20240227 14094100 1.0 FALSE Income_Support_data 002 Geographic GCS_GDA_1994 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>GEOGCS["GCS_GDA_1994",DATUM["D_GDA_1994",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4283]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4283</WKID><LatestWKID>4283</LatestWKID></GeographicCoordinateSystem> 20240409 16464300 20240409 16464300 Feature layer Australian Bureau of Statistics geography@abs.gov.au ArcGIS Metadata 1.0 Income_Support_Data ABS_pop_ppl_SA2 Australian Bureau of Statistics geography@abs.gov.au <div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>An aggregated Feature dataset view of ABS Statistics relevant to Employment. It was created in ArcGIS Pro using a 'Feature Join' with SA2 Code as the field to match. This particular dataset uses SA2 geographies. All ABS data is from the ABS 'Data by Region' releases. DSS data is from Data.gov.au. The data has been aggregated to a single dataset using feature joins to SA2 boundaries but are otherwise unaltered. It includes: </div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>Income Support Payment data is published by DSS on Data.gov.au. All supporting data is from the Australian Bureau of Statistics 'Data by Region' releases. The data has been aggregated to a single dataset using feature joins to SA2 boundaries but are otherwise unaltered. It includes:<div style='font-family:"Avenir Next", Avenir, "Helvetica Neue", Helvetica, Arial, sans-serif; font-size:15px;'><ul><li><a href='https://data.gov.au/dataset/ds-dga-7a6cd81c-e834-4a0c-8d41-4aec150f958b/details?q=' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>DSS Payments by Statistical Area 2</a></li><li><a href='https://gov.atlas.gov.au/portal/home/item.html?id=6fa1454d20f1407ca2b550378d17d039' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>ABS Income (including government allowances) by 2021 SA2 Nov 2023 - Overview (atlas.gov.au)</a></li><li><a href='https://gov.atlas.gov.au/portal/home/item.html?id=0eecaf92974d43b9a84b67d96c20d9f4' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>ABS Education and employment by 2021 SA2 - Overview (atlas.gov.au)</a> </li><li><a href='https://gov.atlas.gov.au/portal/home/item.html?id=0fdbaa6d5f404cdd88a6fa21cdb532c1' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>ABS Economy and industry by 2021 SA2 Nov 2023 - Overview (atlas.gov.au)</a> </li><li><a href='https://gov.atlas.gov.au/portal/home/item.html?id=10992a67b43149fc9addc2b0a3ba5d4d' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>ABS Family and community by 2021 SA2 Nov 2023 - Overview (atlas.gov.au)</a> </li><li><a href='https://gov.atlas.gov.au/portal/home/item.html?id=eeae237cd5dd4c8d884f6efdbc8c0fa0' rel='nofollow ugc'>ABS Population and people by 2021 SA2 Nov 2023 - Overview (atlas.gov.au)</a> </li></ul><div>This dataset is designed specifically for an application built using Experience Builder software and designed to display Income Support Payment recipient distribution across the country alongside other relevant information. It is intended to familiarise non-GIS professionals with available data and tools, as well as the spatial format. It is not intended to replace GIS analysis for decision making.</div></div></div> Aggregated Dataset to support a detailed understanding of Income Support Payment recipients. © Commonwealth of Australia Department of Social Services 2024 Australian Bureau of Statistics geography@abs.gov.au Australian Bureau of Statistics geography@abs.gov.au ABS Australian Bureau of Statistics Population People ERP Census ASGS Male Female Persons Age Sex Births Deaths Migration Indigenous overseas religious language Defence ADF Statistical Area Level 2 SA2 Statistical Area Level 2 SA2 DSS Income Support Payments Analysis Result Join Features Age Pension AUSTUDY ABSTUDY Carer Payment Disability Support Pension JobSeeker Parenting