100+ datasets found
  1. Hogs statistics, weighted average prices

    • open.canada.ca
    • datasets.ai
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Hogs statistics, weighted average prices [Dataset]. https://open.canada.ca/data/en/dataset/60003c68-3a95-4358-8fee-5011e10a06b6
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 2 series, with data for years 1976 - 2010 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Price of hogs (2 items: In Ontario;In Manitoba).

  2. Average property price in the U.S.

    • statista.com
    Updated Dec 1, 2011
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    Statista (2011). Average property price in the U.S. [Dataset]. https://www.statista.com/statistics/219034/average-property-price-in-the-us/
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    Dataset updated
    Dec 1, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2011
    Area covered
    United States
    Description

    This statistic shows the average property price in the United States in 2011, by property type. Damaged REOs cost an average of 102,149 U.S. dollars in the U.S. that year. The abbreviation REO stands for real estate owned properties.

  3. U.S. industrial consumer price estimates for natural gas

    • statista.com
    Updated Oct 20, 2011
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    Statista (2011). U.S. industrial consumer price estimates for natural gas [Dataset]. https://www.statista.com/statistics/190645/us-industrial-consumer-price-estimates-for-natural-gas-since-1970/
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    Dataset updated
    Oct 20, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1970 - 2009
    Area covered
    United States
    Description

    This statistic gives the industrial consumer price estimates for natural gas from 1970 to 2009 in the United States. In 2001, this estimate came to 5.71 U.S. dollars per million British thermal units.

  4. Existing own homes; purchase prices, price indices 2015=100 1995-2023

    • cbs.nl
    • data.overheid.nl
    • +1more
    xml
    Updated Mar 11, 2024
    + more versions
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    Centraal Bureau voor de Statistiek (2024). Existing own homes; purchase prices, price indices 2015=100 1995-2023 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/83906eng
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Mar 11, 2024
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table shows the price development of existing own homes. Aside from the price indices, Statistics Netherlands also publishes figures on the number of sold dwellings, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices can fluctuate, for example when a limited number of dwellings of a certain type is sold. In such cases we recommend using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

    Data available from: January 1995 till December 2023

    Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

    From reporting month January 2024, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In February 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated

    Changes as of 11 March 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price indices 2020=100. See paragraph 3.

  5. Industrial product price index, by major product group, monthly

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Mar 20, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Industrial product price index, by major product group, monthly [Dataset]. http://doi.org/10.25318/1810026501-eng
    Explore at:
    Dataset updated
    Mar 20, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Industrial product price index (IPPI), by major product group by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1956. The table presents data for the most recent reference period and the last four periods. The base period for the index is (202001=100).

  6. U.S. housing: Case Shiller Portland Home Price Index 2017-2024

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). U.S. housing: Case Shiller Portland Home Price Index 2017-2024 [Dataset]. https://www.statista.com/statistics/398476/case-shiller-portland-home-price-index/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2017 - Aug 2024
    Area covered
    United States
    Description

    The S&P Case Shiller Portland Home Price Index has increased steadily in recent years. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given month, for example, it means that the house prices have increased by 30 percent since 2000. The value of the S&P Case Shiller Portland Home Price Index amounted to 328.3 in August 2024. That was higher the national average.

  7. Average hotel prices in New York in the U.S. 2014, by rating

    • statista.com
    Updated Dec 18, 2014
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    Statista (2014). Average hotel prices in New York in the U.S. 2014, by rating [Dataset]. https://www.statista.com/statistics/376876/average-hotel-prices-by-star-rating-new-york-us/
    Explore at:
    Dataset updated
    Dec 18, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the average hotel price in New York in the United States as of December 2014, sorted by star rating. According to the GoEuro Accommodation Price Index, a five star hotel cost an average of 669 U.S. dollars per night.

  8. House price statistics for small areas in England and Wales

    • cy.ons.gov.uk
    • ons.gov.uk
    csv, csvw, txt, xls
    Updated Sep 14, 2022
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    Ceri Lewis (2022). House price statistics for small areas in England and Wales [Dataset]. https://cy.ons.gov.uk/datasets/house-prices-local-authority
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    txt, csvw, csv, xlsAvailable download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Authors
    Ceri Lewis
    License

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

    Area covered
    Wales, England
    Description

    Summary statistics for housing transactions by local authority in England and Wales, on an annual basis, updated quarterly using HM Land Registry Price Paid Data. Select values from the Year and Month dimensions for data for a 12-month period ending that month and year (e.g. selecting June and 2018 will return the twelve months to June 2018).

  9. I

    Israel Rental Prices: Avg

    • ceicdata.com
    Updated May 28, 2017
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    CEICdata.com (2017). Israel Rental Prices: Avg [Dataset]. https://www.ceicdata.com/en/israel/average-rental-price-dwellings/rental-prices-avg
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    Dataset updated
    May 28, 2017
    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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Israel
    Variables measured
    Rent
    Description

    Israel Rental Prices: Avg data was reported at 4,817.400 ILS in Dec 2024. This records an increase from the previous number of 4,745.100 ILS for Sep 2024. Israel Rental Prices: Avg data is updated quarterly, averaging 4,074.500 ILS from Mar 2017 (Median) to Dec 2024, with 32 observations. The data reached an all-time high of 4,817.400 ILS in Dec 2024 and a record low of 3,684.800 ILS in Mar 2017. Israel Rental Prices: Avg data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.EB009: Average Rental Price: Dwellings.

