100+ datasets found
  1. U

    United States USD Trade Weighted Index: Nominal: Other Important Trading...

    • ceicdata.com
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    CEICdata.com, United States USD Trade Weighted Index: Nominal: Other Important Trading Partner [Dataset]. https://www.ceicdata.com/en/united-states/us-dollar-trade-weighted-index/usd-trade-weighted-index-nominal-other-important-trading-partner
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    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    United States
    Variables measured
    Foreign Exchange Rate
    Description

    United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data was reported at 168.237 Jan1997=100 in Nov 2018. This records an increase from the previous number of 166.528 Jan1997=100 for Oct 2018. United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data is updated monthly, averaging 96.825 Jan1997=100 from Jan 1973 (Median) to Nov 2018, with 551 observations. The data reached an all-time high of 168.237 Jan1997=100 in Nov 2018 and a record low of 1.998 Jan1997=100 in Jul 1973. United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

  2. d

    WLCI - Important Agricultural Lands Assessment (Normalized Importance Index)...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). WLCI - Important Agricultural Lands Assessment (Normalized Importance Index) [Dataset]. https://catalog.data.gov/dataset/wlci-important-agricultural-lands-assessment-normalized-importance-index
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This synthesized results data set is a normalized unit-less layer represent the varying levels of importance of land parcels associated with agriculture in the WLCI region. This raster represents a normalized sum for 9 spatial data sets: irrigated acreage in wet years, irrigated acreage in dry years, land classification for pasture/rangeland/ production, important grazing and calving areas, buffered locations of water 'guzzlers,' an elk depredation claims index, a mule deer depredation claims index, an antelope depredation claims index, an index based on the age of agricultural buildings associated with land parcels. These data represent an initial step towards spatially identifying lands that represent greater importance in the agricultural context and can be used by interested parties to conduct further geospatial analysis. The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management questions. The IA analysis was conducted using a Geographic Information System in a raster (that is, a grid) environment using a cell size of 30 meters. To facilitate the data in a regional context, mean values were summarized and displayed at the subwatershed unit (WLCI subwatersheds were subset from the National Hydrography Dataset, Hydrologic Unit Code 12/Level 6). A dynamic mapping platform, accessed via the WLCI webpage at http://www.wlci.gov is used to display the mapped information, and to access underlying resource values that were combined to produce the final mapped results.

  3. F

    Trade Weighted U.S. Dollar Index: Other Important Trading Partners, Goods...

    • fred.stlouisfed.org
    json
    Updated Jan 6, 2020
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    (2020). Trade Weighted U.S. Dollar Index: Other Important Trading Partners, Goods (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/TWEXO
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    jsonAvailable download formats
    Dataset updated
    Jan 6, 2020
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Trade Weighted U.S. Dollar Index: Other Important Trading Partners, Goods (DISCONTINUED) (TWEXO) from 1995-01-04 to 2020-01-01 about trade-weighted, trade, exchange rate, currency, goods, rate, indexes, and USA.

  4. Indonesia Indonesia Stock Exchange: Index: IDX Main Board Index

    • ceicdata.com
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    CEICdata.com, Indonesia Indonesia Stock Exchange: Index: IDX Main Board Index [Dataset]. https://www.ceicdata.com/en/indonesia/indonesia-stock-exchange-monthly/indonesia-stock-exchange-index-idx-main-board-index
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Sep 1, 2023 - Aug 1, 2024
    Area covered
    Indonesia
    Description

    Indonesia Stock Exchange: Index: IDX Main Board Index data was reported at 2,047.935 NA in Sep 2024. This records a decrease from the previous number of 2,094.560 NA for Aug 2024. Indonesia Stock Exchange: Index: IDX Main Board Index data is updated monthly, averaging 1,648.290 NA from Jun 2013 (Median) to Sep 2024, with 136 observations. The data reached an all-time high of 2,094.560 NA in Aug 2024 and a record low of 1,191.370 NA in Aug 2013. Indonesia Stock Exchange: Index: IDX Main Board Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Indonesia – Table ID.EDI.SE: Indonesia Stock Exchange: Monthly.

  5. Made-In Country Index: country ranking 2017

    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). Made-In Country Index: country ranking 2017 [Dataset]. https://www.statista.com/statistics/677973/made-in-country-index-country-ranking/
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2017
    Area covered
    Worldwide
    Description

    Quality of products is always an important factor when it comes to consumption and spending, and many consumers define a certain product’s quality standard by applying specific characteristics - one of those being its origin. Nowadays, Germany is synonymous with high-quality cars, for example, while Switzerland would be known for high-quality clocks or chocolate, and Italy for fine wine.

