FSD1128. Juvenile Delinquency in Finland Codebook

Koko: px
Aloita esitys sivulta:

Download "FSD1128. Juvenile Delinquency in Finland Codebook"

Transkriptio

1 FSD1128 Juvenile Delinquency in Finland 1995 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE

2 c Finnish Social Science Data Archive, 2001 The bibliographic citation for this codebook: Juvenile Delinquency in Finland 1995, [codebook]. Tampere : Finnish Social Science Data Archive [producer and distributor], This codebook has been generated from the version 1.0 ( ) of the data. Detailed and specific data description in Finnish and English. Variable frequencies, variable and value labels, and missing values are checked. If necessary, the data are anonymised. Finnish Social Science Data Archive FIN University of Tampere FSD User Services: asiakaspalvelu.fsd@uta.fi Aila Data Service Portal: Finnish Social Science Data Archive Typeset by L A TEX $ Koodikirjoitin.py :20: $

3 To the reader This codebook is part of the data FSD1128 archived at the FSD (Finnish Social Science Data Archive). The source must be acknowledged in any publication based wholly or in part on the data. The bibliographic citation may be in the form required by the publication, or in the form suggested by the archive. The bibliographic citation suggested by the archive: Aromaa, Kauko & Kivivuori, Janne: Juvenile Delinquency in Finland 1995 [computer file]. FSD1128, version 1.0 ( ). Helsinki: National Research Institute of Legal Policy [producer], Tampere: Finnish Social Science Data Archive [distributor], The depositor and the archive bear no responsibility for any results or interpretations arising from the secondary use of the data. The archive must be informed of all publications where the data have been used. The beginning of the codebook contains information on data content, structure and collection, and includes a list of publications where the data have been used. The second part of the codebook contains information on variables: question texts, response options, and frequencies. The third part contains indexes. Variable distributions presented in this codebook have been generated from the SPSS files. Distribution tables present variable values, frequencies (n), frequency percents (%), and valid percents (v. %) which take into account missing data. All distributions are unweighted. If the data contain weight variables, these will be found at the end of the variables list. In some cases frequency distributions have been substituted by descriptive statistics. Distributions may contain missing data. The note "System missing (SYSMIS)" refers to missing observations (e.g. a respondent has not answered all questions) whereas "Missing (User missing)" refers to data the user has defined as missing. For example, the user may decide to code answer alternatives don t want to say or can t say ) as missing data. This codebook has been produced automatically with Python, L A TEXand dvipdfm software. Source files include data description files in DDI format, and SPSS files.

4

5 Contents 1 Study description Titles Subject description Structure and collection of the data Use of data Variables 7 3 Indexes Variables in the order of occurrence Variables in alphabetical order A naire in Finnish 111 i

6

7 Chapter 1 Study description 1.1 Titles Title of the study: Juvenile Delinquency in Finland 1995 Title of the study in Finnish: Nuorisorikollisuus 1995 Alternative title: The Finnish Self-Report Delinquency Study 1995 This codebook has been generated from the version 1.0 ( ) of the data. Detailed and specific data description in Finnish and English. Variable frequencies, variable and value labels, and missing values are checked. If necessary, the data are anonymised. 1.2 Subject description Other material naire: pdf file in Finnish Authoring entity Aromaa, Kauko (National Research Institute of Legal Policy) Kivivuori, Janne (National Research Institute of Legal Policy) Copyright statement for the data According to an agreement between FSD and the depositor Depositor Aromaa, Kauko (National Research Institute of Legal Policy) Kivivuori, Janne (National Research Institute of Legal Policy) 1

8 1. Study description Date of deposit Keywords adolescents; crime; criminal damage; drug abuse; juvenile delinquency; offences; punishment; shoplifting; theft; violence; youth Topic Classification Classification by FSD vocabulary: criminology; science of law; sociology; youth studies Classification by CESSDA vocabulary: crime; youth Series description The data belong to the series: Juvenile Delinquency in Finland The National Research Institute of Legal Policy launched a long-term research project in spring 1995 to study young people s criminal and forbidden activities. In these surveys, information has been gathered with the self-report method: the participants, 9th grade students from different parts of Finland, have answered anonymously to questions about their own criminal or forbidden activities. The survey series is also known under the name of the Finnish Self-Report Delinquency Study (FSRD). Abstract The survey studied the extent, frequency, and nature of self-reported offending among young Finns. The main topics were truancy, running away from home, fare evasion, driving without a license, doing graffiti, vandalism at school, vandalism outside school, stealing from a store or a kiosk, stealing from school, stealing from home, buying stolen goods, bullying, taking part in fighting, beating up somebody, abuse of mild drugs, use of pills, and drunken driving. The respondents were asked whether they had ever been involved in any of these activities and if so, whether the police had been notified if the activities were illegal. In addition, the respondents were asked when they had started the activity in question and whether they had been involved in it during the past year. If the respondents answered in the affirmative, they were asked if they had been alone or with somebody at the moment, and whether they had been caught. The respondents were also asked topic-related questions like what they stole from a store or what was the reason for bullying. In the survey, all respondents were asked to what extent they agreed with statements relating young people and offending, and what kind of punishments should be used. Among others, the following topics were dealt with: mitigating punishment due to circumstances, normalcy of 2

9 1.3. Structure and collection of the data illegal activities in puberty, causes of criminality, and the seriousness of petty theft as a crime. Furthermore, the respondents were asked whether they would do some or any of the following forbidden things in the future: truancy, fare evasion, petty theft, theft, mild assault and battery, use of a soft drug. The respondents were also asked whether it in their mind was normal that young people break the rules set by their parents, the rules of the school, or break the law. In the survey, the respondents were also asked about the severity of various punishments (house arrest, imprisonment, fine) in a situation where a young person had broken the law. Background variables included location of school, the respondent s gender, age, employment, whether R likes going to school, how many times R had had to repeat a year in school, professions of the parents and their current employment situation, interpersonal relationships in the family, use of money, household composition, leisure time activities, whether R had a boyfriend/girlfriend, alcohol use, and smoking. 1.3 Structure and collection of the data Country: Finland Geographic coverage: Finland Unit of analysis: Individual Universe: 9th grade students (generally aged 15-16) of Finnish-speaking municipal comprehensive schools Collection date: April 1995 May 1995 Data collector: National Research Institute of Legal Policy (National Research Institute of Legal Policy) Data producer: (National Research Institute of Legal Policy) Mode of data collection: Guided questionnaire. A self-report method has been used in the survey. Type of research instrument: Structured questionnaire Time period covered: 1995 Time method of the data collection: Longitudinal: Trend/Repeated cross-section Response rate: 89% Number of variables and cases: The data contain 218 variables and 1195 cases. Sampling procedure: Two schools from the metropolitan area of Helsinki, one school from Espoo and one from Vantaa were picked to the sample. From Southern Finland, Middle Finland and Northern Finland, one school from an urban, a densely populated municipality and a rural municipality were picked to the sample. 3

10 1. Study description 1.4 Use of data Data appraisal Responses to open-ended questions which have not been classified are missing from the data. Related publications Kivivuori, Janne (1995). Nuorten rikollinen ja kielletty toiminta Nuorisorikollisuuden seurantahankkeen ensimmäisen vuoden tuloksia ja kokemuksia. Helsinki: Oikeuspoliittinen tutkimuslaitos. Oikeuspoliittisen tutkimuslaitoksen julkaisuja; 129. Kivivuori, Janne (1999). Nuorten rikoskäyttäytyminen Helsinki: Oikeuspoliittinen tutkimuslaitos. Oikeuspoliittisen tutkimuslaitoksen julkaisuja; 161. Kivivuori, Janne & Karvonen, Sakari & Rimpelä, Matti (2001). Nuorten rikoskäyttäytymisen yleisyys kyselyjen valossa. Helsinki: Oikeuspoliittinen tutkimuslaitos. Oikeuspoliittisen tutkimuslaitoksen tutkimustiedonantoja; 54. Kivivuori, Janne & Salmi, Venla (2005). Nuorten rikoskäyttäytyminen : teemana sosiaalinen pääoma. Helsinki: Oikeuspoliittinen tutkimuslaitos. Oikeuspoliittisen tutkimuslaitoksen julkaisuja; 214. Nuoret rikosten tekijöinä ja uhreina (2002). Toim. Janne Kivivuori. Helsinki: Oikeuspoliittinen tutkimuslaitos Oikeuspoliittisen tutkimuslaitoksen julkaisuja; 188. Nuorten rikoskäyttäytyminen ja uhrikokemukset: Nuorisorikollisuuskyselyiden tuloksia (2009). Toim. Salmi, Venla. Helsinki: Oikeuspoliittinen tutkimuslaitos. Oikeuspoliittisen tutkimuslaitoksen tutkimuksia; 246. Salmi, Venla (2008). Nuorten rikoskäyttäytyminen [verkkodokumentti]. Helsinki: Oikeuspoliittinen tutkimuslaitos. Oikeuspoliittisen tutkimuslaitoksen verkkokatsauksia; 9/ [viitattu ]. Updated list of publications in the study description at Location of the data collection Finnish Social Science Data Archive Weighting There are no weight variables in the data. 4

