Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Each year, the Greater Manchester Travel Diary Survey (TRADS) collects detailed transport and travel information from every member (aged five or older) of 2,000 Greater Manchester households. Respondents provide details about all the trips they make in a 24-hour period. TRADS focuses on the specifics of the trips and the characteristics of the people making them, rather than attitudes to, and satisfaction with, travel. The survey sample is designed to be representative of each Greater Manchester (GM) district based on resident demographics. The survey runs throughout the year, from the beginning of February to the end of the following January. The only days when surveys aren’t conducted are Christmas Day and any days following a bank holiday. The data collected from 2,000 GM households equates to more than 4,500 residents and around 10,000 trips. The key information captured by the survey includes trip origins and destinations, travel times, travel methods, and journey purposes. Surveying is carried out face-to-face by experienced interviewers. The response rate was 58% for both 2017-19 and 2024. The survey’s annual sample - a random probability sample stratified by district - provides confidence intervals of +/- 1% to 2% at the GM household level, and +/- 7% to 8% at the district household level. Before the pandemic, trip estimates were based on data collected over three years, providing confidence intervals of +/- 1% at the GM household level, and +/- 3% to 4% at the district household level. However, since 2020, travel habits have been too unstable for this approach, so estimates from 2021 onwards are based on single-year data. The survey data is weighted/expanded to the GM population based on each district’s population by age, gender, and Acorn Category. The weights are small, with high weighting efficiency. Between 2019 and 2022, the weighting methodology was updated to better account for population growth. In 2019, data was expanded to the Census 2011 population levels, while 2024 data is expanded to the 2023 mid-year population estimates. This change has most notably impacted districts with significant population growth, such as Manchester and Salford, where the estimated number of trips has increased despite a decrease in the average trip rate per person. In 2023, the questionnaire was updated to include new travel modes (eg distinguishing between electric and combustion engine car drivers) and new demographic questions (eg sexual orientation, gender identity). These updates remain in place for 2024. Changes were also made in 2023 to better capture commute and business trips, reflecting the working habits of GM residents, resulting in more commute trips and fewer business trips being recorded. For the 2024 survey, business trips and commute trips were combined into one 'Business and Commuting' category, due to very few business trips being recorded overall. The report includes data estimates for 2019 and 2024. While overall estimates at the district household level have confidence intervals of +/- 7% to 8%, caution is advised when interpreting sub-group estimates (eg commute trips, short trips, age, hour, and purpose) due to larger confidence intervals. Before the pandemic, TRADS estimates closely aligned with key variables and other data sources (eg census data, ticket sales, Google Environment Insight Explorer). And generally, TRADS trip estimates show remarkable year-on-year stability, even for smaller modes and journey purposes. For example, the number of taxi trips has consistently been around 100,000 daily since 2017. Note: totals in tables may not sum precisely due to rounding to the nearest 1,000. If you would like more details of the surveying methodology, our technical notes can be made available on request. For more information about TRADS or for further analysis, please contact insight@tfgm.com.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Manchester by race. It includes the distribution of the Non-Hispanic population of Manchester across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Manchester across relevant racial categories.
