Title 3 from the Pitt Rivers Museum History, 1884

Table of Contents
Comparative Stats
- Comparative Stats

Pitt Rivers Museum, collections up to 1945

Named collectors - Comparative statistics

A. Named collectors collections given to the Pitt Rivers Museum

[article ID:19]

Questions answered:

A1. How many objects were donated by the named collectors in total?

A2. How many objects were collected in the field by each of the named collectors?

A3. How many objects were owned by the named collectors as an ‘other owner’ in total?

A4. How many objects are linked to the collector in these three ways (ie factoring out overlaps)

A5. Were other family members involved in the collections?

	Balfour	Blackwood	Hutton	*Pitt Rivers [up to 1945]**	Seligman **	Tylor
Donated by named collector in total	12,709	3,620	3,520	17,802	4,882	1,419
Field collected by named collector in total	9,716	3,351	3,369	4,464	4,625	982
Named collector as other owner	11,101	3,359	3,390	1	4,844	4,223
Total number of objects linked to named collector in total	12,732	3,622	3,546	17803	4,884	4,325
Were other family members involved?	Yes	No	No	Yes	Yes	Yes
Relation- ship to named collector	Wife	-	-	Son [separate]	Wife	Wife

* The reason that Pitt Rivers has the date 1945 associated with this table is that since 1945 a good number of found unentered items from the founding collection have been retrieved and added to the collections management database, objects prm, these have been excluded from this table but they do in fact form part of the collection received in 1884.

** It is difficult to separate Charles and Brenda’s collections so in effect they have been taken together.

Summary:

The largest overall collection is associated with Pitt Rivers himself, at nearly half as great again as the next largest collector, Balfour.
The named collectors as donors in descending order of size of collections:

Pitt Rivers

Balfour

Seligmans

Blackwood

Hutton

Tylor

Field collections by named collectors in descending order of size of field collection:

Balfour

Seligmans

Pitt Rivers

Hutton

Blackwood

Tylor

B. Profiling the collections as a whole

B1. Split of each named collectors collection between archaeology and ethnography

[article ID:21]

	Balfour	Blackwood	Hutton	Pitt Rivers	Seligmans	Tylor	Global colls.
% Arch.	32	7	3	53	86	49	34
% Ethno.	66	86	94	41	10	50	56
% Arch and / or Ethno	2	7	3	6	4	1	10

The highest percentage of collections that are ethnographic belong to Hutton, who scarcely collected archaeological objects, the lowest are those of the Seligmans. The highest percentage of objects that are archaeological is again the Seligmans and the lowest is Hutton. These two collections are much more biased than the others, with Tylor having the most balanced (basically a 50 - 50 split between the two camps), Pitt Rivers being next most balanced and Balfour’s collection being split two thirds to ethnography and one third to archaeology. Most of the collections have relatively few items which are not clearly archaeological or ethnographic, with Blackwood and Pitt Rivers having the highest number but still low comparatively. None of them really matches the pattern for the collections up to 1945 as a whole (see last column and chart).

B2. Split of each named collectors collection between continents

[article ID:22]

	Balfour	Blackwood	Hutton	Pitt Rivers	Seligmans	Tylor	Global colls.
% Africa	22	0	0	9	72	7	26
% Americas	7	15	0	8	0	16	9
% Asia	15	1	99	14	13	22	22
% Australia	1	0	0	2	6	34	10
% Europe	52	13	1	58	5	19	23
% Oceania	2	71	0	7	4	1	9
% Unknown	1	0	0	2	0	1	1

None of the collections really match the division between continents of the overall PRM collections up to 1945. Balfour, Pitt Rivers, and Tylor have some representation from every continent in their collections; Blackwood, Hutton and (to a lesser extent) the Seligmans have a less global collection, with Hutton definitely having the most biased geographically with a whopping 99 per cent of his collections from one continent (Asia).

B3. What percentage of each archaeological collection came from each continent?

[article ID:23]

B4. What percentage of each ethnographic collection came from each continent?

[article ID:24]

NB There is no chart for Hutton ’s ethnography as it is overwhelmingly Asian.

B5. Composite answer to B1 - B4.

[article ID:25]

		Balfour	Blackwood	Hutton	Pitt Rivers	Seligmans	Tylor	Global
% Africa	A	12	0	0	1	66	2
% Africa	E	10	0	0	8	3	4
% Americas	A	1	4	0	1	0	6
% Americas	E	6	11	0	5	0	10
% Asia	A	1	0	2	0	12	1
% Asia	E	15	1	94	13	2	22
% Australia	A	0	0	0	0	6	34
% Australia	E	1	0	0	2	0	1
% Europe	A	19	3	1	51	6	4
% Europe	E	33	10	0	6	0	15
% Oceania	A	0	0	0	0	0	0
% Oceania	E	2	65	0	7	5	1

NB of course in most instances the collectors totals in this table do not add up to 100 per cent as either the items of less than 1 per cent spoil the addition or else artefacts which are neither archaeological or ethnographic are significant but are not included in the above table.

Significant figures are highlighted in red. In each case the collector seems to have one predominating area in his collection:

Balfour - European ethnography

Blackwood - Oceanian ethnography

Hutton - Asian ethnography

Pitt Rivers - European archaeology

Seligmans - African archaeology

Tylor - Australian archaeology (with Asian ethnography as a close second)

B6. Which countries were important to each named collector in their collections?

[article ID:26]

Please note for all tables in this section: we have calculated these using the 'up to 1945' database, for Balfour in particular this will mean that the total number of objects given in the field collector tables do not match these figures in any way as they were calculated using the on-line up to 2003 database which includes a large number of Balfour material which was found, after his death, unentered. For this reason (and in order to work out what percentages of particular collections each class represents) we have calculated the total number of objects up to 1945 based on the 'up to 1945' database which is given at the end of the table.

Readers are reminded yet again that a single object can, of course, have more than one country assigned to it during the cataloguing and accessioning process, therefore we have taken great care not to add together countries and set them against the total number of objects in my summary unless we have excluded any double counting between categories.

Named collectors and countries as field collectors

[article ID:27]

Note that the countries in blue are non-colonial countries, the countries in red have been part of the British Empire. Countries in green have no objects from them in the collections of any of the named collectors [NC after their name means Non-colonial, C = colonial], all zero figures have been coloured green to make it easier to spot numbers. Country names in plum mean that objects from there are present in each named collection

