Selection from the list of topics

Estimates and standard error of the estimates

The results published in the NFI tables are estimates for variables in the Swiss forest (population parameters) whose true values are not known and must therefore be extrapolated (estimated) from the NFI sample data.

The extrapolations carry uncertainties. However, the accuracy of the extrapolations can be reliably estimated from the NFI sample, which is designed to be a random sample. To this end, all NFI tables include a second figure in addition to the estimate itself, namely the standard error of the estimate.

In most tables the percent standard error is reported (±%), but the absolute standard error (±) is also reported occasionally, especially for estimated percentages. The relationship between absolute and percent standard error is as follows:

percent standard error = absolute standard error / estimate × 100

absolute standard error = percent standard error × estimate / 100

Information on the forest road network is based on a full survey of all forest roads. In this case, there is no need to specify a standard error because there is no uncertainty caused by sampling.

Confidence interval of the estimate

With the estimate and the standard error of the estimate, the limits of the so-called confidence interval of the estimate can be calculated as:

lower limit = estimate – tQ × absolute standard error

upper limit = estimate + tQ × absolute standard error

If the simple standard error is used for the calculation (tQ = 1), then the 68% confidence interval is formed. In this case, the true value of the population parameter has a 68% probability of lying within this confidence interval of the estimate. If the double standard error is used (tQ = 2), then there is a 95% probability that the true value lies within this 95% confidence interval.

Significance of the estimate

The confidence interval can be used to statistically test whether the estimated population parameter is larger or smaller than a specific reference or target value, or whether two estimated population parameters truly differ (in the real population). For practical applications, proceed as follows: if a reference value lies outside the confidence interval, the estimated population value can be interpreted as being significantly different from it; if it lies within the confidence interval, the difference between the estimated population parameter and the reference value can be interpreted as random or not significant. When two population parameters are compared, they can be interpreted as differing significantly if their confidence intervals do not overlap.

Dealing with missing values

When calculating a results table, data are not always available for all combinations of characteristics^* of the classification variables and regional demarcation applied. In most cases, this indicates that the attribute estimated with the respective target variable does not occur or occurs only very rarely. Usually, the value 0 is used (imputed). However, as this value is not based on direct measurements, the associated standard error is represented with a full stop [.]. If the imputed value of 0 is referred to in the calculation, e.g. in the case of percentages or certain change estimates, no value can be entered. In this case, the estimated value and standard error are both represented with a full stop [.].

For example, no Arolla pines have been found and measured in the Swiss Plateau to date (growing stock of Arolla pines by production region). The values can be assumed to be missing because Arolla pine does not occur in the Swiss Plateau and therefore the growing stock there must be 0.

^* e.g. ‘Arolla pine’ characteristic of the classification variable ‘tree species’ and ‘Swiss plateau’ characteristic of the ‘regional demarcation’

Changes

There are two types of changes in the NFI:

The first type involves specific target variables relating to components of change, such as increment, fellings, mortality and losses. These target variables are only available for two consecutive inventory cycles, e.g. NFI3–NFI4. In the evaluation of components of change, the classification variable characteristic of the second inventory cycle is assigned to the first inventory cycle. These evaluations therefore do not take into account potential changes in a classification variable characteristic from the earlier to the later inventory (e.g. from private to public ownership).

With the second type of change, the difference in target variables, such as number of stems, growing stock or forest area, is used to assess the change between two inventory cycles. Target variables are generally used to represent states, such as that in NFI4, but can also indicate the net change between any two inventory cycles, e.g. NFI1–NFI4. In evaluations of change using these target variables, the change in a classification variable characteristic is considered in the analysis. Consequently, one can detect, for example, that the forest area without shrub forest increased between the two inventory cycles. This only has an effect on classification variables whose characteristic (class) can actually change, e.g. the affiliation with a forest area or the tree condition.

