Database descriptions, statistical standards (resolutions and guidelines), and guides and manuals – all the metadata to better understand the labour statistics presented on ILOSTAT.
LMIS are important for employment policies, but limitations in developing economies hinder their effectiveness. Limited resources, weak institutions, and lack of data affect policy formulation and monitoring, leading to inadequate development outcomes. In these contexts, strengthening LMIS is necessary for informed and effective policies. Learn more about how the ILO can help.
Frequently Asked Questions
A labour market information system is a network of institutions, persons and information that have mutually recognized roles, agreements and functions with respect to the production, storage, dissemination and use of labour market related information and results in order to maximise the potential for relevant and applicable policy and programme formulation and implementation.
The main purpose of LMIS is the production of information and analysis for policy makers and other labour market stakeholders. For example, the functions of the European Employment Observatory are stated as follows: “The European Employment Observatory contributes to the development of the European Employment Strategy through the provision of information, comparative research and evaluation on employment policies and labour market trends.” It is important to establish institutional arrangements in order to make the information and analysis widely available, and to provide opportunities for labour market stakeholders to influence the agenda of the LMIS.
The LMIS can also be directly involved in monitoring and reporting on employment and labour policies. Both at the international and national levels, the institutional role of the LMIS can be broadened to include the exchange of information or coordination of the LMIS activities of labour market stakeholders, which include statistical agencies, research agencies and agencies involved in policy formulation and implementation, including and workers’ and employers’ organizations. This function may range from the dissemination of information on concepts, definitions and standards, to the allocation of resources regarding data collection or specific analytical activities.
Three main functions of labour market information systems include:
(1) Facilitating labour market analysis;
(2) Providing the basis for monitoring and reporting on employment and labour policies; and
(3) Serving as a mechanism to exchange information or coordinate different actors and institutions that produce and utilize labour market information and analysis.
Labour market information systems consist of four main components:
(1) Collection and compilation of data and information;
(2) Repository of information;
(3) Analytical capacity and tools; and
(4) Institutional arrangements and networks.
Regarding the first component, and given that LMIS should provide analyses of labour markets in their economic context, collection or compilation of data consists not only of data on labour markets, but also on the broader economy. For example, data on trade flows and remittances are indispensable for an analysis of the labour market effects on economic crises.
Effective LMIS draw on all major data sources. Each source has advantages and limitations in terms of the cost, quality and type of information gained.
Labour force surveys can be designed to cover the entire population of a country, all sectors of the economy and all categories of workers, including own-account workers, contributing family workers and persons engaged in casual work. For this reason, household-based labour force surveys offer a unique advantage to obtain information on the labour market of a country and its structure. Other sources, such as population censuses, multi-purpose household surveys, establishment surveys, or administrative records (e.g., employment service records), differ in scope, coverage, units of measurement or methods of data collection.
Meanwhile, establishment surveys typically have poor coverage of very small or unregistered businesses but are a more reliable source on wages and earnings. Similarly, administrative records provide a low-cost source of labour market information, but this information is limited by the purpose of the records, which may be different from that of an analyst or policy maker.
At a minimum, LMIS track a set of indicators, which constitute the basis for the development of more advanced systems. A widely-used set of indicators are the Decent Work Indicators (DWI). DWI cover the four dimensions of the ILO’s Decent Work Agenda, plus indicators of the economic and social context.
What we offer
We can provide a solution for storage and dissemination of LMIS indicators with .Stat. This powerful platform is available for member States implementing LMIS through an agreement between ILO and OECD and the Statistical Information Systems – Collaboration Community (SIS-CC).
Institutional arrangements are needed for the LMIS to effectively perform its analytical function, for example by providing access to data (from statistical agencies, administrative bodies and other entities), but also to allow for the effective dissemination of information and analysis. An example of a straightforward institutional arrangement is the establishment of an LMIA Advisory Panel, joining policy-makers, the statistical agency and workers’ and employers’ organizations.
High quality product: .Stat is one of the most advanced statistical information systems’ platform currently used in the official statistics community.
Affordable investment: Under the “umbrella” of ILO’s membership to the SIS-CC, a country implementing a LMIS can use the product and receive first level support and free upgrades. The only investment required to the country are the expenses associated to the deployment of the platform and training on .Stat administration and data/metadata management.
Community values: The SIS-CC promotes a series of values that are aligned with ILO principles, like partnership (collaboration rather than a vendor/client relationship), transparency (information openly and transparently shared among members), commitment (to respecting the coordinated work plans put in place), industrialisation (outputs developed according to best practices in application lifecycle management), and standards (foster and promote internationally-defined standards, such as SDMX, GSBPM, GSIM, and CSPA).
Sustainability: The collaborative approach for development, and the number of institutions using the software minimize the risk of support or further development being interrupted, an inconvenient situation that unfortunately is quite common when contracting external developers.
.Stat main functions
Data entry: A web based application to process and load data into the Data Warehouse. Data can be in csv, .txt, .xml or sdmx* format.
Data storage: Based on Microsoft SQL server and a standard star schema data warehouse technology.
Data exit: A single exit point serves all outputs from the Data Warehouse exposing the data to several dissemination tools through a set of Web services.
Data analysis: .Stat allows for the extracting of data to various analytical tools for further data analysis.
The project was launched in December 2018, led by Instituto Nacional de Estadística (INE) and with local assistance by the ILO Country Office in Santiago.
The SIMEL at El Salvador was launched in December 2021, led by the Ministerio de Trabajo y Previsión Social (MTPS).