Labour market - FUAs — Employment in Armenia
Armenia: Labour market - FUAs — Employment was 166,330 Persons in 2023. ▲ Rising
Labour market - FUAs — Employment in Armenia, 2001–2023
Source: Organisation for Economic Co-operation and Development. Measured in Persons.
Analysis
In 2023, labour market - fuas — employment in Armenia stood at 166,330 Persons.
That represents a change of down 2.9% on the previous year and up 0.4% over ten years.
Over the whole period, labour market - fuas — employment in Armenia peaked at 173,697 Persons in 2018 and was at its lowest, 143,476 Persons, in 2020.
The long-run direction has been consistently rising across the 23 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 148,955 Persons | 144,598 Persons | 152,672 Persons | 9 |
| 2010s | 167,836 Persons | 153,423 Persons | 173,697 Persons | 10 |
| 2020s | 159,913 Persons | 143,476 Persons | 171,382 Persons | 4 |
Countries ranked near Armenia
- 1 Luxembourg 322,928 Persons compare
- 2 Malta 297,548 Persons compare
More work & labour data for Armenia
- Population - Est. & Proj. — Rural population, annual growth rate -2.13 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate 0.0634 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 2,005 1000 No (2050)
- Population - Est. & Proj. — Rural population 695.21 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 854.22 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 837.98 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 1,692 1000 No (2100)
- Population - Est. & Proj. — Rural population, per unit of GDP 0 1000 No per US$ of GDP (2025)
- Population - Est. & Proj. — Rural population, per capita 0.0003 1000 No per person (2025)
- Population - Est. & Proj. — Urban population, per unit of GDP 0 1000 No per US$ of GDP (2025)
Frequently asked questions
- What is labour market - fuas — employment in Armenia?
- Labour market - fuas — employment in Armenia was 166,330 Persons in 2023, according to Organisation for Economic Co-operation and Development.
- What is the highest labour market - fuas — employment recorded in Armenia?
- The highest recorded value was 173,697 Persons in 2018.
- What is the lowest labour market - fuas — employment recorded in Armenia?
- The lowest recorded value was 143,476 Persons in 2020.
- How does Armenia rank for labour market - fuas — employment?
- Armenia ranks 3rd out of 3 countries with data for 2023.
- Is labour market - fuas — employment rising or falling in Armenia?
- Over the last ten years it is up 0.4%. The long-run trend across the full record is rising.
- Where does this Armenia data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Labour market - FUAs — Employment. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 23 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
<p align="justify">This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate.</p> <h3>Data sources and methodology</h3> <p align="justify"> When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. employment) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, labour market data is available at the county-level (<a href=https://www.bls.gov/lau/#cntyaa>US Bureau of Labor Statistics</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dx">Labour market - FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>