100+ datasets found
  1. d

    Social Security Average Wage Indices.

    • datadiscoverystudio.org
    • datasets.ai
    • +2more
    html
    Updated Feb 27, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Social Security Average Wage Indices. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4990e9b0ded94901a5ca7c49b7fff93c/html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 27, 2018
    Description

    description: An explanation of the national average wage indexing series to index the earnings of individuals for benefit computation purposes.; abstract: An explanation of the national average wage indexing series to index the earnings of individuals for benefit computation purposes.

  2. f

    Data from: A method for calculating BMI z-scores and percentiles above the...

    • tandf.figshare.com
    pdf
    Updated Jun 5, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rong Wei; Cynthia L. Ogden; Van L. Parsons; David S. Freedman; Craig M. Hales (2023). A method for calculating BMI z-scores and percentiles above the 95th percentile of the CDC growth charts [Dataset]. http://doi.org/10.6084/m9.figshare.12932858.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Rong Wei; Cynthia L. Ogden; Van L. Parsons; David S. Freedman; Craig M. Hales
    License

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

    Description

    The 2000 CDC growth charts are based on national data collected between 1963 and 1994 and include a set of selected percentiles between the 3rd and 97th and LMS parameters that can be used to obtain other percentiles and associated z-scores. Obesity is defined as a sex- and age-specific body mass index (BMI) at or above the 95th percentile. Extrapolating beyond the 97th percentile is not recommended and leads to compressed z-score values. This study attempts to overcome this limitation by constructing a new method for calculating BMI distributions above the 95th percentile using an extended reference population. Data from youth at or above the 95th percentile of BMI-for-age in national surveys between 1963 and 2016 were modelled as half-normal distributions. Scale parameters for these distributions were estimated at each sex-specific 6-month age-interval, from 24 to 239 months, and then smoothed as a function of age using regression procedures. The modelled distributions above the 95th percentile can be used to calculate percentiles and non-compressed z-scores for extreme BMI values among youth. This method can be used, in conjunction with the current CDC BMI-for-age growth charts, to track extreme values of BMI among youth.

  3. e

    Health index

    • data.europa.eu
    excel xls
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    North Gate II & III - INS (STATBEL - Statistics Belgium), Health index [Dataset]. https://data.europa.eu/data/datasets/2d799e04338f86f4dd29b43f5a13f41ee9c2899e?locale=en
    Explore at:
    excel xlsAvailable download formats
    Dataset authored and provided by
    North Gate II & III - INS (STATBEL - Statistics Belgium)
    Description

    From 1994 onwards The consumer price index, which takes into account price trends of all goods and services, forms the basis of another index: the health index. This health index has been calculated since January 1994 (introduced by the Royal Decree of 24 December 1993). The 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. What is the purpose of the health index? The health index is used for the indexation of housing rents. The health index is defined in the Law of 23 April 2015 on employment promotion (Belgian Official Journal of 27 April 2015). 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. More information All health indices from 1994 onward can be found through our index-search. Simply enter the desired year and month to view the consumer price index and the health index on all available bases. Health index: list of excluded products (PDF, 83.29 Kb) More information on the index link to public services wages and pensions can be found on the website of the Wages Service of the FPS Finances:https://persopoint.be/fr/services/administration-des-salaires/principes-generaux-de-l-index. The table below shows the health index of the 13 most recent available months. be.STAT allows you to search from 1994 onward. Purpose and brief description The health index was introduced in January 1994 (by Royal Decree of 24 December 1993 implementing the law of 6 January 1989 on the safeguarding of the country's competitiveness) and is derived from the consumer price index. The value of the health index is obtained by excluding a number of products from the product and service basket from the consumer price index, in particular alcoholic beverages (bought in the shop or consumed in a café), tobacco products and motor fuels (with the exception of LPG). Population Belgian private households Frequency Monthly Timing of publication The results are available on the penultimate working day of the reference period Remarks Remark Confidentiality consumer price indices - Although the headings are published in the index and are therefore generally known, the exact definition of the goods and services is kept secret. This confidentiality is required to prevent attempts to manipulate the index, by resolute actions on certain goods and services. The confidentiality of the definitions guarantees the index objectiveness. Metadata Consumer price index - Health index.pdf

  4. Average index score for digital skills of children in Norway 2018, by age...

    • statista.com
    Updated Jul 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Average index score for digital skills of children in Norway 2018, by age and gender [Dataset]. https://www.statista.com/statistics/992159/average-index-score-for-digital-skills-of-children-in-norway-by-age-and-gender/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Norway
    Description

    This statistic shows the results of a survey conducted in 2018 on the digital skills that children in Norway have, based on gender and age. The average index was higher among boys (over *****) than among girls (under *****). The index grows the older kids get and reached *** at the age group between 15 and 17 years.

