SOCIAL DIAGNOSIS 2015

Transkrypt

1 Contemporary Economics Quarterly of University of Finance and Management in Warsaw Volume 9 Issue 4 November 2015 SOCIAL DIAGNOSIS 2015 OBJECTIVE AND SUBJECTIVE QUALITY OF LIFE IN POLAND DIAGNOZA SPOŁECZNA 2015 WARUNKI I JAKOŚĆ ŻYCIA POLAKÓW Edited by: Janusz Czapiński Tomasz Panek Raport Diagnoza Społeczna 2015 finansowany przez: Warszawa: Rada Monitoringu Społecznego listopad 2015

2 CONTEMPORARY ECONOMICS ABSTRACTED/INDEXED: ABI/INFORM Complete (ProQuest) ABI/INFORM Global (ProQuest) Academic OneFile (GALE Science in Context) Business & Company Profiles (GALE Science in Context) Business and Economics Theory Collection (GALE Science in Context) Cabell s Directories Central and Eastern European Online Library CEJSH Citefactor Directory of Open Access Journals (DOAJ) Directory of Research Journal Indexing (DRJI) ERIH PLUS EBSCO ECONIS EconLit EconPapers EconStor (EconBiz) GENAMICS JournalSeek General Business File ASAP (GALE Science in Context) Google Scholar GREENR - Gale Resource on the Environment, Energy and Natural Resources (GALE Science in Context) IDEAS IndexCopernicus Infotrac Custom Journals (GALE Science in Context) International Business (GALE Science in Context) JIFACTOR Library of Congress (USA) Ministry of Science and Higher Education list of scored journals (rating score 10 pts) ProQuest Central ProQuest Research Library Research Papers in Economics (RePEc) Scirus SCOPUS Social Science Research Network The British Library The Central European Journal of Social Sciences and Humanities The International Bibliography of the Social Sciences (IBSS)/ProQuest Ulrichsweb WorldCat Zetoc Editor in Chief: Marcin Staniewski Deputy Editor in Chief Tomasz Szopiński Stat Editor Henryk Rosłaniec Language Editor Kurt Spurlock Technical Editors Monika Bandyszewska Karol Kowalczyk Associate Editors Zenon Biniek Wiesław Dębski Witold Jakóbik Witold Małecki Danuta Mliczewska Robert Nowacki Włodzimierz Rembisz Grażyna Rytelewska Maria Sierpińska Piotr Szczepankowski Tadeusz Szumlicz Ryszard Wilczyński EDITORIAL BOARD: Nur Adiana Hiau Abdullah (Malaysia) Ruth V. Aguilera (USA) Icek Ajzen (USA) Hrabrin Bachev (Bulgaria) Richard P. Bagozzi (USA) Richard Blundell (Great Britain) Constantin A. Bob (Romania) Udo Broll (Germany) Willem K. M. Brauers (Belgium) Tanja Broz (Croatia) Jelena Budak (Croatia) Barbara Czarniawska (Sweden) Didar Erdinç (Bulgaria) József Fogarasi (Romania) Nicolai Juul Foss (Denmark) Bruno S. Frey (Switzerland) Masahiko Gemma (Japan) Srećko Goić (Croatia) Kjell Åge Gotvassli (Norway) Adriana Grigorescu (Romania) Oliver D. Hart (USA) Roman Horvath (Czech Republic) Shelby D. Hunt (USA) Zoran Ivanovic (Croatia) Søren Johansen (Denmark) Sten Jönsson (Sweden) Lutz Kilian (USA) Judit Karsai (Hungary) Elko Kleinschmidt (Canada) Monika Kostera (Sweden) Stephen F. LeRoy (USA) Csaba Lentner (Hungary) Lena Malešević Perović (Croatia) Victor Martinez Reyes (USA) Eric Maskin (USA) Igor Matunović (Croatia) Ieva Meidute (Lithuania) Garabed Minassian (Bulgaria) Alexandru Mircea Nedelea (Romania) Anayo Nkamnebe (Nigeria) Harald Oberhofer (Austria) Boris Podobnik (Croatia) Nina Pološki Vokić (Croatia) Rossitsa Rangelova (Bulgaria) Assaf Razin (USA) Sanda Renko (Croatia) Domingo Enrique Ribeiro Soriano (Spain) Richard Roll (USA) Steven Rosefielde (USA) Yochanan Shachmurove (USA) Andrei Shleifer (USA) Eduardo Schwartz (USA) Mirosław Skibniewski (USA) Stanley F. Slater (USA) Lenka Slavíková (Czech Republic) Joel Sobel (USA) Jasminka Sohinger (Croatia) Miemie Struwig (South Africa) Guido Tabellini (Italy) Masahiro Taguchi (Japan) Josip Tica (Croatia) Joachim Wagner (Germany) John Whalley (Canada) Gary Wong (China) Shaker A. Zahra (USA) Edmundas Kazimieras Zavadskas (Lithuania) The original version: on-line journal ADDRESS OF EDITORS: CONTEMPORARY ECONOMICS, University of Finance and Management in Warsaw, Warszawa, 55 Pawia Str., room 219, phone: (22) editorial@ce.vizja.pl PUBLISHER: Vizja Press & IT, Warszawa, 60 Dzielna Str. phone/fax: (22) vizja@vizja.pl All articles published in the quarterly are subject to double-blind peer reviews ISSN:

3 Social Diagnosis ANNEX 5. RANK OF SOCIO-DEMOGRAPHIC AND PROFESSIONAL GROUPS IN RELATION TO EIGHT DIMENSIONS OF THE QUALITY OF LIFE IN 2015.

4 Social Diagnosis Towns and cities Civilisation level Rank City/Town Average SD N 1 Warszawa Rzeszów Poznań Kraków Zielona Góra Lublin Toruń Wrocław Gorzów Wlk Gliwice Opole Gdańsk Gdynia Olsztyn Bytom Bydgoszcz Ruda Śląska Katowice Jaworzno Kielce Wałbrzych Bielsko-Biała Białystok Łódź Sosnowiec Zabrze Częstochowa Radom Material well-being Rank City/Town Average S D N 1 Warszawa Gdynia Toruń Gdańsk Poznań Kraków Gliwice Gorzów Wlk Zielona Góra Jaworzno Wrocław Zabrze Lublin Wałbrzych Katowice Olsztyn Opole Łódź Sosnowiec Bielsko-Biała Kielce Bytom Rzeszów Ruda Śląska Białystok Radom Częstochowa Bydgoszcz Social well-being Rank City/Town Average SD N 1 Olsztyn Bytom Bydgoszcz Poznań Opole Kraków Gdańsk Zabrze Katowice Wrocław Gdynia Sosnowiec Zielona Góra Toruń Częstochowa Gliwice Bielsko-Biała Rzeszów Radom Jaworzno Warszawa Lublin Łódź Wałbrzych Kielce Białystok Gorzów Wlk Ruda Śląska Pathologies (the higher the value. the more pathologies) Rank City Average SD N 1 Jaworzno Bydgoszcz Rzeszów Częstochowa Poznań Wałbrzych Zabrze Kraków Olsztyn Zielona Góra Radom Toruń Białystok Gliwice Łódź Lublin Gorzów Wlk Wrocław Sosnowiec Bytom Kielce Gdańsk Warszawa Katowice Bielsko-Biała Gdynia Opole Ruda Śląska

5 Social Diagnosis Social capital Rank City Average SD N 1 Poznań Gorzów Wlk Warszawa Kraków Bytom Częstochowa Lublin Gliwice Katowice Jaworzno Toruń Opole Zielona Góra Gdynia Olsztyn Gdańsk Wrocław Rzeszów Radom Kielce Łódź Bydgoszcz Zabrze Bielsko-Biała Białystok Ruda Śląska Sosnowiec Wałbrzych Psychological well-being Rank City Average SD N 1 Bytom Olsztyn Zielona Góra Kraków Bielsko-Biała Gliwice Poznań Wrocław Gdynia Bydgoszcz Zabrze Toruń Jaworzno Warszawa Gdańsk Rzeszów Radom Katowice Łódź Sosnowiec Wałbrzych Lublin Częstochowa Ruda Śląska Opole Białystok Gorzów Wlk Kielce Physical well-being Rank City Average SD N 1 Jaworzno Olsztyn Rzeszów Bielsko-Biała Poznań Gliwice Kraków Toruń Łódź Zabrze Sosnowiec Białystok Wrocław Gdańsk Warszawa Zielona Góra Gdynia Ruda Śląska Lublin Bytom Radom Wałbrzych Bydgoszcz Katowice Opole Kielce Częstochowa Gorzów Wlk Life stress (the higher the value. the higher the stress) Rank City Average SD N 1 Łódź Zielona Góra Sosnowiec Bielsko-Biała Ruda Śląska Zabrze Jaworzno Toruń Gdynia Bytom Bydgoszcz Kraków Poznań Katowice Białystok Radom Gorzów Wlk Wałbrzych Gdańsk Częstochowa Gliwice Rzeszów Wrocław Olsztyn Warszawa Lublin Kielce Opole