11 1.4. Use of data Special Permissions Users of the data shall send the Institute of Criminology and Legal Policy a copy of all reports, articles, other publications or unpublished theses based on or using the data. The copies shall be sent to the mail address: Department of Social Research, Institute of Criminology and Legal Policy, Janne Kivivuori, P.O. Box 10, FI University of Helsinki, FINLAND. Restrictions The dataset is available for research and for Master s, licentiate and doctoral theses. 5

12

13 Chapter 2 Variables [FSD_NO] FSD study number FSD study number Descriptive statistics statistic value number of valid cases 1195 minimum maximum mean standard deviation 0.00 [FSD_VR] FSD edition number FSD edition number Descriptive statistics statistic value number of valid cases 1195 minimum 1.00 maximum 1.00 mean 1.00 standard deviation

14 2. Variables [FSD_PRO] FSD processing level Detailed and specific data description in Finnish and English. Variable frequencies, filter variables, variable and value labels, and missing values are checked. If necessary, the data are anonymised. A (see codebook) 1 B (see codebook) C (data hasn t been checked at FSD) [FSD_ID] FSD case id FSD case id Descriptive statistics statistic value number of valid cases 1195 minimum 1.00 maximum mean standard deviation [Q1] Case number Case number Descriptive statistics statistic value number of valid cases 1195 (continued on next page) 8

15 Q4 (cont. from previous page) statistic value minimum 1.00 maximum mean standard deviation [Q2] Type of municipality Type of municipality Urban municipality Densely populated municipality Rural municipality [Q3] Province Province The metropolitan area: Helsinki, Espoo or Vantaa Southern Finland Central Finland Northern Finland [Q4] School School 9

16 2. Variables The metropolitan area (Helsinki) The metropolitan area (Helsinki) The metropolitan area (Espoo) The metropolitan area (Vantaa) Southern Finland (urban municipalities) Southern Finland (rural municipalities) Southern Finland (densely populated municipalities) Central Finland (urban municipalities) Central Finland (rural municipalities) Central Finland (densely populated municipalities) Northern Finland (densely populated municipalities) Northern Finland (urban municipalities) Northern Finland (rural municipalities) [Q6] Gender Gender female male System missing (SYSMIS) [Q7] Age Age Descriptive statistics statistic value number of valid cases 1187 (continued on next page) 10

17 Q10 (cont. from previous page) statistic value minimum maximum mean standard deviation 0.52 [Q8] Works in addition to going to school? Works in addition to going to school? no yes, about hours per week System missing (SYSMIS) [Q9] Working hours per week Working hours per week Descriptive statistics statistic value number of valid cases 142 minimum 1.00 maximum mean 7.02 standard deviation 7.05 [Q10] Likes going to school? Likes going to school? 11

18 2. Variables always generally sometimes never System missing (SYSMIS) [Q11] Is being diligent important? Is being diligent important? no yes System missing (SYSMIS) [Q12] Has had to repeat a year at school? Has had to repeat a year at school? no yes, how many times? System missing (SYSMIS) [Q13] Number of repeated years Number of repeated years 12

19 Q15 Descriptive statistics statistic value number of valid cases 23 minimum 1.00 maximum 5.00 mean 1.39 standard deviation 0.99 [Q14] Does father work? Does father work? yes no, unemployed no, retired no, deceased no, student other, what? System missing (SYSMIS) [Q15] Father s occupation Father s occupation self-employed entrepreneur with more than four employees upper level salaried employee lower level salaried employee worker student (continued on next page) 13

20 2. Variables (cont. from previous page) farmer SES unknown [Q16] Does mother work? Does mother work? yes no, unemployed no, retired no, deceased no, student no, housewife other, what? System missing (SYSMIS) [Q17] Mother s occupation Mother s occupation self-employed entrepreneur with more than four employees upper level salaried employee lower level salaried employee worker student farmer or farmer s wife (continued on next page) 14

21 Q20 (cont. from previous page) SES unknown [Q18] Gets on well with father? Gets on well with father? always generally sometimes never System missing (SYSMIS) [Q19] Gets on well with mother? Gets on well with mother? always generally sometimes never System missing (SYSMIS) [Q20] Does father know which friends spends spare time with? Does father know which friends spends spare time with? 15

22 2. Variables no yes System missing (SYSMIS) [Q21] Does mother know which friends spends spare time with? Does mother know which friends spends spare time with? no yes System missing (SYSMIS) [Q22] Members of the household Members of the household father + mother father + mother + siblings single parent mother + siblings single parent father + siblings single parent mother single parent father other family type System missing (SYSMIS)

23 Q25 [Q23] How much money spends in a week? How much money spends in a week? Descriptive statistics statistic value number of valid cases 1151 minimum 0.00 maximum mean standard deviation [Q24] Participation in supervised activities Participation in supervised activities no yes, hours per week System missing (SYSMIS) [Q25] Supervised activity hours per week Supervised activity hours per week Descriptive statistics statistic value number of valid cases 582 minimum 1.00 maximum (continued on next page) 17

24 2. Variables (cont. from previous page) statistic value mean 5.29 standard deviation 4.39 [Q26] Girlfriend/boyfriend Girlfriend/boyfriend yes no System missing (SYSMIS) [Q28] Use of alcohol Use of alcohol at least once a week times a month less often than once a month never System missing (SYSMIS) [Q29] Has ever been drunk? Has ever been drunk? 18

25 Q32 never yes, in the past year about times System missing (SYSMIS) [Q30] Number of times drunk in a year Number of times drunk in a year Descriptive statistics statistic value number of valid cases 794 minimum 0.00 maximum mean standard deviation [Q31] Smoking Smoking at least once a week times a month less often than once a month never System missing (SYSMIS) [Q32] Truancy Truancy 19

26 2. Variables no yes System missing (SYSMIS) [Q33] When began (truancy) When began (truancy) this year in in 1993 or earlier System missing (SYSMIS) [Q34] Truancy (in the past year) Truancy (in the past year) no yes (continued on next page) 20

27 Q37 (cont. from previous page) System missing (SYSMIS) [Q35] Number of days truant Number of days truant Descriptive statistics statistic value number of valid cases 557 minimum 0.00 maximum mean 2.10 standard deviation [Q37] Number of participants (truancy) Number of participants (truancy) one (the respondent alone) (continued on next page) 21

28 2. Variables (cont. from previous page) two three four five or more System missing (SYSMIS) [Q38] Got caught? (truancy) Got caught? (truancy) no yes System missing (SYSMIS) [Q39] Running away Running away no yes System missing (SYSMIS) [Q40] When began (running away) When began (running away) 22

29 Q42 this year in in 1993 or earlier System missing (SYSMIS) [Q41] Running away (in the past year) Running away (in the past year) no yes, times during the past year System missing (SYSMIS) [Q42] Number of nights away (running away) Number of nights away (running away) Descriptive statistics statistic value number of valid cases 114 (continued on next page) 23

30 2. Variables (cont. from previous page) statistic value minimum 1.00 maximum mean 1.94 standard deviation 3.07 [Q44] Number of participants (running away) Number of participants (running away) one (the respondent alone) two three four five or more System missing (SYSMIS) [Q45] Got caught? (running away) Got caught? (running away) no yes System missing (SYSMIS) [Q46] Using public transport without paying Using public transport without paying 24

31 Q48 no yes System missing (SYSMIS) [Q47] When began (using public transport without paying) When began (using public transport without paying) this year in in 1993 or earlier System missing (SYSMIS) [Q48] Using public transport without paying (in the past year) Using public transport without paying (in the past year) no yes, times during the past year (continued on next page) 25

32 2. Variables (cont. from previous page) System missing (SYSMIS) [Q49] Fare prize (using public transport without paying) Fare prize (using public transport without paying) Descriptive statistics statistic value number of valid cases 377 minimum 0.00 maximum mean standard deviation [Q51] Number of participants (using public transport without paying) Number of participants (using public transport without paying) 26

33 Q53 one (the respondent alone) two three four five or more System missing (SYSMIS) [Q52] Did it happen on the way to school? (using public transport without paying) Did it happen on the way to school? (using public transport without paying) no yes System missing (SYSMIS) [Q53] Got caught? (using public transport without paying) Got caught? (using public transport without paying) no yes System missing (SYSMIS)

34 2. Variables [Q54] Driving without a licence Driving without a licence no yes System missing (SYSMIS) [Q55] When began (driving without a licence) When began (driving without a licence) this year in in 1993 or earlier System missing (SYSMIS) [Q56] Was the police notified? (driving without a licence) Was the police notified? (driving without a licence) no yes don t know (continued on next page) 28

35 Q57 (cont. from previous page) System missing (SYSMIS) [Q57] Driving without a licence (in the past year) Driving without a licence (in the past year) no yes, times during the past year System missing (SYSMIS) (continued on next page) 29

36 2. Variables (cont. from previous page) [Q59] Number of participants (driving without a licence) Number of participants (driving without a licence) one (the respondent alone) two three four five or more System missing (SYSMIS) [Q60] Got caught? (driving without a licence) Got caught? (driving without a licence) no yes System missing (SYSMIS) [Q61] Graffiti Graffiti 30

37 Q64 no yes System missing (SYSMIS) [Q62] When began (doing graffiti) When began (doing graffiti) this year in in 1993 or earlier System missing (SYSMIS) [Q63] Was the police notified? (doing graffiti) Was the police notified? (doing graffiti) no yes don t know System missing (SYSMIS) [Q64] Doing graffiti (in the past year) Doing graffiti (in the past year) 31

