Ilo national vs modeled data, gaps filled in Bhutan
Bhutan: Ilo national vs modeled data, gaps filled was 3.36 in 2025. ▲ Rising
Ilo national vs modeled data, gaps filled in Bhutan, 1998–2025
Source: Statizoid (derived).
Analysis
In 2025, ilo national vs modeled data, gaps filled in Bhutan stood at 3.36.
Compared with earlier readings it is down 0.9% on the previous year and up 37.1% over ten years.
Over the whole period, ilo national vs modeled data, gaps filled in Bhutan peaked at 5.95 in 2022 and was at its lowest, 1.4, in 1998.
Bhutan ranks 136th of 185 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 28 years of available data.
Ilo national vs modeled data, gaps filled in Bhutan, year by year
| Year | Value | Change |
|---|---|---|
| 1998 | 1.4 | — |
| 1999 | 1.4 | +0.0% |
| 2000 | 1.65 | +17.9% |
| 2001 | 1.9 | +15.2% |
| 2002 | 1.85 | -2.6% |
| 2003 | 1.8 | -2.7% |
| 2004 | 2.49 | +38.6% |
| 2005 | 3.1 | +24.3% |
| 2006 | 3.13 | +0.9% |
| 2007 | 3.7 | +18.2% |
| 2008 | 3.83 | +3.5% |
| 2009 | 3.96 | +3.4% |
| 2010 | 3.3 | -16.7% |
| 2011 | 3.14 | -4.8% |
| 2012 | 2.05 | -34.6% |
| 2013 | 2.9 | +41.2% |
| 2014 | 2.63 | -9.3% |
| 2015 | 2.45 | -6.8% |
| 2016 | 2.75 | +12.2% |
| 2017 | 3.05 | +10.9% |
| 2018 | 3.35 | +9.8% |
| 2019 | 2.72 | -18.8% |
| 2020 | 5.03 | +84.9% |
| 2021 | 4.8 | -4.5% |
| 2022 | 5.95 | +23.8% |
| 2023 | 3.31 | -44.4% |
| 2024 | 3.39 | +2.4% |
| 2025 | 3.36 | -0.9% |
Bhutan compared with similar countries
- Bhutan's 3.36 is below the median for lower middle income countries, which is 5.03, 67% of the median. (42 countries reporting)
- Bhutan's 3.36 is below the median for South Asia, which is 4.41, 76% of the median. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1.4 | 1.4 | 1.4 | 2 |
| 2000s | 2.74 | 1.65 | 3.96 | 10 |
| 2010s | 2.83 | 2.05 | 3.35 | 10 |
| 2020s | 4.31 | 3.31 | 5.95 | 6 |
Countries ranked near Bhutan
More reference data data for Bhutan
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0217 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0671 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.1192 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0167 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.1192 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0727 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0153 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.3489 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.5881 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0909 (2050)
Frequently asked questions
- What is ilo national vs modeled data, gaps filled in Bhutan?
- Ilo national vs modeled data, gaps filled in Bhutan was 3.36 in 2025, according to Statizoid (derived).
- What is the highest ilo national vs modeled data, gaps filled recorded in Bhutan?
- The highest recorded value was 5.95 in 2022.
- What is the lowest ilo national vs modeled data, gaps filled recorded in Bhutan?
- The lowest recorded value was 1.4 in 1998.
- How does Bhutan rank for ilo national vs modeled data, gaps filled?
- Bhutan ranks 136th out of 185 countries with data for 2025.
- Is ilo national vs modeled data, gaps filled rising or falling in Bhutan?
- Over the last ten years it is up 37.1%. The long-run trend across the full record is rising.
- Where does this Bhutan data come from?
- The figures come from Statizoid (derived), published as part of Ilo national vs modeled data, gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 28 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Ilo national vs modeled data with 551 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Ilo national vs modeled data Our World in Data
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Ilo national vs modeled data with 551 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.