Cooling and heating degree days - Regions — Heating degree degree in Peru
Peru: Cooling and heating degree days - Regions — Heating degree degree was -92.33 Degree days in 2023. ◆ Volatile
Cooling and heating degree days - Regions — Heating degree degree in Peru, 1981–2023
Source: Organisation for Economic Co-operation and Development. Measured in Degree days.
Analysis
Peru recorded -92.33 Degree days for cooling and heating degree days - regions — heating degree degree in 2023.
The figure is down 105.2% on the previous year and down 301.5% over ten years.
Over the whole period, cooling and heating degree days - regions — heating degree degree in Peru peaked at 84.04 Degree days in 1985 and was at its lowest, -119.92 Degree days, in 1998.
Peru ranks 10th of 48 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Cooling and heating degree days - Regions — Heating degree degree in Peru, year by year
| Year | Degree days | Change |
|---|---|---|
| 1981 | 41.95 Degree days | — |
| 1982 | 33.9 Degree days | -19.2% |
| 1983 | -48.66 Degree days | -243.5% |
| 1984 | 81.04 Degree days | -266.5% |
| 1985 | 84.04 Degree days | +3.7% |
| 1986 | 53.8 Degree days | -36.0% |
| 1987 | -22.69 Degree days | -142.2% |
| 1988 | 0.3234 Degree days | -101.4% |
| 1989 | 56.73 Degree days | +17444.3% |
| 1990 | 14.24 Degree days | -74.9% |
| 1991 | -0.9215 Degree days | -106.5% |
| 1992 | 5.23 Degree days | -667.9% |
| 1993 | 29.97 Degree days | +472.6% |
| 1994 | 16.32 Degree days | -45.5% |
| 1995 | -50.67 Degree days | -410.5% |
| 1996 | 13.21 Degree days | -126.1% |
| 1997 | -21.7 Degree days | -264.3% |
| 1998 | -119.92 Degree days | +452.7% |
| 1999 | 24.39 Degree days | -120.3% |
| 2000 | 27.56 Degree days | +13.0% |
| 2001 | 20.72 Degree days | -24.8% |
| 2002 | 1.35 Degree days | -93.5% |
| 2003 | -23 Degree days | -1808.1% |
| 2004 | -0.1492 Degree days | -99.4% |
| 2005 | -37.1 Degree days | +24755.2% |
| 2006 | -21.43 Degree days | -42.2% |
| 2007 | -25.36 Degree days | +18.3% |
| 2008 | -2.92 Degree days | -88.5% |
| 2009 | -44.12 Degree days | +1411.1% |
| 2010 | -86.13 Degree days | +95.2% |
| 2011 | -5.54 Degree days | -93.6% |
| 2012 | -5.32 Degree days | -4.0% |
| 2013 | -23 Degree days | +332.2% |
| 2014 | -33.63 Degree days | +46.2% |
| 2015 | -53.6 Degree days | +59.4% |
| 2016 | -85.66 Degree days | +59.8% |
| 2017 | -70.26 Degree days | -18.0% |
| 2018 | -33.14 Degree days | -52.8% |
| 2019 | -82.16 Degree days | +147.9% |
| 2020 | -80.68 Degree days | -1.8% |
| 2021 | -34.27 Degree days | -57.5% |
| 2022 | -44.99 Degree days | +31.3% |
| 2023 | -92.33 Degree days | +105.2% |
Peru compared with similar countries
- Peru's -92.33 Degree days is below the median for upper middle income countries, which is -41.87 Degree days, 2.2× the median. (8 countries reporting)
- Peru's -92.33 Degree days is below the median for Latin America & Caribbean, which is -60.76 Degree days, 1.5× the median. (7 countries reporting)
Biggest year-on-year movements
Years where Cooling and heating degree days - Regions — Heating degree degree in Peru changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2005 | -24755.2% | -0.1492 Degree days | -37.1 Degree days |
| 1989 | +17444.3% | 0.3234 Degree days | 56.73 Degree days |
| 2003 | -1808.1% | 1.35 Degree days | -23 Degree days |
| 2009 | -1411.1% | -2.92 Degree days | -44.12 Degree days |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 31.16 Degree days | -48.66 Degree days | 84.04 Degree days | 9 |
| 1990s | -8.99 Degree days | -119.92 Degree days | 29.97 Degree days | 10 |
| 2000s | -10.45 Degree days | -44.12 Degree days | 27.56 Degree days | 10 |
| 2010s | -47.84 Degree days | -86.13 Degree days | -5.32 Degree days | 10 |
| 2020s | -63.07 Degree days | -92.33 Degree days | -34.27 Degree days | 4 |
Countries ranked near Peru
More reference data data for Peru
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.15 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.39 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 7.94 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3808 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 7.94 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.84 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.94 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 18.98 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 35.25 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.07 (2050)
Frequently asked questions
- What is cooling and heating degree days - regions — heating degree degree in Peru?
- Cooling and heating degree days - regions — heating degree degree in Peru was -92.33 Degree days in 2023, according to Organisation for Economic Co-operation and Development.
- What is the highest cooling and heating degree days - regions — heating degree degree recorded in Peru?
- The highest recorded value was 84.04 Degree days in 1985.
- What is the lowest cooling and heating degree days - regions — heating degree degree recorded in Peru?
- The lowest recorded value was -119.92 Degree days in 1998.
- How does Peru rank for cooling and heating degree days - regions — heating degree degree?
- Peru ranks 10th out of 48 countries with data for 2023.
- Is cooling and heating degree days - regions — heating degree degree rising or falling in Peru?
- Over the last ten years it is down 301.5%. The long-run trend across the full record is volatile.
- Where does this Peru data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Cooling and heating degree days - Regions — Heating degree degree days change compared to 1981-2010 average. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 43 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides indicators on Cooling and Heating Degree Days, in large (TL2) and small (TL3) regions. Data definition and source Cooling Degree Days (CDD) quantify how hot a given period was, indicating the energy demand for cooling buildings. CDD is calculated as the sum of the differences between the daily mean temperature and a reference temperature of 22°C, for all days when the mean temperature exceeds 22°C. Heating Degree Days (HDD) quantify how cold a given period was, reflecting the energy demand for heating buildings. HDD is calculated as the sum of the differences between a reference temperature of 15°C and the daily mean temperature, for all days when the mean temperature falls below 15°C. Those indicators are based on Copernicus ERA5-Land. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. Definition of regions 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 (pdf) and the OECD Territorial Correspondence Table (xlsx). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.