87 datasets found
  1. Impact of COVID-19 on projected inflation in Ethiopia 2020-2021

    • statista.com
    Updated Oct 1, 2021
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    Statista (2021). Impact of COVID-19 on projected inflation in Ethiopia 2020-2021 [Dataset]. https://www.statista.com/statistics/1169872/impact-of-covid-19-on-projected-inflation-in-ethiopia/
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    Dataset updated
    Oct 1, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    Ethiopia
    Description

    As of June 2020, the projected inflation rate in Ethiopia was revised, considering the effects of the COVID-19 pandemic. Before the outbreak, the inflation was projected at 12.1 percent in 2020 and 9.1 percent in 2021. Under the assumption of a worst-case scenario, where the pandemic continues to the end of 2020, the outlook was reviewed to 15.5 percent and nine percent as of 2020 and 2021, respectively.

  2. Impact of COVID-19 on projected inflation in Morocco 2020-2021

    • statista.com
    Updated May 2, 2024
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    Statista (2024). Impact of COVID-19 on projected inflation in Morocco 2020-2021 [Dataset]. https://www.statista.com/statistics/1190953/impact-of-covid-19-on-projected-inflation-in-morocco/
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    Dataset updated
    May 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    Morocco
    Description

    Prior to the coronavirus (COVID-19) pandemic, the inflation rate in Morocco in 2020 and 2021 was expected at 1 and 1.2 percent, respectively. On the contrary, under a baseline scenario, inflation was projected at 0.4 percent in 2020 and 1.1 percent in 2021. Moreover, under a worst case scenario, where the pandemic continued to the end of 2020, inflation rate was estimated at 0.4 and 1.3 percent for 2020 and 2021 respectively.

  3. Replication dataset and calculations for PIIE WP 24-23 Labor market...

    • piie.com
    Updated Dec 17, 2024
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    Justin Bloesch (2024). Replication dataset and calculations for PIIE WP 24-23 Labor market tightness and inflation before and after the COVID-19 pandemic by Justin Bloesch (2024). [Dataset]. https://www.piie.com/publications/working-papers/2024/labor-market-tightness-and-inflation-and-after-covid-19-pandemic
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    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Justin Bloesch
    Description

    This data package includes the underlying data to replicate the charts, tables, and calculations presented in Labor market tightness and inflation before and after the COVID-19 pandemic, PIIE Working Paper 24-23.

    If you use the data, please cite as:

    Bloesch, Justin. 2024. Labor market tightness and inflation before and after the COVID-19 pandemic. PIIE Working Paper 24-23. Washington: Peterson Institute for International Economics.

  4. Impact of COVID-19 on projected inflation in Egypt 2020-2021

    • statista.com
    Updated Sep 22, 2020
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    Impact of COVID-19 on projected inflation in Egypt 2020-2021 [Dataset]. https://www.statista.com/statistics/1169790/impact-of-covid-19-on-projected-inflation-in-egypt/
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    Dataset updated
    Sep 22, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    Egypt
    Description

    Before the coronavirus (COVID-19) pandemic, the inflation rate in 2020 and 2021 was projected to be 7.2 and 6.1 percent respectively in Egypt. However, with the baseline assumption that coronavirus subsided in July 2020, it was estimated that the inflation would be slightly higher for 2020 at 7.4 percent and with 8.6 percent in 2021. When considering the pandemic to persist to December 2020, it is projected that the inflation rate for 2020 would be eight percent, while 2021 would be 8.5 percent.

  5. Impact of COVID-10 on macroeconomic indices in Poland 2019-2021

    • statista.com
    Updated Feb 29, 2024
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    Statista (2024). Impact of COVID-10 on macroeconomic indices in Poland 2019-2021 [Dataset]. https://www.statista.com/statistics/1107160/poland-impact-of-covid-10-on-gdp-and-inflation/
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    Dataset updated
    Feb 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    According to one of the scenarios, it is assumed that the outbreak of the coronavirus (COVID-19) will cause a deeper recession in Poland. It is estimated that by the end of 2020, GDP will fall to -4 percent, the inflation rate will reach 2.1 percent and unemployment 13 percent. The inflation rate will be significantly affected by global oil prices.

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

  6. Impact of inflation on recommerce usage in the U.S. 2022

    • flwrdeptvarieties.store
    • statista.com
    Updated Dec 18, 2023
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    Koen van Gelder (2023). Impact of inflation on recommerce usage in the U.S. 2022 [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F6321%2Fcoronavirus-covid-19-impact-on-e-commerce-in-the-us%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Dec 18, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Koen van Gelder
    Area covered
    United States
    Description

    In a survey conducted in the United States in May 2022, the vast majority of respondents (93 percent) said that inflation affected their decision to buy and sell pre-owned goods. The main reason driving recommerce demand was the concern to save money and hunt for bargains.

