Understanding job-to-job flows in Texas relative to education
The Education Epidemic: Understanding Job-to-Job Flows in Texas Relative to Education
Plenty of diseases come and go through society as we develop vaccines and immunities, but one epidemic that hasn’t left is the critical understaffing of educators. While infections might have a direct cause identified down to the bacterial level, the reasons for teachers leaving aren’t easy to pinpoint or solve. It is estimated that nearly 20% of teaching professions are vacant across the United States, leading to other teachers filling the gap, taking on more students, and leaving due to their stress. Even though more teachers are being hired every year, almost equal numbers of teachers leave. With less and less students studying education, where are these teachers coming from, and how qualified are they to be dealing with the students? While this problem spans the entire United States, I’ll be taking some time to focus on Texas, a primary state falling victim to a shortage of teachers with a large proportion of students to meet the needs. In this study, we’ll be taking a look at the attrition of teachers, unemployment hires, and job-to-job flow networks to comprehend where teachers are hired from and pinpoint the critical conflicts with the educational field.
To begin analyzing this topic, the job-to-job flow network from the U.S. Census Bureau was utilized. First, overall hires in the Educational Services field were observed in a job-to-job flow format, determining where new hires were coming from when being employed in the Texas education system. Then, the statistics surrounding how many of these total hires in the last few decades were from an unemployment spell were then pulled. This did not provide all of the data needed for this analysis, however, and only indicated a baseline understanding of job-to-job flows in the field and the total unemployment hires.
To intake more information regarding the Texas education system, the Texas Education Agency (TEA) website came in handy. The Texas Education Agency provides a report of the attrition–or the amount of teachers that did not return–as well as new hires in total number and a percentile since 2011. This data was indisputably important in my research as it indicated trends over time and also helped to observe the number of teachers who would not return to the field by year.
An important distinction to make in this research is that the TEA focuses on primary and secondary education, while the findings from job-to-job flows and unemployment hires take all Educational Services, such as postsecondary education. This makes comparing these values potentially inaccurate to real ratios, but still significant enough to each other to emphasize an ongoing crisis in primary and secondary educational staffing. This only amplifies the need for more data surrounding educational services to best meet the needs of students.
This data was compiled together into multiple spreadsheets, one highlighting the intake of employees to Texas, one with unemployment inflow on a national level, and an entire manually compiled sheet of data including attrition, new hires, total teachers, and total unemployment hires to Texas. To compile the network data, RStudio was used to clean and visualize the flow of hires. To observe values on a simpler scale, such as using line graphs and bar plots, the spreadsheet was integrated into Excel to create figures plotting two variables together over time.
In order to analyze the results and findings of this research, we will be putting our observations into two parts, first focusing on job-to-job network flows into Texas to get an idea of where and how teachers are being employed, and then observing short staffing via Census and TEA integration.
Understanding where the bulk of educators are coming from is an integral part of beginning the research process, as this inflow could begin to indicate where the problem sources from. Below is a general representation of the inflow of educational services occupations to Texas based on data in the third quarter of 2023.
Model 1: National Job-to-Job Flow of Educational Services into Texas 2023
Data Source: U.S. Census Bureau
When observing this set of data, it is clear that California has a high inflow to Texas. Much of the hires come from this state as well as Florida, Georgia, New Mexico, Arkansas, and New York. There does not seem to be a trend of spatial relativity to other states, as some neighboring regions have very little inflow to Texas educational services. By taking a look at this data, we can begin to get a sense of where teachers are coming from during a certain time and put this against information regarding just how many of these teachers are coming from an unemployment spell.
We will be taking time to look into unemployment as the general hires from unemployment have spiked as the crisis of teachers leaving their work field has also increased. This begins to call into question the capabilities and qualifications of educators and can begin to branch out into other forms of analysis regarding the quality of education for students and student drop-out rate, or inability to access basic education due to staffing shortages. Below is a map representing the educational services inflow to Texas in the third quarter of 2023 from an unemployment spell.
