Throughout 2012/13 the GLA carried out a programme of research to explore the impact that the London 2012 Games and the work of the GLA has had on the opinions, behaviour and attitudes of Londoners and visitors to London.

This page is where you can find the results from all of the GLA’s Gamestime research.

Infographics
There are a series of infographics that show the key findings of the London 2012 Gamestime research.

1) To assess any changes in Londoners awareness, perceptions, attitudes and behaviour as a result of the Games.

Research carried out by: TNS London Bus on behalf of the GLA

Method: Four online surveys before during and after the Games

Date of research: 10th – 15th May 2012, 16th – 22nd August 2012, 12th -16th October 2012, 14th – 20th March 2013

Sample: Representative sample of 1,018 Londoners in May 2012 (1,002 in August 2012 & March 2013 and 1,032 in October 2012) over the age of 16 in the Greater London Area

Results: Online Monitoring (.zip)

2) To assess the impact and success of GLA’s event programme, marketing materials, city decorations, Team London Ambassadors and explore sentiment, changes in behaviour and perceptions of the Games legacy on London.

Research carried out by: ICM Research on behalf of the GLA

Method: Face to face research at 10 separate events organised or supported by the Mayor of London during the Olympic and Paralympic Games

Date of research: 31st July – 10th September 2012

Sample: 3,102 people who attended Olympic and Paralympics related events during the Games

Results: Event Research (.zip)

3) To explore Londoners and visitors experiences of London during the Games and the impact this has had on both their perceptions of London and their behaviour.

Research carried out by: GLA Intelligence Unit

Method: Online survey

Date of research: 17th December 2012 –20th January 2013

Sample: 1,230 people who attended events during the Summer and / or are signed up to the Mayor of London presents database

Results: Post Games Online Survey (.zip)

4) To explore the views and experiences of those who volunteered as a Team London Ambassador and see what impact this experience may have had/ have in the future.

Research carried out by: GLA Intelligence Unit

Method: Online survey

Date of research: September 2012

Sample: 2,619 Team London Ambassadors

Results: Team London Ambassador Volunteer Feedback Survey (.zip)

5) To explore the views and experiences of those who engaged with the Team London Ambassadors during their time in London.

Research carried out by: GLA Intelligence Unit

Method: Online survey

Date of research: July – September 2012

Sample: 233 people who spoke to Ambassadors

Results: Team London Ambassador Visitor Feedback Survey (.zip)

6) To understand how people talk about London as a place to live work and visit from a natural perspective and assess how this may have changed as a result of the Games.

Research carried out by: GLA Intelligence Unit

Method: Online survey

Date of research: April – June 2012, Sept – Dec 2012

Sample: Random sample of 14,000 social media comments, 7,000 between April – June 2012 and 7,000 between Sept – Dec 2012. Resulting in a total sample of 3,098 relevant comments, 1,549 between April – June 2012 and 1,549 between Sept - Dec 2012

Results: Social Media Analysis (.zip)

Employment (workplace) by industry from the Business register and employment survey (BRES). This data excludes self-employed but includes proprietors
Employment = employees + working proprietors. Working Proprietors are sole traders, sole proprietors, partners and directors. This does not apply to registered charities.
Numbers have all been rounded to the nearest 100
Before the BRES first existed in 2009, the ABI collected employment data by industry. The two surveys are not directly comparable. The BRES is a business survey which collects both employment and financial information. Only employment information for the location of an employees workplace is available from Nomis
The BRES is based on a sample of approximately 80,000 businesses and is used to provide an estimate of the number of employees.
The difference between the estimate and its true value is known as the sampling error. The actual sampling error for any estimate is unknown but we can estimate, from the sample, a typical error, known as the standard error. This provides a means of assessing the precision of the estimate; the lower the standard error, the more confident we can be the estimate is close to the true value. NOMIS website article

This dataset excludes farm based agriculture data contained in SIC class 0100.

Data and charts accompanying the 'Business Register Employment Survey 2010: London' publication

The ABI was replaced by the Business Register and Employment Survey (BRES) from 2009 onwards, therefore this dataset will no longer be updated.

More on ONS website

About this dataset

Context

The dataset tabulates the New London 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 New London. The dataset can be utilized to understand the population distribution of New London by age. For example, using this dataset, we can identify the largest age group in New London.

Key observations

The largest age group in New London, WI was for the group of age 30 to 34 years years with a population of 606 (8.09%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New London, WI was the 70 to 74 years years with a population of 107 (1.43%). 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 New London is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New London 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 New London Population by Age. You can refer the same here

This dataset contains a sample of 10,000 (3.5%) out of a total of 285,846 text sequences extracted from the 1891–1896 Map of London by the Ordnance Survey (OS).

