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Selected data on statistical regions, Slovenia, annually

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Statistical Office of the Republic of Slovenia, T: +386 1 241 64 04, E: gp.surs@gov.si
23/04/2025
various units of measurement
Statistical Office of the Republic of Slovenia
Now you have come to the page, Choose variable. This page give you the oportunity to select which variables and values you want to display in your result of the table. A variable is a property of a statistical unit. The page is divided into several boxes, one for each variable, where you can select values by click to highlight one or more values. It always starts with the statistics variable which is the main value counted in the table.
Mandatory
Field for searching for a specific value in the list box. This is examples of values you can search for.Surface area (sq. km) - 1 January , Population - Total - 1 January , Population - Total - 1 July ,

Selected 0 of total 83

Mandatory
Field for searching for a specific value in the list box. This is examples of values you can search for.SLOVENIA , Pomurska , Podravska ,

Selected 0 of total 13

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Field for searching for a specific value in the list box. This is examples of values you can search for.2008 , 2009 , 2010 ,

Selected 1 of total 17

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Notes

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)

The source of data until 2023 is ZAP/M, and for 2024 REK-O. The data are not comparable.

Average monthly gross earnings per person (EUR)

Methodological explanations

Average monthly net earnings per person (EUR)

The source of data until 2023 is ZAP/M, and for 2024 REK-O. The data are not comparable.

Average monthly net earnings per person (EUR)

Methodological explanations

Average monthly gross earnings (index SI=100)

The source of data until 2023 is ZAP/M, and for 2024 REK-O. The data are not comparable.

Average monthly gross earnings (index SI=100)

Methodological explanations

Average monthly net earnings (index SI=100)

The source of data until 2023 is ZAP/M, and for 2024 REK-O. The data are not comparable.

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 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

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 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

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

Because of rounding, the totals do not always add up.

Posavska

With the amandmend of the Regulation (EC) No. 1319/2013 the names of two NUTS 3 regios has been changed, namely Notranjsko-kraška is renamed to Primorsko-notranjska and Spodnjeposavska is renamed to Posavska. More detailed information is available here: https://www.stat.si/dokument/8486/Explanations-territorial-changes-statistical-regions.pdf

Primorsko-notranjska

With the amandmend of the Regulation (EC) No. 1319/2013 the names of two NUTS 3 regios has been changed, namely Notranjsko-kraška is renamed to Primorsko-notranjska and Spodnjeposavska is renamed to Posavska. More detailed information is available here: https://www.stat.si/dokument/8486/Explanations-territorial-changes-statistical-regions.pdf

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.