Ilo national vs modeled data, gaps filled in Nepal
Nepal: Ilo national vs modeled data, gaps filled was 10.66 in 2017. ◆ Volatile
Ilo national vs modeled data, gaps filled in Nepal, 1996–2017
Source: Statizoid (derived).
Analysis
In 2017, ilo national vs modeled data, gaps filled in Nepal stood at 10.66. That is the highest value across all 12 years on record.
Compared with earlier readings it is up 54.9% on the previous year and up 673.6% over ten years.
Over the whole period, ilo national vs modeled data, gaps filled in Nepal peaked at 10.66 in 2017 and was at its lowest, 1.38, in 2008.
That places Nepal 27th out of 185 countries with data for 2017, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Ilo national vs modeled data, gaps filled in Nepal, year by year
| Year | Value | Change |
|---|---|---|
| 1996 | 4.5 | — |
| 1997 | 3.62 | -19.7% |
| 1998 | 2.73 | -24.5% |
| 1999 | 1.85 | -32.4% |
| 2000 | 1.75 | -4.9% |
| 2001 | 1.66 | -5.2% |
| 2002 | 1.57 | -5.5% |
| 2003 | 1.48 | -5.8% |
| 2008 | 1.38 | -7.0% |
| 2015 | 3.1 | +125.0% |
| 2016 | 6.88 | +121.9% |
| 2017 | 10.66 | +54.9% |
Nepal compared with similar countries
- Nepal's 10.66 is above the median for lower middle income countries, which is 5.03, 2.1× the median. (42 countries reporting)
- Nepal's 10.66 is above the median for South Asia, which is 4.41, 2.4× the median. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 3.17 | 1.85 | 4.5 | 4 |
| 2000s | 1.57 | 1.38 | 1.75 | 5 |
| 2010s | 6.88 | 3.1 | 10.66 | 3 |
Countries ranked near Nepal
- 24 Northern Mariana Islands 11.17 compare
- 25 Dominica 10.96 compare
- 26 Bosnia and Herzegovina 10.71 compare
- 28 Spain 10.5 compare
- 29 Mauritania 10.42 compare
- 30 Angola 10.39 compare
More reference data data for Nepal
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7753 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.5 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.14 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.7853 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.14 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.6 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.7974 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 11.28 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 19.44 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 4.28 (2050)
Frequently asked questions
- What is ilo national vs modeled data, gaps filled in Nepal?
- Ilo national vs modeled data, gaps filled in Nepal was 10.66 in 2017, according to Statizoid (derived).
- What is the highest ilo national vs modeled data, gaps filled recorded in Nepal?
- The highest recorded value was 10.66 in 2017.
- What is the lowest ilo national vs modeled data, gaps filled recorded in Nepal?
- The lowest recorded value was 1.38 in 2008.
- How does Nepal rank for ilo national vs modeled data, gaps filled?
- Nepal ranks 27th out of 185 countries with data for 2017.
- Is ilo national vs modeled data, gaps filled rising or falling in Nepal?
- Over the last ten years it is up 673.6%. The long-run trend across the full record is volatile.
- Where does this Nepal 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 — 12 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.