6 Social Diagnosis Voivodships Civilisation level Rank Voivodship Average SD N 1 Pomorskie Mazowieckie Dolnośląskie Małopolskie Śląskie Lubuskie Wielkopolskie Zachodniopomorskie Kujawsko-Pomorskie Podlaskie Opolskie Podkarpackie Łódzkie Warmińsko-Mazurskie Lubelskie Świętokrzyskie Social well-being Rank Voivodship Average SD N 1 Opolskie Małopolskie Wielkopolskie Lubelskie Pomorskie Kujawsko-Pomorskie Podkarpackie Dolnośląskie Mazowieckie Śląskie Warmińsko-Mazurskie Lubuskie Świętokrzyskie Łódzkie Podlaskie Zachodniopomorskie Material well-being Rank Voivodship Average SD N 1 Mazowieckie Pomorskie Małopolskie Wielkopolskie Dolnośląskie Śląskie Lubuskie Zachodniopomorskie Podlaskie Warmińsko-Mazurskie Łódzkie Opolskie Świętokrzyskie Lubelskie Kujawsko-Pomorskie Podkarpackie Pathologies (the higher the value. the more pathologies) Rank Voivodship Average SD N 1 Małopolskie Warmińsko-Mazurskie Kujawsko-Pomorskie Podkarpackie Lubelskie Wielkopolskie Świętokrzyskie Podlaskie Łódzkie Opolskie Mazowieckie Dolnośląskie Śląskie Lubuskie Pomorskie Zachodniopomorskie Social capital Rank Voivodship Average SD N 1 Mazowieckie Podkarpackie Pomorskie Dolnośląskie Małopolskie Śląskie Lubelskie Opolskie Wielkopolskie Lubuskie Świętokrzyskie Warmińsko-Mazurskie Kujawsko-Pomorskie Zachodniopomorskie Łódzkie Podlaskie Physical well-being Rank Voivodship Average SD N 1 Warmińsko Mazurskie 2 Małopolskie Zachodniopomorskie Mazowieckie Podlaskie Śląskie Kujawsko-Pomorskie Wielkopolskie Łódzkie Pomorskie Podkarpackie Świętokrzyskie Opolskie Lubelskie Dolnośląskie Lubuskie

7 Social Diagnosis Psychological well-being Rank Voivodship Averag SD N e 1 Małopolskie Wielkopolskie Pomorskie Śląskie Kujawsko-Pomorskie Mazowieckie Zachodniopomorskie Dolnośląskie Warmińsko-Mazurskie Lubuskie Opolskie Podkarpackie Łódzkie Świętokrzyskie Lubelskie Podlaskie Life stress (the higher the value. the more stress) Rank Voivodship Average SD N 1 Dolnośląskie Zachodniopomorskie Podkarpackie Lubuskie Opolskie Lubelskie Mazowieckie Śląskie Świętokrzyskie Łódzkie Podlaskie Pomorskie Wielkopolskie Warmińsko-Mazurskie Kujawsko-Pomorskie Małopolskie

