100+ datasets found
  1. F

    Global price of Sugar, No. 16, US

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
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    (2025). Global price of Sugar, No. 16, US [Dataset]. https://fred.stlouisfed.org/series/PSUGAUSAUSDM
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Global price of Sugar, No. 16, US (PSUGAUSAUSDM) from Jan 1990 to May 2025 about sugar, World, and price.

  2. Sugar 16 Price Trend and Forecast

    • procurementresource.com
    Updated Feb 24, 2025
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    Procurement Resource (2025). Sugar 16 Price Trend and Forecast [Dataset]. https://www.procurementresource.com/resource-center/sugar-16-price-trends
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    Dataset updated
    Feb 24, 2025
    Dataset provided by
    Authors
    Procurement Resource
    License

    https://www.procurementresource.com/privacy-policyhttps://www.procurementresource.com/privacy-policy

    Time period covered
    Jan 1, 2014 - Jul 12, 2027
    Area covered
    Asia, North America, Middle East & Africa, Europe, Latin America
    Description

    Get comprehensive insights into the Sugar 16 market, with a focused analysis of the Sugar 16 price trend across Asia, Europe, North America, Latin America, and the Middle East Africa.

  3. F

    Global price of Sugar, No. 16, US

    • fred.stlouisfed.org
    json
    Updated Apr 10, 2025
    + more versions
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    (2025). Global price of Sugar, No. 16, US [Dataset]. https://fred.stlouisfed.org/graph/?g=nfm0
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Global price of Sugar, No. 16, US from Q1 1990 to Q1 2025 about sugar, World, and price.

  4. United States Long Term Projections: Raw Sugar Price: New York, No. 16...

    • ceicdata.com
    Updated Dec 25, 2024
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    CEICdata.com (2024). United States Long Term Projections: Raw Sugar Price: New York, No. 16 Contract [Dataset]. https://www.ceicdata.com/en/united-states/agricultural-projections-sugar/long-term-projections-raw-sugar-price-new-york-no-16-contract
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    Dataset updated
    Dec 25, 2024
    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, 2023 - Dec 1, 2034
    Area covered
    United States
    Description

    United States Long Term Projections: Raw Sugar Price: New York, No. 16 Contract data was reported at 35.930 0.01 USD/lb in 2034. This records an increase from the previous number of 35.853 0.01 USD/lb for 2033. United States Long Term Projections: Raw Sugar Price: New York, No. 16 Contract data is updated yearly, averaging 35.930 0.01 USD/lb from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 40.700 0.01 USD/lb in 2022 and a record low of 35.391 0.01 USD/lb in 2028. United States Long Term Projections: Raw Sugar Price: New York, No. 16 Contract data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI011: Agricultural Projections: Sugar.

  5. ICE US Sugar No. 16 Futures (SF) - Real-time and Historical Data

    • databento.com
    csv, dbn, json
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    Databento, ICE US Sugar No. 16 Futures (SF) - Real-time and Historical Data [Dataset]. https://databento.com/catalog/ifus/IFUS.IMPACT/futures/SF
    Explore at:
    dbn, json, csvAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Dec 23, 2018 - Present
    Area covered
    Worldwide
    Description

    Browse Sugar No. 16 Futures (SF) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

    ICE Futures US iMpact is the primary data feed for ICE Futures US and covers the majority of trading in agricultural commodities, including sugar, coffee, cotton, and cocoa futures and options. This comprehensive market data feed also includes financial products such as equity indexes, currencies, and US Treasury futures contracts. The dataset provides complete market depth information across all listed outrights, spreads, options, and options combinations for every expiration month. ICE Futures US represents one of the most significant exchanges for US-based agricultural and financial derivatives, offering essential price discovery and risk management tools for global market participants.

    Asset class: Futures, Options

    Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

    Supported data encodings: DBN, CSV, JSON (Learn more)

    Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics (Learn more)

    Resolution: Immediate publication, nanosecond-resolution timestamps

  6. Domestic sugar consumption in China 2015/16-2025/26

    • statista.com
    Updated May 23, 2025
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    Statista (2025). Domestic sugar consumption in China 2015/16-2025/26 [Dataset]. https://www.statista.com/statistics/1062436/china-domestic-sugar-consumption/
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    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In the marketing year 2024/25, the estimated human domestic consumption of sugar amounted to **** million metric tons in China. The sugar consumption was forecast to remain the same in the marketing year 2024/25.

  7. Price of sugar - Business Environment Profile

    • ibisworld.com
    Updated Apr 25, 2024
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    IBISWorld (2024). Price of sugar - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-states/bed/price-of-sugar/176
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    Dataset updated
    Apr 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Description

    The price of sugar is represented by the price of contract No. 16 raw sugar on the New York Board of Trade. Contract No. 16 prices became the standard sugar price in September 2009, when the previously used contract No. 14 prices were phased out. Annual figures are equally weighted averages of monthly means, and data and forecast growth rates are sourced from the US Department of Agriculture (USDA).

