Temperature anomaly (K; relative to 1971-2000) - Land and ocean: latitudes between 90S and 90N - 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 90 degrees South and 90 degrees North, the temperature anomaly relative to the 1971-2000 average stood at 0.77 degrees Kelvin in August 2025, compared to 0.70 in July.
Sample. In this monthly time series, there are 2,108 data points in total. The time span covered by the series goes from January 1850 to August 2025.
History. Here’s a quick look at a few descriptive statistics we computed on the entire sample: the anomaly registered a minimum of -1.06 degrees Kelvin in December 1916; it hit a peak of 1.17 in November 2023; it was equal on average to -0.24.
Latest values
| Date | Value - Degrees Kelvin |
|---|---|
| 2025-06-30 | 0.686494 |
| 2025-07-31 | 0.699402 |
| 2025-08-31 | 0.767582 |
Nugget of wisdom. Our metadata often contain links to the original sources of the time-series data shown on FetchSeries. You can use these links to search for additional information needed in your analyses.
Not for investment purposes. Content available on this web site is not intended for investment purposes or other financial decisions. Users should ask for 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.