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Selected data on statistical regions, Slovenia, annually
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Contact and information

Information

Latest update
4/11/2024
Contact
Statistical Office of the Republic of Slovenia, T: +386 1 241 64 04, E: gp.surs@gov.si
Unit
various units of measurement
Source
Statistical Office of the Republic of Slovenia
Footnotes

Footnotes


STATISTICAL REGION
Data are territorially classified according to The Classification of Territorial Units for Statistics – NUTS, (description and explanations), level NUTS 3. Data on changes of individual regions are written at each changed region and are available by clicking the notes icon (asterisk). In notes at the beginning there is the date when the described territorial change was taken into account in the territorial classification of units for statistical purposes.
MEASURES
Population - Total - 1 January
Methodological explanations
Population - Total - 1 July
Methodological explanations
Population - Men - 1 January
Methodological explanations
Population - Men - 1 July
Methodological explanations
Population - Women - 1 January
Methodological explanations
Population - Women - 1 July
Methodological explanations
Proportion of population aged 0-14 (%) - 1 January
Methodological explanations
Proportion of population aged 15-64 (%) - 1 January
Methodological explanations
Proportion of population aged 65 or more (%) - 1 January
Methodological explanations
Natural increase
Methodological explanations
Total increase
Methodological explanations
Live births - Total - 1 January
Methodological explanations
Live births per 1,000 population
Methodological explanations
Deaths - Total - 1 January
Methodological explanations
Deaths per 1,000 population
Methodological explanations
Natural increase per 1,000 population
Methodological explanations
Total net migration per 1,000 population
Methodological explanations
Total increase per 1,000 population
Methodological explanations
Mean age (years) - 1 January
Methodological explanations
Mean age (years) - 1 July
Methodological explanations
Ageing index - 1 January
Methodological explanations
Ageing index - 1 July
Methodological explanations
Ageing index for men - 1 January
Methodological explanations
Ageing index for men - 1 July
Methodological explanations
Ageing index for women - 1 January
Methodological explanations
Ageing index for women - 1 July
Methodological explanations
Number of kindergartens
Data for a specific year (e.g. 2009) refer to the school year 2009/2010.
Number of kindergartens
Methodological explanations
Number of children in kindergartens (by pre-school provider)
Data for a specific year (e.g. 2009) refer to the school year 2009/2010.
Number of children in kindergartens (by pre-school provider)
Methodological explanations
Children aged 1 - 5 in kindergartens (%)
Data for a specific year (e.g. 2009) refer to the school year 2009/2010.
Children aged 1 - 5 in kindergartens (%)
Methodological explanations
Number of pupils
Data for a specific year (e.g. 2009) refer to the school year 2009/2010.
Number of pupils
Pupils in basic schools.
Number of pupils
Methodological explanations
Number of upper secondary school pupils (by residence)
The total also includes pupils with permanent residence abroad.
Number of upper secondary school pupils (by residence)
Data for a specific year (e.g. 2009) refer to the school year 2009/2010.
Number of upper secondary school pupils (by residence)
Methodological explanations
Number of tertiary students (by residence)
The total also includes students with an unknown region of residence and with permanent residence abroad.
Number of tertiary students (by residence)
Data for a specific year (e.g. 2009) refer to the school year 2009/2010.
Number of tertiary students (by residence)
Methodological explanations
Tertiary students per 1,000 population
Data for a specific year (e.g. 2009) refer to the school year 2009/2010.
Tertiary students per 1,000 population
Methodological explanations
Number of graduates
Included are graduates with permanent residence unknown or abroad.
Number of graduates
Methodological explanations
Tertiary graduates per 1,000 population
Included are graduates with permanent residence unknown or abroad.
