Lithuania - Personal Income





Lithuania: Personal Income

Mnemonic YP.ILTU
Unit EUR
Annual 8.01 %
Data 2017 441.1
2016 408.4

Series Information

Source Statistics Lithuania
Release Average disposable income - Regional
Frequency Annual
Start Date 12/31/2005
End Date 12/31/2017

Lithuania: Consumer

Reference Last Previous Units Frequency
Consumer Confidence Jul 2019 6.4 7.8 SA Monthly
Retail Sales May 2019 1,432,133 1,423,081 Ths. EUR, NSA Monthly
Personal Income 2017 441.1 408.4 EUR Annual

Release Information

The dataset provides region-wise information on average disposable income per capita per month. Income includes both components received in cash and kind. This indicator helps in determining the amount of money available to individuals for spending and saving after meeting their income taxes. European Union’s at-risk-of-poverty indicators are based on disposable income.

The current dataset sourced from table M308104 presents results of the Survey on Income and Living Conditions (EU-SILC). This survey has been carried out in Lithuania since 2005 and since 2007 the data are broken down by counties.

The discontinued dataset sourced from table M309104 presents results of the Household Budget Survey (HBS). Data on income in the HBS are collected on a monthly basis, only income from agricultural activity is collected for the last 12 months.

Data on income in the EU-SILC are collected for the last calendar year; data from interviews are combined with data extracted from administrative sources. EU-SILC does not include non-regular income, transfers from other households received, compensation for medicine, free meals for schoolchildren, and benefits for children in pre-school education institutions for single parents. All of the above mentioned is included in disposable income in the HBS. This change was made in order to achieve higher comparability between EU member states. For this reason, data on income derived from the EU-SILC are not fully comparable with those from the HBS.

The data is subject to revisions.

  • The series in DataBuffet are time shifted back one year relative to the as-reported data. This is because the source reports the data according to the survey year, as opposed to the year that the survey describes.
  • For example, the 2013 as reported data point provides data that was collected in the 2013 survey, but the 2013 survey describes conditions as they were in 2012. Hence we place the as reported-2013 data point in 2012.