About this dataset

Context

The dataset tabulates the Glasgow household income by gender. The dataset can be utilized to understand the gender-based income distribution of Glasgow income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Glasgow, IL annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Glasgow, IL annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Glasgow income distribution by gender. You can refer the same here

Income support is state benefit for people who are on a low income. A person with savings over PS16,000 cannot get Income Support, and savings over PS6,000 affect how much Income Support can be received. Claimants must be between 16 and state pension age work fewer than 16 hours a week, and have a reason why they are not actively seeking work The data represented here is an extract of data relating to Income Support and based on the 694 geographic data zones in Glasgow. Dataset covers years 1999 - 2013. Full UK datasets are available from DWP. ((c) Crown copyright 2009). All counts have been adjusted using a variant of controlled rounding to avoid the disclosure of any personal information. All cells have been rounded to base 5 and the total equals the sum of the disaggregation shown. Please note that any counts that are shown as zero may not be a 'real' zero. . Although all small area totals are within 5 of the true value, aggregating them to form Local Authority totals is not recommended due to the fact that it is the sum of rounded figures. Local Authority totals should therefore be obtained from the DWP Tabulation Tool. More information about the DWP their tabulation tool and collections can be located here. Further qualifications or limitations to the data can be examined here.. Data is correct at time of upload 2014:04:10T16:40:00 Licence: None

Date relating to the Daily Air Quality Index defines a simple classification of air quality levels for a series of contaminants. It also provides some accompanying health messages aimed at at-risk individuals and other messages for the general population. Further information about the contaminants and the classification scheme can be found here and here. Accessed on 2014:04:22T17:12:00. (c) Crown 2014 copyright Defra via uk-air.defra.gov.uk. Licence: None Glasgow City Air Quality - Site Level.xml - https://dataservices.open.glasgow.gov.uk/Download/Organisation/a40aeb0a-67ad-4996-963f-e1495e3257a5/Dataset/a3a02de0-db3b-4ba1-a90f-b0cb8a74f3da/File/58fe2a00-3b34-420e-8cb2-3e24a892e536/Version/f221cb80-caca-4747-9c91-b52efb954cf1 Glasgow City Air Quality - Region Level.xml - https://dataservices.open.glasgow.gov.uk/Download/Organisation/a40aeb0a-67ad-4996-963f-e1495e3257a5/Dataset/a3a02de0-db3b-4ba1-a90f-b0cb8a74f3da/File/15f0d140-eb05-4a95-8a9e-9be6648a0e46/Version/6849252c-fd15-468e-8a41-3c47011aa89c

A Polling District is a geographical subdivision of an electoral area such as an electoral Ward within which a polling place is designated. The Representation of the People Act 1983 places a duty on LA to divide the local authority area into polling districts based on ward boundaries, and to designate a polling place for each district. LAs also have a duty to keep these polling arrangements under review. The Electoral Administration Act 2006 introduced amendments to the 1983 Act (which in turn has been superseded by The Electoral Administration Act 2013). Now local authorities must conduct a full review (with public consultation) of its polling districts and polling places every four years, however adjustments to the boundaries of polling districts and the designation of polling places within LA wards can be proposed at any time in response to changes in ward boundaries or to the availability of premises that can be reasonably designated as polling places. The Fifth Review of Electoral Arrangements concluded in May 2016 when the LGBCS made recommendations to Scottish Ministers for the number of Councillors and the electoral ward boundaries in each of Scotland's 32 local authorities. The review recommended changes in 30 LA areas of which all but 5 were accepted and came into force on 30th Sept 2016. As a result, ward boundaries (and therefore polling districts and possibly polling places) were changed after this date in time for the May 2017 elections. The following fields are now MANDATORY fields for this dataset. "district_code" - The polling district code linked to the polling place "UPRN" - The Unique Property Reference Number for the Corporate Address Gazeteer record of the polling place "polling_place" - The name and/or address of the polling place (based on the Corporate Address Gazeteer record)

Noise maps showing areas that are relatively louder or quieter, measured in decibels (dB), for industry noise within agglomerations in 2021. The data represents the daytime levels (Lday) - the annual average A-weighted long-term sound over the daytime period (07:00-19:00). Qualifying agglomerations are urban areas with populations in excess of 100,000 people, i.e. Aberdeen, Dundee, Edinburgh, Falkirk and Glasgow.

