78 datasets found
  1. U.S. baby food dollar sales 2012-2013

    • statista.com
    Updated Dec 16, 2013
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    Statista (2013). U.S. baby food dollar sales 2012-2013 [Dataset]. https://www.statista.com/statistics/249505/us-baby-food-market-sales-value-by-category/
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    Dataset updated
    Dec 16, 2013
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2013
    Area covered
    United States
    Description

    This timeline presents the baby food dollar sales in the United States in 2012 and 2013. U.S. baby food sales generated ******* million U.S. dollars in 2013. Dollar sales grew by *** percent compared to the previous sales year.

  2. d

    Maryland Total Personal Income (Thousands of Constant 2023 Dollars):...

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Nov 22, 2025
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    opendata.maryland.gov (2025). Maryland Total Personal Income (Thousands of Constant 2023 Dollars): 2013-2023 [Dataset]. https://catalog.data.gov/dataset/maryland-total-personal-income-thousands-of-constant-2012-dollars-2010-2018
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    Dataset updated
    Nov 22, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Maryland Total Personal Income in thousands of Constant 2023 Dollars from 2013 to 2023. Source Data from U.S Bureau of Economic Analysis (Table CAINC5N), December 2023. Note: Discontinued statistical product and table due to budget and resource constraints.

  3. p

    USD/INR Daily Rates - 2013

    • poundsterlinglive.com
    Updated Dec 31, 2013
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    Pound Sterling Live (2013). USD/INR Daily Rates - 2013 [Dataset]. https://www.poundsterlinglive.com/history/USD-INR-2013
    Explore at:
    Dataset updated
    Dec 31, 2013
    Dataset authored and provided by
    Pound Sterling Live
    License

    https://www.poundsterlinglive.com/licensehttps://www.poundsterlinglive.com/license

    Time period covered
    Jan 1, 2013 - Dec 31, 2013
    Variables measured
    Low, Mid, High, Open, Close
    Measurement technique
    Daily OHLC + mid derived from market data
    Description

    Daily USD to INR open, high, low, close and mid rates for the calendar year 2013.

  4. U.S. energy shot dollar sales 2013-2022

    • statista.com
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    Statista, U.S. energy shot dollar sales 2013-2022 [Dataset]. https://www.statista.com/statistics/323354/us-energy-shot-dollar-sales/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Sales of energy shots have gradually decreased year-on-year in the United States. For the 52 weeks ending May 15, 2022, the U.S. energy shot category generated sales amounting to around *** million U.S. dollars, up from over *** million U.S. dollars in the previous year.

  5. North America: retail snack dollar sales 2013-2014

    • statista.com
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    Statista, North America: retail snack dollar sales 2013-2014 [Dataset]. https://www.statista.com/statistics/367794/north-america-retail-snack-dollar-sales/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North America
    Description

    This statistic illustrates retail snack dollar sales in North America in 2013 and 2014. The snacking category generated sales amounting to 124 billion U.S. dollars in North American retail in 2014. Salty snacks brought in the highest sales share of the total category.

  6. d

    Maryland Per Capita Personal Income (Current Dollars): 2013-2023

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Sep 27, 2025
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    opendata.maryland.gov (2025). Maryland Per Capita Personal Income (Current Dollars): 2013-2023 [Dataset]. https://catalog.data.gov/dataset/maryland-per-capita-personal-income-current-dollars-2010-2018
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    Dataset updated
    Sep 27, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Maryland Per Capita Personal Income (Current Dollars) from 2013-2023. Source U.S. Bureau of Economic Analysis (BEA), December 2023.

  7. Global print and e-book revenue 2013-2018, by type

    • statista.com
    Updated Jun 4, 2014
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    Statista (2014). Global print and e-book revenue 2013-2018, by type [Dataset]. https://www.statista.com/statistics/304243/global-print-and-e-book-revenue-by-type-consumer-educational-professional/
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    Dataset updated
    Jun 4, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2013
    Area covered
    Worldwide
    Description

    This statistic displays data on consumer, educational, and professional book and e-book publishing revenue worldwide in 2013 as well as a forecast for those figures in 2018, broken down by platform and type. According to PwC, consumer e-book revenue is projected to grow from *** billion U.S. dollars in 2013 to **** billion U.S. dollars in 2018.

  8. p

    USD/ETB Daily Rates - 2013

    • poundsterlinglive.com
    Updated Dec 31, 2013
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    Pound Sterling Live (2013). USD/ETB Daily Rates - 2013 [Dataset]. https://www.poundsterlinglive.com/history/USD-ETB-2013
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    Dataset updated
    Dec 31, 2013
    Dataset authored and provided by
    Pound Sterling Live
    License

    https://www.poundsterlinglive.com/licensehttps://www.poundsterlinglive.com/license

    Time period covered
    Jan 1, 2013 - Dec 31, 2013
    Variables measured
    Low, Mid, High, Open, Close
    Measurement technique
    Daily OHLC + mid derived from market data
    Description

    Daily USD to ETB open, high, low, close and mid rates for the calendar year 2013.