Key observations
Of the Non-Hispanic population in Manchester, the largest racial group is White alone with a population of 4,848 (93.61% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/manchester-md-population-by-race-and-ethnicity.jpeg" alt="Manchester Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Manchester Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterThis source hails from the earlier years of large-scale survey research in Britain, with the electronic data file created following scanning of and data capture from original survey returns. The data collection provides insight into the lifestyles and religiosity of urban young people, predominantly working-class, at the dawn of the affluent society. It comprises a stratified random sample survey of the religious, social and associational lives of young people aged 15-24 in urban England in 1957. It was designed and fielded by the Newman Demographic Survey, a private research institute directed by religious sociologist Tony Spencer, in collaboration with Young Christian Workers, a faith-based youth organisation. The investigators aimed to yield a sample of English urban youth which would include at least 1000 Catholic respondents, representing all English Catholic dioceses. 8196 was achieved, of which following some apparently random data loss 5834 were of sufficient quality for scanning and data capture in 2010. The survey instrument consisted primarily of closed-form items piloted in Gateshead, Highgate and Manchester, and was designed following correspondence with specialist survey experts: Len England (1901-1999), Director of Mass Observation; Leslie Austen, director of Social Surveys (Gallup Poll) Ltd; and W.L. Readman at the National Food Survey at the Ministry of Agriculture, Fisheries and Food. John Mandeville of the British Tabulating Machine Company, a British-based company operating under licence to IBM, also provided advice to the survey investigators. The electoral register was used as the sampling frame, using a version of the 'nth page' method. To prevent interviewer fatigue, about half of the respondents (70% of Anglicans) completed a short version of the questionnaire, covering items on leisure and religious belief, while the remainder completed a longer version including items on associational memberships, schooling, religious attendance and practice, marital status, and parental country and religion of origin. Some written-in responses (on leisure, religious affiliation, associational memberships and occupation) have been captured. Design and post-stratification weights have been calculated for users.
Facebook
TwitterThe MOBILISE project examines why some people respond to discontent by protesting, others by migrating while yet others stay immobile. It focuses on four countries that have seen outmigration and protest in recent year (Ukraine, Poland, Morocco and Argentina) and migrants from these countries who live in Germany, the United Kingdom and Spain. The main body of MOBILISE survey data are nationally representative face-to-face surveys in Ukraine, Poland, Morocco and Argentina. As these surveys are unable to capture (current) migrants from these countries – a group that is crucial to answering the MOBILISE research question – MOBILISE employs a migrant survey targeted at three destination countries; Germany, the UK and Spain. MOBILISE migrant surveys were closely oriented to the national surveys in order to achieve the longitudinal nature of the data. All of the surveys thoroughly ask for political views and beliefs as well as socio economic background, the reasons and motivations to (or not) migrate and the reason to (or not) protest. The migrant survey was run online. We also ran two supplementary online national surveys targeting the general population in Ukraine and Argentina. All MOBILISE national and migrant surveys are set-up as a two wave panel. The first wave of data collection for the migrant and national survey started in September 2019 and finished in March 2020. The second wave started between December 2020 and December 2021. This data deposit contains wave one and two of the migrant and national online surveys (the nationally representative surveys are deposited separately).
The MOBILISE project asks: When there is discontent, why do some people protest while others cross borders? Connecting theoretical expectations from the migration and protest literatures, we examine: a) whether similar factors drive the choice to migrate and/or protest at the individual level; b) how context affects this mobilisation; c) whether these choices are independent of each other or mutually reinforcing/ undermining. MOBILISE employs a multi-method (nationally representative face-to-face panel surveys, online migrant surveys, protest participant surveys, focus groups, life-history interviews, social media analysis) and a multi-sited research design. It covers Ukraine, Poland, Morocco and Brazil, which have recently witnessed large-scale emigration and protests. It follows migrants from these countries to Germany, the UK and Spain. The project offers four key innovations: 1)it combines protest and migration; 2)it captures all the relevant groups for a comparative study (protesters, migrants, migrant protesters and people who have not engaged in migration or protest); 3)it tracks individuals over time by employing a panel survey; 4)it includes the use of social media data providing real time information on the role of networks and political remittances. These features allow the project to make a major contribution to theory development in both migration and protest studies and offer key insights to policy makers on factors influencing political and economic stability.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Manchester town by race. It includes the distribution of the Non-Hispanic population of Manchester town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Manchester town across relevant racial categories.
Key observations
Of the Non-Hispanic population in Manchester town, the largest racial group is White alone with a population of 2,335 (98.07% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/manchester-me-population-by-race-and-ethnicity.jpeg" alt="Manchester town Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Manchester town Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Manchester by race. It includes the distribution of the Non-Hispanic population of Manchester across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Manchester across relevant racial categories.
