Between 1914 and 1969, weekly wages in manufacturing industries in the United States grew by a factor of 12. In the first half of the century, the most significant periods of increase came during the World Wars, as manufacturing industries were at the core of the war effort. However, wages then fell sharply after both World Wars, due to post-war recessions and oversaturation of the job market as soldiers returned home. Interwar period Wage growth during the interwar period was often stagnant, despite the significant economic growth during the Roarin' 20s, and manufacturing wages remained steady at around 24 dollars from 1923 to 1929. This was, again, due to oversaturation of the job market, as employment in the agricultural sector declined due to mechanization and many rural workers flocked to industrial cities in search of employment. The Great Depression then saw the largest and most prolonged period of decline in manufacturing wages. From September 1929 to March 1933, weekly wages fell from 24 dollars to below 15 dollars, and it would take another four years for them to return to pre-Depression levels. Postwar prosperity After the 1945 Recession, the decades that followed the Second World War then saw consistent growth in manufacturing wages in almost every year, as the U.S. cemented itself as the foremost economic power in the world. This period is sometimes referred to as the Golden Age of Capitalism, and the U.S. strengthened its economic presence in Western Europe and other OECD countries, while expanding its political and military presence across Asia. Manufacturing and exports played a major role in the U.S.' economic growth in this period, and wages grew from roughly 40 dollars per week in 1945 to more than 120 dollars by the late 1960s.

Wages in Australia increased to 1510.90 AUD/Week in the fourth quarter of 2024 from 1480.90 AUD/Week in the second quarter of 2024. This dataset provides - Australia Average Weekly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Mean Family Income in the United States (MAFAINUSA646N) from 1953 to 2023 about family, average, income, and USA.

This study contains the total wages and salaries, total full and part-time employment, and average wages and salaries per job.

This table contains data on the remuneration of employees, wage costs and the labor volume of employees employed by companies and institutions established in the Netherlands. Employee compensation is broken down into wages and social contributions paid by employers. The wage costs are the total of wages, social security contributions payable by employers and final levies less wage cost subsidies. The labor volume of employees is given in average number of jobs (divided into full-time jobs/part-time jobs and gender), average number of working years, hours worked, hours paid and agreed hours per year. In addition to the original figures, the table shows the remuneration of employees, wages and labor costs in relation to the average number of working years and hours worked. Data available from 1969 to 2016. Status of the figures: The data from 1969 to 2015 are final. The data for 2016 is provisional. Since this table has been discontinued, the data is no longer finalized. Changes as of June 22, 2018 None, this table has been discontinued. Statistics Netherlands recently carried out a revision of the national accounts. New statistical sources and estimation methods are used for this. This table of data for revision has been replaced by the table Compensation and labor volume of employees; industry, national accounts. For additional information, see section 3. When will new figures be released? Not applicable anymore.

This table contains 22 series, with data for years 1951 - 1969 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted ...), Wages and salaries (1 items: Total wages and salaries ...).

Bangladesh Wage Rate Index: Khulna data was reported at 12,438.190 1969-1970=100 in Dec 2018. This records an increase from the previous number of 12,386.010 1969-1970=100 for Nov 2018. Bangladesh Wage Rate Index: Khulna data is updated monthly, averaging 5,265.190 1969-1970=100 from Dec 1998 (Median) to Dec 2018, with 241 observations. The data reached an all-time high of 12,438.190 1969-1970=100 in Dec 2018 and a record low of 2,268.000 1969-1970=100 in Dec 1998. Bangladesh Wage Rate Index: Khulna data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics . The data is categorized under Global Database’s Bangladesh – Table BD.G021: Wage Rate Index: 1969-1970=100.

Graph and download economic data for Per Capita Personal Income in Los Angeles County, CA (PCPI06037) from 1969 to 2023 about Los Angeles County, CA; Los Angeles; personal income; per capita; CA; personal; income; and USA.

Analysis of ‘US Minimum Wage by State from 1968 to 2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/lislejoem/us-minimum-wage-by-state-from-1968-to-2017 on 12 November 2021.

--- Dataset description provided by original source is as follows ---

US Minimum Wage by State from 1968 to 2020

The Basics

• What is this? In the United States, states and the federal government set minimum hourly pay ("minimum wage") that workers can receive to ensure that citizens experience a minimum quality of life. This dataset provides the minimum wage data set by each state and the federal government from 1968 to 2020.

• Why did you put this together? While looking online for a clean dataset for minimum wage data by state, I was having trouble finding one. I decided to create one myself and provide it to the community.

• Who do we thank for this data? The United States Department of Labor compiles a table of this data on their website. I took the time to clean it up and provide it here for you. :) The GitHub repository (with R Code for the cleaning process) can be found here!

Content

This is a cleaned dataset of US state and federal minimum wages from 1968 to 2020 (including 2020 equivalency values). The data was scraped from the United States Department of Labor's table of minimum wage by state.

