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Gross value added of the Industry. By branches of activity. Counties

Gross value added (GVA) (p). Industry. Millions of euros. Counties 2019
Mining industries, water, energy and waste Food, textiles, wood, graphic arts, chemicals and rubber Metallurgy, machinery, electrical materials and transport Total
Alt Camp 49.3 349.5 252.4 651.2
Alt Empordà 79.3 148.3 143.3 370.9
Alt Penedès 49.6 790.7 298.9 1,139.3
Alt Urgell 14.3 16.3 15.8 46.3
Alta Ribagorça 10.7 1.7 1.4 13.8
Anoia 121.8 417.5 287.6 826.9
Aran 22.5 1.5 2.1 26.1
Bages 142.4 457.9 787.5 1,387.8
Baix Camp 234.6 251.6 280.5 766.7
Baix Ebre 65.4 130.5 52.2 248.0
Baix Empordà 42.4 105.1 85.8 233.3
Baix Llobregat 407.6 1,913.7 4,295.6 6,616.9
Baix Penedès 59.3 122.4 156.0 337.7
Barcelonès 2,836.5 2,309.2 2,052.8 7,198.5
Berguedà 39.4 187.3 45.5 272.3
Cerdanya 11.0 4.9 3.4 19.3
Conca de Barberà 35.7 94.9 156.8 287.4
Garraf 37.1 74.9 173.9 285.8
Garrigues 48.9 29.7 27.8 106.4
Garrotxa 46.8 427.2 199.7 673.7
Gironès 86.9 688.0 240.1 1,015.0
Maresme 144.0 869.7 412.7 1,426.4
Moianès 2.8 100.6 8.2 111.5
Montsià 24.2 135.0 95.8 255.0
Noguera 33.1 75.3 69.7 178.2
Osona 91.7 888.1 681.3 1,661.1
Pallars Jussà 25.0 5.4 2.5 32.9
Pallars Sobirà 16.2 4.2 1.2 21.6
Pla d'Urgell 44.1 209.0 105.7 358.9
Pla de l'Estany 11.1 133.2 153.1 297.4
Priorat 5.2 25.5 9.5 40.1
Ribera d'Ebre 789.4 26.9 15.0 831.3
Ripollès 12.5 65.7 97.7 175.9
Segarra 15.8 324.1 82.3 422.3
Segrià 114.4 308.1 209.7 632.2
Selva 107.7 884.4 269.3 1,261.4
Solsonès 7.1 33.3 56.5 96.9
Tarragonès 306.9 1,567.1 297.9 2,171.9
Terra Alta 61.7 32.7 12.0 106.4
Urgell 36.5 151.3 112.8 300.6
Vallès Occidental 487.1 3,277.4 3,178.2 6,942.6
Vallès Oriental 216.0 2,805.2 1,397.2 4,418.4
Catalonia 6,994.2 20,445.1 16,827.3 44,266.6
Units: Milions of euros (2019 Benchmark revision).
Source: Idescat. Gross Domestic Product. Counties and municipalities.
Note: (p) Provisional data.
Gross value added (GVA) (p). Industry. Percentage. Counties 2019
Mining industries, water, energy and waste Food, textiles, wood, graphic arts, chemicals and rubber Metallurgy, machinery, electrical materials and transport Total
Alt Camp 7.6 53.7 38.8 100.0
Alt Empordà 21.4 40.0 38.6 100.0
Alt Penedès 4.4 69.4 26.2 100.0
Alt Urgell 30.9 35.1 34.0 100.0
Alta Ribagorça 77.9 12.0 10.1 100.0
Anoia 14.7 50.5 34.8 100.0
Aran 86.2 5.8 7.9 100.0
Bages 10.3 33.0 56.7 100.0
Baix Camp 30.6 32.8 36.6 100.0
Baix Ebre 26.4 52.6 21.0 100.0
Baix Empordà 18.2 45.1 36.8 100.0
Baix Llobregat 6.2 28.9 64.9 100.0
Baix Penedès 17.6 36.3 46.2 100.0
Barcelonès 39.4 32.1 28.5 100.0
Berguedà 14.5 68.8 16.7 100.0
Cerdanya 57.2 25.1 17.7 100.0
Conca de Barberà 12.4 33.0 54.6 100.0
Garraf 13 26.2 60.8 100.0
Garrigues 46 27.9 26.1 100.0
Garrotxa 6.9 63.4 29.6 100.0
Gironès 8.6 67.8 23.7 100.0
Maresme 10.1 61.0 28.9 100.0
Moianès 2.5 90.1 7.3 100.0
Montsià 9.5 52.9 37.6 100.0
Noguera 18.6 42.3 39.1 100.0
Osona 5.5 53.5 41.0 100.0
Pallars Jussà 75.9 16.5 7.6 100.0
Pallars Sobirà 74.9 19.4 5.8 100.0
Pla d'Urgell 12.3 58.2 29.5 100.0
Pla de l'Estany 3.7 44.8 51.5 100.0
Priorat 13 63.4 23.6 100.0
Ribera d'Ebre 95 3.2 1.8 100.0
Ripollès 7.1 37.4 55.5 100.0
Segarra 3.8 76.8 19.5 100.0
Segrià 18.1 48.7 33.2 100.0
Selva 8.5 70.1 21.3 100.0
Solsonès 7.4 34.4 58.3 100.0
Tarragonès 14.1 72.2 13.7 100.0
Terra Alta 58 30.7 11.3 100.0
Urgell 12.1 50.3 37.5 100.0
Vallès Occidental 7 47.2 45.8 100.0
Vallès Oriental 4.9 63.5 31.6 100.0
Catalonia 15.8 46.2 38.0 100.0
Units: Per cent (2019 Benchmark Revision).
Source: Idescat. Gross Domestic Product. Counties and municipalities.
Note: (p) Provisional data.