Countries	Seligman	Tylor	Pitt Rivers	Balfour	Blackwood	Hutton
Afghanistan [NC]	0	0	0	0	0	0
Albania	0	0	0	27 some poss other Balkan places]	0	0
Algeria	487	4	0	65	0	0
American Samoa [NC]	0	0	0	0	0	0
Andaman Islands India [C]	0	0	0	0	0	0
Andorra [NC]	0	0	0	0	0	0
Angola	0	0	0	6 [some poss other places]	0	0
Anguilla [C]	0	0	0	0	0	0
Antigua [C]	0	0	0	0	0	0
Argentina	0	0	0	4 [poss Chile]	0	0
Armenia [NC]	0	0	0	0	0	0
Aruba [NC]	0	0	0	0	0	0
Ascension Island [C]	0	0	0	0	0	0
Australia	279	0	0	138	0	0
Australia [Cocos (Keeling) Islands [C]	0	0	0	0	0	0
Australia [Norfolk Island][C]	0	0	0	0	0	0
Austria	0	34	17 [1 poss Italy]	92 [some other places]	7	0
Azerbaijan [NC]	0	0	0	0	0	0
Bahamas [C]	0	0	0	0	0	0
Bahrain [C]	0	0	0	0	0	0
Bangladesh	0	0	0	0	0	2
Barbados	0	0	0	7	0	0
Belarus [NC]	0	0	0	0	0	0
Belgium	0	0	1 [poss Germany]	89	1	0
Belize [C]	0	0	0	0	0	0
Benin Republic	0	0	0	2	0	0
Bermuda [C]	0	0	0	0	0	0
Bhutan [NC]	0	0	0	0	0	0
Bolivia	0	0	0	37 [some poss Peru]	0	0
Bosnia Herzegovina Yugoslavia	0	1	0	97	0	0
Botswana	0	0	0	15 [some poss S Africa etc]	0	0
Brazil	0	0	0	20	0	0
Brunei	0	0	0	1 [poss Indonesia etc]	0	0
Bulgaria [NC]	0	0	0	0	0	0
Burkina Faso	0	0	0	2 [poss Ivory Coast etc]	0	0
Burundi	0	0	0	5 [poss Tanzania etc]	0	0
Cambodia [NC]	0	0	0	0	0	0
Cameroon Cameroun	0	0	0	4	0	0
Canada	5 [all poss USA]	39 [some poss USA]	0	49 [some USA]	46	0
Cape Verde [NC]	0	0	0	0	0	0
Cayman Islands [C]	0	0	0	0	0	0
Central African Republic	0	0	0	6 [most poss Congo etc]	0	0
Chad [NC]	0	0	0	0	0	0
Chechnya [NC]	0	0	0	0	0	0
Chile	0	0	0	5 [most poss Argentina]	0	0
China [Excluding Hong Kong]	16 [some poss Tibet or Mongolia]	0	0	233 [some poss Tibet]	1	0
China [Hong Kong] [C]	0	0	0	0	0	0
Colombia [NC]	0	0	0	0	0	0
Comoros Islands [NC]	0	0	0	0	0	0
Congo, Democratic Republic of	0	0	0	39 [some poss other Congo]	0	0
Congo, People ’s Republic of	0	0	0	3 [all poss other places]	0	0
Cook Islands	0	0	0	4 [poss Tubuai]	0	0
Costa Rica [NC]	0	0	0	0	0	0
Ivory Coast	0	0	0	3 [poss other places]	0	0
Croatia Yugoslavia	0	0	0	13	0	0
Cuba [NC]	0	0	0	0	0	0
Cyprus	0	4	0	5 [some poss other places]	0	0
Czech Republic	0	0	2 [1 poss Hungary]	2	0	0
Denmark	11 [all poss Sweden or Norway too]	11 [some poss Germany]	28	66	6	0
Djibouti	1 [poss Somalia]	0	0	0	0	0
Dominica	0	0	0	1	0	0
Dominican Republic [NC]	0	0	0	0	0	0
East Timor	0	0	0	1 [poss Indonesia]	0	0
Easter Island Rapa Nui [NC]	1	0	0	0	0	0
Ecuador [NC]	0	0	0	0	0	0
Egypt	1,963	148	17	162	0	0
El Salvador	0	0	0	0	0	0
Equatorial Guinea [NC]	0	0	0	0	0	0
Eritrea [NC]	0	0	0	0	0	0
Estonia [NC]	0	0	0	0	0	0
Ethiopia	1	0	0	1	0	0
Falkland Islands [C]	0	0	0	0	0	0
Fiji	0	0	0	12	4	0
Finland	0	0	0	22	0	0
France	65	33	300	1,087	15	0
French Guiana	0	0	0	1 [poss Guiana etc]	0	0
Gabon	0	0	0	4 [1 poss other places]	0	0
Galapagos Islands Ecuador [NC]	0	0	0	0	0	0
The Gambia	0	0	0	3 [poss Senegal]	0	0
Gambier Islands French Polynesia [NC]	0	0	0	0	0	0
Georgia [NC]	0	0	0	0	0	0
Germany	0	10 [also poss Denmark]	10 [1 poss Belgium]	89	128	0
Ghana	107 [some poss Nigeria]	0	0	32	0	0
Gibraltar	0	0	0	1	0	0
Greece	33	11	0	76	2	0
Greenland	0	0	0	9 [some poss Canada or USA]	0	0
Grenada [C]	0	0	0	0	0	0
Guadeloupe [NC]	0	0	0	0	0	0
Guam[NC]	0	0	0	0	0	0
Guatemala [NC]	0	0	0	0	0	0
Guinea [NC]	0	0	0	0	0	0
Guinea-Bissau [NC]	0	0	0	0	0	0
Guyana	0	5	0	7	0	0
Haiti [NC]	0	0	0	0	0	0
Heard & McDonald Islands [NC]	0	0	0	0	0	0
Honduras [NC]	0	0	0	0	0	0
Hungary	0	13	4 [1 poss Czech]	6 [1 poss Romania]	0	0
Iceland	0	0	0	20	0	0
India	2 [1 poss Nepal]	0	0	324 [some poss Burma]	0	3298
'British India'	2	0	0	84	0	7
Indonesia	5	0	0	24 [some Australia poss]	0	0
Iran	0	0	0	10	0	0
Iraq	0	0	0	1	0	0
Ireland	0	2	15 [some poss UK]	32 [some poss UK]	5	0
Irian Jaya (Indonesia)	2 [def, + 10 poss PNG]	0	0	23 [some poss PNG etc]	0	0
Israel	1 [poss Palestine]	1 [poss Palestine etc]	0	46 [some poss Palestine etc]	0	0
Italy	2 [1 poss France 1 poss Sri Lanka!]	72	2 [poss Germany or Austria]	285	0	0
Jamaica	0	0	0	0	0	0
Japan	39	0	0	138	7	0
Jordan	0	1 [poss Palestine etc]	0	8 [all poss Palestine etc]	0	0
Kazakhstan [NC]	0	0	0	0	0	0
Kenya	2	0	0	94	0	0
Kiribati	0	0	0	3	0	0
Korea	0	0	0	44	0	0
Kuwait [C]	0	0	0	0	0	0
Kyrgyzstan [NC]	0	0	0	0	0	0
Laos [NC]	0	0	0	0	0	0
Latvia [NC]	0	0	0	0	0	0
Lebanon	0	0	0	19 [all poss UK]	0	0
Lesotho [C]	0	0	0	0	0	0
Liberia	0	0	0	2 [poss Austria]	0	0
Libya [NC]	0	0	0	0	0	0
Liechtenstein [NC]	0	0	0	0	0	0
Lithuania [NC]	0	0	0	0	0	0
Luxembourg [NC]	0	0	0	0	0	0
Macau [NC]	0	0	0	0	0	0
Macedonia Yugoslavia [NC]	0	0	0	0	0	0
Madagascar	0	0	0	3	0	0
Malawi	0	0	0	6	0	0
Malaysia	12	0	0	32	0	0
