[met_bd_hgn2] Business demography and high growth enterprise by NACE Rev. 2 activity and metropolitan regions
Updated by provider on December 12, 2022 (6:55 PM).
[FREQ] Frequency
- [A] Annual
[unit] Unit of measure
- [NR] Number
[indic_sb] Economical indicator for structural business statistics
- [V11910] Population of active enterprises in t - number
- [V11920] Births of enterprises in t - number
- [V11930] Deaths of enterprises in t - number
- [V11943] Enterprises newly born in t-3 having survived to t - number
- [V11960] High growth enterprises measured in employment (growth by 10% or more) - number
- [V16910] Persons employed in the population of active enterprises in t - number
- [V16911] Employees in the population of active enterprises in t - number
- [V16920] Persons employed in the population of births in t - number
- [V16921] Employees in the population of births in t - number
- [V16930] Persons employed in the population of deaths in t - number
- [V16931] Employees in the population of deaths in t - number
- [V16943] Persons employed in the population of enterprises newly born in t-3 having survived to t - number
- [V16953] Persons employed in the year of birth in the population of enterprises newly born in t-3 having survived to t - number
- [V97010] Net business population growth - percentage
- [V97015] Business churn: birth rate + death rate - percentage
- [V97020] Birth rate: number of enterprise births in the reference period (t) divided by the number of enterprises active in t - percentage
- [V97030] Death rate: number of enterprise deaths in the reference period (t) divided by the number of enterprises active in t - percentage
- [V97043] Survival rate 3: number of enterprises in the reference period (t) newly born in t-3 having survived to t divided by the number of enterprise births in t-3 - percentage
- [V97053] 3 year old enterprises' share of the business population - percentage
- [V97120] Employment share of enterprise births: number of persons employed in the reference period (t) among enterprises newly born in t divided by the number of persons employed in t among the stock of enterprises active in t - percentage
- [V97121] Average size of newly born enterprises: number of persons employed in the reference period (t) among enterprises newly born in t divided by the number of enterprises newly born in t - number
- [V97122] New enterprise paid employment rate: number of employees in the reference period (t) among enterprises newly born in t divided by the number of persons employed in t among enterprises newly born in t - percentage
- [V97130] Employment share of enterprise deaths: number of persons employed in the reference period (t) among enterprise deaths divided by the number of persons employed in t among the stock of active enterprises in t - percentage
- [V97131] Average employment in enterprise deaths: number of persons employed in the reference period (t) among enterprise deaths in t divided by the number of enterprise deaths in t - number
- [V97143] Three-year old enterprises employment growth rate: number of persons employed in the reference period (t) among enterprises newly born in t-3 having survived to t divided by the number of persons employed in t-3 by the same enterprises, expressed as a percentage growth rate - percentage
- [V97153] Employment share of 3 year old enterprises: Number of persons employed in enterprises newly born in t-3 having survived to t, divided by the number of persons employed in the population of active enterprises in t - percentage
- [V97460] Share of high growth enterprises measured in employment: number of high growth enterprises divided by the number of active enterprises with at least 10 employees - percentage
[nace_r2] Statistical classification of economic activities in the European Community (NACE Rev. 2)
- [B-E] Industry (except construction)
- [B-S_X_K642] Industry, construction and services except insurance activities of holding companies