NFI5
number of stems
tree age (in 40-year classes) · main tree species
regional demarcation: canton
unit: 1000 n
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		canton
		AG		AI		AR		BE		BL/BS		FR		GE		GL		GR		JU		LU		NE		NW		OW		SG		SH		SO		SZ		TG		TI		UR		VD		VS		ZG		ZH		Switzerland
tree age (in 40-year classes)	main tree species	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%
n/a	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
	fir	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
	pine	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0
	larch	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	0	0	.	0	.	0	0
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0
	other conifers	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	0
	beech	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
	maple	0	0	0	.	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0
	ash	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0
	oak	0	0	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	0	0	0
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	0
	other broadleaves	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
	indeterminable	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0
	total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
=40 years	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1590	30	0	.	377	60	5638	15	336	71	1143	47	52	74	402	53	6098	16	69	50	2292	26	533	27	50	76	1259	51	2230	29	306	72	779	61	814	56	586	40	1460	33	469	55	2968	28	2542	20	63	77	1247	37	33303	7
	fir	407	45	0	.	320	90	3668	19	262	57	565	33	34	100	7	100	106	58	1129	26	2404	31	703	55	36	100	201	50	178	54	17	100	591	58	177	52	509	48	178	61	127	43	786	29	124	43	107	53	391	37	13027	10
	pine	37	100	0	.	0	.	221	71	38	100	46	86	0	.	0	.	368	72	0	.	20	100	35	100	0	.	35	100	0	.	0	.	36	71	0	.	0	.	64	100	0	.	0	.	127	50	0	.	98	100	1124	31
	larch	231	73	0	.	0	.	35	71	0	.	114	72	0	.	0	.	669	36	0	.	66	62	0	.	0	.	52	100	117	86	0	.	0	.	0	.	137	100	724	33	0	.	716	61	750	32	0	.	85	73	3695	18
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	345	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	77	57	0	.	0	.	423	47
	other conifers	116	63	0	.	0	.	114	48	17	100	0	.	0	.	0	.	36	100	0	.	37	71	0	.	0	.	18	100	21	100	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	104	47	483	25
	beech	1816	20	0	.	21	100	3360	16	780	37	628	32	0	.	206	38	378	30	620	29	655	27	678	32	159	66	344	41	1621	31	667	41	1339	31	95	60	475	33	765	27	65	60	1871	29	71	61	35	71	1844	25	18493	7
	maple	707	29	0	.	272	51	1855	23	502	39	331	39	20	100	301	48	453	38	431	38	475	33	669	48	67	71	107	100	468	34	79	81	814	46	214	43	511	31	725	38	70	50	1500	29	736	36	38	71	1230	28	12578	8
	ash	539	33	0	.	17	100	774	31	120	59	511	40	17	100	106	48	311	41	138	76	145	49	157	40	36	100	58	72	240	52	92	71	143	56	225	66	321	34	788	31	0	.	658	32	625	37	0	.	425	34	6445	10
	oak	54	73	0	.	0	.	138	55	0	.	136	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	24	77	0	.	0	.	222	41	0	.	68	50	53	58	0	.	93	68	808	21