Scottish Ministers commissioned strategic noise mapping analysis to meet the requirements of the Environmental Noise Directive (Directive 2002/49/EC), which is legally implemented in Scotland thorough the Environmental Noise (Scotland) Regulations 2006, as amended by the Environmental Noise (Scotland) Amendment Regulations 2018.

Noise maps are used to identify areas where noise levels are high and, by linking population data, estimate how many people are affected. This aids in the production of noise action plans to manage noise and reduce noise levels where appropriate.

The 694 data zones in Glasgow ranked in 2012, 2009, 2006 and 2004 for the housing domain in the Scottish Index of Multiple Deprivation (SIMD). Each data zone also has a local ranking i.e. within Glasgow to ease comparison for that data zone over time and within the city. Intermediate Geographies and political geographies such as the 2011 Scottish Parliamentary Constituencies, multi-member wards are also included. Datazones nest directly into intermediate geographies and local authorities but do not fit exactly into higher geographies like multi-member wards, SIMD FAQ The Scottish Government describes this index as follows, 'The Scottish Index of Multiple Deprivation identifies small area concentrations of multiple deprivation across all of Scotland in a consistent way. It allows effective targeting of policies and funding where the aim is to wholly or partly tackle or take account of area concentrations of multiple deprivation. The SIMD ranks small areas (called data zones) from most deprived (ranked 1) to least deprived (ranked 6,505). People using the SIMD will often focus on the data zones below a certain rank, for example, the 5%, 10%, 15% or 20% most deprived data zones in Scotland.' How to use the SIMD - Scottish Government Guidance Data extracted 2013-12-17 from opendatascotland.org and data.glasgow.gov.uk Data supplied by The Scottish Government. Licence: None simd-housing-2004-2012-glasgow-v2.xlsx - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/e1a4331f-a186-43bb-bfbc-e4a7880e5376/File/a4d686fb-fb4a-4bd2-8e3b-1d62bac4b3ec/Version/8bb148d9-7b4f-4320-8cb7-9aa106e7bd2a

Low Emission Zones (LEZs) are designed to improve air quality and were introduced across Aberdeen, Dundee, Edinburgh and Glasgow. Planning continues at a national and local authority level. Local grace periods now apply until enforcement begins. In Glasgow, the LEZ enforcement started on 1 June 2023 (1 June 2024 for residents within the zone) Dundee will start enforcement on 30 May 2024 Aberdeen will start enforcement on 1 June 2024 Edinburgh will start enforcement on 1 June 2024 The Scottish Government will continue to develop support and funding to help people and businesses meet LEZ requirements.

Our open data is about more than the numbers - it relates to real people, places and issues. We want to bring the data to life by sharing some stories around what it tells us about the city and how we might use these insights to improve the lives of those who live and work in Glasgow.

The 694 data zones in Glasgow ranked in 2012, 2009, 2006 and 2004 for the geographic access domain in the Scottish Index of Multiple Deprivation (SIMD). Each data zone also has a local ranking i.e. within Glasgow to ease comparison for that data zone over time and within the city. Intermediate Geographies and political geographies such as the 2011 Scottish Parliamentary Constituencies, multi-member wards are also included. Datazones nest directly into intermediate geographies and local authorities but do not fit exactly into higher geographies like multi-member wards, SIMD FAQ The Scottish Government describes this index as follows, 'The Scottish Index of Multiple Deprivation identifies small area concentrations of multiple deprivation across all of Scotland in a consistent way. It allows effective targeting of policies and funding where the aim is to wholly or partly tackle or take account of area concentrations of multiple deprivation. The SIMD ranks small areas (called data zones) from most deprived (ranked 1) to least deprived (ranked 6,505). People using the SIMD will often focus on the data zones below a certain rank, for example, the 5%, 10%, 15% or 20% most deprived data zones in Scotland.' How to use the SIMD - Scottish Government Guidance Data extracted 2013-12-17 from opendatascotland.org and data.glasgow.gov.uk Data supplied by The Scottish Government Licence: None simd-geographic-access-2004-2012-glasgow-v2.xlsx - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/37343700-a7e5-4164-a4f5-8f07bb20a6d5/File/a3e993bf-c74b-4e1b-94b5-eed1773eaff1/Version/cba5a38e-6831-4f8b-b6e9-2d0f1494b1f3

