When converted to the value of one US dollar in 2020, goods and services that cost one dollar in 1700 would cost just over 63 dollars in 2020, this means that one dollar in 1700 was worth approximately 63 times more than it is today. This data can be used to calculate how much goods and services from the years shown would cost today, by multiplying the price from then by the number shown in the graph. For example, an item that cost 50 dollars in 1970 would theoretically cost 335.5 US dollars in 2020 (50 x 6.71 = 335.5), although it is important to remember that the prices of individual goods and services inflate at different rates than currency, therefore this graph must only be used as a guide.

China Calculator & Money Specialized Equip Mfg: Loss Amount: Year to Date data was reported at 200.000 RMB mn in Dec 2019. This records a decrease from the previous number of 340.000 RMB mn for Dec 2018. China Calculator & Money Specialized Equip Mfg: Loss Amount: Year to Date data is updated monthly, averaging 43.896 RMB mn from Mar 2003 (Median) to Dec 2019, with 70 observations. The data reached an all-time high of 732.110 RMB mn in Dec 2015 and a record low of 10.410 RMB mn in Mar 2003. China Calculator & Money Specialized Equip Mfg: Loss Amount: Year to Date data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.RFF: Electronic Mfg Industry: Computer: Monthly: Calculator & Money Specialized Equipment.

China Calculator & Money Specialized Equip Mfg: Ind Sales Value: Year to Date data was reported at 48,965.530 RMB mn in Dec 2015. This records a decrease from the previous number of 51,561.970 RMB mn for Dec 2014. China Calculator & Money Specialized Equip Mfg: Ind Sales Value: Year to Date data is updated monthly, averaging 7,521.200 RMB mn from Jan 2003 (Median) to Dec 2015, with 90 observations. The data reached an all-time high of 51,561.970 RMB mn in Dec 2014 and a record low of 1,477.390 RMB mn in Feb 2005. China Calculator & Money Specialized Equip Mfg: Ind Sales Value: Year to Date data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.RFF: Electronic Mfg Industry: Computer: Monthly: Calculator & Money Specialized Equipment.

The euro-to-dollar exchange rate fluctuated significantly in 2022, reaching its lowest recorded value since 2008 during that time. Figures were different later in the year, however, with a rate of 1.17 USD recorded at the end of June 27, 2025. The average (standardized) measure is based on the calculation of many observations throughout the period in question. It is therefore different from an annual measure at a point, which reflects concrete values as of end of the year. Establishment The euro, which was established in 1992, introduced in non-physical form in 1999 and finally rolled out in 2002, is used by 19 of the 27 member states of the European Union. This group of 19 countries is otherwise known as the eurozone or euro area. By 2018, the total value of euro currency in circulation was almost 1.2 trillion euros, or over 3.4 thousand euros per capita. Euro to USD Between 2001 and 2008, the average annual exchange rate of the euro to the U.S. dollar noted a steep increase. In 2008, the euro to U.S. dollar annual average exchange rate was equal to 1.47, which meant that one euro could buy 1.47 U.S. dollars. By 2019, this value had decreased overall, to a value of 1.12 which meant that one euro could buy 1.12 U.S. dollars. Similar dynamics in the euro to U.S. dollar exchange rate were also reflected in the monthly exchange rate recently.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-06-27 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

The inflation rate in the United States is expected to decrease to 2.1 percent by 2029. 2022 saw a year of exceptionally high inflation, reaching eight percent for the year. The data represents U.S. city averages. The base period was 1982-84. In economics, the inflation rate is a measurement of inflation, the rate of increase of a price index (in this case: consumer price index). It is the percentage rate of change in prices level over time. The rate of decrease in the purchasing power of money is approximately equal. According to the forecast, prices will increase by 2.9 percent in 2024. The annual inflation rate for previous years can be found here and the consumer price index for all urban consumers here. The monthly inflation rate for the United States can also be accessed here. Inflation in the U.S.Inflation is a term used to describe a general rise in the price of goods and services in an economy over a given period of time. Inflation in the United States is calculated using the consumer price index (CPI). The consumer price index is a measure of change in the price level of a preselected market basket of consumer goods and services purchased by households. This forecast of U.S. inflation was prepared by the International Monetary Fund. They project that inflation will stay higher than average throughout 2023, followed by a decrease to around roughly two percent annual rise in the general level of prices until 2028. Considering the annual inflation rate in the United States in 2021, a two percent inflation rate is a very moderate projection. The 2022 spike in inflation in the United States and worldwide is due to a variety of factors that have put constraints on various aspects of the economy. These factors include COVID-19 pandemic spending and supply-chain constraints, disruptions due to the war in Ukraine, and pandemic related changes in the labor force. Although the moderate inflation of prices between two and three percent is considered normal in a modern economy, countries’ central banks try to prevent severe inflation and deflation to keep the growth of prices to a minimum. Severe inflation is considered dangerous to a country’s economy because it can rapidly diminish the population’s purchasing power and thus damage the GDP .

