ABS Census data extract - G09 COUNTRY OF BIRTH OF PERSON BY AGE providing a breakdown of population at Suburb level and by:age groupscountry of birth of person(a)Australia(b)China (excludes SARs and Taiwan)(c)Hong Kong (SAR of China)(c)Born elsewhere(d)This data is based on place of usual residence.(a) This list consists of the most common 50 Country of Birth responses reported in the 2016 Census and 2011 Census.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Special Administrative Regions (SARs) comprise 'Hong Kong (SAR of China)' and 'Macau (SAR of China)'. (d) Includes countries not identified individually, 'Inadequately described', and 'At sea'. Excludes not stated.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

ABS Census data extract - G08 ANCESTRY BY COUNTRY OF BIRTH OF PARENTS providing a breakdown of population at Suburb level and by:ancestry(a)birthplace not stated(b)total responses(c) andother(d)This data is based on place of usual residence.(a) This list of ancestries consists of the most common 30 Ancestry responses reported in the 2016 and 2011 Census. (b) Includes birthplace for either or both parents not stated.(c) This table is a multi-response table and therefore the total responses count will not equal the total persons count.(d) If two responses from one person are categorised in the 'Other' category only one response is counted. Includes ancestries not identified individually and 'Inadequately described'.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

This dataset presents projected population by ages for 5-year periods between the years of 2011 and 2036 for the state of New South Wales (NSW). The data is presented as aggregations following the Australian Statistical Geography Standard (ASGS) 2016 Local Government Areas (LGA). Population projections provide a picture of the population as it may develop in future years. They provide an indication of the size and age-sex structure of the future population if specified assumptions about future fertility, mortality and migration are realised. Population projections are not forecasts and do not attempt to predict the impact that future government policies, changing economic circumstances or other factors (whether in Australia or overseas) might have on demographic behaviour. For more information please read the Population Projections User Guide. Please note: AURIN has spatially enabled the original data. Population numbers are rounded to the nearest 50. They should not be taken to be accurate to that level of detail. The data has been transposed to present the population age groups as distinct columns and use a compulsory filter to select the projection year. This dataset only covers LGA which have a low population.

ABS Census data extract - G13 LANGUAGE USED AT HOME BY PROFICIENCY IN SPOKEN ENGLISH providing a breakdown of population at Suburb level and by:speaks English onlyother language(a)not stated(b)other Chinese languages(c)other Indo-Aryan languages(d)other Southeast Asian Austronesian languages(e)other(f)This data is based on place of usual residence.(a) This list of languages consists of the most common Language used at home responses reported in the 2016 Census and 2011 Census. (b) Includes the categories 'Proficiency in English not stated' and 'Language and proficiency in English not stated'.(c) Comprises 'Chinese, nfd', 'Hakka', 'Wu', 'Min Nan' and 'Chinese, nec'.(d) Comprises' Indo-Aryan, nfd', 'Konkani', 'Marathi', 'Sindhi', 'Assamese', 'Dhivehi', 'Kashmiri', 'Oriya', 'Fijian Hindustani' and 'Indo-Aryan, nec'.(e) Comprises 'Bikol', 'Bisaya', 'Cebuano', 'Ilokano', 'Ilonggo (Hiligaynon)', 'Pampangan', 'Malay', 'Tetum', 'Timorese', 'Acehnese', 'Balinese', 'Iban', 'Javanese', 'Southeast Asian Austronesian Languages, nec' and 'Southeast Asian Austronesian Languages, nfd'.(f) Includes languages not identified individually, 'Inadequately described' and 'Non-verbal, so described'.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

The NSW Koala Strategy identifies 50 koala populations in New South Wales based on the Areas of Regional Koala Significance (ARKS) identified by the NSW Government (DPIE 2020), noting that koalas are also found outside these areas.

These 50 koala populations have been prioritised in 2 intervention categories:

• populations for immediate investment
• populations with key knowledge gaps.

The nineteen populations for immediate investment are relatively large koala populations supported by good levels of knowledge but subject to significant threats.

These populations have been prioritised for investment because we have a good understanding of their size and distribution, habitat values and the nature and intensity of threats.

Through targeted investment and management, we can reduce the threats to these koala populations. Expert assessment of a range of criteria determined whether a population area would be prioritised for investment over the next five years.

Many of the nineteen populations are likely to support a minimum of 1000 koalas, and in some cases, they likely support many more.

Populations for immediate investment in most cases exactly match existing ARKS. In a few cases, the name of the ARKS has been amended for clarity, and the boundary of several ARKS has also been amended (see Table 1 in MS Word document).

For the remaining 31 koala populations, we will address knowledge gaps through a baseline survey program to assess their population status, genetics, and health.

Some information is known about these koala populations already, however, in many places there are gaps in our knowledge. Interventions to reduce threats, improve habitat and support population viability will be carried out once the status of koalas is known and key threats identified.

It is likely that all koala populations will benefit from local, community- based actions, improved local planning processes and targeted research on the status of koalas and the distribution of habitat.

In addition to the initial surveys, for some populations we will use ongoing monitoring to track population trends and measure the effectiveness of interventions.

The intervention category of koala populations may change over time. Populations can move between categories as knowledge is improved, or populations are made more secure through strategic interventions.

Reference: DPIE 2020, Framework for the spatial prioritisation of koala conservation actions in NSW: Saving our Species Iconic Koala Project