The methodology used for the automated recognition, linking, and sequencing of the text is detailed in the article Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer by M. Zou et al., 2025.

Description of the content

The map is drawn at a scale of five-feet to the mile (c.a. 1:1,056). The text on the map is an invaluable source of information about the Greater London in the late Victorian period. It includes the names of streets, squares, parks, watercourses and even some estates ('Poplars', 'The Grange', 'Arbutus Lodge'). In addition, the map contains many details of the function of buildings and economic activity, such as factories ('Sweet Factory', 'Crown Linoleum Works', 'Imperial Flour Mills', 'Lion Brewery'), warehouses or commercial infrastructure ('Warehouse', 'Jamaica Wharf', 'Rag Store'), offices ('Offices'), etc. The map also mentions public buildings such as schools ('School Boys, Girls & Infants', 'Sunday School'), hospitals or clinics ('St. Saviour's Union Infirmary', 'Beulah Spa Hydropathic Establishment', 'South Western Fever Hospital'), railway stations ('Clapham Station'), post offices, banks, police stations, etc. Other social venues are also mentioned, such as public houses, i.e. pubs ('P.H.'), clubs, casinos, and recreational areas (e.g. 'Cricket Ground'). Special attention is given to churches, with a regular count of the number of seats (e.g. 'Baptist Chapel Seats for 600').

In addition, the map provides details that can be of great interest in the study of everyday life in London at the end of the 19th century. For example, there are numerous mentions of 'Stables', 'Drinking Fountain's or 'Urinal'[s]. Fire protection infrastructure is highlighted, e.g. fire plugs ('F.P.') and fire alarms ('F.A.'). The map also includes information on elevation (e.g. '11·6') and flood levels (e.g. 'High Water Mark of Ordinary Tides').

A list of abbreviations used in the Ordnance Survey maps, created by Richard Oliver [1], is made available by the National Library of Scotland (link).

Organization of the data

The data in 10k_text_london_OS_1890s.geojson is organized as a regular geojson file.

Example structure

{ "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [[[ [x1, y1], [x2, y2], ...]]] }, "properties": { "label": "Oxford Circus", } },

... # Further text sequences            

] }

Image documents

The original map document consists of 729 separate sheets, digitized, georeferenced, and served as geographic tiles by the National Library of Scotland [2].

Descriptive statistics

Total Number of text sequences: 285,846Sample size: 10,000Total Area covered: 450 square km

Use and Citation

For any mention of this dataset, please cite :

@misc{text_london_OS_1890s, author = {Zou, Mengjie and Petitpierre, R{\'{e}}mi and di Lenardo, Isabella}, title = {{London 1890s Ordnance Survey Text Layer}}, year = {2025}, publisher = {Zenodo}, url = {https://doi.org/10.5281/zenodo.14982946}}@article{recognizing_sequencing_2025, author = {Zou, Mengjie and Dai, Tianhao and Petitpierre, R{\'{e}}mi and Vaienti, Beatrice and di Lenardo, Isabella}, title = {{Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer}}, year = {2025}}

Corresponding author

Rémi PETITPIERRE - remi.petitpierre@epfl.ch - ORCID - Github - Scholar - ResearchGate

License

This project is licensed under the CC BY 4.0 License.

Liability

We do not assume any liability for the use of this dataset.

References

Oliver R. (2013). Ordnance Survey maps: A concise guide for historians. The Charles Close Society. London, UK. 3rd Ed. 320 pages

Ordnance Survey, London, five feet to the mile, 1893-1896 (1896), https://maps.nls.uk/os/townplans-england/london-1056-1890s.html, digitized by the National Library of Scotland (NLS)

• to provide annual data about the nation’s health;
• to estimate the proportion of people in England with specified health conditions;
• to estimate the prevalence of certain risk factors associated with these conditions;
• to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;
• to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;
• to monitor progress towards selected health targets
• since 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;
• since 1995, monitor the prevalence of overweight and obesity in children.

The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change.

Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage.

Changes to the HSE from 2015:
Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS Digital disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version.

COVID-19 and the HSE:
Due to the COVID-19 pandemic, the HSE 2020 survey was stopped in March 2020 and never re-started. There was no publication that year. The survey resumed in 2021, albeit with an amended methodology. The full HSE resumed in 2022, with an extended fieldwork period. Due to this, the decision was taken not to progress with the 2023 survey, to maximise the 2022 survey response and enable more robust reporting of data. See the NHS Digital Health Survey for England - Health, social care and lifestyles webpage for more details.