Indicator: 8.1.1The annual growth rate of real GDP per capita.The equation used to calculate the results is:The annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as follows:a. Convert annual real GDP in domestic currency at 2010 prices for a country or area to US dollars at 2010 prices using the 2010 exchange rates.b. Divide the result by the population of the country or area to obtain annual real GDP per capita in constant US dollars at 2010 prices.c. Calculate the annual growth rate of real GDP per capita in year t+1 using the following formula: [(G(t+1) – G(t))/G(t)] x 100, where G(t+1) is real GDP per capita in 2010 US dollars in year t+1 and G(t) is real GDP per capita in 2010 US dollars in year t.Note : GDP Constant (2010 = 100)*Data Source:Planning & Statistics Authority, National Accounts Bulletin

In the Annual Budget Document, the Budget Office presents information about the annual cost of various city services/fees for the typical ratepayer. These services and fees include Austin Energy, Austin Water, Austin Resource Recovery, the Clean Community Fee, the Transportation User Fee, the Drainage Utility Fee, and the Property Tax Bill. For this measure, the total yearly impact for the typical ratepayer is calculated by adding the yearly rates for major service or fees: Total Yearly Impact = Austin Energy Yearly Rate + Austin Water Yearly Rate + Austin Resource Recovery Yearly Rate + Clean Community Fee Yearly Rate + Transportation User Fee Yearly Rate + Drainage Utility Fee Yearly Rate + Property Tax Bill Yearly Rate. After finding the total yearly impact, the dollar amount and percentage increase of major rates and fees can be calculated: Dollar Amount Increase = Proposed Rate for Current Fiscal Year - Actual Rate for Previous Fiscal Year; Percent Increase = Dollar Amount Increase / Actual Rate for Previous Fiscal Year

CN: Calculator & Money Specialized Equip Mfg: Value Added Tax: ytd data was reported at 945.700 RMB mn in Dec 2015. This records an increase from the previous number of 902.270 RMB mn for Dec 2014. CN: Calculator & Money Specialized Equip Mfg: Value Added Tax: ytd data is updated monthly, averaging 40.980 RMB mn from Jan 2003 (Median) to Dec 2015, with 72 observations. The data reached an all-time high of 945.700 RMB mn in Dec 2015 and a record low of -22.783 RMB mn in Feb 2007. CN: Calculator & Money Specialized Equip Mfg: Value Added Tax: ytd data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.RFF: Electronic Mfg Industry: Computer: Monthly: Calculator & Money Specialized Equipment.

In 2024, the consumer price index (CPI) was 315.61. Data represents U.S. city averages. The monthly inflation rate for the United States can be found here. United States urban Consumer Price Index (CPI) The U.S. Consumer Price Index is a measure of change in the price of consumer goods and services purchased by households. The CPI is defined by the United States Bureau of Labor Statistics as "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." To calculate the CPI, the Bureau of Labor Statistics considers the price of goods and services from various categories: housing, transportation, apparel, food & beverage, medical care, recreation, education and other/uncategorized. The CPI is a useful measure, as it indicates how the cost of urban living in the United States has changed over time, compared to a base period. CPI is also used to calculate inflation, or change in the purchasing power of money. According to the U.S. Bureau of Labor Statistics, the U.S. urban CPI has been rising steadily since 1992. As of 2023, the CPI was 304.7, up from 233 ten years earlier and up from 184 twenty years earlier. This indicates the extent to which, compared to a base period 1982-1984 = 100, the price of various goods and services has risen.