- [F] Construction
- [G] Wholesale and retail trade; repair of motor vehicles and motorcycles
- [H] Transportation and storage
- [I] Accommodation and food service activities
- [J] Information and communication
- [K_L_X_K642] Financial and insurance activities; real estate activities except activities of holding companies
- [M_N] Professional, scientific and technical activities; administrative and support service activities
- [P_Q] Education; human health and social work activities
- [R_S] Arts, entertainment and recreation; other service activities
[metroreg] Metropolitan regions
- [AT] Austria
- [AT001MC] Wien
- [AT002M] Graz
- [AT003M] Linz
- [AT004M] Salzburg
- [AT005M] Innsbruck
- [AT_NM] Non-metropolitan regions in Austria
- [BG] Bulgaria
- [BG001MC] Sofia
- [BG002M] Plovdiv
- [BG003M] Varna
- [BG004M] Burgas
- [BG_NM] Non-metropolitan regions in Bulgaria
- [CH] Switzerland
- [CH001M] Zürich
- [CH002M] Genève
- [CH004MC] Bern
- [CH005M] Lausanne
- [CH006M] St. Gallen
- [CH007M] Lucerne
- [CH_NM] Non-metropolitan regions in Switzerland
- [CZ] Czechia
- [CZ001MC] Praha
- [CZ002M] Brno
- [CZ003M] Ostrava
- [CZ004M] Plzen
- [CZ007M] Liberec
- [CZ_NM] Non-metropolitan regions in Czech Republic
- [DK] Denmark
- [DK001MC] København
- [DK002M] Århus
- [DK003M] Odense
- [DK004M] Aalborg
- [DK_NM] Non-metropolitan regions in Denmark
- [EE] Estonia
- [EE001MC] Tallinn
- [EE_NM] Non-metropolitan regions in Estonia
- [ES] Spain
- [ES001MC] Madrid
- [ES002M] Barcelona
- [ES003M] Valencia
- [ES004M] Sevilla
- [ES005M] Zaragoza
- [ES006M] Málaga - Marbella
- [ES007M] Murcia - Cartagena
- [ES008M] Las Palmas
- [ES009M] Valladolid
- [ES010M] Palma de Mallorca
- [ES012M] Vitoria/Gasteiz
- [ES013M] Oviedo - Gijón
- [ES014M] Pamplona/Iruña
- [ES015M] Santander
- [ES019M] Bilbao
- [ES020M] Córdoba
- [ES021M] Alicante/Alacant - Elche/Elx
- [ES022M] Vigo
- [ES025M] Santa Cruz de Tenerife
- [ES026M] A Coruña
- [ES501M] Granada
- [ES510M] Guipúzcoa
- [ES522M] Cádiz
- [ES_NM] Non-metropolitan regions in Spain
- [FI] Finland
- [FI001MC] Helsinki
- [FI002M] Tampere
- [FI003M] Turku
- [FI_NM] Non-metropolitan regions in Finland
- [FR] France
- [FR001MC] Paris
- [FR003M] Lyon
- [FR004M] Toulouse
- [FR006M] Strasbourg
- [FR007M] Bordeaux
- [FR008M] Nantes
- [FR009M] Lille - Dunkerque - Valenciennes
- [FR010M] Montpellier
- [FR011M] Saint-Etienne
- [FR013M] Rennes
- [FR014M] Amiens
- [FR015M] Rouen
- [FR016M] Nancy
- [FR018M] Reims
- [FR019M] Orléans
- [FR020M] Dijon
- [FR021M] Poitiers
- [FR022M] Clermont-Ferrand
- [FR023M] Caen
- [FR024M] Limoges
- [FR025M] Besançon
- [FR026M] Grenoble
- [FR030M] Fort-de-France
- [FR035M] Tours
- [FR036M] Angers
- [FR037M] Brest
- [FR038M] Le Mans
- [FR040M] Mulhouse
- [FR043M] Perpignan
- [FR044M] Nimes
- [FR045M] Pau
- [FR048M] Annecy (FR) / Genève (CH)
- [FR203M] Marseille
- [FR205M] Nice
- [FR520M] Les Abymes
- [FR_NM] Non-metropolitan regions in France
- [HR] Croatia
- [HR001MC] Zagreb
- [HR005M] Split
- [HR_NM] Non-metropolitan regions in Croatia
- [HU] Hungary
- [HU001MC] Budapest
- [HU002M] Miskolc
- [HU004M] Pécs
- [HU005M] Debrecen
- [HU009M] Székesfehérvár
- [HU_NM] Non-metropolitan regions in Hungary
- [IT] Italy
- [IT001MC] Roma
- [IT002M] Milano
- [IT003M] Napoli
- [IT004M] Torino
- [IT005M] Palermo
- [IT006M] Genova
- [IT007M] Firenze
- [IT008M] Bari
- [IT009M] Bologna
- [IT010M] Catania
- [IT011M] Venezia
- [IT012M] Verona
- [IT016M] Perugia
- [IT022M] Taranto
- [IT027M] Cagliari
- [IT028M] Padova
- [IT029M] Brescia
- [IT501M] Messina
- [IT502M] Prato
- [IT503M] Parma
- [IT505M] Reggio nell Emilia
- [IT511M] Bergamo
- [IT_NM] Non-metropolitan regions in Italy
- [LT] Lithuania
- [LT001MC] Vilnius
- [LT002M] Kaunas
- [LT_NM] Non-metropolitan regions in Lithuania
- [LV] Latvia
- [LV001MC] Riga
- [LV_NM] Non-metropolitan regions in Latvia
- [MT] Malta
- [MT001MC] Valletta
- [MT_NM] Non-metropolitan regions in Malta
- [NL] Netherlands
- [NL001M] s' Gravenhage
