NEET: Youth not in employment, education or training (ILO modelled) in Serbia
Serbia: NEET: Youth not in employment, education or training (ILO modelled) was -0.7182 % change on previous year in 2027. ◆ Volatile
NEET: Youth not in employment, education or training (ILO modelled) in Serbia, 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 Serbia stood at -0.7182 % change on previous year.
The figure is down 21.2% on the previous year and up 83.6% over ten years.
Over the whole period, neet: youth not in employment, education or training (ilo modelled) in Serbia peaked at 6.25 % change on previous year in 2008 and was at its lowest, -21.58 % change on previous year, in 2022.
That places Serbia 167th 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 Serbia, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 2006 | -3.06 % change on previous year | — |
| 2007 | -8.17 % change on previous year | +166.9% |
| 2008 | 6.25 % change on previous year | -176.5% |
| 2009 | 4.1 % change on previous year | -34.3% |
| 2010 | -3.93 % change on previous year | -195.9% |
| 2011 | -0.1682 % change on previous year | -95.7% |
| 2012 | -2.32 % change on previous year | +1280.1% |
| 2013 | -11.5 % change on previous year | +395.2% |
| 2014 | 2.9 % change on previous year | -125.2% |
| 2015 | -5.66 % change on previous year | -295.4% |
| 2016 | -13.25 % change on previous year | +134.1% |
| 2017 | -4.39 % change on previous year | -66.9% |
| 2018 | -4.87 % change on previous year | +11.0% |
| 2019 | -9.14 % change on previous year | +87.8% |
| 2020 | 1.66 % change on previous year | -118.2% |
| 2021 | 1.7 % change on previous year | +2.2% |
| 2022 | -21.58 % change on previous year | -1370.1% |
| 2023 | -6.74 % change on previous year | -68.8% |
| 2024 | 0.8976 % change on previous year | -113.3% |
| 2025 | -0.3706 % change on previous year | -141.3% |
| 2026 | -0.5926 % change on previous year | +59.9% |
| 2027 | -0.7182 % change on previous year | +21.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.2197 % change on previous year | -8.17 % change on previous year | 6.25 % change on previous year | 4 |
| 2010s | -5.23 % change on previous year | -13.25 % change on previous year | 2.9 % change on previous year | 10 |
| 2020s | -3.22 % change on previous year | -21.58 % change on previous year | 1.7 % change on previous year | 8 |
Countries ranked near Serbia
- 164 Netherlands -0.6323 % change on previous year compare
- 165 Montenegro -0.6752 % change on previous year compare
- 166 El Salvador -0.7057 % change on previous year compare
- 168 Syrian Arab Republic -0.8579 % change on previous year compare
- 169 Brazil -0.866 % change on previous year compare
- 170 Barbados -1.01 % change on previous year compare
More work & labour data for Serbia
- Population - Est. & Proj. — Total Population - Both sexes, annual -0.7737 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Male, annual growth -0.7205 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Female, annual growth -0.8268 % change on previous year (2100)
- Population - Est. & Proj. — Rural population, annual growth rate -2.14 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate 0.1128 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 5,121 1000 No (2050)
- Population - Est. & Proj. — Rural population 2,326 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 1,850 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 1,852 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 3,702 1000 No (2100)
Frequently asked questions
- What is neet: youth not in employment, education or training (ilo modelled) in Serbia?
- Neet: youth not in employment, education or training (ilo modelled) in Serbia was -0.7182 % 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 Serbia?
- The highest recorded value was 6.25 % change on previous year in 2008.
- What is the lowest neet: youth not in employment, education or training (ilo modelled) recorded in Serbia?
- The lowest recorded value was -21.58 % change on previous year in 2022.
- How does Serbia rank for neet: youth not in employment, education or training (ilo modelled)?
- Serbia ranks 167th out of 188 countries with data for 2027.
- Is neet: youth not in employment, education or training (ilo modelled) rising or falling in Serbia?
- Over the last ten years it is up 83.6%. The long-run trend across the full record is volatile.
- Where does this Serbia 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.