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 was 0.34 degrees Kelvin in August 2025, compared to 0.35 in the previous month.
Sample. In the monthly series shown in the graph, there are 2,108 data points in total. The time range covered by the series is from January 1850 to August 2025.
History. Here's a glimpse of a few descriptive statistics computed on the full sample: the anomaly achieved a maximum of 0.61 degrees Kelvin in January 2025; it reached a minimum of -1.00 in March 1911; it was equal on average to -0.37.
Latest values
| Date | Value - Degrees Kelvin |
|---|---|
| 2025-06-30 | 0.329494 |
| 2025-07-31 | 0.348965 |
| 2025-08-31 | 0.339352 |
Heads-up. One of the advantages of using FetchSeries is that we provide accurate metadata. Find it below to gain insights on the attributes of the indicators that you analyze.
Not for investment purposes. Data and any other information provided on this web site are not meant for investment purposes or any other financial decision. Users should obtain professional advice and do independent analysis before pledging money to any investment.
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.