Maldives [C]	0	0	0	0	0	0
Mali [NC]	0	0	0	0	0	0
Malta	0	0	1	131	19	0
Marquesas Islands French Polynesia	0	0	0	4	0	0
Marshall Islands [NC]	0	0	0	0	0	0
Martinique France [NC]	0	0	0	0	0	0
Mauritania [NC]	0	0	0	0	0	0
Mauritius [C]	0	0	0	0	0	0
Mayotte [NC]	0	0	0	0	0	0
Melilla [NC]	0	0	0	0	0	0
Mexico	0	140	0	59	203	0
Micronesia, Federated States of [Caroline Islands]	1 [poss Palau]	0	0	0	0	0
Moldova [NC]	0	0	0	0	0	0
Monaco [NC]	0	0	0	0	0	0
Mongolia	1 [poss China]	0	0	6 [poss China]	0	0
Montenegro Yugoslavia [NC]	0	0	0	0	0	0
Montserrat [C]	0	0	0	0	0	0
Morocco	79	0	0	59	0	0
Mozambique (Moçambique)	0	0	0	2 [1 poss S Africa]	0	0
Myanmar (Burma)	0	0	0	80	0	5
Namibia	0	0	0	4 [all poss other places]	0	0
Nauru [C]	0	0	0	0	0	0
Nepal	1 [poss India]	0	0	2	0	3
The Netherlands	0	8	0	59	1	0
Netherlands Antilles [NC]	0	0	0	0	0	0
New Caledonia	0	0	0	7	0	0
New Zealand	6	0	0	23	15	0
Nicaragua	0	0	0	1	0	0
Nicobar Islands India	0	0	0	1	0	0
Niger [NC]	0	0	0	0	0	0
Nigeria	100 [?all poss Ghana]	0	0	265	0	0
Niue [C]	0	0	0	0	0	0
North Korea [NC]	0	0	0	0	0	0
Northern Mariana Islands [NC]	0	0	0	0	0	0
Norway	13 [all but 2 poss Sweden or Denmark]	17	0	273	0	0
Oman [NC]	0	0	0	0	0	0
Pakistan	0	0	0	3	0	0
Palau, Republic of [Caroline Islands]	1 [poss Micronesia]	0	0	1	0	0
Palestine	2 [1 poss Israel]	1 [poss Jordan etc]	0	38 [most other places poss]	0	0
Panama [NC]	0	0	0	0	0	0
Papua New Guinea	212	0	0	101 [some poss Australia or Irian Jaya]	2447	0
Paraguay	0	0	0	6	0	0
Peru	4 [2 poss Egypt]	0	0	49 [some other places]	0	0
Philippines	0	0	0	2	0	0
Pitcairn Islands [C]	0	0	0	0	0	0
Poland	0	0	0	2 [poss Germany etc]	7 [some poss Germany]	0
Portugal	0	0	1	30	0	0
Portugal [Madeira]	0	2	0	0	0	0
Puerto Rico [NC]	0	0	0	0	0	0
Qatar [C]	0	0	0	0	0	0
Reunion [NC]	0	0	0	0	0	0
Romania	0	0	0	1 [poss Hungary]	0	0
Ross Dependency [NC]	0	0	0	0	0	0
Russia [excluding Siberia]	2	8	0	38	0	0
Russia [Siberia]	0	0	0	7	0	0
Rwanda	0	0	0	5 [poss other places]	0	0
Samoa	0	0	0	1	0	0
San Marino [NC]	0	0	0	0	0	0
Sao Tome [NC]	0	0	0	0	0	0
Saudi Arabia [NC]	0	0	0	0	0	0
Senegal	0	0	0	3 [poss Gambia or Austria]	0	0
Serbia Yugoslavia	0	0	0	5 [some poss Bosnia]	0	0
Seychelles [NC]	0	0	0	0	0	0
Sierra Leone	0	0	0	1	0	0
Singapore	1 [poss Malaysia]	0	0	2 [poss Malaysia etc]	0	0
Slovakia [NC]	0	0	0	0	0	0
Slovenia	0	0	0	1 [poss Croatia etc]	0	0
Society Islands French Polynesia	0	0	0	1	0	0
Solomon Islands	0	0	0	24	380 [all PNG]	0
Somalia	1 [poss Djibouti]	0	0	1 [poss Yemen]	0	0
South Africa	78	0	0	430	0	0
South Georgia [C]	0	0	0	0	0	0
South Korea	1	0	0	0	0	0
South Sandwich Islands [C]	0	0	0	0	0	0
Spain	1	50	0	6	0	0
Sri Lanka	518	0	0	13 [some poss other places]	0	1
St Helena [C]	0	0	0	0	0	0
St Kitts - Nevis [C]	0	0	0	0	0	0
St Lucia [C]	0	0	0	0	0	0
Sta Pierre & Miquelon [NC]	0	0	0	0	0	0
St Vincent & the Grenadines [C]	0	0	0	0	0	0
Sudan	409	2 [poss Egypt]	0	33	0	0
Surinam Suriname	0	0	0	1 [poss French Guiana]	0	0
Swaziland [C]	0	0	0	0	0	0
Sweden	11 [all poss Norway or Denmark too]	9	12	355 [some poss other places]	1	0
Switzerland	5	0	1 [poss France]	54 [some poss France]	0	0
Syria	0	1	0	9	0	0
Taiwan	0	0	0	21	0	0
Tajikistan [NC]	0	0	0	0	0	0
Tanzania	104	0	0	23	0	0
Thailand	0	0	0	5 [poss other places]	0	0
Tibet	2 [1 poss China]	0	0	36 [most poss India]	0	0
Togo [NC]	0	0	0	0	0	0
Tokelau Islands [C]	0	0	0	0	0	0
Tonga	0	0	0	3	0	0
Trinidad & Tobago [C]	0	0	0	0	0	0
Tristan da Cunha St Helena [C]	0	0	0	0	0	0
Tuamotu Archipelago French Polynesia [C]	0	0	0	0	0	0
Tubuai Islands French Polynesia	0	0	0	5 [most poss Cook Ids]	0	0
Tunisia	50	0	0	24	0	0
Turkey	1	0	1 [poss Ukraine]	18	12	0
Turkmenistan [NC]	0	0	0	0	0	0
Turks & Caicos Islands [C]	0	0	0	0	0	0
Tuvalu [C]	0	0	0	0	0	0
Uganda	1 [poss Sudan]	0	0	52	0	0
UK	144	329	4,068	2,652	150	51
Ukraine	0	0	1 [poss Turkey]	5	0	0
United Arab Emirates [NC]	0	0	0	0	0	0
Uruguay [NC]	0	0	0	0	0	0
USA	5 [all poss Canada]	198	0	80	271	0
USA [Hawaii]	0	0	0	1	0	0
Uzbekistan [NC]	0	0	0	0	0	0
Vanuatu	0	0	0	5	0	0
Vatican City	0	0	0	8	0	0
Venezuela [NC]	0	0	0	0	0	0
Vietnam [NC]	0	0	0	0	0	0
Virgin Islands [C]	0	0	0	0	0	0
Wallis & Futuna Islands [NC]	0	0	0	0	0	0
Western Sahara [NC]	0	0	0	0	0	0
Western Samoa [C]	0	0	0	0	0	0
Windward Islands [C]	0	0	0	0	0	0
Wrangel Island (Vrangelya Ostrov) [NC]	0	0	0	0	0	0
Yemen	0	0	0	6 [1 poss Somalia]	1	0
Yugoslavia [NC]	0	0	0	see sep countries	0	0
Zambia	0	0	0	212 [some poss Zimbabwe]	0	0
Zimbabwe	0	0	0	523 [some poss Zambia]	0	0
Unknown or only continental provenance given	12	-	-	86	-	1
	Seligman*	Tylor **	Pitt Rivers	Balfour	Blackwood	Hutton