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1905	31	0	.	0	.	38	100	0	.	0	.	1960	30
	other broadleaves	1043	23	0	.	88	82	2883	20	231	42	1056	28	150	74	105	64	3580	21	399	33	921	32	125	42	280	49	251	40	466	31	81	71	287	34	287	61	814	36	4444	17	114	52	1155	31	1929	20	53	74	991	26	21733	7
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	6539	15	0	.	1097	49	18686	10	2286	27	4530	19	273	59	1127	31	12360	11	2787	18	7014	17	2900	24	628	36	2326	32	5341	19	1263	39	4014	25	1812	32	3353	21	11274	12	845	37	9741	15	7072	13	295	45	6509	15	114070	3
41-80 years	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	862	32	519	40	555	39	10597	11	302	56	3594	24	0	.	970	32	17072	9	433	32	3218	20	1620	25	1052	51	1827	25	2667	23	496	51	487	38	1731	23	1651	29	4032	19	2238	23	4873	16	8407	14	504	44	2928	24	72635	4
	fir	438	53	96	53	247	41	5395	11	368	33	1108	37	0	.	56	52	321	33	1482	24	2346	21	1691	22	96	47	465	38	703	28	97	77	585	44	624	42	564	39	661	37	738	29	3129	17	667	32	371	47	383	28	22630	6
	pine	52	62	0	.	0	.	309	68	74	57	23	77	59	100	0	.	1642	27	39	84	15	71	48	100	66	100	260	100	22	100	130	63	204	46	187	75	24	77	41	72	130	88	78	73	1805	35	0	.	134	40	5341	16
	larch	90	51	0	.	0	.	32	71	7	100	0	.	0	.	0	.	3323	16	0	.	7	100	0	.	0	.	0	.	39	71	24	77	7	100	0	.	74	75	3067	20	0	.	277	62	3901	18	0	.	7	100	10856	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1632	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	644	29	0	.	0	.	2276	23
	other conifers	41	61	0	.	54	74	355	40	80	100	0	.	0	.	18	100	380	45	51	74	29	62	17	100	0	.	17	100	145	39	21	100	154	55	76	80	34	71	44	70	69	100	183	48	173	56	0	.	299	76	2241	17
	beech	1691	20	108	47	217	49	7515	11	1458	28	1427	25	0	.	316	37	1764	25	1519	27	2098	19	940	22	648	46	468	34	3227	19	1104	28	1697	21	859	23	755	23	8235	16	672	37	2894	15	1813	30	122	52	1825	17	43372	5
	maple	335	24	22	75	173	57	2200	16	342	34	496	28	0	.	407	43	399	30	287	31	401	27	562	32	208	36	396	83	1040	24	111	81	378	25	606	40	330	37	813	37	299	44	1695	20	1066	36	104	55	664	25	13336	7
	ash	149	37	0	.	162	55	781	25	219	45	548	35	17	100	124	47	732	46	321	38	326	39	70	64	406	84	109	76	875	29	101	61	334	37	251	43	235	36	1304	32	418	43	804	26	807	33	94	78	241	25	9428	9
	oak	194	61	0	.	0	.	144	45	132	50	82	58	214	69	0	.	45	75	24	77	97	43	198	100	0	.	0	.	43	82	104	58	246	86	0	.	192	38	1561	31	18	100	1256	43	784	39	7	100	57	50	5400	16
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	625	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6947	16	0	.	7	100	150	73	0	.	0	.	7729	15
	other broadleaves	445	26	0	.	75	74	2197	20	218	35	229	39	17	100	264	64	3424	28	618	40	196	32	224	51	108	60	62	77	767	35	35	71	439	46	726	36	256	48	10018	12	898	50	1753	23	3262	18	17	100	644	27	26894	7
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	4297	16	745	33	1484	28	29526	7	3200	20	7508	16	307	62	2156	23	31360	7	4774	17	8732	12	5369	14	2583	32	3604	21	9529	14	2223	24	4531	18	5060	18	4117	18	36724	7	5480	19	16949	10	23478	9	1220	33	7182	14	222138	2
