Topic:

Suburbs:

South EasternBermagui

(a) This list of countries consists of the most common 35 Country of Birth responses reported in the 2001 Census.
(b) Special Administrative Regions (SARs) comprise 'Hong Kong (SAR of China)' and 'Macau (SAR of China)'.
(c) Includes persons who stated their birthplace as Yugoslavia.
(d) Comprises 'United Kingdom, nfd', 'Channel Islands', 'England', 'Isle of Man', 'Northern Ireland', 'Scotland' and 'Wales'.
(e) Includes countries not identified individually, 'Australian External Territories', 'Inadequately described', 'At sea' and 'Not elsewhere classified'.

	Males	Females	Persons
Australia	Make % values in the table refer to “Australia, Males” as a total. 752 8356%	Make % values in the table refer to “Australia, Females” as a total. 797 8856%	Make % values in the table refer to “Australia, Persons” as a total. 1,549 17211%
Bosnia and Herzegovina	Make % values in the table refer to “Bosnia and Herzegovina, Males” as a total. 0 0.0%	Make % values in the table refer to “Bosnia and Herzegovina, Females” as a total. 0 0.0%	Make % values in the table refer to “Bosnia and Herzegovina, Persons” as a total. 0 0.0%
Canada	Make % values in the table refer to “Canada, Males” as a total. 4 44%	Make % values in the table refer to “Canada, Females” as a total. 0 0.0%	Make % values in the table refer to “Canada, Persons” as a total. 4 44%
China (excl. SARs and Taiwan Province)(b)	Make % values in the table refer to “China (excl. SARs and Taiwan Province), Males” as a total. 0 0.0%	Make % values in the table refer to “China (excl. SARs and Taiwan Province), Females” as a total. 0 0.0%	Make % values in the table refer to “China (excl. SARs and Taiwan Province), Persons” as a total. 0 0.0%
Croatia	Make % values in the table refer to “Croatia, Males” as a total. 0 0.0%	Make % values in the table refer to “Croatia, Females” as a total. 3 33%	Make % values in the table refer to “Croatia, Persons” as a total. 3 33%
Egypt	Make % values in the table refer to “Egypt, Males” as a total. 0 0.0%	Make % values in the table refer to “Egypt, Females” as a total. 0 0.0%	Make % values in the table refer to “Egypt, Persons” as a total. 0 0.0%
Fiji	Make % values in the table refer to “Fiji, Males” as a total. 0 0.0%	Make % values in the table refer to “Fiji, Females” as a total. 0 0.0%	Make % values in the table refer to “Fiji, Persons” as a total. 0 0.0%
Former Yugoslav Republic of Macedonia (FYROM)	Make % values in the table refer to “Former Yugoslav Republic of Macedonia (FYROM), Males” as a total. 0 0.0%	Make % values in the table refer to “Former Yugoslav Republic of Macedonia (FYROM), Females” as a total. 0 0.0%	Make % values in the table refer to “Former Yugoslav Republic of Macedonia (FYROM), Person” as a total. 0 0.0%
Germany	Make % values in the table refer to “Germany, Males” as a total. 15 167%	Make % values in the table refer to “Germany, Females” as a total. 8 89%	Make % values in the table refer to “Germany, Persons” as a total. 23 256%
Greece	Make % values in the table refer to “Greece, Males” as a total. 0 0.0%	Make % values in the table refer to “Greece, Females” as a total. 0 0.0%	Make % values in the table refer to “Greece, Persons” as a total. 0 0.0%
Hong Kong (SAR of China)(b)	Make % values in the table refer to “Hong Kong (SAR of China), Males” as a total. 0 0.0%	Make % values in the table refer to “Hong Kong (SAR of China), Females” as a total. 0 0.0%	Make % values in the table refer to “Hong Kong (SAR of China), Persons” as a total. 0 0.0%
India	Make % values in the table refer to “India, Males” as a total. 0 0.0%	Make % values in the table refer to “India, Females” as a total. 0 0.0%	Make % values in the table refer to “India, Persons” as a total. 0 0.0%
Indonesia	Make % values in the table refer to “Indonesia, Males” as a total. 0 0.0%	Make % values in the table refer to “Indonesia, Females” as a total. 0 0.0%	Make % values in the table refer to “Indonesia, Persons” as a total. 0 0.0%
Iraq	Make % values in the table refer to “Iraq, Males” as a total. 0 0.0%	Make % values in the table refer to “Iraq, Females” as a total. 0 0.0%	Make % values in the table refer to “Iraq, Persons” as a total. 0 0.0%
Ireland	Make % values in the table refer to “Ireland, Males” as a total. 4 44%	Make % values in the table refer to “Ireland, Females” as a total. 4 44%	Make % values in the table refer to “Ireland, Persons” as a total. 8 89%
Italy	Make % values in the table refer to “Italy, Males” as a total. 6 67%	Make % values in the table refer to “Italy, Females” as a total. 3 33%	Make % values in the table refer to “Italy, Persons” as a total. 9 100%
Japan	Make % values in the table refer to “Japan, Males” as a total. 3 33%	Make % values in the table refer to “Japan, Females” as a total. 6 67%	Make % values in the table refer to “Japan, Total” as a total. 9 100%
Korea, Republic of (South)	Make % values in the table refer to “Korea, Republic of (South), Males” as a total. 0 0.0%	Make % values in the table refer to “Korea, Republic of (South), Females” as a total. 3 33%	Make % values in the table refer to “Korea, Republic of (South), Persons” as a total. 3 33%
