Temperature anomaly (K; relative to 1971-2000) - Land and ocean: latitudes between 60N 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 60 degrees North and 90 degrees North, the temperature anomaly relative to the 1971-2000 average was 3.56 degrees Kelvin in November 2025, compared to 3.92 in the previous month.
Sample. There are 2,111 observations in the monthly series shown in the plot above. The series covers the time range extending from January 1850 to November 2025.
History. Here’s a quick look at some summary statistics calculated on the entire sample: the anomaly was equal on average to -0.04 degrees Kelvin; it attained a maximum of 5.00 in November 2020; it reached a trough of -4.09 in February 1979.
Latest values
| Date | Value - Degrees Kelvin |
|---|---|
| 2025-09-30 | 2.297442 |
| 2025-10-31 | 3.917058 |
| 2025-11-30 | 3.561569 |
Suggestion. We organize time series into data sets and worksheets to simplify exploration. When you navigate further down, you will find how we arranged further information linked to the statistics provided here.
Not for investment purposes. Any data provided on FetchSeries are not not supposed to be used for investment purposes or other financial decisions. Users should consult professional advice and perform 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.