Vietnam Natural Increase Rate: Urban data was reported at 8.000 ‰ in 2017. This records a decrease from the previous number of 9.300 ‰ for 2016. Vietnam Natural Increase Rate: Urban data is updated yearly, averaging 10.700 ‰ from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 12.400 ‰ in 2002 and a record low of 8.000 ‰ in 2017. Vietnam Natural Increase Rate: Urban data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G058: Vital Statistics.

The statistic shows the average salary increase rate in the Asia Pacific region from 2011 to 2018, with a projected increase for 2019. In 2018, the average salary increase rate was about *** percent, a rise of *** index points compared to 2017. For 2019, the salary increase was projected to amount about *** percent.

Graph and download economic data for 50) Over the Past Three Months, How Has the Volume of Mark and Collateral Disputes Relating to Contracts of Each of the Following Types Changed?| B. Interest Rate. | Answer Type: Increased Considerably (OTCDQ50BICNR) from Q4 2011 to Q2 2025 about contracts, volume, collateral, change, 3-month, interest rate, interest, rate, and USA.

Vital Statistics: Natural Increase Rate: Kuwaiti data was reported at 23.460 ‰ in 2017. This records a decrease from the previous number of 24.070 ‰ for 2016. Vital Statistics: Natural Increase Rate: Kuwaiti data is updated yearly, averaging 26.900 ‰ from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 29.400 ‰ in 2008 and a record low of 23.460 ‰ in 2017. Vital Statistics: Natural Increase Rate: Kuwaiti data remains active status in CEIC and is reported by Central Statistical Bureau. The data is categorized under Global Database’s Kuwait – Table KW.G004: Vital Statistics.

This dataset contains unemployment data at metropolitan area (MA) level, respectively the change over the year of unemployment rate. The data for the unemployment rate change over the year is starting from 2023 to 2024.

The enduring discourse regarding the effectiveness of interest rate policy in mitigating inflation within developing economies is characterized by the interplay of structural and supply-side determinants. Moreover, extant academic literature fails to resolve the direction of causality between inflation and interest rates. Nevertheless, the prevalent adoption of interest rate-based monetary policies in numerous developing economies raises a fundamental inquiry: What motivates central banks in these nations to consistently espouse this strategy? To address this inquiry, our study leverages wavelet transformation to dissect interest rate and inflation data across a spectrum of frequency scales. This innovative methodology paves the way for a meticulous exploration of the intricate causal interplay between these pivotal macroeconomic variables for twenty-two developing economies using monthly data from 1992 to 2022. Traditional literature on causality tends to focus on short- and long-run timescales, yet our study posits that numerous uncharted time and frequency scales exist between these extremes. These intermediate scales may wield substantial influence over the causal relationship and its direction. Our research thus extends the boundaries of existing causality literature and presents fresh insights into the complexities of monetary policy in developing economies. Traditional wisdom suggests that central banks should raise interest rates to combat inflation. However, our study uncovers a contrasting reality in developing economies. It demonstrates a positive causal link between the policy rate and inflation, where an increase in the central bank’s interest rates leads to an upsurge in price levels. Paradoxically, in response to escalating prices, the central bank continues to heighten the policy rate, thereby perpetuating this cyclical pattern. Given this observed positive causal relationship in developing economies, central banks must explore structural and supply-side factors to break this cycle and regain control over inflation.

Slovakia Vital Statistics: Crude Rate of Total Increase data was reported at 2.706 ‰ in Aug 2018. This records a decrease from the previous number of 2.863 ‰ for Jul 2018. Slovakia Vital Statistics: Crude Rate of Total Increase data is updated monthly, averaging 1.130 ‰ from Jan 2000 (Median) to Aug 2018, with 224 observations. The data reached an all-time high of 4.800 ‰ in Sep 2011 and a record low of -2.930 ‰ in Dec 2013. Slovakia Vital Statistics: Crude Rate of Total Increase data remains active status in CEIC and is reported by Statistical Office of the Slovak Republic. The data is categorized under Global Database’s Slovakia – Table SK.G004: Vital Statistics.

According to a survey taken in July 2025, roughly 27percent of surveyed Americans were planning to make purchases because they expected prices to increase as a result of the tariffs.

Latvia - HICP - monthly data (annual rate of change) was 3.60% in June of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Latvia - HICP - monthly data (annual rate of change) - last updated from the EUROSTAT on August of 2025. Historically, Latvia - HICP - monthly data (annual rate of change) reached a record high of 11.10% in February of 2023 and a record low of -5.20% in March of 2010.

Norway Business Survey: Epinion: Interest Rate Expectation: Household: Next 12 Months: Increase data was reported at 62.900 % in Sep 2018. This records an increase from the previous number of 56.600 % for Jun 2018. Norway Business Survey: Epinion: Interest Rate Expectation: Household: Next 12 Months: Increase data is updated quarterly, averaging 48.500 % from Mar 2002 (Median) to Sep 2018, with 67 observations. The data reached an all-time high of 86.900 % in Dec 2006 and a record low of 15.200 % in Mar 2016. Norway Business Survey: Epinion: Interest Rate Expectation: Household: Next 12 Months: Increase data remains active status in CEIC and is reported by Epinion. The data is categorized under Global Database’s Norway – Table NO.S009: Business Survey: Epinion: Interest Rate and Exchange Rate Expectation.

