Graph and download economic data for Nonfarm Business Sector: Labor Productivity (Output per Hour) for All Workers (OPHNFB) from Q1 1947 to Q1 2025 about per hour, output, headline figure, sector, nonfarm, business, real, persons, and USA.

Employment Rate in the United States remained unchanged at 59.70 percent in June. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Recent US Manufacturing Employment: The Exception that Proves the Rule, PIIE Working Paper 17-12. If you use the data, please cite as: Lawrence, Robert Z. (2017). Recent US Manufacturing Employment: The Exception that Proves the Rule. PIIE Working Paper 17-12. Peterson Institute for International Economics.

Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to Jun 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

The past five decades have seen a remarkable convergence in the economic roles of men and women in society. Yet, persistently large gender gaps in terms of labor supply, earnings, and representation in top jobs remain. Moreover, in countries like the U.S., convergence in labor market outcomes appears to have slowed in recent decades. In this article, we focus on the role of children and show that many potential explanations for the remaining gender disparities in labor market outcomes are related to the fact that children impose significantly larger penalties on the career trajectories of women relative to men. In the U.S., we document that more than two-thirds of the overall gender earnings gap can be accounted for by the differential impacts of children on women and men. We propose a simple model of household decision-making to motivate the link between children and gender gaps in the labor market, and to help rationalize how various factors potentially interact with parenthood to produce differential outcomes by gender. We discuss several forces that might make the road to gender equity even more challenging for modern cohorts of parents, and offer a critical discussion of public policies that seek to address the remaining gaps.

Unit Labour Costs QoQ in the United States increased to 6.60 percent in the first quarter of 2025 from 2 percent in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Unit Labor Costs QoQ.

The more powerful the artificial intelligence (AI) used, the more impressive the benefits on labor productivity will be. This is consistent for those companies adopting AI over a ** year period, with ** year and ** year periods all both demonstrating a far slower increase in productivity. The displacement of labor is far less drastic if companies are willing to employ more powerful AI models.

Initial Jobless Claims in the United States decreased to 221 thousand in the week ending July 12 of 2025 from 228 thousand in the previous week. This dataset provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q1 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

Wages in the United States increased 4.72 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Wages and Salaries Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The past five decades have seen a remarkable convergence in the economic roles of men and women in society. Yet, persistently large gender gaps in terms of labor supply, earnings, and representation in top jobs remain. Moreover, in countries like the U.S., convergence in labor market outcomes appears to have slowed in recent decades. In this article, we focus on the role of children and show that many potential explanations for the remaining gender disparities in labor market outcomes are related to the fact that children impose significantly larger penalties on the career trajectories of women relative to men. In the U.S., we document that more than two-thirds of the overall gender earnings gap can be accounted for by the differential impacts of children on women and men. We propose a simple model of household decision-making to motivate the link between children and gender gaps in the labor market, and to help rationalize how various factors potentially interact with parenthood to produce differential outcomes by gender. We discuss several forces that might make the road to gender equity even more challenging for modern cohorts of parents, and offer a critical discussion of public policies that seek to address the remaining gaps.

Demobilization following the First World War saw millions of soldiers return to their home countries from the trenches, and in doing so, they brought with them another wave of the deadliest and far-reaching pandemic of all time. As the H1N1 influenza virus, known as the Spanish Flu, spread across the world and infected between one third and a quarter of the global population, it impacted all areas of society. One such impact was on workers' wages, as the labor shortage drove up the demand for skilled workers, which then increased wages. In the United States, wages had already increased due to the shortage of workers caused by the war, however the trend increased further in the two or three years after the war, despite the return of so many personnel from overseas.

In the first fifteen years of the twentieth century, wages across the shown industries had increased gradually and steadily in line with inflation, with the hourly wage in manufacturing increasing from roughly 15 cents per hour to 21 cents per hour in this period. Between 1915 and 1921 or 1921 however, the hourly rate more than doubled across most of these industries, with the hourly wage in manufacturing increasing from 21 cents per hour in 1915 to 56 cents per hour in 1920. Although manufacturing wages were the lowest among those shown here, the trend was similar across even the highest paying trades, with hourly wages in the building trade increasing from 57 cents per hour in 1915 to one dollar and eight cents in 1921. The averages of almost all these trades decreased again in 1922, before plateauing or increasing at a slower rate throughout the late 1920s. Other factors, such as the Wall Street Crash of 1929 and subsequent Great Depression, make comparing this data with wages in later decades more difficult, but it does give some insight into the economic effects of pandemics in history.

According to the Bureau of Labor Statistics, four of the ten fastest growing occupations projected between 2023 and 2033 were in the healthcare sector. Nurse practitioners were projected to be the fastest growing occupation out of these four healthcare-related occupations. From 2023 to 2033, it was expected that employment of nurse practitioners will increase by **** percent. This ranks nurse practitioners ***** overall, after wind turbine service technicians and solar photovoltaic installers. The growth rate of NP has slowed down slightly since projections three years ago.

Graph and download economic data for All Employees, Total Private (USPRIV) from Jan 1939 to Jun 2025 about headline figure, establishment survey, private industries, private, employment, industry, and USA.

