National spending by category

This monthly compendium of statistics and articles on the UK economy was been replaced by the Economic and Labour Market Review.

Source agency: Office for National Statistics

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: ET

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.

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These market data provide a comprehensive set of measures of changes in economic activity throughout the coastal regions of the United States. In regard to the sources of data, establishments, employment, and wages are taken from the Quarterly Census of Employment and Wages (QCEW). The data series also is known as the ES-202 data. These data are based on the quarterly reports of nearly all employers in the United States. These reports are filed with each state's employment or labor department, and each state then transmits the data to the Bureau of Labor Statistics (BLS), where the national databases are maintained. The data for the Coastal Economies have been taken from the national databases at BLS (except in the case of Massachusetts). Gross State Product (GSP) data are taken from the Bureau of Economic Analysis (BEA), which develops the estimates of GSP from a number of sources. In regard to "employment", data are reported by employers, not employees, and does not contain any information about age. There is no difference between "employed" and "employment". The source is known as the payroll survey, a survey filed by employers every 3 months showing the number of people employed at each establishment in each of the preceding 3 months. Detailed information on the geographies the data are available for can be found here: https://coast.noaa.gov/htdata/SocioEconomic/CoastalEconomy/CoastalEconomy_DataDescription.pdf

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

Explore the most important economic variables dataset including Gross Domestic Product, Inflation, Imports, Exports, Population, National Accounts, and more. Analyze economic trends in United Arab Emirates and make informed decisions.

Gross Domestic Product (Million US$), Inflation %, Imports of Goods and Services (cif), Population (Thousand Persons), Exports of Goods and Services (fob), Disposable Income (Million US$), Gross National Income (Million US$), Net National Income (Million US$), National Saving (Million US$), Final Consumption Expenditure (Million US$), Gross Fixed Capital Formation (Million US$), GDP, wages, CPI, Price, ITEM

United Arab Emirates Follow data.kapsarc.org for timely data to advance energy economics research.. 2019 Data is Preliminary.

New Caledonia Google Search Trends: Economic Measures: Unemployment data was reported at 7.000 Score in 14 May 2025. This records a decrease from the previous number of 10.000 Score for 13 May 2025. New Caledonia Google Search Trends: Economic Measures: Unemployment data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 100.000 Score in 17 Sep 2024 and a record low of 0.000 Score in 10 May 2025. New Caledonia Google Search Trends: Economic Measures: Unemployment data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s New Caledonia – Table NC.Google.GT: Google Search Trends: by Categories.

New Caledonia Google Search Trends: Economic Measures: Short-Time Working data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. New Caledonia Google Search Trends: Economic Measures: Short-Time Working data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 70.000 Score in 30 Jun 2022 and a record low of 0.000 Score in 14 May 2025. New Caledonia Google Search Trends: Economic Measures: Short-Time Working data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s New Caledonia – Table NC.Google.GT: Google Search Trends: by Categories.

New Caledonia Google Search Trends: Government Measures: Government Subsidy data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. New Caledonia Google Search Trends: Government Measures: Government Subsidy data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 46.000 Score in 03 Apr 2024 and a record low of 0.000 Score in 14 May 2025. New Caledonia Google Search Trends: Government Measures: Government Subsidy data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s New Caledonia – Table NC.Google.GT: Google Search Trends: by Categories.

An essential resource for all users of UK economic and labour market statistics. It draws together the expert research and analysis and range of content found in Economic Trends and Labour Market Trends to build an up-to-date, comprehensive and unique statistical picture of the UK economy and labour market.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: ELMR

In March 2024, the index for economic expectations in Switzerland for the next six months stood at **** points and was therefore in the optimistic range; the current economic situation was also assessed positively at **** points. The index (CS CFA Society Switzerland Indicator, or CS-CFA Index for short) is based on a survey of financial analysts. The balance values result from the difference between the positive and negative assessments; neutral responses are not included.

Explore the growth rate of Gross Domestic Product (GDP) by kind of economic activity in Saudi Arabia. Access valuable GDP data and insights to track national accounts and economic trends.

GDP, Growth, National Accounts, GDP data Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Y-o-Y

Graph and download economic data for Gross National Product (GNP) from Q1 1947 to Q1 2025 about GNP, GDP, and USA.

Water provides society with economic benefits that increasingly involve tradeoffs, making accounting for water quality, quantity, and their corresponding economic productivity more relevant in our interconnected world. In the past, physical and economic data about water have been fragmented, but integration is becoming more widely adopted internationally through application of the System of Environmental-Economic Accounts for Water (SEEA-Water), which enables the tracking of linkages between water and the economy over time and across scales. In this paper, we present the first national and subnational SEEA-Water accounts for the United States. We compile accounts for: (1) physical supply and use of water, (2) water productivity, (3) water quality, and (4) water emissions. These cover state and national levels for roughly the years 2000 to 2015. The results illustrate broad aggregate trends as well as subnational or industry-level phenomena. Specifically, the accounts show that total U.S. water use declined by 22% from 2000 to 2015, continuing a national trend seen since 1980. Total water use fell in 44 states, though groundwater use increased in 21 states. Nationally, a larger percent of water use comes from groundwater than at any time since 1950. Reductions in water use, combined with economic growth, lead to increases in water productivity for the entire national economy (65%), mining (99%), and agriculture (68%), though substantial variation occurred among states. Surface-water quality trends for the years 2002 to 2012 were most evident at regional levels, and differ by water-quality constituent and region. Chloride, nitrate, and total dissolved solids levels in groundwater had more consistent and widespread water-quality declines nationally. This work provides a baseline of recent historical water resource trends and their value in the U.S., as well as roadmap for the completion of future accounts for water, a critical ecosystem service. Our work also aids in the interpretation of ecosystem accounts in the context of long-term trends in U.S. water resources.

Selected scientific publications. Publications of official statistics.

National Highway Construction Cost Index

New Caledonia Google Search Trends: Online Classroom: Zoom data was reported at 0.000 Score in 22 Nov 2024. This stayed constant from the previous number of 0.000 Score for 21 Nov 2024. New Caledonia Google Search Trends: Online Classroom: Zoom data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 22 Nov 2024, with 1088 observations. The data reached an all-time high of 57.000 Score in 25 Jan 2022 and a record low of 0.000 Score in 22 Nov 2024. New Caledonia Google Search Trends: Online Classroom: Zoom data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s New Caledonia – Table NC.Google.GT: Google Search Trends: by Categories.

Graph and download economic data for Nominal Gross National Saving for Burundi (BDINGSGDPPT) from 2000 to 2026 about Burundi, savings, REO, and gross.

Graph and download economic data for Nominal Gross National Saving for Mali (MLINGSGDPPT) from 2000 to 2026 about Mali, savings, REO, and gross.