Graph and download economic data for Expenditures: Life and Other Personal Insurance by Deciles of Income Before Taxes: Eighth 10 Percent (71st to 80th Percentile) (CXULIFEINSRLB1509M) from 2014 to 2023 about life, percentile, insurance, tax, expenditures, personal, income, and USA.

DDA05 - Composition of Overall Weekly & Annual Earnings Percentiles. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Composition of Overall Weekly & Annual Earnings Percentiles...

In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

DDA08 - Composition of Overall Weekly & Annual Earnings Percentiles. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Composition of Overall Weekly & Annual Earnings Percentiles...

In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets1. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset contains the grids of assessment units with the percentiles of drawdown for baseline, coal resource development pathway and additional coal resources development. Grids for every 5th percentile between the 5th and 95th percentile are included.

Dataset History

The results of drawdown from HUN_GW_Uncertainty_Analysis at the model nodes for baseline, crdp and acrd are stored in respectively HUN_base_dmax.csv, HUN_crdp_dmax.csv and HUN_acrd_dmax.csv. The percentiles at model nodes are stored in csv files ending in _percentiles.csv.

These files are input in to custom made R script 'interpolateToGrid_i.R', which is executed on the high performance computers with the batch file interpolateHUN.slurm. The script calculates the percentiles (every 5th between 5th and 95th) and interpolates them to the assessment units (from dataset HUN_assessment_units). The results are stored in ascii grid files HUN_dmax_$scen$_quantile_$perc$.asc with $scen$ acrd, base and crdp and $perc$ the percentile.

Dataset Citation

Bioregional Assessment Programme (XXXX) HUN GW Quantiles Interpolation v01. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/a466156e-f9b1-4da9-bf69-97925f52008e.

Dataset Ancestors

• Derived From HUN GW Model code v01

• Derived From HUN Assessment Units 1000m 20160725 v02

• Derived From NSW Wetlands

• Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013

• Derived From NSW Office of Water - National Groundwater Information System 20140701

• Derived From Travelling Stock Route Conservation Values

• Derived From HUN GW Model v01

• Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129

• Derived From Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015

• Derived From Climate Change Corridors Coastal North East NSW

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From Climate Change Corridors for Nandewar and New England Tablelands

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From R-scripts for uncertainty analysis v01

• Derived From BA ALL Assessment Units 1000m Reference 20160516_v01

• Derived From Asset database for the Hunter subregion on 27 August 2015

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From Bioregional Assessment areas v04

• Derived From Hunter CMA GDEs (DRAFT DPI pre-release)

• Derived From Camerons Gorge Grassy White Box Endangered Ecological Community (EEC) 2008

• Derived From NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516

• Derived From Gippsland Project boundary

• Derived From Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004

• Derived From Asset database for the Hunter subregion on 24 February 2016

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Asset database for the Hunter subregion on 12 February 2015

• Derived From NSW Office of Water Surface Water Offtakes - Hunter v1 24102013

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013

• Derived From HUN groundwater flow rate time series v01

• Derived From Asset list for Hunter - CURRENT

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From HUN GW Model simulate ua999 pawsey v01

• Derived From Northern Rivers CMA GDEs (DRAFT DPI pre-release)

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From Ramsar Wetlands of Australia

• Derived From Native Vegetation Management (NVM) - Manage Benefits

• Derived From GEODATA TOPO 250K Series 3

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From Hunter subregion boundary

• Derived From HUN bores v01

• Derived From Commonwealth Heritage List Spatial Database (CHL)

• Derived From Groundwater Economic Elements Hunter NSW 20150520 PersRem v02

• Derived From HUN GW Uncertainty Analysis v01

• Derived From Atlas of Living Australia NSW ALA Portal 20140613

• Derived From Bioregional Assessment areas v03

• Derived From Gosford Council Endangered Ecological Communities (Umina woodlands) EEC3906

• Derived From Bioregional Assessment areas v05

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514

• Derived From Climate Change Corridors (Dry Habitat) for North East NSW

• Derived From Groundwater Entitlement Hunter NSW Office of Water 20150324

• Derived From Asset database for the Hunter subregion on 20 July 2015

• Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions

• Derived From BA ALL Assessment Units 1000m 'super set' 20160516_v01

• Derived From NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013

• Derived From [Asset database

HBA08 - 25th, 50th and 75th percentiles for distance (km) of the woman's residence from the community midwife. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).25th, 50th and 75th percentiles for distance (km) of the woman's residence from the community midwife...

