Map 1: GDP per head by region (PPS), Index, EU-25 = 100 < >= 125 MT: Source: Eurostat.
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1 Canarias (E) Guyane Re R egiogis g io GIS Map 1: GDP per head by region (PPS), 2000 Index, EU-25 = 100 < >= 125 MT: km
2 Canarias (E) Guyane Re R egiogis g io GIS Map 2: Change in GDP/head (PPS), Change in index (EU-25=100) score < >= 5.0 MT: km
3 Canarias (E) Guyane Re R egiogis g io GIS Map 3: Employment rate, 2001 % of population aged < >= 69.1 EU-27 = 62.9 Standard deviation = km
4 Map 4: Unemployment, 2001 Total unemployment rate Female unemployment rate Youth unemployment rate % of labour force % of female labour force % of youth labour force, < EU-27 = 8.8 Standard deviation = 5.84 < EU-27 = 9.9 Standard deviation = 7.1 < EU-27 = 18.0 Standard deviation = >= >= >= km
5 Map 5: Educational level, 2001 Low Medium High % of total population aged % of total population aged % of total population aged < average = 30.4 Standard deviation = 17.3 < average = 49.4 Standard deviation = 16.9 < average = 20.2 Standard deviation = >= 43.3 D (Rheinland-Pfalz): NUTS1 (LFS) >= 62.0 D (Rheinland-Pfalz): NUTS1 (LFS) >= D (Rheinland-Pfalz): NUTS1 (LFS) km
6 Map 6: Employment by sector, 2001 Agriculture Industry Services % total employment % total employment % total employment < EU-27 = 7.6 Standard deviation = 11.3 < EU-27 = 29.3 Standard deviation = < EU-27 = 63.1 Standard deviation = >= >= >= km
7 Canarias (E) Guyane Re R egiogis g io GIS Map 7: GDP per person employed (EUR), 1999 Index, EU-25 = 100 < >= 130 B, NL, UK, BG : NUTS km
8 Map 8. High technology - employment and patents Canarias (E) > 16 Guyane (P) (P) (P) Patent applications to the EPO, 1998 to 2000 EU15 = 141 BG CY CZ EE HU LT LV PL RO SI SK : NUTS0 < High-tech patents 1998 to 2000 Applications per million population - annual average < > Applications per million population - annual average EU15 = Standard deviation = 4.2 S: 2000 GR : NUTS1 Guyane Employment in high technology, 2001 <6 Guyane % of total employment Canarias (E) Canarias (E) >= km
9 Canarias (E) Guyane (P) Map 9. Research and development expenditure, 1999 Total expenditure, % GDP L: A: 1998 B, DK, IRL, S, BG, CY, CZ, EE, HU, LT, LV, PL, RO, SI: National level data UK: NUTS EU15 = 1.93% >= 2.03 < km
10 NO FIN EE RU Malta MT km S LV CY DK RU LT BY D PL UA CZ SK MD A HU CH I SI HR BH YU RO Re R egiogis g io GIS Map 10: Eligible areas in accession countries, Structural Funds Objective 1 Objective 2 (partly) km
11 Graph 1: GDP per capita (PPS), 2001 Index, EU-25 = average group average group 2 average EU average group L IRL DK NL A B FIN D F I 0 S UK E CY SI P EL CZ MT HU SK EE PL LT LV BG RO 12 applicants EU15, calculations DG REGIO
12 Graph 2: GDP/head (PPS) by country and regional extremes, 2000 Index, EU-25=100 Bruxelles/ Brussel * Inner London * 200 Hamburg * Antwerpen Oberbayern Île de France Southern and Eastern Trentino- Alto Adige Utrecht Wien * Salzburg Uusimaa (Suuralue) Stockholm Berkshire, Bucks & Oxfordshire Praha * Hainaut Dessau Notio Aigaio Ipeiros Madrid Corse Extremadura Border, Midland and Western Calabria Flevoland Lisboa e Vale do Tejo Açores Burgenland Itä- Suomi Norra Mellansverige B DK D EL E F IRL I L NL A P FIN S UK BG CY CZ EE HU LT LV MT PL RO SI SK Cornwall & Isles of Scilly Yugozapaden Yuzhen Tsentralen Jihozapad Strední Morava Közép- Magyar. Eszak- Alföld Mazowieckie Lubelskie Bucuresti Nord- Est Západné Slovensko Bratislavsky * Vychodné Slovensko * In these regions, the per capita GDP figure tends to be overestimated because of commuter flows.
13 Graph 3: Unemployment rate by country and regional extremes, % Severozapaden Calabria Dolnoslaskie Vychodné Slovensko Andalucía Hainaut Vlaams Brabant Halle Dytiki Makedonia Kriti Navarra Alsace Border, Midland and Western Southern and Eastern Norra Mellansverige Oberbayern Trentino- Alto Adige Groningen Utrecht Wien Alentejo Açores Oberösterr. Itä- Suomi Åland Stockholm Berks., Bucks & Oxfordshire B DK D EL E F IRL I L NL A P FIN S UK BG CY CZ EE HU LT LV MT PL RO SI SK Yugozapaden Moravskoslezsko Praha Merseyside Eszak- Magyar. Közép- Magyar. Malopolskie Sud-Est Bucuresti Bratislavsky
14 Graph 4. Population at risk/persistently at risk of poverty*, % population At risk of poverty in 1999 At risk of poverty persistently over the period 1997 to S FIN DK NL D A L B F IRL I E UK P GR EU15 (1) Provisional (1) (1) (2) (2) Estimate * Defined as 60% of median equivalised income
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