67 datasets found
  1. u

    Data from: Personal Inflation Calculator

    • zivahub.uct.ac.za
    xlsx
    Updated Aug 9, 2018
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    Darian Sagnelli (2018). Personal Inflation Calculator [Dataset]. http://doi.org/10.25375/uct.6882941.v1
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    xlsxAvailable download formats
    Dataset updated
    Aug 9, 2018
    Dataset provided by
    University of Cape Town
    Authors
    Darian Sagnelli
    License

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

    Description

    Inflation rates experienced by different groups of consumers within a country vary. This is because the prices of goods and services and the expenditure patterns of consumers differ. The published inflation rate is used for important decisions regarding the preservation of consumer purchasing power. These include the adjustment of social grants and minimum wages by government and the benchmarking of returns by investors when making investment decisions. It is thus vital that inflation is measured accurately to ensure the purchasing power of consumers is preserved. Current measures of inflation published by Stats SA are applicable to typical consumers and are not relevant to each individual. This resource supplements a study that seeks to provide a publicly available model that can be used by consumers to calculate their personal rate of inflation.

  2. M

    U.S. Inflation Rate 1960-2025

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). U.S. Inflation Rate 1960-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/inflation-rate-cpi
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    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, 1960 - May 31, 2025
    Area covered
    United States
    Description
    U.S. inflation rate for 2023 was 4.13%, a 3.88% decline from 2022.
    <ul style='margin-top:20px;'>
    
    <li>U.S. inflation rate for 2022 was <strong>8.00%</strong>, a <strong>3.3% increase</strong> from 2021.</li>
    <li>U.S. inflation rate for 2021 was <strong>4.70%</strong>, a <strong>3.46% increase</strong> from 2020.</li>
    <li>U.S. inflation rate for 2020 was <strong>1.23%</strong>, a <strong>0.58% decline</strong> from 2019.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  3. M

    India Inflation Rate (1960-2024)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). India Inflation Rate (1960-2024) [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/inflation-rate-cpi
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    india
    Description
    India inflation rate for 2024 was 4.95%, a 0.7% decline from 2023.
    <ul style='margin-top:20px;'>
    
    <li>India inflation rate for 2023 was <strong>5.65%</strong>, a <strong>1.05% decline</strong> from 2022.</li>
    <li>India inflation rate for 2022 was <strong>6.70%</strong>, a <strong>1.57% increase</strong> from 2021.</li>
    <li>India inflation rate for 2021 was <strong>5.13%</strong>, a <strong>1.49% decline</strong> from 2020.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  4. Inflation rate in China 2014-2030

    • ai-chatbox.pro
    • statista.com
    Updated May 30, 2025
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    Statista Research Department (2025). Inflation rate in China 2014-2030 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F9230%2Fstagflation%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In 2024, the average annual inflation rate in China ranged at around 0.2 percent compared to the previous year. For 2025, projections by the IMF expect slightly negative inflation. The monthly inflation rate in China dropped to negative values in the first quarter of 2025. Calculation of inflation The inflation rate is calculated based on the Consumer Price Index (CPI) for China. The CPI is computed using a product basket that contains a predefined range of products and services on which the average consumer spends money throughout the year. Included are expenses for groceries, clothes, rent, power, telecommunications, recreational activities, and raw materials (e.g. gas, oil), as well as federal fees and taxes. The product basked is adjusted every five years to reflect changes in consumer preference and has been updated in 2020 for the last time. The inflation rate is then calculated using changes in the CPI. As the inflation of a country is seen as a key economic indicator, it is frequently used for international comparison. China's inflation in comparison Among the main industrialized and emerging economies worldwide, China displayed comparatively low inflation in 2023 and 2024. In previous years, China's inflation ranged marginally above the inflation rates of established industrialized powerhouses such as the United States or the European Union. However, this changed in 2021, as inflation rates in developed countries rose quickly, while prices in China only increased moderately. According to IMF estimates for 2024, Zimbabwe was expected to be the country with the highest inflation rate, with a consumer price increase of about 561 percent compared to 2023. In 2023, Turkmenistan had the lowest price increase worldwide with prices actually decreasing by about 1.7 percent.

