Consider four reals $x=\frac{a}{b},y=\frac{c}{d},z,w$ with $z,w$ irrational and $b<d$ (with the fractions in lowest terms). There is some sense in which the rationals are less dense at $x$ than at $y$, less dense at $y$ than at $z$ and (I think) about equally dense at $z$ and $w.$
Here is a picture of Ford Circles. A circle of radius $\frac1{q^2}$ tangent to the $x$ axis at $(\frac{p}q,0)$
It appears that the smaller $q$ is, the more other fractions are pushed away. It is not hard to see why that would be. For $x=\frac12$ and $q \gt 2$ even, the closest approximation is not in lowest terms. The next two closest are at distance $\frac1q$ (of course) SO they don't get counted until that is less than $\varepsilon.$ However, once that does start happening, both are in lowest terms. That perhaps explains the catching up. The case of odd $q$ is similar, to an extent.
Let $f(x,\varepsilon,N)$ be the number of rationals $\frac{p}{q}$ in lowest terms so that $q \leq N$ and $|x-\frac{p}{q}| \lt \varepsilon.$
Then one might want to say that the rationals are denser near $s$ than near $r$ if $F(r,\varepsilon,N) \lt f(s,\varepsilon,N)$ for all $\varepsilon,N.$ That won't quite work. If we fix $N$ and let $\varepsilon$ decrease to $0$ then eventually $f(x,\varepsilon,N)=0.$ If we fix $\varepsilon \gt 0$ and let $N$ grow then the counts start to differ by very little $f(r,\varepsilon,N)\sim f(s,\varepsilon,N).$ So the "right" definition should have $N$ grow as $\varepsilon$ decreases. Maybe something like $$\lim \frac{f(s,\frac1{N^2},N)}{f(r,\frac1{N^2},N)} \gt 1$$ would be a good model for "denser at $s$ than at $r$."
Here is a table that uses $\varepsilon=\frac1{2000}.$
The first column is $N.$ The second is $f(x,\frac1{2000},N)$ for $[1,\frac12,\frac13,\frac15]$ and the fourth is $f(x,\frac1{2000},N)$ for $[e,\gamma,\pi,\tau]$ where $\gamma=0.5772\dots$ is Euler's gamma and $\tau=\frac{1+\sqrt{5}}2$ is the golden ratio.
In columns three and five are the quadruple to the left scaled by the first entry.
$ \begin {array}{ccccc} & [1,\frac12,\frac13,\frac15]&&[e,\gamma,\pi,\tau] \\500&[1,1,1,41]&[ 1.0, 1.0, 1.0, 41.0]&[
76,78,75,76]&[ 1.0, 1.0263158, 0.98684211, 1.0]\\
1000&[1,1,224,281]&[ 1.0, 1.0, 224.0, 281.0]&[303,306,294,305]&[ 1.0,
1.0099010, 0.97029703, 1.0066007]\\ 1500&[1,501,612
,661]&[ 1.0, 501.0, 612.0, 661.0]&[683,686,679,684]&[ 1.0, 1.0043924,
0.99414348, 1.0014641]\\ 2000&[3,1003,1113,1176]&[
1.0, 334.33333, 371.0, 392.0]&[1220,1220,1209,1215]&[ 1.0, 1.0,
0.99098361, 0.99590164]\\ 2500&[1003,1753,1834,1883
]&[ 1.0, 1.7477567, 1.8285145, 1.8773679]&[1898,1900,1900,1900]&[ 1.0,
1.0010537, 1.0010537, 1.0010537]\\ 3000&[2003,2503,
2668,2712]&[ 1.0, 1.2496256, 1.3320020, 1.3539690]&[2738,2738,2732,
2732]&[ 1.0, 1.0, 0.99780862, 0.99780862]\\ 3500&[
3003,3587,3646,3703]&[ 1.0, 1.1944722, 1.2141192, 1.2331002]&[3731,
3724,3715,3722]&[ 1.0, 0.99812383, 0.99571161, 0.99758778]
\\ 4000&[4003,4669,4800,4840]&[ 1.0, 1.1663752,
1.1991007, 1.2090932]&[4864,4861,4864,4865]&[ 1.0, 0.99938322, 1.0,
1.0002056]\\ 4500&[5503,6003,6068,6122]&[ 1.0,
1.0908595, 1.1026713, 1.1124841]&[6157,6159,6150,6157]&[ 1.0,
1.0003248, 0.99886308, 1.0]\\ 5000&[7003,7337,7526,
7576]&[ 1.0, 1.0476938, 1.0746823, 1.0818221]&[7605,7601,7593,7600]&[
1.0, 0.99947403, 0.99842209, 0.99934254]\\ 5500&[
8503,9069,9132,9179]&[ 1.0, 1.0665647, 1.0739739, 1.0795014]&[9199,
9198,9188,9189]&[ 1.0, 0.99989129, 0.99880422, 0.99891293]
\\ 6000&[10003,10803,10852,10925]&[ 1.0, 1.0799760,
1.0848745, 1.0921723]&[10941,10943,10941,10942]&[ 1.0, 1.0001828, 1.0
, 1.0000914]\\ 6500&[12171,12705,12794,12818]&[ 1.0,
1.0438748, 1.0511872, 1.0531591]&[12843,12845,12841,12847]&[ 1.0,
1.0001557, 0.99984427, 1.0003115]\\ 7000&[14337,
14603,14823,14862]&[ 1.0, 1.0185534, 1.0338983, 1.0366185]&[14894,
14902,14890,14895]&[ 1.0, 1.0005371, 0.99973144, 1.0000671]
\\ 7500&[16503,16931,17001,17059]&[ 1.0, 1.0259347,
1.0301763, 1.0336908]&[17104,17107,17089,17102]&[ 1.0, 1.0001754,
0.99912301, 0.99988307]\\ 8000&[18671,19263,19379,
19439]&[ 1.0, 1.0317069, 1.0379198, 1.0411333]&[19459,19463,19448,
19449]&[ 1.0, 1.0002056, 0.99943471, 0.99948610]\\
8500&[21337,21839,21865,21954]&[ 1.0, 1.0235272, 1.0247457, 1.0289169]
&[21965,21962,21956,21962]&[ 1.0, 0.99986342, 0.99959026, 0.99986342]
\\ 9000&[24003,24417,24559,24600]&[ 1.0, 1.0172478,
1.0231638, 1.0248719]&[24627,24617,24613,24625]&[ 1.0, 0.99959394,
0.99943152, 0.99991879]\\ 9500&[26671,27331,27407,
27417]&[ 1.0, 1.0247460, 1.0275955, 1.0279705]&[27439,27435,27431,
27436]&[ 1.0, 0.99985422, 0.99970844, 0.99989067]\\
10000&[29337,30241,30344,30357]&[ 1.0, 1.0308143, 1.0343253, 1.0347684
]&[30395,30398,30390,30398]&[ 1.0, 1.0000987, 0.99983550, 1.0000987]
\end {array}
$
Looking first at the rationals we see that by the time we get up to $N=10000$ the relative sizes differ by only about $3\%.$ The counts for $\frac12,\frac13,\frac15$ get an increasingly fast head start on those for $1.$ They stay ahead as far as shown but the lead drops both absolutely and relatively. I imagine one could explain why sometimes the count for $1$ jumps quite a bit more than that for $\frac12$ and other times it is the other way around. The particular $N$ values of $500t$ are rather arbitrary and perhaps not optimal.
The order chosen for the four irrational numbers is ad hoc. The differences in counts do not seem significant. They are all about the same and also always a bit bigger than the corresponding counts for rationals.