  5. U

    United States Index: Dow Jones: Industrial Average

    • ceicdata.com
    Updated Apr 15, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). United States Index: Dow Jones: Industrial Average [Dataset]. https://www.ceicdata.com/en/united-states/dow-jones-indexes/index-dow-jones-industrial-average
    Explore at:
    Dataset updated
    Apr 15, 2018
    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Securities Exchange Index
    Description

    United States Index: Dow Jones: Industrial Average data was reported at 25,538.460 26May1896=40.94 in Nov 2018. This records an increase from the previous number of 25,115.760 26May1896=40.94 for Oct 2018. United States Index: Dow Jones: Industrial Average data is updated monthly, averaging 1,546.670 26May1896=40.94 from Jan 1953 (Median) to Nov 2018, with 791 observations. The data reached an all-time high of 26,458.310 26May1896=40.94 in Sep 2018 and a record low of 261.220 26May1896=40.94 in Aug 1953. United States Index: Dow Jones: Industrial Average data remains active status in CEIC and is reported by Dow Jones. The data is categorized under Global Database’s United States – Table US.Z015: Dow Jones: Indexes.

  6. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-07-13 to 2025-07-11 about stock market, average, industry, and USA.

  7. (Table 2) Carbon preference indices of normal components in DSDP Holes...

    • doi.pangaea.de
    • search.dataone.org
    html, tsv
    Updated 1982
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Simon C Brassell; Geoffrey Eglinton; James R Maxwell (1982). (Table 2) Carbon preference indices of normal components in DSDP Holes 66-487 and 66-491 [Dataset]. http://doi.org/10.1594/PANGAEA.817756
    Explore at:
    html, tsvAvailable download formats
    Dataset updated
    1982
    Dataset provided by
    PANGAEA
    Authors
    Simon C Brassell; Geoffrey Eglinton; James R Maxwell
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Time period covered
    Mar 24, 1979 - Apr 13, 1979
    Area covered
    Variables measured
    Comment, Compounds, Event label, Sample code/label, Carbon Preference Index
    Description

    This dataset is about: (Table 2) Carbon preference indices of normal components in DSDP Holes 66-487 and 66-491. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.817763 for more information.

  8. e

    Consumer price index (CPI)

    • en.eustat.eus
    Updated Mar 5, 2009
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2009). Consumer price index (CPI) [Dataset]. en.eustat.eus/banku/id_2290/indexLista.html
    Explore at:
    Dataset updated
    Mar 5, 2009
    Description

    The Consumer Price Index (IPC) offers a statistical measurement of the conjunctural evolution of the set of prices of the goods and services consumed by families and that are acquired at normal prices, in certain functions of consumption. The source of information is the monthly state-wide statistics produced by the INE. It offers both a general index and a price index by group of products or services, either for the State as a whole or for the Basque Country; it disseminates the annual averages and also the variations or increases between reference periods.

  9. B

    Brazil Market Expectation: Price Indices: Extended National Consumer Price...

    • ceicdata.com
    Updated May 15, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2023). Brazil Market Expectation: Price Indices: Extended National Consumer Price Index 15 (IPCA-15): 1 Year Ahead: Average [Dataset]. https://www.ceicdata.com/en/brazil/market-expectation-price-indices-extended-national-consumer-price-index-15-ipca15/market-expectation-price-indices-extended-national-consumer-price-index-15-ipca15-1-year-ahead-average
    Explore at:
    Dataset updated
    May 15, 2023
    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 12, 2019 - Jun 28, 2019
    Area covered
    Brazil
    Variables measured
    Economic Expectation Survey
    Description

    Brazil Market Expectation: Price Indices: Extended National Consumer Price Index 15 (IPCA-15): 1 Year Ahead: Average data was reported at 3.810 % in 28 Jun 2019. This stayed constant from the previous number of 3.810 % for 27 Jun 2019. Brazil Market Expectation: Price Indices: Extended National Consumer Price Index 15 (IPCA-15): 1 Year Ahead: Average data is updated daily, averaging 4.520 % from May 2001 (Median) to 28 Jun 2019, with 4543 observations. The data reached an all-time high of 8.480 % in 18 Dec 2002 and a record low of 2.960 % in 16 Jul 2001. Brazil Market Expectation: Price Indices: Extended National Consumer Price Index 15 (IPCA-15): 1 Year Ahead: Average data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA017: Market Expectation: Price Indices: Extended National Consumer Price Index 15 (IPCA-15). Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. Measures the variation of the costs of the expenses, as described in the IPCA, in the approximate period from the 15th of a month to the 15th of the subsequent month.