  5. M

    Italy Inflation Rate (1960-2024)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Italy Inflation Rate (1960-2024) [Dataset]. https://www.macrotrends.net/global-metrics/countries/ita/italy/inflation-rate-cpi
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Italy
    Description
    Italy inflation rate for 2024 was 0.98%, a 4.64% decline from 2023.
    <ul style='margin-top:20px;'>
    
    <li>Italy inflation rate for 2023 was <strong>5.62%</strong>, a <strong>2.58% decline</strong> from 2022.</li>
    <li>Italy inflation rate for 2022 was <strong>8.20%</strong>, a <strong>6.33% increase</strong> from 2021.</li>
    <li>Italy inflation rate for 2021 was <strong>1.87%</strong>, a <strong>2.01% increase</strong> from 2020.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  6. Brazil: monthly change in extended CPI in 2025, by city

    • statista.com
    • ai-chatbox.pro
    Updated Feb 24, 2025
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    Statista (2025). Brazil: monthly change in extended CPI in 2025, by city [Dataset]. https://www.statista.com/statistics/1382146/monthly-change-extended-national-consumer-price-index-brazil/
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    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Brazil
    Description

    The Brazilian Federal Government considers the Extended National Consumer Price Index (ENCPI) as one of the most important indexes for calculating inflation. In January 2025, the extended CPI has changed among Brazilian cities, with the highest monthly increase observed in Recife, which registered 0.28 percent growth in that month. The lowest values happened when Rio de Janeiro presented negative extended CPI growth, at -0.46 percent.

  7. Brunei BN: Consumer Price Index: % Change

    • ceicdata.com
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    CEICdata.com, Brunei BN: Consumer Price Index: % Change [Dataset]. https://www.ceicdata.com/en/brunei/inflation/bn-consumer-price-index--change
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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
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Brunei
    Variables measured
    Consumer Prices
    Description

    Brunei BN: Consumer Price Index (CPI): % Change data was reported at -0.389 % in 2024. This records a decrease from the previous number of 0.357 % for 2023. Brunei BN: Consumer Price Index (CPI): % Change data is updated yearly, averaging 1.180 % from Dec 1981 (Median) to 2024, with 44 observations. The data reached an all-time high of 9.137 % in 1981 and a record low of -2.315 % in 2002. Brunei BN: Consumer Price Index (CPI): % Change data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brunei – Table BN.World Bank.WDI: Inflation. Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.;International Monetary Fund, International Financial Statistics and data files.;Median;

  8. Consumer Price Index (CPI)

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +1more
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). Consumer Price Index (CPI) [Dataset]. https://catalog.data.gov/dataset/consumer-price-index-cpi-ee18b
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    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

  9. RPI inflation rate in the UK 2015-2025

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). RPI inflation rate in the UK 2015-2025 [Dataset]. https://www.statista.com/statistics/285203/percentage-change-of-the-retail-price-index-rpi-in-the-uk/
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - May 2025
    Area covered
    United Kingdom
    Description

    The inflation rate for the Retail Price Index (RPI) in the United Kingdom was 4.3 percent in May 2025, down from 4.5 percent in the previous month. From 2021 onwards, prices in the UK rose rapidly, with the RPI inflation rate peaking at 14.2 percent in October 2022. Although inflation fell in subsequent months, it wasn't until July 2023 that inflation fell below double digits, and as of late 2024, the RPI rate was still above three percent. The CPI and CPIH While the retail price index is still a popular method of calculating inflation, the consumer price index (CPI) is the current main measurement of inflation in the UK. There is also an additional price index, which includes some extra housing costs, known as the Consumer Price Index including homer occupiers' costs (CPIH) index, which is seen by the UK's Office of National Statistics as the official inflation rate. As of December 2024, the CPI inflation rate stood at 2.5 percent, while the CPIH rate was 3.5 percent. Core inflation down in 2024 Another way of measuring inflation is to strip out the volatility of energy and food prices and look at the underlying core inflation rate. As of December 2024, this was 3.2 percent, slightly higher than the overall CPI rate, but more aligned with the overall figure than it was in 2022 and 2023. When inflation peaked at 11.2 percent in October 2022, for example, core inflation stood at just 6.5 percent. After energy prices in 2023 fell relative to 2022, the overall inflation rate in the UK declined quite rapidly, with core inflation overtaking the overall rate in July 2023. During the most recent period of high inflation, core inflation peaked at 7.1 percent in May 2023, and while taking longer to fall than the overall figure, has generally been declining since then.

