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Context
The dataset tabulates the 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 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 London was 10,533, a 0.74% increase year-by-year from 2022. Previously, in 2022, London population was 10,456, an increase of 0.61% compared to a population of 10,393 in 2021. Over the last 20 plus years, between 2000 and 2023, population of London increased by 1,802. In this period, the peak population was 10,533 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for London Population by Year. You can refer the same here
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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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New London Population by Year. You can refer the same here
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TwitterBy Eva Murray [source]
This file contains data on the projected population of London from 2011 to 2050. The data comes from the London Datastore and offers a glimpse into the future of one of the world's most populous cities
- Predicting crime rates based on population growth
- Determining which areas of London will need more infrastructure to accommodate the growing population
- Planning for different marketing and advertising strategies based on demographics
License
License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.
File: central_trend_2017_base.csv | Column name | Description | |:--------------|:------------------------------------| | gss_code | The GSS code for the area. (String) | | district | The name of the district. (String) | | component | The population component. (String) | | sex | The sex of the population. (String) | | age | The age of the population. (String) | | 2011 | The population in 2011. (Integer) | | 2012 | The population in 2012. (Integer) | | 2013 | The population in 2013. (Integer) | | 2014 | The population in 2014. (Integer) | | 2015 | The population in 2015. (Integer) | | 2016 | The population in 2016. (Integer) | | 2017 | The population in 2017. (Integer) | | 2018 | The population in 2018. (Integer) | | 2019 | The population in 2019. (Integer) | | 2020 | The population in 2020. (Integer) | | 2021 | The population in 2021. (Integer) | | 2022 | The population in 2022. (Integer) | | 2023 | The population in 2023. (Integer) | | 2024 | The population in 2024. (Integer) | | 2025 | The population in 2025. (Integer) | | 2026 | The population in 2026. (Integer) | | 2027 | The population in 2027. (Integer) | | 2028 | The population in 2028. (Integer) | | 2029 | The population in 2029. (Integer) | | 2030 | The population in 2030. (Integer) | | 2031 | The population in 2031. (Integer) | | 2032 | The population in 2032. (Integer) | | 2033 | The population in 2033. (Integer) | | 2034 | The population in 2034. (Integer) | | 2035 | The population in 2035. (Integer) | | 2036 | The population in 2036. (Integer) | | 2037 | The population in 2037. (Integer) | | 2038 | The population in 2038. (Integer) | | 2039 | The population in 20 |
If you use this dataset in your research, please credit Eva Murray.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).
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TwitterIn 2024, Croydon had the largest population among London boroughs at just over 409,340, followed by Barnet at 405,050.
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Mid-year (30 June) estimates of the usual resident population for electoral wards in England and Wales. Note: this page is no longer updated. Latest estimates, and all data for mid-2012 onwards, are available on the Nomis website.
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TwitterThe Office for National Statistics (ONS) publishes data on the number of live births by the mother's country of birth in England and Wales each year. Every time a birth is registered in England and Wales both parents are required to state their places of birth on their child's birth certificate, and this information is then collated to produce these statistics. In order to make it easier to look at what these data tell us about births in London, and how these have been changing over time, the GLA Demography team has extracted the data which relate to London from the main ONS dataset since 2001 and presented it here in an easily accessible format. For more information about how the ONS produces these statistics, please visit their website: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths
For more information about how we extracted these data and created this report, please this project's Github repository: https://github.com/Greater-London-Authority/births_by_mothers_country_of_birth
Since 2001, the number of live births being recorded in London has changed from 104,162 to 106,129 births per year. The proportion of births which were to mothers who had been born outside the UK has changed from 43% in 2001 to 60% in the most recent year (2024). In 2024, the region of origin which supplied the largest number of births to non-UK-born mothers in London was Asia with 27,269, followed by the Africa which provided 10,696. The region of origin which has seen the largest change since 2001 is the Asia, which went from 13,489 live births per year in 2001 to 27,269 in 2024.
In 2024, the region with the largest number of births to non-UK-born mothers was London with 63,460 live births (% of all live births in London). By contrast, the region with the lowest number of births to non-UK-born mothers was the Wales with 4,330 live births to non-UK-born mothers, which only represented 16% of all live births in that region. The data shows that London accounted for 31% of all the births to non-UK-born mothers in England and Wales in 2024, which was a far higher proportion than any other region. These data also highlight a couple of other interesting comparisons. Firstly, despite being the second largest region in England and Wales in terms of population, London is not the region with the largest number of births to UK-born mothers. Secondly, London is the only region to have relatively large numbers of mothers from every region of the world according to the way in which the ONS has categorised them, including Africa, non-EU European countries (such as Turkey and Russia) and the 'Rest of the World' (which includes the Americas and Oceania). The data comparing London with England & Wales excluding London and England & Wales as a whole (including London) is provided in the table below:
Total Births - UK Mothers
Total Births - Overseas Mothers
Pre-2004 EU countries
Post-2004 EU accession countries
Rest of Europe
Asia
Africa
Rest of the world
Year
Region
No.
%
No.
%
No.
%
No.
%
No.
%
No.
%
No.
%
No.
%
2024
London
42,669
40%
63,460
60%
6,541
6%
7,294
7%
5,585
5%
27,269
26%
10,696
10%
6,075
6%
2024
Rest of England & Wales
350,240
72%
138,138
28%
10,522
2%
23,104
5%
6,787
1%
60,017
12%
30,432
6%
7,276
1%
2024
England & Wales
392,909
66%
201,598
34%
17,063
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Mid-year (30 June) estimates of the usual resident population for Westminster Parliamentary constituencies in England and Wales. Note: this page is no longer updated. Latest estimates, and all data for mid-2012 onwards, are available on the Nomis website.
