NTPsec

A-ntpsec-7-day-stats

Report generated: Wed Oct 22 06:10:59 2025 UTC
Start Time: Wed Oct 15 06:10:56 2025 UTC
End Time: Wed Oct 22 06:10:56 2025 UTC
Report published: Tue Oct 21 11:11:25 PM 2025 PDT
Report Period: 7.0 days

Local Clock Time/Frequency Offsets

local offset plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Time Offset -5.133 -2.348 -1.246 0.056 1.019 1.502 4.792 2.265 3.850 0.704 0.003 µs -4.788 15.56
Local Clock Frequency Offset -418.945 -408.768 -360.138 -233.734 -103.958 -85.770 -76.355 256.180 322.998 81.581 -231.723 ppb -68.22 308.9

The time and frequency offsets between the ntpd calculated time and the local system clock. Showing frequency offset (red, in parts per million, scale on right) and the time offset (blue, in μs, scale on left). Quick changes in time offset will lead to larger frequency offsets.

These are fields 3 (time) and 4 (frequency) from the loopstats log file.



Local RMS Time Jitter

local jitter plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Time Jitter 0.239 0.406 0.493 0.849 1.430 1.696 3.628 0.937 1.290 0.291 0.892 µs 15.75 54.63

The RMS Jitter of the local clock offset. In other words, how fast the local clock offset is changing.

Lower is better. An ideal system would be a horizontal line at 0μs.

RMS jitter is field 5 in the loopstats log file.



Local RMS Frequency Jitter

local stability plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Frequency Jitter 103.000 155.000 186.000 313.000 517.000 603.000 1,527.000 331.000 448.000 105.268 327.965 10e-12 16.89 63.37

The RMS Frequency Jitter (aka wander) of the local clock's frequency. In other words, how fast the local clock changes frequency.

Lower is better. An ideal clock would be a horizontal line at 0ppm.

RMS Frequency Jitter is field 6 in the loopstats log file.



Local Clock Time Offset Histogram

local offset histogram plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Offset -5.133 -2.348 -1.246 0.056 1.019 1.502 4.792 2.265 3.850 0.704 0.003 µs -4.788 15.56

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log file.



Local Temperatures

local temps plot

Local temperatures. These will be site-specific depending upon what temperature sensors you collect data from. Temperature changes affect the local clock crystal frequency and stability. The math of how temperature changes frequency is complex, and also depends on crystal aging. So there is no easy way to correct for it in software. This is the single most important component of frequency drift.

The Local Temperatures are from field 3 from the tempstats log file.



Local Frequency/Temp

local freq temps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -418.945 -408.768 -360.138 -233.734 -103.958 -85.770 -76.355 256.180 322.998 81.581 -231.723 ppb -68.22 308.9
Temp ZONE0 45.084 45.084 45.622 47.236 48.312 48.850 49.388 2.690 3.766 0.923 47.082 °C

The frequency offsets and temperatures. Showing frequency offset (red, in parts per million, scale on right) and the temperatures.

These are field 4 (frequency) from the loopstats log file, and field 3 from the tempstats log file.



Local GPS

local gps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
nSats 6.000 8.000 8.000 10.000 13.000 13.000 14.000 5.000 5.000 1.287 10.067 nSat 338.8 2466
TDOP 0.470 0.500 0.550 0.810 1.200 1.450 1.740 0.650 0.950 0.205 0.839 39.81 164.5

Local GPS. The Time Dilution of Precision (TDOP) is plotted in blue. The number of visible satellites (nSat) is plotted in red.

TDOP is field 3, and nSats is field 4, from the gpsd log file. The gpsd log file is created by the ntploggps program.

TDOP is a dimensionless error factor. Smaller numbers are better. TDOP ranges from 1 (ideal), 2 to 5 (good), to greater than 20 (poor). Some GNSS receivers report TDOP less than one which is theoretically impossible.



Server Offsets

peer offsets plot

The offset of all refclocks and servers. This can be useful to see if offset changes are happening in a single clock or all clocks together.

Clock Offset is field 5 in the peerstats log file.