    Quality measured

    In order to make these preferences among consumers visible, the global Made-In-Country Index was conducted - to show how positively products "made in..." are perceived in various countries all over the world. The index is calculated based on each country's average weighted share of positive perception. First rank is set as Index 100.

    Quality perceived

    The “Made in” label was introduced in Great Britain in the 19th century to make distinguishing foreign products easier, since foreign manufacturers had taken to labelling their goods with false marks. Most of the products thusly labelled “made in” came from Germany, which is why the “Made in Germany” label gained publicity and became very well-known. While it was not necessarily a label of quality at the time, this perception has been reversed completely: “Made in Germany” is now one of the highest seals a product could receive.

  6. Value of MSCI World USD index 1986-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 25, 2025
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    Statista (2025). Value of MSCI World USD index 1986-2024 [Dataset]. https://www.statista.com/statistics/276225/annual-trend-of-the-msci-world-index-since-1969/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to ******** points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about ** percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to ********. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

  7. Globalization Index - top 50 countries 2023

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Globalization Index - top 50 countries 2023 [Dataset]. https://www.statista.com/statistics/268168/globalization-index-by-country/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In the 2023 edition of the globalization index, Switzerland had the highest index score at 90.75. Belgium followed behind, with the Netherlands in third. Overall, globalization declined in 2020 due to the COVID-19 outbreak, but increased somewhat in 2021, even though it was still below pre-pandemic levels.

    About the index

    The KOF Index of Globalization aims to measure the rate of globalization in countries around the world. Data used to construct the 2023 edition of the index was from 2021. The index is based on three dimensions, or core sets of indicators: economic, social, and political. Via these three dimensions, the overall index of globalization tries to assess current economic flows, economic restrictions, data on information flows, data on personal contact, and data on cultural proximity within surveyed countries.

    Defining globalization

    Globalization is defined for this index as the process of creating networks of connections among actors at multi-continental distances, mediated through a variety of flows including people, information and ideas, capital and goods. It is a process that erodes national boundaries, integrates national economies, cultures, technologies and governance and produces complex relations of mutual interdependence.

  8. United States USD Trade Weighted Index: Real: Major Currencies

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States USD Trade Weighted Index: Real: Major Currencies [Dataset]. https://www.ceicdata.com/en/united-states/us-dollar-trade-weighted-index/usd-trade-weighted-index-real-major-currencies
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Foreign Exchange Rate
    Description

    United States USD Trade Weighted Index: Real: Major Currencies data was reported at 104.556 Mar1973=100 in Oct 2018. This records an increase from the previous number of 103.639 Mar1973=100 for Sep 2018. United States USD Trade Weighted Index: Real: Major Currencies data is updated monthly, averaging 91.800 Mar1973=100 from Jan 1973 (Median) to Oct 2018, with 550 observations. The data reached an all-time high of 131.551 Mar1973=100 in Mar 1985 and a record low of 77.674 Mar1973=100 in Jul 2011. United States USD Trade Weighted Index: Real: Major Currencies data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.M016: US Dollar Trade Weighted Index.

  9. F

    Nominal Major Currencies U.S. Dollar Index (Goods Only) (DISCONTINUED)

    • fred.stlouisfed.org
    json
    Updated Jan 6, 2020
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    (2020). Nominal Major Currencies U.S. Dollar Index (Goods Only) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/TWEXMMTH
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    jsonAvailable download formats
    Dataset updated
    Jan 6, 2020
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Nominal Major Currencies U.S. Dollar Index (Goods Only) (DISCONTINUED) (TWEXMMTH) from Jan 1973 to Dec 2019 about major, trade-weighted, exchange rate, currency, goods, rate, indexes, and USA.

  10. Wholesale services price index, relative importance

    • www150.statcan.gc.ca
    • beta.data.urbandatacentre.ca
    • +3more
    Updated Dec 17, 2024
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    Government of Canada, Statistics Canada (2024). Wholesale services price index, relative importance [Dataset]. http://doi.org/10.25318/1810017901-eng
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    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Wholesale services price index (WSPI), relative importance by North American Industry Classification System (NAICS).