  10. T

    United States House Price Index YoY

    • tradingeconomics.com
    • no.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 11, 2024
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    TRADING ECONOMICS (2024). United States House Price Index YoY [Dataset]. https://tradingeconomics.com/united-states/house-price-index-yoy
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 11, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1992 - Jan 31, 2025
    Area covered
    United States
    Description

    House Price Index YoY in the United States remained unchanged at 4.80 percent in January. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

  11. Medicare Advantage Rates And Statistics Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Medicare Advantage Rates And Statistics Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/medicare-advantage-rates-and-statistics-data-package/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package contains the data package includes all datasets released by the Centers for Medicare and Medicaid Services (CMS) that belong to the category of Ratebooks & Supporting Data for Medicare Advantage Plan costs estimation. The data contained are related to the two components of the capitated payment (rates and risk scores) and to the county and regional statutory benchmark.

  12. U.S. installed residential solar system price by select state H2 2023

    • statista.com
    Updated Jun 14, 2024
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    Statista (2024). U.S. installed residential solar system price by select state H2 2023 [Dataset]. https://www.statista.com/statistics/612475/installed-residential-solar-system-price-in-the-us-by-select-state/
    Explore at:
    Dataset updated
    Jun 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the second half of 2023, the median price of residential solar systems was about 2.8 U.S. dollars per watt in the United States. Installed prices were highest in Indiana, at 3.55 U.S. dollars per watt. Texas and Florida registered some of the lowest prices.

  13. F

    Consumer Price Index for All Urban Consumers: Electricity in Size Class A

    • fred.stlouisfed.org
    json
    Updated Mar 12, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Electricity in Size Class A [Dataset]. https://fred.stlouisfed.org/series/CUURA000SEHF01
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 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 Consumer Price Index for All Urban Consumers: Electricity in Size Class A (CUURA000SEHF01) from Dec 1986 to Feb 2025 about electricity, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

  14. m

    Median House Prices - By Type and Sale Year

    • data.melbourne.vic.gov.au
    • researchdata.edu.au
    csv, excel, json
    Updated Dec 14, 2022
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    (2022). Median House Prices - By Type and Sale Year [Dataset]. https://data.melbourne.vic.gov.au/explore/dataset/median-house-prices-by-type-and-sale-year/
    Explore at:
    json, csv, excelAvailable download formats
    Dataset updated
    Dec 14, 2022
    License

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

    Description

    Median prices for dwellings/townhouses, and apartments by their year of sale for the City of Melbourne.

  15. F

    Consumer Price Index for All Urban Consumers: Recreation Commodities in...

    • fred.stlouisfed.org
    json
    Updated Jan 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Recreation Commodities in Midwest [Dataset]. https://fred.stlouisfed.org/series/CUUS0200SARC
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    License

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

    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Recreation Commodities in Midwest (CUUS0200SARC) from H1 2010 to H2 2024 about midwest, recreation, urban, consumer, CPI, commodities, inflation, price index, indexes, price, and USA.

  16. F

    Consumer Price Index for All Urban Consumers: Household Energy in South -...

    • fred.stlouisfed.org
    json
    Updated Jan 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Household Energy in South - Size Class B/C [Dataset]. https://fred.stlouisfed.org/series/CUURX300SAH21
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    License

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

    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Household Energy in South - Size Class B/C (CUURX300SAH21) from Dec 1997 to Dec 2024 about south, energy, urban, households, consumer, CPI, inflation, price index, indexes, price, and USA.

  17. N

    Price County, WI Population Breakdown by Gender

    • neilsberg.com
    csv, json
    Updated Sep 14, 2023
    + more versions
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    Neilsberg Research (2023). Price County, WI Population Breakdown by Gender [Dataset]. https://www.neilsberg.com/research/datasets/6555ddf8-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Price County, Wisconsin
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Price County by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Price County across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a slight majority of male population, with 51.68% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Price County is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Price County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Price County Population by Gender. You can refer the same here

  18. F

    Producer Price Index by Commodity: Intermediate Demand by Commodity Type:...

    • fred.stlouisfed.org
    json
    Updated Feb 13, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Intermediate Demand by Commodity Type: Trade Services for Intermediate Demand [Dataset]. https://fred.stlouisfed.org/series/WPUID633
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 13, 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: Intermediate Demand by Commodity Type: Trade Services for Intermediate Demand (WPUID633) from Nov 2009 to Jan 2025 about intermediate, trade, services, commodities, PPI, inflation, price index, indexes, price, and USA.

  19. N

    Price, Wisconsin Population Breakdown by Gender and Age

    • neilsberg.com
    csv, json
    Updated Sep 14, 2023
    + more versions
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    Neilsberg Research (2023). Price, Wisconsin Population Breakdown by Gender and Age [Dataset]. https://www.neilsberg.com/research/datasets/67698acf-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Wisconsin
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Price town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Price town. The dataset can be utilized to understand the population distribution of Price town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Price town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Price town.

    Key observations

    Largest age group (population): Male # 0-4 years (39) | Female # 55-59 years (29). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Price town population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Price town is shown in the following column.
    • Population (Female): The female population in the Price town is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Price town for each age group.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Price town Population by Gender. You can refer the same here

  20. F

    Consumer Price Index for All Urban Consumers: All Items in Size Class B/C

    • fred.stlouisfed.org
    json
    Updated Jan 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: All Items in Size Class B/C [Dataset]. https://fred.stlouisfed.org/series/CUUSX000SA0
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    License

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

    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: All Items in Size Class B/C (CUUSX000SA0) from H1 1997 to H2 2024 about all items, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Share
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Cite
Statistics Canada (2023). Hogs statistics, weighted average prices [Dataset]. https://open.canada.ca/data/en/dataset/60003c68-3a95-4358-8fee-5011e10a06b6
Organization logo

Hogs statistics, weighted average prices

Explore at:
csv, html, xmlAvailable download formats
Dataset updated
Jan 17, 2023
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Description

This table contains 2 series, with data for years 1976 - 2010 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Price of hogs (2 items: In Ontario;In Manitoba).

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