natgillin/translations-raw huggingface dataset:
Collected data are weighted for: i) unequal probability of selection and ii) non-response, and post-stratified according to statistical regions (12 groups), age groups (8 groups) and gender. 
Zbrani podatki so bili uteženi zaradi: i) neenake verjetnosti izbora gospodinjstev, ii) manjkajočih odgovorov (neodgovorov) ter post-stratificirani po statističnih regijah (12 skupin), starostnih skupinah (8 skupin) in spolu.
The overall non-response rate is 19.8% (in the previous quarter 19.9%) and the refusal rate is 13.2 % (in the previous quarter 12.1%). 
Celotna stopnja neodgovora je znašala 19,8 % (v prejšnjem četrtletju 19,9 %), stopnja zavračanja pa je znašala 13,2 % (v prejšnjem četrtletju 12,1 %).
In the new part of the sample the non-response rate is 30.4% (in the previous quarter 31.6%) and the refusal rate is 19.6% (in the previous quarter 16.9%). 
Stopnja neodgovora v novem delu vzorca je znašala 30,4 % (v prejšnjem četrtletju 31,6 %), stopnja zavračanja pa 19,6 % (v prejšnjem četrtletju 16,9 %).
In the panel part of the sample the rates are 14.7% and 10.1% (in the previous quarter 14.4% and 9,9%), in the telephone interviewing the rates are 15.0% and 10.3%, and in the face-to-face interviewing of the panel part of the sample 10.9% and 7.5%. 
V panelnem delu sta bili stopnji 14,7 % oz. 10,1 % (v prejšnjem četrtletju 14,4 % oz. 9,9 %), v telefonskem anketiranju 15,0 % oz. 10,3 % ter pri osebnem anketiranju v panelnem delu 10,9 % oz. 7,5 %.
The number of self-employed slightly decreased (from 123,000 to 118,000), while the number of employees decreased significantly (from 792,000 to 773,000). 
Število samozaposlenih je upadlo v manjšem obsegu (s 123.000 na 118.000), precej bolj pa se je znižalo število tistih zaposlenih, ki so bili v delovnem razmerju (z 792.000 na 773.000).
Reference period Persons are included among employed, unemployed or inactive according to their activity in the week preceding the interview (from Monday to Sunday). 
Poročevalsko obdobje Osebe so vključene med delovno aktivne, brezposelne ali neaktivne osebe glede na njihovo aktivnost v tednu pred anketiranjem (od ponedeljka do nedelje).
Employees in labour relation are those who work in an enterprise or organisation, at an individual private entrepreneur (artisan), at a farmer, at a freelance or via public works. 
Med zaposlene v delovnem razmerju štejemo osebe, ki so zaposlene v podjetjih ali organizacijah, pri obrtnikih, kmetih, osebah v svobodnih poklicih, in osebe, ki delajo preko javnih del.
Employees performing other forms of work are those who perform contract work, cash in hand work or are apprentices or trainees. 
Med zaposlene, ki opravljajo druge oblike dela, sodijo osebe, ki opravljajo pogodbeno delo ali delajo za neposredno plačilo, ter vajenci ini praktikanti.
Unemployed are those who during the last week prior to the interview: − did not work (not in paid employment or self-employment and did not do any paid work); − were actively seeking work (specific steps were taken in the past four weeks to seek paid employment or self-employment); − were currently available for work (within two weeks). 
Brezposelni so osebe, ki v zadnjem tednu pred anketiranjem: − niso delale (niso bile zaposlene ali samozaposlene in niso opravile nikakršnega dela za plačilo), vendar − aktivno iščejo delo (v zadnjih štirih tednih so se zglasile na zavodu za zaposlovanje, poslale prošnjo za zaposlitev ipd.) in − so takoj (v naslednjih dveh tednih) pripravljene sprejeti delo.
Persons who had found a job to start later are also included among unemployed persons. 
Med brezposelne štejemo tudi tiste, ki so že našli delo, vendar ga bodo začeli opravljati po anketiranju.
