Worldwide Temperature Trends 1961–2024
Tracking Global Temperature Shifts Over Time
@kaggle.rehan497_worldwide_temperature_trends_19612024
Tracking Global Temperature Shifts Over Time
@kaggle.rehan497_worldwide_temperature_trends_19612024
This dataset captures how land surface temperatures have changed across almost every country over the past six decades. Rather than raw temperatures, it provides temperature anomalies — the difference between a location’s observed temperature and a long-term baseline (1951–1980). Anomalies are the clearest way to see climate shifts: they remove seasonal and geographic offsets so you can compare trends across places and over time.
The records are derived from the widely used NASA GISTEMP product and repackaged by FAOSTAT into analysis-ready tables. That means you get scientifically vetted measurements presented in tidy and wide formats, so you can jump straight into visualization, statistical modeling, or combining these values with economic, health, land-use, or emissions data using standard ISO3 country codes.
Why this matters: trends in temperature anomalies reveal where warming is greatest, where variability is increasing, and how quickly climates are shifting — information vital for climate science, policy planning, risk assessment, and public storytelling. Because values are anomaly-based and span 1961–2023, the dataset supports robust trend estimation (for example, degrees per decade), extreme-event context, and longitudinal comparisons between regions.
Who benefits most: data scientists, climate researchers, students, journalists, NGOs, and civic technologists who want a reliable, easy-to-merge temperature signal to power maps, dashboards, clustering, forecasts, or correlation studies (e.g., linking warming to emissions, deforestation, or public health outcomes).
Key practical advantages:
Ready-to-use: tidy and wide formats for Pandas, R, and visualization tools.
Consistency: ISO3 codes included to avoid name-matching problems when joining with other country-level datasets.
Comparability: anomaly values referenced to a standard baseline (1951–1980), enabling fair comparisons across countries and decades.
Environment_Temperature_change_E_All_Data_NOFLAG.csv
Contains detailed temperature change data (in °C) for countries and regions, showing how temperatures have shifted annually and seasonally compared to a baseline period.
FAOSTAT_data_1-10-2022.csv
Provides an updated version of the climate change domain data, including annual and seasonal temperature change records up to 2021. It helps track long-term warming patterns globally.
FAOSTAT_data_11-24-2020.csv
A country reference file listing all countries and regions with their FAO codes, UN M49 codes, and ISO codes. It helps connect and organize data across different FAO files.
FAOSTAT_data_en_11-1-2024.csv
The most recent and detailed file (2024 release), showing monthly and annual temperature changes on land for each country, along with flags that indicate data reliability (e.g., estimated values).
Together, these files allow users to explore global warming trends, compare temperature changes by country or region, and study climate patterns over time using trusted FAO data.
CREATE TABLE faostat_data_1_10_2022 (
"domain_code" VARCHAR,
"domain" VARCHAR,
"area_code_fao" BIGINT -- Area Code (FAO),
"area" VARCHAR,
"element_code" BIGINT,
"element" VARCHAR,
"months_code" BIGINT,
"months" VARCHAR,
"year_code" BIGINT,
"year" BIGINT,
"unit" VARCHAR,
"value" DOUBLE,
"flag" VARCHAR,
"flag_description" VARCHAR
);CREATE TABLE faostat_data_11_24_2020 (
"country_code" BIGINT,
"country" VARCHAR,
"m49_code" DOUBLE,
"iso2_code" VARCHAR,
"iso3_code" VARCHAR,
"start_year" DOUBLE,
"end_year" DOUBLE
);CREATE TABLE faostat_data_en_11_1_2024 (
"domain_code" VARCHAR,
"domain" VARCHAR,
"area_code_m49" BIGINT -- Area Code (M49),
"area" VARCHAR,
"element_code" BIGINT,
"element" VARCHAR,
"months_code" BIGINT,
"months" VARCHAR,
"year_code" BIGINT,
"year" BIGINT,
"unit" VARCHAR,
"value" DOUBLE,
"flag" VARCHAR,
"flag_description" VARCHAR
);Anyone who has the link will be able to view this.