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US Farm Producer Age Category by Value of Production – Part II

Biomass Rules Posted on July 15, 2025 by Mark JennerSeptember 1, 2026

In the recent post, US Farmer Age is Inversely Related to Value of Production, average farm producer age in 2022 was 55 years of age on farms that had over $1,000,000 in annual farm production.  All 3.5 million farm producers … Continue reading →

Posted in analytics, definition, economics, farm, firm, macro, policy, production, science, wealth creation | Tagged $1000 to $9999 in sales, $10000 to $99999 in sales, 2022 Census of Agriculture, age is not a threat to value of production, farm business profit not driver of 25 percent of oldest producers., farmer age inversely related to value of production, less than $1000 in sales, Over $100000 in sales, over $100000 sales two thirds of farmers younger than 65, producer age, US farm producer age category by value of production, USDA, value of production, Volume 1 Table 72 | Leave a reply

US Farmer Age is Inversely Related to Value of Production

Biomass Rules Posted on July 13, 2025 by Mark JennerSeptember 1, 2026

Since the 2022 Census of Agriculture was released in February 2024, there has been extensive discussion about the aging of farmers and producers.  It is true.  With each successive Census – every 5 years – the average age of farmers … Continue reading →

Posted in definition, economics, education, farm, firm, policy, production, science | Tagged $1000 to $9999 in sales, $10000 to $99999 in sales, $100000 to $249999 in sales, $1000000 in sales, $250000 to $499999 in sales, $500000 to $999999 in sales, 2022 Census of Agriculture, less than $1000 in sales, less than $1000 sales average age of 60.5 years, over $100000 sales average age of 56 years, over $1M sales average age of 55 years, producer age, US farmer age is inversely related to value of production, US producer age is 58 years, USDA, value of production, Volume 1 Table 72 | 1 Reply

Energy Independence Reflections: July 4, 2025

Biomass Rules Posted on July 8, 2025 by Mark JennerSeptember 1, 2026

The Big Beautiful Bill has passed.  I am trying to keep up as best as a multi-value chain, policy-adjacent economist can.  I am a professional skeptic, and therefore, am pretty sure that regardless of the new policy, we will forge … Continue reading →

Posted in analytics, Biomass Rules, definition, economics, education, firm, macro, Making $ense of Energy, policy, Renewable Fuel, science, wealth creation | Tagged Big Beautiful Bill, Biomass Rules, choices matter, energy independence reflections, federal markets, here to stay, international markets, July 4 2025, local markets, Lower 25 states have 16 percent renewable capacity, regional markets, renewable energy is local, renewable power, trade balance across state lines, Upper 25 states have 42 percent renewable capacity, US 30 percent renewable power | Leave a reply

Great Visuals on Biogas State Production Potential from ABC

Biomass Rules Posted on June 30, 2025 by Mark JennerSeptember 1, 2026

The American Biogas Council (ABC) had made available current and potential capacity of local state-level biogases, also known as, biogenic methane and other gases produced from ambient organic feedstocks.  The ABC has been in action for less than two decades, … Continue reading →

Posted in analytics, definition, economics, education, firm, macro, policy, production, science | Tagged agricultural, American Biogas Council, biogas, biogas conversion capacity, biogenic methane, externality, food waste, great visuals on biogas state production potential from ABC, heat, internalized, landfill, market magic, natural gas, power, pulled into the economy, renewable natural gas RNG, state-level, transportation fuel, wastewater | Leave a reply

Renewable Power Capacity Differs by State – Making $ense of Energy

Biomass Rules Posted on June 25, 2025 by Mark JennerSeptember 1, 2026

On a total energy consumption basis, the United States hovers just above 10 percent that is sourced from renewable fuels; wind, solar, biomass, hydroelectric, and geothermal feedstocks.  On a recent road trip, it was clear that the Midwest States were … Continue reading →

Posted in analytics, definition, economics, macro, Making $ense of Energy, policy, production, science, wealth creation | Tagged 30 percent average US renewable power generation, abundant local resources, biomass, Department of Energy, Energy Information Administration (EIA), geothermal, hydropower, local consumption, local production, lower 25 states average 16 percent renewable power capacity, making sense of energy, renewable power capacity, renewable power capacity differs by state, solar, state power capacity, top 25 states average 42 percent renewable power capacity, US energy production and consumption, wind | Leave a reply

