As of September 2024, the Brazilian government predicts higher GDP growth and lower inflation than the Focus report. For 2024, the Ministry of Finance forecasts growth of *** percent, while the Focus report forecasts growth of three percent.

MOSF Forecast: Inflation data was reported at 1.600 % in 2019. This stayed constant from the previous number of 1.600 % for 2018. MOSF Forecast: Inflation data is updated yearly, averaging 1.600 % from Dec 2010 (Median) to 2019, with 10 observations. The data reached an all-time high of 4.000 % in 2011 and a record low of 0.700 % in 2015. MOSF Forecast: Inflation data remains active status in CEIC and is reported by Ministry of Strategy and Finance. The data is categorized under Global Database’s South Korea – Table KR.I035: Consumer Price Index: Forecast: Ministry of Strategy and Finance.

MOF Forecast: Inflation data was reported at 6.000 % in 2021. This stayed constant from the previous number of 6.000 % for 2020. MOF Forecast: Inflation data is updated yearly, averaging 7.000 % from Jun 2012 (Median) to 2021, with 10 observations. The data reached an all-time high of 9.500 % in 2013 and a record low of 6.000 % in 2021. MOF Forecast: Inflation data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Pakistan – Table PK.I005: Consumer Price Index: Forecast: Ministry of Finance.

Economic indicators data such as: inflation, nominal GDP, real GDP growth from 2018 to 2027

Thailand MOF Forecast: Core Inflation: YoY data was reported at 0.700 % in 2018. This records an increase from the previous number of 0.600 % for 2017. Thailand MOF Forecast: Core Inflation: YoY data is updated yearly, averaging 0.850 % from Dec 2013 (Median) to 2018, with 6 observations. The data reached an all-time high of 1.600 % in 2013 and a record low of 0.600 % in 2017. Thailand MOF Forecast: Core Inflation: YoY data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Thailand – Table TH.I002: Inflation: Forecast: Ministry of Finance.

MOF Forecast: Inflation Rate data was reported at 3.200 % in 2014. This records a decrease from the previous number of 3.600 % for 2013. MOF Forecast: Inflation Rate data is updated yearly, averaging 3.900 % from Dec 2007 (Median) to 2014, with 7 observations. The data reached an all-time high of 8.800 % in 2007 and a record low of 2.900 % in 2010. MOF Forecast: Inflation Rate data remains active status in CEIC and is reported by Ministry of Finance and Economic Development. The data is categorized under Global Database’s Mauritius – Table MU.I008: Inflation Rate: Forecast: Ministry of Finance.

ABSTRACT This paper reviews the political and theoretical developments that lead to the Real Plan. First, the importance of the discovery of inertial inflation is discussed. Secondly, the impact of the choice of Fernando Henrique Cardoso for the Ministry of the Economy. Then, the conditions for the implementation of the URV and the reasons for the superiority of the plan in comparison to the previous attempts of stabilization of Brazilian economy.

Graph and download economic data for Producer Price Index by Industry: Discount Department Stores: Discount Department Store Services (DISCONTINUED) (PCU4521124521121) from Dec 2000 to Dec 2017 about discount, retail, services, PPI, industry, inflation, price index, indexes, price, and USA.

Inflation Rate in Ethiopia decreased to 13.90 percent in June from 14.40 percent in May of 2025. This dataset provides the latest reported value for - Ethiopia Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Thailand MOF Forecast: Inflation: YoY data was reported at 1.200 % in 2018. This records an increase from the previous number of 0.700 % for 2017. Thailand MOF Forecast: Inflation: YoY data is updated yearly, averaging 0.450 % from Dec 2013 (Median) to 2018, with 6 observations. The data reached an all-time high of 1.900 % in 2013 and a record low of -0.900 % in 2015. Thailand MOF Forecast: Inflation: YoY data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Thailand – Table TH.I002: Inflation: Forecast: Ministry of Finance.

Colombia Consumer Price Index (CPI): Core Inflation: Excl Energy & Food data was reported at 138.920 Dec2018=100 in Mar 2025. This records an increase from the previous number of 138.250 Dec2018=100 for Feb 2025. Colombia Consumer Price Index (CPI): Core Inflation: Excl Energy & Food data is updated monthly, averaging 94.430 Dec2018=100 from Jan 2009 (Median) to Mar 2025, with 195 observations. The data reached an all-time high of 138.920 Dec2018=100 in Mar 2025 and a record low of 70.450 Dec2018=100 in Jan 2009. Colombia Consumer Price Index (CPI): Core Inflation: Excl Energy & Food data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.I028: Consumer Price Index: Core Inflation: Dec2018=100: National Statistics Administrative Department.

