Japan vs Peru: Health statistics - Regions (for 'Developer API') — Active physicians
Health statistics - Regions (for 'Developer API') — Active physicians over time
- Japan
- Peru
How they compare
Peru currently reports 2.83 Per 1 000 inhabitants against 2.7 Per 1 000 inhabitants in Japan, a difference of 0.13 Per 1 000 inhabitants.
The two have swapped places 1 time across 9 shared years of data; in 2002 it was Japan ahead.
Japan ranks 39th and Peru ranks 38th of 44 countries.
Across the 3 decades both report, Japan averaged higher in 2 and Peru in 1.
Head to head by decade
| Decade | Japan | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 2 Per 1 000 inhabitants | 1.44 Per 1 000 inhabitants | 0.56 Per 1 000 inhabitants | Japan |
| 2010s | 2.36 Per 1 000 inhabitants | 2.17 Per 1 000 inhabitants | 0.182 Per 1 000 inhabitants | Japan |
| 2020s | 2.62 Per 1 000 inhabitants | 2.65 Per 1 000 inhabitants | 0.025 Per 1 000 inhabitants | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher health statistics - regions (for 'developer api') — active physicians, Japan or Peru?
- Peru, at 2.83 Per 1 000 inhabitants against 2.7 Per 1 000 inhabitants in Japan as of 2023.
- What is the difference in health statistics - regions (for 'developer api') — active physicians between Japan and Peru?
- 0.13 Per 1 000 inhabitants, with Peru ahead.
- How many years of comparable data are there for Japan and Peru?
- 9 years are reported by both, from 2002 to 2022.
- How do Japan and Peru rank globally for health statistics - regions (for 'developer api') — active physicians?
- Japan ranks 39th and Peru ranks 38th of 44 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Health statistics - Regions (for 'Developer API') — Active physicians. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
<p style="text-align: justify;">This dataset provides the whole set of <strong>OECD regional health indicators</strong> in large (TL2) and small (TL3) regions. It is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <ul> <li style="text-align: justify;"><span style="text-decoration: underline;">Healthcare resources</span>: physicians, practising nurses, hospital beds and hospital discharges.</li> <li style="text-align: justify;"><span style="text-decoration: underline;">Health status</span>: life expectancy, infant mortality rate, crude mortality rate, age-adjusted mortality rate.</li> <li style="text-align: justify;"><span style="text-decoration: underline;">Health risks</span>: obesity, mortality due circulatory and respiratory diseases, air pollution.</li> </ul> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial Grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. </p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a> </li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p>