8 Social Diagnosis Subregions (NUTS3) Civilisation level Rank Subregion Average SD N 1 Jeleniogórski Legnicko-głogowski Wrocławski Wałbrzyski Grudziądzki Bydgosko-toruński Włocławski Bialski Puławski Lubelski Chełmsko-zamojski Gorzowski Zielonogórski Łódzki Piotrkowski Sieradzki Skierniewicki Krakowski Nowosądecki Oświęcimski Tarnowski Ciechanowsko-płocki Warszawski Ostrołęcko-siedlecki Radomski Nyski Opolski Krośnieński Przemyski Rzeszowski Tarnobrzeski Białostocki Łomżyński Suwalski Gdański Słupski Starogardzki Bielski Bytomski Częstochowski Gliwicki Katowicki Rybnicki Sosnowiecki Tyski Kielecki Sandomiersko-jędrzejowski Elbląski Ełcki Olsztyński Kaliski Koniński Leszczyński Poznański Pilski Koszaliński Stargardzki Szczeciński Social well-being Rank Subregion Average SD N 1 Jeleniogórski Legnicko-głogowski Wrocławski Wałbrzyski Grudziądzki Bydgosko-toruński Włocławski Bialski Puławski Lubelski Chełmsko-zamojski Gorzowski Zielonogórski Łódzki Piotrkowski Sieradzki Skierniewicki Krakowski Nowosądecki Oświęcimski Tarnowski Ciechanowsko-płocki Warszawski Ostrołęcko-siedlecki Radomski Nyski Opolski Krośnieński Przemyski Rzeszowski Tarnobrzeski Białostocki Łomżyński Suwalski Gdański Słupski Starogardzki Bielski Bytomski Częstochowski Gliwicki Katowicki Rybnicki Sosnowiecki Tyski Kielecki Sandomiersko-jędrzejowski Elbląski Ełcki Olsztyński Kaliski Koniński Leszczyński Poznański Pilski Koszaliński Stargardzki Szczeciński

9 Social Diagnosis Material well-being Rank Subregion Average SD N 1 Jeleniogórski Legnicko-głogowski Wrocławski Wałbrzyski Grudziądzki Bydgosko-toruński Włocławski Bialski Puławski Lubelski Chełmsko-zamojski Gorzowski Zielonogórski Łódzki Piotrkowski Sieradzki Skierniewicki Krakowski Nowosądecki Oświęcimski Tarnowski Ciechanowsko-płocki Warszawski Ostrołęcko-siedlecki Radomski Nyski Opolski Krośnieński Przemyski Rzeszowski Tarnobrzeski Białostocki Łomżyński Suwalski Gdański Słupski Starogardzki Bielski Bytomski Częstochowski Gliwicki Katowicki Rybnicki Sosnowiecki Tyski Kielecki Sandomiersko-jędrzejowski Elbląski Ełcki Olsztyński Kaliski Koniński Leszczyński Poznański Pilski Koszaliński Stargardzki Szczeciński Pathologies (the higher the value. the more pathologies) Rank Subregion Average SD N 1 Jeleniogórski Legnicko-głogowski Wrocławski Wałbrzyski Grudziądzki Bydgosko-toruński Włocławski Bialski Puławski Lubelski Chełmsko-zamojski Gorzowski Zielonogórski Łódzki Piotrkowski Sieradzki Skierniewicki Krakowski Nowosądecki Oświęcimski Tarnowski Ciechanowsko-płocki Warszawski Ostrołęcko-siedlecki Radomski Nyski Opolski Krośnieński Przemyski Rzeszowski Tarnobrzeski Białostocki Łomżyński Suwalski Gdański Słupski Starogardzki Bielski Bytomski Częstochowski Gliwicki Katowicki Rybnicki Sosnowiecki Tyski Kielecki Sandomiersko-jędrzejowski Elbląski Ełcki Olsztyński Kaliski Koniński Leszczyński Poznański Pilski Koszaliński Stargardzki Szczeciński

10 Social Diagnosis Social capital Rank Subregion Average SD N 1 Jeleniogórski Legnicko-głogowski Wrocławski Wałbrzyski Grudziądzki Bydgosko-toruński Włocławski Bialski Puławski Lubelski Chełmsko-zamojski Gorzowski Zielonogórski Łódzki Piotrkowski Sieradzki Skierniewicki Krakowski Nowosądecki Oświęcimski Tarnowski Ciechanowsko-płocki Warszawski Ostrołęcko-siedlecki Radomski Nyski Opolski Krośnieński Przemyski Rzeszowski Tarnobrzeski Białostocki Łomżyński Suwalski Gdański Słupski Starogardzki Bielski Bytomski Częstochowski Gliwicki Katowicki Rybnicki Sosnowiecki Tyski Kielecki Sandomiersko-jędrzejowski Elbląski Ełcki Olsztyński Kaliski Koniński Leszczyński Poznański Pilski Koszaliński Stargardzki Szczeciński Physical well-being Rank Subregion Average SD N 1 Jeleniogórski Legnicko-głogowski Wrocławski Wałbrzyski Grudziądzki Bydgosko-toruński Włocławski Bialski Puławski Lubelski Chełmsko-zamojski Gorzowski Zielonogórski Łódzki Piotrkowski Sieradzki Skierniewicki Krakowski Nowosądecki Oświęcimski Tarnowski Ciechanowsko-płocki Warszawski Ostrołęcko-siedlecki Radomski Nyski Opolski Krośnieński Przemyski Rzeszowski Tarnobrzeski Białostocki Łomżyński Suwalski Gdański Słupski Starogardzki Bielski Bytomski Częstochowski Gliwicki Katowicki Rybnicki Sosnowiecki Tyski Kielecki Sandomiersko-jędrzejowski Elbląski Ełcki Olsztyński Kaliski Koniński Leszczyński Poznański Pilski Koszaliński Stargardzki Szczeciński

