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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.
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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.
As of May 2025, food prices had increased by 4.5 percent in Hungary over the same month in the previous year. During the observed period, food inflation rates peaked in December 2022 at nearly 48 percent, while the lowest inflation rate for food products was recorded in July 2016 at negative 0.9 percent. Accelerating inflation rates Besides food prices increasing throughout 2023, the overall inflation also accelerated in the country. By 2023, inflation rates were over 17 percent, which was the highest annual figure documented in the past decade. In comparison, the lowest inflation rate was recorded in 2014 at negative 1.2 percent. Food inflation in CEE As soaring inflation rates became a common phenomenon over the past years, Hungary wasn’t the only Central and Eastern European country experiencing a dramatic food price increase in recent years. In Czechia, food inflation peaked in November 2022 at 26 percent, while it reached over 35 percent in Lithuania at the same time.
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United States US: Broad Money: Average Annual Growth Rate data was reported at 3.760 % in 2016. This records an increase from the previous number of 3.408 % for 2015. United States US: Broad Money: Average Annual Growth Rate data is updated yearly, averaging 8.143 % from Dec 1961 (Median) to 2016, with 56 observations. The data reached an all-time high of 13.955 % in 1971 and a record low of -2.741 % in 2010. United States US: Broad Money: Average Annual Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Money Supply. Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.; ; International Monetary Fund, International Financial Statistics and data files.; ;
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Longer Run FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Median (GDPC1MDLR) from 2015-06-17 to 2025-06-18 about projection, median, real, GDP, rate, and USA.
In the fourth quarter of 2024, the Bulgaria, Spain, and Portugal registered the highest house price increase in real terms (adjusted for inflation). In Bulgaria, house prices outgrew inflation by nearly ** percent. When comparing the nominal price change, which does not take inflation into consideration, the average house price growth was even higher.
Meanwhile, many countries experienced declining prices, with Turkey recording the biggest decline, at ** percent. That has to do with a broader trend of a slowing global housing market.
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Key information about House Prices Growth
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Key information about House Prices Growth
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House Price Index YoY in the United States decreased to 2.80 percent in May from 3.20 percent in April of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.
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Key information about House Prices Growth
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Context
The dataset tabulates the Alaska population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Alaska across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2024, the population of Alaska was 740,133, a 0.49% increase year-by-year from 2023. Previously, in 2023, Alaska population was 736,510, an increase of 0.28% compared to a population of 734,442 in 2022. Over the last 20 plus years, between 2000 and 2024, population of Alaska increased by 112,385. In this period, the peak population was 742,575 in the year 2016. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Alaska Population by Year. You can refer the same here
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Oman Vital Statistics: Natural Increase Rate: per 1000 Inhabitans data was reported at 17.900 Per 1000 Person in 2017. This records a decrease from the previous number of 18.200 Per 1000 Person for 2016. Oman Vital Statistics: Natural Increase Rate: per 1000 Inhabitans data is updated yearly, averaging 18.700 Per 1000 Person from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 20.700 Per 1000 Person in 2010 and a record low of 17.900 Per 1000 Person in 2017. Oman Vital Statistics: Natural Increase Rate: per 1000 Inhabitans data remains active status in CEIC and is reported by National Center for Statistics and Information. The data is categorized under Global Database’s Oman – Table OM.G006: Vital Statistics.
https://lida.dataverse.lt/api/datasets/:persistentId/versions/5.3/customlicense?persistentId=hdl:21.12137/GN0KNPhttps://lida.dataverse.lt/api/datasets/:persistentId/versions/5.3/customlicense?persistentId=hdl:21.12137/GN0KNP
This dataset contains data on natural increase rate of population (per 1000 population) in Lithuania in 1919-1939. Data in the cells (year by administrative region) were computed by multiplying the number of natural increase of population by 1000 and dividing by number of the mid-year population. For sources of the data see metadata field Origin of Sources below. Dataset "Rate of Natural Increase of Population (per 1000 Population) in Lithuania 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
The year on year growth rate for apparel and footwear, as of May 2022, showed significant recovery from the sever losses in 2020 as a result of the coronavirus (COVID-19) pandemic. Overall, apparel retail grew **** percent, with women's retail showing the greatest increase.