Description of Data

The values in the dataset are as follows: - Year: The year of the data. All minimum wage values are as of January 1 except 1968 and 1969, which are as of February 1. - State: The state or territory of the data. - State.Minimum.Wage: The actual State's minimum wage on January 1 of Year. - State.Minimum.Wage.2020.Dollars: The State.Minimum.Wage in 2020 dollars. - Federal.Minimum.Wage: The federal minimum wage on January 1 of Year. - Federal.Minimum.Wage.2020.Dollars: The Federal.Minimum.Wage in 2020 dollars. - Effective.Minimum.Wage: The minimum wage that is enforced in State on January 1 of Year. Because the federal minimum wage takes effect if the State's minimum wage is lower than the federal minimum wage, this is the higher of the two. - Effective.Minimum.Wage.2020.Dollars: The Effective.Minimum.Wage in 2020 dollars. - CPI.Average: The average value of the Consumer Price Index in Year. When I pulled the data from the Bureau of Labor Statistics, I selected the dataset with "all items in U.S. city average, all urban consumers, not seasonally adjusted". - Department.Of.Labor.Uncleaned.Data: The unclean, scraped value from the Department of Labor's website. - Department.Of.Labor.Cleaned.Low.Value: The State's lowest enforced minimum wage on January 1 of Year. If there is only one minimum wage, this and the value for Department.Of.Labor.Cleaned.High.Value are identical. (Some states enforce different minimum wage laws depending on the size of the business. In states where this is the case, generally, smaller businesses have slightly lower minimum wage requirements.) - Department.Of.Labor.Cleaned.Low.Value.2020.Dollars: The Department.Of.Labor.Cleaned.Low.Value in 2020 dollars. - Department.Of.Labor.Cleaned.High.Value: The State's higher enforced minimum wage on January 1 of Year. If there is only one minimum wage, this and the value for Department.Of.Labor.Cleaned.Low.Value are identical. - Department.Of.Labor.Cleaned.High.Value.2020.Dollars: The Department.Of.Labor.Cleaned.High.Value in 2020 dollars. - Footnote: The footnote provided on the Department of Labor's website. See more below.

Data Footnotes

As laws differ significantly from territory to territory, especially relating to whom is protected by minimum wage laws, the following footnotes are located throughout the data in Footnote to add more context to the minimum wage. The original footnotes can be found here.

--- Original source retains full ownership of the source dataset ---

Graph and download economic data for Average Weekly Earnings, Manufacturing, Total for United States (M08261USM052NNBR) from Jun 1914 to Mar 1969 about earnings, manufacturing, and USA.

Bangladesh Wage Rate Index: Dhaka: Manufacturing data was reported at 13,842.530 1969-1970=100 in Dec 2018. This records an increase from the previous number of 13,788.190 1969-1970=100 for Nov 2018. Bangladesh Wage Rate Index: Dhaka: Manufacturing data is updated monthly, averaging 6,234.410 1969-1970=100 from Dec 1998 (Median) to Dec 2018, with 241 observations. The data reached an all-time high of 13,842.530 1969-1970=100 in Dec 2018 and a record low of 2,539.000 1969-1970=100 in Dec 1998. Bangladesh Wage Rate Index: Dhaka: Manufacturing data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics . The data is categorized under Global Database’s Bangladesh – Table BD.G021: Wage Rate Index: 1969-1970=100.

Graph and download economic data for Per Capita Personal Income in Austin-Round Rock, TX (MSA) (AUST448PCPI) from 1969 to 2023 about Austin, personal income, per capita, personal, TX, income, and USA.

Bangladesh Wage Rate Index: Rajshahi data was reported at 12,437.340 1969-1970=100 in Dec 2018. This records a decrease from the previous number of 12,475.880 1969-1970=100 for Nov 2018. Bangladesh Wage Rate Index: Rajshahi data is updated monthly, averaging 5,195.580 1969-1970=100 from Dec 1998 (Median) to Dec 2018, with 240 observations. The data reached an all-time high of 12,475.880 1969-1970=100 in Nov 2018 and a record low of 2,304.000 1969-1970=100 in Dec 1998. Bangladesh Wage Rate Index: Rajshahi data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics . The data is categorized under Global Database’s Bangladesh – Table BD.G021: Wage Rate Index: 1969-1970=100.

Graph and download economic data for Per Capita Personal Income in San Diego County, CA (PCPI06073) from 1969 to 2023 about San Diego County, CA; San Diego; personal income; per capita; CA; personal; income; and USA.

Graph and download economic data for Per Capita Personal Income in Madison, WI (MSA) (MADI555PCPI) from 1969 to 2023 about Madison, WI, personal income, per capita, personal, income, and USA.

Graph and download economic data for Per Capita Personal Income in Las Vegas-Henderson-Paradise, NV (MSA) (LASV832PCPI) from 1969 to 2023 about Las Vegas, NV, personal income, per capita, personal, income, and USA.

Graph and download economic data for Per Capita Personal Income in Lafayette Parish, LA (PCPI22055) from 1969 to 2023 about Lafayette Parish, LA; Lafayette; LA; personal income; per capita; personal; income; and USA.

Graph and download economic data for Per Capita Personal Income in Miami-Dade County, FL (PCPI12086) from 1969 to 2023 about Miami-Dade County, FL; Miami; personal income; per capita; FL; personal; income; and USA.

Graph and download economic data for Per Capita Personal Income in New York County, NY (PCPI36061) from 1969 to 2023 about New York County, NY; New York; personal income; NY; per capita; personal; income; and USA.

Graph and download economic data for Per Capita Personal Income in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA) (WASH911PCPI) from 1969 to 2023 about DC, Washington, MD, WV, VA, personal income, per capita, personal, income, and USA.