* Note that to calculate the Seligman figures we have just typed Seligman in field collector field, which means that it will catch items collected by both Brenda and Charles Seligman

** Whereas for Tylor's field collection we searched on his full name

Conclusions about countries and named collectors as field collectors:

[article ID:28]

The number of countries from which Balfour might have collected is very high, this does not so much reflect the fact that he travelled a good deal (though he did, mainly for short periods over large areas) but that there is still some uncertainty about where exactly he travelled to or collected from. He did not always record the destinations of all summer vacations and family holidays.

Named collectors and countries as donors

[article ID:29]

[ie including their secondary collections as well]

Countries	Seligman	Tylor	Pitt Rivers	Balfour	Blackwood	Hutton
Afghanistan	0	0	4 [some poss India]	1 [poss India or Pakistan]	0	0
Albania	0	1	6 [1 poss Slovenia]	37 [some poss Bosnia etc]	0	0
Algeria	487	20	50	605	0	0
American Samoa [NC]	0	0	0	0	0	0
Andaman Islands India	0	0	364	2	0	0
Andorra [NC]	0	0	0	0	0	0
Angola	0	0	12 [2 poss also Congo]	11 [some poss Congo]	0	0
Anguilla [C]	0	0	0	0	0	0
Antigua [C]	0	0	0	0	0	0
Argentina	0	1 poss Chile	97 [many poss Chile]	8 [all poss other places]	0	0
Armenia [NC]	0	0	0	0	0	0
Aruba [NC]	0	0	0	0	0	0
Ascension Island [C]	0	0	0	0	0	0
Australia	288	1,543	410	190	0	0
Australia [Cocos (Keeling) Islands [C]	0	0	0	0	0	0
Australia [Norfolk Island] [C]	0	0	0	0	0	0
Austria	0	34	22 [some poss Italy]	101	7	0
Azerbaijan [NC]	0	0	0	0	0	0
Bahamas [C]	0	0	0	0	0	0
Bahrain [C]	0	0	0	0	0	0
Bangladesh	0	0	3	11	0	3
Barbados	0	1	5 [some poss Trinidad]	7	0	0
Belarus [NC]	0	0	0	0	0	0
Belgium	0	0	32 some poss France etc	91 [some poss other countries]	1	0
Belize [C]	0	0	0	0	0	0
Benin Republic	0	0	10 [1 poss Nigeria]	2	0	0
Bermuda [C]	0	0	0	0	0	0
Bhutan	0	0	2 [poss lots of other places]	0	0	0
Bolivia	0	0	1 [poss Peru]	41 [most could be other place]	0	0
Bosnia Herzegovina Yugoslavia	0	1	0	97	0	0
Botswana	1	0	20	15 [some poss other places]	0	0
Brazil	0	0	22 [1 poss Guyana]	24	0	0
Brunei	0	0	0	1 [poss Malaysia or Indonesia]	0	0
Bulgaria	0	0	12	0	0	0
Burkina Faso	0	0	0	2 [poss Ivory Coast]	0	0
Burundi	0	0	0	12 [all poss other places]	0	0
Cambodia	0	0	2	1 [poss Vietnam etc]	0	0
Cameroon Cameroun	0	0	10 [some poss other places]	5 [1 poss Chad]	0	0
Canada	5 [NB shared with USA]	291 [+ 35 that are USA or Canada]	134 [+ 430 poss USA or Greenland]	57 [[+ 24 USA or Canada]	46	0
Cape Verde	0	0	1	0	0	0
Cayman Islands [C]	0	0	0	0	0	0
Central African Republic	0	2	1 poss Sudan or Congo	9 [most poss other places]	0	0
Chad	0	0	0	2 [poss Cameroon]	0	0
Chechnya [NC]	0	0	0	0	0	0
Chile	0	1 [poss Argentine]	123 [most poss Argentina]	7 [most poss Argentina]	0	0
China [Excluding Hong Kong]	16	50	338 [some poss Japan]	330 [some poss Tibet]	1	0
China [Hong Kong] [C]	0	0	0	0	0	0
Colombia	0	0	3 [1 poss Nicaragua]	0		0
Comoros Islands [NC]	0	0	0	0	0	0
Congo, Democratic Republic of	5	0	50 [most poss other Congo or Angola]	80 [some poss other places]	0	0
Congo, People's Republic of	0	0	31 [most poss other Congo or Angola]	6 [most poss other places]	0	0
Cook Islands	0	0	23 some poss Tubuai]	6 [most could be Tubuai]	0	0
Costa Rica	0	0	12	0	0	0
Ivory Coast	0	0	1 [poss Liberia]	3 [most poss other places]	0	0
Croatia Yugoslavia	0	0	5	14	0	0
Cuba	0	0	1 [poss St Lucia]	0	0	0
Cyprus	0	5	199	21 [some poss other places]	0	0
Czech Republic	0	0	4 [2 poss Hungary or Poland]	4	0	0
Denmark	11 [poss Sweden or Norway too]	11 [10 poss Germany]	392	67	6	0
Djibouti	1 [poss Somalia]	0	0	0	0	0
Dominica	0	0	0	1	0	0
Dominican Republic	0	2 poss Puerto Rico	0	0	0	0
East Timor	0	1 poss Indonesia	10 [poss Indonesia]	1 [poss Indonesia]	0	0
Easter Island Rapa Nui	1	0	5	1	0	0
Ecuador	0	0	48	1	0	0
Egypt	2146	164	232	228 [some poss Iraq or Cyprus]	0	0
El Salvador [NC]	0	0	0	0	0	0
Equatorial Guinea	0	0	3 [1 poss Cameroon]	0	0	0
Eritrea [NC]	0	0	0	0	0	0
Estonia [NC]	0	0	0	0	0	0
Ethiopia	1	2	27 [most poss Egypt or Sudan]	3	0	0
Falkland Islands [C]	0	0	0	0	0	0
Fiji	0	6	169	18	4	0
Finland	0	0	5 [all poss Sweden or Norway]	22	0	0
France	65	33	1364	1319	15	0
French Guiana	0	0	see individual areas	1 [poss Guyana or Surinam]	0	0
Gabon	0	0	306	4 [1 poss Congo etc]	0	0
Galapagos Islands Ecuador [NC]	0	0	0	0	0	0
The Gambia	0	0	12 [all poss other places]	3 [all poss Austria or Senegal]	0	0
Gambier Islands French Polynesia	0	0	1 [poss Tubuai]	0	0	0
Georgia [NC]	0	0	0	0	0	0
Germany	0	30 [10 poss Denmark]	68	115	128	0
Ghana	110 [some poss also Nigeria]	2	44	32	0	0
Gibraltar	0	0	0	1 [poss France]	0	0
Greece	33	11	148	83	2	0
Greenland	0	0	148 [most also poss USA and Canada]	21 [some poss USA or Canada]	0	0
Grenada [C]	0	0	0	0	0	0
Guadeloupe [NC]	0	0	0	0	0	0
Guam [NC]	0	0	0	0	0	0
Guatemala	0	0	1	2	0	0
Guinea	0	0	4 [could be Guinea-Bissau or Sierra Leone]	0	0	0
Guinea-Bissau	0	0	12 [could be Senegal or Gambia]	0	0	0
Guyana	0	0	77	7 [1 poss Gabon etc]	0	0
Haiti [NC]	0	0	0	0	0	0
Heard & McDonald Islands [NC]	0	0	0	0	0	0
Honduras	0	0	3	0	0	0
Hungary	0	13	13 [most could be other places]	14	0	0
Iceland	0	0	2	21	0	0
India	2	52 [some poss Burma]	208	474 [some poss Tibet]	0	3455
'British India' *** [C]	2	60	352	95	1	7
Indonesia	6	10	55 [many could be other places]	69	0	0
Iran	0	23	20	23	0	0
Iraq	0	1	16	20 [many poss other places]	0	0
Ireland	0	7	519 [some could be UK]	44 [some poss UK]	5	0
Irian Jaya (Indonesia)	12 [most possibly PNG as well]	2 [poss PNG or Indonesia]	119 [most could be PNG etc]	42 [most poss PNG]	0	0
Israel	1	2 poss other countries	12 [most could be Palestine]	110 [most poss Palestine etc]	0	0
Italy	2 both could be other countries	0	348	331	1	0
Jamaica	0	0	2	0	0	0
Japan	50	669	295 [some poss China]	270	7	0
Jordan	0	2 [see Israel]	7 [poss some Israel or Palestine]	46 [most poss Israel Palestine etc ]	0	0
Kazakhstan [NC]	0	0	0	0	0	0
Kenya	2	0	1 [poss Ethiopia]	130	0	0
Kiribati	0	1	40	3	0	0
Korea	0	1	22	54	0	0
Kuwait [C]	0	0	0	0	0	0
