The OECD Earnings and Wages database is part of the Organisation for Economic Co-operation and Development (OECD) and offers comparable statistics on average wages, employee compensation by activity, the gender wage gap and wage levels. Data is for the most part available since 1970 for most OECD member countries.

Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Wages in the United States increased to 31.46 USD/Hour in August from 31.34 USD/Hour in July of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Wages in Netherlands increased to 3875 EUR/Month in 2025 from 3708.33 EUR/Month in 2024. This dataset provides - Netherlands Average Hourly Wages Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract copyright UK Data Service and data collection copyright owner.The New Earnings Survey is almost certainly the most detailed and comprehensive earnings series anywhere in the world. It is a one in a hundred sample survey of employees in Britain, giving information on aspects of earnings and employment based on a week in April each year. The NES enquiry is conducted by the Department of Employment under the provisions of the Statistics of Trade Act (1947). Under the terms of this Act, data so obtained and relating solely to any individual may not be released into the public domain. All the data described here are in a form that ensures that there is no disclosure of individual information. They have been processed into a minimally aggregated form approved by the Department of Employment: any data record released relates to an aggregate of not less than three individuals. Main Topics: The dataset consists of fourteen separate extract data files from the original New Earnings Survey files held by the Department of Employment. Each extract file had been constructed to allow investigation of a particular aspect of the data contained in the Survey, as follows: AGG01 National Collective Agreements AGG02 Manual Skill Differentials AGG03 Regional Implications AGG04 Age implications AGG05 Dispersion of Pay within Occupations AGG06 Shiftwork AGG07 Pay in relation to hours worked AGG08 Public/Private Sector Pay Movements AGG09 White Collar Pay Movements AGG10 Sex Differentials AGG11 Incentive Pay and Payment Schemes AGG12 Incentive Payment Schemes and Age AGG14 Pay in Relation to Size of Company and Plant AGG15 Pay in Relation to Company Size and Region Eight of the aggregate files (numbers 2,3,4,5,7,8,9 and 10) relate to dimensions recorded in the Survey in each year and comprise 13 annual files, one for each year 1970-1982. A further two aggregate files (numbers 1 and 6) contain 10 annual files for the years 1973-1982 inclusive, omitting the years 1970-1972, AGG01, due to the introduction of new occupations codes in 1973, and AGG06 due to the lack of shift pay premium prior to 1973. The remaining four files (numbers 11,12,14 and 15) relate to a single year only and are based on the special question included in that year.

Wages in Japan decreased to 479691 JPY/Month in July from 625297 JPY/Month in June of 2025. This dataset provides - Japan Average Monthly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Median Household Income in California (MEHOINUSCAA646N) from 1984 to 2024 about CA, households, median, income, and USA.

