Selangor

Data Dictionary: https://github.com/wri/Aqueduct40/blob/master/data_dictionary_country-rankings.md#country-future  

These Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering the latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of the overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite the opposite of crime index. If the city has a high safety index, it is considered very safe.

Annual principle statistics on employed persons by industry in Malaysia 1982 - 2017.

Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, Version 4.4.1Smits, J. GDL Area Database. Sub-national development indicators for research and policy making.Smits GDL Working Paper 16-101 v44.pdf Smits GDL Working Paper 16-101 v44.docx

Data cited at: Prof.Prof. Lauren Gardner; Center for Systems Science and Engineering at John Hopkins University, blog Post -  https://systems.jhu.edu/research/public-health/ncov/   On December 31, 2019, the World Health Organization (WHO) was informed of an outbreak of “pneumonia of unknown cause” detected in Wuhan City, Hubei Province, China – the seventh-largest city in China with 11 million residents. As of February 04, 2020, there are over 24,502 cases confirmed globally, including cases in at least 30 regions in China and 30 countries.  Interests: In-Market Segments Knoema All Users   Knoema modified the original dataset to include calculations per million.   https://knoema.com/WBPEP2018Oct https://knoema.com/USICUBDS2020 https://knoema.com/NBSCN_P_A_A0301 https://knoema.com/IMFIFSS2017Nov https://knoema.com/AUDSS2019 https://knoema.com/UNAIDSS2017 https://knoema.com/UNCTADPOPOCT2019Nov https://knoema.com/WHOWSS2018 https://knoema.com/KPMGDHC2019

Annual principle statistics on labor force in Malaysia by 1982 - 2021

Labour Force Statistics of Malaysia

Annual principle statistics on employed persons by educational attainment in Malaysia. 

Annual principle statistics on employed persons by highest certification in Malaysia. 1982 - 2017

Annual principle statistics on employed persons by age group in Malaysia. 1982 - 2016

Annual principle statistics on employed persons by employment status in Malaysia. 1982 - 2017

Annual statistics on employed persons by occupation in Malaysia. 

Statistics on household income & poverty in Malaysia. (1970 - 2019) - Distribution by income class - Mean monthly gross household income by ethnic group, strata, and state - Median monthly gross household income by ethnic group, strata, and state - Income share of Top 20%, Middle 40%, and Bottom 40% by ethnic group and strata - Mean monthly gross household income of Top 20%, Middle 40%, and Bottom 40% - Gini coefficient by ethnic group, strata, and state - Incidence of poverty by ethnic group, strata, and state

Survey on salaries & wage by various demography.

Annual compilation of Malaysia's National accounts as time series. 1947 - 2016

Performance of Construction Sector in Malaysia

Annual statistics on population & labor force in Malaysia. - Population by age group (1891 - 2017) - Population by state (1970 - 2010, 2011 - 2020 Projections) - Employment/Unemployment/Participation Rate (2001 - 2016) - Foreign Workers (2000 - 2016)

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/