Kyrgyzstan [NC]	0	0	0	0	0	0
Laos	0	0	0	1 [poss Vietnam etc]	0	0
Latvia [NC]	0	0	0	0	0	0
Lebanon	0	0	1 [poss Palestine or Israel]	27 [most also UK]	0	0
Lesotho	0	0	3	0	0	0
Liberia	0	0	7 [poss some from other places]	2 [also Austria]	0	0
Libya	0	0	14	0	0	0
Liechtenstein [NC]	0	0	0	0	0	0
Lithuania [NC]	0	0	0	0	0	0
Luxembourg [NC]	0	0	0	0	0	0
Macau [NC]	0	0	0	0	0	0
Macedonia Yugoslavia	0	0	0	1	0	0
Madagascar	0	2	8	8 [some poss other places]	0	0
Malawi	0	0	0	38	0	0
Malaysia	12	15 [possibly also Thailand or Singapore]	38 [most could be other places]	50 [some poss other places]	0	0
Maldives [C]	0	0	0	0	0	0
Mali	0	0	1 [could be Senegal or Gambia]	0	0	0
Malta	0	0	15	135	18	0
Marquesas Islands French Polynesia	0	1	34	4	0	0
Marshall Islands	0	0	3	0	0	0
Martinique France [NC]	0	0	0	0	0	0
Mauritania [NC]	0	0	0	0	0	0
Mauritius [C]	0	0	0	0	0	0
Mayotte [NC]	0	0	0	0	0	0
Melilla [NC]	0	0	0	0	0	0
Mexico	0	141	74	102	203	0
Micronesia, Federated States of [Caroline Islands]	1 [poss also Palau]	0	2 [1 poss Palau]	0	0	0
Moldova [NC]	0	0	0	0	0	0
Monaco [NC]	0	0	0	0	0	0
Mongolia	1 [poss also China]	0	0	11 [poss also China]	0	0
Montenegro Yugoslavia	0	0	0	5	0	0
Montserrat [C]	0	0	0	0	0	0
Morocco	79	0	1	60	0	0
Mozambique (Moçambique)	0	0	2 [1 poss S Africa]	3 [1 poss S Africa]	0	0
Myanmar (Burma)	0	25 [2 possibly India]	117 [some poss other places]	223 [some poss other places]	0	5
Namibia	0	0	7 [some poss S Africa]	4 [all poss other places]	0	0
Nauru [C]	0	0	0	0	0	0
Nepal	1 [poss also India]	0	19 [some poss other places]	8 [1 poss China]	0	3
The Netherlands	0	11	4 [1 poss Germany]	82	10	0
Netherlands Antilles	0	0	0	1	0	0
New Caledonia	0	0	63	9	0	0
New Zealand	6	33	134	24	15	0
Nicaragua	0	0	12	1	0	0
Nicobar Islands India	0	0	219	5	0	0
Niger	0	0	2	1	0	0
Nigeria	106 [Many poss also Ghana]	0	97	316	0	0
Niue	0	1	16	0	0	0
North Korea [NC]	0	0	0	0	0	0
Northern Mariana Islands [NC]	0	0	0	0	0	0
Norway	13 [11 poss Sweden or Denmark too]	17	70 [some poss Sweden or Finland]	286	0	0
Oman [NC]	0	0	0	0	0	0
Pakistan	0	1	43	5	1	0
Palau, Republic of [Caroline Islands]	1 [poss also Micronesia	0	1 [poss Micronesia]	1	0	0
Palestine	2	2 [poss Israel etc]	12 [most poss Israel etc]	102 [most poss other places]	0	0
Panama	0	0	1	0	0	0
Papua New Guinea	212	5 [1 poss Irian Jaya]	260 [many poss Irian Jaya]	168 [some poss Irian Jaya etc]	2,570	0
Paraguay	0	0	1	14 [I poss Bolivia etc]	0	0
Peru	4 [2 poss Egypt]	1	141	49 [some other places]	0	0
Philippines	0	2	6	4	0	0
Pitcairn Islands	0	0	2	0	0	0
Poland	0	0	2 [poss Norway or Czech Rep]	2 [poss Germany]	7 [poss Germany]	0
Portugal	0	0	14 [some poss Spain]	39	0	0
Portugal [Madeira]	0	2	1	0	0	0
Puerto Rico	0	2 [poss Dom Republic]	0	0	0	0
Qatar [C]	0	0	0	0	0	0
Reunion [NC]	0	0	0	0	0	0
Romania	0	0	0	2 [1 poss Hungary]	0	0
Ross Dependency [NC]	0	0	0	0	0	0
Russia [excluding Siberia]	2	11	77	46	0	0
Russia [Siberia]	0	0	4	9	0	0
Rwanda	0	0	0	12 [all poss other places]	0	0
Samoa	0	0	38	2	0	0
San Marino [NC]	0	0	0	0	0	0
Sao Tome	0	0	0	0	0	0
Saudi Arabia [NC]	0	0	0	0	0	0
Senegal	0	0	12 [most poss other places]	3 [all poss Gambia and Austria]	0	0
Serbia Yugoslavia	0	0	0	5	0	0
Seychelles [C]	0	0	0	0	0	0
Sierra Leone	1	0	10 [some poss other places]	2	0	0
Singapore	1 [poss Malaysia]	6 [see Malaysia]	2 [both poss other places]	6 [1 poss other places]	0	0
Slovakia [NC]	0	0	0	0	0	0
Slovenia	0	0	1 [poss Albania]	1 [poss other places]	0	0
Society Islands French Polynesia	0	0	27	1	0	0
Solomon Islands	0	0	210	30	386 [actually PNG]	1
Somalia	1 [poss Djibouti]	0	9	1 [poss Yemen]	0	0
South Africa	86 [some also possibly Botswana]	109	210	441	0	0
South Georgia [C]	0	0	0	0	0	0
South Korea [NC]	0	0	0	0	0	0
South Sandwich Islands [C]	0	0	0	0	0	0
Spain	1	50 [some poss France or Italy]	72	18	0	0
Sri Lanka	518 [10 possibly Italian]	0	38 [some could be India etc]	22 [some poss other places]	0	1
St Helena [C]	0	0	0	0	0	0
St Kitts - Nevis [C]	0	0	0	0	0	0
St Lucia	0	0	2 [1 could be Cuba]	0	0	0
Sta Pierre & Miquelon [NC]	0	0	0	0	0	0
St Vincent & the Grenadines	0	0	1	0	0	0
Sudan	417	2 [poss Egypt]	141 [some poss other places]	46 [some poss Congo etc]	0	0
Surinam Suriname	0	0	1	1 [poss Guyana etc]	0	0
Swaziland [C]	0	0	0	0	0	0
Sweden	11 [poss Denmark or Norway]	9	91 [some poss Norway or Finland]	362	1	0
Switzerland	5	0	336	79	0	0
Syria	0	6	5	30	0	0
Taiwan	0	0	2 [poss China]	22	0	0
Tajikistan [NC]	0	0	0	0	0	0
Tanzania	104	0	7	79 [some poss other places]	0	0
Thailand	0	17 [some see Malaysia]	9 [2 poss Burma]	13	0	0
Tibet	2 [1 poss China]	63	16 [some other places]	47 [some poss India]	0	0
Togo	3 [all poss Ghana]	0	0	0	0	0
Tokelau Islands	0	0	1 [poss NZ]	0	0	0
Tonga	0	0	60 [some poss Samoa]	4	0	0
Trinidad & Tobago	0	0	2 [1 poss Barbados]	0	0	0
Tristan da Cunha St Helena [C]	0	0	0	0	0	0
Tuamotu Archipelago French Polynesia	0	0	2	0	0	0
Tubuai Islands French Polynesia	0	0	10 [some poss other places]	6 [most poss Cook Ids]	0	0
Tunisia	50	0	2	24	0	0
Turkey	1	3	53	21	12	0
Turkmenistan [NC]	0	0	0	0	0	0
Turks & Caicos Islands [C]	0	0	0	0	0	0
Tuvalu	0	0	2	0	0	0
Uganda	2 [1 poss Sudan]	0	1 [poss Sudan]	97 [some poss other places]	0	0
UK	145	429	6445 [some poss Ireland]	3198	274	51
Ukraine	0	2	29 [some poss Russia]	8	0	0
United Arab Emirates [NC]	0	0	0	0	0	0
Uruguay [NC]	0	0	0	0	0	0
USA	5 [NB shared with Canada]	292	245 [430 poss Canada or Greenland]	79 [+ 24 USA or Canada]	287	0
USA [Hawaii]	0	0	0	7	0	0
Uzbekistan [NC]	0	0	0	0	0	0
Vanuatu	0	6	112	5	0	0
Vatican City	0	0	0	8	0	0
Venezuela [NC]	0	0	0	0	0	0
Vietnam	0	0	3	2 [1 poss other places]	0	0
Virgin Islands [C]	0	0	0	0	0	0
Wallis & Futuna Islands [NC]	0	0	0	0	0	0
Western Sahara [NC]	0	0	0	0	0	0
Western Samoa [C]	0	0	0	0	0	0
Windward Islands [C]	0	0	0	0	0	0
Wrangel Island (Vrangelya Ostrov) [NC]	0	0	0	0	0	0
Yemen	0	3	2	7 [2 poss other places]	1	0
Yugoslavia [NC] see sep countries	0	0	0	0	0	0
Zambia	0	1	1 [poss Congo]	224 [some poss Zimbabwe]	0	0
Zimbabwe	0	1	1 [poss S Africa]	573 [some poss Zambia]	0	0
Unknown or only continental provenance	27	80	1,499	735	-	1 [Asia]
	Seligman*	Tylor **	Pitt Rivers	Balfour	Blackwood	Hutton