38 2. Variables no yes, times during the past year System missing (SYSMIS) [Q66] When? (doing graffiti) When? (doing graffiti) on the way to school during the lesson at school during the break on weeknight at week-end during vacation System missing (SYSMIS) [Q67] Number of participants (doing graffiti) Number of participants (doing graffiti) 32

39 Q70 one (the respondent alone) two three four five or more System missing (SYSMIS) [Q68] Got caught? (doing graffiti) Got caught? (doing graffiti) no yes System missing (SYSMIS) [Q69] Vandalism at school Vandalism at school no yes System missing (SYSMIS) [Q70] When began (vandalism at school) When began (vandalism at school) 33

40 2. Variables this year in in 1993 or earlier System missing (SYSMIS) [Q71] Was the police notified? (vandalism at school) Was the police notified? (vandalism at school) no yes don t know System missing (SYSMIS) [Q72] Vandalism at school (in the past year) Vandalism at school (in the past year) no yes, times during the past year (continued on next page) 34

41 Q75 (cont. from previous page) System missing (SYSMIS) [Q74] Value of vandalised object (vandalism at school) Value of vandalised object (vandalism at school) Descriptive statistics statistic value number of valid cases 116 minimum 0.00 maximum mean standard deviation [Q75] Number of participants (vandalism at school) Number of participants (vandalism at school) one (the respondent alone) two (continued on next page) 35

42 2. Variables (cont. from previous page) three four five or more System missing (SYSMIS) [Q76] Got caught? (vandalism at school) Got caught? (vandalism at school) no yes System missing (SYSMIS) [Q77] Vandalism Vandalism no yes System missing (SYSMIS) [Q78] When began (vandalism) When began (vandalism) 36

43 Q80 this year in in 1993 or earlier System missing (SYSMIS) [Q79] Was the police notified? (vandalism) Was the police notified? (vandalism) no yes don t know System missing (SYSMIS) [Q80] Vandalism (in the past year) Vandalism (in the past year) no yes, times during the past year (continued on next page) 37

44 2. Variables (cont. from previous page) System missing (SYSMIS) [Q81] Vandalised object (vandalism) Vandalised object (vandalism) bus shelter bus or train seat bicycle other, what? streetlight(s) window trees, plants, flowers System missing (SYSMIS) [Q82] Value of vandalised object (vandalism) Value of vandalised object (vandalism) Descriptive statistics statistic value number of valid cases 154 minimum 0.00 (continued on next page) 38

45 Q84 (cont. from previous page) statistic value maximum mean standard deviation [Q83] When? (vandalism) When? (vandalism) on the way to school on weeknight at week-end during vacation System missing (SYSMIS) [Q84] Owner of the vandalised object (vandalism) Owner of the vandalised object (vandalism) city or municipality state railways other transport company other, who? teacher stranger don t know System missing (SYSMIS)

46 2. Variables [Q85] Number of participants (vandalism) Number of participants (vandalism) one (the respondent alone) two three four five or more System missing (SYSMIS) [Q86] Got caught? (vandalism) Got caught? (vandalism) no yes System missing (SYSMIS) [Q87] Shoplifting (meaning here stealing from a shop or a kiosque) Shoplifting (meaning here stealing from a shop or a kiosque) no (continued on next page) 40

47 Q90 (cont. from previous page) yes System missing (SYSMIS) [Q88] When began (shoplifting) When began (shoplifting) this year in in 1993 or earlier System missing (SYSMIS) [Q89] Was the police notified? (shoplifting) Was the police notified? (shoplifting) no yes don t know System missing (SYSMIS) [Q90] Was it a phase of life? (shoplifting) Was it a phase of life? (shoplifting) 41

48 2. Variables no yes System missing (SYSMIS) [Q91] Age during this phase? (shoplifting) Age during this phase? (shoplifting) Descriptive statistics statistic value number of valid cases 315 minimum 7.00 maximum mean standard deviation 1.84 [Q92] Duration of phase in weeks (shoplifting) Duration of phase in weeks (shoplifting) Descriptive statistics statistic value number of valid cases 298 minimum 0.00 maximum mean standard deviation [Q93] Number of thefts during this phase (shoplifting) Number of thefts during this phase (shoplifting) 42

49 Q95 Descriptive statistics statistic value number of valid cases 210 minimum 1.00 maximum mean standard deviation [Q94] Shoplifting (in the past year) Shoplifting (in the past year) no yes, times during the past year System missing (SYSMIS) [Q95] Stole from where? (shoplifting) Stole from where? (shoplifting) 43

50 2. Variables from a grocery from a kiosk/stall from a department store other shop System missing (SYSMIS) [Q96] When? (shoplifting) When? (shoplifting) on the way to or from school during the break during the lesson at week-end other time System missing (SYSMIS) [Q97] Stole what? (shoplifting) Stole what? (shoplifting) sweets food cigarettes alcohol make-up trinkets/jewellery (continued on next page) 44

51 Q99 (cont. from previous page) clothes hobby/recreation equipment electronics journals recordings (cd, cassette etc.) other sweets and cigarettes make-up and records, cassettes sweets and records, cassettes clothes and make-up cigarettes and alcohol System missing (SYSMIS) [Q98] Value of the stolen object (shoplifting) Value of the stolen object (shoplifting) Descriptive statistics statistic value number of valid cases 190 minimum 1.00 maximum mean standard deviation [Q99] Number of participants (shoplifting) Number of participants (shoplifting) one (the respondent alone) (continued on next page) 45

52 2. Variables (cont. from previous page) two three four five or more System missing (SYSMIS) [Q100] Got caught? (shoplifting) Got caught? (shoplifting) no yes System missing (SYSMIS) [Q101] Stealing from school Stealing from school no yes System missing (SYSMIS) [Q102] When began (stealing from school) When began (stealing from school) 46

53 Q104 this year in in 1993 or earlier System missing (SYSMIS) [Q103] Was the police notified? (stealing from school) Was the police notified? (stealing from school) no yes don t know System missing (SYSMIS) [Q104] Stealing from school (in the past year) Stealing from school (in the past year) no yes, times during the past year (continued on next page) 47

54 2. Variables (cont. from previous page) System missing (SYSMIS) [Q105] Stole what? (stealing from school) Stole what? (stealing from school) pens, erasers etc stationery (exercise books) journals, books money other sports equipment pens, erasers etc. and stationery (exercise books) pens, erasers etc. and journals, books stationery (exercise books) and journals, books System missing (SYSMIS) [Q106] Value of stolen object? (stealing from school) Value of stolen object? (stealing from school) Descriptive statistics statistic value number of valid cases 356 (continued on next page) 48

55 Q108 (cont. from previous page) statistic value minimum 0.00 maximum mean standard deviation [Q107] Owner of stolen object? (stealing from school) Owner of stolen object? (stealing from school) school another pupil teacher stranger someone else, who? System missing (SYSMIS) [Q108] Number of participants (stealing from school) Number of participants (stealing from school) one (the respondent alone) two three four five or more System missing (SYSMIS)

56 2. Variables [Q109] Got caught? (stealing from school) Got caught? (stealing from school) no yes System missing (SYSMIS) [Q110] Stealing from home Stealing from home no yes System missing (SYSMIS) [Q111] When began (stealing from home) When began (stealing from home) this year in in 1993 or earlier System missing (SYSMIS)

57 Q113 [Q112] Was the police notified? (stealing from home) Was the police notified? (stealing from home) no yes don t know System missing (SYSMIS) [Q113] Stealing from home (in the past year) Stealing from home (in the past year) no yes, times during the past year System missing (SYSMIS) (continued on next page) 51

58 2. Variables (cont. from previous page) [Q114] Stole what? (stealing from home) Stole what? (stealing from home) money cigarettes alcohol sweets food something else money and cigarettes money and alcohol money, cigarettes and alcohol money and food cigarettes and alcohol money and sweets money and TV System missing (SYSMIS) [Q115] Value of the stolen object (stealing from home) Value of the stolen object (stealing from home) Descriptive statistics statistic value number of valid cases 240 minimum 1.00 maximum (continued on next page) 52

59 Q117 (cont. from previous page) statistic value mean standard deviation [Q116] Owner of the stolen object? (stealing from home) Owner of the stolen object? (stealing from home) parents father mother sister or brother someone else, who? System missing (SYSMIS) [Q117] Number of participants (stealing from home) Number of participants (stealing from home) one (the respondent alone) two three four five or more System missing (SYSMIS)

60 2. Variables [Q118] Got caught? (stealing from home) Got caught? (stealing from home) no yes System missing (SYSMIS) [Q119] Buying stolen goods Buying stolen goods no yes System missing (SYSMIS) [Q120] When began (buying stolen goods) When began (buying stolen goods) this year in in 1993 or earlier System missing (SYSMIS)

61 Q123 [Q121] Was the police notified? (buying stolen goods) Was the police notified? (buying stolen goods) no yes don t know System missing (SYSMIS) [Q122] Buying stolen goods (in the past year) Buying stolen goods (in the past year) no yes, times during the past year System missing (SYSMIS) [Q123] Bought what? (buying stolen goods) Bought what? (buying stolen goods) 55

