Temperature anomaly (K; relative to 1971-2000) - Land and ocean: latitudes between 60S and 30S - NOAA - Monthly
This series is part of the dataset: Temperature anomalies by latitude (NOAA)
Download Full Dataset (.xlsx)Latest updates. In both land and oceanic locations at latitudes between 60 degrees South and 30 degrees South, the temperature anomaly relative to the 1971-2000 average stood at 0.26 degrees Kelvin in November 2025, compared to 0.27 in October.
Sample. There are 2,111 observations in the monthly series displayed in the graph above. The series covers the time period extending from January 1850 to November 2025.
History. Here's a snapshot of a few statistics computed on the entire sample: the anomaly hit a peak of 0.60 degrees Kelvin in January 2025; it hit a trough of -1.00 in March 1911; it was equal on average to -0.37.
Latest values
| Date | Value - Degrees Kelvin |
|---|---|
| 2025-09-30 | 0.352969 |
| 2025-10-31 | 0.273341 |
| 2025-11-30 | 0.255611 |
Heads-up. To make your life easier, we group indicators into data sets and worksheets. Scrolling downwards, you will discover how we arranged further material related to the statistics published here.
Not for investment purposes. Any data available on this web site are not suitable for investment purposes or any other financial decision. Users should consult professional advice and perform independent analysis before making any financial commitments.
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.