World gdp growth rate for 2023 was 2.83%, a 0.4% decline from 2022.

<ul style='margin-top:20px;'>

<li>World gdp growth rate for 2022 was <strong>3.24%</strong>, a <strong>3.11% decline</strong> from 2021.</li>
<li>World gdp growth rate for 2021 was <strong>6.35%</strong>, a <strong>9.23% increase</strong> from 2020.</li>
<li>World gdp growth rate for 2020 was <strong>-2.88%</strong>, a <strong>5.55% decline</strong> from 2019.</li>
</ul>Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.

The statistic shows global gross domestic product (GDP) from 1985 to 2024, with projections up until 2030. In 2020, global GDP amounted to about 85.76 trillion U.S. dollars, two and a half trillion lower than in 2019. Gross domestic product Gross domestic product, also known as GDP, is the accumulated value of all finished goods and services produced in a country, often measured annually. GDP is significant in determining the economic health, growth and productivity in the country, and is a stat often used when comparing several countries at a time, most likely in order to determine which country has seen the most progress. Until 2020, Global GDP had experienced a growth every year since 2010. However, a strong growth rate does not necessarily lead to all positive outcomes and often has a negative effect on inflation rates. A severe growth in GDP leads to lower unemployment, however lower unemployment often leads to higher inflation rates due to demand increasing at a much higher rate than supply and as a result prices rise accordingly. In terms of unemployment, growth had been fairly stagnant since the economic downturn of 2007-2009, but it remains to be seen what the total impact of the coronavirus pandemic will be on total employment.

In 2020, global gross domestic product declined by 6.7 percent as a result of the coronavirus (COVID-19) pandemic outbreak. In Latin America, overall GDP loss amounted to 8.5 percent.

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.

Besides the fourth consecutive year of double digit economic growth realized in 2007, data from 2005 to 2007 also showed a successive decline in the rate of economic growth in Cambodia from 13.3 percent in 2005 to 10.2 percent in 2007. Available data for the first nine months of 2008 and current local and global economic trends suggest that Cambodia's economic growth is likely to continue to slow significantly in 2008. Cambodia's two main economic growth-supporting industries, garments and construction, are continuing their downward trend in 2008. External factors, such as fears of a recession in the US and the anticipated end of safeguarding measures, which were imposed by the US and EU against Chinese exports, are adversely affecting the growth of Cambodia's garment industry. Residential construction growth is expected to slow to a negative rate in 2008 and spark bubble risks, given drops in prices expected for residential construction and land, and housing loan credit restrictions. In the meantime, the number of foreign tourist arrivals in Cambodia is continuing to increase steadily, but at a slightly slower pace because of the global economic slowdown as well as current dispute along Thai and Cambodian border. The financial sector is still booming. And, the agricultural sector remains strong thanks to optimal weather conditions and expanding markets for agro-products. Still, investment in agro-industry has remained slim in 2008. In combination with soaring prices for imported raw materials and consumer goods during the year, Cambodia is expected to enjoy only moderate economic growth of 7 percent in 2008, 3.2 percent-point lower than that of 2007. The downward trend is likely to carry over to 2009, when the economic growth rate is expected to slow to about 6 percent. The anticipated launch of a Cambodia Stock Exchange Market and exploitation of the extractive industries such as oil and gas continue to attract attention and draw big investors to Cambodia. Cambodia's economic growth could be speeded up if significant progress is made in critical reforms. These reforms, together with effective anti-corruption policies, would improve the economic and investment environment and potentially spur even higher economic growth.

The Gross Domestic Product (GDP) in the United States contracted 0.50 percent in the first quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Mozambique has experienced rapid growth for over two decades. Growth accelerated remarkably following the end of the civil war, averaging 7.9 percent over 1993-2015, among the highest in sub-Saharan Africa (SSA). However, growth decelerated sharply following the hidden debt crisis in 2016, which led to a crisis of economic governance and a protracted economic slowdown, with growth falling to 3 percent in 2016-2019. The growth slowdown has been further exacerbated by the natural disasters in 2019, the insurgency in Northern Mozambique, escalating since 2017, and the global pandemic since 2020. Mozambique’s existing growth strategy has been limited in its capacity to generate productive jobs and support accelerated poverty reduction. However, the discovery of some of the largest natural gas (LNG) reserves in the world is expected to provide Mozambique with a transformative opportunity for sustained and inclusive growth. The Mozambique Country Economic Memorandum (CEM) assesses Mozambique’s current growth model and presents a set of recommendations to: (i) make the best use of the non-renewable natural resource revenues, which includes putting in place an adequate policy and institutional framework well ahead of the revenue windfalls from the LNG sector; and (ii) promote growth in non-extractive sectors, accompanied by spatial transformation, and improved agricultural productivity. The report consists of five chapters. Chapter one provides an overview of Mozambique’s current growth model, asking what’s driving growth and outlining why this model needs rethinking. Chapter two provides analysis of the potential impact of Mozambique’s resource boom on GDP, exports, revenue, and employment, and discusses how to make good use of the opportunities and manage the associated risks. Chapter three tells Mozambique’s growth story from a spatial perspective. It constructs a unique district-by-district sectoral GDP database to identify the main growth nodes in Mozambique and understand why there is a weak link between growth and poverty reduction. The services sector is the subject of chapter four, exploring how to overcome bottlenecks to deliver on its potential to drive growth in Mozambique. Chapter five continues this theme, examining the challenges posed to private sector growth by weak governance and rising corruption. All five chapters make policy recommendations for the way forward.