Conclusions about named collectors and countries as donors:

[article ID:30]

B7. Which classes were most represented in the named collectors collections?

Named collectors and classes as field collectors

[article ID:32]

Named collectors as field collectors

Classes	Seligman	%	Tylor	%	Pitt Rivers	%	Balfour	%	Blackwood	%	Hutton field collector	%
	5	0	24	2	2	0	94	1	15	0	97	3
	85	2	11	1	25	0	182	2	221	7	97	3
Animal Gear	4	0	20	2	19	0	71	1	14	0	4	0
Bag	9	0	4	0	0	0	129	1	72	2	24	1
Barkcloth	17	0	0	0	0	0	5	0	118	4	3	0
Basketry	2	0	11	1	0	0	105	1	203	6	253	8
Body Art	0	0	5	0	0	0	62	1	37	1	28	1
Box	2	0	9	1	22	0	569	6	9	0	67	2
Carving	0	0	1	0	3	0	6	0	3	0	1	0
Ceremonial	7	0	7	1	1	0	87	1	79	2	88	3
Children	1	0	3	0	1	0	27	0	130	4	19	1
Clothing	16	0	30	3	22	0	191	2	258	8	438	13
Commemoration	3	0	1	0	0	0	2	0	3	0	64	2
Cordage	3	0	0	0	1	0	17	0	13	0	6	0
Currency	48	1	17	2	3	0	345	4	340	10	383	11
Dance	3	0	8	1	1	0	17	0	80	2	33	1
Death	9	0	19	2	12	0	142	1	23	1	117	3
Dwelling	2	0	3	0	48	1	23	0	23	1	57	2
Fan	0	0	0	0	0	0	7	0	12	0	5	0
Figure	21	0	185	19	13	0	782	8	138	4	159	5
Fire	0	0	7	1	20	0	976	10	49	1	115	3
Fishing	11	0	1	0	0	0	98	1	96	3	39	1
Food	21	0	34	3	18	0	170	2	220	7	107	3
Furniture Dwelling	11	0	0	0	0	0	48	0	21	1	5	0
Geology	634	14	7	1	17	0	131	1	28	1	3	0
Headhunting	0	0	0	0	0	0	0	0	0	0	98	3
Hunting	8	0	18	2	1	0	33	0	47	1	66	2
Insignia	38	1	2	0	0	0	40	0	1	0	9	0
Lighting	0	0	24	2	2	0	953	10	13	0	1	0
Lock	0	0	7	1	18	0	23	0	0	0	0	0
Marriage	0	0	11	2	0	0	31	0	6	0	6	0
Mask	0	0	0	0	0	0	2	0	9	0	0	0
Measurement	4	0	16	2	2	0	172	2	2	0	20	1
Medicine	4	0	7	1	4	0	76	1	25	1	28	1
Metallurgy	13	0	0	0	1	0	9	0	0	0	25	1
Model	2	0	5	0	2	0	47	0	68	2	65	2
Music	9	0	17	2	2	0	573	6	148	4	137	4
Narcotic	25	1	1	0	4	0	255	3	82	2	192	6
Navigation	2	0	1	0	0	0	38	0	33	1	1	0
Ornament & bead	364	8	130	13	16	0	496	5	684	20	511	15
Photograph	5	0	0	0	0	0	27	0	3	0	0	0
Physical Anthropology	0	0	2	0	65	2	35	0	74	2	88	3
Picture	10	0	83	8	0	0	58	1	47	1	2	0
Plant	5	0	7	1	78	2	109	1	79	2	45	1
Pottery	190	4	200	20	2,806	63	738	9	237	7	85	3
Punishment & Torture	2	0	1	0	2	0	12	0	0	0	1	0
Religion	29	1	283	29	22	0	1,053	11	116	4	218	6
Reproduction	47	1	124	13	5	0	339	3	2	0	8	0
Scientific Apparatus	0	0	0	0	0	0	1	0	0	0	0	0
Specimen	634	14	7	1	157	4	334	3	236	7	156	5
Sport	0	0	11	2	0	0	13	0	4	0	13	0
Status	7	0	0	0	0	0	84	1	47	1	406	12
Technique	30	1	2	0	1	0	268	3	33	1	24	1
Textile	15	0	24	2	12	0	426	4	22	1	211	6
Theatre	1	0	1	0	0	0	3	0	0	0	0	0
Time	0	0	5	0	1	0	31	0	0	0	3	0
Toilet	3	0	3	0	27	0	142	1	33	1	14	0
Tool [definite]	2,674	57	96	10	1,097	25	2,892	30	642	19	185	5
Tool or weapon	455	10	13	2	260	6	376	4	214	6	275	8
Toy & Game	5	0	215	22	3	0	119	1	138	4	34	1
Trade	31	1	9	1	0	0	157	2	328	10	86	3
Transport	1	0	1	0	1	0	61	1	32	1	89	3
Vessel	40	1	16	2	78	2	225	2	191	6	167	6
Weapon [definite]	220	5	120	12	41	1	1,066	11	304	9	824	24
Writing	42	1	22	2	3	0	365	4	10	0	23	1
Total number of objects field collected by named collectors	4,673 *	-	982 **	-	4,464	-	9,716	-	3,348	-	3,369	-
	Seligman*		Tylor **		Pitt Rivers		Balfour		Blackwood		Hutton