  8. I

    Indonesia Average Retail Price: Sugar: Modern Market: East Java: Malang...

    • ceicdata.com
    Updated Mar 26, 2025
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    CEICdata.com (2025). Indonesia Average Retail Price: Sugar: Modern Market: East Java: Malang Municipality [Dataset]. https://www.ceicdata.com/en/indonesia/average-retail-price-modern-market-by-regions-sugar/average-retail-price-sugar-modern-market-east-java-malang-municipality
    Explore at:
    Dataset updated
    Mar 26, 2025
    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 11, 2025 - Mar 26, 2025
    Area covered
    Indonesia
    Variables measured
    Domestic Trade Price
    Description

    Average Retail Price: Sugar: Modern Market: East Java: Malang Municipality data was reported at 17,500.000 IDR/kg in 16 May 2025. This stayed constant from the previous number of 17,500.000 IDR/kg for 15 May 2025. Average Retail Price: Sugar: Modern Market: East Java: Malang Municipality data is updated daily, averaging 13,500.000 IDR/kg from Jul 2016 (Median) to 16 May 2025, with 2134 observations. The data reached an all-time high of 17,500.000 IDR/kg in 16 May 2025 and a record low of 12,100.000 IDR/kg in 13 May 2019. Average Retail Price: Sugar: Modern Market: East Java: Malang Municipality data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Prices – Table ID.PB060: Average Retail Price: Modern Market: By Regions: Sugar. [COVID-19-IMPACT]

  9. g

    Population aged 16 and over according to frequency of revision of the sugar...

    • gimi9.com
    + more versions
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    Population aged 16 and over according to frequency of revision of the sugar level and social classes based on the occupation of the reference person. Canary Islands. 2021 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_5298cbd50936395c2754659c820602b89a98bdee/
    Explore at:
    Area covered
    Canary Islands
    Description

    This table provides 2021 data on the estimated population aged 16 and over in the Canary Islands by frequency of revision of the sugar level and social classes based on the occupation of the reference person.

  10. Population aged 16 and over according to frequency of revision of sugar...

    • data.europa.eu
    unknown
    Updated Sep 21, 2023
    + more versions
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    Instituto Canario de Estadística (2023). Population aged 16 and over according to frequency of revision of sugar level, sexes and age groups. Canary Islands. 2004-2009-2015-2021 [Dataset]. https://data.europa.eu/data/datasets/https-datos-canarias-es-catalogos-estadisticas-dataset-urn-siemac-org-siemac-metamac-infomodel-statisticalresources-dataset-istac-c00035a_000066?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Sep 21, 2023
    Dataset provided by
    Authors
    Instituto Canario de Estadística
    License

    http://www.gobiernodecanarias.org/istac/aviso_legal.htmlhttp://www.gobiernodecanarias.org/istac/aviso_legal.html

    Area covered
    Canary Islands
    Description

    This table provides comparative data from 2004, 2009, 2015 and 2021 on the estimated population aged 16 and over in the Canary Islands by frequency of revision of sugar level, sexes and age groups.

  11. N

    Sugar Map MKDADensity Meta Analysis: included : 2025-06-16 18:13:46

    • neurovault.org
    zip
    Updated Jun 16, 2025
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    (2025). Sugar Map MKDADensity Meta Analysis: included : 2025-06-16 18:13:46 [Dataset]. http://identifiers.org/neurovault.collection:20919
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

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

    Description

    A collection of 5 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

    Collection description

    MKDADensity meta analysis with FDRCorrector

  12. N

    Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Sugar...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Sugar City, ID Household Incomes Across 16 Income Brackets // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/f370ee1f-f353-11ef-8577-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 25, 2025
    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
    Sugar City
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Sugar City: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 38(6.15%) households where the householder is under 25 years old, 277(44.82%) households with a householder aged between 25 and 44 years, 123(19.90%) households with a householder aged between 45 and 64 years, and 180(29.13%) households where the householder is over 65 years old.
    • The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Sugar City, showcasing varying income levels among different age demographics.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    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 Sugar City median household income by age. You can refer the same here

  13. e

    Population aged 16 and over according to preventive sugar level measurement,...

