If a species is not footnoted with a number (1-18), then the specific gravity for that species has not been verified by Wagner. In most cases, with unverified species, these species have the same botanical name as the verified version but just a different common name. Many species (botanical name) in the world have many different common names. The footnote descriptions are shown at the bottom of the page.*

Wood Species Types in Alphabetical Order

To obtain the most accurate moisture content measurements with your Wagner moisture meter, you must set the meter for the correct species settings value for the species you are going to measure. For our customers' convenience, we have calibrated our meter's species settings in terms of specific gravity.*

For those instances where you need to measure moisture in a wood species that is not shown in your User’s Manual, Wagner has compiled this extensive database of wood species with their associated specific gravity values.

The sources for our database include the United States Department of Agriculture, Forest Products Laboratory.

The published specific gravity values are the average for each species. There can and will be some variability of the specific gravity (density) within any species of wood, but the average specific gravity value (again, from the most valid published sources) will provide the best settings for your Wagner moisture meter.

Common NameBotanical NameSpecific GravityVerified
IasExcoecaria agallocha0.42
IbanManilkara zapota0.71
IbekaMammea africana0.69
IbeleaMammea africana0.69
Ibira cambyMicropholis guianensis0.67
Pometia pinnata0.60
Liquidambar styraciflua0.52
Cedrela odorata0.39
IdabakororMitragyna stipulosa0.53
Pinus monticola0.35
Taxus baccata0.63
IdigboTerminalia ivorensis0.54
IedelMangifera indica0.53
Liquidambar styraciflua0.52
IepUlmus hollandica0.53
IfetIntsia bijuga0.65
IfilIntsia bijuga0.65
IgagangaDacryodes le testui0.56
IgondeBrachystegia spiciformis0.70
IgondiBrachystegia spiciformis0.70
Pometia pinnata0.60
IhiliIntsia bijuga0.65
Hymenaea courbaril0.83
IjawsTerminalia ivorensis0.54
Tabebuia serratifolia0.99
IkamePterygota bequaertii0.53
IkamePterygota macrocarpa0.54
IkoiPoga oleosa0.39
IkombaMusanga cecropioides0.23
IkuPoga oleosa0.39
IkumbuMusanga cecropioides0.23
Ila EvinDaniella oliveri0.49
Ilang-ilangCanangium odoratum0.28
IllupeiBassia latifolia0.82
IllupeiDichopsis elliptica0.56
IlukuMitragyna stipulosa0.53
IluliKhaya nyassica0.44
Pterocarpus angolensis0.59
ImbiremaCouratari pulchra0.534
Amburana cearensis0.58
Imburana de cheiroAmburana cearensis0.584
Platymiscium pinnatum0.87
Immortel etrangerSpathodea campanulata0.25
ImonoPoga oleosa0.39
ImononPoga oleosa0.39
ImonorPoga oleosa0.39
ImpaPterygota bequaertii0.53
ImpasKoompassia malaccensis0.76
InDipterocarpus basilanicus0.54
InDipterocarpus warburgii0.53
Incense CedarLibocedrus decurrens0.371
IncensoDaniella thurifera0.46
InciensoTetragastris altissima0.74
IncorruptibleMinquartia guianensis0.83
IndanaByrsonima coriacea0.68
Indana ColoradoByrsonima coriacea0.68
IndanoByrsonima coriacea0.68
Indano ColoradoByrsonima coriacea0.68
India BoxwoodGossypiospermum praecox0.77
Indian AlderAlnus nepalensis0.26
Buxus sempervirens0.83
Indian CedarCedrela toona0.47
Indian ChestnutCastanopsis acuminatissima0.56
Indian Cigar TreeCatalpa speciosa0.37
Indian CrabwoodCarapa molluccensis0.71
Indian EbonyDiospyros celebica0.9013
Indian EbonyDiospyros melanoxylon0.67
Indian GurjunDipterocarpus grandiflorus0.68
Indian LaurelTerminalia elliptica (syn. T. tomentosa)0.7916
Indian LaurelwoodTerminalia celerica0.684
Indian LilacMelia azedarach0.51
Indian PadaukPterocarpus marsupium0.714
Pinus taeda0.51
Pterocarpus indicus0.57
Indian Rosewood
Dalbergia latifolia
0.79
2
Indian WalnutAleurites moluccana0.14
Indian White CedarDysoxylum malabaricum0.62
IndigboTerminalia ivorensis0.54
Indo-China PinePinus merkusii0.59
Inga CagtituMarmaroxylon racemosum1.07
Liquidambar styraciflua0.52
IngaranaMarmaroxylon racemosum1.07
Ingarana da terra firmeMarmaroxylon racemosum1.07
InggerisKoompassia malaccensis0.76
IngiepipaCouratari pulchra0.534
IngipipaCouratari pulchra0.534
IngoeCedrela toona0.47
InguipipaCouratari pulchra0.534
Araucaria angustifolia0.49
Taxodium distichum0.46
Pseudotsuga menziesii0.48
InoiPoga oleosa0.39
Inoi nutPoga oleosa0.39
InoyePoga oleosa0.39
Pinus radiata0.45
Pinus radiata0.45
Pinus radiata0.45
Pinus radiata0.45
Pseudotsuga menziesii0.48
IntuleChlorophora excelsa0.70
InyerePoga oleosa0.39
IpakiTieghemella heckelii0.60
IpawhawLophira alata0.94
IpeTabebuia serratifolia0.994
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
Tabebuia serratifolia0.99
IpiIntsia bijuga0.65
IpilIntsia bijuga0.65
IpilIntsia palembanica0.65
IpohAntiaris toxicaria0.35
IppaBassia latifolia0.82
IppaDichopsis elliptica0.56
IppiDichopsis elliptica0.56
Ipus-ipusPygeum turnerianum0.44
Ira RosaVirola koschnyi0.51
Iranian BoxwoodBuxus sempervirens0.8313
IrhuBassia latifolia0.82
IriarManilkara bidentata0.95
IrikwaVirola surinamensis0.51
IrokoChlorophora spp.0.572
IrokoChlorophora regia0.59
Iron WoodPygeum africanum0.61
Iron Wood TreeMesua ferrea0.92
IronbarkEucalyptus dives0.68
IronbarkEucalyptus hemiphloia0.93
IronbarkEucalyptus nitens0.59
IronbarkEucalyptus wilkinsoniana0.71
IronpostLophira alata0.94
Tabebuia serratifolia0.99
Ostrya virginiana0.70
IronwoodTabebuia serratifolia0.994
IrpiBassia latifolia0.82
IrripBassia latifolia0.82
IrupBassia latifolia0.82
IsbinAfzelia quanzensis0.62
Pometia pinnata0.60
IsereIntsia bijuga0.65
IshpingoAmburana cearensis0.584
Isiqalaba se HlatiRapanea melanophleos0.74
IsiquaquRapanea melanophleos0.74
Isiqwane se HlatiRapanea melanophleos0.74
Isiqwane-WehlatiRapanea melanophleos0.74
IsombeTestulea gabonensis0.76
Hymenaea courbaril0.83
Italian Olive AshFraxinus excelsior0.5814
ItaubaMezilaurus navalium0.79
Itauba AmarellaMezilaurus navalium0.79
Itauba PretaMezilaurus navalium0.79
IteballiVochysia ferruginea0.52
IteballiVochysia guianensis0.52
IteballiVochysia lehmanni0.52
IteballiVochysia tomentosa0.52
Iteballi KoreroVochysia guianensis0.52
IterballiVochysia guianensis0.52
Itom ItomDiospyros mindanaensis0.7814
ItoumbePiptadeniastrum africanum0.63
IviliIntsia bijuga0.65
Guibourtia ehie0.71
Microberlinia brazzavillensis0.77
IzombeTestulea gabonensis0.76

