India vs Lithuania: Cooling and heating degree days - Regions — Cooling degree days days
Cooling and heating degree days - Regions — Cooling degree days days over time
- India
- Lithuania
How they compare
India currently reports 8.77 Degree days against 6.66 Degree days in Lithuania, a difference of 2.11 Degree days.
That makes India's figure about 1.3 times Lithuania's.
The two have swapped places 19 times across 43 shared years of data; in 1981 it was Lithuania ahead.
India ranks 31st and Lithuania ranks 33rd of 48 countries.
Across the 5 decades both report, India averaged higher in 3 and Lithuania in 2.
Head to head by decade
| Decade | India | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 8.65 Degree days | -6.24 Degree days | 14.88 Degree days | India |
| 1990s | -38.87 Degree days | 0.7058 Degree days | 39.58 Degree days | Lithuania |
| 2000s | 13.25 Degree days | 0.5263 Degree days | 12.72 Degree days | India |
| 2010s | 44.77 Degree days | 10.8 Degree days | 33.97 Degree days | India |
| 2020s | -18.42 Degree days | 17.14 Degree days | 35.56 Degree days | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cooling and heating degree days - regions — cooling degree days days, India or Lithuania?
- India, at 8.77 Degree days against 6.66 Degree days in Lithuania as of 2023.
- What is the difference in cooling and heating degree days - regions — cooling degree days days between India and Lithuania?
- 2.11 Degree days, with India ahead.
- How many years of comparable data are there for India and Lithuania?
- 43 years are reported by both, from 1981 to 2023.
- How do India and Lithuania rank globally for cooling and heating degree days - regions — cooling degree days days?
- India ranks 31st and Lithuania ranks 33rd of 48 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Cooling and heating degree days - Regions — Cooling degree days days change compared to 1981-2010 average. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.