Server Offset 162.159.200.1

peer offset 162.159.200.1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 162.159.200.1 2.414 2.672 2.918 3.894 4.925 5.046 5.364 2.007 2.375 0.521 3.910 ms 294.9 2051

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 162.159.200.123

peer offset 162.159.200.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 162.159.200.123 1.791 2.171 2.881 3.625 4.660 4.813 7.344 1.779 2.642 0.575 3.757 ms 186.2 1133

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 169.229.128.134

peer offset 169.229.128.134 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 169.229.128.134 -0.784 0.960 1.128 1.456 2.489 2.601 2.830 1.360 1.641 0.448 1.590 ms 25.08 93.73

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 173.11.101.155

peer offset 173.11.101.155 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 173.11.101.155 -6.690 -4.241 -3.211 -1.126 1.708 3.512 5.042 4.919 7.753 1.544 -1.025 ms -9.055 24.48

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 192.12.19.20

peer offset 192.12.19.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 192.12.19.20 0.531 0.883 2.251 3.478 5.343 5.872 6.862 3.092 4.989 1.004 3.610 ms 25.4 89.99

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 5.161.191.31

peer offset 5.161.191.31 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 5.161.191.31 1.878 2.012 2.109 2.438 3.487 3.598 5.605 1.378 1.586 0.455 2.601 ms 120.7 662

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 50.116.42.84

peer offset 50.116.42.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 50.116.42.84 0.479 1.533 1.999 2.592 3.735 4.315 4.947 1.736 2.782 0.556 2.695 ms 69.19 323

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 52.10.183.132

peer offset 52.10.183.132 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 52.10.183.132 2.135 3.239 3.511 3.971 5.135 5.410 6.837 1.623 2.171 0.525 4.125 ms 343 2509

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 64.142.122.36

peer offset 64.142.122.36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 64.142.122.36 -22.349 1.795 2.014 2.344 3.423 3.507 4.004 1.409 1.712 0.703 2.463 ms 2.595 607.3

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 66.220.9.122

peer offset 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 66.220.9.122 -0.278 1.756 1.959 2.291 3.332 3.476 6.357 1.373 1.720 0.480 2.427 ms 79.87 392.2

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset SHM(0)

peer offset SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(0) -136.329 -135.173 -134.142 -130.832 -128.466 -127.908 -126.652 5.677 7.265 1.625 -130.924 ms -5.427e+05 4.428e+07

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset SHM(1)

peer offset SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(1) -5.134 -2.349 -1.247 0.057 1.020 1.503 4.793 2.267 3.852 0.705 0.003 µs -4.786 15.55

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Jitters

peer jitters plot

The RMS Jitter of all refclocks and servers. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 162.159.200.1

peer jitter 162.159.200.1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 162.159.200.1 0.100 0.176 0.276 1.660 21.325 23.500 40.520 21.049 23.323 6.478 4.700 ms 0.9796 3.834

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 162.159.200.123

peer jitter 162.159.200.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 162.159.200.123 0.096 0.172 0.277 1.529 17.916 22.668 24.315 17.639 22.496 5.916 4.446 ms 0.8841 3.232

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 169.229.128.134

peer jitter 169.229.128.134 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 169.229.128.134 0.000 0.172 0.254 1.648 20.618 22.983 31.318 20.364 22.811 6.267 4.749 ms 0.8495 3.173

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 173.11.101.155

peer jitter 173.11.101.155 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 173.11.101.155 0.000 1.107 1.571 3.263 19.651 23.400 28.423 18.080 22.293 5.780 6.019 ms 1.725 4.739

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 192.12.19.20

peer jitter 192.12.19.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 192.12.19.20 0.000 0.164 0.269 1.710 19.540 23.316 40.900 19.271 23.151 6.257 4.791 ms 0.9725 3.969

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 5.161.191.31

peer jitter 5.161.191.31 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 5.161.191.31 0.067 0.177 0.287 1.735 13.514 19.958 23.609 13.227 19.781 4.323 3.544 ms 1.561 6.117

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 50.116.42.84

peer jitter 50.116.42.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 50.116.42.84 0.095 0.186 0.292 1.868 16.433 19.661 24.206 16.141 19.475 5.391 4.707 ms 0.9438 3.017

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 52.10.183.132

peer jitter 52.10.183.132 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 52.10.183.132 0.140 0.216 0.311 1.850 20.287 22.986 30.265 19.976 22.770 6.653 5.531 ms 0.7683 2.628