This report provides an evaluation of the impact of changing economic conditions on Job Services Australia (JSA) from 1 July 2009 to January 2010 as specified in the JSA evaluation strategy. The major goal of this project is to assess the effect of the economic downturn on employment services, particularly with regard to: •job seeker numbers and characteristics •the broad patterns of assistance provided by JSA •the costs to the Government of the assistance provided and the costs borne by JSA in providing that assistance •the effectiveness of this assistance in achieving placements and outcomes.

This report is provided by the Department of Jobs and Small Business (previously Department of Employment).

The Gross Domestic Product (GDP) in India expanded 7.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - India GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The performance of the Malian economy is largely dependent on the performance of the agricultural sector. The overall good growth in the Malian economy over the last several years is attributed to the agricultural GDP growth. Since 1995, the economy grew at about 5 percent per year until 2010, but a global recession, the military coup and terrorist activity caused a noticeable slowdown in GDP to about 1.2 percent in 2011-2012. The economic growth has resumed at a slow pace since 2013 and is currently estimated around 4.5 percent for 2014-2015. Agricultural development in general and agricultural finance in particular is hampered by a lack of quality data on the sector. Although improving, reliable statistical information is still lacking in Mali. There are often inconsistencies in agricultural data presented in the various reports available in the country. Although data on the main food crops and cotton are readily available, quality information on the high potential value chains, like mango and meat and dairy value chains, is less frequently provided. The lack of quality agricultural statistics makes public planning and analysis difficult and deters private sector investment.

The Gross Domestic Product (GDP) in China expanded 5.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

There are at least five major risks that could threaten the global economy if they materialize:

Rising geopolitical tensions. Geopolitical tensions have become the single most important risk confronting the global economy (Figure 2. ...
China's economic slowdown. ...
Surging financial stress. ...
Trade fragmentation. ...
Climate change.

Executive summary - The Tokelau Government has been very vigilant in looking after its people. Tokelau people are very fortunate to have free access to basic services such as education and health. There are no extreme cases of poverty identified. The Health Programmes that have and are currently being implemented have resulted in Tokelau being free of major communicable diseases such as HIV/AIDS, Tuberculosis and Dengue Fever. However, Tokelau is not exempt from incidences of non communicable diseases and faces the same global challenges regarding the main lifestyle diseases of hypertension, diabetes and obesity. These Health programmes also ensure that diseases are detected in their early stages and treated accordingly.

The global economic crisis and ongoing concerns about the negative effects of climate change can have serious impact on the future development of small island developing states (SIDS) like Tokelau. The global economy is forecast to grow at 3 percent on average per year, a rate below that of the last two decades (Global Economic Outlook 2012). The risk is when the economic slowdown affects the average growth of output per capita which means that people will struggle to maintain the current standard of living. On the environmental front decisions affecting climate change have to be swift and effective because of their undesirable effects in particular on low lying coral atolls such as Tokelau. The slowdown in the global economy will have an effect on the donor’s ability to assist developing countries.

Tokelau faces two main challenges: (i) strengthening and maintaining its partnerships with its development partners against a background of slow economic growth in donor countries themselves and; (ii) the sustainability of its environment against the serious threat of climate change.
Tokelau faces the threat of losing its nation if the strategies it employs today to preserve and sustain its environment are not correct or delayed in implementation. Coral erosion, sea and land pollution and changes in weather patterns all contribute to the future sustainability of their fragile environment. Tokelau will face food security issues and an increase in potential diseases if it fails to prioritize these issues immediately.