  10. F

    Consumer Price Index for All Urban Consumers: Food at Home in U.S. City...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SAF11
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average (CUSR0000SAF11) from Jan 1952 to May 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

  11. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ********* at the end of March 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

  12. Fixed weighted index of average hourly earnings for all employees, by...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +3more
    Updated Jun 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Fixed weighted index of average hourly earnings for all employees, by industry, monthly [Dataset]. http://doi.org/10.25318/1410021301-eng
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Fixed weighted index (2002=100) of average hourly earnings for all employees, by North American Industry Classification System (NAICS), last 5 months.

  13. F

    Consumer Price Index for All Urban Consumers: Food in U.S. City Average

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Consumer Price Index for All Urban Consumers: Food in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CPIUFDNS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Food in U.S. City Average (CPIUFDNS) from Jan 1913 to May 2025 about urban, food, consumer, CPI, inflation, price index, indexes, price, and USA.

  14. e

    Shares; average price and reinvestment indices

    • data.europa.eu
    atom feed, json
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shares; average price and reinvestment indices [Dataset]. https://data.europa.eu/data/datasets/2988-aandelen-gemiddelde-koers-en-herbeleggingsindices
    Explore at:
    atom feed, jsonAvailable download formats
    License

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

    Description

    Average price index and average reinvestment index of shares.

    Data available from: April 2000

    Frequency: Discontinued; There will be no more updates.

    Infoservice: https://www.cbs.nl/infoservice”>http://www.cbs.nl/infoservice”. Copyright (c) Central Bureau of Statistics. Reproduction is permitted, provided that CBS is listed as the source.

  15. F

    Consumer Price Index for All Urban Consumers: Services in U.S. City Average

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Consumer Price Index for All Urban Consumers: Services in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SAS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Services in U.S. City Average (CUSR0000SAS) from Jan 1956 to May 2025 about urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  16. Consumer Price Index (CPI)

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +1more
    Updated May 16, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bureau of Labor Statistics (2022). Consumer Price Index (CPI) [Dataset]. https://catalog.data.gov/dataset/consumer-price-index-cpi-ee18b
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas. Average price data for select utility, automotive fuel, and food items are also available. Prices for the goods and services used to calculate the CPI are collected in 75 urban areas throughout the country and from about 23,000 retail and service establishments. Data on rents are collected from about 43,000 landlords or tenants. More information and details about the data provided can be found at http://www.bls.gov/cpi

  17. C

    Bonds; average price and reinvestment indices

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    OverheidNl (2023). Bonds; average price and reinvestment indices [Dataset]. https://ckan.mobidatalab.eu/dataset/2998-obligaties-gemiddelde-koers-en-herbeleggingsindices
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/atom, http://publications.europa.eu/resource/authority/file-type/jsonAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

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

    Description

    Average price index, average reinvestment index of bonds Data available from: April 2000 Frequency: per month Infoservice: "https://www.cbs.nl/infoservice">http://www.cbs.nl/infoservice</ a>. Copyright (c) Statistics Netherlands. Reproduction is permitted, provided Statistics Netherlands is cited as the source.

  18. F

    Consumer Price Index for All Urban Consumers: Services Less Energy Services...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Consumer Price Index for All Urban Consumers: Services Less Energy Services in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SASLE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Services Less Energy Services in U.S. City Average (CUUR0000SASLE) from Jan 1957 to May 2025 about energy, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  19. a

    2019 Travel Speed and Performance Measures/Indices de Vitesse de Déplacement...

    • icorridor-fr-mto-on-ca.hub.arcgis.com
    • icorridor-mto-on-ca.hub.arcgis.com
    Updated Jul 1, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Authoritative_iCorridor_mto_on_ca (2020). 2019 Travel Speed and Performance Measures/Indices de Vitesse de Déplacement et Rendement [Dataset]. https://icorridor-fr-mto-on-ca.hub.arcgis.com/datasets/015813a97d374175a2667fd20c7fa83f
    Explore at:
    Dataset updated
    Jul 1, 2020
    Dataset authored and provided by
    Authoritative_iCorridor_mto_on_ca
    Area covered
    Description

