Carbon Footprint of Bank Loans, Emissions intensities in Lithuania
Lithuania: Carbon Footprint of Bank Loans, Emissions intensities was 43.33 in 2018. ▼ Falling
Carbon Footprint of Bank Loans, Emissions intensities in Lithuania, 2005–2018
Source: International Monetary Fund.
Analysis
The most recent figure for carbon footprint of bank loans, emissions intensities in Lithuania is 43.33, measured in 2018. That is the lowest value across all 14 years on record.
The figure is down 16.2% on the previous year and down 27.0% over ten years.
Over the whole period, carbon footprint of bank loans, emissions intensities in Lithuania peaked at 102.44 in 2005 and was at its lowest, 43.33, in 2018.
Lithuania ranks 37th of 37 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 14 years of available data.
Carbon Footprint of Bank Loans, Emissions intensities in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 102.44 | — |
| 2006 | 88.71 | -13.4% |
| 2007 | 85.42 | -3.7% |
| 2008 | 59.35 | -30.5% |
| 2009 | 66.72 | +12.4% |
| 2010 | 67.34 | +0.9% |
| 2011 | 70.07 | +4.1% |
| 2012 | 88.7 | +26.6% |
| 2013 | 79.49 | -10.4% |
| 2014 | 76.98 | -3.2% |
| 2015 | 100 | +29.9% |
| 2016 | 78.24 | -21.8% |
| 2017 | 51.72 | -33.9% |
| 2018 | 43.33 | -16.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 80.53 | 59.35 | 102.44 | 5 |
| 2010s | 72.87 | 43.33 | 100 | 9 |
Countries ranked near Lithuania
More financial sector data for Lithuania
- Reserves excluding gold, foreign exchange (SDR), annual growth rate -16.17 % change on previous year (2025)
- Reserves excluding gold, foreign exchange (SDR), per unit of GDP 0.0406 SDR per US$ of GDP (2025)
- Reserves excluding gold, foreign exchange (SDR), per capita 1,339 SDR per person (2025)
- Reserves excluding gold (SDR), annual growth rate -14.09 % change on previous year (2025)
- Reserves excluding gold (SDR), per capita 1,578 SDR per person (2025)
- Total reserves (gold at market value) (SDR), annual growth rate -9.25 % change on previous year (2025)
- Total reserves (gold at market value) (SDR), per capita 1,784 SDR per person (2025)
- Total reserves (gold at national valuation) (SDR), annual growth rate -9.39 % change on previous year (2025)
- Total reserves (gold at national valuation) (SDR), per capita 1,782 SDR per person (2025)
- Total reserves in months of imports, annual growth rate -15.35 % change on previous year (2025)
Frequently asked questions
- What is carbon footprint of bank loans, emissions intensities in Lithuania?
- Carbon footprint of bank loans, emissions intensities in Lithuania was 43.33 in 2018, according to International Monetary Fund.
- What is the highest carbon footprint of bank loans, emissions intensities recorded in Lithuania?
- The highest recorded value was 102.44 in 2005.
- What is the lowest carbon footprint of bank loans, emissions intensities recorded in Lithuania?
- The lowest recorded value was 43.33 in 2018.
- How does Lithuania rank for carbon footprint of bank loans, emissions intensities?
- Lithuania ranks 37th out of 37 countries with data for 2018.
- Is carbon footprint of bank loans, emissions intensities rising or falling in Lithuania?
- Over the last ten years it is down 27.0%. The long-run trend across the full record is falling.
- Where does this Lithuania data come from?
- The figures come from International Monetary Fund, published as part of Carbon Footprint of Bank Loans, Emissions intensities (normalized). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under IMF Terms and Conditions (attribution required).
About this data
This dataset is designed to measure the carbon footprint of bank loans, which is a crucial component for understanding the environmental impact of financial portfolios. Bank loans provide finance to industries with varying degrees of carbon intensities. The footprint of bank loans contributes to the disclosure of the carbon intensity of the loans portfolio.