  10. M

    Germany Inflation Rate (1960-2024)

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Germany Inflation Rate (1960-2024) [Dataset]. https://www.macrotrends.net/global-metrics/countries/deu/germany/inflation-rate-cpi
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Germany
    Description
    Germany inflation rate for 2024 was 2.26%, a 3.69% decline from 2023.
    <ul style='margin-top:20px;'>
    
    <li>Germany inflation rate for 2023 was <strong>5.95%</strong>, a <strong>0.93% decline</strong> from 2022.</li>
    <li>Germany inflation rate for 2022 was <strong>6.87%</strong>, a <strong>3.81% increase</strong> from 2021.</li>
    <li>Germany inflation rate for 2021 was <strong>3.07%</strong>, a <strong>2.92% increase</strong> from 2020.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  11. Calculation steps for estimating the cost of a single mass drug...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Wilma A. Stolk; Quirine A. ten Bosch; Sake J. de Vlas; Peter U. Fischer; Gary J. Weil; Ann S. Goldman (2023). Calculation steps for estimating the cost of a single mass drug administration (MDA) round. [Dataset]. http://doi.org/10.1371/journal.pntd.0001984.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wilma A. Stolk; Quirine A. ten Bosch; Sake J. de Vlas; Peter U. Fischer; Gary J. Weil; Ann S. Goldman
    License

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

    Description

    The table displays the source data and describes all steps that were taken to estimate the cost of a single MDA round per 100,000 eligibles.n.a. = not applicable.aThe term base year refers to the year in which cost were originally measured (1996 for India, 2002 for West Africa).bCalculated from 1), 3) and 4), assuming that drugs (50 mg DEC tablets) were purchased for all eligible persons.cFor India: cost of DEC (50-mg tablets; 5.2 tablets p.p. on average; 0.026 US$ p.p. on average) were subtracted.dCorrection for inflation, using the annual deflators as published by the World Bank [24], i.e. the rate of price change in the economy as a whole. The amount under 6) was first converted back to local currency using the base year conversion rate. Then we applied the correction for inflation between the base year and 2009. The new amount was reconverted into US dollars using the 2009 conversion rate. Average annual inflation in India was about 5% between 1996 and 2009. The average annual inflation between 2002 and 2009 in Burkina Faso was 9%.eWe assume that sensitization efforts in India are intensified to achieve higher coverage, as studied elsewhere [25], [26]. Associated extra costs (for personnel and supplies) would be 0.009 US $ per person in 2002, or 0.015 US$ per eligible if adjusted to 2009 values.fVolunteer remuneration has changed. In 2002, volunteers were paid for 2 days of training only, not distribution. By 2010 Burkina volunteers were remunerated for about 2.5 days training and 7 days distribution; the daily rate remained the same. [sources: [11] and personal communications from program directors in Burkina Faso in 2011].gIn India, DEC has to be purchased by the government, at 0.00924 US% p.p. on average (for 100 mg tablets, 2.75 tablets p.p. on average).hDonated drug: albendazole (0.022 US$ p.p.).iDonated drugs: albendazole (0.022 US$ p.p.) and ivermectin (4.2 US$ p.p. on average).