62 2. Variables sweets food cigarettes alcohol make-up trinkets/jewellery clothes hobby/recreation equipment electronics bicycle moped or moped parts records, cassettes other sweets and alcohol cigarettes and sweets clothes and cigarettes cigarettes and alcohol alcohol and drugs System missing (SYSMIS) [Q124] Paid how much? (buying stolen goods) Paid how much? (buying stolen goods) Descriptive statistics statistic value number of valid cases 113 minimum 0.00 maximum mean standard deviation [Q125] The real value of the stolen object (buying stolen goods) The real value of the stolen object (buying stolen goods) Descriptive statistics 56

63 Q128 statistic value number of valid cases 115 minimum 2.00 maximum mean standard deviation [Q126] Number of participants (buying stolen goods) Number of participants (buying stolen goods) one (the respondent alone) two three four five or more System missing (SYSMIS) [Q127] Got caught? (buying stolen goods) Got caught? (buying stolen goods) no yes System missing (SYSMIS) [Q128] Bullying at school Bullying at school 57

64 2. Variables no yes System missing (SYSMIS) [Q129] When began (bullying at school) When began (bullying at school) this year in in 1993 or earlier System missing (SYSMIS) [Q130] Bullying at school (in the past year) Bullying at school (in the past year) no yes, times during the past year (continued on next page) 58

65 Q132 (cont. from previous page) System missing (SYSMIS) [Q131] Bullying method (bullying at school) Bullying method (bullying at school) mental (for example baiting, name-calling, discrimination) physical mental and physical System missing (SYSMIS) [Q132] Reason for bullying: overweight (bullying at school) Reason for bullying: overweight (bullying at school) no (continued on next page) 59

66 2. Variables (cont. from previous page) yes System missing (SYSMIS) [Q133] Physical disability (bullying at school) Physical disability (bullying at school) no yes System missing (SYSMIS) [Q134] Clothes (bullying at school) Clothes (bullying at school) no yes System missing (SYSMIS) [Q135] Good relationship with teachers (bullying at school) Good relationship with teachers (bullying at school) 60

67 Q138 no yes System missing (SYSMIS) [Q136] Way of speaking or speech defect (bullying at school) Way of speaking or speech defect (bullying at school) no yes System missing (SYSMIS) [Q137] Foreign origins (bullying at school) Foreign origins (bullying at school) no yes System missing (SYSMIS) [Q138] Religious views (bullying at school) Religious views (bullying at school) 61

68 2. Variables no yes System missing (SYSMIS) [Q139] Success at school (bullying at school) Success at school (bullying at school) no yes System missing (SYSMIS) [Q140] Political views (bullying at school) Political views (bullying at school) no yes System missing (SYSMIS) [Q141] Revenge (bullying at school) Revenge (bullying at school) 62

69 Q144 no yes System missing (SYSMIS) [Q142] Some other reason (bullying at school) Some other reason (bullying at school) no yes System missing (SYSMIS) [Q143] Number of participants (bullying at school) Number of participants (bullying at school) one (the respondent alone) two three four five or more System missing (SYSMIS) [Q144] Got caught? (bullying at school) Got caught? (bullying at school) 63

70 2. Variables no yes System missing (SYSMIS) [Q145] Caught how? (bullying at school) Caught how? (bullying at school) teacher witnessed the bullying victim reported to a teacher another pupil reported to a teacher victim told his/her parents another pupil told his/her parents otherwise, how? System missing (SYSMIS) [Q146] Received punishment? (bullying at school) Received punishment? (bullying at school) no yes, the punishment was System missing (SYSMIS)

71 Q149 [Q147] Participation in a fight Participation in a fight no yes System missing (SYSMIS) [Q148] When began (participation in a fight) When began (participation in a fight) this year in in 1993 or earlier System missing (SYSMIS) [Q149] Was the police notified? (participation in a fight) Was the police notified? (participation in a fight) no yes don t know (continued on next page) 65

72 2. Variables (cont. from previous page) System missing (SYSMIS) [Q150] Participation in a fight (in the past year) Participation in a fight (in the past year) no yes, times during the past year System missing (SYSMIS) [Q152] Caused damage? (participation in a fight) Caused damage? (participation in a fight) no yes, to property yes, to person(s) (continued on next page) 66

73 Q155 (cont. from previous page) yes, to person(s) and property System missing (SYSMIS) [Q153] Number of participants (participation in a fight) Number of participants (participation in a fight) Descriptive statistics statistic value number of valid cases 151 minimum 0.00 maximum mean 5.86 standard deviation [Q154] Got caught? (participation in a fight) Got caught? (participation in a fight) no yes System missing (SYSMIS) [Q155] Assault (beating up somebody) Assault (beating up somebody) 67

74 2. Variables no yes System missing (SYSMIS) [Q156] When began (assault) When began (assault) this year in in 1993 or earlier System missing (SYSMIS) [Q157] Was the police notified? (assault) Was the police notified? (assault) no yes don t know System missing (SYSMIS) [Q158] Assault (in the past year) Assault (in the past year) 68

75 Q160 no yes, times during the past year System missing (SYSMIS) [Q159] Did the victim need treatment? (assault) Did the victim need treatment? (assault) no yes, but first aid was sufficient he/she received first aid and had a med. examination later he/she needed hospital treatment other, what? System missing (SYSMIS) [Q160] Who was the victim? (assault) Who was the victim? (assault) pupil at the same school (continued on next page) 69

76 2. Variables (cont. from previous page) friend teacher stranger someone else, who? System missing (SYSMIS) [Q161] Number of participants (assault) Number of participants (assault) one (the respondent alone) two three four five or more System missing (SYSMIS) [Q162] Got caught? (assault) Got caught? (assault) no yes System missing (SYSMIS)

77 Q165 [Q163] Use of mild drugs (marihuana or hasis) Use of mild drugs (marihuana or hasis) no yes System missing (SYSMIS) [Q164] When began (use of mild drugs) When began (use of mild drugs) this year in in 1993 or earlier System missing (SYSMIS) [Q165] Was the police notified? (use of mild drugs) Was the police notified? (use of mild drugs) no yes don t know (continued on next page) 71

78 2. Variables (cont. from previous page) System missing (SYSMIS) [Q166] Use of mild drugs (in the past year) Use of mild drugs (in the past year) no yes, times during the past year System missing (SYSMIS) [Q167] How many doses smoked? (use of mild drugs) How many doses smoked? (use of mild drugs) Descriptive statistics statistic value number of valid cases 61 minimum 1.00 (continued on next page) 72

79 Q170 (cont. from previous page) statistic value maximum mean 2.52 standard deviation 5.08 [Q168] Paid how much? (use of mild drugs) Paid how much? (use of mild drugs) Descriptive statistics statistic value number of valid cases 58 minimum 0.00 maximum mean standard deviation [Q169] Number of participants (use of mild drugs) Number of participants (use of mild drugs) one (the respondent alone) two three four five or more System missing (SYSMIS) [Q170] Got caught? (use of mild drugs) Got caught? (use of mild drugs) 73

80 2. Variables no yes System missing (SYSMIS) [Q171] Misuse of prescribed drugs Misuse of prescribed drugs no yes System missing (SYSMIS) [Q172] When began (misuse of prescribed drugs) When began (misuse of prescribed drugs) this year in in 1993 or earlier System missing (SYSMIS) [Q173] Was the police notified? (misuse of prescribed drugs) Was the police notified? (misuse of prescribed drugs) 74

FSD1140. Juvenile Delinquency in Finland 1996. Codebook

FSD1140. Juvenile Delinquency in Finland 1996. Codebook FSD1140 Juvenile Delinquency in Finland 1996 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE c Finnish Social Science Data Archive, 2001 The bibliographic citation for this codebook: Juvenile Delinquency

Lisätiedot

MEETING PEOPLE COMMUNICATIVE QUESTIONS

MEETING PEOPLE COMMUNICATIVE QUESTIONS Tiistilän koulu English Grades 7-9 Heikki Raevaara MEETING PEOPLE COMMUNICATIVE QUESTIONS Meeting People Hello! Hi! Good morning! Good afternoon! How do you do? Nice to meet you. / Pleased to meet you.