For the fifth edition (April 2010), three new children's Body Mass Index (BMI) variables have been added to the individual data file (bmicat1, bmicat2, bmicat3). Further information is available in the documentation and on the Information Centre for Health and Social Care Health Survey for England web page.

This panel survey contains data from households located in large, coastal urban centers in the United States (Miami, Houston, and New Orleans greater areas), the Netherlands (Rotterdam greater area, Zeeland province), China (Shanghai greater area), and Indonesia (Jakarta greater area, other cities in Java). The last fifth wave of the SCALAR surveys has also covered an additional country: the United Kingdom (London, Norfolk/Suffolk coast, Somerset). China was omitted from the fifth survey wave due to the operational reasons. The surveys are focused on soliciting information on households' socio-economic background, perceptions, adaptive capacities, self-assessed resilience, place attachment, social influence, policy and other factors influencing individual climate change adaptation behavior (here contextualized to floods). The SCALAR project team has developed the questionnaires grounded in theories and best practices from the past survey literature. The surveys were conducted online by YouGov and the data presented are from identical, translated questions in the respective languages of each country. The first survey was launched in late March 2020, and a subsequent survey followed every six months for the following year and a half; in October 2020, April 2021, and November 2021. The spacing was specifically designed to allow sufficient time for the households to realize their adaptation intentions, yet still be in frequent enough intervals to encourage continued household participation. The fifth wave was conduced in July-August 2023. In this archive, you will find a subset of the data collected for each survey; 20 households in each country, for all five waves of responses. Authors contributions: B.N., T.F. and A.N. designed the questionnaires for waves 1-4 of the survey. T.F. and T.W. designed the questionnaires for wave 5 of the survey. T.F. developed the goals of the surveys, its academic scope and format, and provided academic advice for B.N. and T.W. PhD theses. The development of the questionnaire and the analysis of the data for waves 1-4 constitute the core of the PhD project of B.N. The development of the questionnaire and the analysis of the data for wave 5 is part of the PhD project of T.W. The design, implementation and analysis of the survey was possible thanks to the ERC ‘SCALAR’ project developed and led by T.F. We are thankful to the funding from European Research Council project ‘SCALAR: Scaling up behavior and autonomous adaptation for macro models of climate change damage assessment’ (grant agreement no. 758014) under the European Union’s Horizon 2020 Research and Innovation Program. Related publications: PhD Thesis of Dr. Brayton Noll (2023): https://repository.tudelft.nl/islandora/object/uuid%3A0d49cb3e-6dd8-4a9e-abc6-b847de938aea?collection=research Noll, B., Filatova, T., Need, A, de Vries, P. (2023) ‘Uncertainty in individual risk judgments associates with vulnerability and curtailed climate adaptation’, Journal of Environmental Management, 325, 116462, https://pubmed.ncbi.nlm.nih.gov/36272292/ Noll, B., T.Filatova, A.Need (2022) ‘One and done? Exploring linkages between households’ intended adaptations to climate-induced floods’, Risk Analysis, 1-19, https://doi.org/10.1111/risa.13897 Noll B., Filatova, T., Need, A. & Taberna, A. (2021) ‘Contextualizing cross-national patterns in household climate change adaptation’, Nature Climate Change https://doi.org/10.1038/s41558-021-01222-3 This panel survey contains data from households located in large, coastal urban centers in the United States (Miami, Houston, and New Orleans greater areas), the Netherlands (Rotterdam greater area, Zeeland province), China (Shanghai greater area), and Indonesia (Jakarta greater area, other cities in Java). The last fifth wave of the SCALAR surveys has also covered an additional country: the United Kingdom (London, Norfolk/Suffolk coast, Somerset). China was omitted from the fifth survey wave due to the operational reasons. The surveys are focused on soliciting information on households' socio-economic background, perceptions, adaptive capacities, self-assessed resilience, place attachment, social influence, policy and other factors influencing individual climate change adaptation behavior (here contextualized to floods). The SCALAR project team has developed the questionnaires grounded in theories and best practices from the past survey literature. The surveys were conducted online by YouGov and the data presented are from identical, translated questions in the respective languages of each country. The first survey was launched in late March 2020, and a subsequent survey followed every six months for the following year and a half; in October 2020, April 2021, and November 2021. The spacing was specifically designed to allow sufficient time for the households to realize their adaptation intentions, yet still be in frequent enough intervals to encourage continued household participation. The fifth...

