1 to 10 of 25 Results
Oct 30, 2023 - Social Development = Socialinė raida
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2022, "Annual Average Hourly Earnings of Industrial Workers by Profession in Kaunas (Lithuania), 1913-1939", https://hdl.handle.net/21.12137/1T09TG, Lithuanian Data Archive for SSH (LiDA), V6, UNF:6:MneGU5MFq0R97ksl40qMTQ== [fileUNF]
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 So... |
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2021, "Number of Births (N) in Lithuania, 1919-1939", https://hdl.handle.net/21.12137/BQSXGC, Lithuanian Data Archive for SSH (LiDA), V7, UNF:6:CK+LzPmbpxVldudzN6tC6Q== [fileUNF]
This dataset contains data on number of births (including stillbirths) per year in Lithuania in 1919-1939. Dataset "Number of Births (N) in Lithuania, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Pos... |
Jan 6, 2023 - Lithuanian Children and Youth = Lietuvos vaikai ir jaunimas
Erentaitė, Rasa; Vosylis, Rimantas; Raižienė, Saulė; Simonaitienė, Berita; Augustinienė, Aldona, 2023, "Goals Lab: Adolescent Survey, October 2019 - April 2021", https://hdl.handle.net/21.12137/ZEDFY7, Lithuanian Data Archive for SSH (LiDA), V1
The purpose of the study: to explore the development of 15-16-year-olds' ability to set goals for their future, match them with their achievements, and cope with a rapidly changing and contrasting social and economic environment. The key tasks of this study were: (1) to identify... |
Oct 13, 2022 - Demography = Demografija
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2021, "Birth Rate (per 1000 Population) in Lithuania, 1919-1939", https://hdl.handle.net/21.12137/N8SEOL, Lithuanian Data Archive for SSH (LiDA), V3, UNF:6:7j3dHyf9RRC851OKFWDXVA== [fileUNF]
This dataset contains data on birth rate (including stillbirths) per year (per 1000 population) in Lithuania in 1919-1939. Data in the cells (year by administrative region) were computed by multiplying the number of births by 1000 and dividing by number of the mid-year population... |
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2021, "Number of Population in Counties in Lithuania, 1919-1939", https://hdl.handle.net/21.12137/FZKGYG, Lithuanian Data Archive for SSH (LiDA), V9, UNF:6:BXngfxtp8erKTR1xD95eQQ== [fileUNF]
This dataset contains two data tables on number of population in counties in Lithuania in 1919-1939. The data table LiDA_HistatData_0238_Data_0001_v5 is prepared using the data of either the beginning or the end of each year, which was published in Lithuanian Statistical Yearbook... |
Oct 13, 2022 - Demography = Demografija
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2021, "Rate of Natural Increase of Population (per 1000 Population) in Lithuania, 1919-1939", https://hdl.handle.net/21.12137/GN0KNP, Lithuanian Data Archive for SSH (LiDA), V5, UNF:6:cGlKQ8UCf6hOuNF4mwBMYQ== [fileUNF]
This dataset contains data on natural increase rate of population (per 1000 population) in Lithuania 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... |
Oct 13, 2022 - Economy: agriculture, forestry and fishing = Ūkis: žemės, miškų ir vandens ūkis
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2021, "Crop Area of Flax in Lthuania, 1919-1939", https://hdl.handle.net/21.12137/FR2WDG, Lithuanian Data Archive for SSH (LiDA), V3, UNF:6:bd6JW8S3pu1ZeVFeRxxAoQ== [fileUNF]
This dataset contains data on crop area of flax in Lithuania in 1919-1939. Dataset "Crop Area of Flax in Lthuania, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Ba... |
Oct 13, 2022 - Demography = Demografija
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2021, "Natural Increase of Population (N) in Lithuania, 1919-1939", https://hdl.handle.net/21.12137/4Q0TIP, Lithuanian Data Archive for SSH (LiDA), V6, UNF:6:oTzi8SOkcnJIRNHkrLQ7LQ== [fileUNF]
This dataset contains data on number of natural increase of population in Lithuania in 1919-1939. Data in the cells (year by administrative region) were computed as the difference of numbers of births and deaths. For sources of the data see metadata field Origin of Sources below.... |
Oct 13, 2022 - Demography = Demografija
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2021, "Mortality Rate (per 1000 Population) in Lithuania, 1919-1939", https://hdl.handle.net/21.12137/ZUD1GZ, Lithuanian Data Archive for SSH (LiDA), V6, UNF:6:r2xg5C6g9S7vlHY4UcuDZQ== [fileUNF]
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... |
Oct 13, 2022 - Health Care = Sveikatos apsauga
Norkus, Zenonas; Ambrulevičiūtė, Aelita; Markevičiūtė, Jurgita; Morkevičius, Vaidas; Žvaliauskas, Giedrius, 2022, "Number of Medical Staff (per 10,000 population) in Lithuania, 1919-1939", https://hdl.handle.net/21.12137/ACWGYB, Lithuanian Data Archive for SSH (LiDA), V4, UNF:6:VuMvfGxo8ADkuO4Wy/OXnw== [fileUNF]
This dataset contains data on number of medical staff (per 10,000 population) in Lithuania in 1919-1939. Data in the cells (year by administrative region) were computed by dividing the number of hospitals, hospital beds and pharmacies by number of population and multiplying by 10... |
