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The purpose of the study : to ascertain Lithuanian residents opinion about main principles of social policy, to analyse residents specific experiences and provisions related with social policy in Lithuania and to assess effectiveness of social policy in Lithuania. Major investigated questions: respondents were asked who should care for a person in case of retirement, illness, loss of work, divorce or break up with partner, longterm physical or mental disability and child birth. Respondents were asked how safe they personally feel in same life situation. It was questioned what should or should not be government's duty for state residents. It was analysed how should the state act if it should choose between tax reduction or spend more on social security and inflation reduction or unemployment reduction. After listing a few social life areas respondents were asked if the state funds these ares to much, exactly how it should or to little. Respondents were asked to assess how many state objectives in assuring society's well-being in Lithuanian are achieved or unachieved based on the list of objectives in social policy of Lithuania gathered form various political documents. First, respondents were asked how they evaluate state efforts in seeking objectives in healthcare. Next, question block to reveal how state is doing in achieving objectives in labour market and employment areas was presented. Later, situation in social equity and social security areas was assessed. Respondents were asked how in their opinion state is doing in achieving its objectives in family policy and child-rearing areas. Last, question block about state achievements in education and natural and living environment was presented. Finally, question block about various possible changes in social policy (extension of retirement age, statutory pensions, shortening of maternity leave, state support for unemployed, etc.) was presented. Respondents were asked in their opinion how after 10 years pensions will look like in Lithuania. It was analysed if overall respondents are satisfied with social security system in Lithuania. Socio-demographic characteristics: gender, age, duration of education, education, employment status of the respondent and his / her husband / wife / permanent partner, profession (occupation), respondent's trade union membership, religion, participation in religious rites, political views, political and social activism, voting in the last Seimas elections, nationality, household size, respondent's average and total average monthly household income, marital status, place of residence, satisfaction with quality of life, change in living conditions, received social benefits, received financial support from abroad living relatives.
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This dataset contains data on natural increase rate of population (per 1000 population) in Estonia in 1919-1939. Data in the cells (year by administrative region) were computed by multiplying the number of natural increase of population by 1000 and dividing by number of the mid-year population. For sources of the data see metadata field Origin of Sources below. Dataset "Rate of Natural Increase of Population (per 1000 Population) in Estonia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on number of volume and value of crop production in Livonia Province (within the current borders of Estonia and Latvia) in 1897-1914. Dataset "Volume and Value of Crop Production in Livonia Province (Estonia and Latvia), 1897-1914" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on annual average hourly earnings of industrial workers by profession in Kaunas in 1913-1939. Dataset "Annual Average Hourly Earnings of Industrial Workers by Profession in Kaunas (Lithuania), 1913-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on annual average hourly earnings of industrial workers by industry in Estonia in 1919-1939. Dataset "Annual Average Hourly Earnings of Industrial Workers by Industry in Estonia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on number of live births (excluding stillbirths) per year in Estonia in 1919-1939. Dataset "Number of Live Births (N) in Estonia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on number of sheep and goat (1925-1929) and sheep (1930-1939) in Lithuania in 1919-1939. Dataset "Number of Sheep in Lithuania, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on volume and value of animal production in 1919-1939. Dataset "Volume and Value of Animal Production in Lithuania, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on Estonian central government revenue in 1919-1939. Dataset "Central Government Revenue in Estonia, 1919-1940" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on number of deaths in Latvia in 1919-1939. Dataset "Number of Deaths (N) in Latvia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on population of cities and towns in Lithuania in 1923, 1930, 1935-1936 and 1938-1939.
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This dataset contains data on the yield of barley in Estonia in 1919-1939. Dataset "Yield of Barley in Estonia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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The purpose of the study: to explore the scope, nature and characteristics of citizenship that result from the process of the deepening and enlargement of the EU. The mass survey was conducted in 2007 in the sixteen EU member states (Austria, Belgium, Bulgaria, Denmark, Estonia, France, Germany, Greece, Hungary, Italy, Poland, Portugal, Slovakia, Slovenia, Spain, United Kingdom) and in two non-EU states (Serbia and Turkey). INTEGRATED DATA FILE (v1, 2013-04-11) IS AVAILABLE IN THE ICPSR DATA ARCHIVE.
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This dataset contains data on mortality rate (per 1000 population) in Lithuania in 1919-1939. Data in the cells (year by administrative region) were computed by multiplying the number of deaths by 1000 and dividing by number of the mid-year population. For sources of the data see metadata field Origin of Sources below. Dataset "Mortality Rate (per 1000 Population) in Lithuania, 1919-1939 " was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on annual average retail prices of food in Tallinn in 1919-1939. Dataset "Annual Average Retail Prices of Food in Tallinn (Estonia), 1913-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on number of infant (under the age of 1) mortality (N) in Latvia in 1919-1939. Dataset "Infant (Under the Age of 1) Mortality (N) in Latvia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on crop area of winter and summer wheat in Latvia in 1919-1939. Dataset "Crop Area of Winter and Summer Wheat in Latvia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on number of primary schools in Lithuania in 1919-1939. Dataset "Number of Primary Schools in Lithuania, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on number of pigs in Estonia Province (within the current borders Estonia) in 1897-1914. Dataset "Number of Pigs in Estonia Province (Estonia), 1897-1914" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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This dataset contains data on number of cattle in Estonia Province (within the current borders Estonia) in 1897-1914. Dataset "Number of Cattle in Estonia Province (Estonia), 1897-1914" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
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The purpose of the study : to ascertain Lithuanian residents opinion about main principles of social policy, to analyse residents specific experiences and provisions related with social policy in Lithuania and to assess effectiveness of social policy in Lithuania. Major investigated questions: respondents were asked who should care for a person in case of retirement, illness, loss of work, divorce or break up with partner, longterm physical or mental disability and child birth. Respondents were asked how safe they personally feel in same life situation. It was questioned what should or should not be government's duty for state residents. It was analysed how should the state act if it should choose between tax reduction or spend more on social security and inflation reduction or unemployment reduction. After listing a few social life areas respondents were asked if the state funds these ares to much, exactly how it should or to little. Respondents were asked to assess how many state objectives in assuring society's well-being in Lithuanian are achieved or unachieved based on the list of objectives in social policy of Lithuania gathered form various political documents. First, respondents were asked how they evaluate state efforts in seeking objectives in healthcare. Next, question block to reveal how state is doing in achieving objectives in labour market and employment areas was presented. Later, situation in social equity and social security areas was assessed. Respondents were asked how in their opinion state is doing in achieving its objectives in family policy and child-rearing areas. Last, question block about state achievements in education and natural and living environment was presented. Finally, question block about various possible changes in social policy (extension of retirement age, statutory pensions, shortening of maternity leave, state support for unemployed, etc.) was presented. Respondents were asked in their opinion how after 10 years pensions will look like in Lithuania. It was analysed if overall respondents are satisfied with social security system in Lithuania. Socio-demographic characteristics: gender, age, duration of education, education, employment status of the respondent and his / her husband / wife / permanent partner, profession (occupation), respondent's trade union membership, religion, participation in religious rites, political views, political and social activism, voting in the last Seimas elections, nationality, household size, respondent's average and total average monthly household income, marital status, place of residence, satisfaction with quality of life, change in living conditions, received social benefits, received financial support from abroad living relatives.