Lisätiedot

Results on the new polydrug use questions in the Finnish TDI data

Results on the new polydrug use questions in the Finnish TDI data Results on the new polydrug use questions in the Finnish TDI data Multi-drug use, polydrug use and problematic polydrug use Martta Forsell, Finnish Focal Point 28/09/2015 Martta Forsell 1 28/09/2015 Esityksen

Lisätiedot

FSD2976. Juvenile Delinquency in Finland Codebook

FSD2976. Juvenile Delinquency in Finland Codebook FSD2976 Juvenile Delinquency in Finland 2012 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE The bibliographic citation for this codebook: Juvenile Delinquency in Finland 2012 [codebook]. Tampere: Finnish

Lisätiedot

FSD2976. Juvenile Delinquency in Finland Codebook

FSD2976. Juvenile Delinquency in Finland Codebook FSD2976 Juvenile Delinquency in Finland 2012 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE The bibliographic citation for this codebook: Juvenile Delinquency in Finland 2012 [codebook]. Finnish Social Science

Lisätiedot

Capacity Utilization

Capacity Utilization Capacity Utilization Tim Schöneberg 28th November Agenda Introduction Fixed and variable input ressources Technical capacity utilization Price based capacity utilization measure Long run and short run

Lisätiedot

Information on preparing Presentation

Information on preparing Presentation Information on preparing Presentation Seminar on big data management Lecturer: Spring 2017 20.1.2017 1 Agenda Hints and tips on giving a good presentation Watch two videos and discussion 22.1.2017 2 Goals

Lisätiedot

Curriculum. Gym card

Curriculum. Gym card A new school year Curriculum Fast Track Final Grading Gym card TET A new school year Work Ethic Detention Own work Organisation and independence Wilma TMU Support Services Well-Being CURRICULUM FAST TRACK

Lisätiedot

On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31)

On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31) On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31) Juha Kahkonen Click here if your download doesn"t start automatically On instrument costs

Lisätiedot

Uusi Ajatus Löytyy Luonnosta 4 (käsikirja) (Finnish Edition)

Uusi Ajatus Löytyy Luonnosta 4 (käsikirja) (Finnish Edition) Uusi Ajatus Löytyy Luonnosta 4 (käsikirja) (Finnish Edition) Esko Jalkanen Click here if your download doesn"t start automatically Uusi Ajatus Löytyy Luonnosta 4 (käsikirja) (Finnish Edition) Esko Jalkanen

Lisätiedot

On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31)

On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31) On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31) Juha Kahkonen Click here if your download doesn"t start automatically On instrument costs

Lisätiedot

On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31)

On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31) On instrument costs in decentralized macroeconomic decision making (Helsingin Kauppakorkeakoulun julkaisuja ; D-31) Juha Kahkonen Click here if your download doesn"t start automatically On instrument costs

Lisätiedot

Choose Finland-Helsinki Valitse Finland-Helsinki

Choose Finland-Helsinki Valitse Finland-Helsinki Write down the Temporary Application ID. If you do not manage to complete the form you can continue where you stopped with this ID no. Muista Temporary Application ID. Jos et onnistu täyttää lomake loppuun

Lisätiedot

Network to Get Work. Tehtäviä opiskelijoille Assignments for students. www.laurea.fi

Network to Get Work. Tehtäviä opiskelijoille Assignments for students. www.laurea.fi Network to Get Work Tehtäviä opiskelijoille Assignments for students www.laurea.fi Ohje henkilöstölle Instructions for Staff Seuraavassa on esitetty joukko tehtäviä, joista voit valita opiskelijaryhmällesi

Lisätiedot

OP1. PreDP StudyPlan

OP1. PreDP StudyPlan OP1 PreDP StudyPlan PreDP The preparatory year classes are in accordance with the Finnish national curriculum, with the distinction that most of the compulsory courses are taught in English to familiarize

Lisätiedot

TIEKE Verkottaja Service Tools for electronic data interchange utilizers. Heikki Laaksamo

TIEKE Verkottaja Service Tools for electronic data interchange utilizers. Heikki Laaksamo TIEKE Verkottaja Service Tools for electronic data interchange utilizers Heikki Laaksamo TIEKE Finnish Information Society Development Centre (TIEKE Tietoyhteiskunnan kehittämiskeskus ry) TIEKE is a neutral,

Lisätiedot

FSD1048. Young People and Presidential Elections Codebook

FSD1048. Young People and Presidential Elections Codebook FSD1048 Young People and Presidential Elections 2000 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE c Finnish Social Science Data Archive, 2000 The bibliographic citation for this codebook: Young People

Lisätiedot

Salasanan vaihto uuteen / How to change password

Salasanan vaihto uuteen / How to change password Salasanan vaihto uuteen / How to change password Sisällys Salasanakäytäntö / Password policy... 2 Salasanan vaihto verkkosivulla / Change password on website... 3 Salasanan vaihto matkapuhelimella / Change

Lisätiedot

FSD1243. Finnish Sex Survey Codebook

FSD1243. Finnish Sex Survey Codebook FSD1243 Finnish Sex Survey 1992 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE The bibliographic citation for this codebook: Finnish Sex Survey 1992 [codebook]. Finnish Social Science Data Archive [producer

Lisätiedot

ESITTELY. Valitse oppilas jonka haluaisit esitellä luokallesi ja täytä alla oleva kysely. Age. Lives in. Family. Pets. Hobbies.

ESITTELY. Valitse oppilas jonka haluaisit esitellä luokallesi ja täytä alla oleva kysely. Age. Lives in. Family. Pets. Hobbies. ESITTELY Valitse oppilas jonka haluaisit esitellä luokallesi ja täytä alla oleva kysely NOTES ON Age Manor House pupil s name Lives in Family Pets Hobbies Favourite food Favourite films TV programmes Favourite

Lisätiedot

AYYE 9/ HOUSING POLICY

AYYE 9/ HOUSING POLICY AYYE 9/12 2.10.2012 HOUSING POLICY Mission for AYY Housing? What do we want to achieve by renting apartments? 1) How many apartments do we need? 2) What kind of apartments do we need? 3) To whom do we

Lisätiedot

Opiskelijoiden ajatuksia koulun alkuun liittyen / students thoughts about the beginning of their studies at KSYK

Opiskelijoiden ajatuksia koulun alkuun liittyen / students thoughts about the beginning of their studies at KSYK Opiskelijoiden ajatuksia koulun alkuun liittyen / students thoughts about the beginning of their studies at KSYK Helppoa/mukavaa/palkitsevaa - easy/nice/rewarding - uudet ystävät/ new friends - koulun

Lisätiedot

National Building Code of Finland, Part D1, Building Water Supply and Sewerage Systems, Regulations and guidelines 2007

National Building Code of Finland, Part D1, Building Water Supply and Sewerage Systems, Regulations and guidelines 2007 National Building Code of Finland, Part D1, Building Water Supply and Sewerage Systems, Regulations and guidelines 2007 Chapter 2.4 Jukka Räisä 1 WATER PIPES PLACEMENT 2.4.1 Regulation Water pipe and its

Lisätiedot

Kysymys 5 Compared to the workload, the number of credits awarded was (1 credits equals 27 working hours): (4)

Kysymys 5 Compared to the workload, the number of credits awarded was (1 credits equals 27 working hours): (4) Tilasto T1106120-s2012palaute Kyselyn T1106120+T1106120-s2012palaute yhteenveto: vastauksia (4) Kysymys 1 Degree programme: (4) TIK: TIK 1 25% ************** INF: INF 0 0% EST: EST 0 0% TLT: TLT 0 0% BIO:

Lisätiedot

1. Gender - Sukupuoli N = 65. 2. Age - Ikä N = 65. Female Nainen. Male Mies 20-24 25-29 30-34 35-39 40-44 45-49 50-

1. Gender - Sukupuoli N = 65. 2. Age - Ikä N = 65. Female Nainen. Male Mies 20-24 25-29 30-34 35-39 40-44 45-49 50- Aalto Doctoral Programme in Science, Follow-up Questionnaire for Doctoral Students - Perustieteiden tohtoriohjelma, seurantakysely jatko-opiskelijoille (22 % answered to the questionnaire) 1. Gender -

Lisätiedot

FinFamily PostgreSQL installation ( ) FinFamily PostgreSQL

FinFamily PostgreSQL installation ( ) FinFamily PostgreSQL FinFamily PostgreSQL 1 Sisällys / Contents FinFamily PostgreSQL... 1 1. Asenna PostgreSQL tietokanta / Install PostgreSQL database... 3 1.1. PostgreSQL tietokannasta / About the PostgreSQL database...

Lisätiedot

Information on Finnish Courses Autumn Semester 2017 Jenni Laine & Päivi Paukku Centre for Language and Communication Studies

Information on Finnish Courses Autumn Semester 2017 Jenni Laine & Päivi Paukku Centre for Language and Communication Studies Information on Finnish Courses Autumn Semester 2017 Jenni Laine & Päivi Paukku 24.8.2017 Centre for Language and Communication Studies Puhutko suomea? -Hei! -Hei hei! -Moi! -Moi moi! -Terve! -Terve terve!

Lisätiedot

ESITTELY. Valitse oppilas jonka haluaisit esitellä luokallesi ja täytä alla oleva kysely. Age Grade Getting to school. School day.

ESITTELY. Valitse oppilas jonka haluaisit esitellä luokallesi ja täytä alla oleva kysely. Age Grade Getting to school. School day. ESITTELY Valitse oppilas jonka haluaisit esitellä luokallesi ja täytä alla oleva kysely NOTES ON McMath student s name Age Grade Getting to school School day Favorite subjects Least favorite subjects Electives

Lisätiedot

Information on Finnish Language Courses Spring Semester 2018 Päivi Paukku & Jenni Laine Centre for Language and Communication Studies

Information on Finnish Language Courses Spring Semester 2018 Päivi Paukku & Jenni Laine Centre for Language and Communication Studies Information on Finnish Language Courses Spring Semester 2018 Päivi Paukku & Jenni Laine 4.1.2018 Centre for Language and Communication Studies Puhutko suomea? -Hei! -Hei hei! -Moi! -Moi moi! -Terve! -Terve

Lisätiedot

Rotarypiiri 1420 Piiriapurahoista myönnettävät stipendit

Rotarypiiri 1420 Piiriapurahoista myönnettävät stipendit Rotarypiiri 1420 Piiriapurahoista myönnettävät stipendit Ø Rotarypiiri myöntää stipendejä sille osoitettujen hakemusten perusteella ensisijaisesti rotaryaatteen mukaisiin tarkoituksiin. Ø Stipendejä myönnetään

Lisätiedot

Palveluiden asiakastyytyväisyyskysely

Palveluiden asiakastyytyväisyyskysely Palveluiden asiakastyytyväisyyskysely Yhteenvetoa (Summary in English, see below) Sakari Heikkilä Kehityspalvelut Kyselystä Henkilöstölle suunnattu kysely oli avoinna 2.3.-26.3. Uutista ja siihen liittyviä

Lisätiedot

Efficiency change over time

Efficiency change over time Efficiency change over time Heikki Tikanmäki Optimointiopin seminaari 14.11.2007 Contents Introduction (11.1) Window analysis (11.2) Example, application, analysis Malmquist index (11.3) Dealing with panel

Lisätiedot

FSD1242. Finnish Sex Survey 1971. Codebook

FSD1242. Finnish Sex Survey 1971. Codebook FSD1242 Finnish Sex Survey 1971 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE c Finnish Social Science Data Archive, 2003 The bibliographic citation for this codebook: Finnish Sex Survey 1971 [codebook].

