Energy & Process GHG Emissions — - Energy & Process GHG Emissions refer to the total greenhouse gas (GHG) emissions generated from energy-related activities and industrial processes within a given year. The indicator is typically expressed in million tonnes of carbon dioxide equivalent (MtCO₂e) and combines emissions from fossil fuel combustion, industrial energy use, and process-related activities into a single measure using global warming potential (GWP) factors. It provides a comprehensive assessment of emissions associated with energy production, energy consumption, and industrial manufacturing, making it a key indicator for evaluating a country's environmental impact, industrial development, and progress toward climate mitigation objectives.
Measured in million tonnes, the dataset reflects emissions generated from fuel combustion, energy production, and industrial processes, serving as an important indicator of economic activity, energy consumption, industrial development, and environmental impact. It supports analysis of long-term emission patterns, policy evaluation, and sustainability planning across Kazakhstan's energy sector.
Kazakhstan's energy and process GHG emissions increased from 237.9 million tonnes in 2015 to 256.2 million tonnes in 2016, 274.6 million tonnes in 2017, and 283.6 million tonnes in 2018, before easing slightly to 277.7 million tonnes in 2019. Emissions declined further to 259.8 million tonnes in 2020, reflecting reduced industrial and economic activity during the COVID-19 pandemic. As economic conditions improved, emissions rebounded to 279.4 million tonnes in 2021, remained broadly stable at 277.5 million tonnes in 2022, and climbed sharply to 308.7 million tonnes in 2023, the highest level recorded during the review period.
Overall, the dataset demonstrates a generally upward emissions trend despite the temporary decline in 2020. The strong recovery after the pandemic reflects renewed industrial production, higher energy demand, and expanding economic activity across the country. The dataset serves as a valuable resource for monitoring emission performance, evaluating environmental trends, supporting climate policy analysis, forecasting future emissions, assessing industrial development, and enabling policymakers, researchers, investors, and industry stakeholders to formulate informed energy transition and emissions management strategies.