Breaking Egg News: Below $3.00/dozen – Real Adventures in Economics

Biomass Rules Posted on June 23, 2025 by Mark JennerSeptember 1, 2026

In our Central Illinois community, both Kroger and Walmart are selling eggs below $3.00/dozen.  It is difficult to believe that this is news.  However in 2025, the retail price of a dozen eggs was high enough to drive the nation’s … Continue reading →

Posted in definition, economics, education, macro, policy, Real Adventures in Economics | Tagged $2 per pound, $2.69 per dozen, below $3.00 per dozen, breaking egg news, good economic news, great value, Kroger Ruler, loss leader for grocery, one sample without statistics, real adventures in economics, retail eggs price complex | Leave a reply

Excel Data Shaping Fundamentals File Prep – What the Function

Biomass Rules Posted on May 22, 2025 by Mark JennerSeptember 1, 2026

The last few months have provided opportunity to flex my spreadsheet skillset.  Excel code and technique seemed to erupt through the keyboard.  In the last few months, diverse datasets have included: 2024 household food expenditures 2024 household power consumption and … Continue reading →

Posted in analytics, definition, economics, macro, policy, science, What the Function | Tagged Bureau of Labor and Statistics (BLS), clean data, Consumer Price Index (CPI), CPI-U, cut and pasting, download file, empowering data skills for skeptics, Excel data shaping fundamentals, file prep, INDEX/MATCH() function, US City Average not seasonally adjusted, VLOOKUP() function, what the function | 4 Replies

Selecting Meaningful Labels for 130,000 Data Points – What the Function

Biomass Rules Posted on May 7, 2025 by Mark JennerSeptember 1, 2026

A year contains half a million minutes.  The residential solar panel data arrived in five-minute increments, or about 20 percent of the annual minute universe.  Adding in the utility generated data, the two data sources delivered about 130,000 data points. … Continue reading →

Posted in analytics, definition, economics, firm, policy, production, science, What the Function | Tagged $ sign anchor, annual data, cell address, columns, day, files, five-minute intervals, hour, kilowatt-hour (kWh), kilowatts (kW), month, rows, selecting meaningful labels for 130000 data points, sheet address, sheets, solar panel data, watts, what the function, year | Leave a reply

Sheets Happen, …But Not Automatically – What the Function

Biomass Rules Posted on May 5, 2025 by Mark JennerSeptember 1, 2026

Excel sheets happen, but only if one knows the hidden menus upon which to click. One of the most useful Excel tricks is copying spreadsheets.  Copying and moving a sheet doesn’t show up a lot in the spreadsheet tricks that … Continue reading →

Posted in analytics, definition, education, policy, science, What the Function | Tagged backups, But Not Automatically, copying sheets, Create a copy checkbox, Excel sheets, good spreadsheet habits, Move or Copy menu, moving sheets, objects, redundancies, Sheet tab menu, Sheets Happen, To book dropdown menu., what the function, worksheets | 2 Replies

Forensic Modeling to Bridge Dataset Gaps – Making $ense of Energy

Biomass Rules Posted on May 1, 2025 by Mark JennerSeptember 1, 2026

Modeling tools are used for more than forecasting.  To complete the analysis of household energy consumption, forensic data modeling was required.  Data from two different datasets were needed, and was in slightly different formats that prohibited a smooth alignment. The … Continue reading →

Posted in analytics, definition, economics, firm, Making $ense of Energy, policy, production, science | Tagged data is powerful, daylight hours, forensic modeling to bridge dataset gaps, household power correlated to ambient temperature, important to wallow in the data, kW, kWh, Making $ense of Energy, making sense of energy, math is cheaper than technology (primary data collection), multi-source data can be combined, non-daylight hours, solar panel power, solar sales to utility, utility-provided power, weighted factors | Leave a reply

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Mark Jenner, PhD
Biomass Rules
Greenville, IL 62246
c. 618.223.9331
e. biomassrules@gmail.com

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Mission Statement:
Providing solutions through the strategic utilization of all kinds of biomass; the development of new markets for food, fiber, and fuels; and streamlining regulations.

bio·mass:
ˈbī-ō-ˌmas. noun. 1 : the unit area or volume of living matter, 2 : plant materials and animal waste used as renewable feedstocks into new processes.

rules:
'rül. 1: noun. 1 : regulations, bylaws or governing procedure, 2: verb. a : to exert control, direction, or influence on, b : to declare authoritatively.

Manure…
is not a four-letter word.

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