  11. f

    Web Index - Scores for relevant content by country 2014

    • figure.nz
    csv
    Updated Dec 31, 2014
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    Figure.NZ (2014). Web Index - Scores for relevant content by country 2014 [Dataset]. https://figure.nz/table/M7drSvIz8iqrdoZz
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    csvAvailable download formats
    Dataset updated
    Dec 31, 2014
    Dataset provided by
    Figure.NZ
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Designed and produced by the World Wide Web Foundation, the Web Index is the world’s first measure of the World Wide Web’s contribution to social, economic and political progress in countries across the world. http://thewebindex.org/about/ Scores are given in the areas of universal access; freedom and openness; relevant content; and empowerment. First released in 2012, the 2014-15 Index has been expanded and refined to include a total of 86 countries and features an enhanced data set, particularly in the areas of gender, Open Data, privacy rights and censorship. The Index combines existing secondary data with new primary data derived from an evidence-based expert assessment survey. The Web Index provides an objective and robust evidence base to inform public dialogue on the steps needed for societies to leverage greater value from the Web. It is published annually and resources permitting, it will continue to be expanded to cover more countries in the coming years. It will eventually allow for comparisons of trends over time and the benchmarking of performance across countries, continuously improving our understanding of the Web’s value for humanity.

  12. Health ranking of countries worldwide in 2023, by health index score

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Health ranking of countries worldwide in 2023, by health index score [Dataset]. https://www.statista.com/statistics/1290168/health-index-of-countries-worldwide-by-health-index-score/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, Singapore ranked first with a health index score of ****, followed by Japan and South Korea. The health index measures the extent to which people are healthy and have access to the necessary services to maintain good health, including health outcomes, health systems, illness and risk factors, and mortality rates. The statistic shows the health and health systems ranking of countries worldwide in 2023, by their health index score.

  13. F

    Export Price Index (Harmonized System): Essential Oils and Resinoids;...

    • fred.stlouisfed.org
    json
    Updated Jun 17, 2025
    + more versions
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    (2025). Export Price Index (Harmonized System): Essential Oils and Resinoids; Perfumery, Cosmetic or Toilet Preparations [Dataset]. https://fred.stlouisfed.org/graph/?g=lgtB
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    jsonAvailable download formats
    Dataset updated
    Jun 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Export Price Index (Harmonized System): Essential Oils and Resinoids; Perfumery, Cosmetic or Toilet Preparations from Dec 1992 to May 2025 about hygiene, harmonized, oil, exports, price index, indexes, price, and USA.

  14. United States Export Price Index: CH: Essential Oils, Polishing & Cleansing

    • ceicdata.com
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    CEICdata.com, United States Export Price Index: CH: Essential Oils, Polishing & Cleansing [Dataset]. https://www.ceicdata.com/en/united-states/import-and-export-price-index-1995100-by-sitc/export-price-index-ch-essential-oils-polishing--cleansing
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jan 1, 2001 - Dec 1, 2001
    Area covered
    United States
    Variables measured
    Trade Prices
    Description

    United States Export Price Index: Essential Oils, Polishing & Cleansing data was reported at 102.000 1990=100 in Dec 2001. This records a decrease from the previous number of 102.100 1990=100 for Nov 2001. United States Export Price Index: Essential Oils, Polishing & Cleansing data is updated monthly, averaging 101.400 1990=100 from Sep 1992 (Median) to Dec 2001, with 112 observations. The data reached an all-time high of 103.700 1990=100 in Sep 1997 and a record low of 92.300 1990=100 in Nov 1992. United States Export Price Index: Essential Oils, Polishing & Cleansing data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I035: Import and Export Price Index: 1995=100: By SITC.

  15. e

    Consumer price index

    • data.europa.eu
    excel xls, excel xlsx +1
    Updated Feb 9, 2018
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    North Gate II & III - INS (STATBEL - Statistics Belgium) (2018). Consumer price index [Dataset]. https://data.europa.eu/data/datasets/78b06e72e3614d1019d54adf9ff84d7f4b23c35f?locale=en
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    excel xlsx, excel xls, pdfAvailable download formats
    Dataset updated
    Feb 9, 2018
    Dataset authored and provided by
    North Gate II & III - INS (STATBEL - Statistics Belgium)
    Description