Tokelau will have to come up with ways to raise its revenue earning capacity or alternatively explore areas and avenues where they can reduce public expenditures whilst maintaining the required service delivery to its people. Tokelau’s effort to switch to renewable energy will cut down its reliance on imported fossil fuels especially diesel for electricity production.

This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a demographic shift of an ageing population and significant technological automation. So if you think that stocks or equities or ETFs are the best place to put your money in 2022, you might want to think again. The crash of the OTC and small-cap market since February 2021 has been quite an indication of what a correction looks like. According to the Motley Fool what happens after major downturns in the market historically speaking? In each of the previous four instances that the S&P 500's Shiller P/E shot above and sustained 30, the index lost anywhere from 20% to 89% of its value. So what's what we too are due for, reversion to the mean will be realistically brutal after the Fed's hyper-extreme intervention has run its course. Of course what the Fed stimulus has really done is simply allowed the 1% to get a whole lot richer to the point of wealth inequality spiraling out of control in the decades ahead leading us likely to a dystopia in an unfair and unequal version of BigTech capitalism. This has also led to a trend of short squeeze to these tech stocks, as shown in recent years' data. Of course the Fed has to say that's its done all of these things for the people, employment numbers and the labor market. Women in the workplace have been set behind likely 15 years in social progress due to the pandemic and the Fed's response. While the 89% lost during the Great Depression would be virtually impossible today thanks to ongoing intervention from the Federal Reserve and Capitol Hill, a correction of 20% to 50% would be pretty fair and simply return the curve back to a normal trajectory as interest rates going back up eventually in the 2023 to 2025 period. It's very unlikely the market has taken Fed tapering into account (priced-in), since the euphoria of a can't miss market just keeps pushing the markets higher. But all good things must come to an end. Earlier this month, the U.S. Bureau of Labor Statistics released inflation data from July. This report showed that the Consumer Price Index for All Urban Consumers rose 5.2% over the past 12 months. While the Fed and economists promise us this inflation is temporary, others are not so certain. As you print so much money, the money you have is worth less and certain goods cost more. Wage gains in some industries cannot be taken back, they are permanent - in the service sector like restaurants, hospitality and travel that have been among the hardest hit. The pandemic has led to a paradigm shift in the future of work, and that too is not temporary. The Great Resignation means white collar jobs with be more WFM than ever before, with a new software revolution, different transport and energy behaviors and so forth. Climate change alone could slow down global GDP in the 21st century. How can inflation be temporary when so many trends don't appear to be temporary? Sure the price of lumber or used-cars could be temporary, but a global chip shortage is exasperating the automobile sector. The stock market isn't even behaving like it cares about anything other than the Fed, and its $billions of dollars of buying bonds each month. Some central banks will start to taper about December, 2021 (like the European). However Delta could further mutate into a variant that makes the first generation of vaccines less effective. Such a macro event could be enough to trigger the correction we've been speaking about. So stay safe, and keep your money safe. The Last Dance of the 2009 bull market could feel especially more painful because we've been spoiled for so long in the markets. We can barely remember what March, 2020 felt like. Some people sold their life savings simply due to scare tactics by the likes of Bill Ackman. His scare tactics on CNBC won him likely hundreds of millions as the stock market tanked. Hedge funds further gamed the Reddit and Gamestop movement, orchestrating them and leading the new retail investors into meme speculation and a whole bunch of other unsavory things like options trading at such scale we've never seen before. It's not just inflation and higher interest rates, it's how absurdly high valuations have become. Still correlation does not imply causation. Just because inflation has picked up, it doesn't guarantee that stocks will head lower. Nevertheless, weaker buying power associated with higher inflation can't be overlooked as a potential negative for the U.S. economy and equities. The current S&P500 10-year P/E Ratio is 38.7. This is 97% above the modern-era market average of 19.6, putting the current P/E 2.5 standard deviations above the modern-era average. This is just math, folks. History is saying the stock market is 2x its true value. So why and who would be full on the market or an asset class like crypto that is mostly speculative in nature to begin with? Study the following on a historical basis, and due your own due diligence as to the health of the markets: Debt-to-GDP ratio Call to put ratio

There’s no denying that the global economy has been and will continue to be disrupted for the next several months due to the pandemic. We are in an economic downturn. While restaurants, retail stores, offices, and factories temporarily cease operations to help combat the spread of the virus, the threat of a global recession doesn’t […]

Goldman Sachs highlights risks of Brent crude falling below $40 amid trade tensions and increased OPEC+ production.