This list shows the number of full and provisional licence holders by age and sex within Glasgow City Council. Data valid as at 20130914T14:28:42 Certain driving licences in some categories (e.g. moped) can be issued to fifteen year old applicants up to two months before their sixteenth birthday however the provisional entitlement to drive will only commence after the applicant turns sixteen. DVLA's drivers database changes constantly as the Agency receives driving licence applications and other information that updates the records of individual drivers. Therefore, it is possible only to provide a snapshot of the state of the record at the time of any request. The information supplied in this dataset is correct as at 14th September 2013. (c) Crown Copyright 2013. Data made available by Driver and Vehicle Licensing Agency Licence: None

Worked full-time, year-round in the past 12 months Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Glasgow, Delaware by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Glasgow. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Glasgow, the median income for all workers aged 15 years and older, regardless of work hours, was $34,911 for males and $29,868 for females.

Based on these incomes, we observe a gender gap percentage of approximately 14%, indicating a significant disparity between the median incomes of males and females in Glasgow. Women, regardless of work hours, still earn 86 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

- Full-time workers, aged 15 years and older: In Glasgow, among full-time, year-round workers aged 15 years and older, males earned a median income of $45,000, while females earned $43,333, resulting in a 4% gender pay gap among full-time workers. This illustrates that women earn 96 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Glasgow.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Glasgow, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Glasgow median household income by race. You can refer the same here

The Education Maintenance Allowance Scheme is a Scottish Government initiative administered by Glasgow City Council Corporate Services. The scheme is intended to encourage young people of low-income families to stay in further education to gain qualifications that will enhance their job prospects. An EMA is a weekly allowance payable to eligible students who have achieved 100% attendance per week at school and is payable on a bi-weekly basis. The current rate for EMA is PS30 per week for qualifying students. The datasets shown here provide statistics for the uptake, the total spend and the gender split across schools and colleges. The data covers years 2006 -2013. Full Scotland wide datasets can be downloaded from The Sottish Government Website. In all datasets figures on recipients have been rounded to the nearest 5 (0, 1 and 2 being rounded to 0). Figures on EMA spend have not been rounded. Unknown values are not displayed individually in tables but are included in totals. Figures may not sum to totals due to rounding and the inclusion of unknown values. Unless stated otherwise, percentages in tables are calculated from unrounded values. Percentages in the text of the publication are calculated from the figures displayed in the tables. More information on the preparation and analysis of EMA statistics can be examined here Licence: None

Pension Credit is an income-related benefit made up of 2 parts: Guarantee Credit tops up your weekly income if it's below PS148.35 (for single people) or PS226.50 (for couples); and Savings Credit is an extra payment for people who saved some money towards their retirement, eg a pension. Rules for eligibility can be seen here. The data represented here is an extract of data relating to Pension Credit and based on the 694 geographic data zones in Glasgow. Data covers years 2004 - 2013. Full UK datasets are available from the DWP Website. ((c) Crown copyright 2009) All counts have been adjusted using a variant of controlled rounding to avoid the disclosure of any personal information. All cells have been rounded to base 5 and the total equals the sum of the disaggregation shown. Please note that any counts that are shown as zero may not be a 'real' zero. . Although all small area totals are within 5 of the true value, aggregating them to form Local Authority totals is not recommended due to the fact that it is the sum of rounded figures. Local Authority totals should therefore be obtained from the DWP Tabulation Tool. More information about the DWP their tabulation tool and collections can be located here. Further qualifications or limitations to the data can be examined here.. Data is correct at time of upload 2014:04:10T16:40:00 Licence: None

23 Area Partnerships in Glasgow are allocated an area budget each year which they use mainly to provide grants to local community and voluntary organisations.