Abstract copyright UK Data Service and data collection copyright owner. The aim of the originating project was to increase understanding of the past and possible future impact of increased international trade, mobility and investment on: i) Differences in income levels between countries (divergence or convergence, and - if convergence - levelling up or levelling down) ii) The relative and real wages of different sorts of 'skilled' workers This aim was addressed in four main ways. The first was to formalise ideas about the disaggregation of skilled workers, and the overlap between the concepts of skill and technology, by theoretical modelling. The second was to test hypotheses suggested by theory on evidence for all countries over the past 30 years. The third was to test hypotheses suggested by theory on evidence for skilled wages in developed countries over the past 30 years. The final way the objective was addressed was by testing the hypotheses suggested by theory against evidence from developed countries over the past two centuries. The data collection is the result of the data gathering exercise undertaken for this fourth approach. Main Topics: The dataset brings together a wide range of statistical information relating to patterns of globalisation, technology and wage inequality in a selection of now-developed countries between 1870 and 1970. The countries included are: United States, Canada, Australia, United Kingdom, Germany, France, Sweden and Denmark. The information is classified into six broad sections: wages, migration, employment, trade, production and technology. Wages: Wages of skilled relative to unskilled manual workers, United States, 1870-1970 Wages of non-manual relative to manual workers, United States, 1890-1939 Wages of broad occupational categories, United States, 1939-1960 Summary of relative wages, United States, 1870-1970 Wages of non-manual and manual workers, Canada, 1905-1959 Wages of skilled and unskilled manual workers, Canada, 1900-1960 Summary of relative wages, Canada, 1901-1960 Wages of skilled and unskilled manual workers, Australia, 1870-1960 Wages of skilled and unskilled manual workers, United Kingdom, 1870-1968 Wages of broad occupational categories, United Kingdom, 1871-1970 Summary of relative wages, United Kingdom, 1870-1968 Wages of skilled and unskilled manual workers, Germany, 1871-1962 Wages of skilled and unskilled manual workers, France, 1873-1959 Wages of skilled and unskilled manual workers, Sweden, 1870-1962 Summary of relative wages, Sweden, 1873-1959 Wages of skilled and unskilled manual workers, Denmark, 1870-1965 Wages of clerical relative to manual workers, United States, Canada and United Kingdom, 1870-1965 Migration: Immigration by occupation, United States, 1870-1965 Immigration by occupation, Canada, 1904-1951 Summary of immigration by skill group, Canada, 1881-1951 Total immigration, Canada, 1870-1960 Emigration by occupation, United Kingdom, 1877-1913 Emigration from Ireland by occupation, 1875-1913 Summary of emigration by skill group, United Kingdom, 1877-1913 Total migration, United Kingdom, 1870-1922 Emigration by occupation, Germany, 1871-1924 Summary of emigration by skill group, Germany, 1871-1924 Migration by occupation, Sweden, 1870-1924 Summary of migration by skill group, Sweden, 1871-1924 Emigration by occupation, Denmark, 1872-1924 Summary of emigration by skill group, Denmark, 1872-1924 Employment: Labour force by occupation, United States, 1900-1970 Employment by broad sector, United States, 1870-1960 Gainful workers in manufacturing by industry, United States, 1870-1930 Employment in manufacturing by industry, United States, 1899-1960 Labour force by occupation, Canada, 1891-1961 Employment by broad sector, Canada, 1891-1971 Employment by manufacturing industry, Canada, 1911-1971 Employment by occupation, Australia, 1911-1971 Employment by broad sector, Australia, 1891-1969 Employment in manufacturing by industry, Australia, 1891-1969 Employment by occupation, United Kingdom, 1911-1971 Labour force by broad sector, United Kingdom, 1871-1971 Employment by manufacturing industry, United Kingdom, 1871-1961 Labour force by occupation, Germany, 1882-1961 Employment by broad sector and by manufacturing industry, Germany, 1870-1960 Employment by broad sector and by manufacturing industry, France, 1906-1954 Labour force by broad sector, Sweden, 1870-1960 Employment in manufacturing by industry, Sweden, 1870-1930 Labour force by broad sector, Denmark, 1870-1960 Trade: Exports by commodity, United States, 1870-1965 Imports by commodity, United States, 1870-1965 Trade statistics, United States, 1870-1965 Exports by commodity, Canada, 1870-1965 Imports by commodity, Canada, 1870-1960 Trade statistics, Canada, 1870-1965 Total exports, Australia, 1870-1965 Total imports, Australia, 1870-1965 Trade statistics, Australia, 1870-1965 Exports by commodity, United Kingdom, 1870-1965 Imports by commodity, United Kingdom, 1870-1965 Trade statistics, United Kingdom, 1870-1965 Exports by commodity, Germany, 1880-1960 Imports by commodity, Germany, 1880-1960 Trade statistics, Germany, 1880-1960 Exports by commodity, France, 1870-1959 Imports by commodity, France, 1870-1959 Trade statistics, France, 1870-1959 Exports by commodity, Sweden, 1870-1965 Imports by commodity, Sweden, 1870-1965 Trade statistics, Sweden, 1870-1965 Exports by commodity, Denmark, 1870-1965 Imports by commodity, Denmark, 1870-1965 Trade statistics, Denmark, 1870-1965 Production: Production by industry group, United States, 1869-1919 Production by commodity group, United States, 1869-1913 Production indices by manufacturing sector, United Kingdom, 1860-1914 Production indices by manufacturing sector, Germany, 1860-1913 GDP per capita in United States, Canada, Australia, United Kingdom, Germany, France, Sweden, and Denmark, 1870-1965 Technology: Number of patents granted in 23 countries, 1870-1970 Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

South Korea's Occupational Wage Survey (OWS) is an annual business establishment survey conducted since 1970 by South Korea's Ministry of Labor. The dataset contains detailed information on individual workers' earnings, hours worked, educational attainment, actual labor market experience, occupation, industry, and region. The surveyed establishments must employ at least ten workers and were selected by a stratified random sampling method. Because they exclude workers in small enterprises, the self-employed, family workers, temporary workers, and public sector workers, the surveys represent approximately one-half of South Korea's total nonagricultural labor force. The samples for each year are randomly drawn from the original surveys. The surveys cover all industries up through 1986. After 1986, agriculture, forestry, hunting, and fishing are excluded. This change in sampling procedure does not appear to cause a significant change in the types of nonfarm enterprises covered by the survey.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Belize. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Suriname. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Cyprus. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Dominica. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Iceland. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Barbados. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country Liberia. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

ABSTRACT The paper analyses the Brazilian size distribution of income with the objective of identifying to what extent economic policies, macroeconomic performance and changes in the structure of the labor force are related to inequality. There is evidence of long term increases in inequality, especially between 1960 and 1970. Long term trends do not seem to be affected by economic performance, although the stagnation of the 1980s has led to absolute income losses for all individuals except those in the top percentile. Short term behavior, on the other hand, seems to have been influenced by economic performance: there is evidence that growth enhances equity, whereas high inflation has the opposite effect. A decomposition analysis highlights the importance of education in explaining inequality, but points to changes in the structure of the labor force as the major factor in accounting for changes in inequality since the mid-1970s.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country St. Lucia. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.

Affordability ratios calculated by dividing house prices by gross annual residence-based earnings. Based on the median and lower quartiles of both house prices and earnings in England and Wales.

Time series data for the statistic Women, Business and the Law: Pay Indicator Score (scale 1-100) and country South Sudan. Indicator Definition:The Pay indicator measures laws affecting occupational segregation and the gender wage gap. The Pay indicator score is obtained by calculating the unweighted average of the following: 1. SG.LAW.EQRM.WK; 2. SG.NGT.WORK.EQ; 3. SG.DNG.WORK.DN.EQ; 4. SG.IND.WORK.EQ (= 25 points each) and scaling the result to 100.