Payment Special Benefit Youth Allowance Youth Allowance (Other) Youth Allowance (Student and Apprentice) Parenting Payment (Partnered) Parenting Payment (Single) Children Disability Employment Families Health Indigenous Social Policy Social Security Unemployment Welfare Welfare Payments Working Age Population Distribution Department of Social Services Australian Bureau of Statistics Income Support Payment Application Experience Builder <p style='margin:0cm; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>Disclaimer: To protect the privacy of Australians, certain data has been modified by authorised entities, in compliance with privacy regulations. Due to this, statistics here should be taken as a guide to inform understanding, please assume a small margin of error when using.<p style='margin:0cm; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'> <p style='margin-top:0cm; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>License: <a href='https://creativecommons.org/licenses/by/4.0/' target='_blank' rel='nofollow ugc noopener noreferrer'>Creative Commons Attribution 4.0</a><p style='margin-top:0cm; margin-bottom:1.5rem; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>Access rights: Public true 96.8169413900001 167.998035 -43.7405095999999 -9.14217597999993 45252 Esri ArcGIS 13.0.2.36056 Copyright and creative commons of CC BY 4.0: <a href="https://www.abs.gov.au/website-privacy-copyright-and-disclaimer" target="_blank">Website privacy, copyright and disclaimer ABS copyright</a> Legal Authority: <a href="https://www.abs.gov.au/about/legislation-and-policy/legislative-framework" target="_blank">Census and Statistics Act 1905</a> Security Classification: Official No sensitive data Source data is retained in National Archives https://www.abs.gov.au/methodologies/data-region-methodology/2011-23 EPSG 6.5(3.0.1) MD_FeatureCatalogue File Geodatabase Feature Class 0 Simple FALSE 0 TRUE FALSE ABS_pop_ppl_SA2 Income_Support_data Feature Class 0 ABS_pop_ppl_SA2 Australian Bureau of Statistics OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. SA2_CODE_2021 Statistical Areas Level 2 2021 code 2021 Statistical Areas Level 2 (SA2) codes from the Australian Statistical Geography Standard (ASGS), Edition 3. SA2s are medium-sized general purpose areas built to represent communities that interact together socially and economically. Australian Bureau of Statistics String 9 0 0 SA2_NAME_2021 Statistical Areas Level 2 2021 name 2021 Statistical Areas Level 2 (SA2) names from the Australian Statistical Geography Standard (ASGS), Edition 3. SA2s are medium-sized general purpose areas built to represent communities that interact together socially and economically. Australian Bureau of Statistics String 50 0 0 ERP_P_202022 Estimated resident population: Persons (no.) (Data year: 2022) Estimated resident population: Persons (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_182022 Working age population (persons aged 15-64 years) (no.) (Data year: 2022) Working age population (persons aged 15-64 years) (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_172022 Working age population (persons aged 15-64 years) (%) (Data year: 2022) Working age population (persons aged 15-64 years) (%) (Data year: 2022) Australian Bureau of Statistics Double 8 0 0 ERP_P_22022 0-4 years (no.) (Data year: 2022) Estimated resident population: Persons aged 0-4 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_32022 5-9 years (no.) (Data year: 2022) Estimated resident population: Persons aged 5-9 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_42022 10-14 years (no.) (Data year: 2022) Estimated resident population: Persons aged 10-14 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_52022 15-19 years (no.) (Data year: 2022) Estimated resident population: Persons aged 15-19 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_62022 20-24 years (no.) (Data year: 2022) Estimated resident population: Persons aged 20-24 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_72022 25-29 years (no.) (Data year: 2022) Estimated resident population: Persons aged 25-29 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_82022 30-34 years (no.) (Data year: 2022) Estimated resident population: Persons aged 30-34 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_92022 35-39 years (no.) (Data year: 2022) Estimated resident population: Persons aged 35-39 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_102022 40-44 years (no.) (Data year: 2022) Estimated resident population: Persons aged 40-44 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_112022 45-49 years (no.) (Data year: 2022) Estimated resident population: Persons aged 45-49 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_122022 50-54 years (no.) (Data year: 2022) Estimated resident population: Persons aged 50-54 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_132022 55-59 years (no.) (Data year: 2022) Estimated resident population: Persons aged 55-59 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_142022 60-64 years (no.) (Data year: 2022) Estimated resident population: Persons aged 60-64 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_152022 65-69 years (no.) (Data year: 2022) Estimated resident population: Persons aged 65-69 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_162022 70-74 years (no.) (Data year: 2022) Estimated resident population: Persons aged 70-74 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_172022 75-79 years (no.) (Data year: 2022) Estimated resident population: Persons aged 75-79 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_182022 80-84 years (no.) (Data year: 2022) Estimated resident population: Persons aged 80-84 years (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 ERP_P_192022 85 and over (no.) (Data year: 2022) Estimated resident population: Persons aged 85 and over (no.) (Data year: 2022) Australian Bureau of Statistics Integer 4 0 0 irsad_aus_percentile IRSAD Rank within Australia - Percentile SmallInteger 2 0 0 irsd_aus_percentile IRSD Rank within Australia - Percentile SmallInteger 2 0 0 ieo_aus_percentile IEO Rank within Australia - Percentile SmallInteger 2 0 0 ier_aus_percentile IER Rank within Australia - Percentile SmallInteger 2 0 0 income_172020 Personal income: Median total income (excl. Government pensions and allowances) ($) (Data year: 2020) Integer 4 0 0 ing_erp_p2021 Estimated resident Aboriginal and Torres Strait Islander population: Persons (no.) (Data year: 2021) Integer 4 0 0 ing_lang12021 Speakers of an Aboriginal or Torres Strait Islander language who identify as Aboriginal and/or Torres Strait Islander (%) (Data year: 2021) Double 8 0 0 ing_lang22021 Aboriginal and Torres Strait Islander Peoples: Speaks English at home (%) (Data year: 2021) Double 8 0 0 ing_eetp12016 Aboriginal and Torres Strait Islander Peoples: Fully engaged in employment, education or training (%) (Data year: 2016) Double 8 0 0 ing_eetp22016 Aboriginal and Torres Strait Islander Peoples: Partially or at least partially engaged in employment, education or training (%) (Data year: 2016) Double 8 0 0 ing_eetp32016 Aboriginal and Torres Strait Islander Peoples: Not engaged in employment, education or training (%) (Data year: 2016) Double 8 0 0 ing_yr12att2016 Aboriginal and Torres Strait Islander Peoples: Attained year 12 or equivalent or Certificate III or above (aged 20-24 years) (%) (Data year: 2016) Double 8 0 0 leed_42020 Number of jobs total (Data year: 2020) Integer 4 0 0 leed_52020 Agriculture, forestry and fishing (Data year: 2020) Integer 4 0 0 leed_62020 Mining (Data year: 2020) Integer 4 0 0 leed_72020 Manufacturing (Data year: 2020) Integer 4 0 0 leed_82020 Electricity, gas water and waste services (Data year: 2020) SmallInteger 2 0 0 