Palau vs Trinidad and Tobago: Mortality, morbidity and welfare cost from exposure to
Mortality, morbidity and welfare cost from exposure to over time
- Palau
- Trinidad and Tobago
How they compare
Trinidad and Tobago currently reports 0.028 Per 1 000 inhabitants against 0.023 Per 1 000 inhabitants in Palau, a difference of 0.005 Per 1 000 inhabitants.
That makes Trinidad and Tobago's figure about 1.2 times Palau's.
The two have swapped places 2 times across 30 shared years of data; in 1990 it was Trinidad and Tobago ahead.
Palau ranks 147th and Trinidad and Tobago ranks 145th of 177 countries.
Trinidad and Tobago has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Palau | Trinidad and Tobago | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.0379 Per 1 000 inhabitants | 0.2177 Per 1 000 inhabitants | 0.1798 Per 1 000 inhabitants | Trinidad and Tobago |
| 2000s | 0.0256 Per 1 000 inhabitants | 0.0858 Per 1 000 inhabitants | 0.0602 Per 1 000 inhabitants | Trinidad and Tobago |
| 2010s | 0.027 Per 1 000 inhabitants | 0.0338 Per 1 000 inhabitants | 0.0068 Per 1 000 inhabitants | Trinidad and Tobago |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher mortality, morbidity and welfare cost from exposure to, Palau or Trinidad and Tobago?
- Trinidad and Tobago, at 0.028 Per 1 000 inhabitants against 0.023 Per 1 000 inhabitants in Palau as of 2019.
- What is the difference in mortality, morbidity and welfare cost from exposure to between Palau and Trinidad and Tobago?
- 0.005 Per 1 000 inhabitants, with Trinidad and Tobago ahead.
- How many years of comparable data are there for Palau and Trinidad and Tobago?
- 30 years are reported by both, from 1990 to 2019.
- How do Palau and Trinidad and Tobago rank globally for mortality, morbidity and welfare cost from exposure to?
- Palau ranks 147th and Trinidad and Tobago ranks 145th 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.