Significant collections for each named collector are marked in red (significance is taken as being 10 per cent or over).

Summary

[article ID:33]

Percentages of collections classified by type for each named collector as field collector and for the global collections

	Seligmans %	Tylor %	Pitt Rivers %	Balfour %	Blackwood %	Hutton %	Global %
	0	2	0	1	0	3	0.7
	2	1	0	2	7	3	1.7
	0	2	0	1	0	0	0.7
Bag	0	0	0	1	2	1	0.9
Barkcloth	0	0	0	0	4	0	0.4
Basketry	0	1	0	1	6	8	2.3
Body Art	0	0	0	1	1	1	0.7
Box	0	1	0	6	0	2	2.5
Carving	0	0	0	0	0	0	0
Ceremonial	0	1	0	1	2	3	1.5
Children	0	0	0	0	4	1	0.8
Clothing	0	3	0	2	8	13	3.8
Commemoration	0	0	0	0	0	2	0.1
Cordage	0	0	0	0	0	0	0.6
Currency	1	2	0	4	10	11	2.2
Dance	0	1	0	0	2	1	0.6
Death	0	2	0	1	1	3	2.6
Dwelling	0	0	1	0	1	2	0.3
Fan	0	0	0	0	0	0	0.1
Figure	0	19	0	8	4	5	5.3
Fire	0	1	0	10	1	3	1.6
Fishing	0	0	0	1	3	1	1.4
Food	0	3	0	2	7	3	2.7
Furniture Dwelling	0	0	0	0	1	0	0.5
Geology	14	1	0	1	1	0	1.6
Headhunting	0	0	0	0	0	3	0.1
Hunting	0	2	0	0	1	2	0.9
Insignia	1	0	0	0	0	0	0.4
Lighting	0	2	0	10	0	0	1.3
Lock	0	1	0	0	0	0	0.1
Marriage	0	2	0	0	0	0	0.1
Mask	0	0	0	0	0	0	0.2
Measurement	0	2	0	2	0	1	1.8
Medicine	0	1	0	1	1	1	0.9
Metallurgy	0	0	0	0	0	1	0.3
Model	0	0	0	0	2	2	1.2
Music	0	2	0	6	4	4	3.3
Narcotic	1	0	0	3	2	6	2.0
Navigation	0	0	0	0	1	0	0.7
Ornament & bead	8	13	0	5	20	15	11.8
Photograph	0	0	0	0	0	0	1.4
Physical Anthropology	0	0	2	0	2	3	0.7
Picture	0	8	0	1	1	0	1.3
Plant	0	1	2	1	2	1	1.3
Pottery	4	20	63	9	7	3	7.0
Punishment & Torture	0	0	0	0	0	0	0.1
Religion	1	29	0	11	4	6	8.4
Reproduction	1	13	0	3	0	0	1.2
Scientific Apparatus	0	0	0	0	0	0	0
Specimen	14	1	4	3	7	5	3.7
Sport	0	2	0	0	0	0	0.1
Status	0	0	0	1	1	12	1.6
Technique	1	0	0	3	1	1	1.6
Textile	0	2	0	4	1	6	3.2
Theatre	0	0	0	0	0	0	0.2
Time	0	0	0	0	0	0	0.1
Toilet	0	0	0	1	1	0	1.1
Tool [definite]	57	10	25	30	19	5	32.1
Tool or weapon	10	2	6	4	6	8	5.9
Toy & Game	0	22	0	1	4	1	3.1
Trade	1	1	0	2	10	3	1.5
Transport	0	0	0	1	1	3	0.8
Vessel	1	2	2	2	6	6	4.1
Weapon [definite]	5	12	1	11	9	24	15.7
Writing	1	2	0	4	0	1	2.0

