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Report generated: Sun Jul 26 20:15:03 2026 UTC
Start Time: Sat Jul 25 20:15:02 2026 UTC
End Time: Sun Jul 26 20:15:02 2026 UTC
Report Period: 1.0 days

Local Temperatures

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 GPS

	Percentiles......							Ranges......					Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max	90%	98%	StdDev	Mean	Units	ness	osis
nSats	7.000	8.000	8.000	10.000	11.000	11.000	12.000	3.000	3.000	0.890	9.460	nSat	923	9172
TDOP	0.540	0.560	0.630	0.790	1.240	1.390	1.650	0.610	0.830	0.190	0.844		52.28	231.3

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. TDOP ranges from 1 to greater than 20. 1 denotes the highest possible confidence level. 2 to 5 is good. Greater than 20 means there will be significant inaccuracy and error.

Server Offsets

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 PPS(0)

	Percentiles......							Ranges......					Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max	90%	98%	StdDev	Mean	Units	ness	osis
Server Offset PPS(0)	168.309	168.327	168.445	169.566	170.965	171.134	171.160	2.520	2.808	0.862	169.546	ms	7.483e+06	1.464e+09

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)

	Percentiles......							Ranges......					Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max	90%	98%	StdDev	Mean	Units	ness	osis
Server Offset SHM(0)	-7.416	-7.280	-7.165	-7.020	-6.965	-6.683	-6.659	0.200	0.597	0.079	-7.033	s	-7.256e+05	6.522e+07

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

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

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 PPS(0)

	Percentiles......							Ranges......					Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max	90%	98%	StdDev	Mean	Units	ness	osis
Server Jitter PPS(0)	0.159	0.332	0.469	2.271	6.203	10.155	46.794	5.734	9.823	2.092	2.614	µs	3.406	24.45

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)

	Percentiles......							Ranges......					Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max	90%	98%	StdDev	Mean	Units	ness	osis
Server Jitter SHM(0)	2.054	9.266	14.308	28.658	72.707	227.117	557.893	58.399	217.851	34.640	36.268	ms	6.271	53.4

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	Min	1%	5%	50%	95%	99%	Max	90%	98%	StdDev	Mean	Units	ness	osis
Server Jitter PPS(0)	0.159	0.332	0.469	2.271	6.203	10.155	46.794	5.734	9.823	2.092	2.614	µs	3.406	24.45
Server Jitter SHM(0)	2.054	9.266	14.308	28.658	72.707	227.117	557.893	58.399	217.851	34.640	36.268	ms	6.271	53.4
Server Offset PPS(0)	168.309	168.327	168.445	169.566	170.965	171.134	171.160	2.520	2.808	0.862	169.546	ms	7.483e+06	1.464e+09
Server Offset SHM(0)	-7.416	-7.280	-7.165	-7.020	-6.965	-6.683	-6.659	0.200	0.597	0.079	-7.033	s	-7.256e+05	6.522e+07
TDOP	0.540	0.560	0.630	0.790	1.240	1.390	1.650	0.610	0.830	0.190	0.844		52.28	231.3
nSats	7.000	8.000	8.000	10.000	11.000	11.000	12.000	3.000	3.000	0.890	9.460	nSat	923	9172

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 = (∑x_i) / N". Where x_i 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 = √[ ∑(x_i-mu)^2 / N ]". Where x_i 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.

This page autogenerated by ntpviz, part of the NTPsec project