  12. M

    Central America Inflation Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Central America Inflation Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/mca/central-america/inflation-rate-cpi
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Central America
    Description
    Central America inflation rate for was 0.00%, a 0% increase from .
    <ul style='margin-top:20px;'>
    
    <li>Central America inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
    <li>Central America inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
    <li>Central America inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  13. f

    Unified Expanded Novel Hex Formula Datasets

    • figshare.com
    application/csv
    Updated Jun 11, 2024
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    Hector Ortiz (2024). Unified Expanded Novel Hex Formula Datasets [Dataset]. http://doi.org/10.6084/m9.figshare.26013247.v1
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    application/csvAvailable download formats
    Dataset updated
    Jun 11, 2024
    Dataset provided by
    figshare
    Authors
    Hector Ortiz
    License

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

    Description

    This repository contains datasets generated from simulations based on the Unified Novel Hex Formula. These datasets are designed to provide insights into various aspects of the universe's dynamics, including volume evolution, gravitational wave signals, and energy density changes over time.Contents1. universe_volume_over_time.csv: This dataset illustrates the evolution of the volume of the universe over time according to the Unified Expanded Novel Hex Formula. It includes two columns: "Time (Billion Years)" and "Volume."2. gravitational_wave_signal.csv: This dataset demonstrates the gravitational wave signal generated by black hole mergers, as predicted by the Unified Expanded Novel Hex Formula. It includes two columns: "Time (Seconds)" and "Gravitational Wave Amplitude."3. energy_density_over_time.csv: This dataset showcases the change in energy density of the universe over time, as calculated by the Unified Expanded Novel Hex Formula. It includes two columns: "Time (Billion Years)" and "Energy Density."4. ' detailed_hex_formula_dataset.csv ' : This dataset supports research conducted on the dynamics of bubble universes within the multiverse, as described by the Hex Formula. The dataset includes simulated data aligned with the parameters and variables of the Hex Formula, such as volume, energy density, flux of energy, and perception of time.

  14. San Marino SM: Consumer Price Index: % Change

    • ceicdata.com
    Updated Jan 15, 2017
    + more versions
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    CEICdata.com (2018). San Marino SM: Consumer Price Index: % Change [Dataset]. https://www.ceicdata.com/en/san-marino/inflation/sm-consumer-price-index--change
    Explore at:
    Dataset updated
    Jan 15, 2017
    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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    San Marino
    Description

    San Marino Consumer Price Index (CPI): % Change data was reported at 1.046 % in 2017. This records an increase from the previous number of 0.574 % for 2016. San Marino Consumer Price Index (CPI): % Change data is updated yearly, averaging 1.890 % from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 4.293 % in 2008 and a record low of 0.146 % in 2015. San Marino Consumer Price Index (CPI): % Change data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Inflation. Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.; ; International Monetary Fund, International Financial Statistics and data files.; Median;

  15. U

    United Arab Emirates AE: Consumer Price Index: % Change

    • ceicdata.com
    Updated Jun 15, 2024
    + more versions
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    CEICdata.com (2024). United Arab Emirates AE: Consumer Price Index: % Change [Dataset]. https://www.ceicdata.com/en/united-arab-emirates/inflation/ae-consumer-price-index--change
    Explore at:
    Dataset updated
    Jun 15, 2024
    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
    Dec 1, 2008 - Dec 1, 2016
    Area covered
    United Arab Emirates
    Variables measured
    Consumer Prices
    Description

    United Arab Emirates AE: Consumer Price Index (CPI): % Change data was reported at 1.969 % in 2017. This records an increase from the previous number of 1.616 % for 2016. United Arab Emirates AE: Consumer Price Index (CPI): % Change data is updated yearly, averaging 1.588 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 12.250 % in 2008 and a record low of 0.662 % in 2012. United Arab Emirates AE: Consumer Price Index (CPI): % Change data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Inflation. Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.; ; International Monetary Fund, International Financial Statistics and data files.; Median;

  16. Tajikistan TJ: Consumer Price Index: % Change

    • ceicdata.com
    Updated Nov 15, 2019
    + more versions
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    CEICdata.com (2019). Tajikistan TJ: Consumer Price Index: % Change [Dataset]. https://www.ceicdata.com/en/tajikistan/inflation/tj-consumer-price-index--change
    Explore at:
    Dataset updated
    Nov 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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Tajikistan
    Variables measured
    Consumer Prices
    Description