Footnotes:

  
1Forest Products Laboratory Wood Handbook @ 12% MC values
2Forest Products Laboratory Wood Handbook Calculated from Green MC values by Wagner
3Forest Products Laboratory Techsheets Calculated from Green MC values by Wagner
4WoodWorkersSource Wood Library Calculated from Green MC values by Wagner
5We included Douglas-fir(Pseudotsuga menziesii) Coast (.48)*, Interior West (.50)*, Interior North (.48)*, Interior South (.46)* to come up with an average SG of (.48)* *“Coast type Douglas-fir is defined as Douglas-fir growing in the States of Oregon and Washington west of the summit of the Cascade Mountains. Interior West includes the State of California and all counties in Oregon and Washington east of but adjacent to the Cascade summit. Interior North includes the remainder of Oregon and Washington and the States of Idaho, Montana, and Wyoming.” Specific Gravity resources: * Wood Handbook page 5-7
6According to USDA Forest Service, Forest Product Laboratory, Wood Handbook 2-8, Hard maple includes sugar maple (Acer saccharum) (.63)* and black maple (A. nigrum) (.57)*.
7According to USDA Forest Service, Forest Product Laboratory, Techsheets, Red Ash includes these three subspecies Fraxinus americana (.60)*, Fraxinus pennsylvanica (.56)*, Fraxinus profunda (.51)*
8According to USDA Forest Service, Forest Product Laboratory, Wood Handbook page 2-8, Soft maple includes silver maple (Acer saccharinum) (.47)*, red maple (A. rubrum) (.54)*, bigleaf maple (A.macrophyllum) (.48)*, and boxelder (A. negundo) (.45)** Specific Gravity resources:
* Wood Handbook page 5-5
** Forest Product Laboratory Techsheet
9According to the Southern Pine Inspection Bureau (SPIB) the four main subspecies that make up the SYP category are: Longleaf, Shortleaf, Loblolly and Slash pines. The SYP mix setting (.56) was determined by taking the average of Longleaf (.59)*, Shortleaf (.51)*, Loblolly (.51)* and Slash pines (.59)* Specific Gravity resources: * Wood Handbook page 5-7 & page 5-8
10 Forest Products Laboratory Techsheets Calculated from Green MC values by Wagner applying an acceptable volumetric shrinkage approximation per USDA GTR FPL-GTL-76
11 According to Forest Products Laboratory Techsheets Guatambu grown in *Brazil has a higher specific gravity then for **Argentinean material. *Guatambu (Brazil) (Balfourodendron riedelianum)(.79) Calculated from Green MC values by Wagner. **Guatambu (Argentinean) (Balfourodendron riedelianum)(.70) Calculated from Green MC values by Wagner.
12Forest Products Laboratory Techsheets Calculated from Dry (0%) MC values by Wagner applying an acceptable volumetric shrinkage approximation per USDA GTR FPL-GTL-76
13WoodWorkersSource Wood Library Calculated from Dry (0%) MC values by Wagner applying an acceptable volumetric shrinkage approximation per USDA GTR FPL-GTL-76
14WoodWorkersSource Wood Library Calculated from Green MC values by Wagner applying an acceptable volumetric shrinkage approximation per USDA GTR FPL-GTL-76
15WoodWorkersSource Wood Library Calculated from Dry (0%) MC values by Wagner
16The Wood Database Calculated from Green MC values by Wagner
17The Wood Database Calculated from Green MC values by Wagner applying an acceptable volumetric shrinkage approximation per USDA GTR FPL-GTL-76
18Tropicaltimber Calculated from Green MC values by Wagner applying an acceptable volumetric shrinkage approximation per USDA GTR FPL-GTL-76
19According to Forest Products Laboratory Techsheets Goncalo Alves grown in *Honduras and Venezuela has a higher specific gravity then for **Brazil and Colombia material. *Goncalo Alves (Honduras and Venezuela) (Astronium graveolens)(.89) Calculated from Green MC values by Wagner. **Goncalo Alves (Brazil and Colombian) (Astronium graveolens)(.80) Calculated from Green MC values by Wagner.
 