Lisätiedot

Information on Finnish Language Courses Spring Semester 2017 Jenni Laine

Information on Finnish Language Courses Spring Semester 2017 Jenni Laine Information on Finnish Language Courses Spring Semester 2017 Jenni Laine 4.1.2017 KIELIKESKUS LANGUAGE CENTRE Puhutko suomea? Do you speak Finnish? -Hei! -Moi! -Mitä kuuluu? -Kiitos, hyvää. -Entä sinulle?

Lisätiedot

1. Liikkuvat määreet

1. Liikkuvat määreet 1. Liikkuvat määreet Väitelauseen perussanajärjestys: SPOTPA (subj. + pred. + obj. + tapa + paikka + aika) Suora sanajärjestys = subjekti on ennen predikaattia tekijä tekeminen Alasääntö 1: Liikkuvat määreet

Lisätiedot

Other approaches to restrict multipliers

Other approaches to restrict multipliers Other approaches to restrict multipliers Heikki Tikanmäki Optimointiopin seminaari 10.10.2007 Contents Short revision (6.2) Another Assurance Region Model (6.3) Cone-Ratio Method (6.4) An Application of

Lisätiedot

FIS IMATRAN KYLPYLÄHIIHDOT Team captains meeting

FIS IMATRAN KYLPYLÄHIIHDOT Team captains meeting FIS IMATRAN KYLPYLÄHIIHDOT 8.-9.12.2018 Team captains meeting 8.12.2018 Agenda 1 Opening of the meeting 2 Presence 3 Organizer s personell 4 Jury 5 Weather forecast 6 Composition of competitors startlists

Lisätiedot

33 Lähiulkoilukerta Aluetyyppi, etäisyys Visit closetohome Type of area, distance distance 0,5 h > 0,5 h % ulkoilukerroista / of visits Ulkoiluharrastus / Outdoor activity Kuntokävely, kävelylenkkeily

Lisätiedot

Knowledge expectations from the perspective of aged dialysis patients

Knowledge expectations from the perspective of aged dialysis patients Knowledge expectations from the perspective of aged dialysis patients Mirkka Rantanen, RDH, MNS-student 1 Tapio Kallio, RN, MNSc 3 Kirsi Johansson, RN, PhD, Coordinator 1,2 Sanna Salanterä,RN, PhD, Professor

Lisätiedot

Miksi Suomi on Suomi (Finnish Edition)

Miksi Suomi on Suomi (Finnish Edition) Miksi Suomi on Suomi (Finnish Edition) Tommi Uschanov Click here if your download doesn"t start automatically Miksi Suomi on Suomi (Finnish Edition) Tommi Uschanov Miksi Suomi on Suomi (Finnish Edition)

Lisätiedot

FSD1195. EU Membership Referendum in Finland 1994. Codebook

FSD1195. EU Membership Referendum in Finland 1994. Codebook FSD1195 EU Membership Referendum in Finland 1994 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE c Finnish Social Science Data Archive, 2002 The bibliographic citation for this codebook: EU Membership Referendum

Lisätiedot

anna minun kertoa let me tell you

anna minun kertoa let me tell you anna minun kertoa let me tell you anna minun kertoa I OSA 1. Anna minun kertoa sinulle mitä oli. Tiedän että osaan. Kykenen siihen. Teen nyt niin. Minulla on oikeus. Sanani voivat olla puutteellisia mutta

Lisätiedot

Increase of opioid use in Finland when is there enough key indicator data to state a trend?

Increase of opioid use in Finland when is there enough key indicator data to state a trend? Increase of opioid use in Finland when is there enough key indicator data to state a trend? Martta Forsell, Finnish Focal Point 28.9.2015 Esityksen nimi / Tekijä 1 Martta Forsell Master of Social Sciences

Lisätiedot

16. Allocation Models

16. Allocation Models 16. Allocation Models Juha Saloheimo 17.1.27 S steemianalsin Optimointiopin seminaari - Sks 27 Content Introduction Overall Efficienc with common prices and costs Cost Efficienc S steemianalsin Revenue

Lisätiedot

EVALUATION FOR THE ERASMUS+-PROJECT, STUDENTSE

EVALUATION FOR THE ERASMUS+-PROJECT, STUDENTSE #1 Aloitettu: 6. marraskuuta 2015 9:03:38 Muokattu viimeksi: 6. marraskuuta 2015 9:05:26 Käytetty aika: 00:01:47 IP-osoite: 83.245.241.86 K1: Nationality Finnish K2: The program of the week has been very

Lisätiedot

Travel Getting Around

Travel Getting Around - Location Olen eksyksissä. Not knowing where you are Voisitko näyttää kartalta missä sen on? Asking for a specific location on a map Mistä täällä on? Asking for a specific...wc?...pankki / rahanvaihtopiste?...hotelli?...huoltoasema?...sairaala?...apteekki?...tavaratalo?...ruokakauppa?...bussipysäkki?

Lisätiedot

The CCR Model and Production Correspondence

The CCR Model and Production Correspondence The CCR Model and Production Correspondence Tim Schöneberg The 19th of September Agenda Introduction Definitions Production Possiblity Set CCR Model and the Dual Problem Input excesses and output shortfalls

Lisätiedot

TM ETRS-TM35FIN-ETRS89 WTG

TM ETRS-TM35FIN-ETRS89 WTG SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please look in WTG table WindPRO version 2.8.579

Lisätiedot

,0 Yes ,0 120, ,8

,0 Yes ,0 120, ,8 SHADOW - Main Result Calculation: Alue 2 ( x 9 x HH120) TuuliSaimaa kaavaluonnos Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered

Lisätiedot

Supplies

Supplies Supplies - 239150-2018 05/06/2018 S105 - - Supplies - Contract notice - Open procedure I. II. III. IV. VI. Finland-Oulu: Medical equipments 2018/S 105-239150 Contract notice Supplies Directive 2014/24/EU

Lisätiedot

Helsinki Metropolitan Area Council

Helsinki Metropolitan Area Council Helsinki Metropolitan Area Council Current events at YTV The future of YTV and HKL On the initiative of 4 city mayors the Helsinki region negotiation consortiums coordinating group have presented that:

Lisätiedot

Uusi Ajatus Löytyy Luonnosta 3 (Finnish Edition)

Uusi Ajatus Löytyy Luonnosta 3 (Finnish Edition) Uusi Ajatus Löytyy Luonnosta 3 (Finnish Edition) Esko Jalkanen Click here if your download doesn"t start automatically Uusi Ajatus Löytyy Luonnosta 3 (Finnish Edition) Esko Jalkanen Uusi Ajatus Löytyy

Lisätiedot

EUROOPAN PARLAMENTTI

EUROOPAN PARLAMENTTI EUROOPAN PARLAMENTTI 2004 2009 Kansalaisvapauksien sekä oikeus- ja sisäasioiden valiokunta 2008/0101(CNS) 2.9.2008 TARKISTUKSET 9-12 Mietintöluonnos Luca Romagnoli (PE409.790v01-00) ehdotuksesta neuvoston

Lisätiedot

FSD1011. Finnish Voter Barometer Codebook

FSD1011. Finnish Voter Barometer Codebook FSD1011 Finnish Voter Barometer 1983 Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE c Finnish Social Science Data Archive, 2000 The bibliographic citation for this codebook: Finnish Voter Barometer 1983

Lisätiedot

Business Opening. Arvoisa Herra Presidentti Very formal, recipient has a special title that must be used in place of their name

Business Opening. Arvoisa Herra Presidentti Very formal, recipient has a special title that must be used in place of their name - Opening Finnish Norwegian Arvoisa Herra Presidentti Very formal, recipient has a special title that must be used in place of their name Hyvä Herra, Formal, male recipient, name unknown Hyvä Rouva Formal,

Lisätiedot

1. SIT. The handler and dog stop with the dog sitting at heel. When the dog is sitting, the handler cues the dog to heel forward.

1. SIT. The handler and dog stop with the dog sitting at heel. When the dog is sitting, the handler cues the dog to heel forward. START START SIT 1. SIT. The handler and dog stop with the dog sitting at heel. When the dog is sitting, the handler cues the dog to heel forward. This is a static exercise. SIT STAND 2. SIT STAND. The

Lisätiedot

Immigration Studying. Studying - University. Stating that you want to enroll. Stating that you want to apply for a course.