The Citizenship Education Longitudinal Study (CELS) tracks the civic and political attitudes and dispositions of young people from the age of 11 to their mid-20s. It started in 2003 with a cohort of 11-12 year olds and has surveyed this cohort every two years until 2011 (Wave 5, held as SN 7230, Citizens in Transition: Civic Engagement among Young People, 2011. Users should note that the UKDS does not currently hold Waves 1-4).

This study consists of two components. The first component is Wave 6 of CELS. These data were collected in 2014, from 945 respondents aged 22-23, in England. This sample consists of 683 CELS Wave 5 respondents and a top-up group of 262 respondents drawn from a database of respondents to previous Omnibus surveys conducted by TNS. Data were collected in face to face interviews with a written questionnaire.

The second component comprises data collected via a cross-sectional online survey of 22-28 year olds. The sample consists of 2,000 respondents (1,000 in England, 500 in Wales and 500 in Scotland) and was supplied by TNS-BMRB's online panel partners. The respondents of both CELS Wave 6 and the online survey completed the same questionnaire.

Further information may be found on the Centre for Research on Learning and Life Chances (LLAKES) Citizenship Education Longitudinal Survey webpages.

We developed a survey for mutual aid groups which asked questions about the number of participants, activities they were carrying out, challenges they faced, what worked well, resources they found useful and relationships with other organisations (Appendix 1). The Survey was open for responses for four weeks from 12th May - 9th June 2020. We received 38 responses in total from across 18 different boroughs. We also held an online conversation with 20 individuals from 13 groups on the 26th May 2020. This report outlines findings from this qualitative data and sets out observations and recommendations that that can be used to inform future conversations and policy discussion with mutual aid groups, the volunteering sector and strategic partners.

Déanann an GLA suirbhé rialta ar thuairimí Londoners. Beidh na torthaí ó na pobalbhreitheanna seo le feiceáil ar an leathanach seo, má tá spéis agat i roinnt blianta eile sonraí ”https://data.london.gov.uk/gla-poll-results/“target=”_blank“style=” background-color:RGB(255, 255, 255); Dath: RGB(158, 0, 89);">cliceáil anseo.

Meán Fómhair 2014 – Feasacht, foinsí, málaí iompair agus damhsa mór

”https://londondatastore-upload.s3.amazonaws.com/dataset/gla-poll-results/September-2014-Toplines.pdf“target=”_blank“style=”dath:RGB(158, 0, 89);">Nasc le PDF na mbarrlínte (PDF)

”https://data.london.gov.uk/download/gla-poll-results-2014/6dbe863ú-6233-472e-970c-476281ebb41f/GLA-Poll-Sept-2014.xlsx“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le táblaí Excel (XLS)

Lúnasa 2014 – Suirbhé Sláinte

”https://londondatastore-upload.s3.amazonaws.com/Aug2014-Health-Survey-Topline-Results.pdf“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le PDF na mbarrlínte (PDF)

”https://data.london.gov.uk/download/gla-poll-results-2014/43b1e9ac-14bc-4dd5-bf57-0d20237c2bfc/GLA-Health_Poll_Aug-2014_Tables-04-09-14.xlsx“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le táblaí Excel (XLS)

Meitheamh 2014 – An geilleagar, costas maireachtála, airgeadas pearsanta, tithíocht agus aerfoirt

”https://s3-eu-west-1.amazonaws.com/londondatastore-upload/GLA-Poll-Jun-2014.pdf“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le PDF na mbarrlínte (PDF)

Bealtaine 2014 – Tosaíochtaí um Shábháilteacht

”https://s3-eu-west-1.amazonaws.com/londondatastore-upload/May2014-London%20Bus%20Crime%20Tables.pdf“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le PDF na mbarrlínte (PDF)

”https://data.london.gov.uk/download/gla-poll-results-2014/d970ca8b-a83e-49e0-967b-a8952ae08021/GLA-Poll-May-2014.xls“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le táblaí Excel (XLS)

Márta 2014 — Suirbhé Sláinte

”https://s3-eu-west-1.amazonaws.com/londondatastore-upload/March%202014%20-%20Health%20Survey%20Topline%20Results.pdf“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le PDF na mbarrlínte (PDF)

”https://data.london.gov.uk/download/gla-poll-results-2014/f4778ffe-7171-4217-8f71-f2b675ee5d68/March%202014%20-%20Health%20Survey%20Data%20tables.xls“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le táblaí Excel (XLS)