- [NL002MC] Amsterdam
- [NL003M] Rotterdam
- [NL004M] Utrecht
- [NL005M] Eindhoven
- [NL006M] Tilburg
- [NL007M] Groningen
- [NL008M] Enschede
- [NL009M] Arnhem - Nijmegen
- [NL012M] Breda
- [NL015M] Leeuwarden
- [NL507M] Leiden
- [NL511M] Zwolle
- [NL_NM] Non-metropolitan regions in Netherlands
- [PL] Poland
- [PL001MC] Warszawa
- [PL002M] Lódz
- [PL003M] Kraków
- [PL004M] Wroclaw
- [PL005M] Poznan
- [PL006M] Gdansk
- [PL007M] Szczecin
- [PL008M] Bydgoszcz - Torún
- [PL009M] Lublin
- [PL010M] Katowice
- [PL011M] Bialystok
- [PL012M] Kielce
- [PL014M] Olsztyn
- [PL015M] Rzeszów
- [PL016M] Opole
- [PL024M] Czestochowa
- [PL025M] Radom
- [PL506M] Bielsko-Biala
- [PL514M] Tarnów
- [PL_NM] Non-metropolitan regions in Poland
- [PT] Portugal
- [PT001MC] Lisboa
- [PT002M] Porto
- [PT005M] Coimbra
- [PT_NM] Non-metropolitan regions in Portugal
- [RO] Romania
- [RO001MC] Bucuresti
- [RO002M] Cluj-Napoca
- [RO003M] Timisoara
- [RO004M] Craiova
- [RO501M] Constanta
- [RO502M] Iasi
- [RO503M] Galati
- [RO504M] Brasov
- [RO505M] Ploiesti
- [RO_NM] Non-metropolitan regions in Romania
- [SE] Sweden
- [SE001MC] Stockholm
- [SE002M] Göteborg
- [SE003M] Malmö
- [SE006M] Uppsala
- [SE_NM] Non-metropolitan regions in Sweden
- [SK] Slovakia
- [SK001MC] Bratislava
- [SK002M] Kosice
- [SK_NM] Non-metropolitan regions in Slovakia
Search filters
Frequency [FREQ] (1)
Unit of measure [unit] (1)
Economical indicator for structural business statistics [indic_sb] (27)
Statistical classification of economic activities in the European Community (NACE Rev. 2) [nace_r2] (11)
Metropolitan regions [metroreg] (211)
This dataset has 59,925 series:
- from
- 2008=37,455
- to
- 2020=36,695
- min:
- 36,328
- max:
- 38,730
- avg:
- 37,263.462
- σ:
- 793.313
- from
- 2008=7,558
- to
- 2020=6,961
- min:
- 6,928
- max:
- 7,563
- avg:
- 7,223.462
- σ:
- 270.669
- from
- 2008=2,466
- to
- 2020=2,431
- min:
- 2,413
- max:
- 2,571
- avg:
- 2,472.308
- σ:
- 45.184
- from
- 2008=3,324
- to
- 2020=3,401
- min:
- 3,250
- max:
- 3,495
- avg:
- 3,353.462
- σ:
- 69.635
- from
- 2008=1,850
- to
- 2020=1,817
- min:
- 1,784
- max:
- 1,938
- avg:
- 1,846.769
- σ:
- 44.73
- from
- 2008=1,216
- to
- 2020=1,215
- min:
- 1,196
- max:
- 1,283
- avg:
- 1,235.923
- σ:
- 28.562
- from
- 2008=21,041
- to
- 2020=20,870
- min:
- 20,675
- max:
- 21,925
- avg:
- 21,131.538
- σ:
- 383.313
- from
- 2011=33,609
- to
- 2020=32,890
- min:
- 32,890
- max:
- 35,310
- avg:
- 34,319
- σ:
- 731.406
- from
- 2008=6,271
- to
- 2020=7,592
- min:
- 6,271
- max:
- 8,222
- avg:
- 7,763.615
- σ:
- 474.974
- from
- 2008=3,665
- to
- 2020=4,146
- min:
- 3,665
- max:
- 4,444
- avg:
- 4,163.692
- σ:
- 195.902
Series code | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.NR.V11910.B-E.AT] | 37455 | 37755 | 38106 | 38358 | 38730 | 37833 | 37087 | 36368 | 36457 | 36328 | 36743 | 36510 | 36695 |
[A.NR.V11910.B-E.AT001MC] | 7558 | 7522 | 7557 | 7563 | 7522 | 7282 | 7160 | 6963 | 6978 | 6928 | 6969 | 6942 | 6961 |
[A.NR.V11910.B-E.AT002M] | 2466 | 2497 | 2513 | 2536 | 2571 | 2500 | 2440 | 2440 | 2442 | 2447 | 2444 | 2413 | 2431 |
[A.NR.V11910.B-E.AT003M] | 3324 | 3370 | 3399 | 3436 | 3495 | 3408 | 3333 | 3260 | 3280 | 3250 | 3310 | 3329 | 3401 |
[A.NR.V11910.B-E.AT004M] | 1850 | 1871 | 1902 | 1911 | 1938 | 1848 | 1841 | 1807 | 1818 | 1784 | 1808 | 1813 | 1817 |
[A.NR.V11910.B-E.AT005M] | 1216 | 1252 | 1275 | 1283 | 1279 | 1251 | 1237 | 1223 | 1214 | 1196 | 1227 | 1199 | 1215 |
[A.NR.V11910.B-E.AT_NM] | 21041 | 21243 | 21460 | 21629 | 21925 | 21544 | 21076 | 20675 | 20725 | 20723 | 20985 | 20814 | 20870 |
[A.NR.V11910.B-E.BG] | - | - | - | 33609 | 33817 | 34279 | 34654 | 34979 | 35310 | 34880 | 34976 | 33796 | 32890 |
[A.NR.V11910.B-E.BG001MC] | 6271 | 7832 | 7556 | 7705 | 7749 | 7906 | 8019 | 8114 | 8222 | 8101 | 8065 | 7795 | 7592 |
[A.NR.V11910.B-E.BG002M] | 3665 | 4203 | 4017 | 4007 | 4059 | 4115 | 4172 | 4280 | 4353 | 4374 | 4444 | 4293 | 4146 |
Showing results 1 - 10 / 59,925