Abstract

The dataset was derived by the Bioregional Assessment Programme from HUN GW Quantiles Interpolation v01. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset contains the TIFF image versions of assessment units with the percentiles of drawdown for baseline, coal resource development pathway and additional coal resources development. TIFFs for every 5th percentile between the 5th and 95th percentile. These have been created based on the ASCII grids in the parent dataset (GUID: a466156e-f9b1-4da9-bf69-97925f52008e) for use in maps.

Dataset History

The dataset is a collection of TIFF images representing the results of drawdown from Hunter Groundwater model Uncertainty Analysis at the model nodes for baseline, crdp and acrd. The source data are stored in ascii grid files HUN_dmax_$scen$_quantile_$perc$.asc with $scen$ acrd, base and crdp and $perc$ the percentile and can be found in the parent dataset. These ASCII grids were converted into TIFF images using ArcGIS for display purposes.

Dataset Citation

Bioregional Assessment Programme (XXXX) HUN GW Quantiles TIFFs v01. Bioregional Assessment Derived Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/d34ddcc1-003a-4e0b-99c5-be4e42664f24.

Dataset Ancestors

• Derived From NSW Office of Water - National Groundwater Information System 20140701

• Derived From NSW Wetlands

• Derived From Surface Geology of Australia, 1:1 000 000 scale, 2012 edition

• Derived From Asset database for the Hunter subregion on 24 February 2016

• Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From Hunter subregion boundary

• Derived From Atlas of Living Australia NSW ALA Portal 20140613

• Derived From Bioregional Assessment areas v03

• Derived From Groundwater Entitlement Hunter NSW Office of Water 20150324

• Derived From Asset database for the Hunter subregion on 20 July 2015

• Derived From BA ALL Assessment Units 1000m 'super set' 20160516_v01

• Derived From HUN Alluvium (1:1m Geology)

• Derived From Climate Change Corridors (Moist Habitat) for North East NSW

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From Victoria - Seamless Geology 2014

• Derived From NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013

• Derived From Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From R-scripts for uncertainty analysis v01

• Derived From NSW Office of Water Surface Water Offtakes - Hunter v1 24102013

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Bioregional Assessment areas v05

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Asset database for the Hunter subregion on 22 September 2015

• Derived From BA ALL Assessment Units 1000m Reference 20160516_v01

• Derived From NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014

• Derived From Threatened migratory shorebird habitat mapping DECCW May 2006

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public)

• Derived From HUN AssetList Database v1p2 20150128

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal

• Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

• Derived From HUN GW Model code v01

• Derived From Travelling Stock Route Conservation Values

• Derived From HUN GW Model v01

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004

• Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129

• Derived From Gippsland Project boundary

• Derived From Fauna Corridors for North East NSW

• Derived From Asset list for Hunter - CURRENT

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From Ramsar Wetlands of Australia