81-120 years	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	174	36	741	33	502	41	4875	12	70	58	1680	22	0	.	438	35	7407	11	416	29	841	20	954	26	604	65	1599	33	2112	20	275	38	356	52	936	25	261	35	1641	24	815	28	2362	16	3827	16	46	71	637	24	33568	5
	fir	181	40	109	63	298	40	2734	13	101	62	322	35	0	.	37	53	221	40	936	30	785	22	670	27	36	72	256	49	584	20	21	75	294	46	375	28	96	50	135	38	493	39	1178	19	411	35	0	.	191	29	10465	6
	pine	27	79	0	.	0	.	273	36	105	52	13	71	0	.	0	.	1548	34	121	54	103	67	31	100	0	.	156	100	111	80	93	61	43	47	80	100	112	47	36	100	86	53	34	60	1600	36	0	.	142	32	4713	17
	larch	29	50	0	.	0	.	37	68	7	100	7	100	0	.	0	.	1863	19	7	100	0	.	0	.	0	.	0	.	80	53	0	.	0	.	14	100	0	.	1382	23	0	.	29	61	1326	18	0	.	60	45	4841	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	817	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	392	34	0	.	0	.	1209	22
	other conifers	31	71	0	.	0	.	165	89	0	.	0	.	0	.	0	.	106	70	0	.	46	77	0	.	0	.	0	.	71	81	0	.	24	100	0	.	0	.	0	.	17	100	87	100	0	.	0	.	17	100	564	36
	beech	571	24	76	68	147	53	3388	16	596	32	1253	23	0	.	295	33	606	29	1084	25	675	22	276	26	59	62	537	52	1212	20	398	33	795	24	815	27	322	28	1623	19	441	38	2116	15	201	42	39	55	618	20	18144	5
	maple	35	66	6	100	85	73	524	25	99	54	164	45	0	.	122	39	100	43	118	31	77	50	39	44	42	73	31	61	477	32	42	100	168	36	54	42	52	67	73	71	86	51	438	33	127	44	7	100	122	34	3088	10
	ash	119	58	0	.	56	56	146	37	56	65	233	61	0	.	75	56	6	100	138	35	23	71	16	70	79	62	0	.	344	26	21	74	48	55	191	52	108	38	64	53	26	60	292	36	68	84	7	100	155	32	2270	12
	oak	64	44	0	.	0	.	130	26	87	64	27	79	15	71	0	.	40	71	66	48	23	100	26	78	22	100	0	.	37	64	55	62	51	53	0	.	60	43	238	46	10	100	633	45	118	51	0	.	117	32	1817	18
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	94	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	558	37	0	.	0	.	27	70	0	.	0	.	679	32
	other broadleaves	95	60	0	.	0	.	191	35	35	72	0	.	0	.	6	100	106	60	72	61	17	100	39	100	0	.	0	.	244	77	7	100	18	73	30	72	52	65	244	42	42	60	48	65	63	53	0	.	27	61	1335	19
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	1325	17	933	33	1088	31	12464	8	1154	26	3700	15	15	71	973	25	12913	9	2958	16	2591	14	2051	21	842	52	2580	25	5272	13	911	25	1797	20	2494	19	1063	21	5993	11	2016	22	7217	11	8159	12	99	54	2086	15	82693	3
121-160 years	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	54	78	383	46	58	58	3426	15	35	83	605	39	0	.	409	36	5067	13	189	34	530	29	361	26	112	45	914	33	938	27	14	70	119	51	449	28	68	52	1052	21	648	44	1239	21	2498	17	50	77	113	42	19331	6
	fir	13	100	71	49	56	76	931	18	14	70	212	44	0	.	26	60	249	34	300	37	411	29	426	25	63	70	158	36	270	31	7	100	118	41	177	57	60	71	86	47	91	56	459	21	155	46	11	100	171	38	4535	8
	pine	0	.	0	.	0	.	254	45	15	71	82	75	0	.	0	.	738	37	27	79	13	100	0	.	0	.	79	78	38	83	28	61	20	74	6	100	13	100	65	100	54	75	24	77	422	37	0	.	87	41	1966	18
	larch	0	.	0	.	0	.	13	100	0	.	0	.	0	.	7	100	998	16	0	.	0	.	7	100	0	.	0	.	197	77	7	100	0	.	0	.	0	.	810	26	0	.	14	100	1497	19	7	100	7	100	3564	11
