The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACS

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.

Pursuant to Local Laws 126, 127, and 128 of 2016, certain demographic data is collected voluntarily and anonymously by persons voluntarily seeking social services. This data can be used by agencies and the public to better understand the demographic makeup of client populations and to better understand and serve residents of all backgrounds and identities. The data presented here has been collected through either electronic form or paper surveys offered at the point of application for services. These surveys are anonymous. Each record represents an anonymized demographic profile of an individual applicant for social services, disaggregated by response option, agency, and program. Response options include information regarding ancestry, race, primary and secondary languages, English proficiency, gender identity, and sexual orientation. Idiosyncrasies or Limitations: Note that while the dataset contains the total number of individuals who have identified their ancestry or languages spoke, because such data is collected anonymously, there may be instances of a single individual completing multiple voluntary surveys. Additionally, the survey being both voluntary and anonymous has advantages as well as disadvantages: it increases the likelihood of full and honest answers, but since it is not connected to the individual case, it does not directly inform delivery of services to the applicant. The paper and online versions of the survey ask the same questions but free-form text is handled differently. Free-form text fields are expected to be entered in English although the form is available in several languages. Surveys are presented in 11 languages. Paper Surveys 1. Are optional 2. Survey taker is expected to specify agency that provides service 2. Survey taker can skip or elect not to answer questions 3. Invalid/unreadable data may be entered for survey date or date may be skipped 4. OCRing of free-form tet fields may fail. 5. Analytical value of free-form text answers is unclear Online Survey 1. Are optional 2. Agency is defaulted based on the URL 3. Some questions must be answered 4. Date of survey is automated

This dataset is the total global population estimation from the World Bank organization.

Sources: ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision. ( 2 ) Census reports and other statistical publications from national statistical offices ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Report ( 5 ) U.S. Census Bureau: International Database ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programmer

Columns: year: The year of the observation population: Total global population estimation in billions

The data on expenditure under the various social protection schemes are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) Manual issued by Eurostat. Generally, the objectives of ESSPROS are to provide a comprehensive, realistic and coherent description of social protection which: (i) covers social benefits and their financing; (ii) is geared towards international comparability; and (iii) is completely harmonised with other statistics, particularly the National Accounts, in its main concepts. The Social Exclusion N.E.C. function consists of the following benefits: Drug Addicts Allowance and supplementary Assistance. Spatial ESSPROS data is represented per 1000 population. The data source used to compile the beneficiaries data is the System for the Administration of Social Benefits (SABS) database held by the Department of Social Security. Beneficiaries are grouped according to their ID card number. If a person received a particular benefit more than once in a calendar year, the records show one beneficiary. Beneficiaries obtaining more than one benefit under the same function are counted once. Beneficiaries living abroad are not included in the data.

The DSS Payment Demographic data set is made up of: Selected DSS payment data by Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards) Demographic: age, sex and …Show full descriptionThe DSS Payment Demographic data set is made up of: Selected DSS payment data by Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards) Demographic: age, sex and Indigenous/non-Indigenous Duration on Payment (Working Age & Pensions) Duration on Income Support (Working Age, Carer payment & Disability Support Pension) Rate (Working Age & Pensions) Earnings (Working Age & Pensions) Age Pension assets data JobSeeker Payment and Youth Allowance (other) Principal Carers Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO) Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance) Disability Support Pension by medical condition Care Receiver by medical conditions Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset. Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2020 boundaries from March 2021. Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2018 boundaries from March 2019. SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2016 boundaries from March 2019. Prior to this Australian Statistical Geography Standard (ASGS) 2011 was used. From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary. From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below: 2016 SA2 2011 SA2 2018 Commonwealth Electoral Division 2016 Commonwealth Electoral Division 2013 Commonwealth Electoral Division 2020 Local Government Area 2018 Local Government Area 2014 Local Government Area Pre June 2014 Quarter Data contains: Selected DSS payment data by Geography: state/territory; electorate; postcode and LGA Demographic: age, sex and Indigenous/non-Indigenous Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below: Statistical Paper series Occasional Paper series, Numbers 1 & 7 Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.

Social Security Payment Statistics by Federal Electorate boundaries. NOTE: From June 2014, this dataset has moved to the Department of Social Services Payment Demographic Data dataset. Social Security Payment Statistics by Federal Electorate boundaries. NOTE: From June 2014, this dataset has moved to the Department of Social Services Payment Demographic Data dataset.

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data. -9 An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small. -8 An '-8' means that the estimate is not applicable or not available. -6 A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. -5 A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. -3 A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate. -2 A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

New York City Department of Education 2020-21 Guidance Counselor and Social Workers data by district, borough, school number, school name, and school level, providing statistics for full time, part time, bilingual guidance counselors and social workers and whether they are serving more than one location.