Feabhra 2014 — Economy, costas maireachtála, tosaíochtaí agus cultúr

”https://s3-eu-west-1.amazonaws.com/londondatastore-upload/February-2014-toplines.pdf“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le PDF na mbarrlínte (PDF)

”https://data.london.gov.uk/download/gla-poll-results-2014/6ed2e0bc-8a67-40ef-bcd6-3b23375f1164/GLA-Poll-Feb-2014%20%281%29.xls“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le táblaí Excel (XLS)

Feabhra 2014 – Uisce Cannon

”https://s3-eu-west-1.amazonaws.com/londondatastore-upload/Water%20Cannons%20Data%20Tables%20-%20Full.xlsx“target=”_blank“style=”dath: RGB(158, 0, 89);">Nasc le Táblaí Iomlána Sonraí (XLS)

”https://s3-eu-west-1.amazonaws.com/londondatastore-upload/Water%20Cannons%20Data%20Tables%20-%20Rebased.xlsx“target=”_blank“style=”dath: RGB(158, 0, 89);">Táblaí – athbhunaithe (XLS)

”https://s3-eu-west-1.amazonaws.com/londondatastore-upload/Water%20Cannons%20-%20Ethnicity.xlsx“target=”_blank“style=”dath: RGB(158, 0, 89);">Táblaí – eitneacht (XLS)

”https://data.london.gov.uk/download/gla-poll-results-2014/ef351ffd-feda-4dc9-b766-d171cc3eb6e4/Water%20Cannons%20Data%20Tables%20-%20Full.xlsx“target=”_blank“style=”dath: RGB(158, 0, 89);">Tables – achoimre (XLS)

One-stage stratified or systematic random sample 1000 addresses, plus 40 in the City of London, were drawn from the NDHS sample of rateable units (mid-1977), but those found to be demolished, non-residential, institutional, or mobile homes were excluded. Strafification was based on age and tenure Face-to-face interview Observation

About this dataset

Context

The dataset tabulates the London 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 London. The dataset can be utilized to understand the population distribution of London by age. For example, using this dataset, we can identify the largest age group in London.

Key observations

The largest age group in London, KY was for the group of age 5 to 9 years years with a population of 965 (12.74%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in London, KY was the 85 years and over years with a population of 150 (1.98%). 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 London is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of London 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 London Population by Age. You can refer the same here

The crime rate in London was 106.4 crime offences per thousand people for the 2024/25 reporting year, compared with 105.8 in the previous year. Between 2015/16 and 2019/20, the crime rate in the UK capital increased in every reporting year. The sudden drop in 2019/20 was due to the COVID-19 pandemic causing a sharp reduction in certain types of crime, such as robbery and theft. Crime patterns in the capital Overall there were 951,803 crimes reported by the police in London in 2024/25, compared with 938,020 in the previous reporting year. Types of crime that have increased recently include violent crimes, shoplifting, and theft from the person offences. One positive is that the number of homicide offences in London has fallen to much lower levels than seen in the late 2010s. Additionally, the Metropolitan Police force area has a lower crime rate than many of the UK's other major police forces, such as West Yorkshire, Greater Manchester, and South Yorkshire. Police recruitment drive ends era of cuts  The rise in crime in London happened alongside a decline in both personnel and funding for the London Metropolitan Police. Compared with 2010 for example, there were around 3,000 fewer police officers in 2018, while annual funding was reduced to around 3.3 billion pounds between 2013/14 and 2018/19, compared with 3.62 billion in 2012/13. These cuts were due to the policy of austerity that was implemented by the UK government during that time period, but this has recently been replaced by pledges to increase spending and to recruit more police. In 2024/25, the budget for the Metropolitan Police was over five billion pounds, while the number of officers in 2024 increased to around 35,310.

The Labour Force Survey (LFS) has been carried out in the UK since 1973. From 1973 until 1983 the survey was carried out biennially, and from 1984 until 1991 it was conducted annually. In 1992 the quarterly LFS was introduced. For full background and methodological information users should refer to the main Quarterly Labour Force Survey (QLFS) series (held at the UK Data Archive (UKDA) under GN 33246).

The Local Area Data series was produced quarterly alongside the main QLFS from 1992-2006, and included aggregated data on employment, economic activity and related subjects, covering Local Authority Districts (LADs), Training and Enterprise Councils (TECs), and their Scottish and Welsh equivalents. From 1992 until August 1997, the data covered Great Britain, and from September 1997 data from Northern Ireland were added. The Local Area Data were also available as an annual database between 1994-1995 and 1999-2000, for LADs at individual level, but these are no longer produced.