The labour force are employed and unemployed persons. 
Aktivni so delovno aktivni in brezposelni skupaj.
Inactive persons are those, aged 15 years and over, who are not classified as employed or as unemployed . 
Neaktivni so osebe, stare 15 ali več let, ki niso razvrščeni med delovno aktivne ali med brezposelne.
Activity rate represents the labour force as a percentage of the working age population. 
Stopnja aktivnosti je odstotni delež aktivnih med delovno sposobnimi.
Employment rate represents employed persons as a percentage of the working age population. 
Stopnja delovne aktivnosti je odstotni delež delovno aktivnih med delovno sposobnimi.
Unemployment rate represents unemployed persons as a percentage of the labour force. 
Stopnja brezposelnosti je odstotni delež brezposelnih med aktivnimi.
The SKP-08 is the new Standard Classification of Occupations which the Statistical Office of the Republic of Slovenia - in line with European Commission recommendations - has been gradually introducing into statistical surveys since early 2011. 
SKP-08 je nova veljavna standardna klasifikacija poklicev; Statistični urad RS jo skladno s priporočili Evropske komisije postopoma uvaja v statistična raziskovanja od začetka leta 2011.
The SKP-08 replaced the previous SKP-V2 and is based on the updated International Standard Classification of Occupations 2008 (ISCO-08). 
SKP-08 je zamenjala prej veljavno SKP-V2, temelji pa na posodobljeni Mednarodni standardni klasifikaciji poklicev 2008 (ISCO-08).
The SKP-08 and the SKP-V2 differ in the structure. 
SKP-08 in SKP-V2 se razlikujeta v strukturi.
Some previous groups of occupations were joined, some were split up, some were moved and some are completely new. 
Nekatere prejšnje skupine poklicev so združene, razdeljene, prestavljene, oblikovane pa so tudi nove.
Some shifts in occupations and groups of occupations have been made at the first classification level, although the number of major groups remained the same (10). 
Nekaj premikov poklicev oz. skupin poklicev je izvedenih že na prvi klasifikacijski ravni, vendar je število glavnih skupin poklicev kljub temu ostalo enako (10).
The breakdown increased significantly at the second level, from 28 to 42 sub-major groups. 
Členitev je močno povečana na drugi klasifikacijski ravni, in sicer z 28 na 42 podskupin poklicev.
The greatest changes concern occupations from the fields of ICT, health, health care, services and management. 
Največje spremembe so pri poklicih s področja IKT, zdravstva, zdravstvene nege, storitvenih dejavnostih in pri menedžerskih poklicih.
The new SKP-08 is available at http://www.stat.si/klasje/ From 2008 onwards, a revised version of the classification of activities (Slovenian Standard Classification of Activities, SKD 2008, comparable to NACE Rev. 2) is used. 
Nova SKP-08 je dostopna na e-naslovu: http://www.stat.si/klasje/ Od leta 2008 uporabljamo za določanje področij aktivnosti novo različico Standardne klasifikacije dejavnosti, SKD 2008, ki je usklajena z mednarodno klasifikacijo NACE rev. 2.
For this purpose, the common classification of territorial units for statistics (NUTS) is used. 
Delitev Slovenije na kohezijski regiji temelji na Klasifikaciji statističnih teritorialnih enot (NUTS).
The 2011 Labour Force Survey is a rotating panel survey conducted continuously through the year. 
Anketa o delovni sili 2011 je rotirajoča panelna anketa, izvajamo jo nepretrgano vse leto.
The panel part represents four fifths of the sample and includes households which were selected for the first time in fourth quarter of 2009 and in first, third and fourth quarter of 2010. 
Panelni del obsega štiri petine celotnega vzorca, vključuje pa gospodinjstva, ki so bila v anketo prvič vključena v četrtem četrtletju leta 2009 ter v prvem, tretjem in četrtem četrtletju leta 2010.
Households included in the survey for the first time in first quarter of 2011 represent the new part of the sample. 
Gospodinjstva, ki so bila v anketo prvič vključena v prvem četrtletju leta 2011, pa sestavljajo novi del vzorca.