Private businesses in the United States fired -33 thousand workers in June of 2025 compared to 29 thousand in May of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Job Offers in the United States increased to 7769 Thousand in May from 7395 Thousand in April of 2025. This dataset provides the latest reported value for - United States Job Openings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Non Farm Payrolls in the United States increased by 147 thousand in June of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This 6MB download is a zip file containing 5 pdf documents and 2 xlsx spreadsheets. Presentation on COVID-19 and the potential impacts on employment

May 2020Waka Kotahi wants to better understand the potential implications of the COVID-19 downturn on the land transport system, particularly the potential impacts on regional economies and communities.

To do this, in May 2020 Waka Kotahi commissioned Martin Jenkins and Infometrics to consider the potential impacts of COVID-19 on New Zealand’s economy and demographics, as these are two key drivers of transport demand. In addition to providing a scan of national and international COVID-19 trends, the research involved modelling the economic impacts of three of the Treasury’s COVID-19 scenarios, to a regional scale, to help us understand where the impacts might be greatest.

Waka Kotahi studied this modelling by comparing the percentage difference in employment forecasts from the Treasury’s three COVID-19 scenarios compared to the business as usual scenario.

The source tables from the modelling (Tables 1-40), and the percentage difference in employment forecasts (Tables 41-43), are available as spreadsheets.

Arataki - potential impacts of COVID-19 Final Report

Employment modelling - interactive dashboard

The modelling produced employment forecasts for each region and district over three time periods – 2021, 2025 and 2031. In May 2020, the forecasts for 2021 carried greater certainty as they reflected the impacts of current events, such as border restrictions, reduction in international visitors and students etc. The 2025 and 2031 forecasts were less certain because of the potential for significant shifts in the socio-economic situation over the intervening years. While these later forecasts were useful in helping to understand the relative scale and duration of potential COVID-19 related impacts around the country, they needed to be treated with care recognising the higher levels of uncertainty.

The May 2020 research suggested that the ‘slow recovery scenario’ (Treasury’s scenario 5) was the most likely due to continuing high levels of uncertainty regarding global efforts to manage the pandemic (and the duration and scale of the resulting economic downturn).

The updates to Arataki V2 were framed around the ‘Slower Recovery Scenario’, as that scenario remained the most closely aligned with the unfolding impacts of COVID-19 in New Zealand and globally at that time.

Find out more about Arataki, our 10-year plan for the land transport system

May 2021The May 2021 update to employment modelling used to inform Arataki Version 2 is now available. Employment modelling dashboard - updated 2021Arataki used the May 2020 information to compare how various regions and industries might be impacted by COVID-19. Almost a year later, it is clear that New Zealand fared better than forecast in May 2020.Waka Kotahi therefore commissioned an update to the projections through a high-level review of:the original projections for 2020/21 against performancethe implications of the most recent global (eg International monetary fund world economic Outlook) and national economic forecasts (eg Treasury half year economic and fiscal update)The treasury updated its scenarios in its December half year fiscal and economic update (HYEFU) and these new scenarios have been used for the revised projections.Considerable uncertainty remains about the potential scale and duration of the COVID-19 downturn, for example with regards to the duration of border restrictions, update of immunisation programmes. The updated analysis provides us with additional information regarding which sectors and parts of the country are likely to be most impacted. We continue to monitor the situation and keep up to date with other cross-Government scenario development and COVID-19 related work. The updated modelling has produced employment forecasts for each region and district over three time periods - 2022, 2025, 2031.The 2022 forecasts carry greater certainty as they reflect the impacts of current events. The 2025 and 2031 forecasts are less certain because of the potential for significant shifts over that time.

Data reuse caveats: as per license.

Additionally, please read / use this data in conjunction with the Infometrics and Martin Jenkins reports, to understand the uncertainties and assumptions involved in modelling the potential impacts of COVID-19.

COVID-19’s effect on industry and regional economic outcomes for NZ Transport Agency [PDF 620 KB]

Data quality statement: while the modelling undertaken is high quality, it represents two point-in-time analyses undertaken during a period of considerable uncertainty. This uncertainty comes from several factors relating to the COVID-19 pandemic, including:

a lack of clarity about the size of the global downturn and how quickly the international economy might recover differing views about the ability of the New Zealand economy to bounce back from the significant job losses that are occurring and how much of a structural change in the economy is required the possibility of a further wave of COVID-19 cases within New Zealand that might require a return to Alert Levels 3 or 4.

While high levels of uncertainty remain around the scale of impacts from the pandemic, particularly in coming years, the modelling is useful in indicating the direction of travel and the relative scale of impacts in different parts of the country.

Data quality caveats: as noted above, there is considerable uncertainty about the potential scale and duration of the COVID-19 downturn. Please treat the specific results of the modelling carefully, particularly in the forecasts to later years (2025, 2031), given the potential for significant shifts in New Zealand's socio-economic situation before then.

As such, please use the modelling results as a guide to the potential scale of the impacts of the downturn in different locations, rather than as a precise assessment of impacts over the coming decade.

Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Jun 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

Graph and download economic data for Hires: Total Nonfarm (JTSHIL) from Dec 2000 to May 2025 about hires, nonfarm, and USA.