As of August 2024, Mexico's Secretariat of Finance and Public Credit (SHCP in its acronym in Spanish) forecasted that the Mexican economy would grow by three percent in 2025. This was the most optimistic forecast produced among all the agencies shown in this graph.

View quarterly updates and historical trends for US Real GDP Forecast. from United States. Source: Oregon Office of Economic Analysis. Track economic data…

Big data generated from the Internet offer great potential for predictive analysis. Here we focus on using online users’ Internet search data to forecast unemployment initial claims weeks into the future, which provides timely insights into the direction of the economy. To this end, we present a novel method Penalized Regression with Inferred Seasonality Module (PRISM), which uses publicly available online search data from Google. PRISM is a semiparametric method, motivated by a general state-space formulation, and employs nonparametric seasonal decomposition and penalized regression. For forecasting unemployment initial claims, PRISM outperforms all previously available methods, including forecasting during the 2008–2009 financial crisis period and near-future forecasting during the COVID-19 pandemic period, when unemployment initial claims both rose rapidly. The timely and accurate unemployment forecasts by PRISM could aid government agencies and financial institutions to assess the economic trend and make well-informed decisions, especially in the face of economic turbulence.

The impact of the coronavirus (COVID-19) lockdown in India slashed GDP growth forecasts for financial year 2021. Among the agencies that estimated growth, World Bank predicted a contraction of nearly *** percent, while the SBI (before the Maharashtra lockdown in April 2021) estimated a decline of ***** percent.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

This data product provides three Excel file spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat).

Using Futures Prices to Forecast the Season-Average Price and Counter-Cyclical Payment Rate for Corn, Soybeans, and Wheat

Farmers and policymakers are interested in the level of counter-cyclical payments (CCPs) provided by the 2008 Farm Act to producers of selected commodities. CCPs are based on the season-average price received by farmers. (For more information on CCPs, see the ERS 2008 Farm Bill Side-By-Side, Title I: Commodity Programs.)

This data product provides three Excel spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Users can view the model forecasts or create their own forecast by inserting different values for futures prices, basis values, or marketing weights. Example computations and data are provided on the Documentation page.

Spreadsheet Models

For each of the three major U.S. field crops, the Excel spreadsheet model computes a forecast for:

1. the national-level season-average price received by farmers and
2. the implied counter-cyclical payment rate.

Note: the model forecasts are not official USDA forecasts. See USDA's World Agricultural Supply and Demand Estimates for official USDA season-average price forecasts. See USDA's Farm Service Agency information for official USDA CCP rates.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Webpage with links to Excel files For complete information, please visit https://data.gov.

Japan MOR: QoQ%: Forecast: Agencies data was reported at 4.700 % in Dec 2018. This records an increase from the previous number of -3.100 % for Sep 2018. Japan MOR: QoQ%: Forecast: Agencies data is updated quarterly, averaging 1.150 % from Mar 2006 (Median) to Dec 2018, with 52 observations. The data reached an all-time high of 28.700 % in Mar 2013 and a record low of -20.300 % in Jun 2009. Japan MOR: QoQ%: Forecast: Agencies data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.C065: Machinery Orders Received: QoQ%: Forecast.

View yearly updates and historical trends for US Prime Rate Forecast. from United States. Source: Oregon Office of Economic Analysis. Track economic data …

Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Nat.Agency for Counterterrorism data was reported at 699.600 IDR bn in 2019. This records an increase from the previous number of 505.600 IDR bn for 2018. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Nat.Agency for Counterterrorism data is updated yearly, averaging 408.700 IDR bn from Dec 2012 (Median) to 2019, with 8 observations. The data reached an all-time high of 699.600 IDR bn in 2019 and a record low of 126.900 IDR bn in 2012. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Nat.Agency for Counterterrorism data remains active status in CEIC and is reported by Directorate General of Budget. The data is categorized under Global Database’s Indonesia – Table ID.FA001: Government Budget: Forecast: Directorate General of Budget.

This forecast statistic shows the revenue of real estate agencies in Germany from 2009 to 2014, with forecasts up until 2020. By 2016, revenues of real estate agencies in Germany are projected to reach approximately 11.23 billion U.S. dollars.

This statistic shows the revenue of the industry “travel agency activities“ in Norway from 2012 to 2018, with a forecast to 2025. It is projected that the revenue of travel agency activities in Norway will amount to approximately 2,681.69 million U.S. Dollars by 2025.

View yearly updates and historical trends for US Consumer Price Index Forecast. from United States. Source: Oregon Office of Economic Analysis. Track econ…

This statistic shows the revenue of the industry “travel agency activities“ in Turkey from 2011 to 2018, with a forecast to 2023. It is projected that the revenue of travel agency activities in Turkey will amount to approximately 12,9 billion U.S. Dollars by 2023.

CO Forecast: Unemployment Rate data was reported at 2.300 % in 2019. This records a decrease from the previous number of 2.700 % for 2018. CO Forecast: Unemployment Rate data is updated yearly, averaging 4.200 % from Mar 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 5.600 % in 2003 and a record low of 2.300 % in 2019. CO Forecast: Unemployment Rate data remains active status in CEIC and is reported by Cabinet Office. The data is categorized under Global Database’s Japan – Table JP.G010: Unemployment Rate: Forecast: Cabinet Office.

Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Agency Fin.Supervision & Dev data was reported at 1,431.800 IDR bn in 2019. This records a decrease from the previous number of 1,452.000 IDR bn for 2018. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Agency Fin.Supervision & Dev data is updated yearly, averaging 1,083.050 IDR bn from Dec 2006 (Median) to 2019, with 14 observations. The data reached an all-time high of 1,633.400 IDR bn in 2016 and a record low of 476.400 IDR bn in 2006. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Agency Fin.Supervision & Dev data remains active status in CEIC and is reported by Directorate General of Budget. The data is categorized under Global Database’s Indonesia – Table ID.FA001: Government Budget: Forecast: Directorate General of Budget.

Panama MEF Forecast: NFPS: Revenue: Current: Other Unconsolidated Agencies data was reported at 0.000 PAB mn in 2022. This records a decrease from the previous number of 42.000 PAB mn for 2021. Panama MEF Forecast: NFPS: Revenue: Current: Other Unconsolidated Agencies data is updated yearly, averaging 0.000 PAB mn from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 137.000 PAB mn in 2018 and a record low of 0.000 PAB mn in 2022. Panama MEF Forecast: NFPS: Revenue: Current: Other Unconsolidated Agencies data remains active status in CEIC and is reported by Ministry of Economy and Finance. The data is categorized under Global Database’s Panama – Table PA.F009: Non Financial Public Sector: Revenue and Expenditure: Forecast: Ministry of Economy and Finance.

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.

This statistic shows the revenue of temporary employment agencies in India from 2008 to 2012, with a projection until 2018. In 2010, revenues of temporary employment agencies in India amounted to approximately 5.28 billion U.S. dollars.

Real Estate Agency Market Outlook

The global real estate agency market size is projected to grow from USD 1.3 trillion in 2023 to USD 1.8 trillion by 2032, at a compound annual growth rate (CAGR) of 3.6%. This growth is driven by increasing urbanization, economic growth in emerging markets, and technological advancements in property management and client services. The expanding middle class and their growing purchasing power, coupled with favorable government policies and investments in infrastructure, are significant contributors to this market's expansion. Additionally, digital transformation and the adoption of advanced analytics are providing a solid foundation for market growth.

One major growth factor in the real estate agency market is the shift towards urban living. As more people migrate to urban areas in search of better employment opportunities and living standards, the demand for residential and commercial properties skyrockets. This urbanization trend is particularly pronounced in developing countries, where rapid economic growth is accompanied by significant investments in infrastructure. Moreover, urban areas tend to offer better real estate returns compared to rural regions, attracting more investors and driving the market further.

Another contributing factor is technological innovation. The integration of digital tools such as virtual tours, artificial intelligence, and big data analytics has revolutionized the real estate market. These technologies enable real estate agencies to offer more personalized and efficient services, such as virtual property showings, automated valuation models, and targeted marketing strategies. Furthermore, blockchain technology is increasingly being used for secure and transparent property transactions, reducing fraud and enhancing trust among buyers and sellers.

Government policies and economic factors also play a crucial role in market growth. Many governments offer incentives to both property developers and buyers to stimulate the real estate market. These incentives can include tax breaks, reduced interest rates on loans, and subsidies for green building projects. Additionally, economic stability and growth foster consumer confidence, encouraging more people to invest in real estate. Various countries are also investing in large-scale infrastructure projects, such as smart cities and transportation networks, which significantly boost the real estate market.

Regionally, the Asia Pacific market is witnessing robust growth due to rapid urbanization, economic development, and government initiatives aimed at boosting infrastructure and real estate development. North America and Europe also show steady growth, driven by technological advancements and favorable economic conditions. Latin America and the Middle East & Africa are emerging markets with significant growth potential, fueled by increasing foreign investments and improving economic scenarios.

Service Type Analysis

The residential brokerage segment holds a significant portion of the real estate agency market, driven by high demand for residential properties in urban areas. The growing middle class and their increased purchasing power are key factors fueling this segment. Residential brokerage services include buying, selling, and renting homes, which are increasingly being facilitated through digital platforms. Online listing services and virtual tours are becoming the norm, providing convenience and efficiency for both buyers and sellers. Additionally, government incentives for first-time homebuyers further boost this segment.

Commercial brokerage, another critical segment, is driven by the demand for office spaces, retail outlets, and industrial units. The rise of e-commerce has increased the need for warehouse and distribution centers, significantly impacting the commercial brokerage market. Moreover, as businesses expand and new startups emerge, the need for office spaces grows, propelling this segment forward. Commercial brokers often work with large corporations, providing specialized services such as market analysis, property valuation, and lease negotiations.

Industrial brokerage is a niche yet growing segment that focuses on properties used for manufacturing, research and development, and logistics. The rise of automated and smart manufacturing facilities has led to an increased demand for specialized industrial properties. Real estate agencies in this segment offer services that cater to the unique needs of industrial clients, including site selection, facility management, and compliance with zoning la

View yearly updates and historical trends for Oregon Other Labor Income Forecast. Source: Oregon Office of Economic Analysis. Track economic data with YCh…

The Gross Domestic Product (GDP) in Japan expanded 0.50 percent in the second quarter of 2025 over the previous quarter. This dataset provides - Japan GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.