leed_92020 Construction (Data year: 2020) Integer 4 0 0 leed_102020 Wholesale trade (Data year: 2020) Integer 4 0 0 leed_112020 Retail trade (Data year: 2020) Integer 4 0 0 leed_122020 Accommodation and food services (Data year: 2020) Integer 4 0 0 leed_132020 Transport, postal and warehousing (Data year: 2020) Integer 4 0 0 leed_142020 Information media and telecommunications (Data year: 2020) Integer 4 0 0 leed_152020 Finance and insurance services (Data year: 2020) Integer 4 0 0 leed_162020 Rental, hiring and real estate services (Data year: 2020) SmallInteger 2 0 0 leed_172020 Professional, scientific and technical services (Data year: 2020) Integer 4 0 0 leed_182020 Administrative and support services (Data year: 2020) Integer 4 0 0 leed_192020 Public administration and safety (Data year: 2020) Integer 4 0 0 leed_202020 Education and training (Data year: 2020) Integer 4 0 0 leed_212020 Health care and social assistance (Data year: 2020) Integer 4 0 0 leed_222020 Arts and recreation services (Data year: 2020) SmallInteger 2 0 0 leed_232020 Other services (Data year: 2020) SmallInteger 2 0 0 leed_242020 Total number of employee jobs (Data year: 2020) Integer 4 0 0 high_22021 Year 12 or equivalent (%) (Data year: 2021) Double 8 0 0 high_32021 Year 11 or equivalent (%) (Data year: 2021) Double 8 0 0 high_42021 Year 10 or equivalent (%) (Data year: 2021) Double 8 0 0 high_52021 Year 9 or equivalent (%) (Data year: 2021) Double 8 0 0 high_62021 Year 8 or below (%) (Data year: 2021) Double 8 0 0 high_82021 Persons highest year of school completed - not stated (%) (Data year: 2021) Double 8 0 0 high_72021 Persons who did not go to school (%) (Data year: 2021) Double 8 0 0 school_22021 Non-school qualification: Total persons with non-school qualification(s) (%) (Data year: 2021) Double 8 0 0 school_32021 Non-school qualification: Postgraduate degree (%) (Data year: 2021) Double 8 0 0 school_42021 Non-school qualification: Graduate diploma/graduate certificate (%) (Data year: 2021) Double 8 0 0 school_52021 Non-school qualification: Bachelor degree (%) (Data year: 2021) Double 8 0 0 school_62021 Non-school qualification: Advanced diploma/diploma (%) (Data year: 2021) Double 8 0 0 school_72021 Non-school qualification: Certificate (%) (Data year: 2021) Double 8 0 0 school_92021 Non-school qualification: Inadequately described (%) (Data year: 2021) Double 8 0 0 school_102021 Non-school qualification: Not stated (%) (Data year: 2021) Double 8 0 0 field_22021 Non-school qualification field of study: Natural and physical sciences (%) (Data year: 2021) Double 8 0 0 field_32021 Non-school qualification field of study: Information technology (%) (Data year: 2021) Double 8 0 0 field_42021 Non-school qualification field of study: Engineering and related technologies (%) (Data year: 2021) Double 8 0 0 field_52021 Non-school qualification field of study: Architecture and building (%) (Data year: 2021) Double 8 0 0 field_62021 Non-school qualification field of study: Agriculture, environmental and related studies (%) (Data year: 2021) Double 8 0 0 field_72021 Non-school qualification field of study: Health (%) (Data year: 2021) Double 8 0 0 field_82021 Non-school qualification field of study: Education (%) (Data year: 2021) Double 8 0 0 field_92021 Non-school qualification field of study: Management and commerce (%) (Data year: 2021) Double 8 0 0 field_102021 Non-school qualification field of study: Society and culture (%) (Data year: 2021) Double 8 0 0 field_112021 Non-school qualification field of study: Creative arts (%) (Data year: 2021) Double 8 0 0 field_122021 Non-school qualification field of study: Food, hospitality and personal services (%) (Data year: 2021) Double 8 0 0 field_132021 Non-school qualification field of study: Mixed field programmes (%) (Data year: 2021) Double 8 0 0 field_152021 Non-school qualification field of study inadequately