NEET: Youth not in employment, education or training (ILO modelled) in Bhutan
Bhutan: NEET: Youth not in employment, education or training (ILO modelled) was -1.06 % change on previous year in 2027. ◆ Volatile
NEET: Youth not in employment, education or training (ILO modelled) in Bhutan, 2006–2027
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2027, neet: youth not in employment, education or training (ilo modelled) in Bhutan stood at -1.06 % change on previous year.
That represents a change of down 18.9% on the previous year and down 546.6% over ten years.
Over the whole period, neet: youth not in employment, education or training (ilo modelled) in Bhutan peaked at 76.84 % change on previous year in 2022 and was at its lowest, -32.25 % change on previous year, in 2019.
That places Bhutan 172nd out of 188 countries with data for 2027, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
NEET: Youth not in employment, education or training (ILO modelled) in Bhutan, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 2006 | 1.3 % change on previous year | — |
| 2007 | 4.5 % change on previous year | +245.7% |
| 2008 | 1.01 % change on previous year | -77.5% |
| 2009 | 1.38 % change on previous year | +35.9% |
| 2010 | 3.19 % change on previous year | +131.9% |
| 2011 | 1.88 % change on previous year | -41.2% |
| 2012 | 3.93 % change on previous year | +109.6% |
| 2013 | 3.85 % change on previous year | -2.2% |
| 2014 | -0.6499 % change on previous year | -116.9% |
| 2015 | -6.16 % change on previous year | +847.3% |
| 2016 | -0.6397 % change on previous year | -89.6% |
| 2017 | -0.1643 % change on previous year | -74.3% |
| 2018 | 0.6227 % change on previous year | -479.0% |
| 2019 | -32.25 % change on previous year | -5279.9% |
| 2020 | 13.91 % change on previous year | -143.1% |
| 2021 | -20.82 % change on previous year | -249.7% |
| 2022 | 76.84 % change on previous year | -469.1% |
| 2023 | 14.39 % change on previous year | -81.3% |
| 2024 | 1.83 % change on previous year | -87.3% |
| 2025 | -0.9236 % change on previous year | -150.5% |
| 2026 | -0.8932 % change on previous year | -3.3% |
| 2027 | -1.06 % change on previous year | +18.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 2.05 % change on previous year | 1.01 % change on previous year | 4.5 % change on previous year | 4 |
| 2010s | -2.64 % change on previous year | -32.25 % change on previous year | 3.93 % change on previous year | 10 |
| 2020s | 10.41 % change on previous year | -20.82 % change on previous year | 76.84 % change on previous year | 8 |
Countries ranked near Bhutan
- 169 Brazil -0.866 % change on previous year compare
- 170 Barbados -1.01 % change on previous year compare
- 171 Nepal -1.04 % change on previous year compare
- 173 Bosnia and Herzegovina -1.11 % change on previous year compare
- 174 French Polynesia -1.14 % change on previous year compare
- 175 Belize -1.19 % change on previous year compare
More work & labour data for Bhutan
- Population - Est. & Proj. — Total Population - Both sexes, annual -0.7164 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Male, annual growth -0.6963 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Female, annual growth -0.7381 % change on previous year (2100)
- Population - Est. & Proj. — Rural population, annual growth rate -0.816 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate 0.9406 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 573.27 1000 No (2050)
- Population - Est. & Proj. — Rural population 420.94 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 334.32 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 356.11 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 690.43 1000 No (2100)
Frequently asked questions
- What is neet: youth not in employment, education or training (ilo modelled) in Bhutan?
- Neet: youth not in employment, education or training (ilo modelled) in Bhutan was -1.06 % change on previous year in 2027, according to Statizoid (derived).
- What is the highest neet: youth not in employment, education or training (ilo modelled) recorded in Bhutan?
- The highest recorded value was 76.84 % change on previous year in 2022.
- What is the lowest neet: youth not in employment, education or training (ilo modelled) recorded in Bhutan?
- The lowest recorded value was -32.25 % change on previous year in 2019.
- How does Bhutan rank for neet: youth not in employment, education or training (ilo modelled)?
- Bhutan ranks 172nd out of 188 countries with data for 2027.
- Is neet: youth not in employment, education or training (ilo modelled) rising or falling in Bhutan?
- Over the last ten years it is down 546.6%. The long-run trend across the full record is volatile.
- Where does this Bhutan data come from?
- The figures come from Statizoid (derived), published as part of NEET: Youth not in employment, education or training (ILO modelled estimates), annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 22 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in NEET: Youth not in employment, education or training (ILO modelled estimates). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- NEET: Youth not in employment, education or training International Labour Organization
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
The year-on-year percentage change in NEET: Youth not in employment, education or training (ILO modelled estimates). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.