https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Ministry of Manpower. For more information, visit https://data.gov.sg/datasets/d_43a37d383fe7b33368f1a3465467571d/view
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Average Nominal Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities data was reported at -0.900 % in Apr 2019. This records an increase from the previous number of -1.000 % for Mar 2019. Average Nominal Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities data is updated monthly, averaging 2.000 % from Jun 2012 (Median) to Apr 2019, with 83 observations. The data reached an all-time high of 7.600 % in Mar 2016 and a record low of -3.500 % in Jun 2016. Average Nominal Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD006: Continuous National Household Sample Survey: Average Nominal Wages: Usual Earnings: by Activities.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Brazil Average Real Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities data was reported at -2.300 % in Apr 2019. This records a decrease from the previous number of -1.800 % for Mar 2019. Brazil Average Real Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities data is updated monthly, averaging 0.300 % from Jun 2012 (Median) to Apr 2019, with 83 observations. The data reached an all-time high of 4.500 % in Mar 2016 and a record low of -5.200 % in Jun 2016. Brazil Average Real Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD005: Continuous National Household Sample Survey: Average Real Wages: Usual Earnings: by Activities.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Wages in Argentina increased 1.70 percent in June of 2025 over the same month in the previous year. This dataset provides - Argentina Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.
The Survey of Consumer Finances (SCF) is conducted annually to obtain work experience and income information from Canadian households. The Survey provides up-to-date information on the distribution and sources of income, before and after taxes, for families and individuals. With this file, users may identify specific family types, such as two-parent and lone-parent families. Information is also provided on earnings, transfers, and total income for the head and the spouse of the census family unit, as well as personal and labour-related characteristics. This reference year for this file is 1985. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).
The General Social Survey (GSS) has two principal objectives: first, to gather data on social trends in order to monitor changes in Canadian society over time; and secondly, to provide information on specific policy issues of current or emerging interest. The GSS is a continuing program with a single survey cycle each year. This survey collected data on social mobility and time use of Canadians, and examined language knowledge and use. Topics include occupation, education and other characteristics of Canadians and their parents, language knowledge and use, activities over a 24-hour period, and data for each episode of time use. This cycle contains three files, the main file, time use summary file and episode file. The main file is composed of 286 variables covering general background, language and social mobility variables. The time use summary file consists of one record per respondent and summarizes the total time spent on each of 95 activities and the 10 major categories, total time spent at each location and total time spent with various persons. In addition, it contains a subset of characteristics found on the main file. The time use episode file consists of all episodes reported by respondents. Each respondent generated a variable number of records depending on the number of episodes reported. For each episode, there is information on the activity, start and end time, duration, location and an indication of who the respondent was with for that episode.
https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Ministry of Manpower. For more information, visit https://data.gov.sg/datasets/d_0d750e22323104600e3423e4c088baef/view
The Survey of Consumer Finances (SCF) is conducted annually to obtain work experience and income information from Canadian households. The Survey provides up-to-date information on the distribution and sources of income, before and after taxes, for families and individuals. With this file, users may identify specific family types, such as two-parent and lone-parent families. Information is also provided on earnings, transfers, and total income for the head and the spouse of the census family unit, as well as personal and labour-related characteristics. This reference year for this file is 1995. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Average Real Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities在2019-04达-2.300 %,相较于2019-03的-1.800 %有所下降。Average Real Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities数据按月度更新,2012-06至2019-04期间平均值为0.300 %,共83份观测结果。该数据的历史最高值出现于2016-03,达4.500 %,而历史最低值则出现于2016-06,为-5.200 %。CEIC提供的Average Real Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities数据处于定期更新的状态,数据来源于Brazilian Institute of Geography and Statistics,数据归类于Brazil Premium Database的Labour Market – Table BR.GBD005: Continuous National Household Sample Survey: Average Real Wages: Usual Earnings: by Activities。
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Average Nominal Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities在2019-04达-0.900 %,相较于2019-03的-1.000 %有所增长。Average Nominal Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities数据按月度更新,2012-06至2019-04期间平均值为2.000 %,共83份观测结果。该数据的历史最高值出现于2016-03,达7.600 %,而历史最低值则出现于2016-06,为-3.500 %。CEIC提供的Average Nominal Wages: Usual Earnings: MoM: Employed: Information, Communication and Financial, Real Estate, Professional and Administrative Activities数据处于定期更新的状态,数据来源于Brazilian Institute of Geography and Statistics,数据归类于Brazil Premium Database的Labour Market – Table BR.GBD006: Continuous National Household Sample Survey: Average Nominal Wages: Usual Earnings: by Activities。
The Survey of Consumer Finances (SCF) is conducted annually to obtain work experience and income information from Canadian households. The Survey provides up-to-date information on the distribution and sources of income, before and after taxes, for families and individuals. With this file, users may identify specific family types, such as two-parent and lone-parent families. Information is also provided on earnings, transfers, and total income for the head and the spouse of the census family unit, as well as personal and labour-related characteristics. This reference year for this file is 1994. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).
The Survey of Consumer Finances (SCF) is conducted annually to obtain work experience and income information from Canadian households. The Survey provides up-to-date information on the distribution and sources of income, before and after taxes, for families and individuals. With this file, users may identify specific family types, such as two-parent and lone-parent families. Information is also provided on earnings, transfers, and total income for the head and the spouse of the census family unit, as well as personal and labour-related characteristics. This reference year for this file is 1994. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).
The Survey of Consumer Finances (SCF) is conducted annually to obtain work experience and income information from Canadian households. The Survey provides up-to-date information on the distribution and sources of income, before and after taxes, for families and individuals. With this file, users may identify specific family types, such as two-parent and lone-parent families. Information is also provided on earnings, transfers, and total income for the head and the spouse of the census family unit, as well as personal and labour-related characteristics. The reference year for this file is 1992. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).
This public use microdata tape is the first available using Canadian Family Expenditure Survey data. The survey was carried out in February and March 1979 and refers to calendar year 1978. The Survey of Family Expenditures of 1978 is the first of national scope since 1969 and was designed to provide information for families and unattached individuals (spending units) living in private households in all areas of Canada excluding the Yukon and the Northwest Territories. Users should note that data on detailed food expenditure for 1978 were collected in a separate survey, see Statistics Canada Catalogue Number 62-548. This survey did not cover the country as a whole but only 16 major regional cities. No public use tape will be made available from this survey.
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https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Ministry of Manpower. For more information, visit https://data.gov.sg/datasets/d_43a37d383fe7b33368f1a3465467571d/view