Oh this is incredibly helpful to read. I will def be considering assigning this and the rest of the series in my Trans Studies class this fall (if that is ok with you!!) also I’m fascinated, in the regional location of trans people chart, that there appear to be more trans adults than trans youth in the Midwest and West/Pacific, whereas in the Northeast and South it’s the opposite (more trans kids than adults)? I know it’s not the main point but I wonder why that is. Also, could you tell me where you got the data for the racial breakdown of trans people by region? I’m curious if the original has the “Other” category broken down (ofc I’m curious about the regional impacts on Native trans ppl) but I wouldn’t be surprised if it doesn’t. Thank you for doing this work!!!
Feel free to use ir for sure! As for the racial breakdown, I used the information from the Williams Institute as they provided it. They are VERY rough estimates, so take it with a grain of salt, lol. I was similarly frustrated with the way AIAN, NHPI, Asian, Arab, and multiracial all got lumped together. But also I can understand why that is if population counts in specific areas are too small to make an estimate.
hello, thank you for your work. I'm confused with your interpretation/explanation of the All Regions - All Policies Scores graph, specially where you write, "[...] and the South, whose GI score has never been higher than 0, by an astounding 13.84 points (nearly 800%)." How did you arrive at 800% and the other change percentages, as well? /gen
I just used a basic rate of change formula! The rate of change helps us understand how much a figure has changed based on a starting point. For instance, let's say that you have 2 blossoms bloom one day and 4 the next. Meanwhile, your neighbor has 8 blossoms bloom one day and 10 the next. Both of you saw 2 new blooms, but in your case, the number of blooms you had doubled. Thus, you have a higher rate of change.
Determining the rate of change can helps us understand how quickly and drastically things are changing in certain areas.
To find the rate of change, you subtract the older number from the newer number and divide it by the older number. So, with the example you mentioned, it works like this.
The South's GI Score in 2021: -1.79
The South's GI Score in 2024: -15.63
This becomes: -15.63 - (-1.79)
Subtracting a negative turns it into a case of addition, so now we have:
-15.63 + 1.79 = -13.84
Now we have to divide the value we just got by the older number. So we get:
-13.84/-1.79 = 7.73
Now we want to turn this into a percentage. To do so, we have to multiply 7.73 by 100.
7.73 × 100 = 773%
So, we get close to a nearly 800% increase. We know it’s an increase because it’s a positive number. However, because the original number was negative, we know that this is an increase of anti-trans policies.
Let's look at another example now.
In 2021, the GI Score for all 50 states was 28.00.
In 2024, it was 19.46.
Let's do what we did before again:
19.46 - 28.00 = -8.54
-8.54/19.46 = -0.439
-0.439 × 100 = -43.9%
Since it's a negative number, we can determine that the GI Score for all 50 states decreased about 44% in 3 years.
What this means is that the state governments are generally passing anti-trans policies at an alarming rate. However, the South is doing it at a breakneck speed. Southern states have seen a tremendous explosion in anti-trans policies that completely dwarves anything that has come before it. As for all 50 states as a collective, we can understand that there are generally a good number of pro-trans policies in place, but these are either being quickly repealed or new kinds of anti-trans policies are rapidly emerging.
Oh this is incredibly helpful to read. I will def be considering assigning this and the rest of the series in my Trans Studies class this fall (if that is ok with you!!) also I’m fascinated, in the regional location of trans people chart, that there appear to be more trans adults than trans youth in the Midwest and West/Pacific, whereas in the Northeast and South it’s the opposite (more trans kids than adults)? I know it’s not the main point but I wonder why that is. Also, could you tell me where you got the data for the racial breakdown of trans people by region? I’m curious if the original has the “Other” category broken down (ofc I’m curious about the regional impacts on Native trans ppl) but I wouldn’t be surprised if it doesn’t. Thank you for doing this work!!!
Feel free to use ir for sure! As for the racial breakdown, I used the information from the Williams Institute as they provided it. They are VERY rough estimates, so take it with a grain of salt, lol. I was similarly frustrated with the way AIAN, NHPI, Asian, Arab, and multiracial all got lumped together. But also I can understand why that is if population counts in specific areas are too small to make an estimate.
hello, thank you for your work. I'm confused with your interpretation/explanation of the All Regions - All Policies Scores graph, specially where you write, "[...] and the South, whose GI score has never been higher than 0, by an astounding 13.84 points (nearly 800%)." How did you arrive at 800% and the other change percentages, as well? /gen
I just used a basic rate of change formula! The rate of change helps us understand how much a figure has changed based on a starting point. For instance, let's say that you have 2 blossoms bloom one day and 4 the next. Meanwhile, your neighbor has 8 blossoms bloom one day and 10 the next. Both of you saw 2 new blooms, but in your case, the number of blooms you had doubled. Thus, you have a higher rate of change.
Determining the rate of change can helps us understand how quickly and drastically things are changing in certain areas.
To find the rate of change, you subtract the older number from the newer number and divide it by the older number. So, with the example you mentioned, it works like this.
The South's GI Score in 2021: -1.79
The South's GI Score in 2024: -15.63
This becomes: -15.63 - (-1.79)
Subtracting a negative turns it into a case of addition, so now we have:
-15.63 + 1.79 = -13.84
Now we have to divide the value we just got by the older number. So we get:
-13.84/-1.79 = 7.73
Now we want to turn this into a percentage. To do so, we have to multiply 7.73 by 100.
7.73 × 100 = 773%
So, we get close to a nearly 800% increase. We know it’s an increase because it’s a positive number. However, because the original number was negative, we know that this is an increase of anti-trans policies.
Let's look at another example now.
In 2021, the GI Score for all 50 states was 28.00.
In 2024, it was 19.46.
Let's do what we did before again:
19.46 - 28.00 = -8.54
-8.54/19.46 = -0.439
-0.439 × 100 = -43.9%
Since it's a negative number, we can determine that the GI Score for all 50 states decreased about 44% in 3 years.
What this means is that the state governments are generally passing anti-trans policies at an alarming rate. However, the South is doing it at a breakneck speed. Southern states have seen a tremendous explosion in anti-trans policies that completely dwarves anything that has come before it. As for all 50 states as a collective, we can understand that there are generally a good number of pro-trans policies in place, but these are either being quickly repealed or new kinds of anti-trans policies are rapidly emerging.
I hope that helps!