  9. FY 2013 First Quarter High-Dollar Overpayments Report

    • catalog.data.gov
    • datahub.va.gov
    • +1more
    Updated Sep 10, 2025
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    Department of Veterans Affairs (2025). FY 2013 First Quarter High-Dollar Overpayments Report [Dataset]. https://catalog.data.gov/dataset/fy-2013-first-quarter-high-dollar-overpayments-report
    Explore at:
    Dataset updated
    Sep 10, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    FY 2013 First Quarter High-Dollar Overpayments Report

  10. d

    Maryland Total Personal Income (Thousands of Current Dollars): 2013-2023

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Oct 11, 2025
    + more versions
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    opendata.maryland.gov (2025). Maryland Total Personal Income (Thousands of Current Dollars): 2013-2023 [Dataset]. https://catalog.data.gov/dataset/maryland-total-personal-income-thousands-of-current-dollars-2010-2018
    Explore at:
    Dataset updated
    Oct 11, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Maryland Total Personal Income (thousands of current dollars) from 2013 to 2023. Based on Data from U.S. Bureau of Economic Analysis.

  11. p

    USD/NPR Daily Rates - 2013

    • poundsterlinglive.com
    Updated Dec 31, 2013
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    Pound Sterling Live (2013). USD/NPR Daily Rates - 2013 [Dataset]. https://www.poundsterlinglive.com/history/USD-NPR-2013
    Explore at:
    Dataset updated
    Dec 31, 2013
    Dataset authored and provided by
    Pound Sterling Live
    License

    https://www.poundsterlinglive.com/licensehttps://www.poundsterlinglive.com/license

    Time period covered
    Jan 1, 2013 - Dec 31, 2013
    Variables measured
    Low, Mid, High, Open, Close
    Measurement technique
    Daily OHLC + mid derived from market data
    Description

    Daily USD to NPR open, high, low, close and mid rates for the calendar year 2013.

  12. Advertising spending in Latin America in 2013-2028, by type

    • statista.com
    Updated Feb 21, 2025
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    Statista (2025). Advertising spending in Latin America in 2013-2028, by type [Dataset]. https://www.statista.com/statistics/257388/media-entertainment-spending-in-latin-america-by-sector/
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    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America
    Description

    The source forecast that, in 2028, mobile advertising spending in Latin America will exceed ** billion U.S. dollars, up from *** million dollars in 2013 – a projected increase of over two thousand percent over the course of 15 years. Traditional and non-mobile digital ad revenues were expected to rise by approximately ** and *** percent to **** billion and *** billion dollars, respectively. According to the same study, digital advertising's share in Latin America's total ad revenues will surpass ** percent in 2025.

  13. Growth in dollar sales of confectionery U.S. 2013-2018

    • statista.com
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    Statista, Growth in dollar sales of confectionery U.S. 2013-2018 [Dataset]. https://www.statista.com/statistics/1113058/confectionery-dollar-sales-growth-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic depicts dollar sales growth of confectionery in the United States from 2013 to 2018. In 2018, dollar sales of confectionery grew by *** percent, a decrease from *** percent growth in the previous year.

  14. Advertising spending of the U.S. government 2013, by medium

    • statista.com
    Updated Jun 23, 2014
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    Statista (2014). Advertising spending of the U.S. government 2013, by medium [Dataset]. https://www.statista.com/statistics/192210/us-ad-spending-of-the-us-government/
    Explore at:
    Dataset updated
    Jun 23, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2013
    Area covered
    United States
    Description

    This statistic contains a breakdown of the advertising expenditure of the U.S. government in 2013. The U.S. Government spent **** million U.S. dollars on internet advertising in the U.S. Advertising - additional informationThe range of advertisements has increased in the past several years dramatically, especially with more ways to reach consumers. Whether it is through smartphones or online streaming services, companies have a higher chance of profiting from advertisements and thus are more likely to pay more money more often in order to put an advertisement out on the market. Therefore, the advertising market has slowly been growing year over year, with a continued increase in advertising spending. In 2013, global advertising spending grew by approximately four percent and is expected to grow to roughly six percent by 2016.

    Additionally, the surging use of technology has also slowly made digital advertisements more enticing than advertisements in newspapers or on posters. Digital advertising spending worldwide was an estimated ***** billion U.S. dollars in 2013, a figure that is expected to continue to increase every year, even reaching almost double its value in 2018.

    The types of brands that are advertised are also rather obvious. In the United States in 2013, by far the most advertised brand was AT&T, a cellular company, with over *** billion U.S. dollars spent on advertising. Following AT&T is Verizon, also a cellular company. All other brands are typically related to automobiles, consumer technology (such as phones) and wholesale stores.