  7. d

    Replication Data for: Synchronization without similarity. The effects of...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 13, 2023
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    Beck, Krzysztof (2023). Replication Data for: Synchronization without similarity. The effects of COVID-19 pandemic on GDP growth and inflation in the Eurozone [Dataset]. http://doi.org/10.7910/DVN/IPYR1M
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    Dataset updated
    Nov 13, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Beck, Krzysztof
    Description

    Replication Data for: Synchronization without similarity. The effects of COVID-19 pandemic on GDP growth and inflation in the Eurozone

  8. E-commerce segments experiencing more inflation in the U.S. 2020-2021

    • flwrdeptvarieties.store
    • statista.com
    Updated Dec 18, 2023
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    Koen van Gelder (2023). E-commerce segments experiencing more inflation in the U.S. 2020-2021 [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F6321%2Fcoronavirus-covid-19-impact-on-e-commerce-in-the-us%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Dec 18, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Koen van Gelder
    Area covered
    United States
    Description

    Apparel was the e-commerce category with the highest online price increase in the United States from July 2020 to July 2021. In that period, clothing and other fashion items experienced an average price increase of more than 15 percent. Nonprescription drugs ranked second among 18 categories analyzed, with almost six percent of online price growth.

  9. Impact of inflation on preferred e-commerce payment method in the U.S. 2022

    • flwrdeptvarieties.store
    • statista.com
    Updated Dec 18, 2023
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    Statista Research Department (2023). Impact of inflation on preferred e-commerce payment method in the U.S. 2022 [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F6321%2Fcoronavirus-covid-19-impact-on-e-commerce-in-the-us%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Dec 18, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    Cost of living in 2022 changed payment behavior for online shopping in the United States, with five out of 10 respondents now using debit cards more often. This according to a survey held in 10 different countries across North America, Europe, and Latin America, and purely asked on whether cost of living had changed payment behavior in those countries. Credit cards, BNPL, and crypto were all used more often, but neither saw the largest growth: 51 percent of respondents who changed their payment habits because of the rising cost of living in 2022 are paying online with debit cards more often than they did in the previous year.

  10. Global PMI for manufacturing and new export orders 2018-2024

    • statista.com
    Updated Feb 4, 2025
    + more versions
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    Einar H. Dyvik (2025). Global PMI for manufacturing and new export orders 2018-2024 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Einar H. Dyvik
    Description

    In September 2024, the global PMI amounted to 47.5 for new export orders and 48.8 for manufacturing. The manufacturing PMI was at its lowest point in August 2020. It decreased over the last months of 2022 after the effects of the Russia-Ukraine war and rising inflation hit the world economy, and remained around 50 since.

  11. Impact of COVID-19 on projected inflation in Tunisia 2020-2021

    • statista.com
    Updated Oct 1, 2021
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    Impact of COVID-19 on projected inflation in Tunisia 2020-2021 [Dataset]. https://www.statista.com/statistics/1169859/impact-of-covid-19-on-projected-inflation-in-tunisia/
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    Dataset updated
    Oct 1, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    Tunisia
    Description

    With the coronavirus (COVID-19) pandemic, the majority of the countries worldwide are expected to have negative effects on their economy. The same is predicted for the Tunisian economy. The projection for the inflation rate in 2020 was revised to eight percent, under a worst-case scenario, where the outbreak persists till the end of the year. Before the occurrence of the coronavirus, the outlook was at 6.7 percent. For 2021, the projected inflation rate was reviewed to seven percent, also considering the worst-case scenario. Previously, a 6.1 percent inflation rate was projected.

  12. w

    COVID-19 High Frequency Survey 2020-2022 - Georgia

    • microdata.worldbank.org
    Updated Feb 8, 2023
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    COVID-19 High Frequency Survey 2020-2022 - Georgia [Dataset]. https://microdata.worldbank.org/index.php/catalog/3837
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    Dataset updated
    Feb 8, 2023
    Dataset authored and provided by
    Caucasus Research Resource Centers (CRRC)
    Time period covered
    2020 - 2022
    Area covered
    Georgia
    Description

    Abstract

    Having reliable, timely data on poverty and inequality is critical to assess the distributional impact of and recovery from COVID-19 and high inflation on households and to make near-real time evidence-based strategic decisions. Partnering with the Swedish International Development Cooperation Agency (Sida) and Caucasus Research Resource Centers (CRRC), the South Caucasus team in the Poverty and Equity Global Practice at the World Bank conducted a series of Georgia High Frequency Survey to monitor the impact of these events on households in Georgia. This eighth round of the survey is augmented by including questions on the impact of high inflation, disruption in employment and schooling, concerns over environmental risks, and access to health services during the COVID-19 pandemic.