Colombia Consumer Price Index (CPI): Core Inflation: Excl Food (excl COICOP div 01) data was reported at 142.090 Dec2018=100 in Mar 2025. This records an increase from the previous number of 141.460 Dec2018=100 for Feb 2025. Colombia Consumer Price Index (CPI): Core Inflation: Excl Food (excl COICOP div 01) data is updated monthly, averaging 93.900 Dec2018=100 from Jan 2009 (Median) to Mar 2025, with 195 observations. The data reached an all-time high of 142.090 Dec2018=100 in Mar 2025 and a record low of 69.790 Dec2018=100 in Jan 2009. Colombia Consumer Price Index (CPI): Core Inflation: Excl Food (excl COICOP div 01) data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.I028: Consumer Price Index: Core Inflation: Dec2018=100: National Statistics Administrative Department.

Inflation Rate in Malaysia decreased to 1.10 percent in June from 1.20 percent in May of 2025. This dataset provides - Malaysia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The aim of this investigation is, to describe the development of the German Stock Market during the inter-war period. Causes for the so called change of the stock exchange functions are analysed. The author wants to make a contribution on special aspects of the economic history of the Weimar Republic and the following NS-regime. In his investigation the researcher analyses the activities of the involved players in a historical-institutional framework. The Study’s subjectIn the year 1890 the constitution of security exchange markets and stock markets has been the object of political debate and there has been discussed similar questions according to this topic in public and in policy as today. A current question is about the possibilities to boost the functionality of the security exchange and stock markets, not least in the face of Germany’s position in the global economy. In 1896 as a result of massive political conflicts a stock exchange act has arisen that disappointed the representatives of liberal trading interests because of the restriction of the stock market system’s autonomy and the prohibition of certain forms of trade. In 1908 an amendment to the stock exchange act has been adopted by the parliament. The stock market act in this new form has had validity until today. After the years of the hyperinflation deep changes of the stock market processes has been taken place. This changes can be described as a change of function. The economic-historical study at hand deals with the description of the development of the German security exchange markets during the interwar period. Reasons of the functional changes, which means mainly the decrease in importance, are analysed. In this context the primary investigator’s analysis contributes also to specific aspects of the economic history of the Weimar Republic and the Nazi empire. Due to a lack of date the needed statistical information concerning the period of interest is not available and therefore a statistical analysis cannot meet cliometric requirements. Therefore, the study’s concept is primary a desciptive one. On the basis of the quantitative information an identification of the functional change and the definition of stages of this process is made. The researcher tries to carve out the factors which have led to the functional change particularly during the period between 1924 and 1939. In this context the annual reports of banks, reports of the Chamber of Commerce and Industry, contributions of professional journals, and documents of authorities charged with the stock exchange market, are the empirical basis for the investigation. The researcher analyzed the effects of the banking sector’s concentration-process on the stock exchange market and assessed quantitatively the functional change. On the basis of the collected time series for the period of the late 19th century until 1939 the investigator analyzed the activities at the stock markets. First, the focus on interest is on the development of investments and securities issues. Then information on the securities turnover of German capital market before 1940 are given on the basis of an estimation procedure, developed by the researcher. The sepcial conditions during the inflation between 1914 and 1923 are discussed separately and the long term effects of this hyper-inflation on the stock exchange are identified. The effects of the taxation of stock exchange market visits and the high transaction costs are discussed, too. Used sources for the investigation have been:Archives of German Public Authorities:- finance ministry of the German Reich,- imperial chancellery- Reich´s ministry of economics- reference files of the German Reichsbank- Imperial commissioner of the stock market in Berlin Official Statistics, statistics of trade associations, chambers of commerce, enterprises, the press, and scientific publications. Finally, the author made estimates and calculations. The Study’s data:Data tables are accessible via the search- and download-system HISTAT unter the Topic ‘State: Finances and Taxes’ (= Staat: Finanzen und Steuern). The Study’s data are diveded into the following parts: A. Quantitative Indicators on the Change of Functions (Quantitative Indikatoren des Funktionswandels) A.1 Structure of floatation (Struktur der Wertpapieremission ausgewählter Zeitspannen (1901-1939).)A.2 Tax revenues of exchange turnover (Börsenumsatzsteueraufkommen (1885-1939).)A.3 Vergleich des unkorrigierten mit einem fiktiv möglichen Börsenumsatzsteueraufkommen (1906-1913).A.4 Estimation of everage tax rates (Geschätzte Durchschnittssteuersätze (1884-1913).)A.5 Amount of stock companies of the German Empire (Zahl der Aktiengesellschaften im Deutschen Reich zu bestimmten Jahren (1886-1939).)A.6 Shares listed on the Berlin stock exchange at the end of the year (Die zum Jahresende an der Berliner Börse notierten Aktien (1926-1939).)A.7 Reports und Lombards der Berliner Großbanken in ...