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Context
The dataset tabulates the population of London by race. It includes the population of London across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of London across relevant racial categories.
Key observations
The percent distribution of London population by race (across all racial categories recognized by the U.S. Census Bureau): 92.18% are white, 0.36% are Black or African American, 0.09% are American Indian and Alaska Native, 0.99% are Asian, 1.71% are some other race and 4.67% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for London Population by Race & Ethnicity. You can refer the same here
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TwitterData files containing detailed information about vehicles in the UK are also available, including make and model data.
Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.
The Department for Transport is committed to continuously improving the quality and transparency of our outputs, in line with the Code of Practice for Statistics. In line with this, we have recently concluded a planned review of the processes and methodologies used in the production of Vehicle licensing statistics data. The review sought to seek out and introduce further improvements and efficiencies in the coding technologies we use to produce our data and as part of that, we have identified several historical errors across the published data tables affecting different historical periods. These errors are the result of mistakes in past production processes that we have now identified, corrected and taken steps to eliminate going forward.
Most of the revisions to our published figures are small, typically changing values by less than 1% to 3%. The key revisions are:
Licensed Vehicles (2014 Q3 to 2016 Q3)
We found that some unlicensed vehicles during this period were mistakenly counted as licensed. This caused a slight overstatement, about 0.54% on average, in the number of licensed vehicles during this period.
3.5 - 4.25 tonnes Zero Emission Vehicles (ZEVs) Classification
Since 2023, ZEVs weighing between 3.5 and 4.25 tonnes have been classified as light goods vehicles (LGVs) instead of heavy goods vehicles (HGVs). We have now applied this change to earlier data and corrected an error in table VEH0150. As a result, the number of newly registered HGVs has been reduced by:
3.1% in 2024
2.3% in 2023
1.4% in 2022
Table VEH0156 (2018 to 2023)
Table VEH0156, which reports average COâ‚‚ emissions for newly registered vehicles, has been updated for the years 2018 to 2023. Most changes are minor (under 3%), but the e-NEDC measure saw a larger correction, up to 15.8%, due to a calculation error. Other measures (WLTP and Reported) were less notable, except for April 2020 when COVID-19 led to very few new registrations which led to greater volatility in the resultant percentages.
Neither these specific revisions, nor any of the others introduced, have had a material impact on the statistics overall, the direction of trends nor the key messages that they previously conveyed.
Specific details of each revision made has been included in the relevant data table notes to ensure transparency and clarity. Users are advised to review these notes as part of their regular use of the data to ensure their analysis accounts for these changes accordingly.
If you have questions regarding any of these changes, please contact the Vehicle statistics team.
Overview
VEH0101: https://assets.publishing.service.gov.uk/media/68ecf5acf159f887526bbd7c/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 99.7 KB)
Detailed breakdowns
VEH0103: https://assets.publishing.service.gov.uk/media/68ecf5abf159f887526bbd7b/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 23.8 KB)
VEH0105: https://assets.publishing.service.gov.uk/media/68ecf5ac2adc28a81b4acfc8/veh0105.ods">Licensed vehicles at
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Mid-year (30 June) estimates of the usual resident population for Lower layer Super Output Areas (LSOAs) in England and Wales by broad age groups and sex.
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TwitterAnnual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.
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Context
The dataset tabulates the population of London by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of London across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 51.11% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for London Population by Race & Ethnicity. You can refer the same here
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Context
The dataset tabulates the London township 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 London township 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 London township was 2,981, a 0.10% increase year-by-year from 2022. Previously, in 2022, London township population was 2,978, a decline of 0.53% compared to a population of 2,994 in 2021. Over the last 20 plus years, between 2000 and 2023, population of London township decreased by 73. In this period, the peak population was 3,214 in the year 2006. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for London township Population by Year. You can refer the same here
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Context
The dataset tabulates the London population by age. The dataset can be utilized to understand the age distribution and demographics of London.
The dataset constitues the following three datasets
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.
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/.
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Context
The dataset tabulates the London population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of London. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 691 (62.08% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for London Population by Age. You can refer the same here
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Context
The dataset tabulates the population of New London by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for New London. The dataset can be utilized to understand the population distribution of New London by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in New London. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for New London.
Key observations
Largest age group (population): Male # 20-24 years (169) | Female # 45-49 years (147). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New London Population by Gender. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New London population by age. The dataset can be utilized to understand the age distribution and demographics of New London.
The dataset constitues the following three datasets
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.
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/.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of London by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for London. The dataset can be utilized to understand the population distribution of London by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in London. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for London.
Key observations
Largest age group (population): Male # 50-54 years (339) | Female # 5-9 years (706). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for London Population by Gender. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of New London by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for New London. The dataset can be utilized to understand the population distribution of New London by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in New London. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for New London.
Key observations
Largest age group (population): Male # 20-24 years (1,559) | Female # 20-24 years (1,826). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New London Population by Gender. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the 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 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 London was 10,533, a 0.74% increase year-by-year from 2022. Previously, in 2022, London population was 10,456, an increase of 0.61% compared to a population of 10,393 in 2021. Over the last 20 plus years, between 2000 and 2023, population of London increased by 1,802. In this period, the peak population was 10,533 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for London Population by Year. You can refer the same here