Methodological note

Definition of concepts

Gross value added
Wealth generated over a period considered that is obtained from the difference between the production value and intermediate consumption used (prime materials, services and exterior supplies, etc.). In coherence with INE methodology applied to national accounts, the production imputed to bank services has been deducted from the gross added value of the service sector, rather than distributing it between all sectors of the economy.

Methodological aspects

Gross domestic product at market price (GDP mp) measures the total economic activity of a territory's productive units. It is calculated based on market prices, as the value of production takes into account the incidence of taxes and subsidies.

From a supply standpoint, GDP makes it possible to assess the contributions made by the different productive activity branches to the whole of the economy; that is to say, it encompasses the gross value added of the main activity branches, valued at basic prices.

GDP estimations are based on the counties of Catalonia. Disaggregated data is also available for municipalities with more than 5000 inhabitants and for county capitals.

As for gross value added (GVA) ), it represents the wealth generated by the economy during the period being considered. It is obtained by calculating the difference between production value and the value of intermediate resource consumption (raw materials, services, exterior supplies, etc.). It is calculated at basic prices, , that is to say, taxes and subsidies affecting products (VAT, special taxes, etc.) are not taken into account only production taxes are. These taxes are the ones levied on companies for participating in production activities, regardless of the amount or value of what has been produced and sold.

GVA results are published here by main economic activity sectors (agriculture, industry, construction and services) for municipalities with more than 5000 inhabitants and for county capital.

Data on gross value added is also published for 11 branches of economic activity for municipalities with over 45,000 inhabitants and all counties of Catalonia.

Current Territorial Distribution

At present, Catalonia is divided into 41 counties, 1 singular territorial entity (Aran) and 8 areas of the Territorial Plan, according to the latest territorial changes, which affect the areas of El Penedès and the Central Counties, Aran and El Moianès.

Unavailable information is represented using the symbol ":". When the value is lower than that of the minimum unit to be able to estimate the statistical operation or if it effects statistical confidentiality, the symbol used is "..".