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 64.142.122.36

peer jitter 64.142.122.36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 64.142.122.36 0.000 0.162 0.263 1.652 19.602 23.408 31.196 19.340 23.246 6.271 4.688 ms 0.9006 3.369

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 66.220.9.122

peer jitter 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 66.220.9.122 0.000 0.173 0.270 1.733 19.504 23.203 26.029 19.234 23.030 6.133 4.787 ms 0.9262 3.259

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter SHM(0)

peer jitter SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(0) 0.019 0.054 0.102 0.446 1.133 1.542 2.427 1.030 1.488 0.325 0.509 ms 3.051 9.512

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter SHM(1)

peer jitter SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(1) 0.073 0.247 0.343 0.778 1.807 2.570 5.586 1.464 2.323 0.479 0.889 µs 4.799 17.52

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -418.945 -408.768 -360.138 -233.734 -103.958 -85.770 -76.355 256.180 322.998 81.581 -231.723 ppb -68.22 308.9
Local Clock Time Offset -5.133 -2.348 -1.246 0.056 1.019 1.502 4.792 2.265 3.850 0.704 0.003 µs -4.788 15.56
Local RMS Frequency Jitter 103.000 155.000 186.000 313.000 517.000 603.000 1,527.000 331.000 448.000 105.268 327.965 10e-12 16.89 63.37
Local RMS Time Jitter 0.239 0.406 0.493 0.849 1.430 1.696 3.628 0.937 1.290 0.291 0.892 µs 15.75 54.63
Server Jitter 162.159.200.1 0.100 0.176 0.276 1.660 21.325 23.500 40.520 21.049 23.323 6.478 4.700 ms 0.9796 3.834
Server Jitter 162.159.200.123 0.096 0.172 0.277 1.529 17.916 22.668 24.315 17.639 22.496 5.916 4.446 ms 0.8841 3.232
Server Jitter 169.229.128.134 0.000 0.172 0.254 1.648 20.618 22.983 31.318 20.364 22.811 6.267 4.749 ms 0.8495 3.173
Server Jitter 173.11.101.155 0.000 1.107 1.571 3.263 19.651 23.400 28.423 18.080 22.293 5.780 6.019 ms 1.725 4.739
Server Jitter 192.12.19.20 0.000 0.164 0.269 1.710 19.540 23.316 40.900 19.271 23.151 6.257 4.791 ms 0.9725 3.969
Server Jitter 5.161.191.31 0.067 0.177 0.287 1.735 13.514 19.958 23.609 13.227 19.781 4.323 3.544 ms 1.561 6.117
Server Jitter 50.116.42.84 0.095 0.186 0.292 1.868 16.433 19.661 24.206 16.141 19.475 5.391 4.707 ms 0.9438 3.017
Server Jitter 52.10.183.132 0.140 0.216 0.311 1.850 20.287 22.986 30.265 19.976 22.770 6.653 5.531 ms 0.7683 2.628
Server Jitter 64.142.122.36 0.000 0.162 0.263 1.652 19.602 23.408 31.196 19.340 23.246 6.271 4.688 ms 0.9006 3.369
Server Jitter 66.220.9.122 0.000 0.173 0.270 1.733 19.504 23.203 26.029 19.234 23.030 6.133 4.787 ms 0.9262 3.259
Server Jitter SHM(0) 0.019 0.054 0.102 0.446 1.133 1.542 2.427 1.030 1.488 0.325 0.509 ms 3.051 9.512
Server Jitter SHM(1) 0.073 0.247 0.343 0.778 1.807 2.570 5.586 1.464 2.323 0.479 0.889 µs 4.799 17.52
Server Offset 162.159.200.1 2.414 2.672 2.918 3.894 4.925 5.046 5.364 2.007 2.375 0.521 3.910 ms 294.9 2051
Server Offset 162.159.200.123 1.791 2.171 2.881 3.625 4.660 4.813 7.344 1.779 2.642 0.575 3.757 ms 186.2 1133
Server Offset 169.229.128.134 -0.784 0.960 1.128 1.456 2.489 2.601 2.830 1.360 1.641 0.448 1.590 ms 25.08 93.73
Server Offset 173.11.101.155 -6.690 -4.241 -3.211 -1.126 1.708 3.512 5.042 4.919 7.753 1.544 -1.025 ms -9.055 24.48
Server Offset 192.12.19.20 0.531 0.883 2.251 3.478 5.343 5.872 6.862 3.092 4.989 1.004 3.610 ms 25.4 89.99
Server Offset 5.161.191.31 1.878 2.012 2.109 2.438 3.487 3.598 5.605 1.378 1.586 0.455 2.601 ms 120.7 662
Server Offset 50.116.42.84 0.479 1.533 1.999 2.592 3.735 4.315 4.947 1.736 2.782 0.556 2.695 ms 69.19 323
Server Offset 52.10.183.132 2.135 3.239 3.511 3.971 5.135 5.410 6.837 1.623 2.171 0.525 4.125 ms 343 2509
Server Offset 64.142.122.36 -22.349 1.795 2.014 2.344 3.423 3.507 4.004 1.409 1.712 0.703 2.463 ms 2.595 607.3
Server Offset 66.220.9.122 -0.278 1.756 1.959 2.291 3.332 3.476 6.357 1.373 1.720 0.480 2.427 ms 79.87 392.2
Server Offset SHM(0) -136.329 -135.173 -134.142 -130.832 -128.466 -127.908 -126.652 5.677 7.265 1.625 -130.924 ms -5.427e+05 4.428e+07
Server Offset SHM(1) -5.134 -2.349 -1.247 0.057 1.020 1.503 4.793 2.267 3.852 0.705 0.003 µs -4.786 15.55
TDOP 0.470 0.500 0.550 0.810 1.200 1.450 1.740 0.650 0.950 0.205 0.839 39.81 164.5
Temp ZONE0 45.084 45.084 45.622 47.236 48.312 48.850 49.388 2.690 3.766 0.923 47.082 °C
nSats 6.000 8.000 8.000 10.000 13.000 13.000 14.000 5.000 5.000 1.287 10.067 nSat 338.8 2466
Summary as CSV file