Russia Domestic Government Bonds: Inflation Linked: 52002RMFS: Days to Maturity data was reported at 2,751.000 NA in 22 Jul 2020. This records a decrease from the previous number of 2,786.000 NA for 17 Jun 2020. Russia Domestic Government Bonds: Inflation Linked: 52002RMFS: Days to Maturity data is updated weekly, averaging 3,136.000 NA from Apr 2018 (Median) to 22 Jul 2020, with 24 observations. The data reached an all-time high of 3,591.000 NA in 04 Apr 2018 and a record low of 2,751.000 NA in 22 Jul 2020. Russia Domestic Government Bonds: Inflation Linked: 52002RMFS: Days to Maturity data remains active status in CEIC and is reported by Ministry of Finance of the Russian Federation. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FH009: OFZ Auctions' Results. [COVID-19-IMPACT]

Total general (local, regional and central) government expenditure on post-secondary non-tertiary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/

Colombia Consumer Price Index (CPI): Core Inflation: Energy data was reported at 177.750 Dec2018=100 in Mar 2025. This records an increase from the previous number of 177.590 Dec2018=100 for Feb 2025. Colombia Consumer Price Index (CPI): Core Inflation: Energy data is updated monthly, averaging 89.080 Dec2018=100 from Jan 2009 (Median) to Mar 2025, with 195 observations. The data reached an all-time high of 177.750 Dec2018=100 in Mar 2025 and a record low of 63.200 Dec2018=100 in Jan 2009. Colombia Consumer Price Index (CPI): Core Inflation: Energy data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.I028: Consumer Price Index: Core Inflation: Dec2018=100: National Statistics Administrative Department.

Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level, in millions PPP$ (at purchasing power parity) in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/

United States PCE Inflation Nowcast: sa: Contribution: Retail Sales: Johnson Redbook Index: Department Stores data was reported at 1.220 % in 12 May 2025. This stayed constant from the previous number of 1.220 % for 05 May 2025. United States PCE Inflation Nowcast: sa: Contribution: Retail Sales: Johnson Redbook Index: Department Stores data is updated weekly, averaging 0.000 % from Apr 2019 (Median) to 12 May 2025, with 320 observations. The data reached an all-time high of 7.610 % in 19 Sep 2022 and a record low of 0.000 % in 28 Apr 2025. United States PCE Inflation Nowcast: sa: Contribution: Retail Sales: Johnson Redbook Index: Department Stores data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Personal Consumption Expenditure (PCE) Inflation: Headline.

In the first quarter of 2025, the Producer Price Index (PPI) of agricultural products in China ranged at 98.4 index points (same quarter of previous year = 100). After a considerable price decrease between the first quarter of 2020 and the third quarter of 2021, inflation picked up in the second and third quarter of 2022, mainly driven by rising pork prices, but also supported by a price increase of farm crops. Agricultural prices decreased again in 2023 and stabilized in 2024. The Producer Prices Index The Producer Price Index (PPI) measures the average change in selling prices received by domestic producers for their output. In combination with the Consumer Price Index (CPI), the PPI is used as an indicator to identify economic inflation or deflation. In contrast to CPI, which measures price levels of end consumers, the PPI measures the output price change from the perspective of sellers. In this sense, the Producer Price Index of agricultural products reflects changes in selling price received by farmers. Agricultural producer prices in China According to the graph at hand, producer prices for agricultural products picked up considerably in the second quarter of 2019. Inflation peaked in the first quarter of 2020 and fell back to a normal level in the fourth quarter of 2020. This development was mainly caused by an increase of Chinese producer prices for livestock, which were driven by the outbreak of the swine fever in 2019. The PPI for fishery in China fluctuated only slightely at around 100 index points during the same period, while producer prices for forestry products in China even saw a partially negative price development. During the third quarter of 2022, however, prices for livestock products grew considerably, while prices for farm crops in China indicated a moderate price increase.