Ghana vs Macau, China: Temperature change with respect to a baseline climatology
Ghana
1.72
in 2024
Macau, China
1.71
in 2024
Ghana rank
125th
Macau, China rank
126th
Temperature change with respect to a baseline climatology over time
- Ghana
- Macau, China
How they compare
Ghana currently reports 1.72 against 1.71 in Macau, China, a difference of 0.01.
The two have swapped places 17 times across 64 shared years of data; in 1961 it was Macau, China ahead.
Ghana ranks 125th and Macau, China ranks 126th of 225 countries.
Across the 7 decades both report, Ghana averaged higher in 5 and Macau, China in 2.
Head to head by decade
| Decade | Ghana | Macau, China | Difference | Ahead |
|---|---|---|---|---|
| 1960s | -0.043 | 0.0673 | 0.1103 | Macau, China |
| 1970s | 0.1507 | -0.0976 | 0.2483 | Ghana |
| 1980s | 0.5116 | 0.0631 | 0.4485 | Ghana |
| 1990s | 0.5962 | 0.39 | 0.2062 | Ghana |
| 2000s | 0.8407 | 0.7965 | 0.0442 | Ghana |
| 2010s | 1.06 | 0.8337 | 0.2276 | Ghana |
| 2020s | 1.39 | 1.53 | 0.135 | Macau, China |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher temperature change with respect to a baseline climatology, Ghana or Macau, China?
- Ghana, at 1.72 against 1.71 in Macau, China as of 2024.
- What is the difference in temperature change with respect to a baseline climatology between Ghana and Macau, China?
- 0.01, with Ghana ahead.
- How many years of comparable data are there for Ghana and Macau, China?
- 64 years are reported by both, from 1961 to 2024.
- How do Ghana and Macau, China rank globally for temperature change with respect to a baseline climatology?
- Ghana ranks 125th and Macau, China ranks 126th of 225 countries.
- Where does this data come from?
- International Monetary Fund, published as Temperature change with respect to a baseline climatology, corresponding to the period 1951-1980 (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.