A stratified simple random sample is used. 
Uporabljen je bil stratificiran enostaven slučajni vzorčni načrt.
In the panel part there are 4,776 households and in the new part there are 2,379 households. 
V panelnem delu je bilo v anketo vključenih 4776 gospodinjstev, v novem delu pa 2379.
Deciles by soci-economic characteristics Most adults in developed societies have work and get paid for doing it. 
Decili glede na socialno-ekonomske značilnosti Večina odraslih oseb v razvitih družbah ima delo in večina teh oseb za to delo prejema plačilo.
What are the rules that determine the pay that people get for doing their work presents one of the most interesting aspects of the economic theory. 
Kakšna so pravila, po katerih se določa višino plačila, ki ga posamezna oseba prejme za opravljeno delo, je eno izmed zanimivejših vidikov, s katerimi se ukvarja ekonomska teorija.
Wage or salary namely depends on many factors; the relationship between the employer and the employee, country's wage legislation, amount and type of work, etc. These factors can either directly or indirectly affect the wage that an employed person receives. 
Plača je namreč odvisna od vrste dejavnikov, kot so odnos med delodajalcem in delojemalcem, plačna zakonodaja, količina in vrsta dela… Te lahko neposredno ali posredno vplivajo na višino plače zaposlene osebe.
There are many different approaches to analyze wages which can be used to estimate country's characteristics. 
Plače lahko analiziramo na več različnih načinov in nam kot take lahko služijo kot kazalnik ocene družbe.
For instance; average wage in a country may indicate the level of its development, wage legislation may help us to estimate the type of the country (in general, whether it is more “liberal” or more “social”), inequality of wages points to social inequality in the society. 
Na podlagi višine povprečne plače lahko na primer ocenimo, kako razvita je posamezna država, iz plačne zakonodaje je mogoče razbrati, za kakšen tip države gre (ta je v grobem lahko liberalen ali socialen); neenakost med plačami pa nakazuje splošno neenakost med odnosi znotraj družbe.
In the same way, analyzing deciles by different socio- demographic characteristics assures us better insight into the composition of the labour force and its wages. 
Analiza decilov nam glede na različne socialno-demografske značilnosti omogoča tudi boljši vpogled v sestavo delovne sile in njenih plač.
10% of total persons in paid employment classify into each decile, which are determined by certain range of wages. 
V vsak decil se uvrsti 10 % zaposlenih oseb, katerih plače se gibljejo v mejah, ki jih določa posamezni decil.
Having information about persons in paid employment and deciles to which they belong, enables us to analyze wage deciles according to similarities and differences of persons in paid employment within them. 
Razvrstitev zaposlenih oseb v plačne decile nam omogoča analizo decilov glede na to, kaj imajo zaposleni v posameznih decilu skupnega oziroma v čem se med seboj razlikujejo.
Small differences between genders In many countries, gender is an important determinant of incomes. 
Majhne razlike med spoloma V mnogih državah je spol pomembna determinanta dohodkov.
In every single EU Member State the average incomes of men are higher than women's. 
Prav v vseh državah članic EU so namreč povprečni dohodki moških višji od povprečnih dohodkov žensk.
In Slovenia the gender differences in pay were small but significant. 
V Sloveniji so razlike v plačah med spoloma majhne, a niso zanemarljive.
Regarding SILC data, Slovenia was one of the few EU Member States where incomes among men were more equally distributed than among women. 
Po podatkih raziskovanja SILC smo Slovenci celo ena redkih držav članic EU, v katerih so dohodki porazdeljeni med moškimi enakomerneje kot pa med ženskami glede na kazalnik razmerje kvintilnih razredov.
Wages grow with educational level and age Education assures better employment possibility as well as higher wages. 
Plača narašča s stopnjo izobrazbe in s starostjo Izobrazba zagotavlja osebi tako večje možnosti za zaposlitev kot tudi višje plače.
In 2009, the employment rate in EU among persons with tertiary education was 82.9%, while the employment rate among persons with completed basic education was 46.2%. 