    Geographic coverage

    National coverage, representative at the national, rural/urban/Tbilisi-levels.

    Analysis unit

    Household, Individual (adult over age 18)

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The survey is based on phone-interviews with application of Computer Assisted Telephone Interviews (CATI) and random digit dialing (RDD). The sampling frame is representative of the national and rural/urban/Tbilisi population. Around 2000 valid interviews were concluded in each round with response rates around 40%.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Research instrument

    The COVID-19 Georgia High Frequency Survey (GHFS) 2020-22 Wave 1 comprises following modules: 1- Household Identification, 2- Household Demographics, 3- Assets and Access to Internet, 4- Prevalence ofCOVID-19, 5- Distance Learning, 6- Employment Dynamics, 7- Income, 8- Food Security, 9- Shocks and Coping Strategies, 10- Vaccine, 11- Perception.

    In waves 2, 3, and 4, module on remittances was added. In wave 4, module on shocks and coping strategies was dropped, but question on job disruption was added. In waves 5 and 6, modules on inflation impact and time use were added. Questions on income and remittances were dropped. In wave 7, questions on income and remittances were brought back. In wave 8, questions on the perception of environmental risks, perception of the country's development, and health services accessibility during the COVID-19 pandemic were added.

    Cleaning operations

    Data cleaning was carried out to identify and, where possible, correct inconsistencies. In addition, open-ended questions with textual responses were recoded so that these answers matched numeric codes. With CATI, the cleaning process was straightforward: pre-programmed questionnaire forms helped to eliminate ambiguous codes from being entered in the dataset. Also, the form did not accept errors related to selecting more values than permitted in the questionnaire. Additional protocols for data cleaning are summarized in the CRRC Fieldwork Report.

    Response rate

    Response rates were around 40%.

  13. Post coronavirus GDP growth forecast in Norway 2020-2026

    • flwrdeptvarieties.store
    • statista.com
    Updated Jul 11, 2024
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    Einar H. Dyvik (2024). Post coronavirus GDP growth forecast in Norway 2020-2026 [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F8998%2Feconomic-impact-of-the-coronavirus-covid-19-in-the-nordics%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Einar H. Dyvik
    Area covered
    Norway
    Description

    After decreasing by three percent in 2020, the gross domestic product (GDP) of Norway increased by four percent in 2021. It continued to grow in 2022, before the increasing inflation slowed the growth.

  14. Impact of COVID-19 and inflation on Halloween in the U.S. 2022

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). Impact of COVID-19 and inflation on Halloween in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/1341291/covid-19-and-inflation-impact-on-halloween-usa/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 27, 2022 - Oct 3, 2022
    Area covered
    United States
    Description

    For 2022's Halloween season, over 40 percent of consumers in the United States expected the rising cost of living to moderately or significantly affect their Halloween celebration plans. Compared to the previous two years, U.S. consumers were less worried about the impact COVID-19 might have on their plans this year.

  15. g

    Evolution of the price of new homes in France from 2020 to 2023 (covid...

    • gimi9.com
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    Evolution of the price of new homes in France from 2020 to 2023 (covid effect, shortage and then inflation) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_653694f3175edb7e16b0bf81
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    Area covered
    France
    Description

    The rises in the price of new housing since 2020 are delusional and have never been seen in recent history.

  16. R

    Russia Inflation Expectation: Next 1-2 Months: Increase Significantly

    • ceicdata.com
    Updated Jul 16, 2021
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    CEICdata.com (2021). Russia Inflation Expectation: Next 1-2 Months: Increase Significantly [Dataset]. https://www.ceicdata.com/en/russia/inflation-expectations-and-perception-russian-public-opinion-research-center-vciom/inflation-expectation-next-12-months-increase-significantly
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    Dataset updated
    Jul 16, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Russia
    Variables measured
    Consumer Survey
    Description

    Russia Inflation Expectation: Next 1-2 Months: Increase Significantly data was reported at 29.826 % in Feb 2025. This records a decrease from the previous number of 37.031 % for Jan 2025. Russia Inflation Expectation: Next 1-2 Months: Increase Significantly data is updated monthly, averaging 34.332 % from Jun 2012 (Median) to Feb 2025, with 96 observations. The data reached an all-time high of 60.742 % in Feb 2022 and a record low of 20.000 % in Feb 2018. Russia Inflation Expectation: Next 1-2 Months: Increase Significantly data remains active status in CEIC and is reported by Russian Public Opinion Research Center. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HE007: Inflation Expectations and Perception: Russian Public Opinion Research Center (VCIOM). [COVID-19-IMPACT]

  17. Replication dataset and calculations for PIIE WP 24-7 Lessons from China's...

    • piie.com
    Updated Mar 19, 2024
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    Tianlei Huang (2024). Replication dataset and calculations for PIIE WP 24-7 Lessons from China's fiscal policy during the COVID-19 pandemic by Tianlei Huang (2024). [Dataset]. https://www.piie.com/publications/working-papers/2024/lessons-chinas-fiscal-policy-during-covid-19-pandemic
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    Dataset updated
    Mar 19, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Tianlei Huang
    Area covered
    China
    Description

    This data package includes the underlying data to replicate the charts presented in Lessons from China's fiscal policy during the COVID-19 pandemic, PIIE Working Paper 24-7.