• Derived From Geological Provinces - Full Extent

• Derived From HUN GW Quantiles Interpolation v01

• Derived From NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516

• Derived From GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions

• Derived From Asset database for the Hunter subregion on 16 June 2015

• Derived From Australia World Heritage Areas

• Derived From Lower Hunter Spotted Gum Forest EEC 2010

• Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports

• Derived From [New South Wales NSW -

This application presents JobSeeker Payment (previously Newstart Allowance) and Youth Allowance (other) recipients by SA2, comparing June 2019 to June 2024, combined with detailed demographics to support a greater understanding of unemployment payment distribution across Australia and changes in payment receipt over time. The number of unemployment payment recipients as of June 2024 is represented by the size of the circle for each SA2 (the larger the circle, the higher number of people receiving an unemployment payment), while the colour of the circle represents the change in unemployment payment receipt (see the legend for further details). Layers can be applied to display further supporting data and once an SA2 has been selected, detailed statistics are available on the ‘SA2 statistics’ page.This application is the result of collaboration between the Department of Social Services (DSS), the Australian Bureau of Statistics (ABS) and Geoscience Australia (GA).The application presents SA2 geographies. Unemployment payments data is published by DSS on data.gov.au. All supporting data is from the Australian Bureau of Statistics 'Data by Region' releases. The datasets included in the app are listed below:DSS Payments by Statistical Area 2*Selected DSS government pensions and allowances from 2019 to 2024 by 2021 SA2Selected DSS government pensions and allowances from 2019 to 2024 by 2021 SA2 TEABS Socio-Economic Indexes for Areas (SEIFA) by 2021 SA2ABS Population and people by 2021 SA2 Nov 2023Regional Population Change 2022-23 by 2021 SA2ABS Economy and industry by 2021 SA2 Nov 2023ABS Persons born overseas by 2021 SA2 Nov 2023ABS Family and community by 2021 SA2 Nov 2023ABS Estimated resident population 2001–2021 by 2021 SA2ABS Education and employment by 2021 SA2 Nov 2023ABS Economy and industry by 2021 SA2*Note, periods prior to June 2023 have had a correspondence applied, to align the data to the Australian Statistical Geography Standard 2021 SA2 boundaries.The application was built using Experience Builder software and designed to display unemployment 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. This application is designed primarily for desktop view. Mobile view may be made available in the future with reduced functionality.More information on data and statisticsDisclaimerTo 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 the app.Data limitations • Areas with small populations (under 500), the data may have a higher margin of error. This is because minor inaccuracies can have a bigger impact in these areas. • In some cases, data may appear to be missing. This is where there is a 'Null' value meaning this information is unavailable for this area. • Total Unemployment Payment recipients are calculated by summing already rounded data, this may result in minor inaccuracies.• The application uses the most recent Australian Bureau of Statistics population data available at the time of publication. The differing data dates may cause discrepancies in the calculation of proportional statistics (e.g., a high proportion of Income Support receipt where there has been extensive population growth between 2021 (when the census was collected) and the reported income support data date).Statistical Area Level 2 boundaries Statistical Areas Level 2 (SA2s) are areas designed to represent a community that interacts together socially and economically. SA2s are updated every census to reflect current communities and follow suburb or local government areas where appropriate. SA2s are a common standard for understanding and representing population data. Learn more about SA2s.Unemployment payment data An unemployment payment refers to JobSeeker Payment (previously Newstart Allowance) and Youth Allowance (other), which are income support payments made to a recipient that helps with living costs, while they look for work. The income support payment data in this application is published by DSS and represents the number of unique recipients of each payment as at the last Friday of the reported month. To protect individuals’ privacy, all values have been rounded to the nearest 5, values from 1 to 7 are rounded to 5. Zero cells are actual zeros. For older periods, figures between 1-4 were randomly assigned a 0 or a 5. Note: reporting rules and policy settings have changed over time, the data in this application has been updated to align over the reported period. Data for periods prior to 2023 may not align with data previously published. See the DSS data on data.gov.au: DSS Benefit and Payment Recipient Demographics - quarterly data | data.gov.au.Resources• A guide to Australian Government payments: Information on the different income support payments • Social Security Guide: Information on the legislation and how it's applied • DSS Benefit and Payment Recipient Demographics: Quarterly Income Support data release. See ‘Glossary’ and ‘Data Descriptions’ tabs for further data details. • DSS JobSeeker Payment and Youth Allowance recipients: Monthly JobSeeker Payment and Youth Allowance (other) data release. Supporting statistics All supporting data and statistics are from the ABS through their data by regions products on the Digital Atlas. Much of this data was collected as part of the most recent census (conducted in 2021). Data not from the census has been labelled accordingly. To learn more please see the data by regions methodology.SEIFA score The Socio-Economic Indexes for Areas (SEIFA) summarises areas according to their relative socio-economic advantage and disadvantage then ranks them. The "IRSAD (percentile)" index used here shows where an area stands nationally in terms of disadvantage or advantage. Lower numbers indicate more disadvantage and higher numbers indicate more advantage. It's presented as a percentile to make it easier to understand the ranking. For example, an area with an IRSAD (percentile) of 5 is in the top 5% of disadvantaged areas in the country. Whereas an area with an IRSAD (percentile) of 96 is in the top 5% of advantaged areas in the country. Learn more about using and interpreting SEIFA data.

HBA08 - 25th, 50th and 75th percentiles for distance (km) of the woman's residence from the maternity hospital. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).25th, 50th and 75th percentiles for distance (km) of the woman's residence from the maternity hospital...