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🇨🇩 Democratic Republic of the Congo's Progress and Recent Impact

Democratic Republic of the Congo's Progress and Recent Impact

✨ Key Insights

High Per Capita Emissions

The Democratic Republic of the Congo (DRC) has a per capita greenhouse gas emission rate of 5.35 tonnes per person per year, placing it in the "high" category. This level of emissions is significant, especially considering the global push to reduce per capita emissions to near zero. The high per capita emissions in the DRC are largely driven by land-use changes, particularly deforestation for agriculture and other activities. The DRC's vast forested areas, part of the Congo Basin, are crucial carbon sinks, and their degradation contributes significantly to the country's emissions profile.

Land-Use Change Dominates Emissions

The total greenhouse gas emissions for the DRC in the latest year are 547.37 megatonnes of CO2-equivalents, with land-use change being the dominant factor. The net emissions from land-use change account for a substantial portion of the total, reflecting ongoing deforestation and land conversion for agriculture. Historical events, such as the expansion of agriculture and artisanal mining, have exacerbated these emissions. The DRC's share of global emissions stands at 0.99%, which, while seemingly small, is significant given the country's role as a major carbon sink.

Declining Emissions Trend

Over the past decade, the DRC has experienced a decline in its total greenhouse gas emissions, with a yearly percentage change of -3.71%. This trend is primarily driven by a reduction in emissions from land-use change, as efforts to curb deforestation and promote sustainable land management practices take effect. The decline in emissions is a positive sign, aligning with international goals to reduce global warming. However, challenges remain, particularly in balancing economic development with environmental conservation.

Methane and Industrial Growth

Methane emissions in the DRC have seen a slight increase, influenced by activities such as artisanal mining and agricultural practices. The growth of artisanal mining, in particular, has contributed to methane emissions due to the release of trapped gases. While the increase in methane emissions is modest, it highlights the need for improved practices in the mining sector to mitigate greenhouse gas emissions. The DRC's industrial growth, particularly in mining, continues to be a significant factor in its overall emissions profile.

Background

Recent per Capita Emissions

The Recent per Capita Emissions are a crucial indicator of a nation's greenhouse gas emissions. They are a fair measure for comparing the emissions of nations, taking into account the size of their populations.

Because any greenhouse gas emissions above 0 cause warming, the per capita emissions shouldn't be judged against the global average; they should be compared based on how far they are above 0. Therefore, our rating scale is:

  • Extremely High: above 10 tonnes per capita per year
  • Very High: above 7.5 tonnes
  • High: above 5 tonnes
  • Moderate: above 2.5 tonnes
  • Low: above 0 tonnes
  • Negative Emissions: under 0

The per capita emissions should be close to zero for each country, indicated here by the green & low areas.

Last Year Emissions

This is the total amount of CO2, CH4, N2O, and F-Gases emissions of a nation in 2023 (last available year in the data) expressed in megatonnes of CO2-equivalents. The gases have different atmospheric lifetimes (decay) and warming effects, for this reason, we use the GWP100 (100 year time horizon method) to calculate the global warming potential of CH4, N2O, and F-Gases to express them in CO2-equivalents.

Wikipedia: Global Warming Potential

Last Year Share

This is a nation's share of the global emissions in 2023 (last available year in the data). For many countries this value can be quite small, especially when compared to nations like United States or China. It is easy and dangerous to jump to the conclusion that small shares of emissions don't matter. They matter as a group. Even small emitters can account for a significant amount of total emissions. Consider the following examples:

  • 24 nations, each between 0.5 and 1.5% of the total emissions, make up 20% of the total emissions.
  • 27 nations, each between 0.5 and 2% of the total emissions, make up 25% of the total emissions.
  • 162 nations with a share below 0.5% make up 15% of the total.
  • 3 nations, make 44% of the total emissions: China, United States and India. However, China and India together have a population of about 2.9 billion.

Per Capita Emissions are therefore the most crucial indicator to represent the impact of a nation regardless of its size.