All 23 Area Partnerships in Glasgow are allocated an area budget each year which they use to provide grants to mainly local community and voluntary organisations, to help those organisations achieve local priorities set by each Partnership. Financial support can also be awarded to support Council Services and other partner organisations if the application demonstrates a fit with local priorities, the involvement of local people, and additional benefits. The total budget available from the 23 Area Partnerships for 2023/24 amounts to £1,864,968, with varying allocations to individual Area Partnerships. Grant applications are invited at any time, with grants under £500 awarded on a regular basis, and larger awards decided at Area Partnership meetings (normally four times per year, maximum limits apply).

Alcohol Licences allow premises and individuals to sell alcohol. They are issued by the City of Glasgow Licensing Board. This dataset shows the location of current Premises Licences. More information and additional data such as Personal Licence, Occasional Licence, Premises Licence, Transfer of Premises Licence, Variation of Premises Licence (Major & Minor) and Premises Licence Extended Hours can be found on the Glasgow City Council website (https://www.glasgow.gov.uk/index.aspx?articleid=17552). This data is updated weekly.

The 694 data zones in Glasgow ranked in 2012, 2009, 2006 and 2004 for overall deprivation covering the combined domains: income; employment; health; education; housing; access and crime. Each data zone also has a local ranking i.e. within Glasgow to ease comparison for that data zone over time and within the city. Intermediate Geographies and political geographies such as the 2011 Scottish Parliamentary Constituencies, multi-member wards are also included. Datazones nest directly into intermediate geographies and local authorities but do not fit exactly into higher geographies like multi-member wards, SIMD FAQ The Scottish Government describes this index as follows, 'The Scottish Index of Multiple Deprivation identifies small area concentrations of multiple deprivation across all of Scotland in a consistent way. It allows effective targeting of policies and funding where the aim is to wholly or partly tackle or take account of area concentrations of multiple deprivation. The SIMD ranks small areas (called data zones) from most deprived (ranked 1) to least deprived (ranked 6,505). People using the SIMD will often focus on the data zones below a certain rank, for example, the 5%, 10%, 15% or 20% most deprived data zones in Scotland.' How to use the SIMD - Scottish Government Guidance Data extracted 2013-12-17 from opendatascotland.org and data.glasgow.gov.uk Data supplied by The Scottish Government. Licence: None simd-overall-2004-2012-glasgow-v2.xlsx - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/bbe647fd-db8c-437f-a7f5-d7e694b523b3/File/21b18ecf-0d72-4a51-a401-fc7282717d74/Version/778ebd4b-e02c-4632-b6d7-96f43534f231

Annual data on death registrations by area of usual residence in the UK. Summary tables including age-standardised mortality rates.

The number of people in each of the Glasgow datazones who state they have either no long-term medical conditions or at least one. A long-term condition is defined as one which has lasted or is expected to last at least 12 months. The conditions are : Deafness or partial hearing loss; Blindness or partial sight loss; Learning disability ;Learning difficulty; Developmental disorder ;Physical disability; Mental health condition ;Other condition. People with more than one condition are counted separately for each condition but once only in the 'All people' and 'One or more conditions' categories. Note, the following 4 data zones are not in the dataset: S01003031; S01003319; S01003505; S01003548 Data extracted ; 2014-04-10 from Scotland's Census Website Licence: None

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Glasgow. The dataset can be utilized to gain insights into gender-based income distribution within the Glasgow population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Glasgow, among individuals aged 15 years and older with income, there were 259 men and 361 women in the workforce. Among them, 91 men were engaged in full-time, year-round employment, while 109 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 23.85% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 9.89% of men in full-time roles earned incomes exceeding $100,000, while 2.75% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Glasgow median household income by race. You can refer the same here