    Tajikistan TJ: Consumer Price Index (CPI): % Change data was reported at 6.005 % in 2016. This records an increase from the previous number of 5.715 % for 2015. Tajikistan TJ: Consumer Price Index (CPI): % Change data is updated yearly, averaging 7.117 % from Dec 2001 (Median) to 2016, with 16 observations. The data reached an all-time high of 38.592 % in 2001 and a record low of 5.010 % in 2013. Tajikistan TJ: Consumer Price Index (CPI): % Change data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tajikistan – Table TJ.World Bank.WDI: Inflation. Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.; ; International Monetary Fund, International Financial Statistics and data files.; Median;

  17. F

    Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds [Dataset]. https://fred.stlouisfed.org/series/WPS029301
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    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds (WPS029301) from Jan 2005 to May 2025 about processed, food, commodities, PPI, inflation, price index, indexes, price, and USA.

  18. Consumer Price Index 2021 - West Bank and Gaza

    • pcbs.gov.ps
    Updated May 18, 2023
    + more versions
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    Palestinian Central Bureau of Statistics (2023). Consumer Price Index 2021 - West Bank and Gaza [Dataset]. https://www.pcbs.gov.ps/PCBS-Metadata-en-v5.2/index.php/catalog/711
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    Dataset updated
    May 18, 2023
    Dataset authored and provided by
    Palestinian Central Bureau of Statisticshttp://pcbs.gov.ps/
    Time period covered
    2021
    Area covered
    Palestine, West Bank
    Description

    Abstract

    The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

    Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

    Geographic coverage

    Palestine West Bank Gaza Strip Jerusalem

    Analysis unit

    The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

    Universe

    The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

    Sampling deviation

    Not apply

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

    In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

    Cleaning operations

    The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

    At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

    Response rate

    Not apply

    Sampling error estimates

    The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

    Data appraisal

    Other technical procedures to improve data quality: Seasonal adjustment processes

  19. g

    Development Economics Data Group - Inflation, consumer prices (annual %) |...

    • gimi9.com
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    Development Economics Data Group - Inflation, consumer prices (annual %) | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_wb_gs_fp_cpi_totl_zg/
    Explore at:
    License

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

    Description

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

  20. M

    Iraq Inflation Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Iraq Inflation Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/irq/iraq/inflation-rate-cpi
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Iraq
    Description
    Iraq inflation rate for 2023 was 4.36%, a 0.64% decline from 2022.
    <ul style='margin-top:20px;'>
    
    <li>Iraq inflation rate for 2022 was <strong>4.99%</strong>, a <strong>1.05% decline</strong> from 2021.</li>
    <li>Iraq inflation rate for 2021 was <strong>6.04%</strong>, a <strong>5.47% increase</strong> from 2020.</li>
    <li>Iraq inflation rate for 2020 was <strong>0.57%</strong>, a <strong>0.77% increase</strong> from 2019.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
Share
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Darian Sagnelli (2018). Personal Inflation Calculator [Dataset]. http://doi.org/10.25375/uct.6882941.v1

Data from: Personal Inflation Calculator

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Aug 9, 2018
Dataset provided by
University of Cape Town
Authors
Darian Sagnelli
License

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

Description

Inflation rates experienced by different groups of consumers within a country vary. This is because the prices of goods and services and the expenditure patterns of consumers differ. The published inflation rate is used for important decisions regarding the preservation of consumer purchasing power. These include the adjustment of social grants and minimum wages by government and the benchmarking of returns by investors when making investment decisions. It is thus vital that inflation is measured accurately to ensure the purchasing power of consumers is preserved. Current measures of inflation published by Stats SA are applicable to typical consumers and are not relevant to each individual. This resource supplements a study that seeks to provide a publicly available model that can be used by consumers to calculate their personal rate of inflation.

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