Monthly wages and salaries by place of residence in regions, counties, cities, parishes (according to borders at the beginning of 2024), neighbourhoods and densely populated areas (experimental statistics)

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Dataset information

Country of origin
Updated
2018.05.17 00:00
Created
2018.05.17
Available languages
English
Keywords
darbs, neto, apkaime, novads, pagasts, bat, blīvi apdzīvota teritorija, bruto, darba samaksa, pilsēta, reģions, administratīvā teritorija, ienākumi, alga, eksperimentālā statistika
Quality scoring

Dataset description

SRS data on wages from notifications of amounts disbursed to a natural person, micro-enterprise tax declarations, as well as reports on labour income of persons subject to seasonal agricultural worker income tax, personal income tax and mandatory State social insurance contributions (in 2011 only from notifications of amounts disbursed to a natural person). Income period expressed in months. The average monthly wage at the level of persons is calculated by summing up all selected income and dividing by the total number of months when there was income. Only employees who are at least 15 years old and whose average monthly wage exceeds the threshold (calculated using the national minimum hourly rate and assuming that the employee works for the employer for the whole calendar working day for at least one hour per day) are included: * EUR 36.99 in 2011; * EUR 45.00 in 2015; * EUR 47.00 in 2016; * EUR 49.00 in 2017; * €55.00 in 2018-2020; * €64.00 in 2021-2022. Employees are included in the territory by actual residence on 1 January of the following year, in 2011 at the time of the census. More on the assessment of monthly wages, population and key demographic indicators in experimental statistics [descriptive metadata] (https://stat.gov.lv/en/metadata/8113-population-number-and-main-demographic-raditaji-experimental-statistics). [Structural metadata](https://data.gov.lv/data/dataset/csp-strukturalie-metadati). The calculation of experimental statistics uses new data sources and methods, seeking to broaden the range or level of detail of statistics according to the needs of users. It should be noted that experimental statistical methods are not unchanged, approbated and internationally agreed and may be changed in order to improve data quality. The CSB publishes experimental statistics in order to receive user feedback, evaluate the analytical potential of the data, compliance with reality and user needs. The CSB considers that the time series of experimental data can also be useful for users and the opinion of users of statistics is the basis for the decision to include these statistics in the Official Statistics Programme. When publishing experimental statistics, the CSB provides data users with new sources of information for decision-making.
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