Immigration Studying. Studying - University. Stating that you want to enroll. Stating that you want to apply for a course. - University I would like to enroll at a university. Stating that you want to enroll I want to apply for course. Stating that you want to apply for a course an undergraduate a postgraduate a PhD a full-time

Lisätiedot

TM ETRS-TM35FIN-ETRS89 WTG

TM ETRS-TM35FIN-ETRS89 WTG SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please look in WTG table WindPRO version 2.9.269

Lisätiedot

I. Principles of Pointer Year Analysis

I. Principles of Pointer Year Analysis I. Principles of Pointer Year Analysis Fig 1. Maximum (red) and minimum (blue) pointer years. 1 Fig 2. Principle of pointer year calculation. Fig 3. Skeleton plot graph created by Kinsys/Kigraph programme.

Lisätiedot

EARLY LEARNING PLAN / ENGLANTI VARHAISKASVATUSSUUNNITELMA

EARLY LEARNING PLAN / ENGLANTI VARHAISKASVATUSSUUNNITELMA EARLY LEARNING PLAN / ENGLANTI VARHAISKASVATUSSUUNNITELMA JYVÄSKYLÄN KAUPUNKI Dear Family, Home and the family are the most important growth environment and community for the child. Alongside with home,

Lisätiedot

MUSEOT KULTTUURIPALVELUINA

MUSEOT KULTTUURIPALVELUINA Elina Arola MUSEOT KULTTUURIPALVELUINA Tutkimuskohteena Mikkelin museot Opinnäytetyö Kulttuuripalvelujen koulutusohjelma Marraskuu 2005 KUVAILULEHTI Opinnäytetyön päivämäärä 25.11.2005 Tekijä(t) Elina

Lisätiedot

Supplies

Supplies Supplies - 239236-2018 05/06/2018 S105 - - Supplies - Contract notice - Open procedure I. II. III. IV. VI. Finland-Seinäjoki: Wheelchairs 2018/S 105-239236 Contract notice Supplies Directive 2014/24/EU

Lisätiedot

Työsuojelurahaston Tutkimus tutuksi - PalveluPulssi 11.3.2016. Peter Michelsson Wallstreet Asset Management Oy

Työsuojelurahaston Tutkimus tutuksi - PalveluPulssi 11.3.2016. Peter Michelsson Wallstreet Asset Management Oy Työsuojelurahaston Tutkimus tutuksi - PalveluPulssi 11.3.2016 Peter Michelsson Wallstreet Asset Management Oy Wallstreet lyhyesti Perustettu vuonna 2006, SiPa toimilupa myönnetty 3/2014 Täysin kotimainen,

Lisätiedot

RANTALA SARI: Sairaanhoitajan eettisten ohjeiden tunnettavuus ja niiden käyttö hoitotyön tukena sisätautien vuodeosastolla

RANTALA SARI: Sairaanhoitajan eettisten ohjeiden tunnettavuus ja niiden käyttö hoitotyön tukena sisätautien vuodeosastolla TURUN YLIOPISTO Hoitotieteen laitos RANTALA SARI: Sairaanhoitajan eettisten ohjeiden tunnettavuus ja niiden käyttö hoitotyön tukena sisätautien vuodeosastolla Pro gradu -tutkielma, 34 sivua, 10 liitesivua

Lisätiedot

ALOITUSKESKUSTELU / FIRST CONVERSATION

ALOITUSKESKUSTELU / FIRST CONVERSATION ALOITUSKESKUSTELU / FIRST CONVERSATION Lapsen nimi / Name of the child Lapsen ikä / Age of the child yrs months HYVINKÄÄN KAUPUNKI Varhaiskasvatuspalvelut Lapsen päivähoito daycare center / esiopetusyksikkö

Lisätiedot

Teacher's Professional Role in the Finnish Education System Katriina Maaranen Ph.D. Faculty of Educational Sciences University of Helsinki, Finland

Teacher's Professional Role in the Finnish Education System Katriina Maaranen Ph.D. Faculty of Educational Sciences University of Helsinki, Finland Teacher's Professional Role in the Finnish Education System Katriina Maaranen Ph.D. Faculty of Educational Sciences University of Helsinki, Finland www.helsinki.fi/yliopisto This presentation - Background

Lisätiedot

2017/S Contract notice. Supplies

2017/S Contract notice. Supplies Supplies 153936 2017 25/04/2017 S80 - - Supplies - Contract notice - Open procedure I. II. III. IV. VI. -: Medical equipments, pharmaceuticals and personal care products 2017/S 080-153936 Contract notice

Lisätiedot

FinFamily Installation and importing data (11.1.2016) FinFamily Asennus / Installation

FinFamily Installation and importing data (11.1.2016) FinFamily Asennus / Installation FinFamily Asennus / Installation 1 Sisällys / Contents FinFamily Asennus / Installation... 1 1. Asennus ja tietojen tuonti / Installation and importing data... 4 1.1. Asenna Java / Install Java... 4 1.2.

Lisätiedot

LUONNOS RT 80260 EN AGREEMENT ON BUILDING WORKS 1 THE PARTIES. May 1998 1 (10)

LUONNOS RT 80260 EN AGREEMENT ON BUILDING WORKS 1 THE PARTIES. May 1998 1 (10) RT 80260 EN May 1998 1 (10) AGREEMENT ON BUILDING WORKS This agreement template is based on the General Terms and Conditions of Building Contracts YSE 1998 RT 16-10660, LVI 03-10277, Ratu 417-7, KH X4-00241.

Lisätiedot

Hankintailmoitus: Pohjois-Savon sairaanhoitopiirin kuntayhtymä/kiinteistöyksikkö : Puijon sairaalan Pääaula-alueen uudistus, Sähköurakka

Hankintailmoitus: Pohjois-Savon sairaanhoitopiirin kuntayhtymä/kiinteistöyksikkö : Puijon sairaalan Pääaula-alueen uudistus, Sähköurakka Finland Tender Hankintailmoitus: Pohjois-Savon sairaanhoitopiirin kuntayhtymä/kiinteistöyksikkö : Puijon sairaalan Pääaula-alueen uudistus, Sähköurakka Tarjoukset 6.5.2011 klo 15.00 mennessä osoitteeseen:

Lisätiedot

Guidebook for Multicultural TUT Users

Guidebook for Multicultural TUT Users 1 Guidebook for Multicultural TUT Users WORKPLACE PIRKANMAA-hankkeen KESKUSTELUTILAISUUS 16.12.2010 Hyvää käytäntöä kehittämässä - vuorovaikutusopas kansainvälisille opiskelijoille TTY Teknis-taloudellinen

Lisätiedot

TM ETRS-TM35FIN-ETRS89 WTG

TM ETRS-TM35FIN-ETRS89 WTG VE1 SHADOW - Main Result Calculation: 8 x Nordex N131 x HH145m Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please

Lisätiedot

1.3 Lohkorakenne muodostetaan käyttämällä a) puolipistettä b) aaltosulkeita c) BEGIN ja END lausekkeita d) sisennystä

1.3 Lohkorakenne muodostetaan käyttämällä a) puolipistettä b) aaltosulkeita c) BEGIN ja END lausekkeita d) sisennystä OULUN YLIOPISTO Tietojenkäsittelytieteiden laitos Johdatus ohjelmointiin 811122P (5 op.) 12.12.2005 Ohjelmointikieli on Java. Tentissä saa olla materiaali mukana. Tenttitulokset julkaistaan aikaisintaan

Lisätiedot

Olet vastuussa osaamisestasi

Olet vastuussa osaamisestasi Olet vastuussa osaamisestasi Ohjelmistoammattilaisuuden uudet haasteet Timo Vehmaro 02-12-2015 1 Nokia 2015 Mitä osaamista tulevaisuudessa tarvitaan? Vahva perusosaaminen on kaiken perusta Implementaatio

Lisätiedot

FSD2955. Practices of Working Life 2012: Employers. Codebook

FSD2955. Practices of Working Life 2012: Employers. Codebook FSD2955 Practices of Working Life 2012: Employers Codebook FINNISH SOCIAL SCIENCE DATA ARCHIVE The bibliographic citation for this codebook: Practices of Working Life 2012: Employers [codebook]. Finnish

Lisätiedot

Arkkitehtuuritietoisku. eli mitä aina olet halunnut tietää arkkitehtuureista, muttet ole uskaltanut kysyä

Arkkitehtuuritietoisku. eli mitä aina olet halunnut tietää arkkitehtuureista, muttet ole uskaltanut kysyä Arkkitehtuuritietoisku eli mitä aina olet halunnut tietää arkkitehtuureista, muttet ole uskaltanut kysyä Esikysymys Kuinka moni aikoo suunnitella projektityönsä arkkitehtuurin? Onko tämä arkkitehtuuria?