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public _domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.-9An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.-8An '-8' means that the estimate is not applicable or not available.-6A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.-5A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.-3A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.-2A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

As of June 2022, 57.6 percent of employees in leadership roles at Meta were white, whilst 28.6 percent were Asian. Overall, 11.7 percent of employees in non-technical roles were Hispanic, and 11.2 percent were Black. Moreover, Asian employees accounted for the majority of employees in technical roles, making up 55.8 percent of employees in these positions.

The Department of Social Services (DSS) is the Australian Government’s preeminent source of advice on social policy and works in partnership with other government and non-government organisations to …Show full descriptionThe Department of Social Services (DSS) is the Australian Government’s preeminent source of advice on social policy and works in partnership with other government and non-government organisations to manage a diverse range of programs and services designed to support and improve the lives of Australians. DSS has whole of government responsibility Families and Children Housing Support Seniors Communities and Vulnerable People Disability and Carers Women's Safety Mental Health Settlement and Multicultural Affairs Ageing and Aged Care Review of Australia’s Welfare System This statistical overview presents information about income support payments and customers administered by a number of Australian Government departments. Unless otherwise indicated, the statistics relate to the relevant pay periods closest to 30 June. These periods will generally be within a fortnight either side of that date. Key sections of the overview are: payments for older people, people with disability and those caring for people with disability, severe medical conditions, or those who are frail aged student and labour market related payments family assistance other payments and services pensioners paid overseas. Payment and allowance information, including eligibility criteria, are included within each section. When The Department of Social Services was formed in September 2013 the publishing of the Statistical Paper series ceased. The DSS Payments Demographic Data Set is updated quarterly and covers the majority of the information contained in the Statistical Paper series. Please contact the Data Requests team if you have any questions in relation to this publication or the DSS Payment Demographic Data Set. Further information to assist with the interpretation of statistics is available from the DSS and Human Services websites: Department of Human Services (DHS) Department of Social Services (DSS).

The DSS Payment Demographic Data for Young Carers provides a summary of the demographic profile of Carer Payment and Carer Allowance recipients aged under 25.

The data contains recipient numbers by

• Geographical location (State, Statistical Area 3 (SA3), remoteness)

• Demographic: age, sex, Indigenous/non-Indigenous, partnership status and country of birth (COB)

• Payment rate and duration on payment

• Earnings

• Care Receiver medical condition type

Please note, to maintain privacy and machine readability of the data in a machine readable format, values of one to five have been rounded up to five; zero has been kept as zero. This data has been published to support the 2018 GovHack competition and is unlikely to be updated in future.

Please direct any enquiries about this data to data.requests@dss.gov.au A machine readable file containing geographic breakdown by 2011 SA3 (https://data.gov.au/dataset/dss-young-carers-sa3_2011 ) has also been published for use in National Map.

About this dataset

Context

The dataset tabulates the Social Circle population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Social Circle. The dataset can be utilized to understand the population distribution of Social Circle by age. For example, using this dataset, we can identify the largest age group in Social Circle.

Key observations

The largest age group in Social Circle, GA was for the group of age 55 to 59 years years with a population of 570 (11.15%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Social Circle, GA was the 80 to 84 years years with a population of 8 (0.16%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Social Circle is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Social Circle total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Social Circle Population by Age. You can refer the same here

The data on expenditure under the various social protection schemes are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) Manual issued by Eurostat. Generally, the objectives of ESSPROS are to provide a comprehensive, realistic and coherent description of social protection which: (i) covers social benefits and their financing; (ii) is geared towards international comparability; and (iii) is completely harmonised with other statistics, particularly the National Accounts, in its main concepts. Spatial ESSPROS data is showed as per capita. The total benefits expenditure obtained from the SABS database does not match that with the Treasury's Departmental Accounting System (DAS) as the latter includes welfare payments which are excluded from the SABS database. The data source used to compile the beneficiaries data is the System for the Administration of Social Benefits (SABS) database held by the Department of Social Security. Beneficiaries are grouped according to their ID card number. If a person received a particular benefit more than once in a calendar year, the records show one beneficiary. Beneficiaries obtaining more than one benefit under the same function are counted once. Beneficiaries living abroad are not included in the data.