China Calculator & Money Specialized Equip Mfg: New Product Output Value: data was reported at 2,465.228 RMB mn in Dec 2009. This records an increase from the previous number of 2,187.128 RMB mn for Nov 2009. China Calculator & Money Specialized Equip Mfg: New Product Output Value: data is updated monthly, averaging 276.057 RMB mn from Jan 2003 (Median) to Dec 2009, with 69 observations. The data reached an all-time high of 2,698.570 RMB mn in Dec 2008 and a record low of 0.000 RMB mn in Feb 2006. China Calculator & Money Specialized Equip Mfg: New Product Output Value: data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.RFF: Electronic Mfg Industry: Computer: Monthly: Calculator & Money Specialized Equipment.

Indicator 8.1.1The annual growth rate of real GDP per capita.The equation used to calculate the results is:The annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as follows:a. Convert annual real GDP in domestic currency at 2010 prices for a country or area to US dollars at 2010 prices using the 2010 exchange rates.b. Divide the result by the population of the country or area to obtain annual real GDP per capita in constant US dollars at 2010 prices.c. Calculate the annual growth rate of real GDP per capita in year t+1 using the following formula: [(G(t+1) – G(t))/G(t)] x 100, where G(t+1) is real GDP per capita in 2010 US dollars in year t+1 and G(t) is real GDP per capita in 2010 US dollars in year.Note :GDP Constant (2010 = 100)*Data Source:National Planning Council, National Accounts Bulletin

When adjusted for inflation, the 2024 federal minimum wage in the United States is over 40 percent lower than the minimum wage in 1970. Although the real dollar minimum wage in 1970 was only 1.60 U.S. dollars, when expressed in nominal 2024 dollars this increases to 13.05 U.S. dollars. This is a significant difference from the federal minimum wage in 2024 of 7.25 U.S. dollars.

When converted to the value of one Australian dollar in 2020, goods and services that cost one dollar in 1966 would cost 13.60 dollars in 2019; meaning that one Australian dollar in 1966 was almost 14 times more than it is today. This data can be used to calculate how much goods and services from the years shown would cost today, by multiplying the price from then by the number shown in the graph. For example, an item that cost 50 Australian dollars in 1990 would theoretically cost 101.50 Australian dollars in 2020 (50 x 2.03 = 101.5).

China Calculator & Money Specialized Equip Mfg: Delivery Value for Export: data was reported at 21,579.190 RMB mn in Dec 2015. This records a decrease from the previous number of 29,091.460 RMB mn for Dec 2014. China Calculator & Money Specialized Equip Mfg: Delivery Value for Export: data is updated monthly, averaging 4,702.760 RMB mn from Jan 2003 (Median) to Dec 2015, with 81 observations. The data reached an all-time high of 29,091.460 RMB mn in Dec 2014 and a record low of 1,179.880 RMB mn in Feb 2004. China Calculator & Money Specialized Equip Mfg: Delivery Value for Export: data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.RFF: Electronic Mfg Industry: Computer: Monthly: Calculator & Money Specialized Equipment.

Monetary aggregates measure the amount of money circulating in an economy. National series are loaded as national currency stock series. Mostly, these are end-of-month. A few countries compile data more frequently e.g. weekly which enables them to calculate “average for the month” data. Series are also presented in index form, calculated by OECD. Monetary aggregates are always expressed in current price (“nominal” terms) because the amount of money required by an economy reflects current levels of economic activity and price. Here they are presented both as stock series in national currency and as indices in the OECD standard base year. There are many monetary aggregates. Statistically, they are items in the balance sheet of the banking system. They may be taken from either side (since credit series, which are banking assets, are sometimes labeled monetary aggregates) but are normally taken from the liabilities side. In the balance sheet the liabilities items are ordered, starting with very narrow definitions of money (such as notes and coin) and gradually widening through various types of bank accounts (e.g. sight deposits, term deposits) to very board items which include sophisticated products like financial derivatives. In other words, narrow money measures cover highly liquid forms of money (money as a means of exchange) while broad money includes the less liquid forms (money as a store of value). There were no internationally recognised standards for compiling monetary aggregates until the IMF published its Monetary and Financial Statistics Manual in 2000 (Monetary and Financial Statistics Manua). Cross-country comparability suffered as a result. Now, notably, the European Central Bank’s framework for constructing Euro area monetary aggregates is consistent with IMF principles and non-euro EU countries are also required to report data to ECB according to the framework as are EU candidate countries as part of their application process. A useful IMF link for national methodologies is IMF methodologies. Here is used a general definition of narrow money – M1 is: currency i.e. banknotes and coins, plus overnight deposits. M2 is: the sum of M1, deposits with an agreed maturity of up to two years and deposits redeemable at notice of up to three months. And broad money – M3 is: the sum of M2, repurchase agreements, money market fund shares/units and debt securities up to two years.