LFS move from seasonal to calendar quarters
In accordance with EU regulations, the LFS moved from seasonal (spring, summer, autumn, winter) quarters to calendar quarters (January-March, April-June, July-September, October-December) in 2006. The last seasonal Local Area Data dataset issued was the Quarterly Labour Force Survey, December 2005 - February, 2006: Local Area Data (SN 5392), and the first calendar quarter dataset was the Quarterly Labour Force Survey, January - March, 2006: Local Area Data (SN 5393). Users should note that there is some overlap between these two datasets. Further information on the seasonal to calendar quarter change and its impact on LFS data may be found in the following online article:
Madouros, V. (2006) Impact of the switch from seasonal to calendar quarters in the Labour Force Survey, London: ONS.

LFS Documentation
The User Guides available with the UK Data Archive's LFS studies are those available at the time of deposit. Users can access the updated guides online via the ONS LFS User Guide pages.
The first deposit of this dataset was made after the regrossing project was completed, so the data are grossed according to the latest population estimates described above.

About this dataset

Context

The dataset tabulates the London township 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 London township. The dataset can be utilized to understand the population distribution of London township by age. For example, using this dataset, we can identify the largest age group in London township.

Key observations

The largest age group in London Township, Michigan was for the group of age 60 to 64 years years with a population of 313 (10.47%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in London Township, Michigan was the 85 years and over years with a population of 30 (1%). 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 London township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of London township 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 London township Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the London Mills 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 London Mills. The dataset can be utilized to understand the population distribution of London Mills by age. For example, using this dataset, we can identify the largest age group in London Mills.

Key observations

The largest age group in London Mills, IL was for the group of age 10 to 14 years years with a population of 41 (11.52%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in London Mills, IL was the 85 years and over years with a population of 3 (0.84%). 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 London Mills is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of London Mills 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 London Mills Population by Age. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in London Britain Township, Pennsylvania, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, London Britain township did not include 7-person households. Across the different household sizes in London Britain township the mean income is $173,756, and the standard deviation is $61,895. The coefficient of variation (CV) is 35.62%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households. Please note that the U.S. Census Bureau uses $250,001 as a JAM value to report incomes of $250,000 or more. In the case of London Britain township, there were 1 household sizes where the JAM values were used. Thus, the numbers for the mean and standard deviation may not be entirely accurate and have a higher possibility of errors. However, to obtain an approximate estimate, we have used a value of $250,001 as the income for calculations, as reported in the datasets by the U.S. Census Bureau.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $79,942. It then further increased to $270,229 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/london-britain-township-pa-median-household-income-by-household-size.jpeg" alt="London Britain Township, Pennsylvania median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 London Britain township median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the New London County 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 New London County. The dataset can be utilized to understand the population distribution of New London County by age. For example, using this dataset, we can identify the largest age group in New London County.

Key observations

The largest age group in New London County, CT was for the group of age 55-59 years with a population of 21,261 (7.90%), according to the 2021 American Community Survey. At the same time, the smallest age group in New London County, CT was the 80-84 years with a population of 5,668 (2.11%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 New London County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New London County 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 New London County Population by Age. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in London Mills, IL, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, London Mills did not include 5, 6, or 7-person households. Across the different household sizes in London Mills the mean income is $59,628, and the standard deviation is $21,517. The coefficient of variation (CV) is 36.09%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $27,474. It then further increased to $72,962 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/london-mills-il-median-household-income-by-household-size.jpeg" alt="London Mills, IL median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 London Mills median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the New London population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New London across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of New London was 631, a 2.10% increase year-by-year from 2022. Previously, in 2022, New London population was 618, an increase of 0.82% compared to a population of 613 in 2021. Over the last 20 plus years, between 2000 and 2023, population of New London decreased by 11. In this period, the peak population was 743 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the New London is shown in this column.
• Year on Year Change: This column displays the change in New London population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 New London Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the London Grove township 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 London Grove township. The dataset can be utilized to understand the population distribution of London Grove township by age. For example, using this dataset, we can identify the largest age group in London Grove township.

Key observations

The largest age group in London Grove Township, Pennsylvania was for the group of age 5 to 9 years years with a population of 898 (10.11%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in London Grove Township, Pennsylvania was the 80 to 84 years years with a population of 71 (0.80%). 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 London Grove township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of London Grove township 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 London Grove township Population by Age. You can refer the same here