described (%) (Data year: 2021) Double 8 0 0 field_162021 Non-school qualification field of study not stated (%) (Data year: 2021) Double 8 0 0 youth_22021 Youth engagement in work/study: Working full-time and studying part-time (%) (Data year: 2021) Double 8 0 0 youth_32021 Youth engagement in work/study: Working part time and studying part-time (%) (Data year: 2021) Double 8 0 0 youth_42021 Youth engagement in work/study: Working part-time and studying full-time (%) (Data year: 2021) Double 8 0 0 youth_52021 Youth engagement in work/study: Working full-time (not studying) (%) (Data year: 2021) Double 8 0 0 youth_62021 Youth engagement in work/study: Studying full-time (not working) (%) (Data year: 2021) Double 8 0 0 youth_72021 Youth engagement in work/study: Working full-time and studying full-time (%) (Data year: 2021) Double 8 0 0 youth_102021 Youth engagement in work/study: Working (away from work) and studying full-time (%) (Data year: 2021) Double 8 0 0 youth_112021 Youth engagement in work/study: Other fully engaged (%) (Data year: 2021) Double 8 0 0 youth_82021 Youth engagement in work/study: Total fully engaged (%) (Data year: 2021) Double 8 0 0 youth_92021 Total persons aged 15-19 years (no.) (Data year: 2021) Integer 4 0 0 lf_62021 Employed (no.) (Data year: 2021) Integer 4 0 0 lf_32021 Unemployed (no.) (Data year: 2021) Integer 4 0 0 lf_22021 In the labour force (no.) (Data year: 2021) Integer 4 0 0 lf_42021 Unemployment rate (%) (Data year: 2021) Double 8 0 0 lf_52021 Participation rate (%) (Data year: 2021) Double 8 0 0 lf_72021 Not in the labour force (%) (Data year: 2021) Double 8 0 0 lf_82021 Labour force status not stated (%) (Data year: 2021) Double 8 0 0 lf_92021 Total persons aged 15 years and over (no.) (Data year: 2021) Integer 4 0 0 emp_occ_22021 Managers (%) (Data year: 2021) Double 8 0 0 emp_occ_32021 Professionals (%) (Data year: 2021) Double 8 0 0 emp_occ_42021 Technicians and trades workers (%) (Data year: 2021) Double 8 0 0 emp_occ_52021 Community and personal service workers (%) (Data year: 2021) Double 8 0 0 emp_occ_62021 Clerical and administrative workers (%) (Data year: 2021) Double 8 0 0 emp_occ_72021 Sales workers (%) (Data year: 2021) Double 8 0 0 emp_occ_82021 Machinery operators and drivers (%) (Data year: 2021) Double 8 0 0 emp_occ_92021 Labourers (%) (Data year: 2021) Double 8 0 0 emp_occ_102021 Inadequately described or not stated (%) (Data year: 2021) Double 8 0 0 disab_22018 Persons with a disability (no.) (Data year: 2018) Integer 4 0 0 disab_32018 Persons with a disability (%) (Data year: 2018) Double 8 0 0 disab_42018 Persons with a profound/severe core activity limitation (no.) (Data year: 2018) Integer 4 0 0 disab_52018 Persons with a profound/severe core activity limitation (%) (Data year: 2018) Double 8 0 0 disab_62018 Persons with a moderate/mild core activity limitation (no.) (Data year: 2018) Integer 4 0 0 disab_72018 Persons with a moderate/mild core activity limitation (%) (Data year: 2018) Double 8 0 0 disab_82018 Persons who are carers (no.) (Data year: 2018) Integer 4 0 0 disab_92018 Persons who are carers (%) (Data year: 2018) Double 8 0 0 disab_102018 Persons aged 15 years and over who are primary carers (no.) (Data year: 2018) Integer 4 0 0 disab_112018 Persons aged 15 years and over who are primary carers (%) (Data year: 2018) Double 8 0 0 disab_122018 Persons who are non-primary carers (no.) (Data year: 2018) Integer 4 0 0 disab_132018 Persons who are non-primary carers (%) (Data year: 2018) Double 8 0 0 activ_32021 Persons who have need for assistance with core activities (no.) (Data year: 2021) Integer 4 0 0 activ_22021 Persons who have need for assistance with core activities (%) (Data year: 2021) Double 8 0 0 lthlth_22021 Arthritis (%) (Data year: 2021) Double 8 0 0 lthlth_32021 Asthma (%) (Data year: 2021) Double 8 0 0 lthlth_42021 Cancer (including remission) (%) (Data