    Data tracking historical car travel speeds from the road network performance project. The travel speeds were calculated using 2019 link-level annual hourly traffic speed data from HERE. It includes the link-level historical annual average travel speed of peak and off-peak hours, performance measure indices – buffer time index (BTI), travel time index (TTI), and delay index (DI).Average travel speed (km/h) for all GPS points on the link during the weekday A.M. peak period (6 - 9 A.M.)Average travel speed (km/h) for all GPS points on the link during the weekday P.M. peak period (3 - 6 P.M.) Average travel speed (km/h) for all GPS points on the link during the weekend day period (6 A.M.- 6 P.M.) Buffer time index, Travel time index, and Delay index for all GPS points on the link during the weekday A.M. peak period (6 - 9 A.M.)Buffer time index, Travel time index, and Delay index for all GPS points on the link during the weekday P.M. peak period (3 - 6 P.M.) Buffer time index, Travel time index, and Delay index for all GPS points on the link during the weekend day period (6 A.M.- 6 P.M.) Buffer Time Index - The difference between the 95th percentile travel time and the average travel time over the average travel time.Travel Time Index - A comparison of peak period travel time to the free-flow travel time. This measure includes both recurring and non-recurring conditions.Delay Index - The time of delay measured in seconds is the difference between the observed and acceptable travel time for a specific roadway segment.Field Definition (Field Name, Alias Name)St_name, Road nameLink_dir, Unique road network link identifierAZIMUTH, road network digitizing directionATS_AM, link level average travel speed during AM peakATS_PM, link level average travel speed during PM peakATS_WN, link level average travel speed during weekends from 6 A.M. to 6 P.M.ATS_AM_ADJ, adjusted link level average travel speed during AM peakATS_PM_ADJ, adjusted link level average travel speed during PM peakATS_WN_ADJ, adjusted link level average travel speed during weekend 6 AM to 6 PMTTI_AM, travel time index during AM peakTTI_PM, travel time index during PM peakTTI_WN, travel time index during weekend 6 AM to 6 PMTTI_AM_ADJ, adjusted travel time index during AM peakTTI_PM_ADJ, adjusted travel time index during PM peakTTI_WN_ADJ, adjusted travel time index during weekend 6 AM to 6 PMDI_AM, delay index during AM peakDI_PM, delay index during PM peakDI_WN, delay index during weekend 6 AM to 6 PMDI_AM_ADJ, adjusted delay index during AM peakDI_PM_ADJ, adjusted delay index during PM peakDI_WN_ADJ, adjusted delay index during weekend 6 AM to 6 PMP95TH_AM, 95th percentile travel speed during AM peakP95TH_PM, 95th percentile travel speed during PM peakP95TH_WN, 95 percentile travel speed during weekend 6 AM to 6 PMBTI_AM, buffer time index during AM peakBTI_PM, buffer time index during PM peakBTI_WN, buffer time index during weekend 6 AM to 6 PMBTI_AM_ADJ, adjusted buffer time index during AM peakBTI_PM_ADJ, buffer time index during PM peakBTI_WN_ADJ, buffer time index during weekend 6 AM to 6 PMATS_WD00 - 23, weekday hourly average travel speed, link-level average travel speed at weekday which 00 – 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.).ATS_WN00 - 23, weekend hourly average travel speed, link-level average travel speed at weekend which 00 – 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.).FFS free flow speed in unit of kilometre per hourDonnées sur l’historique des vitesses de déplacement des automobiles provenant du projet de rendement du réseau routier. Les vitesses de déplacement sont issues des données sur la vitesse moyenne horaire de la circulation sur chaque segment de HERE, pour 2019. Elles comprennent la vitesse annuelle moyenne à l’échelle du segment routier aux périodes de pointe et aux heures creuses, ainsi que des indices de rendement : indice tampon, indice de temps de déplacement et indice de retard.Vitesse moyenne de déplacement (km/h) pour tous les points GPS du segment routier à la période de pointe du matin en semaine (6 h à 9 h)Vitesse moyenne de déplacement (km/h) pour tous les points GPS du segment routier à la période de pointe du soir en semaine (15 h à 18 h) Vitesse moyenne de déplacement (km/h) pour tous les points GPS du segment routier durant le jour en fin de semaine (6 h à 18 h) Indice tampon, indice de temps de déplacement et indice de retard pour tous les points GPS du segment routier à la période de pointe du matin en semaine (6 h à 9 h)Indice tampon, indice de temps de déplacement et indice de retard pour tous les points GPS du segment routier à la période de pointe du soir en semaine (15 h à 18 h) Indice tampon, indice de temps de