montenegro are included in the Serbia HDI categoryInformationPopulation 31 DecPopulation at the end of the statistical reference period.
    • avril 2024
      Source : Numbeo
      Téléchargé par : Raviraj Mahendran
      Accès le : 24 avril, 2024
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      Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering the latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of the overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite the opposite of crime index. If the city has a high safety index, it is considered very safe.
  • E
    • mai 2021
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 mai, 2021
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      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.
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