 
* Legal disclaimer:

Wagner has compiled species’ average specific gravity (SG) values (wood volume at 12% moisture content (MC) and oven-dry weight) from industry-accepted 3rd-party sources (USDA Forest Products Laboratory as an example) and provides this list for free with no implied warranty. Where an SG value listed in Wagner Meters’ manuals or website has been verified by Wagner, this is indicated as such, and not indicated as verified if a verification process has not been completed by Wagner for that species. Wagner is not responsible for any 3rd-party oversights or errors in their (the 3rd-parties) published SG values.

Where no published average SG value could be found for a species for the wood volume at 12% MC and oven-dry weight basis, Wagner has derived the proper SG value through a robust algorithm (see detailed explanation below under the heading ‘Specific Gravity (SG) Values of Wood and Their Referenced Moisture Content’).
 


 
Specific Gravity (SG) Values of Wood and Their Referenced Moisture Content

 

Wagner Meters’ moisture meters’ species settings are calibrated to wood samples that are at a nominal 12% moisture content (MC). It should also be recognized that the measurement accuracy of non-pin wood moisture meters is almost solely dependent on wood density; that is because wood species that have differing wood density but the same absolute amount of water will have different MC values because the definition of MC is the ratio of water weight to wood weight. Some online and other technical references that cite specific gravity (SG) values for different wood species list the SG when the wood is a different MC other than 12%. For example, some SG values listed are the values when the wood is dried all the way down to where the MC is actually zero. Other listed values are when the wood is “green” at perhaps 80% MC or even higher.

The reason that it matters what the MC was when the SG was determined is that the volume of a wood sample will shrink when it is dried down from high MC values to lower MC values. So as the volume of the wood sample shrinks, the density (SG) of the wood increases because the formula for the wood density is the weight of the wood sample divided by the volume of the wood sample, or more simply the ratio of the weight of the wood to its volume. As the weight stays the same during shrinkage, the volume decreases. Online and other references will not only provide SG values at some specific MC but also their “shrinkage ratio”. The shrinkage ratio is defined to be the percent of the volume of the wood that shrinks per decrease in MC value. For instance, one might see a 2% shrinkage ratio which means that for every 1% drop in MC the wood will shrink by 2% of its volume.

Wagner chose to calibrate its meters at a nominal 12% MC because this is close to where most wood will be in service and will be measured by our meters. Therefore we publish SG values for wood species to be used by our meters that correlate to a 12% MC value. Since online and other references publish SG values at sometimes 0% MC or “green” MC, you will often see different values online than what we publish. We correct these published values by applying correction factors based on MC at referenced SG values and shrinkage ratio published values. It should be noted that a wood sample will not begin shrinking significantly until the MC drops below fiber saturation point, which is generally between 28% and 32%, so we use 30% as the average fiber saturation point.

As an example, let’s say we have a published SG value of 0.50 referenced to 0% MC with a shrinkage ratio of 0.1% of volume per percent MC. We want to convert to an SG value referenced to 12% MC. A sample at 12 % MC will be 1.2% larger in volume (swells 12 * 0.1%). Since 0.50 equals the weight of the sample divided by volume, we now know the volume will actually be 1.2% larger, so the SG should be adjusted by a factor of 1 divided by (1 + 1.2%) or 1 divided by (1.012) = 0.50/1.012 = 0.49). So, in this specific case, the 12 % MC referenced SG value will be slightly less than the published value referenced at 0% MC.