Leta 2009 je bila stopnja delovne aktivnosti v EU med osebami z doseženo najmanj terciarno izobrazbo 82,9-odstotna, med osebami, ki so končale največ osnovo šolo, pa 46,2-odstotna.
The ratio between average incomes of highly educated and less educated differs from country to country. 
Razmerja med povprečnimi dohodki visoko izobraženih in manj izobraženih so v posameznih državah zelo različna.
In 2009, the ratio was the highest in Romania, where average incomes of persons with tertiary education were more than 2.5 times higher than average incomes of persons with basic education or less. 
Leta 2009 je bil ta razpon največji v Romuniji; tam so bili povprečni dohodki oseb z višjo in visoko izobrazbo več kot 2,5-krat višji od povprečnih dohodkov oseb z osnovnošolsko izobrazbo ali nižjo od te.
In 2009, most of persons in paid employment with tertiary education fell into higher deciles according to their wage. 
Leta 2009 so se v Sloveniji v višje decile dohodkov iz dela uvrstili predvsem visoko- in višješolsko izobraženi.
Persons in paid employment with upper secondary education were very equally distributed over all wage deciles; only in the tenth decile there were fewer of them (2.7%). 
Srednje izobraženi so bili razporejeni med vse decile dokaj enakomerno, le v najvišjem, desetem decilu jih je bilo manj (2,7 %).
Persons in paid employment with basic education or less were prevalent in the lower five deciles (85.5%). 
Zaposlene osebe z osnovnošolsko izobrazbo ali brez izobrazbe so prevladovale v prvih petih decilih, in sicer se jih je v prvih pet decilov glede na plačo uvrstilo 85,5 %.
Among persons in paid employment aged 15 to 24, more than three quarters were in the first four deciles. 
Med mladimi v starosti od 15 do 24 let se jih je tako več kot tri četrt uvrstilo v prve štiri plačne decile.
On the other hand, almost half of persons in paid employment older than 55 years were in the highest three deciles, thus many older workers were among better paid persons in paid employment. 
Med zaposlenimi osebami v starosti nad 55 let pa se jih je skoraj polovica uvrstila v zgornje tri plačne decile, torej je bilo med zaposlenimi starejšimi veliko takih, ki so spadali med bolje plačane zaposlene.
Persons in paid employment in middle wage deciles want to work more for higher pay More than three quarters of employed persons in Slovenia were not willing to work more hours per week for higher pay. 
Zaposlene osebe v srednjih plačnih decilih želijo delati več za dodatno plačilo Več kot tri četrt Slovencev ni bilo pripravljeno delati več ur na teden za večjo plačo.
The second reason why more persons in paid employment in Slovenia were not willing to work more for better pay was that most of those did not live in poverty. 
Drugi razlog, zaradi katerega morda ne želimo delati več, pa je ta, da večina zaposlenih Slovencev ne živi v revščini.
The highest share of persons in paid employment who were willing to work more for better pay was between the second and sixth deciles. 
Tistih zaposlenih oseb, ki bi želeli delati več za večje plačilo, je bilo največ med drugim in šestim plačnim decilom.
The share was slightly lower in the first decile, which might be because of the fact that many of them worked through student agencies. 
Nekoliko manj jih je bilo v prvem decilu; upoštevati pa moramo, da je mnogo oseb v tem decilu zaposlenih prek študentskega servisa.
These were mostly students who probably worked to get extra earnings, rather than due to the necessity for living. 
Tej skupini zaposlenih namreč pomeni delo ob študiju prej dodatno žepnino kot pa nekaj nujnega za preživetje.
More than a third of those who were not willing to work in the first wage decile worked through student employment agencies. 
Več kot tretjina med tistimi v prvem decilu, ki ne bi bili pripravljeni delati več, je namreč delala prek študentskega servisa.
As expected, the share of those who were willing to work more was lower in upper wage deciles. 
Deleži zaposlenih, ki bi želeli delati več, so bili pričakovano najnižji v zgornjih treh decilih.