The parasol market is anticipated to expand at a considerable CAGR during the forecast period, between 2020 and 2026. The growth of the market is attributed to increasing consciousness regarding the appearance across the globe. Additionally, increase in product innovations is also boosting the growth of the market. However, the economic slowdown worldwide is one of the primary factors hindering the growth of the market.



Parasol is a type of umbrella which is light in weight. It is used for the purpose of providing shade from the sun light. Parasols were first introduced and used in southern European countries. It became famous by the mid-18^th century in England. Parasols became a necessary fashion accessory for women throughout Europe in 19^th century as well.
Parasols helped women to maintain pale complexion of skin and prevent their skin from becoming darker in sunlight. It is smaller in size and lighter in weight as compared to regular umbrellas. The material of parasol used is mostly fabric. Additionally, some parasols are water-proof and some are not water-proof.

Market Trends, Drivers, Restraints, and Opportunities:

• Surging demand for parasols is due to consciousness of good looks and appearance among the female consumers to protect their skin from sunrays, maintain healthy and glowing skin, and maintain pale complexion. Thus, it propels the growth of the global parasols market.
• Increasing awareness of the benefits of parasol among the consumers across the globe is boosting the demand for parasols which is driving the growth of the market.
• The low costs of parasols encourage women from most of the income groups to purchase the product. Additionally, durability and increasing life span of parasol is also fueling the growth of the market.
• Ease of availability of parasols across the globe and low maintenance cost are the primary factors boosting the growth of the market.
• Surging innovations of parasols is one of the factors increasing the demand for the product, thus propelling the growth of the market.
• Decreasing economy and slowdown globally is one of the key factors restraining the growth of the market.
• Rising negative mindset of consumers regarding the use of parasols as show-off and negative attitude in the society is also one of primary factors hampering the growth of the global parasols market.

Scope of the Report

Abstract

The recent global economic slowdown, caused by the COVID-19 pandemic, created an urgent need for timely data to monitor the socioeconomic impacts of the pandemic. Tanzania is among other countries in the world which are affected by the recent global economic slowdown, caused by the COVID-19 pandemic. Therefore, there is an urgent need for timely data to monitor and mitigate the socio-economic impacts of the crisis in the country. Responding to this need, the National Bureau of Statistics (NBS) and the Office of the Chief Government Statistician (OCGS), Zanzibar in collaboration with the World Bank and Research on Poverty Alleviation (REPOA) implemented a rapid household telephone survey called the Tanzania High-Frequency Welfare Monitoring Survey (HFWMS).

Thus, the main objective of the survey is to obtain timely data that is critical for evidence-based decision making aimed at mitigating the socio-economic impact of the downturn caused by COVID-19 pandemic by filling critical gaps of information that can be used by the government and stakeholders to help design policies to mitigate the negative impacts on its population.

Geographic coverage

National

Analysis unit

Households Individuals

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary sample for this activity was drawn from the 2014/15 NPS and 2017/18 HBS. Target sample completion each month is estimated at 3000 households. The 2014/15 NPS acted as the primary sample frame, complimented by the 2017/18 HBS.

The sample for the HFWMPS was drawn from the 2014/15 NPS and 2017/18 HBS. Both surveys were conducted over a 12-month period and are nationally representative. During the implementation of the surveys, phone numbers are collected from interviewed households and reference persons who are in close contact with the household in order to assist in locating and interviewing households who may have moved in subsequent waves of the survey. This comprehensive set of phone numbers as well as the already well-established relationship between NBS and these households made this an ideal frame from which to conduct the HFWMS in Tanzania.

To obtain a nationally representative sample for the Tanzania HFWMS, a sample size of approximately 3,000 successfully interviewed households was targeted. However, to reach that target, a larger pool of households needed to be selected from the frame due to non-contact and non-response common for telephone surveys. Thus, about 5,750 households were selected to be contacted.

All 5,750 households were contacted in the baseline round of the phone survey. [Error! Reference source not found. ] presents the interview result for the baseline sample. 49.2 percent of sampled households were successfully contacted. Of those contacted, 96 percent or 2,708 households were fully interviewed. These 2,708 households constitute the final successful sample and will be contacted in subsequent rounds of the survey.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Each survey round consists of one questionnaire - a Household Questionnaire administered to all households in the sample.