Tertiary graduates per 1,000 population
Methodological explanations
Number of persons in employment (by residence)
Methodological explanations
Number of persons in employment (by work place)
Methodological explanations
Number of persons in paid employment (by work place)
Methodological explanations
Number of self-employed persons (by work place)
Methodological explanations
Employment rate (%)
Methodological explanations
Employment rate (%)
Registry data
Unemployment rate (%)
Methodological explanations
Average monthly gross earnings per person (EUR)
Methodological explanations
Average monthly net earnings per person (EUR)
Methodological explanations
Average monthly gross earnings (index SI=100)
Methodological explanations
Average monthly net earnings (index SI=100)
Methodological explanations
Number of enterprises
Methodological explanations
Turnover of enterprises (1,000 EUR)
Methodological explanations
Number of dwellings - 1 January
Methodological explanations
Number of dwellings per 1,000 population
Methodological explanations
Share of dwellings with three or more rooms (%)
Methodological explanations
Average useful floor space (m2) of dwellings
Methodological explanations
Number of passenger cars - 31 December
Methodological explanations
Number of passenger cars per 1000 inhabitants - 31 December
Methodological explanations
Average age of passenger cars - 31 December
Methodological explanations
Municipal waste collected by public waste removal scheme (tons)
From 2012 on, due to changes in the methodology, the data on generated municipal waste were supplemented with data on the quantities of municipal waste collected by other waste collectors. From 2013 on, the data on municipal waste generated were upgraded with quantities of exported municipal waste and temporary storaged municipal waste generated in production and service activities.
Municipal waste collected by public waste removal scheme (tons)
Methodological explanations
Municipal waste collected by public waste removal scheme (kg/capita per year)
From 2012 on, due to changes in the methodology, the data on generated municipal waste were supplemented with data on the quantities of municipal waste collected by other waste collectors. From 2013 on, the data on municipal waste generated were upgraded with quantities of exported municipal waste and temporary storaged municipal waste generated in production and service activities.
Municipal waste collected by public waste removal scheme (kg/capita per year)
Methodological explanations
Exports of goods (1,000 EUR)
The data for Slovenia also contain 'unknown', so the total by region is not the same as the data for Slovenia.
Exports of goods (1,000 EUR)
Methodological explanations
Imports of goods (1,000 EUR)
The data for Slovenia also contain 'unknown', so the total by region is not the same as the data for Slovenia.
Imports of goods (1,000 EUR)
Methodological explanations
Number of exporters
The data for Slovenia also contain 'unknown', so the total by region is not the same as the data for Slovenia.
Number of exporters
As the methodology of presenting data for enterprises in region “Unknown” has changed over the years, the data in this region are not fully comparable between the years.
Number of exporters
Methodological explanations
Number of exporters
Data for 2022 are provisional.
Number of importers
The data for Slovenia also contain 'unknown', so the total by region is not the same as the data for Slovenia.
Number of importers
As the methodology of presenting data for enterprises in region “Unknown” has changed over the years, the data in this region are not fully comparable between the years.
Number of importers
Methodological explanations
Number of importers
Data for 2022 are provisional.
Proportion of value of exported goods (%)
The data for Slovenia also contain 'unknown', so the total by region is not the same as the data for Slovenia.
Proportion of value of exported goods (%)
Methodological explanations
Proportion of value of imported goods (%)
The data for Slovenia also contain 'unknown', so the total by region is not the same as the data for Slovenia.
Proportion of value of imported goods (%)
Methodological explanations
Proportion of exporters of goods (enterprises), %
The data for Slovenia also contain 'unknown', so the total by region is not the same as the data for Slovenia.
Proportion of exporters of goods (enterprises), %
As the methodology of presenting data for enterprises in region “Unknown” has changed over the years, the data in this region are not fully comparable between the years.
Proportion of exporters of goods (enterprises), %
Methodological explanations
Proportion of exporters of goods (enterprises), %
Data for 2022 are provisional.
Proportion of importers of goods (enterprises), %
The data for Slovenia also contain 'unknown', so the total by region is not the same as the data for Slovenia.
Proportion of importers of goods (enterprises), %
As the methodology of presenting data for enterprises in region “Unknown” has changed over the years, the data in this region are not fully comparable between the years.
Proportion of importers of goods (enterprises), %
Methodological explanations
Proportion of importers of goods (enterprises), %
Data for 2022 are provisional.