year: 2021) Double 8 0 0 lthlth_52021 Dementia (including Alzheimer’s) (%) (Data year: 2021) Double 8 0 0 lthlth_62021 Diabetes (excluding gestational diabetes) (%) (Data year: 2021) Double 8 0 0 lthlth_72021 Heart disease (including heart attack or angina) (%) (Data year: 2021) Double 8 0 0 lthlth_82021 Kidney disease (%) (Data year: 2021) Double 8 0 0 lthlth_92021 Lung condition (including COPD or emphysema) (%) (Data year: 2021) Double 8 0 0 lthlth_102021 Mental health condition (including depression or anxiety) (%) (Data year: 2021) Double 8 0 0 lthlth_112021 Stroke (%) (Data year: 2021) Double 8 0 0 lthlth_122021 Other long-term health condition(s) (%) (Data year: 2021) Double 8 0 0 lthlth_132021 No long-term health condition(s) (%) (Data year: 2021) Double 8 0 0 family_22021 Couple families with children under 15 and/or dependent students (no.) (Data year: 2021) Integer 4 0 0 family_32021 Couple families with non-dependent children only (no.) (Data year: 2021) SmallInteger 2 0 0 family_42021 Couple families without children (no.) (Data year: 2021) Integer 4 0 0 family_52021 One parent families with children under 15 and/or dependent students (no.) (Data year: 2021) Integer 4 0 0 family_62021 One parent families with non-dependent children only (no.) (Data year: 2021) SmallInteger 2 0 0 family_72021 Other families (no.) (Data year: 2021) SmallInteger 2 0 0 family_82021 Total families (no.) (Data year: 2021) Integer 4 0 0 family_92021 Average family size (no. of persons) (Data year: 2021) Double 8 0 0 marriage_22021 Married in a registered marriage (no.) (Data year: 2021) Integer 4 0 0 marriage_32021 Married in a de facto marriage (no.) (Data year: 2021) Integer 4 0 0 marriage_42021 Not married (no.) (Data year: 2021) Integer 4 0 0 marriage_52021 Married (%) (Data year: 2021) Double 8 0 0 marriage_62021 Never married (%) (Data year: 2021) Double 8 0 0 marriage_72021 Widowed (%) (Data year: 2021) Double 8 0 0 marriage_82021 Divorced (%) (Data year: 2021) Double 8 0 0 marriage_92021 Separated (%) (Data year: 2021) Double 8 0 0 childcar_22021 Persons who did not provide child care (%) (Data year: 2021) Double 8 0 0 childcar_32021 Persons who cared for own child/children (%) (Data year: 2021) Double 8 0 0 childcar_42021 Persons who cared for other child/children (%) (Data year: 2021) Double 8 0 0 childcar_52021 Persons who cared for own or other child/children (%) (Data year: 2021) Double 8 0 0 childcar_62021 Unpaid child care not stated (%) (Data year: 2021) Double 8 0 0 date date String 8000 0 0 abstudy__living_allowance_ ABSTUDY (Living Allowance) Integer 4 0 0 abstudy__non_living_allowance_ ABSTUDY (Non-living allowance) Integer 4 0 0 age_pension Age Pension Integer 4 0 0 Austudy Austudy Integer 4 0 0 carer_allowance Carer Allowance Integer 4 0 0 carer_allowance__child_health_c Carer Allowance (Child Health Care Card only) Integer 4 0 0 carer_payment Carer Payment Integer 4 0 0 commonwealth_rent_assistance Commonwealth Rent Assistance Integer 4 0 0 commonwealth_seniors_health_car Commonwealth Seniors Health Card Integer 4 0 0 disability_support_pension Disability Support Pension Integer 4 0 0 family_tax_benefit_a Family Tax Benefit A Integer 4 0 0 family_tax_benefit_b Family Tax Benefit B Integer 4 0 0 health_care_card Health Care Card Integer 4 0 0 jobseeker_payment JobSeeker Payment Integer 4 0 0 low_income_card Low Income Card Integer 4 0 0 parenting_payment_partnered Parenting Payment Partnered Integer 4 0 0 parenting_payment_single Parenting Payment Single Integer 4 0 0 pension_concession_card Pension Concession Card Integer 4 0 0 special_benefit Special Benefit Integer 4 0 0 youth_allowance__other_ Youth Allowance (other) Integer 4 0 0 youth_allowance__student_and_ap Youth Allowance (student and apprentice) Integer 4 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. 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