déplacement et indice de retard pour tous les points GPS du segment routier durant le jour en fin de semaine (6 h à 18 h) Indice tampon : différence entre le 95e percentile du temps de déplacement et le temps de déplacement moyen , divisée par le temps de déplacement moyen.Indice de temps de déplacement : comparaison du temps de déplacement en période de pointe avec le temps de déplacement à circulation fluide. Comprend les conditions récurrentes et non récurrentes.Indice de retard : différence, mesurée en secondes, entre le temps de déplacement observé et temps de déplacement acceptable pour un segment routier donné.Link_dir, identifiant unique du segment routierSt_name, nom de la routeAZIMUTH, sens de numérisation du réseau routierATS_AM, vitesse moyenne de déplacement à l’échelle du segment routier pendant la période de pointe du matinATS_PM, vitesse moyenne de déplacement à l’échelle du segment routier pendant la période de pointe du soirATS_WN, vitesse moyenne de déplacement à l’échelle du segment routier la fin de semaine, de 6 h à 18 hATS_AM_ADJ, vitesse moyenne ajustée de déplacement à l’échelle du segment routier pendant la période de pointe du matinATS_PM_ADJ, vitesse moyenne ajustée de déplacement à l’échelle du segment routier pendant la période de pointe du soirATS_WN_ADJ, vitesse moyenne ajustée de déplacement à l’échelle du segment routier la fin de semaine, de 6 h à 18 hTTI_AM, indice de temps de déplacement pendant la période de pointe du matinTTI_PM, indice de temps de déplacement pendant la période de pointe du soirTTI_WN, indice de temps de déplacement de la fin de semaine, de 6 h à 18 hTTI_AM_ADJ, indice de temps de déplacement ajusté pendant la période de pointe du matinTTI_PM_ADJ, indice de temps de déplacement ajusté pendant la période de pointe du soirTTI_WN_ADJ, indice de temps de déplacement ajusté, la fin de semaine, de 6 h à 18 hDI_AM, indice de retard pendant la période de pointe du matinDI_PM, indice de retard pendant la période de pointe du soirDI_WN, indice de retard de la fin de semaine, de 6 h à 18 hDI_AM_ADJ, indice de retard ajusté, pendant la période de pointe du matinDI_PM_ADJ, indice de retard ajusté, pendant la période de pointe du soirDI_WN_ADJ, indice de retard ajusté, la fin de semaine, de 6 h à 18 hP95TH_AM, 95e percentile de la vitesse de déplacement pendant la période de pointe du matinP95TH_PM, 95e percentile de la vitesse de déplacement pendant la période de pointe du soirP95TH_WN, 95e percentile de la vitesse de déplacement de la fin de semaine, de 6 h à 18 hBTI_AM, indice tampon pendant la période de pointe du matinBTI_PM, indice tampon pendant la période de pointe du soirBTI_WN, indice tampon de la fin de semaine, de 6 h à 18 hBTI_AM_ADJ, indice tampon ajusté, pendant la période de pointe du matinBTI_PM_ADJ, indice tampon ajusté, pendant la période de pointe du soirBTI_WN_ADJ, indice tampon ajusté, la fin de semaine, de 6 h à 18 hATS_WD00 - 23, vitesse moyenne de déplacement par heure en semaine, vitesse moyenne de déplacement à l’échelle du segment routier en semaine; les chiffres « 00 - 23 » représentent l’heure du jour (ex. : 12 représente midi à 13 h)ATS_WN00 - 23, vitesse moyenne de déplacement par heure la fin de semaine, vitesse moyenne de déplacement à l’échelle du segment routier en fin de semaine; les chiffres « 00 - 23 » représentent l’heure du jour (ex. : 12 représente midi à 13 h)FFS vitesse de circulation fluide exprimée en kilomètres à l’heure

  20. Expenditure by type of household

    • ine.es
    csv, html, json +4
    Updated Jun 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    INE - Instituto Nacional de Estadística (2025). Expenditure by type of household [Dataset]. https://ine.es/jaxiT3/Tabla.htm?t=73793&L=1
    Explore at:
    txt, json, csv, xlsx, xls, html, text/pc-axisAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2024
    Variables measured
    Type of data, Type of household, Average expenditures, distribution, and index
    Description

    Household Budget Survey (HBS): Expenditure by type of household. Annual. National.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2018). Social Security Average Wage Indices. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4990e9b0ded94901a5ca7c49b7fff93c/html

Social Security Average Wage Indices.

Explore at:
htmlAvailable download formats
Dataset updated
Feb 27, 2018
Description

description: An explanation of the national average wage indexing series to index the earnings of individuals for benefit computation purposes.; abstract: An explanation of the national average wage indexing series to index the earnings of individuals for benefit computation purposes.

Search
Clear search
Close search
Google apps
Main menu