    If you use the data, please cite as: Huang, Tianlei. 2024. Lessons from China's fiscal policy during the COVID-19 pandemic. PIIE Working Paper 24-7. Washington: Peterson Institute for International Economics.

  18. Inflation rate forecast for Romania considering the impact of COVID-19...

    • statista.com
    Updated Mar 1, 2020
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    Inflation rate forecast for Romania considering the impact of COVID-19 2019-2021 [Dataset]. https://www.statista.com/statistics/1106097/covid-19-impact-inflation-rate-romania/
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    Dataset updated
    Mar 1, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Romania
    Description

    Given the impact of the coronavirus (COVID-19) outbreak on the Romanian economy, it is expected that inflation will also be affected. Inflation is expected to increase from 3.3 percent to 3.5 percent in 2021.

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

  19. f

    S6 File -

    • plos.figshare.com
    txt
    Updated Sep 28, 2023
    + more versions
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    Patrick Bernard Washington; Pradeep Gali; Furqan Rustam; Imran Ashraf (2023). S6 File - [Dataset]. http://doi.org/10.1371/journal.pone.0286541.s006
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    txtAvailable download formats
    Dataset updated
    Sep 28, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Patrick Bernard Washington; Pradeep Gali; Furqan Rustam; Imran Ashraf
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    COVID-19 affected the world’s economy severely and increased the inflation rate in both developed and developing countries. COVID-19 also affected the financial markets and crypto markets significantly, however, some crypto markets flourished and touched their peak during the pandemic era. This study performs an analysis of the impact of COVID-19 on public opinion and sentiments regarding the financial markets and crypto markets. It conducts sentiment analysis on tweets related to financial markets and crypto markets posted during COVID-19 peak days. Using sentiment analysis, it investigates the people’s sentiments regarding investment in these markets during COVID-19. In addition, damage analysis in terms of market value is also carried out along with the worse time for financial and crypto markets. For analysis, the data is extracted from Twitter using the SNSscraper library. This study proposes a hybrid model called CNN-LSTM (convolutional neural network-long short-term memory model) for sentiment classification. CNN-LSTM outperforms with 0.89, and 0.92 F1 Scores for crypto and financial markets, respectively. Moreover, topic extraction from the tweets is also performed along with the sentiments related to each topic.

  20. Impact of COVID-19 on projected inflation in South Africa 2020-2021

    • statista.com
    Updated Apr 26, 2023
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    Statista (2023). Impact of COVID-19 on projected inflation in South Africa 2020-2021 [Dataset]. https://www.statista.com/statistics/1169847/impact-of-covid-19-on-projected-inflation-in-south-africa/
    Explore at:
    Dataset updated
    Apr 26, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    South Africa
    Description

    As of June 2020, the projected inflation rate in South Africa for the same year was revised to 5.2 percent, after the fallout of the coronavirus outbreak. The projection was done under the assumption of a worst-case scenario, where the pandemic persists to the end of 2020. Before the occurrence of COVID-19, the inflation rate was expected at 4.7 percent.

    On the other hand, the inflation rate for 2021 was reviewed to 4.6 percent, in a worst-case scenario, whereas the previous outlook (before the pandemic) was at five percent.

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Statista (2021). Impact of COVID-19 on projected inflation in Ethiopia 2020-2021 [Dataset]. https://www.statista.com/statistics/1169872/impact-of-covid-19-on-projected-inflation-in-ethiopia/
Organization logo

Impact of COVID-19 on projected inflation in Ethiopia 2020-2021

Explore at:
Dataset updated
Oct 1, 2021
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jun 2020
Area covered
Ethiopia
Description

As of June 2020, the projected inflation rate in Ethiopia was revised, considering the effects of the COVID-19 pandemic. Before the outbreak, the inflation was projected at 12.1 percent in 2020 and 9.1 percent in 2021. Under the assumption of a worst-case scenario, where the pandemic continues to the end of 2020, the outlook was reviewed to 15.5 percent and nine percent as of 2020 and 2021, respectively.

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