Carbon Footprint of Bank Loans, Emissions multipliers in Hong Kong, China
Hong Kong, China: Carbon Footprint of Bank Loans, Emissions multipliers was 220 in 2018. ▼ Falling
Carbon Footprint of Bank Loans, Emissions multipliers in Hong Kong, China, 2005–2018
Source: International Monetary Fund.
Analysis
In 2018, carbon footprint of bank loans, emissions multipliers in Hong Kong, China stood at 220. That is the lowest value across all 14 years on record.
The figure is down 9.3% on the previous year and down 19.0% over ten years.
Over the whole period, carbon footprint of bank loans, emissions multipliers in Hong Kong, China peaked at 348.15 in 2005 and was at its lowest, 220, in 2018.
That places Hong Kong, China 16th out of 37 countries with data for 2018, putting it in the middle of the range.
The long-run direction has been consistently falling across the 14 years of available data.
Carbon Footprint of Bank Loans, Emissions multipliers in Hong Kong, China, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 348.15 | — |
| 2006 | 318.32 | -8.6% |
| 2007 | 293.9 | -7.7% |
| 2008 | 271.66 | -7.6% |
| 2009 | 295.64 | +8.8% |
| 2010 | 268.63 | -9.1% |
| 2011 | 291.82 | +8.6% |
| 2012 | 253.94 | -13.0% |
| 2013 | 235.01 | -7.5% |
| 2014 | 297.94 | +26.8% |
| 2015 | 251.05 | -15.7% |
| 2016 | 244.98 | -2.4% |
| 2017 | 242.43 | -1.0% |
| 2018 | 220 | -9.3% |
Hong Kong, China compared with similar countries
- Hong Kong, China's 220 is below the median for East Asia & Pacific, which is 494.76, 44% of the median. (7 countries reporting)
- Hong Kong, China's 220 is above the median for high income countries, which is 174.76, 1.3× the median. (29 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 305.54 | 271.66 | 348.15 | 5 |
| 2010s | 256.2 | 220 | 297.94 | 9 |
Countries ranked near Hong Kong, China
More financial sector data for Hong Kong, China
- Reserves excluding gold, foreign exchange (SDR), annual growth rate -3.35 % change on previous year (2025)
- Reserves excluding gold, foreign exchange (SDR), per unit of GDP 0.7308 SDR per US$ of GDP (2025)
- Reserves excluding gold, foreign exchange (SDR), per capita 41,641 SDR per person (2025)
- Reserves excluding gold (SDR), annual growth rate -0.454 % change on previous year (2023)
- Reserves excluding gold (SDR), per capita 42,075 SDR per person (2023)
- Total reserves (gold at market value) (SDR), annual growth rate -0.4501 % change on previous year (2023)
- Total reserves (gold at market value) (SDR), per capita 42,088 SDR per person (2023)
- Total reserves (gold at national valuation) (SDR), annual growth rate -0.4504 % change on previous year (2023)
- Total reserves (gold at national valuation) (SDR), per capita 42,088 SDR per person (2023)
- Total reserves in months of imports, annual growth rate -0.5027 % change on previous year (2023)
Frequently asked questions
- What is carbon footprint of bank loans, emissions multipliers in Hong Kong, China?
- Carbon footprint of bank loans, emissions multipliers in Hong Kong, China was 220 in 2018, according to International Monetary Fund.
- What is the highest carbon footprint of bank loans, emissions multipliers recorded in Hong Kong, China?
- The highest recorded value was 348.15 in 2005.
- What is the lowest carbon footprint of bank loans, emissions multipliers recorded in Hong Kong, China?
- The lowest recorded value was 220 in 2018.
- How does Hong Kong, China rank for carbon footprint of bank loans, emissions multipliers?
- Hong Kong, China ranks 16th out of 37 countries with data for 2018.
- Is carbon footprint of bank loans, emissions multipliers rising or falling in Hong Kong, China?
- Over the last ten years it is down 19.0%. The long-run trend across the full record is falling.
- Where does this Hong Kong, China data come from?
- The figures come from International Monetary Fund, published as part of Carbon Footprint of Bank Loans, Emissions multipliers. 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.