    • data.europa.eu
    unknown
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    Comunidad Autónoma de Canarias, Population aged 16 and over according to preventive sugar level measurement, sexes and age groups. Canary Islands. 2004 [Dataset]. https://data.europa.eu/data/datasets/https-datos-canarias-es-catalogos-estadisticas-dataset-poblacion-de-16-y-mas-anos-segun-medicion-del-nivel-de-azucar-de-forma-preventiva-sexos-y-2004
    Explore at:
    unknown(2069), unknown(8763), unknown(7476)Available download formats
    Dataset authored and provided by
    Comunidad Autónoma de Canarias
    License

    http://www.gobiernodecanarias.org/istac/aviso_legal.htmlhttp://www.gobiernodecanarias.org/istac/aviso_legal.html

    Area covered
    Canary Islands
    Description

    Population aged 16 and over according to preventive sugar level measurement, sexes and age groups. Canary Islands. 2004.

  14. N

    Sugar Map MKDADensity Meta Analysis: included : 2025-06-16 18:13:46:...

    • neurovault.org
    nifti
    Updated Jun 16, 2025
    + more versions
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    (2025). Sugar Map MKDADensity Meta Analysis: included : 2025-06-16 18:13:46: p.nii.gz [Dataset]. http://identifiers.org/neurovault.image:901372
    Explore at:
    niftiAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

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

    Description

    glassbrain

    Collection description

    MKDADensity meta analysis with FDRCorrector

    Subject species

    homo sapiens

    Modality

    Other

    Analysis level

    meta-analysis

    Map type

    P

  15. o

    Data from: Continuous glucose monitoring profiles in healthy non-diabetic...

    • explore.openaire.eu
    • data.niaid.nih.gov
    • +2more
    Updated Jun 21, 2019
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    Viral N. Shah; Stephanie N. DuBose; Zoey Li; Roy W. Beck; Anne L. Peters; Ruth S. Weinstock; Davida Kruger; Michael Tansey; David Sparling; Stephanie Woerner; Francesco Vendrame; Richard Bergenstal; William V. Tamborlane; Sara E. Watson; Jennifer Sherr (2019). Data from: Continuous glucose monitoring profiles in healthy non-diabetic participants: a multicenter prospective study [Dataset]. http://doi.org/10.5061/dryad.h7d11cd
    Explore at:
    Dataset updated
    Jun 21, 2019
    Authors
    Viral N. Shah; Stephanie N. DuBose; Zoey Li; Roy W. Beck; Anne L. Peters; Ruth S. Weinstock; Davida Kruger; Michael Tansey; David Sparling; Stephanie Woerner; Francesco Vendrame; Richard Bergenstal; William V. Tamborlane; Sara E. Watson; Jennifer Sherr
    Description

    Context: Use of continuous glucose monitoring (CGM) is increasing for insulin-requiring patients with diabetes. While data on glycemic profiles of healthy, non-diabetic individuals exists for older sensors, assessment of glycemic metrics with new generation CGM devices is lacking. Objective: To establish reference sensor glucose ranges in healthy, non-diabetic individuals across different age groups, using a current generation CGM sensor. Design: Multicenter, prospective study. Setting: 12 centers within the T1D Exchange Clinic Network. Patients or Participants: Non-pregnant, healthy, non-diabetic children and adults (age ≥6 years); with non-obese body mass index. Intervention: A blinded Dexcom G6 CGM, with once daily calibration, was worn for up to 10 days in each participant. Main Outcome Measure: CGM metrics of mean glucose, hyperglycemia, hypoglycemia, and glycemic variability. Results: 153 participants (age 7-80 years) were included in the analyses. Mean average glucose was 98-99 mg/dL (5.4-5.5 mmol/L) for all age groups except those over 60 years in whom mean average glucose was 104 mg/dL (5.8 mmol/L). The median % time between 70-140 mg/dL (3.9-7.8 mmol/L) was 96% (IQR 93%-98%). Mean within-individual coefficient of variation (CV) was 17±3%. Median time spent with glucose levels >140mg/dL was 2.1% (30 min/day) and <70 mg/dL (3.9 mmol/L) was 1.1% (15 min/day). Conclusion: By assessing across age groups in a healthy, non-diabetic population, normative sensor glucose data have been derived, and will be useful as a benchmark for future research studies. Online Supplemental Material

  16. U

    United States Imports: cif: Cane Molasses From Extraction or Refining of...

    • ceicdata.com
    Updated Feb 10, 2022
    + more versions
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    CEICdata.com (2022). United States Imports: cif: Cane Molasses From Extraction or Refining of Sugar [Dataset]. https://www.ceicdata.com/en/united-states/imports-by-commodity-6-digit-hs-code-hs-16-to-29/imports-cif-cane-molasses-from-extraction-or-refining-of-sugar
    Explore at:
    Dataset updated
    Feb 10, 2022
    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Description

    United States Imports: cif: Cane Molasses From Extraction or Refining of Sugar data was reported at 23.507 USD mn in Jan 2025. This records an increase from the previous number of 8.231 USD mn for Dec 2024. United States Imports: cif: Cane Molasses From Extraction or Refining of Sugar data is updated monthly, averaging 10.786 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 45.590 USD mn in Apr 2023 and a record low of 1.253 USD mn in May 2010. United States Imports: cif: Cane Molasses From Extraction or Refining of Sugar data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA131: Imports: by Commodity: 6 Digit HS Code: HS 16 to 29.