	Arolla pine	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	460	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	323	30	0	.	0	.	809	21
	other conifers	0	.	0	.	0	.	24	77	0	.	0	.	0	.	0	.	106	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	169	42
	beech	75	43	50	55	14	71	811	18	193	47	149	52	0	.	57	69	128	52	160	39	335	32	78	43	43	100	61	40	276	28	83	56	679	35	140	45	28	50	623	54	8	100	439	24	149	72	29	100	153	39	4763	11
	maple	7	100	0	.	0	.	63	45	0	.	16	71	0	.	15	100	31	80	21	74	14	72	9	100	18	100	8	100	77	38	0	.	80	56	6	100	23	100	0	.	0	.	47	72	45	100	0	.	14	71	495	19
	ash	7	100	0	.	0	.	0	.	7	100	20	100	0	.	6	100	0	.	15	71	0	.	0	.	0	.	0	.	0	.	0	.	7	100	14	71	21	58	0	.	0	.	7	100	7	100	0	.	28	71	139	27
	oak	63	66	0	.	0	.	75	57	24	77	13	100	37	100	0	.	37	85	66	63	0	.	21	74	0	.	0	.	0	.	14	100	8	100	6	100	29	50	66	79	22	100	68	54	159	100	0	.	58	47	766	26
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	79	0	.	0	.	7	100	0	.	0	.	98	58
	other broadleaves	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	43	54	0	.	21	100	60	77	0	.	0	.	137	41
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	225	32	504	41	128	51	5608	11	288	38	1098	26	37	100	520	33	7836	10	778	24	1304	19	903	20	236	44	1220	29	1797	19	153	49	1039	29	799	24	241	32	2829	17	824	38	2357	15	5323	13	96	69	631	23	36771	4
>160 years	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	6	100	0	.	2777	14	28	79	697	67	0	.	607	38	5188	13	0	.	518	49	206	39	133	62	371	34	530	27	0	.	12	100	768	31	0	.	684	24	800	35	913	22	2108	20	0	.	0	.	16345	7
	fir	0	.	8	100	7	100	725	22	14	70	18	72	0	.	112	55	147	34	29	61	99	49	144	47	0	.	91	56	93	35	0	.	46	79	113	54	0	.	167	34	12	100	346	28	176	48	0	.	0	.	2346	11
	pine	0	.	0	.	0	.	153	64	28	71	0	.	0	.	0	.	506	38	0	.	0	.	0	.	0	.	0	.	32	100	0	.	21	74	0	.	0	.	124	64	0	.	0	.	717	41	0	.	0	.	1581	24
	larch	0	.	0	.	0	.	68	66	0	.	0	.	0	.	0	.	1710	13	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	630	20	0	.	21	100	2113	19	0	.	0	.	4541	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	715	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	0	.	0	.	424	26	0	.	0	.	1172	22
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87	82
	beech	7	100	0	.	0	.	215	44	7	100	0	.	0	.	0	.	28	64	55	73	48	71	8	100	0	.	107	78	60	51	35	72	392	61	28	81	0	.	532	39	53	55	120	37	78	76	0	.	7	100	1782	20
	maple	0	.	0	.	0	.	45	52	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	6	100	7	100	0	.	0	.	14	71	23	100	0	.	0	.	114	33
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	19	58
	oak	10	100	0	.	0	.	53	100	0	.	0	.	0	.	0	.	46	100	7	100	0	.	0	.	0	.	0	.	8	100	0	.	12	100	0	.	55	76	16	71	10	100	14	100	28	100	0	.	20	58	280	33
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	257	45	0	.	0	.	17	100	0	.	0	.	274	43
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	100
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	17	72	14	71	7	100	4036	12	77	52	715	65	0	.	725	37	8447	10	91	59	665	40	358	32	133	62	569	32	723	23	35	72	522	49	915	28	62	69	2442	14	876	32	1434	18	5683	13	0	.	27	50	28572	5