Lisätiedot

This notice in TED website:

This notice in TED website: 1 / 6 This notice in TED website: http://ted.europa.eu/udl?uri=ted:notice:408042-2017:text:en:html -Vantaa: Health and social work services 2017/S 198-408042 Social and other specific services public contracts

Lisätiedot

Social and Regional Economic Impacts of Use of Bioenergy and Energy Wood Harvesting in Suomussalmi

Social and Regional Economic Impacts of Use of Bioenergy and Energy Wood Harvesting in Suomussalmi Social and Regional Economic Impacts of Use of Bioenergy and Energy Wood Harvesting in Suomussalmi Green Cities and Settlements 18.2.2014 Ville Manninen Writers Project group Sirpa Korhonen, Anna Mari

Lisätiedot

WindPRO version joulu 2012 Printed/Page :47 / 1. SHADOW - Main Result

WindPRO version joulu 2012 Printed/Page :47 / 1. SHADOW - Main Result SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please look in WTG table WindPRO version 2.8.579

Lisätiedot

Siirtymä maisteriohjelmiin tekniikan korkeakoulujen välillä Transfer to MSc programmes between engineering schools

Siirtymä maisteriohjelmiin tekniikan korkeakoulujen välillä Transfer to MSc programmes between engineering schools Siirtymä maisteriohjelmiin tekniikan korkeakoulujen välillä Transfer to MSc programmes between engineering schools Akateemisten asioiden komitea Academic Affairs Committee 11 October 2016 Eija Zitting

Lisätiedot

Perusoikeusbarometri. Panu Artemjeff Erityisasiantuntija

Perusoikeusbarometri. Panu Artemjeff Erityisasiantuntija Perusoikeusbarometri Panu Artemjeff Erityisasiantuntija Taustaa FRA toteuttaa vuoden aikana 2018 Fundamental Rights Survey-tutkimuksen Kansallisessa perus- ja ihmisoikeustoimintaohjelmassa valmisteltiin

Lisätiedot

Metsälamminkankaan tuulivoimapuiston osayleiskaava

Metsälamminkankaan tuulivoimapuiston osayleiskaava VAALAN KUNTA TUULISAIMAA OY Metsälamminkankaan tuulivoimapuiston osayleiskaava Liite 3. Varjostusmallinnus FCG SUUNNITTELU JA TEKNIIKKA OY 12.5.2015 P25370 SHADOW - Main Result Assumptions for shadow calculations

Lisätiedot

TM ETRS-TM35FIN-ETRS89 WTG

TM ETRS-TM35FIN-ETRS89 WTG SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please look in WTG table 5.11.2013 16:44 / 1 Minimum

Lisätiedot

Opeka self evaluation tool for teachers and schools about their digital profiles Oppika self evaluation tool for students about their digital profiles

Opeka self evaluation tool for teachers and schools about their digital profiles Oppika self evaluation tool for students about their digital profiles Opeka self evaluation tool for teachers and schools about their digital profiles Oppika self evaluation tool for students about their digital profiles Jarmo Viteli Research Director University of Tampere,

Lisätiedot

Tutkimusdata ja julkaiseminen Suomen Akatemian ja EU:n H2020 projekteissa

Tutkimusdata ja julkaiseminen Suomen Akatemian ja EU:n H2020 projekteissa Tutkimusdata ja julkaiseminen Suomen Akatemian ja EU:n H2020 projekteissa Tutkimusasiamies Kaisa Männikkö Tutkimus- ja innovaatiopalvelut Suomen Akatemian projektit Suomen Akatemia kehottaa avoimeen tieteelliseen

Lisätiedot

TM ETRS-TM35FIN-ETRS89 WTG

TM ETRS-TM35FIN-ETRS89 WTG SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please look in WTG table WindPRO version 2.8.579

Lisätiedot

TM ETRS-TM35FIN-ETRS89 WTG

TM ETRS-TM35FIN-ETRS89 WTG SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please look in WTG table WindPRO version 2.8.579

Lisätiedot

TM ETRS-TM35FIN-ETRS89 WTG

TM ETRS-TM35FIN-ETRS89 WTG SHADOW - Main Result Assumptions for shadow calculations Maximum distance for influence Calculate only when more than 20 % of sun is covered by the blade Please look in WTG table WindPRO version 2.8.579

Lisätiedot

SELL Student Games kansainvälinen opiskelijaurheilutapahtuma

SELL Student Games kansainvälinen opiskelijaurheilutapahtuma SELL Student Games kansainvälinen opiskelijaurheilutapahtuma Painonnosto 13.5.2016 (kansallinen, CUP) Below in English Paikka: Nääshalli Näsijärvenkatu 8 33210 Tampere Alustava aikataulu: Punnitus 12:00-13:00

Lisätiedot

Constructive Alignment in Specialisation Studies in Industrial Pharmacy in Finland

Constructive Alignment in Specialisation Studies in Industrial Pharmacy in Finland Constructive Alignment in Specialisation Studies in Industrial Pharmacy in Finland Anne Mari Juppo, Nina Katajavuori University of Helsinki Faculty of Pharmacy 23.7.2012 1 Background Pedagogic research

Lisätiedot

Area and population 3. Demographic changes 4. Housing 5. Municipal economy 6. Sectoral employment 7. Labour and work self-sufficiency 8

Area and population 3. Demographic changes 4. Housing 5. Municipal economy 6. Sectoral employment 7. Labour and work self-sufficiency 8 2004 Statistics Uusimaa Helsinki Region Area and population 3 Demographic changes 4 Housing 5 Municipal economy 6 Sectoral employment 7 Labour and work self-sufficiency 8 Unemployment 9 Transport 10 Age

Lisätiedot

Gap-filling methods for CH 4 data

Gap-filling methods for CH 4 data Gap-filling methods for CH 4 data Sigrid Dengel University of Helsinki Outline - Ecosystems known for CH 4 emissions; - Why is gap-filling of CH 4 data not as easy and straight forward as CO 2 ; - Gap-filling

Lisätiedot

koiran omistajille ja kasvattajille 2013 for dog owners and breeders in 2013

koiran omistajille ja kasvattajille 2013 for dog owners and breeders in 2013 Irlanninsusikoiran luonnekysely A survey of the temperament of Irish wolfhounds koiran omistajille ja kasvattajille 213 for dog owners and breeders in 213 Teksti / author: Jalostustoimikunta / breeding

Lisätiedot

TIETEEN PÄIVÄT OULUSSA 1.-2.9.2015

TIETEEN PÄIVÄT OULUSSA 1.-2.9.2015 1 TIETEEN PÄIVÄT OULUSSA 1.-2.9.2015 Oulun Yliopisto / Tieteen päivät 2015 2 TIETEEN PÄIVÄT Järjestetään Oulussa osana yliopiston avajaisviikon ohjelmaa Tieteen päivät järjestetään saman konseptin mukaisesti

Lisätiedot

56 Ulkoilun useus Koko vuosi Tammi maaliskuu Kesä elokuu Syys joulukuu ja ajankäyttö Year around January March June-August September December viikossa Weekly frequency and time use Ka / Mean Koko väestö

Lisätiedot

Kansallinen hankintailmoitus: Mikkelin ammattikorkeakoulu Oy : Palvelimet ja kytkin

Kansallinen hankintailmoitus: Mikkelin ammattikorkeakoulu Oy : Palvelimet ja kytkin Finland Tender Kansallinen hankintailmoitus: Mikkelin ammattikorkeakoulu Oy : Palvelimet ja kytkin Tarjoukset 8.4.2011 klo 12.00 mennessä osoitteeseen: Tarjous: Palvelimet ja kytkin, Janne Strömberg, MAMK.Satu

Lisätiedot

Tuloksia 100 marginaalissa elävän helsinkiläisen huumeiden käyttäjän haastatteluista

Tuloksia 100 marginaalissa elävän helsinkiläisen huumeiden käyttäjän haastatteluista Stadin nistit Tuloksia 100 marginaalissa elävän helsinkiläisen huumeiden käyttäjän haastatteluista * Lähde: Tuukka Tammi, Tuuli Pitkänen & Jussi Perälä (2011): Stadin nistit huonoosaisten helsinkiläisten

Lisätiedot

Hotel Pikku-Syöte: accommodation options and booking

Hotel Pikku-Syöte: accommodation options and booking Hotel Pikku-Syöte: accommodation options and booking 13 th European Forest Pedagogics Congress 2-5 October 2018 (Accomodation information in Finnish at the end) Hotel Pikku-Syöte has total of 82 rooms

Lisätiedot

Equality of treatment Public Services

Equality of treatment Public Services Equality of treatment Public Services Providing high-quality Public Services in Europe based on the values of Protocol 26 (TFEU), Warsaw 12.10.2012 Kristian Siikavirta, Doctor of Law 18.10.2012 1 University

Lisätiedot

Tynnyrivaara, OX2 Tuulivoimahanke. ( Layout 9 x N131 x HH145. Rakennukset Asuinrakennus Lomarakennus 9 x N131 x HH145 Varjostus 1 h/a 8 h/a 20 h/a

Tynnyrivaara, OX2 Tuulivoimahanke. ( Layout 9 x N131 x HH145. Rakennukset Asuinrakennus Lomarakennus 9 x N131 x HH145 Varjostus 1 h/a 8 h/a 20 h/a , Tuulivoimahanke Layout 9 x N131 x HH145 Rakennukset Asuinrakennus Lomarakennus 9 x N131 x HH145 Varjostus 1 h/a 8 h/a 20 h/a 0 0,5 1 1,5 km 2 SHADOW - Main Result Assumptions for shadow calculations

Lisätiedot