Yearly citation counts for the publication titled "Prey death rates and rate of increase of arthropod predator populations".

Discover increased pulmonary respiratory rate significant genes, associations, procedures and more. Data for phenotype increased pulmonary respiratory rate is all freely available for download.

The statistic shows the inflation rate in India from 1987 to 2024, with projections up until 2030. The inflation rate is calculated using the price increase of a defined product basket. This product basket contains products and services, on which the average consumer spends money throughout the year. They include expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (e.g. gas, oil), as well as federal fees and taxes. In 2024, the inflation rate in India was around 4.67 percent compared to the previous year. See figures on India's economic growth for additional information. India's inflation rate and economy Inflation is generally defined as the increase of prices of goods and services over a certain period of time, as opposed to deflation, which describes a decrease of these prices. Inflation is a significant economic indicator for a country. The inflation rate is the rate at which the general rise in the level of prices, goods and services in an economy occurs and how it affects the cost of living of those living in a particular country. It influences the interest rates paid on savings and mortgage rates but also has a bearing on levels of state pensions and benefits received. A 4 percent increase in the rate of inflation in 2011 for example would mean an individual would need to spend 4 percent more on the goods he was purchasing than he would have done in 2010. India’s inflation rate has been on the rise over the last decade. However, it has been decreasing slightly since 2010. India’s economy, however, has been doing quite well, with its GDP increasing steadily for years, and its national debt decreasing. The budget balance in relation to GDP is not looking too good, with the state deficit amounting to more than 9 percent of GDP.

This table includes all price index numbers calculated according to the Harmonised consumer price index (HICP) for the Netherlands, the Euro area and the European Union (EU). In all member states of the EU, these indices are compiled in a similar manner to facilitate comparison between the various EU countries.

The table also includes the harmonised consumer price index for the Euro area. This index figure reflects the average price increase/decrease in the countries which have adopted the euro as their currency. The table also includes the European consumer price index, i.e. the harmonised consumer price index for the member states of the European Union.

HICP figures are published every month. In addition, an annual figure is published at the end of the year. The HICP of a calendar year is calculated as the average of the indices of the twelve months of that year.

Data available from: January 1996.

Status of the figures: The HICP results for the Netherlands in this table are in most cases final immediately upon publication. At that time, the results for the euro area are still based on the flash estimate and are characterized as provisional. A month later, these figures become final.

The results of the HICP are only marked as provisional if it is already known at the time of publication that data are still incomplete, a revision is expected in a later month, or in special circumstances such as the corona crisis.

In most cases, all requested price information is known to Statistics Netherlands when the results are published and no adjustment is made later. However, sometimes certain price information is not available in time and the outcome can be adjusted later. HICP results can then always be revised together with the CPI results, even if they were not published as provisional in the previous month. CPI results are marked as provisional when the index figures are first published, the figures are final the following month.

Changes compared with previous version: Data on the most recent period have been added and/or adjustments have been implemented.

When will new figures be published? New figures will usually be published between the first and second Thursday of the month following on the reporting month.

All CPI and HICP publications are announced on the publication calendar.

In accordance with Rules and Regulations Section 1.12 (https://www.sf.gov/reports--rent-board-rules-and-regulations), the Rent Board sets the annual allowable rent increase for rent controlled units. The new rates are effective every year on March 1. The amount is based on 60% of the percentage increase in the Consumer Price Index (CPI) for All Urban Consumers in the San Francisco-Oakland-San Jose region for the 12-month period ending October 31, as posted in November by the Bureau of Labor Statistics.

Annual Rate of Population Increase by County, CensusYear, Statistic and Sex

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Graph and download economic data for Net Percentage of Large Domestic Banks Increasing Spreads of Loan Rates Over Banks' Cost of Funds to Large and Middle-Market Firms (SUBLPDCILTSLGNQ) from Q2 1990 to Q3 2025 about funds, cost, large, spread, percent, domestic, Net, loans, banks, depository institutions, rate, and USA.

The benchmark interest rate in Germany was last recorded at 4.50 percent. This dataset provides - Germany Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in Canada increased to 1.90 percent in June from 1.70 percent in May of 2025. This dataset provides - Canada Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Georgia GE: Unemployment Rate: % Change over Previous Period data was reported at -1.570 % in 2016. This records an increase from the previous number of -3.256 % for 2015. Georgia GE: Unemployment Rate: % Change over Previous Period data is updated yearly, averaging -1.570 % from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 62.908 % in 1998 and a record low of -18.070 % in 2000. Georgia GE: Unemployment Rate: % Change over Previous Period data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Georgia – Table GE.IMF.IFS: Labour Force, Employment and Unemployment: Annual.