Papua New Guinea vs Sierra Leone: Mortality, morbidity and welfare cost from exposure to
Mortality, morbidity and welfare cost from exposure to over time
- Papua New Guinea
- Sierra Leone
How they compare
Papua New Guinea currently reports 58.34 Per 1 000 inhabitants against 53.45 Per 1 000 inhabitants in Sierra Leone, a difference of 4.89 Per 1 000 inhabitants.
That makes Papua New Guinea's figure about 1.1 times Sierra Leone's.
The two have swapped places 1 time across 30 shared years of data; in 1990 it was Sierra Leone ahead.
Papua New Guinea ranks 8th and Sierra Leone ranks 11th of 177 countries.
Sierra Leone has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Papua New Guinea | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 65.83 Per 1 000 inhabitants | 126.46 Per 1 000 inhabitants | 60.64 Per 1 000 inhabitants | Sierra Leone |
| 2000s | 66.42 Per 1 000 inhabitants | 107 Per 1 000 inhabitants | 40.59 Per 1 000 inhabitants | Sierra Leone |
| 2010s | 61.78 Per 1 000 inhabitants | 66.69 Per 1 000 inhabitants | 4.91 Per 1 000 inhabitants | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher mortality, morbidity and welfare cost from exposure to, Papua New Guinea or Sierra Leone?
- Papua New Guinea, at 58.34 Per 1 000 inhabitants against 53.45 Per 1 000 inhabitants in Sierra Leone as of 2019.
- What is the difference in mortality, morbidity and welfare cost from exposure to between Papua New Guinea and Sierra Leone?
- 4.89 Per 1 000 inhabitants, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and Sierra Leone?
- 30 years are reported by both, from 1990 to 2019.
- How do Papua New Guinea and Sierra Leone rank globally for mortality, morbidity and welfare cost from exposure to?
- Papua New Guinea ranks 8th and Sierra Leone ranks 11th of 177 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Mortality, morbidity and welfare cost from exposure to environment-related risks — Disability-adjusted life years (DALYs). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Mortality and Welfare Costs from Exposure to Environmental Risks database provides data on health impacts and welfare costs from exposure to environmentally-related risks. This dataset integrates data on mortality and Disability-Adjusted Life Years (DALYs) from the Global Burden of Disease Study 2019 (GBD 2019), and quantifies welfare costs using a methodology adapted from the OECD (2017), The Rising Cost of Ambient Air Pollution thus far in the 21st Century: Results from the BRIICS and the OECD Countries. The database covers a wide range of environmental risks, including air pollution, climate-related threats, exposure to hazardous substances such as lead and radon, unsafe water and sanitation, environment-related occupational risks, and environment-related behavioral risks. The data are disaggregated by gender and age groups, providing a granular view of how these risks impact dimensions of the population. Data source(s): GBD (2019), Global Burden of Disease Study 2019 Results, Institute for Health Metrics and Evaluation, Seattle, United States. http://ghdx.healthdata.org/gbd-results-tool GBD 2019 Risk Factor Collaborators (2020), Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019, The Lancet, Volume 396, Issue 10258, Pages 1223-1249. https://doi.org/10.1016/S0140-6736(20)30752-2. Online Appendix 1: https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf OECD (2017), The Rising Cost of Ambient Air Pollution thus far in the 21st Century: Results from the BRIICS and the OECD Countries, OECD Publishing, Paris. http://dx.doi.org/10.1787/d1b2b844-en Contact: env.stat@oecd.org Dataset release date: December 2020 For further details on the dataset, consult the Dataset documentation.