Lebanon	Make % values in the table refer to “Lebanon, Males” as a total. 0 0.0%	Make % values in the table refer to “Lebanon, Females” as a total. 3 33%	Make % values in the table refer to “Lebanon, Persons” as a total. 3 33%
Malaysia	Make % values in the table refer to “Malaysia, Males” as a total. 0 0.0%	Make % values in the table refer to “Malaysia, Females” as a total. 0 0.0%	Make % values in the table refer to “Malaysia, Persons” as a total. 0 0.0%
Malta	Make % values in the table refer to “Malta, Males” as a total. 3 33%	Make % values in the table refer to “Malta, Females” as a total. 3 33%	Make % values in the table refer to “Malta, Persons” as a total. 6 67%
Netherlands	Make % values in the table refer to “Netherlands, Males” as a total. 3 33%	Make % values in the table refer to “Netherlands, Females” as a total. 4 44%	Make % values in the table refer to “Netherlands, Persons” as a total. 7 78%
New Zealand	Make % values in the table refer to “New Zealand, Males” as a total. 12 133%	Make % values in the table refer to “New Zealand, Females” as a total. 9 100%	Make % values in the table refer to “New Zealand, Persons” as a total. 21 233%
Papua New Guinea	Make % values in the table refer to “Papua New Guinea, Males” as a total. 0 0.0%	Make % values in the table refer to “Papua New Guinea, Females” as a total. 0 0.0%	Make % values in the table refer to “Papua New Guinea, Persons” as a total. 0 0.0%
Philippines	Make % values in the table refer to “Philippines, Males” as a total. 0 0.0%	Make % values in the table refer to “Philippines, Females” as a total. 4 44%	Make % values in the table refer to “Philippines, Persons” as a total. 4 44%
Poland	Make % values in the table refer to “Poland, Males” as a total. 0 0.0%	Make % values in the table refer to “Poland, Females” as a total. 0 0.0%	Make % values in the table refer to “Poland, Persons” as a total. 0 0.0%
Singapore	Make % values in the table refer to “Singapore, Males” as a total. 0 0.0%	Make % values in the table refer to “Singapore, Females” as a total. 0 0.0%	Make % values in the table refer to “Singapore, Persons” as a total. 0 0.0%
South Africa	Make % values in the table refer to “South Africa, Males” as a total. 3 33%	Make % values in the table refer to “South Africa, Females” as a total. 3 33%	Make % values in the table refer to “South Africa, Persons” as a total. 6 67%
South Eastern Europe, nfd(c)	Make % values in the table refer to “South Eastern Europe, nfd, Males” as a total. 0 0.0%	Make % values in the table refer to “South Eastern Europe, nfd, Females” as a total. 0 0.0%	Make % values in the table refer to “South Eastern Europe, nfd, Persons” as a total. 0 0.0%
Sri Lanka	Make % values in the table refer to “Sri Lanka, Males” as a total. 0 0.0%	Make % values in the table refer to “Sri Lanka, Females” as a total. 0 0.0%	Make % values in the table refer to “Sri Lanka, Persons” as a total. 0 0.0%
Thailand	Make % values in the table refer to “Thailand, Males” as a total. 0 0.0%	Make % values in the table refer to “Thailand, Females” as a total. 0 0.0%	Make % values in the table refer to “Thailand, Persons” as a total. 0 0.0%
Turkey	Make % values in the table refer to “Turkey, Males” as a total. 0 0.0%	Make % values in the table refer to “Turkey, Females” as a total. 0 0.0%	Make % values in the table refer to “Turkey, Persons” as a total. 0 0.0%
United Kingdom(d)	Make % values in the table refer to “United Kingdom, Males” as a total. 65 722%	Make % values in the table refer to “United Kingdom, Females” as a total. 59 656%	Make % values in the table refer to “United Kingdom, Persons” as a total. 124 1378%
United States of America	Make % values in the table refer to “United States of America, Males” as a total. 8 89%	Make % values in the table refer to “United States of America, Females” as a total. 3 33%	Make % values in the table refer to “United States of America, Persons” as a total. 11 122%
Viet Nam	Make % values in the table refer to “Viet Nam, Males” as a total. 3 33%	Make % values in the table refer to “Viet Nam, Females” as a total. 3 33%	Make % values in the table refer to “Viet Nam, Persons” as a total. 6 67%
Born elsewhere(e)	Make % values in the table refer to “Born elsewhere, Males” as a total. 13 144%	Make % values in the table refer to “Born elsewhere, Females” as a total. 10 111%	Make % values in the table refer to “Born elsewhere, Persons” as a total. 23 256%
Country of birth not stated	Make % values in the table refer to “Country of birth not stated, Males” as a total. 52 578%	Make % values in the table refer to “Country of birth not stated, Females” as a total. 59 656%	Make % values in the table refer to “Country of birth not stated, Persons” as a total. 111 1233%
Total	Make % values in the table refer to “Total, Males” as a total. 946 10511%	Make % values in the table refer to “Total, Females” as a total. 984 10933%	Make % values in the table refer to “Total, Persons” as a total. 1,930 21444%

Suburbs:

South EasternBermagui