  17. N

    Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Sugar...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Sugar Bush Knolls, OH Household Incomes Across 16 Income Brackets // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/sugar-bush-knolls-oh-median-household-income-by-age/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 25, 2025
    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
    Sugar Bush Knolls, Ohio
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Sugar Bush Knolls: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 32(29.63%) households with a householder aged between 25 and 44 years, 36(33.33%) households with a householder aged between 45 and 64 years, and 40(37.04%) households where the householder is over 65 years old.
    • In Sugar Bush Knolls, the age group of 65 years and over stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    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 Sugar Bush Knolls median household income by age. You can refer the same here

  18. N

    Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Sugar...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Sugar Notch, PA Household Incomes Across 16 Income Brackets // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/f370f49b-f353-11ef-8577-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 25, 2025
    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
    Sugar Notch, Pennsylvania
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Sugar Notch: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 21(5.32%) households where the householder is under 25 years old, 110(27.85%) households with a householder aged between 25 and 44 years, 163(41.27%) households with a householder aged between 45 and 64 years, and 101(25.57%) households where the householder is over 65 years old.
    • In Sugar Notch, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    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 Sugar Notch median household income by age. You can refer the same here

  19. I

    Indonesia Average Retail Price: Sugar: Traditional Market: Riau: Pekanbaru...

    • ceicdata.com
    Updated Jun 16, 2020
    + more versions
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    CEICdata.com (2020). Indonesia Average Retail Price: Sugar: Traditional Market: Riau: Pekanbaru Municipality: Dupa Market [Dataset]. https://www.ceicdata.com/en/indonesia/average-retail-price-traditional-market-by-regions-sugar
    Explore at:
    Dataset updated
    Jun 16, 2020
    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 12, 2025 - Mar 27, 2025
    Area covered
    Indonesia
    Variables measured
    Domestic Trade Price
    Description

    Average Retail Price: Sugar: Traditional Market: Riau: Pekanbaru Municipality: Dupa Market data was reported at 18,000.000 IDR/kg in 16 May 2025. This stayed constant from the previous number of 18,000.000 IDR/kg for 15 May 2025. Average Retail Price: Sugar: Traditional Market: Riau: Pekanbaru Municipality: Dupa Market data is updated daily, averaging 13,250.000 IDR/kg from Jul 2017 (Median) to 16 May 2025, with 1923 observations. The data reached an all-time high of 18,000.000 IDR/kg in 16 May 2025 and a record low of 11,500.000 IDR/kg in 11 Dec 2018. Average Retail Price: Sugar: Traditional Market: Riau: Pekanbaru Municipality: Dupa Market data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Prices – Table ID.PB029: Average Retail Price: Traditional Market: By Regions: Sugar. [COVID-19-IMPACT]

  20. Population aged 16 and over according to frequency of revision of the sugar...

    • data.europa.eu
    unknown
    Updated Oct 14, 2016
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    Instituto Canario de Estadística (2016). Population aged 16 and over according to frequency of revision of the sugar level by Canary Islands. 2015 [Dataset]. https://data.europa.eu/data/datasets/https-datos-canarias-es-catalogos-estadisticas-dataset-poblacion-de-16-y-mas-anos-segun-frecuencia-de-revision-del-nivel-de-azucar-por-islas-2015/embed
    Explore at:
    unknown(2906), unknown(4859), unknown(4440)Available download formats
    Dataset updated
    Oct 14, 2016
    Dataset provided by
    Authors
    Instituto Canario de Estadística
    License

    http://www.gobiernodecanarias.org/istac/aviso_legal.htmlhttp://www.gobiernodecanarias.org/istac/aviso_legal.html

    Area covered
    Canary Islands
    Description

    Population aged 16 and over according to frequency of revision of the sugar level by islands. 2015.

Share
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Email
Click to copy link
Link copied
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(2025). Global price of Sugar, No. 16, US [Dataset]. https://fred.stlouisfed.org/series/PSUGAUSAUSDM

Global price of Sugar, No. 16, US

PSUGAUSAUSDM

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 26, 2025
License

https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

Area covered
United States
Description

Graph and download economic data for Global price of Sugar, No. 16, US (PSUGAUSAUSDM) from Jan 1990 to May 2025 about sugar, World, and price.

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