Saudi Arabia SA: Population: Total data was reported at 32,938,213.000 Person in 2017. This records an increase from the previous number of 32,275,687.000 Person for 2016. Saudi Arabia SA: Population: Total data is updated yearly, averaging 15,455,583.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 32,938,213.000 Person in 2017 and a record low of 4,086,539.000 Person in 1960. Saudi Arabia SA: Population: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.World Bank: Population and Urbanization Statistics. Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Sum; Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

The data on expenditure under the various social protection schemes are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) Manual issued by Eurostat. Generally, the objectives of ESSPROS are to provide a comprehensive, realistic and coherent description of social protection which: (i) covers social benefits and their financing; (ii) is geared towards international comparability; and (iii) is completely harmonised with other statistics, particularly the National Accounts, in its main concepts. The Family/Children function contains the following benefits: Marriage Grant, Maternity Benefit, Maternity Leave Benefit, Re-marriage Grant, Children's Allowance, Foster Care Allowance and Social Assistance for Single Parents. Spatial ESSPROS data is represented per 1000 population. The data source used to compile the beneficiaries data is the System for the Administration of Social Benefits (SABS) database held by the Department of Social Security. Beneficiaries are grouped according to their ID card number. If a person received a particular benefit more than once in a calendar year, the records show one beneficiary. Beneficiaries obtaining more than one benefit under the same function are counted once. Beneficiaries living abroad are not included in the data.

The DSS Payment Demographic data set is made up of:

Selected DSS payment data by

• Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards)

• Demographic: age, sex and Indigenous/non-Indigenous

• Duration on Payment (Working Age & Pensions)

• Duration on Income Support (Working Age, Carer payment & Disability Support Pension)

• Rate (Working Age & Pensions)

• Earnings (Working Age & Pensions)

• Age Pension assets data

• JobSeeker Payment and Youth Allowance (other) Principal Carers

• Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO)

• Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance)

• Disability Support Pension by medical condition

• Care Receiver by medical conditions

• Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset.

From December 2022, the "DSS Expanded Benefit and Payment Recipient Demographics – quarterly data" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment and Special Benefit has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for ABSTUDY, Austudy, Parenting Payment and Youth Allowance has changed to include those who are suspended from payment. The expanded report will replace the standard report after June 2023.

Additional data for DSS Expanded Benefit and Payment Recipient Demographics – quarterly data includes:

• A new contents page to assist users locate the information within the spreadsheet

• Additional data for the ‘Suspended’ population in the ‘Payment by Rate’ tab to enable users to calculate the old reporting rules.

• Additional information on the Employment Earning by ‘Income Free Area’ tab.

From December 2022, Services Australia have implemented a change in the Centrelink payment system to recognise gender other than the sex assigned at birth or during infancy, or as a gender which is not exclusively male or female. To protect the privacy of individuals and comply with confidentialisation policy, persons identifying as ‘non-binary’ will initially be grouped with ‘females’ in the period immediately following implementation of this change. The Department will monitor the implications of this change and will publish the ‘non-binary’ gender category as soon as privacy and confidentialisation considerations allow.

Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2022 boundaries from June 2023.

Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

From December 2021, the following are included in the report:

• selected payments by work capacity, by various demographic breakdowns

• rental type and homeownership

• Family Tax Benefit recipients and children by payment type

• Commonwealth Rent Assistance by proportion eligible for the maximum rate

• an age breakdown for Age Pension recipients

For further information, please see the Glossary.

From June 2021, data on the Paid Parental Leave Scheme is included yearly in June releases. This includes both Parental Leave Pay and Dad and Partner Pay, across multiple breakdowns. Please see Glossary for further information.

From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary.

From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below:

• Statistical Area 2 - SA2

• Commonwealth Electoral Division - CED

• Local Government Area - LGA

Pre June 2014 Quarter Data contains:

Selected DSS payment data by

• Geography: state/territory; electorate; postcode and LGA

• Demographic: age, sex and Indigenous/non-Indigenous

Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment

For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below:

• Statistical Paper series

Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.

28/06/2024 – The March 2024 and December 2023 reports were republished with updated data in the ‘Carer Receivers by Med Condition’ section, updates are exclusive to the ‘Care Receivers of Carer Payment recipients’ table, under ‘Intellectual / Learning’ and ‘Circulatory System’ conditions only.

This dataset provides a Demographic breakdown of only DYCD-funded participants within a Borough of NYC. The data displays the counts, and percentages of the participants in each of the following categories: ● Gender (Male, Female, Unknown) ● Ethnicity (Hispanic/Latino, non-Hispanic/non-Latino) ● Race (Pacific Islander, American Indian, Asian, White, Black, Other, Unknown) This data is used to measure the numbers of the different population groups that are served by DYCD for a Borough, and Community.

This dataset presents counts of payment recipients by payment type for the quarter ending December 2019. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2016.

The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.

For more information on this dataset please visit the Australian Government Open Data.

For further details on payments, see 'A guide to Australian Government payments'.

Please note:

• In order to protect individuals' privacy, identified populations between 1 and 4 have been suppressed and replaced with '<5' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 5.

• Caveats specific to payments type can be found in the relevant payment description of the original data.

  AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency:

• '<5' has been assigned a value of '-1' within the data

• A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.

• 'n.p.' (not provided) has been set to Null within the data.