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2679	21	1649	30	1493	29	27313	7	770	39	7719	17	52	74	2826	25	40832	6	1106	22	7398	14	3674	16	1950	44	5970	21	8477	14	1090	33	1754	32	4699	17	2567	22	8869	17	4970	19	12355	11	19382	9	663	39	4925	18	175182	3
	fir	1039	30	283	39	929	39	13453	9	759	30	2226	24	34	100	238	42	1044	23	3876	16	6044	16	3634	19	231	38	1172	29	1829	16	142	60	1634	29	1466	25	1228	30	1227	29	1461	28	5897	13	1532	24	488	44	1137	19	53003	4
	pine	115	60	0	.	0	.	1210	28	259	33	164	46	59	100	0	.	4802	19	187	42	151	52	113	59	66	100	530	90	203	71	251	40	324	36	273	65	149	39	331	54	271	54	136	47	4670	21	0	.	461	28	14724	10
	larch	350	50	0	.	0	.	185	37	14	71	121	68	0	.	7	100	8562	11	7	100	73	57	7	100	0	.	52	100	433	50	31	64	7	100	14	100	211	70	6612	14	0	.	1058	45	9587	12	7	100	159	43	27496	6
	Arolla pine	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	3971	20	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	100	0	.	0	.	1860	22	0	.	0	.	5889	15
	other conifers	188	45	0	.	54	74	658	38	98	100	0	.	0	.	18	100	696	32	51	74	112	47	17	100	0	.	35	71	237	39	21	100	195	54	76	80	34	71	44	70	87	100	328	49	173	56	0	.	420	56	3543	14
	beech	4159	14	235	51	400	36	15290	8	3034	20	3458	19	0	.	873	27	2902	20	3439	18	3812	16	1980	17	909	42	1517	28	6396	15	2288	22	4902	15	1936	19	1581	19	11778	13	1239	32	7440	12	2313	27	224	40	4448	14	86553	3
	maple	1083	21	28	79	530	42	4686	12	943	26	1007	25	20	100	852	30	983	25	857	23	968	20	1280	30	336	32	542	64	2063	17	232	51	1454	28	887	31	923	26	1611	29	455	34	3694	17	1997	24	149	53	2030	19	29611	5
	ash	814	26	0	.	235	47	1701	19	401	34	1312	25	34	100	311	37	1055	34	612	29	493	30	242	36	521	67	166	56	1459	22	214	43	539	28	682	37	685	23	2156	24	444	42	1767	20	1508	27	101	73	849	21	18301	6
	oak	385	36	0	.	0	.	541	25	243	47	258	40	266	58	0	.	168	60	163	45	119	44	245	89	22	100	0	.	88	49	192	42	341	66	6	100	337	30	2103	25	61	75	2038	31	1142	32	7	100	345	27	9071	11
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	758	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9735	14	0	.	7	100	238	67	0	.	0	.	10739	13
	other broadleaves	1591	19	0	.	163	56	5271	14	485	28	1285	25	167	67	375	49	7141	18	1088	27	1135	27	388	37	388	42	313	36	1478	26	123	51	752	30	1044	31	1122	35	14748	10	1054	44	2976	19	5314	14	70	61	1662	20	50132	5
	indeterminable	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0
	total	12403	11	2195	28	3803	24	70319	5	7005	16	17550	11	632	48	5501	18	72916	5	11387	12	20305	10	11580	11	4422	28	10298	16	22663	10	4584	19	11903	13	11081	13	8836	14	59262	5	10041	16	37697	7	49715	6	1710	29	16434	10	484244	1

Table citation

Abegg, M.; Ahles, P.; Allgaier Leuch, B.; Cioldi, F.; Didion, M.; Düggelin, C.; Fischer, C.; Herold, A.; Meile, R.; Rohner, B.; Rösler, E.; Speich, S.; Temperli, C.; Traub, B.,
2023: Swiss national forest inventory - Result table No. 1327269. Birmensdorf, Swiss Federal Research Institute WSL

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