  15. Average planned U.S. Mother's Day expenditure by category 2013-2025

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). Average planned U.S. Mother's Day expenditure by category 2013-2025 [Dataset]. https://www.statista.com/statistics/289511/average-us-mother-s-day-expenditure-by-category/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 31, 2025 - Apr 7, 2025
    Area covered
    United States
    Description

    The statistic presents the average planned expenditure per person on Mother's Day gifts in the United States from 2013 to 2025, by category. In 2025, U.S. consumers spent, on average, some ***U.S. dollars on jewelry for Mother's Day.

  16. FY 2013 Second Quarter High-Dollar Overpayments Report

    • catalog.data.gov
    • datahub.va.gov
    • +2more
    Updated Aug 2, 2025
    + more versions
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    Department of Veterans Affairs (2025). FY 2013 Second Quarter High-Dollar Overpayments Report [Dataset]. https://catalog.data.gov/dataset/fy-2013-second-quarter-high-dollar-overpayments-report
    Explore at:
    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    FY 2013 Second Quarter High-Dollar Overpayments Report

  17. p

    USD/PKR Daily Rates - 2013

    • poundsterlinglive.com
    Updated Dec 31, 2013
    + more versions
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    Pound Sterling Live (2013). USD/PKR Daily Rates - 2013 [Dataset]. https://www.poundsterlinglive.com/history/USD-PKR-2013
    Explore at:
    Dataset updated
    Dec 31, 2013
    Dataset authored and provided by
    Pound Sterling Live
    License

    https://www.poundsterlinglive.com/licensehttps://www.poundsterlinglive.com/license

    Time period covered
    Jan 1, 2013 - Dec 31, 2013
    Variables measured
    Low, Mid, High, Open, Close
    Measurement technique
    Daily OHLC + mid derived from market data
    Description

    Daily USD to PKR open, high, low, close and mid rates for the calendar year 2013.

  18. p

    USD/EUR Daily Rates - 2013

    • poundsterlinglive.com
    Updated Dec 31, 2013
    + more versions
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    Pound Sterling Live (2013). USD/EUR Daily Rates - 2013 [Dataset]. https://www.poundsterlinglive.com/history/USD-EUR-2013
    Explore at:
    Dataset updated
    Dec 31, 2013
    Dataset authored and provided by
    Pound Sterling Live
    License

    https://www.poundsterlinglive.com/licensehttps://www.poundsterlinglive.com/license

    Time period covered
    Jan 1, 2013 - Dec 31, 2013
    Variables measured
    Low, Mid, High, Open, Close
    Measurement technique
    Daily OHLC + mid derived from market data
    Description

    Daily USD to EUR open, high, low, close and mid rates for the calendar year 2013.

  19. N

    Bucks County, PA median household income breakdown by race betwen 2013 and...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
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    Neilsberg Research (2025). Bucks County, PA median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed090f5f-f665-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 1, 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
    Bucks County, Pennsylvania
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data from 2013 to 2023. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. 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 median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Bucks County. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In Bucks County, the median household income for the households where the householder is White increased by $11,299(11.12%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $101,602 in 2013 and $112,901 in 2023.
    • Black or African American: In Bucks County, the median household income for the households where the householder is Black or African American increased by $9,059(15.54%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $58,308 in 2013 and $67,367 in 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    Content

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

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Bucks County.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

    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 Bucks County median household income by race. You can refer the same here

  20. p

    USD/PHP Daily Rates - 2013

    • poundsterlinglive.com
    Updated Dec 31, 2013
    + more versions
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    Pound Sterling Live (2013). USD/PHP Daily Rates - 2013 [Dataset]. https://www.poundsterlinglive.com/history/USD-PHP-2013
    Explore at:
    Dataset updated
    Dec 31, 2013
    Dataset authored and provided by
    Pound Sterling Live
    License

    https://www.poundsterlinglive.com/licensehttps://www.poundsterlinglive.com/license

    Time period covered
    Jan 1, 2013 - Dec 31, 2013
    Variables measured
    Low, Mid, High, Open, Close
    Measurement technique
    Daily OHLC + mid derived from market data
    Description

    Daily USD to PHP open, high, low, close and mid rates for the calendar year 2013.

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Statista (2013). U.S. baby food dollar sales 2012-2013 [Dataset]. https://www.statista.com/statistics/249505/us-baby-food-market-sales-value-by-category/
Organization logo

U.S. baby food dollar sales 2012-2013

Explore at:
Dataset updated
Dec 16, 2013
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2013
Area covered
United States
Description

This timeline presents the baby food dollar sales in the United States in 2012 and 2013. U.S. baby food sales generated ******* million U.S. dollars in 2013. Dollar sales grew by *** percent compared to the previous sales year.

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