In May 2025, the inflation rate of corn tortillas in Mexico increased by **** percent compared to the same month of the previous year.
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Graph and download economic data for Producer Price Index by Commodity: Processed Foods and Feeds: Corn Mill Products (WPU021409082) from Dec 2009 to Aug 2025 about corn, mills, processed, food, production, commodities, PPI, inflation, price index, indexes, price, and USA.
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Graph and download economic data for Producer Price Index by Commodity: Farm Products: Corn (WPU01220205) from Jan 1947 to Aug 2025 about corn, vegetables, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.
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Corn rose to 422.68 USd/BU on September 23, 2025, up 0.22% from the previous day. Over the past month, Corn's price has risen 8.59%, and is up 2.65% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on September of 2025.
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Brazil Inflation Nowcast: Contribution: Commodity Prices: Corn Indicator: CEPEA/B3: BRL data was reported at 0.398 % in 12 May 2025. This records a decrease from the previous number of 2.937 % for 05 May 2025. Brazil Inflation Nowcast: Contribution: Commodity Prices: Corn Indicator: CEPEA/B3: BRL data is updated weekly, averaging 0.669 % from Jun 2016 (Median) to 12 May 2025, with 465 observations. The data reached an all-time high of 28.812 % in 27 Feb 2017 and a record low of 0.000 % in 31 Jan 2022. Brazil Inflation Nowcast: Contribution: Commodity Prices: Corn Indicator: CEPEA/B3: BRL data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Brazil – Table BR.CEIC.NC: CEIC Nowcast: Inflation: Headline.
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Context
The dataset illustrates the median household income in Corn, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.
Key observations:
From 2010 to 2023, the median household income for Corn increased by $446 (0.80%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.
Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.
Years for which data is available:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Corn median household income. You can refer the same here
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Indonesia Inflation Nowcast: Contribution: Commodity Prices: Bappebti: Corn: Spot: Lampung data was reported at 1.847 % in 12 May 2025. This records an increase from the previous number of 0.000 % for 05 May 2025. Indonesia Inflation Nowcast: Contribution: Commodity Prices: Bappebti: Corn: Spot: Lampung data is updated weekly, averaging 0.000 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 34.538 % in 22 Feb 2021 and a record low of 0.000 % in 05 May 2025. Indonesia Inflation Nowcast: Contribution: Commodity Prices: Bappebti: Corn: Spot: Lampung data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Indonesia – Table ID.CEIC.NC: CEIC Nowcast: Inflation: Headline.
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United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Corn Futures: CME: Settlement Price: 1st Month data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Corn Futures: CME: Settlement Price: 1st Month data is updated weekly, averaging 0.000 % from Apr 2019 (Median) to 12 May 2025, with 320 observations. The data reached an all-time high of 37.812 % in 19 Oct 2020 and a record low of 0.000 % in 12 May 2025. United States PCE Inflation Nowcast: sa: Contribution: Commodity Prices: Corn Futures: CME: Settlement Price: 1st Month data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Personal Consumption Expenditure (PCE) Inflation: Headline.
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Graph and download economic data for Producer Price Index by Commodity: Farm Products: Sweet Corn (WPU01130214) from Jan 1960 to Jun 2025 about corn, vegetables, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.
In March 2025, the Consumer Price Index (CPI) of corn tortillas in Mexico stood at ****** points. This represents an increase of *** percent compared to the same month of the previous year.
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Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Corn. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Corn. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2022
In terms of income distribution across age cohorts, in Corn, householders within the 45 to 64 years age group have the highest median household income at $63,777, followed by those in the 25 to 44 years age group with an income of $60,306. Meanwhile householders within the under 25 years age group report the second lowest median household income of $45,555. Notably, householders within the 65 years and over age group, had the lowest median household income at $42,517.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Age groups classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Corn median household income by age. You can refer the same here
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Graph and download economic data for Producer Price Index by Industry: Other Snack Food Manufacturing: Corn Chips and Related Products (PCU3119193119194) from Dec 1985 to Aug 2025 about corn, food, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.
Mexico's food inflation rate saw an increase of 4.86 percent in May 2025 compared to the same month the previous year. This uptick in food prices continues to impact Mexican households, with the food sector consistently ranking among the categories with the highest inflation rates in the country. The volatility in food prices highlights the ongoing challenges in maintaining stable costs for essential goods in Mexico's economy. Consumer price index trends The Consumer Price Index (CPI) for food in Mexico reached 159.12 in November 2024, up from 150.08 in the same month of the previous year. This increase aligns with the overall inflation trend, as the National Consumer Price Index stood at 136 index points in July 2024. Notably, the food, beverages, and tobacco category had the highest CPI, underscoring the significant impact of food prices on overall inflation. Cereal and cereal product trends Within the food category, different items experienced varying levels of inflation. In November 2024, cereals and cereal based products saw a three percent increase compared to the previous year, while rice prices grew by 8.33 percent. Interestingly, corn tortillas, a staple in Mexican cuisine, experienced a more modest inflation rate of one percent.