Investment in fixed assets (1,000 EUR)
Methodological explanations
Regional gross domestic product (mio EUR)
Methodological explanations
Regional gross domestic product per capita (EUR, current rate)
Methodological explanations
Current expenditure for environmental protection (1,000 EUR)
Methodological explanations
Gross fixed capital formation for environmental protection (1,000 EUR)
Methodological explanations
Bedplaces
Methodological explanations
Tourist arrivals
Methodological explanations
Overnight stays
Methodological explanations
Number of agricultural holdings
Methodological explanations
Utilised agricultural area (UAA)
Methodological explanations
Utilised agricultural area (UAA)
Common grassland is not included.
Proportion of population aged 25-64 with basic education or less
Methodological explanations
Proportion of population aged 25-64 with basic education or less
As of 1. 1.
Proportion of population aged 25-64 with basic education or less
Included residents without education or with incomplete primary or primary school.
Proportion of population aged 25-64 with basic education or less
Data on education in Slovenia as of 1 January 2011 are produced also according to the Regulation (EC) No. 763/2008 of the European Parliament and the Council of 9 July 2008 on Population and Housing Censuses, Official Journal of the European Union L 218/14, 13 August, 2008.
Proportion of population aged 25-64 with basic education or less
Data on education as of 1 January 2021 in Slovenia are produced also according to the Commission Regulation (EU) No. 2017/712 of 20 April 2017 establishing the reference year and the programme of the statistical data and metadata for population and housing censuses provided for by Regulation (EC) No 763/2008 of the European Parliament and of the Council.
Proportion of population aged 25-64 with tertiary education
Methodological explanations
Proportion of population aged 25-64 with tertiary education
As of 1. 1.
Proportion of population aged 25-64 with tertiary education
Data on education in Slovenia as of 1 January 2011 are produced also according to the Regulation (EC) No. 763/2008 of the European Parliament and the Council of 9 July 2008 on Population and Housing Censuses, Official Journal of the European Union L 218/14, 13 August, 2008.
Proportion of population aged 25-64 with tertiary education
Data on education as of 1 January 2021 in Slovenia are produced also according to the Commission Regulation (EU) No. 2017/712 of 20 April 2017 establishing the reference year and the programme of the statistical data and metadata for population and housing censuses provided for by Regulation (EC) No 763/2008 of the European Parliament and of the Council.
Gross value added in agriculture, forestry and fishing (region=100%)
Methodological explanations
Gross value added in agriculture, forestry and fishing (region=100%)
NACE 2008: A - Agriculture, forestry and fishing
Gross value added in industry (region=100%)
Methodological explanations
Gross value added in industry (region=100%)
NACE 2008: B_F.
Gross value added in service activities (region=100%)
Methodological explanations
Gross value added in service activities (region=100%)
NACE 2008: G_U.
Gross domestic expenditure on R&D (% of regional GDP)
Due to methodological changes (including statistical data protection) made in the R&D survey for 2017, which had a substantial impact on the values of some data, some data for 2017 are not fully comparable with the data for the previous years.
Gross domestic expenditure on R&D (% of regional GDP)
Methodological explanations
STATISTICAL REGION
SLOVENIA
Seštevki se zaradi zaokroževanja ne ujemajo vedno.
Posavska
Slovenija s spremenjeno UredbO (ES) št. 1319/2013 uveljavlja spremembo imen dveh NUTS 3 regij (statističnih regij): notranjsko-kraška se preimenuje v primorsko-notranjsko, spodnjeposavska se preimenuje v posavsko. Podrobnejše informacije so dostopne tu: https://www.stat.si/dokument/8484/Spremembe-statisticnih-regij.pdf
Primorsko-notranjska
Slovenija s spremenjeno UredbO (ES) št. 1319/2013 uveljavlja spremembo imen dveh NUTS 3 regij (statističnih regij): notranjsko-kraška se preimenuje v primorsko-notranjsko, spodnjeposavska se preimenuje v posavsko. Podrobnejše informacije so dostopne tu: https://www.stat.si/dokument/8484/Spremembe-statisticnih-regij.pdf