Temperature anomaly (K; relative to 1971-2000) - Land and ocean: latitudes between 00N and 30N - 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 00 degrees North and 30 degrees North, the temperature anomaly relative to the 1971-2000 average stood at 0.56 degrees Kelvin in May 2026, compared to 0.39 in April 2026.
Sample. There are 2,117 data points overall in the monthly series presented in the plot above. The series covers the time period stretching from January 1850 to May 2026.
History. Here's a peek at a few summary statistics calculated on the entire sample: the anomaly attained a maximum of 0.91 degrees Kelvin in January 2024; it reached its minimum of -1.63 in February 1861; it averaged -0.51.
Latest values
| Date | Value - Degrees Kelvin |
|---|---|
| 2026-03-31 | 0.417828 |
| 2026-04-30 | 0.393006 |
| 2026-05-31 | 0.561763 |
Hint. We group indicators into data sets and worksheets to simplify research. Scrolling downwards, you will discover how we arranged further material related to the statistics published here.
Not for investment purposes. Financial data collected and published on FetchSeries are not suitable for investment purposes or any other financial decision. Users should ask for expert 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.