Temperature anomaly (K; relative to 1971-2000) - Land: latitudes between 90S and 60S - NOAA - Monthly
This series is part of the dataset: Temperature anomalies by latitude (NOAA)
Download Full Dataset (.xlsx)Latest updates. In land locations at latitudes between 90 degrees South and 60 degrees South, the temperature anomaly relative to the 1971-2000 average stood at 0.67 degrees Kelvin in October 2026, compared to -0.42 in September.
Sample. In the monthly time series displayed in the figure, there are 2,122 observations in total. The series covers the span of time going from January 1850 to October 2026.
History. Here are some simple statistics computed on the entire sample: the anomaly had an average value of -0.15 degrees Kelvin; it reached its lowest level of -1.96 degrees Kelvin in August 1932; it reached its maximum of 1.70 degrees Kelvin in August 1996.
Latest values
| Date | Value - Degrees Kelvin |
|---|---|
| 2026-08-31 | 0.415820 |
| 2026-09-30 | -0.416699 |
| 2026-10-31 | 0.672848 |
Nugget of wisdom. To make our users' life easier, we categorize time series into worksheets and datasets. If you look below, you will find how we arranged further material linked to the statistics found here.
Not for investment purposes. Data series and other information published on this web site are not meant for investment purposes or other financial decisions. Users should ask for expert advice and do their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Temperature anomaly |
| Country | World |
| Economic concept | Temperature |
| Data type | Physical measurement |
| Deflation method | Not applicable |
| Seasonally adjusted | No |
| Rescaling | None |
| Frequency | Monthly |
| Unit | Degrees Kelvin |
| Source | NOAA National Centers for Environmental Information |
| Source type | Federal Administration |
| Data licence | Some use and access constraints |
| Measure type | Anomaly relative to 1971–2000 climatology |
Series in the same data set
Discover the other time series included in this data set.