The narrow and broad money indices are calculated by OECD from the national stock series. Country indices are calculated by first estimating period averages where the country only supplies end-of-period stock data. The figure for the end of the previous period is taken as the opening stock for the current period. The arithmetic average of the two is the estimate for the period average. These, or true monthly averages where available, are divided by the annual average of the monthly data in the base period to obtain the index.

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Tax Levy by town in Connecticut from FY 2019 through 2025. NET REAL PROPERTY LEVY means the tax dollars due on real property on the grand list. To calculate this amount, the final net grand list for real property is multiplied by the mill rate(s). NET PERSONAL PROPERTY LEVY means the tax dollars due on personal property on the grand list. To calculate this amount, the final net grand list for personal property is to multiplied by the mill rate(s). NET MOTOR VEHICLE LEVY means the tax dollars due on motor vehicles on the grand list. To calculate this amount, the final net grand list for motor vehicles is to multiplied by the mill rate(s). NET SUPPLEMENTAL MOTOR VEHICLE LEVY means the tax dollars due on motor vehicles on the previous grand list. To calculate this amount, the final net grand list for motor vehicles is to be multiplied by the previous fiscal year mill rate(s).

U.S. GNP for 2023 was 26.945 trillion US dollars, a 4.38% increase from 2022.

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

<li>U.S. GNP for 2022 was <strong>25.815 trillion US dollars</strong>, a <strong>8.74% increase</strong> from 2021.</li>
<li>U.S. GNP for 2021 was <strong>23.741 trillion US dollars</strong>, a <strong>10.81% increase</strong> from 2020.</li>
<li>U.S. GNP for 2020 was <strong>21.425 trillion US dollars</strong>, a <strong>1.46% decline</strong> from 2019.</li>
</ul>GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.

Analysis of ‘Tax Levy by Town, FY 2019-2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9ea49341-9427-4f1e-9c49-1177c20b4bf0 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Tax Levy by town in Connecticut from FY 2019 through 2022.

NET REAL PROPERTY LEVY means the tax dollars due on real property on the grand list. To calculate this amount, the final net grand list for real property is multiplied by the mill rate(s).

NET PERSONAL PROPERTY LEVY means the tax dollars due on personal property on the grand list. To calculate this amount, the final net grand list for personal property is to multiplied by the mill rate(s).

NET MOTOR VEHICLE LEVY means the tax dollars due on motor vehicles on the grand list. To calculate this amount, the final net grand list for motor vehicles is to multiplied by the mill rate(s).

NET SUPPLEMENTAL MOTOR VEHICLE LEVY means the tax dollars due on motor vehicles on the previous grand list. To calculate this amount, the final net grand list for motor vehicles is to be multiplied by the previous fiscal year mill rate(s).

--- Original source retains full ownership of the source dataset ---

In February 2025, based on preliminary figures, consumer prices in Germany increased by 2.3 percent compared to the same month of the previous year. The inflation rate is calculated using the price increase of a product basket defined by the German Federal Statistical Office. This product basket contains services and products, on which the average consumer spends money throughout the year. This includes expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (i.e. gas, oil), as well as federal fees and taxes.The term inflation means the devaluation of money caused by the increase of the price level of products (consumer goods, investment goods). The Consumer Price Index shows the price trends for private consumption expenses and shows the current inflation level when increasing.