    Purpose and brief description The consumer price index is an economic indicator whose main task is to objectively reflect the price evolution over time for a basket of goods and services purchased by households and considered representative of their consumer habits. The index does not necessarily measure the price level of this basket for a specific period of time, but rather the fluctuation between two periods, the first one acting as basis for comparison. Moreover, this difference in the price level is not measured in absolute, but in relative terms. The consumer price index can be determined as a hundred times the ratio between the observed prices of a range of goods and services at a given time and the prices of the same goods and services, observed under the same circumstances during the reference period, chosen as basis for comparison. Price observations always take place in the same regions. Since 2014, the consumer price index has been a chain index in which the weighting reference period is regularly shifted and prices and quantities are no longer compared between the current period and a fixed reference period, but the current period is compared with an intermediate period. By multiplying these short-term indices, and so creating a chain, we get a long-term series with a fixed reference period. Population Belgian private households Data collection method and possible sampling Survey technique applied using a computer, based on the use of electronic questionnaires and laptops. Frequency Monthly. Timing of publication The results are available on the penultimate working day of the reference period. Definitions Weight (CPI): The weight represents the importance of the goods and services included in the CPI in the total expenditure patterns of the households. Weights are determined based on the household budget survey. Consumer price index (CPI): The consumer price index is an economic indicator whose main task is to objectively reflect the price evolution over time for a basket of goods and services purchased by households and considered representative of their consumer habits. Health index: The health index is derived from the consumer price index and has been published since January 1994. The current value of this index is determined by removing a number of products from the consumer price index product basket, in particular alcoholic beverages (bought in a shop or consumed in a bar), tobacco products and motor fuels except for LPG. Inflation: Inflation is defined as the ratio between the value of the consumer price index of a given month and the index of the same month the year before. Therefore, inflation measures the rhythm of the evolution of the overall price level. Consumer price index without petroleum products: This index is calculated by removing the following products from the consumer price index: butane, propane, liquid fuels and motor fuels. Consumer price index without energy products: This index is calculated by removing the following products from the consumer price index: electricity, natural gas, butane, propane, liquid fuels, solid fuels and motor fuels. Smoothed index: The smoothed health index, also called smoothed index (the average value of the health indexes of the last 4 months) is used as a basis for the indexation of retirement pensions, social security benefits and some salaries and wages. Public wages and social benefits are indexed as soon as the smoothed index reaches a given value, called the central index. The smoothed index is also called moving average. In order to perform a 2% index jump (laid down in the Law of 23 April 2015 on employment promotion), the smoothed health index has been temporarily blocked at its value of March 2015 (100.66). The smoothed health index was then reduced by 2% from April 2015. When the reduced smoothed health index (also called the reference index) had increased again by 2% or in other words when it had exceeded the value of 100.66, the index was no longer blocked. It occurred in April 2016. Since April 2016 the smoothed health index is calculated in the same manner as the reference index and therefore corresponds to the arithmetical mean of the health indexes of the last 4 months multiplied by a factor of 0.98. The central index is a predetermined threshold value against which the smoothed health index is compared. If the central index is reached or exceeded, there is an indexation of the wages and salaries or benefits. This indexation is proportional to the percentage between the old and the new central index. For the public sector and social benefits, the difference between the central indices always amounts to 2 %. Therefore, a 2 % indexation is applied every time the central index is reached. There are also collective labour agreements according to which the difference between the central indices amounts to 1 % or 1.5 %. The reaching of a central index then leads to an indexation of 1 % or 1,5 %. See also: https://bosa.belgium.

  16. f

    Summary statistics.

    • plos.figshare.com
    xls
    Updated Mar 15, 2024
    + more versions
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    Masood Ahmed; Muhammad Atif Khan; Anam Attique; Muhammad Asif Khan; Hossam Haddad; Nidal Mahmoud Al-Ramahi (2024). Summary statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0297915.t001
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    xlsAvailable download formats
    Dataset updated
    Mar 15, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Masood Ahmed; Muhammad Atif Khan; Anam Attique; Muhammad Asif Khan; Hossam Haddad; Nidal Mahmoud Al-Ramahi
    License

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

    Description

    This study investigates the relationship between democracy and innovation across 61 developing countries from 2013 to 2020, utilizing data from Global Innovation Index. Employing the Freedom House Index and Polity2 indicators as proxies for democracy, research employs Ordinary Least Squares (OLS), Fixed Effects and SystemGMM techniques to analyze their impact on innovation. The findings of the study reveal no statistically significant relationships between democracy and innovation in developing nations within specified timeframe. Through empirical analysis, including various econometric approaches, it is observed that the level of democracy as measured by these indicators, does not appear to exert a discernable impact on the innovation landscape of these countries. These results carry important implications for public policy. While the promotion of democracy remains a crucial goal, especially for societal development and political stability, this study suggests that solely focusing on enhancing democratic institutions might not necessarily yield immediate direct improvements in the innovation capacities of developing nations. Policymakers and stakeholders involved in fostering innovation ecosystems in these regions may need to consider a more nuanced approach, encompassing factors beyond the scope of democratic governance to effectively spur innovation. Understanding the nuanced relationship between democracy and innovation in developing countries has significant implications for designing targeted policies aimed at enhancing innovation capacities, economic growth and overall societal development in these regions.