Named collectors and classes as donors

Classes	Selig-man	%	Tylor	%	PR	%	Balfour	%	Black-wood	%	Hutton	%
	5	0	28	1	47	0	113	1	15	0	97	-
	85	2	121	3	148	1	206	2	224	6	97	-
	4	0	28	1	229	1	74	1	14	0	4	0
Bag	10	0	63	1	149	1	251	2	75	2	24	-
Barkcloth	17	0	0	0	36	0	5	0	119	3	3	0
Basketry	2	0	14	0	346	2	136	1	208	6	251	7
Body Art	0	0	8	0	47	0	76	1	35	1	28	-
Box	2	0	50	1	141	1	894	7	12	0	63	2
Carving	0	0	1	0	36	0	6	0	3	0	1	0
Ceremonial	8	0	35	1	190	1	141	1	79	2	85	2
Children	2	0	70	2	108	1	39	0	132	3	19	-
Clothing	17	0	74	2	497	3	260	2	266	7	442	13
Commemoration	3	0	3	0	4	0	6	0	3	0	64	-
Cordage	3	0	4	0	484	3	50	0	16	0	6	0
Currency	49	1	265	6	93	1	345	3	347	10	383	-
Dance	3	0	11	0	62	0	35	0	80	2	33	-
Death	9	0	53	1	136	1	191	2	23	1	119	3
Dwelling	2	0	3	0	64	0	26	0	23	1	57	-
Fan	0	0	1	0	21	0	10	0	12	0	5	0
Figure	23	0	290	7	1370	8	878	7	142	4	167	5
Fire	0	0	17	0	104	1	1,687	13	49	1	99	3
Fishing	11	0	3	0	454	3	107	1	109	3	41	1
Food	22	0	95	2	431	2	188	1	227	6	107	-
Furniture Dwelling	11	0	4	0	80	0	51	0	22	1	7	0
Geology	637	13	105	2	79	0	140	1	28	1	5	0
Headhunting	0	0	0	0	3	0	1	0	0	0	99	3
Hunting	9	0	20	0	195	1	65	1	47	1	66	-
Insignia	38	1	11	0	30	0	45	0	3	0	9	0
Lighting	0	0	13	0	128	1	1,519	12	14	0	1	0
Lock	0	0	7	0	52	0	23	0	0	0	0	0
Marriage	0	0	11	0	5	0	30	0	7	0	6	0
Mask	0	0	6	0	127	1	4	0	10	0	0	0
Measurement	4	0	24	1	58	0	189	2	2	0	20	-
Medicine	9	0	24	1	70	0	83	1	26	1	73	2
Metallurgy	13	0	0	0	23	0	11	0	0	0	25	-
Model	2	0	23	1	356	2	53	0	69	2	65	-
Music	9	0	38	1	328	2	1,037	8	154	4	144	4
Narcotic	25	0	6	0	232	1	331	3	91	3	192	-
Navigation	2	0	3	0	417	2	41	0	34	1	1	0
Ornament & bead	373	8	546	13	1,888	11	592	5	724	20	562	16
Photograph	5	0	15	0	9	0	27	0	3	0	7	0
Physical Anthropology	0	0	6	0	341	2	58	0	74	2	89	3
Picture	10	0	213	5	141	1	87	1	48	1	2	0
Plant	5	0	32	1	184	1	148	1	79	2	40	1
Pottery	192	4	283	7	3,683	21	955	8	247	7	85	-
Punishment & Torture	2	0	4	0	33	0	12	0	0	0	1	0
Religion	38	1	574	13	732	4	1,254	10	116	3	261	7
Reproduction	47	1	251	6	116	1	349	3	2	0	13	0
Scientific Apparatus	0	0	0	0	1	0	1	0	0	0	0	0
Specimen	637	13	83	2	408	2	437	3	237	7	152	4
Sport	0	0	30	1	13	0	14	0	4	0	13	-
Status	9	0	4	0	79	0	120	1	48	1	407	12
Technique	30	1	5	0	52	0	271	2	34	1	24	-
Textile	17	0	61	1	288	2	443	3	141	4	211	-
Theatre	1	0	1	0	105	1	3	0	0	0	0	0
Time	0	0	5	0	5	0	41	0	0	0	3	-
Toilet	3	0	26	1	215	1	160	1	35	1	14	-
Tool [definite]	2,820	57	1,778	41	3,379	19	3,665	29	662	18	187	5
Tool or weapon	511	10	33	1	2,305	13	425	3	219	6	330	9
Toy & Game	5	0	988	23	458	3	141	1	140	4	34	-
Trade	39	1	65	1	52	0	271	2	329	9	86	-
Transport	1	0	2	0	257	1	75	1	33	1	89	-
Vessel	41	1	81	2	1032	6	270	2	213	6	176	5
Weapon [definite]	238	5	194	5	2,502	14	1,238	10	332	9	847	24
Writing	42	1	125	3	186	1	453	3	10	0	23	-

Total number of objects donated by the named collectors	4,911*		4,285 **		17,802		12,707		3,620		3,520
	Seligman*		Tylor **		PR		Balfour		Black-wood		Hutton donor

Significant items (those that constitute over 10 per cent of the collection by the named donor) are marked in red

Percentages of collections that are different classes for named collectors as donors and for the PRM collections as a whole

	Seligman %	Tylor %	Pitt Rivers %	Balfour %	Blackwood %	Hutton %	Global %
	0	1	0	1	0	-	0.7
	2	3	1	2	6	-	1.7
	0	1	1	1	0	0	0.7
Bag	0	1	1	2	2	-	0.9
Barkcloth	0	0	0	0	3	0	0.4
Basketry	0	0	2	1	6	7	2.3
Body Art	0	0	0	1	1	-	0.7
Box	0	1	1	7	0	2	2.5
Carving	0	0	0	0	0	0	0
Ceremonial	0	1	1	1	2	2	1.5
Children	0	2	1	0	3	-	0.8
Clothing	0	2	3	2	7	13	3.8
Commemoration	0	0	0	0	0	-	0.1
Cordage	0	0	3	0	0	0	0.6
Currency	1	6	1	3	9	-	2.2
Dance	0	0	0	0	2	-	0.6
Death	0	1	1	2	1	3	2.6
Dwelling	0	0	0	0	1	-	0.3
Fan	0	0	0	0	0	0	0.1
Figure	0	7	8	7	3	5	5.3
Fire	0	0	1	13	1	3	1.6
Fishing	0	0	3	1	3	1	1.4
Food	0	2	2	1	6	-	2.7
Furniture Dwelling	0	0	0	0	1	0	0.5
Geology	13	2	0	1	1	0	1.6
Headhunting	0	0	0	0	0	3	0.1
Hunting	0	0	1	1	1	-	0.9
Insignia	1	0	0	0	0	0	0.4
Lighting	0	0	1	12	0	0	1.3
Lock	0	0	0	0	0	0	0.1
Marriage	0	0	0	0	0	0	0.1
Mask	0	0	1	0	0	0	0.2
Measurement	0	1	0	2	0	-	1.8
Medicine	0	1	0	1	1	2	0.9
Metallurgy	0	0	0	0	0	-	0.3
Model	0	1	2	0	2	-	1.2
Music	0	1	2	8	3	4	3.3
Narcotic	0	0	1	3	2	-	2.0
Navigation	0	0	2	0	1	0	0.7
Ornament & bead	8	13	11	5	20	16	11.8
Photograph	0	0	0	0	0	0	1.4
Physical Anthropology	0	0	2	0	2	3	0.7
Picture	0	5	1	1	1	0	1.3
Plant	0	1	1	1	2	1	1.3
Pottery	4	7	21	8	6	-	7.0
Punishment & Torture	0	0	0	0	0	0	0.1
Religion	1	13	4	10	3	7	8.4
Reproduction	1	6	1	3	0	0	1.2
Scientific Apparatus	0	0	0	0	0	0	0
Specimen	13	2	2	3	6	4	3.7
Sport	0	1	0	0	0	-	0.1
Status	0	0	0	1	1	12	1.6
Technique	1	0	0	2	2	-	1.6
Textile	0	1	2	3	5	-	3.2
Theatre	0	0	1	0	0	0	0.2
Time	0	0	0	0	0	-	0.1
Toilet	0	1	1	1	1	-	1.1
Tool [definite]	57	41	19	29	19	5	32.1
Tool or weapon	10	1	13	3	6	9	5.9
Toy & Game	0	23	3	1	4	-	3.1
Trade	1	1	0	2	9	-	1.5
Transport	0	0	1	1	1	-	0.8
Vessel	1	2	6	2	6	5	4.1
Weapon [definite]	5	5	14	10	9	24	15.7
Writing	1	3	1	3	1	-	2.0