Model 2: Flow of Educational Services from Unemployment into Texas Nationally 2023
Data Source: U.S. Census Bureau
This national map scale analysis begins to paint a new picture of our data intake. While California is still highly recognized as a high-inflow state, New England has become more significant. Areas like New York, New Jersey, and Massachusetts are painted in a new light. These states have a slightly higher amount of hired employees from unemployment in Texas compared to states that are closer in proximity like Kansas, Oklahoma, and Louisiana. Observing where the hires in unemployment are sourced from along with the general job-to-job inflow to California can help single out states that are being focused on for the hiring process, indicating how much a workforce by state could impact the culture created in the educational field.
By taking this unemployment information and integrating it with statistics from the TEA, we can begin to demonstrate in more detail the extent of the short-staffing crisis in not only Texas but across the United States and potentially even globally. The line graph below indicates the trend of attritions (non-returning teachers) to new hires in primary and secondary school districts in Texas from the school years between 2011 and 2022.
Model 3: Attrition of Teachers to Teacher Hires in Texas 2011-2022
Data Source: Texas Education Agency
As the above model demonstrates, there generally was a lower trend of attritions in the educational field until recently. A small dip in the data can be seen where the COVID-19 pandemic hit (2020-2021), and then the data seems to align itself perfectly with a dramatic spike of attritions, an all-time high for the period shown that only seems to continue increasing. In fact, during the 2022-2023 school year, the numbers seem perfectly even with each other, with every new hire being met by a new attrition of an educator. This creates the assumption that the job pool is not increasing, and seeing how there are still high amounts of vacancies in teacher occupations leading to critical shortages in fields like bilinguals and special education, emphasizes that the amount of new hires simply is not enough to fill the open spots. This graphic can begin to raise questions about why these numbers have increased so much following the pandemic, and if teachers are beginning to feel unattracted to their work field ever since the massive shift into remote and technology-based education in schools.
Below is a demonstration of total hires in the educational field vs. hires from unemployment to educational services in Texas over the indicated timespan.
Model 4: Unemployed Hires to Total Hires in Educational Services to Texas 2011-2022
Data Source: U.S. Census Bureau, Texas Education Agency
This bar plot, designated by school year and indicating hires from unemployment compared to total hires in the educational services field from 2011-2022, also emphasizes the impacts of the COVID-19 epidemic on the schooling epidemic. We generally see a relatively even skew of hires from unemployment to total hires, equalling about half of total hires up until the 2019-2020 year (side note: recall that the unemployment statistics include postsecondary education while the total hires do not, so these values may not properly reflect in scale to each other, but still emphasize trends over time in educational employment). We see a large dip in the 2020-2021 school year, considered the ‘COVID’ year. Then, the hires from unemployment reach a sudden highest value, along with total hires. The proportion of unemployment hires to total hires seems more weighted towards unemployment hires after this turning point, indicating possible conflicts with sourcing teachers and a lack of educators coming straight from degree-level education or higher-level qualifications.
There is a clear trend between increasing unemployment rate hires to Texas educational systems, attrition rates, and flow trends of where educators are hired. All of this information can be compiled into an analysis of where teachers are coming from, why, and how long they remain before leaving the workforce. If I were to analyze this information again, I would want to create a better representation of unemployment data to general educational services data or limit my data pool to exclusively primary and secondary education services to provide a better description of trends in the state.
Many teachers are not satisfied with their workplace conditions, increasing misbehavior in adolescents, and local governments turning schools into political battlegrounds for personal gain. The public education system has been going through a slow-burning crisis for years, similar to diseases that spread through populations and wipe them out over time. This study does not even begin to address student impacts, such as violence in schools, pricing of education, or drop-out rates. This research should only be one stone on a path that leads its way to a better comprehension of educators and their relationships with students, their qualifications, and the needs that must be met to keep the public education system afloat. Without schools, how will children learn? Just as the world came together to swiftly join hands (six feet apart, of course) and work against the COVID-19 pandemic, we should all work to ensure the safety and well-being of teachers and students alike in schools, or we could be facing yet another pandemic through the social realm–which would be much harder to cure.