11 Social Diagnosis Psychological well-being Life stress (the higher the value. the greater the stress) Rank Subregion Average SD N Rank Subregion Average SD N 1 Jeleniogórski Słupski Legnicko-głogowski Elbląski Wrocławski Nowosądecki Wałbrzyski Pilski Grudziądzki Chełmsko-zamojski Bydgosko-toruński Ostrołęcko-siedlecki Włocławski Łódzki Bialski Włocławski Puławski Suwalski Lubelski Koniński Chełmsko-zamojski Bielski Gorzowski Grudziądzki Zielonogórski Kaliski Łódzki Krakowski Piotrkowski Łomżyński Sieradzki Starogardzki Skierniewicki Ciechanowsko-płocki Krakowski Nyski Nowosądecki Leszczyński Oświęcimski Oświęcimski Tarnowski Rybnicki Ciechanowsko-płocki Sandomiersko-jędrzejowski Warszawski Bydgosko-toruński Ostrołęcko-siedlecki Katowicki Radomski Stargardzki Nyski Częstochowski Opolski Tarnowski Krośnieński Puławski Przemyski Kielecki Rzeszowski Sieradzki Tarnobrzeski Gliwicki Białostocki Wałbrzyski Łomżyński Jeleniogórski Suwalski Zielonogórski Gdański Sosnowiecki Słupski Skierniewicki Starogardzki Radomski Bielski Bialski Bytomski Legnicko-głogowski Częstochowski Poznański Gliwicki Przemyski Katowicki Białostocki Rybnicki Bytomski Sosnowiecki Gdański Tyski Gorzowski Kielecki Krośnieński Sandomiersko-jędrzejowski Olsztyński Elbląski Rzeszowski Ełcki Tarnobrzeski Olsztyński Szczeciński Kaliski Koszaliński Koniński Warszawski Leszczyński Opolski Poznański Tyski Pilski Ełcki Koszaliński Piotrkowski Stargardzki Wrocławski Szczeciński Lubelski

12 Social Diagnosis Socio-demographic groups Civilisation level Rank Socio-demographic group Aver age SD N 1 Higher Private entrepreneurs Public sector employees Age: Unmarried couples without School and university students Age: up to Towns with inhabitants Age: Separated Private sector employees Married couple with Single person Married couple with a child Town with inhabitants Married couple with Secondary Unmarried couple with Town with inhabitants Man Husband/wife Town with inhabitants Town with inhabitants Age: Multi-family without Multi-family with Woman Unemployed Divorced Occupationally passive Village Farmers Single-parent families Married couple without Multi-person Vocational Age: Single-person Retirees Pensioners Age: Widow(er) Primary and lower Social well-being Ran k Socio-demographic group Average SD N 1 Private entrepreneurs Multi-family without School and university students Age: up to Married couple without Multi-family with Farmers Towns with inhabitants Higher and secondary Man Husband/wife Age: Married couple with Village Married couple with 1 child Married couple with Secondary Public sector employees Single person Age: Vocational Town with inhabitants Pensioners Private sector employees Age: Age: Towns with inhabitants Town with inhabitants Age: Woman Town with inhabitants Occupationally passive Retirees Unmarried couple with Unemployed Primary and lower Separated Widow(er) Unmarried couples without Single-parent family single-person household multi-person Divorced