In these deciles there were mostly persons in paid employment who were either satisfied with their current wage or already work enough hours per week that they valued free time more than extra work, although they would be paid more. 
V teh decilih prevladujejo torej zaposleni, ki so bodisi zadovoljni s plačo bodisi opravijo vsak teden že tako veliko število delovnih ur, da zato vrednotijo prosti čas bolj kot dodatno delo kljub dodatnemu plačilu.
The differences in wage inequality also exist between Slovenian statistical regions. 
Po stopnji neenakosti med plačami se razlikujejo slovenske statistične regije.
Wages among persons in paid employment with lower levels of education differentiated less than wages of persons in paid employment with higher levels of education. 
Razliko v neenakosti med plačami opazimo tudi v stopnjah izobrazbe: plače nižje izobraženih se med seboj razlikujejo manj kot pa plače zaposlenih oseb z visokimi stopnjami izobrazbe.
The Gini coefficient for persons in paid employment from urban areas was 0.301, while for persons in paid employment who live in non-urban areas it was 0.255. 
Vrednost Ginijevega količnika za zaposlene osebe iz urbanega okolja je znašala 0,301, za zaposlene osebe iz vaškega okolja pa 0,255.
The Slovene LFS was carried out in compliance with the International Labour Organisation (ILO) guidelines for labour force statistics, adopted at the 13th International Conference of Labour Statisticians, and with Eurostat requirements which refer to the harmonised EU survey. 
Anketo o delovni sili izvajamo skladno z navodili Mednarodne organizacije dela (ILO) - ta so bila sprejeta na 13. konferenci statistikov dela - in skladno z zahtevami Eurostata, statističnega urada Evropske unije, ki se nanašajo na usklajeno anketo o delovni sili Evropske unije.
Observation units Observation units were all individuals usually living in the selected households. 
Enota opazovanja Enota opazovanja so posamezniki, ki pretežno živijo v izbranem gospodinjstvu.
Persons living in institutions (army, hospital, prison, etc.) for a total period exceeding six months, students living away from home and persons living permanently or temporarily in other countries were excluded from the survey. 
Ne upoštevajo pa se posamezniki, ki živijo v institucijah (vojaki, bolniki, zaporniki ipd.), in sicer več kot šest mesecev, študenti, ki med študijem ne živijo doma, in posamezniki, ki stalno ali začasno živijo v tujini.
Long term unemployment rate represents long term unemployed population (12 months or more; ILO definition) as a share of the total active population. 
Stopnja dolgotrajne brezposelnosti je odstotni delež dolgotrajno brezposelnih oseb (12 ali več mesecev; definicija Mednarodne organizacije dela - ILO) med aktivnim prebivalstvom.
Very long term unemployment rate represents very long term unemployed population (24 months or more; ILO definition) as a share of the total active population. 
Stopnja zelo dolgotrajne brezposelnosti je odstotni delež zelo dolgotrajno brezposelnih oseb (24 ali več mesecev; definicija ILO) med aktivnim prebivalstvom.
Long term unemployment share is defined as total long term unemployed population (12 months or more; ILO definition) as a share of total unemployed population. 
Delež dolgotrajno brezposelnih oseb je delež vseh dolgotrajno brezposelnih oseb (12 ali več mesecev; definicija ILO) med vsemi brezposelnimi osebami.
Persons living in jobless households are persons aged 0-17 (18-59) living in households where none is working as a share of the whole population in the certain age group. 
Prebivalstvo v gospodinjstvih brez delovno aktivnih članov je odstotni delež oseb, starih 0-17 let (18-59 let), ki živijo v gospodinjstvu, v katerem ni noben član delovno aktiven, med vsemi prebivalci v omenjeni starostni skupini.
Students aged 18-24 who live in households composed solely of students of the same age group are not included. 
Študenti, stari 18-24 let, ki živijo v gospodinjstvih, katerih člani so vsi študentje, niso vključeni v ciljno populacijo.
