{"type":"survey","doc_desc":{"idno":"DDI_MYS_2020_SWS_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Documentation of the Study"}],"prod_date":"2020-11-12","version_statement":{"version":"Version 01","version_date":"2020-11-12"}},"study_desc":{"title_statement":{"idno":"MYS_2020_SWS_v01_M","title":"Salaries & Wages Survey 2020","alt_title":"SWS 2020","translated_title":"Survei Gaji & Upah 2020"},"authoring_entity":[{"name":"Department of Statistics Malaysia","affiliation":"Government of Malaysia"}],"production_statement":{"producers":[{"name":"Department of Statistics Malaysia","affiliation":"Government of Malaysia","role":""}]},"series_statement":{"series_info":"Salaries & Wages Survey (SWS) is conducted on a monthly basis and is integrated with Labour Force Survey (LFS) from January until December and the reference period is a month prior to the survey month."},"study_info":{"abstract":"This survey provides salaries & wages statistics at the national  level. The survey also provides aggregate data by state as well as urban and rural areas. The survey was carried out using the household approach covering all states in Malaysia. Salaries & Wages Survey uses the personal interview method. During the survey period, trained interviewers visit households in selected living quarters (LQs) to collect demographic information on all household members and salaries & wages particulars of household members aged 15 years and over. The main objective is to collect information on monthly salaries & wages form the principal occupation of paid employee in public and private sectors. The main statistics reported are median and mean monthly salaries & wages by sex, ethnic group, educational attainment, strata, state, occupation and industry. The results of these statistics is published in the 'Salaries & Wages Survey Report'.\n\nStarting with the Salaries & Wages Report 2017, the main statistics presented in the report is for the citizens. Meanwhile, the salaries & wages selected statistics consists of non citizens is shown in a separate table.","coll_dates":[{"start":"2020","end":"2020","cycle":""}],"nation":[{"name":"Malaysia","abbreviation":"MYS"}],"geog_coverage":"This survey provides estimates at national and state level as well as urban and rural areas.","geog_coverage_notes":"National  level.","geog_unit":"The survey also provides aggregate data by state as well as urban and rural areas.","analysis_unit":"Household\/Individual","universe":"All household members and salaries & wages particulars of household members aged 15 years and over.","data_kind":"Sample survey data [ssd]","notes":"The survey covers selected demographic and socioeconomic characteristics such as sex, age group, educational attainment, status in employment and occupation"},"method":{"data_collection":{"frequency":"Monthly","sampling_procedure":"The survey is carried out using probability sampling through household approach comprising Malaysian citizens and non-citizens. The survey is carried out using probability sampling through household approach comprising Malaysian citizens and non-citizens.","coll_mode":"Face-to-face [f2f]","coll_situation":"Personal interview method is used in which trained interviewers will visit households in selected living quarters during the survey period to collect information on all household members including their demographic particulars. Information on labour force is collected for household members who are 15 years and over."}},"data_access":{"dataset_use":{"contact":[{"name":"Department of Statistics Malaysia","affiliation":"","email":"","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample: Department of Statistics Malaysia. Salaries & Wages Survey 2020 (SWS) 2020. Ref: MYS_2020_SWS_v01_M. Downloaded from [url] on [Date]"}}},"data_files":[],"variables":[],"variable_groups":[]}