13 Social Diagnosis Material well-being Ran Socio-demographic Average SD N k group 1 Private entrepreneurs Higher and secondary Towns with inhabitants. 4 Public sector employees Married couple with child Unmarried couples without 7 Age: Private sector employees Married couple with Husband/wife Married couple without Separated Age: Town with inhabitants Multi-family without Age: Secondary Town: 100k to 200k School and university students 20 Man Multi-family with 22 Town: less than 20 k Age: up to Town: 20k - 100k with Woman Age: Unmarried couple with Single person Farmers Village Vocational Pensioners Occupationally inactive Divorced Age: Single-parent families Retirees Unemployed single-person multi-person Widow(er) Primary and lower Pathologies (the higher the value, the more pathologies) Ran Socio-demographic Average SD N k group 1 Age: Widow(er) Pensioners Woman Farmers School and university students without Village Primary and lower with 3+ Multi-family without 12 Husband/wife Public sector employees Multi-family with 15 Age: Secondary with 2 Higher and postsecondary Retirees with 1 child 21 Town: 20k - 100k Town: less than 20 k Age: up to single-person Age: Age: Vocational Towns with inhabitants. Private sector employees 30 Single-parent families Town: 100k to 200k Age: Town: 200k-500k Occupationally inactive Man Private entrepreneurs Single person Divorced Unemployed Unmarried couple with Separated multi-person Unmarried couples without

14 Social Diagnosis Social capital Rank Socio-demographic group Average SD N 1 Public sector employees Higher and postsecondary Private entrepreneurs Towns with inhabitants Age: Farmers Husband/wife Age: without Age: with Town: 200k-500k with 1 child Multi-family without Town: 100k to 200k Secondary Man Divorced Woman Town: 20k - 100k Town: less than 20 k Pensioners with Private sector employees Age: Village Multi-family with single-person Unmarried couples without Age: School and university students Single person Single-parent families multi-person Separated Age: up to Vocational Occupationally inactive Widow(er) Unmarried couple with Unemployed Retirees Primary and lower Physical well-being Rank Socio-demographic group Average SD N 1 School and university students Age: up to Age: Single person Private sector employees with with Age: Unmarried couple with Public sector employees Private entrepreneurs Unmarried couples without Separated Higher and postsecondary employees Farmers Unemployed with 1 child Multi-family with multi-person Man Village Secondary Towns with inhabitants Vocational Occupationally inactive Town: less than 20 k Husband/wife Multi-family without Town: 200k-500k Woman Town: 100k to 200k Town: 20k - 100k Single-parent families Age: Divorced without Age: single-person Primary and lower Pensioners Widow(er) Age: Retirees

15 Social Diagnosis Psychological well-being Rank Socio-demographic group Average SD N 1 School and university students Age: up to Age: Private entrepreneurs Higher and postsecondary Private sector employees with Unmarried couples without Public sector employees with Age: Single person with 1 child Separated Multi-family with Husband/wife Towns with inhabitants Man Secondary Farmers Town: less than 20 k Unmarried couple with Multi-family without Town: 100k to 200k Village Town: 200k-500k Vocationally inactive without Woman Town: 20k - 100k Age: Occupationally inactive Age: multi-person Unemployed Pensioners Single-parent families Age: single-person Retirees Primary and lower Divorced Widow(er) Life stress (the higher the value, the greater the stress) Rank Socio-demographic group Average SD N 1 School and university students 2 Age: Widow(er) Age: up to Pensioners single-person 7 Single person Primary and lower Retirees multi-person without Multi-family without 13 Age: Unmarried couples without 15 Single-parent families Village Woman Town: less than 20 k Occupationally inactive 20 Vocational Divorced Town: 20k - 100k Secondary Man Age: Town: 100k to 200k Multi-family with 28 Towns with 500k inhabitants. 29 Town: 200k-500k Higher and postsecondary with 1 child with Unemployed with 2 35 Separated Husband/wife Private sector employees 38 Public sector employees 39 Farmers Age: Unmarried couple with 42 Age: Private entrepreneurs

16 Social Diagnosis Professional groups of occupationally active persons Civilisation level Rank Professional group Average SD N 1 Academic teachers Creators, artists, writers, journalists Doctors, vets, dentists Other specialists Lawyers Marketing specialists Financial specialists IT specialists and similar professions Engineers, architects, designers and similar Authorities and directors Administration and management specialists Primary school teachers Secondary school teachers Managers of various specialities Sales and business agents and brokers Other health care specialists Public officers Middle-level financial specialists Professional soldiers Office support Waiters, bartenders and stewards Other middle-level staff Technicians Nurses and midwives Hairdressers, beauticians Accounting and transport specialists Electricians and electronic technicians Salespersons Mechanics Mining equipment operators Passenger and delivery vehicle drivers Truck and bus drivers Personal assistance employees Steelworkers Machine operators Construction workers - finishing Blacksmiths and toolmakers Railwaymen Fitters Moulders, welders Security services employees (firefighters, policemen and similar) Other personal services personnel Wood processing workers, papermakers, carpenters Painters and similar Textile production workers Food processing industry employees Cooks Construction workers - raw state Labourers in mining and construction Plant production farmers Simple works employees Workers not classified otherwise Plant and animal production farmers Domestic help and cleaners Farmers producing for their own needs