Glossary:

frequency offset:
The difference between the ntpd calculated frequency and the local system clock frequency (usually in parts per million, ppm)
jitter, dispersion:
The short term change in a value. NTP measures Local Time Jitter, Refclock Jitter, and Server Jitter in seconds. Local Frequency Jitter is in ppm or ppb.
kurtosis, Kurt:
The kurtosis of a random variable X is the fourth standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of kurtosis. A normal distribution has a kurtosis of three. NIST describes a kurtosis over three as "heavy tailed" and one under three as "light tailed".
ms, millisecond:
One thousandth of a second = 0.001 seconds, 1e-3 seconds
mu, mean:
The arithmetic mean: the sum of all the values divided by the number of values. The formula for mu is: "mu = (∑xi) / N". Where xi denotes the data points and N is the number of data points.
ns, nanosecond:
One billionth of a second, also one thousandth of a microsecond, 0.000000001 seconds and 1e-9 seconds.
percentile:
The value below which a given percentage of values fall.
ppb, parts per billion:
Ratio between two values. These following are all the same: 1 ppb, one in one billion, 1/1,000,000,000, 0.000,000,001, 1e-9 and 0.000,000,1%
ppm, parts per million:
Ratio between two values. These following are all the same: 1 ppm, one in one million, 1/1,000,000, 0.000,001, and 0.000,1%
‰, parts per thousand:
Ratio between two values. These following are all the same: 1 ‰. one in one thousand, 1/1,000, 0.001, and 0.1%
refclock:
Reference clock, a local GPS module or other local source of time.
remote clock:
Any clock reached over the network, LAN or WAN. Also called a peer or server.
time offset:
The difference between the ntpd calculated time and the local system clock's time. Also called phase offset.
σ, sigma:
Sigma denotes the standard deviation (SD) and is centered on the arithmetic mean of the data set. The SD is simply the square root of the variance of the data set. Two sigma is simply twice the standard deviation. Three sigma is three times sigma. Smaller is better.
The formula for sigma is: "σ = √[ ∑(xi-mu)^2 / N ]". Where xi denotes the data points and N is the number of data points.
skewness, Skew:
The skewness of a random variable X is the third standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of skewness. Wikipedia describes it best: "The qualitative interpretation of the skew is complicated and unintuitive."
A normal distribution has a skewness of zero.
upstream clock:
Any server or reference clock used as a source of time.
µs, us, microsecond:
One millionth of a second, also one thousandth of a millisecond, 0.000,001 seconds, and 1e-6 seconds.



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