Protected

Survey on Income and Living Conditions EU-SILC 2018

From: Central Statistics Office
Times Requested:
Education Employment Family and Relationships Health Housing Social Welfare Population and Society

Description

The Survey on Income and Living Conditions (SILC) is primarily focused on the collection of information on the income and living conditions of different types of households and individuals in Ireland, in order to derive indicators on poverty, deprivation and social exclusion.
It is a voluntary survey (for selected households). Up until 2020 the SILC was carried out under EU legislation (Council Regulation No 1177/2003) and commenced in Ireland in June 2003. On 01/01/2021 Council Regulation No 1177/2003 was repealed by Regulation (EU) 2019/1700.

The EU-Statistics on Income and Living Conditions (EU-SILC) instrument is used as the EU reference source for comparative statistics on income distribution and social inclusion at national and European level. SILC is concerned with the measurement of income and living conditions of both households and individuals in Ireland.

The main poverty and social exclusion statistics presented are the ‘at risk of poverty’ (AROP) rate, the deprivation rate and the consistent poverty rate.

It provides two types of annual data for the 28 European Union countries, Iceland, Norway, Switzerland and Türkiye:
• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions, and
• Longitudinal data pertaining to individual-level changes over time, observed periodically over a two, three, four, five and six-year period.

A number of other key national indicators of poverty and social exclusion are also presented. Income statistics are primarily presented at national level, but they are also broken down by year and the following demographic characteristics;
• Sex
• Age Group
• Principal Economic Status
• Highest Education Level Attained
• Household Composition
• Number of persons at work in the household
• Tenure status
• Urban/rural location • Region Average income is also broken down by the composition of income.

Further distribution analysis of income is conducted through the calculation of the Gini coefficient, the quintile share ratio (QSR), quintile analysis and decile analysis.

Conditions for Re-Use

As per EU Data Governance Act, re-use must comply with: • EU and national laws protecting the data. • Technical and organisational measures to preserve confidentiality and integrity. • Anonymisation • Licensed by CC-BY 4.0

Coverage

Statistical Population: All private households and their current members residing in the state at the time of data collection. Principal Variables: Data on household and individual income as well as a number of key national poverty indicators. For example the At Risk of Poverty Rate, Enforced Deprivation Rate and Consistent Poverty Rate Main demographic characteristics: • Sex • Age Group • Principal Economic Status • Highest Education Level Attained • Household Composition • Number of persons at work in the household • Tenure status • Urban/rural location • Region

Protected Data Metadata

Fields Value
Access Rights restricted
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Data and Resources

This dataset has no data

Additional Info

Field Value
Sector
  • Education
  • Employment
  • Family and Relationships
  • Health
  • Housing
  • Social Welfare
  • Population and Society
Dataset Coverage Statistical Population: All private households and their current members residing in the state at the time of data collection. Principal Variables: Data on household and individual income as well as a number of key national poverty indicators. For example the At Risk of Poverty Rate, Enforced Deprivation Rate and Consistent Poverty Rate Main demographic characteristics: • Sex • Age Group • Principal Economic Status • Highest Education Level Attained • Household Composition • Number of persons at work in the household • Tenure status • Urban/rural location • Region
Primary Identifier This is an anonimised dataset with no external identifiers.
Personal Data No
Sensitive Personal Data No
Business Data No
Spatial Data
Data Sharing No
API Available No
Open Data No
Open Data Portal Link
Update frequency Annually
Contact Point
Contact Phone
Contact Email
Is a Protected dataset Yes
The Protected Dataset contact email
The conditions for re-use of the dataset As per EU Data Governance Act, re-use must comply with: • EU and national laws protecting the data. • Technical and organisational measures to preserve confidentiality and integrity. • Anonymisation • Licensed by CC-BY 4.0
The rights to access this data restricted
Eircode
Licenses