Yearly Emissions Trend

This is a nation's trend per year over the last 10 years. It is a good indicator of the trajectory of national emissions and can be used as a simple framework to judge a nation's trend vs. international goals:

  • Stop warming around 1.5 °C: All nations together, and each nation, should drop emissions by 17% per year — 8,000 Megatonnes of CO2 Equivalent per Year.
  • To achieve Net Zero in 2050 and to stop warming at ~1.7 °C: All nations should together, and each nation, should drop emissions by 4% per year — 2,100 Megatonnes of CO2 Equivalent per Year.
  • Additionally, to return warming to pre-industrial levels almost all human-induced CO2 has to be taken out of the atmosphere.

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About the Data

The last available year in all the emission datasets is 2023. CO2 emissions data is from the Global Carbon Project. It contains national CO2 emissions from fossil sources and land-use change. Emissions from CH4, N2O and F-gases come from the PRIMAP-Hist dataset. It is a rich dataset that combines several published sources to create a historical emissions time series for various greenhouse gases. Population data are also from Global Carbon Project where available, however, for many nations it doesn't have historic population going back to 1850. Those historic gaps are filled with population data from Our World in Data.

The Key Insights paragraph was generated using a large language model (LLM) using a structured approach to improve the accuracy. This included separating the context generation from the interpretation and narrative.

Data Sources

Global Carbon Budget 2024 Global Carbon Budget
Update cycle: yearlyDelay: ~ 10 months after the end of the year. Current year values are estimated and published in November.Credits: Friedlingstein et al., 2024, ESSD. Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Landschützer, P., Le Quéré, C., Li, H., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Arneth, A., Arora, V., Bates, N. R., Becker, M., Bellouin, N., Berghoff, C. F., Bittig, H. C., Bopp, L., Cadule, P., Campbell, K., Chamberlain, M. A., Chandra, N., Chevallier, F., Chini, L. P., Colligan, T., Decayeux, J., Djeutchouang, L., Dou, X., Duran Rojas, C., Enyo, K., Evans, W., Fay, A., Feely, R. A., Ford, D. J., Foster, A., Gasser, T., Gehlen, M., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Heinke, J., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarníková, T., Jersild, A., Jiang, F., Jin, Z., Kato, E., Keeling, R. F., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Lauvset, S. K., Lefèvre, N., Liu, Z., Liu, J., Ma, L., Maksyutov, S., Marland, G., Mayot, N., McGuire, P., Metzl, N., Monacci, N. M., Morgan, E. J., Nakaoka, S.-I., Neill, C., Niwa, Y., Nützel, T., Olivier, L., Ono, T., Palmer, P. I., Pierrot, D., Qin, Z., Resplandy, L., Roobaert, A., Rosan, T. M., Rödenbeck, C., Schwinger, J., Smallman, T. L., Smith, S., Sospedra-Alfonso, R., Steinhoff, T., Sun, Q., Sutton, A. J., Séférian, R., Takao, S., Tatebe, H., Tian, H., Tilbrook, B., Torres, O., Tourigny, E., Tsujino, H., Tubiello, F., van der Werf, G., Wanninkhof, R., Wang, X., Yang, D., Yang, X., Yu, Z., Yuan, W., Yue, X., Zaehle, S., Zeng, N., and Zeng, J.: Global Carbon Budget 2024, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-519, in review, 2024.

PRIMAP-hist The PRIMAP-hist national historical emissions time series (1750-2023)
Update cycle: Every few monthsDelay: Less than 1 yearCredits: Gütschow, Johannes; Busch, Daniel; Pflüger, Mika (2024): The PRIMAP-hist national historical emissions time series (1750-2023) v2.6. Zenodo.

Our World in Data Population - Our World in Data
Update cycle: YearlyDelay: 7 monthsCredits: HYDE (2023); Gapminder (2022); UN WPP (2024) – with major processing by Our World in Data