Infographic: How Many Jobs Does the Texas Dairy Industry Support?
Everyone wants a number for how many jobs dairy supports, but counting jobs is trickier than it looks. We are not publishing an infographic here, only a guide to how the numbers get made and where to check them.
Why is there no single answer?
The answer depends on what you count. Jobs on the dairy farm are the simplest. Jobs at processors, haulers, feed mills and equipment dealers add more. Jobs created when all those workers spend their pay add still more. Each study draws the line in a different place.
This page does not give a figure. If you want one, check the studies produced by Texas A&M AgriLife Extension, industry groups such as Dairy MAX and national organizations such as IDFA, and note the definitions each one uses.
For example, a milk hauler may count as a trucking job in one dataset and a dairy job in another. Neither is wrong, but the totals will not match, and that is the main reason two honest studies can differ.
What counts as a job in these studies?
A job might mean a full time position, a part time one or a full time equivalent. Family labor on a farm may or may not be counted. Seasonal and contract work may be handled differently. Read the footnotes.
Public data helps ground the claims. Employment data comes from the Bureau of Labor Statistics, farm counts from USDA NASS and the Census of Agriculture, and state economic data from the Texas Comptroller.
When a report says a job is supported by an industry, it usually means that a share of the worker's time or income depends on it. That is different from saying the job would vanish without dairy.
- Full time, part time or full time equivalent
- Family labor included or not
- Direct, indirect and induced jobs separated or combined
What are the best ways to read an infographic?
Infographics compress complex methods into one big number, so slow down. Look for the date, the source and the geography. Ask whether the figure is for the state, a region or the whole country.
A good graphic lists its source in small type. If you cannot find one, the number is a rumor with a nice layout. Do not repeat it in a hearing or a loan application.
Look at the date on the data. Employment numbers move, and a graphic built from older data may no longer reflect current conditions.
How does this look in a community like Stephenville?
In a dairy town, jobs show up in the feed store, the vet clinic, the diesel shop and the school cafeteria. A statewide total can feel abstract, but local employers know which doors would close if dairy shrank.
If you want to tell your own story, interview local suppliers and ask how much of their business comes from dairy. Record the answers carefully and ask permission before sharing names. This is a bottom up complement to the big studies.
Think about what the town would lose without dairy beyond jobs. Tax base, school enrollment, volunteer fire departments and church suppers are harder to count but just as real, and Stephenville residents will recognize the pattern.
How can you build your own simple infographic?
Pick three or four facts you can verify, such as the number of dairies in your county from public data, the number of employees on your farm, and a list of the types of local businesses that serve you. Add a source line to each one.
Keep colors and layout simple, and include the date you gathered the data. The dairy herd care guide and the rural community guide have background that helps you describe how farms and towns depend on each other.
Share your small data set with the local chamber of commerce or the county extension office, and ask them to check your wording. A second set of eyes catches overstatements before they go public.
How do you use job numbers responsibly?
Use them to start conversations, not to win arguments. A number backed by a clear source builds trust with county officials, lenders and neighbors. A number without one invites doubt.
Over at farm.FM there is plenty of dairy storytelling that adds human color, including a story on dairy and the rural economy. Explore the dairy section and the news section for more.
What are the pitfalls of jobs numbers?
Double counting is the classic mistake. If you add farm jobs, processor jobs and induced jobs without removing overlaps, you can inflate the total. Another trap is comparing a count of jobs with a count of full time equivalents.
Be skeptical of any number presented without a method. A good study explains its model, its data sources and its limits. If you cannot find those, ask the author, and if they cannot answer, move on.
Sources and further reading
- Bureau of Labor Statistics: labor and price data
- USDA NASS: agricultural statistics and surveys
- Census of Agriculture: USDA census of farms
- Texas Comptroller: state tax and economic data
- Texas A&M AgriLife Extension: Texas extension service
- Dairy MAX: dairy promotion in the Southwest
Ask locally: Ask a Texas A&M AgriLife Extension economist how local job impact studies are built.