Baseline The questionnaire gathers information on demographics; employment; education; access to basic services; food security; TASAF; and mental health. The contents of questionnaire are outlined below:

• Cover: Household identifiers and enumerator identifiers.
• Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to.
• Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left.
• Employment: Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, reason for not able to perform activities as usual, and reason for reduced revenue from family business.
• Education: School attendance, type of school attended, learning activities of children at home, return to school, contact with children’s teachers during school closure.
• Access to Basic Services:Household’s access to staple food (maize grain, cassava, rice, and maize flour), medical treatment, and reasons for not being able to access the services.
• Food Security: Household’s food security status during the last 30 days.
• TASAF: Households access to the TASAF money, use of the money received, challenges encountered in accessing the funds.
• Mental Health: Information on 8 items pertaining to measuring mental health.
• Recontact: Data on how the household can be recontacted in the future.
• Interview Results: Result of interview including observation notes by enumerator regarding the interview, respondent and language of interview.

Round 2 The questionnaire gathers information on demographics; employment; non-farm enterprise; tourism; education; access to health services; and TASAF. The contents of questionnaire are outlined below:

• Cover: Household identifiers and enumerator identifiers.
• Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to.
• Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left.
• Employment: Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, and reason for not able to perform activities as usual.
• Non-farm Enterprise: Status and information of non-farm income-generating activities, reason for stopped operating, reason for not able to perform activities as usual, and reason for reduced revenue from family business.
• Tourism: Employment of household members in tourism sector, and who benefits from tourism.
• Education (selected members aged 4-18 years): School attendance, reason for not attending, grade attending, type of school, absence and reason for being absent.
• Access to Health Services: Women’s access to pre-natal/post-natal care, household’s access to preventative care and medical treatment, and reasons for not being able to access the services.
• TASAF: Households access to the TASAF money, use of the money received, challenges encountered in accessing the funds.
• Recontact: Data on how the household can be recontacted in the future.
• Interview Results: Result of interview including observation notes by enumerator regarding the interview, respondent and language of interview

Round 3 The questionnaire gathers information on demographics; employment (respondent and other household members); non-farm enterprise; credit; women savings; and shocks and coping. The contents of questionnaire are outlined below:

• Cover: Household identifiers and enumerator identifiers.
• Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to.
• Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left.
• Employment (respondent): Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, and reason for not able to perform activities as usual.
• Employment (other members): Status in employment (current and 2020), consistency of work in 2020, why currently not working, job search, change in jobs, actual job.
• Non-farm Enterprise: Status and information of non-farm income-generating activities, reason for stopped operating, reason for not able to perform activities as usual, and reason for reduced revenue from family business.
• Credit: Household’s debts status since the beginning of the coronavirus crisis; use of loan, ability to repay loan when their scheduled payment is due.
• Women Savings: Women having bank accounts to financial institutions and changes in their savings since the start of the pandemic.
• Shocks and Coping: Shocks that affected household since the baseline interview and their coping strategies.
• Recontact: Data on how the household can be recontacted in the future.
• Interview Results: Result of interview including observation notes by enumerator regarding the interview, respondent and language of interview.

Round 4 The questionnaire gathers information on demographics; employment; non-farm enterprise; digital technology; and income changes. The contents of questionnaire are outlined below:

• Cover: Household identifiers and enumerator identifiers.
• Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to.
• Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left.
• Employment (respondent): Status and information of

Small & Medium Business Survey: Confidence in the Economy: Current: Slowdown data was reported at 64.000 % Point in Feb 2020. This records an increase from the previous number of 39.000 % Point for Nov 2019. Small & Medium Business Survey: Confidence in the Economy: Current: Slowdown data is updated quarterly, averaging 39.000 % Point from Aug 2019 (Median) to Feb 2020, with 3 observations. The data reached an all-time high of 64.000 % Point in Feb 2020 and a record low of 34.000 % Point in Aug 2019. Small & Medium Business Survey: Confidence in the Economy: Current: Slowdown data remains active status in CEIC and is reported by Sensis. The data is categorized under Global Database’s Australia – Table AU.S033: Sensis Business Index: Small and Medium Business Outlook & Confidence Survey: New.

Inflation in the table below is defined as the percent change in the CPI from the same month last year. The first column of numbers shows the latest value available from the national authorities and the next two columns show the levels of annual inflation three months and one year prior to the latest release. The data are updated daily. Over long stretches of time - typically years - inflation is a byproduct of the expansion of money supply. In the short run the inflation rate fluctuates with economic growth as recessions slow down the increase in prices and rapid output growth accelerates it. Shits in exchange rates, commodity prices, and natural phenomena like droughts also have an impact. Over time, however, these factors have only a transitory effect and the only variable that matters is money supply growth. The control of inflation is delegated to central banks that typically try to balance between relatively low inflation and low unemployment. For more, you can read our articles about optimal inflation and the causes of inflation in the short run and the long run.