Early school leavers not in education or training is the share of total population of 18-24-year-olds having achieved ISCED level 2 or less (elementary school or less) and not attending education or training. 
Zgodnja opustitev izobraževanja oz. delež oseb, ki so zgodaj opustile izobraževanje, je delež vseh prebivalcev, starih 18-24 let, z doseženo stopnjo izobrazbe ISCED 2 ali nižjo (končana ali nedokončana osnovna šola ali brez šolske izobrazbe), ki niso vključeni v izobraževanje aliusposabljanje.
Persons with low educational attainment are shown as educational attainment rate of ISCED level 2 or less (elementary school or less) for adult population by age groups. 
Delež oseb z nizko stopnjo izobrazbe je delež oseb z doseženo stopnjo izobrazbe ISCED 2 ali nižjo (končana ali nedokončana osnovna šola ali brez šolske izobrazbe) v primerjavi s celotno populacijo v posamezni starostni skupini.
NEET (neither in employment nor in any edcuation or training) is share of persons aged 15-24 who are not involved in any kind of formal or informal education and who are not in employment, among all young persons in the age group 15-24. 
Niti v izobraževanju niti delovno aktivni oz. delež oseb, ki niso niti vključene v izobraževanjeje niti niso delovno aktivne, je delež oseb, starih od 15 do 24 let, ki niso vključeni v formalno ali neformalno izobraževanje niti niso delovno aktivni, med vsemi mladimi v starostni skupini 15-24 let.
Deciles are defined by the net wage of the employee; the first decile includes 10% of emplyoees with the lowest net wages, the second decile another 10% with the second lowest net wages and so on until the tenth decile, which includes 10% of the persons with highest net wages. 
Decili se določajo na podlagi neto plače zaposlene osebe; v prvem decilu je 10 % zaposlenih z najnižjimi povprečnimi mesečnimi neto plačami, v drugem decilu drugih 10 % in tako naprej do desetega decila, v katerem je 10 % zaposlenih z najvišjimi povprečnimi mesečnimi neto plačami.
Educational attainment is the highest publicly verified education that a person achieves by successfully finishing a verified educational or study programme. 
Dosežena izobrazba je razumljena kot najvišja dosežena javno veljavna izobrazba, ki jo oseba praviloma pridobi z uspešnim končanjem javno veljavnega izobraževalnega oz. študijskega programa.
A publicly verified education can also be obtained in other ways, e.g. by successfully passing a master craftsman, foreman or head clerk exams. 
Javno veljavno izobrazbo lahko oseba pridobi tudi po drugih poteh izobraževanja, med katere spada tudi uspešno opravljen mojstrski, delovodski ali poslovodski izpit.
Educational attainment is demonstrated by an official document (certificate, diploma, etc.) 
Oseba pridobitev izobrazbe dokazuje z javno listino (s spričevalom, z diplomo itd.).
Educational attainment is classified by the new Classification System of Education and Training - KLASIUS. 
Doseženo izobrazbo razvrščamo po novem Klasifikacijskem sistemu izobraževanja in usposabljanja - KLASIUS-u.
Information about KLASIUS is available on the following site: http://www.stat.si/Klasius. 
Informacije o KLASIUS-u so na voljo na naslovu: http://www.stat.si/Klasius.
Each household is interviewed five times according to the rotation pattern 3-1-2 (households are interviewed for three consecutive quarters, excluded for one quarter, and included for another two consecutive quarters). 
Vsako gospodinjstvo je anketirano petkrat, in sicer po rotacijskem modelu 3-1-2 (gospodinjstva so anketirana tri zaporedna četrtletja, potem so za eno četrtletje izpuščena, nato pa so v anketo vključena še v preostalih dveh četrtletjih).
The new part of the sample covers households included in the survey for the first time. 
Gospodinjstva, ki so bila v anketo vključena prvič, pa sestavljajo novi del vzorca.
In 2010 the panel part of the sample included 19,370 households, while the new part included 9,472 households. 
V panelni del ankete je bilo v letu 2010 vključenih 19.370 gospodinjstev, v novem delu pa 9472.