17 Social Diagnosis Social well-being Rank Professional group Average SD N 1 Authorities and directors Professional soldiers Academic teachers Doctors, vets, dentists Sales and business agents and brokers Passenger and delivery vehicle drivers IT specialists and similar professions Other specialists Hairdressers, beauticians Creators, artists, writers, journalists Accounting and transport specialists Construction workers - raw state Railwaymen Machine operators Engineers, architects, designers and similar Moulders, welders Electricians and electronic technicians Food processing industry employees Wood processing workers, papermakers, carpenters Primary school teachers Truck and bus drivers Managers of various specialities Mechanics Mining equipment operators Construction workers - finishing Other personal services personnel Farmers producing for their own needs Marketing specialists Lawyers Plant production farmers Plant and animal production farmers Workers not classified otherwise Nurses and midwives Blacksmiths and toolmakers Steelworkers Financial specialists Painters and similar Other middle-level staff Office support Other health care specialists Cooks Personal assistance employees Fitters Administration and management specialists Salespersons Secondary school teachers Public officers Waiters, bartenders and stewards Textile production workers Technicians Security services employees (firefighters, policemen and similar) Simple works employees Middle-level financial specialists Domestic help and cleaners Labourers in mining and construction

18 Social Diagnosis Material well-being Rank Professional group Average SD N 1 Authorities and directors Doctors, vets, dentists Lawyers Academic teachers Creators, artists, writers, journalists Managers of various specialities Marketing specialists Other specialists Financial specialists Sales and business agents and brokers Engineers, architects, designers and similar IT specialists and similar professions Administration and management specialists Primary school teachers Secondary school teachers Middle-level financial specialists Public officers Other health care specialists Hairdressers, beauticians Nurses and midwives Office support Passenger and delivery vehicle drivers Truck and bus drivers Other personal services personnel Accounting and transport specialists Professional soldiers Technicians Steelworkers Mining equipment operators Moulders, welders Electricians and electronic technicians Railwaymen Machine operators Cooks Salespersons Other middle-level staff Mechanics Wood processing workers, papermakers, carpenters Plant production farmers Construction workers - finishing Security services employees (firefighters, policemen and similar) Blacksmiths and toolmakers Personal assistance employees Fitters Waiters, bartenders and stewards Painters and similar Workers not classified otherwise Textile production workers Plant and animal production farmers Farmers producing for their own needs Construction workers - raw state Food processing industry employees Simple works employees Domestic help and cleaners Labourers in mining and construction

19 Social Diagnosis Pathologies (the higher the value, the more pathologies) Rank Professional group Average SD N 1 Nurses and midwives Personal assistance employees Hairdressers, beauticians Plant and animal production farmers Textile production workers Other specialists Middle-level financial specialists Professional soldiers Farmers producing for their own needs Office support Cooks Waiters, bartenders and stewards Primary school teachers Lawyers Railwaymen Secondary school teachers Domestic help and cleaners Financial specialists Food processing industry employees Plant production farmers Fitters Technicians Salespersons Academic teachers Passenger and delivery vehicle drivers Sales and business agents and brokers Public officers Managers of various specialities Other personal services personnel Administration and management specialists Other middle-level staff Accounting and transport specialists Moulders, welders Engineers, architects, designers and similar Mechanics Truck and bus drivers Other health care specialists Electricians and electronic technicians Wood processing workers, papermakers, carpenters Doctors, vets, dentists Marketing specialists Blacksmiths and toolmakers Simple works employees Steelworkers IT specialists and similar professions Authorities and directors Construction workers - raw state Security services employees (firefighters, policemen and similar) 49 Construction workers - finishing Painters and similar Machine operators Workers not classified otherwise Mining equipment operators Labourers in mining and construction Creators, artists, writers, journalists