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Context
The dataset presents the median household income across different racial categories in Corn. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Corn population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 79.04% of the total residents in Corn. Notably, the median household income for White households is $55,529. Interestingly, despite the White population being the most populous, it is worth noting that American Indian and Alaska Native households actually reports the highest median household income, with a median income of $66,875. This reveals that, while Whites may be the most numerous in Corn, American Indian and Alaska Native households experience greater economic prosperity in terms of median household income.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Corn median household income by race. You can refer the same here
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Liaoning: Production Price Index: AP: Corn data was reported at 81.600 Prev Year=100 in Mar 2025. This records an increase from the previous number of 80.700 Prev Year=100 for Dec 2024. Liaoning: Production Price Index: AP: Corn data is updated quarterly, averaging 105.350 Prev Year=100 from Mar 2004 (Median) to Mar 2025, with 82 observations. The data reached an all-time high of 151.600 Prev Year=100 in Mar 2021 and a record low of 68.100 Prev Year=100 in Mar 2017. Liaoning: Production Price Index: AP: Corn data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IC: Agricultural Price Index: Liaoning.
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The Corn, Wheat and Soybean Wholesaling industry has maneuvered through a challenging environment shaped by the COVID-19 pandemic and geopolitical tensions. The industry faced disruptions early on as supply chains and distribution networks were impacted. Yet, demand for essential grains like corn, wheat and soybeans stayed stable, cushioning revenue levels despite the upheaval. Demand surged as the sector began recovering from the pandemic, exerting pressure on supplies and driving price inflation for key grains like corn. The conflict in Ukraine added another layer of complexity, sharply constraining wheat supplies and complicating operational dynamics. Even so, governmental interventions, particularly through subsidies for biofuels using corn and soybean oils, provided a revenue boost, partially mitigating wider economic challenges. Overall, industry revenue is projected to climb at an annualized rate of 1.0% to $217.8 billion over the five years to 2024, although a 12.9% dip is expected in 2024. Evolving consumer preferences, most notably the shift towards low-carbohydrate diets, have led to a decreased demand for wheat, altering its market position and reducing profit for wholesalers. However, wholesalers have seen a boon from the rising demand for plant-based foods, which has spurred an increased need for soybeans. Navigating these shifts while concurrently managing rising costs and changing consumer behaviors has become crucial for wholesalers aiming to succeed in the competitive market. Despite the anticipated challenges that the industry faced, its adaptability and resilience were evident. These qualities will endure, allowing it to navigate through market complexities effectively. Moving forward, the Corn, Wheat and Soybean Wholesaling industry is projected to see a modest annualized revenue increase of 0.2% over the next five years, reaching $212.5 billion by 2029.
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This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
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Jilin: Production Price Index: AP: Corn data was reported at 85.400 Prev Year=100 in Mar 2025. This records an increase from the previous number of 80.700 Prev Year=100 for Dec 2024. Jilin: Production Price Index: AP: Corn data is updated quarterly, averaging 104.800 Prev Year=100 from Mar 2004 (Median) to Mar 2025, with 85 observations. The data reached an all-time high of 151.000 Prev Year=100 in Mar 2021 and a record low of 65.100 Prev Year=100 in Mar 2017. Jilin: Production Price Index: AP: Corn data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IC: Agricultural Price Index: Jilin.
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Graph and download economic data for Producer Price Index by Industry: Wet Corn Milling and Starch Manufacturing (PCU311221311221) from Jun 1985 to Aug 2025 about corn, mills, PPI, industry, inflation, price index, indexes, price, and USA.
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Guangxi: Production Price Index: AP: Corn data was reported at 88.300 Prev Year=100 in Mar 2025. This records an increase from the previous number of 77.900 Prev Year=100 for Dec 2024. Guangxi: Production Price Index: AP: Corn data is updated quarterly, averaging 104.650 Prev Year=100 from Mar 2004 (Median) to Mar 2025, with 84 observations. The data reached an all-time high of 170.000 Prev Year=100 in Mar 2021 and a record low of 76.400 Prev Year=100 in Jun 2016. Guangxi: Production Price Index: AP: Corn data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IC: Agricultural Price Index: Guangxi.
In May 2025, the inflation rate of corn tortillas in Mexico increased by **** percent compared to the same month of the previous year.