  17. o

    Index of Real Gross Domestic Product By Main Economic Activities (2018=100)

    • kapsarc.opendatasoft.com
    • datasource.kapsarc.org
    csv, excel, json
    Updated Mar 13, 2025
    + more versions
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    (2025). Index of Real Gross Domestic Product By Main Economic Activities (2018=100) [Dataset]. https://kapsarc.opendatasoft.com/explore/dataset/index-of-real-gross-domestic-product-by-main-economic-activities-2018-100/api/?flg=ar-001
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    json, csv, excelAvailable download formats
    Dataset updated
    Mar 13, 2025
    Description

    Explore the Index of Real Gross Domestic Product By Main Economic Activities (2018=100) for Saudi Arabia. Find information on Oil activities, non-oil activities, government activities, and more in this quarterly dataset.Follow data.kapsarc.org for timely data to advance energy economics research.Important notes:2022,2023,2024: Preliminary Data.The methodology of chain-linking represents a non-additive model, thus the subcomponents do not correspond to the aggregates.Data were revised from 1970 to 2009

  18. Index of Services, main components and sectors to four decimal places

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jun 12, 2025
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    Office for National Statistics (2025). Index of Services, main components and sectors to four decimal places [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/indexofservicesandmaincomponentsto4dp
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    xlsxAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Monthly historical movements in output for services and their industry components, by chained volume indices of gross value added, UK.

  19. United States USD Trade Weighted Index: Nominal: Major Currencies

    • ceicdata.com
    Updated Jan 15, 2019
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    CEICdata.com (2019). United States USD Trade Weighted Index: Nominal: Major Currencies [Dataset]. https://www.ceicdata.com/en/united-states/us-dollar-trade-weighted-index/usd-trade-weighted-index-nominal-major-currencies
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    Dataset updated
    Jan 15, 2019
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    United States
    Variables measured
    Foreign Exchange Rate
    Description

    United States USD Trade Weighted Index: Nominal: Major Currencies data was reported at 91.550 Mar1973=100 in Nov 2018. This records an increase from the previous number of 90.774 Mar1973=100 for Oct 2018. United States USD Trade Weighted Index: Nominal: Major Currencies data is updated monthly, averaging 92.981 Mar1973=100 from Jan 1973 (Median) to Nov 2018, with 551 observations. The data reached an all-time high of 143.906 Mar1973=100 in Mar 1985 and a record low of 69.061 Mar1973=100 in Aug 2011. United States USD Trade Weighted Index: Nominal: Major Currencies data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

  20. d

    Year-wise Consumer Price Index for Important Commodities (based on CPI Base...

    • dataful.in
    Updated Jun 13, 2025
    + more versions
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    Dataful (Factly) (2025). Year-wise Consumer Price Index for Important Commodities (based on CPI Base Year 2012) [Dataset]. https://dataful.in/datasets/20941
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    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Weight, Unit
    Description

    Data in table tells us about the year-wise Consumer Price Index - Important Commodities for All India from 2015-2017. Major groups specified in the table are: Clothing, bedding and footwear; Food, beverages and tobacco; Fuel and light; Housing; Miscellaneous and Total. All commodities under these groups have been mentioned and Data has also been specified separately for Rural, Urban and combined areas.

    Note: 1) Index for the year 2017 is the average of Indices from January 2017 to September(Prov.) 2017. 2) Rural Indices in respect of Housing are not compiled.

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Link copied
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CEICdata.com, United States USD Trade Weighted Index: Nominal: Other Important Trading Partner [Dataset]. https://www.ceicdata.com/en/united-states/us-dollar-trade-weighted-index/usd-trade-weighted-index-nominal-other-important-trading-partner

United States USD Trade Weighted Index: Nominal: Other Important Trading Partner

Explore at:
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
Jun 1, 2017 - May 1, 2018
Area covered
United States
Variables measured
Foreign Exchange Rate
Description

United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data was reported at 168.237 Jan1997=100 in Nov 2018. This records an increase from the previous number of 166.528 Jan1997=100 for Oct 2018. United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data is updated monthly, averaging 96.825 Jan1997=100 from Jan 1973 (Median) to Nov 2018, with 551 observations. The data reached an all-time high of 168.237 Jan1997=100 in Nov 2018 and a record low of 1.998 Jan1997=100 in Jul 1973. United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

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