This dataset is comprised of data submitted to HCAI by prescription drug manufacturers for wholesale acquisition cost (WAC) increases that exceed the statutorily-mandated WAC increase threshold of an increase of more than 16% above the WAC of the drug product on December 31 of the calendar year three years prior to the current calendar year. This threshold applies to prescription drug products with a WAC greater than $40 for a course of therapy. Required WAC increase reports are to be submitted to HCAI within a month after the end of the quarter in which the WAC increase went into effect. Please see the statute and regulations for additional information regarding reporting thresholds and report due dates.
Key data elements in this dataset include the National Drug Code (NDC) maintained by the FDA, narrative descriptions of the reasons for the increase in WAC, and the five-year history of WAC increases for the NDC. A WAC Increase Report consists of 27 data elements that have been divided into two separate Excel data sets: Prescription Drug WAC Increase and Prescription Drug WAC Increase – 5 Year History. The datasets include manufacturer WAC Increase Reports received since January 1, 2019. The Prescription Drugs WAC Increase dataset consists of the information submitted by prescription drug manufacturers that pertains to the current WAC increase of a given report, including the amount of the current increase, the WAC after increase, and the effective date of the increase. The Prescription Drugs WAC Increase – 5 Year History dataset consists of the information submitted by prescription drug manufacturers for the data elements that comprise the 5-year history of WAC increases of a given report, including the amount of each increase and their effective dates.
There are 2 types of WAC Increase datasets below: Monthly and Annual. The Monthly datasets include the data in completed reports submitted by manufacturers for calendar year 2025, as of April 7, 2025. The Annual datasets include data in completed reports submitted by manufacturers for the specified year. The datasets may include reports that do not meet the specified minimum thresholds for reporting.
The Quick Guide explaining how to link the information in each data set to form complete reports is here: https://hcai.ca.gov/wp-content/uploads/2024/03/QuickGuide_LinkingTheDatasets.pdf
The program regulations are available here: https://hcai.ca.gov/wp-content/uploads/2024/03/CTRx-Regulations-Text.pdf
The data format and file specifications are available here: https://hcai.ca.gov/wp-content/uploads/2024/03/Format-and-File-Specifications-version-2.0-ada.pdf
DATA NOTES: Due to recent changes in Excel, it is not recommended that you save these files to .csv format. If you do, when importing back into Excel the leading zeros in the NDC number column will be dropped. If you need to save it into a different format other than .xlsx it must be .txt
DATA UPDATES: Annual datasets of reports from the preceding year are reviewed in the second half of the current year to identify if any revisions or additions have been made since the original release of the datasets. If revisions or additions have been found, an update of the datasets will be released. Datasets will be clearly marked with 'Updated' in their titles for convenient identification. Not all datasets may require an updated release. The review of previously released datasets will only be conducted once to determine if an updated release is necessary. Datasets with revisions or additions that may have been made after the one-time review can be requested. These requests should be sent via email to ctrx@hcai.ca.gov. Due to regulatory changes that went into effect April 1, 2024, reports submitted prior to April 1, 2024, will include the data field "Unit Sales Volume in US" and reports submitted on or after April 1, 2024, will instead include "Total Volume of Gross Sales in US Dollars".
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Expectations to increase prices for goods and services offered by business or organization over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2023.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Month-on-month growth rates along with standard errors for the all manufacturing Producer Price Index (PPI; gross sector output including duty), January 2018 to December 2018.
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The Gross Domestic Product (GDP) in Colombia expanded 0.80 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Colombia GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The dataset contains All India and Yearly Growth Rates of Foreign Direct Investment Companies
Note: 1. Empty value indicates denominator is negative, nil or negligible 2. For the reporting years 2017–18, 2015–16, and earlier, sales values are net of 'rebates and discounts' and 'excise duty and cess'. 3. For reporting year 2015-16 Dividend paid, Profit Retained, Gross Saving information was not available for 2013-14 in MCA data 4. For reporting year 2014-15 Dividend paid, Profit Retained information was not available for 2012-13 in MCA data 5. For the reporting years 2017–18 Profit Before Tax, Profit After Tax are calculated for continuing operations of companies 6. For reporting year 2012-13 adn 2013-14 Networth and all asset categories are adjusted for revaluation, etc 7. Data for the reporting year 2019–20 is not available in the source
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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.