Key observations
Of the Non-Hispanic population in Manchester, the largest racial group is White alone with a population of 4,829 (92.05% of the total Non-Hispanic population).
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 Manchester Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Manchester township by race. It includes the distribution of the Non-Hispanic population of Manchester township across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Manchester township across relevant racial categories.
Key observations
Of the Non-Hispanic population in Manchester township, the largest racial group is White alone with a population of 4,262 (95.47% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/manchester-township-mi-population-by-race-and-ethnicity.jpeg" alt="Manchester township Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Manchester township Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of North Manchester by race. It includes the distribution of the Non-Hispanic population of North Manchester across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of North Manchester across relevant racial categories.
Key observations
Of the Non-Hispanic population in North Manchester, the largest racial group is White alone with a population of 4,322 (91.39% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 North Manchester Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of West Manchester by race. It includes the distribution of the Non-Hispanic population of West Manchester across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of West Manchester across relevant racial categories.
Key observations
Of the Non-Hispanic population in West Manchester, the largest racial group is White alone with a population of 361 (96.01% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 West Manchester Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of North Manchester by race. It includes the distribution of the Non-Hispanic population of North Manchester across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of North Manchester across relevant racial categories.
Key observations
Of the Non-Hispanic population in North Manchester, the largest racial group is White alone with a population of 4,818 (95.16% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/north-manchester-in-population-by-race-and-ethnicity.jpeg" alt="North Manchester Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 North Manchester Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Manchester township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Manchester township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 84.84% of the total residents in Manchester township. Notably, the median household income for White households is $56,782. Interestingly, despite the White population being the most populous, it is worth noting that Black or African American households actually reports the highest median household income, with a median income of $81,649. This reveals that, while Whites may be the most numerous in Manchester township, Black or African American households experience greater economic prosperity in terms of median household income.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Manchester township median household income by race. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of West Manchester township by race. It includes the distribution of the Non-Hispanic population of West Manchester township across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of West Manchester township across relevant racial categories.
Key observations
Of the Non-Hispanic population in West Manchester township, the largest racial group is White alone with a population of 14,767 (86.79% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/west-manchester-township-pa-population-by-race-and-ethnicity.jpeg" alt="West Manchester township Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 West Manchester township Population by Race & Ethnicity. You can refer the same here
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in West Manchester. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of West Manchester population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.49% of the total residents in West Manchester. Notably, the median household income for White households is $56,941. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $56,941.
https://i.neilsberg.com/ch/west-manchester-oh-median-household-income-by-race.jpeg" alt="West Manchester median household income diversity across racial categories">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 West Manchester median household income by race. You can refer the same here
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Each year, the Greater Manchester Travel Diary Survey (TRADS) collects detailed transport and travel information from every member (aged five or older) of 2,000 Greater Manchester households. Respondents provide details about all the trips they make in a 24-hour period. TRADS focuses on the specifics of the trips and the characteristics of the people making them, rather than attitudes to, and satisfaction with, travel. The survey sample is designed to be representative of each Greater Manchester (GM) district based on resident demographics. The survey runs throughout the year, from the beginning of February to the end of the following January. The only days when surveys aren’t conducted are Christmas Day and any days following a bank holiday. The data collected from 2,000 GM households equates to more than 4,500 residents and around 10,000 trips. The key information captured by the survey includes trip origins and destinations, travel times, travel methods, and journey purposes. Surveying is carried out face-to-face by experienced interviewers. The response rate was 58% for both 2017-19 and 2024. The survey’s annual sample - a random probability sample stratified by district - provides confidence intervals of +/- 1% to 2% at the GM household level, and +/- 7% to 8% at the district household level. Before the pandemic, trip estimates were based on data collected over three years, providing confidence intervals of +/- 1% at the GM household level, and +/- 3% to 4% at the district household level. However, since 2020, travel habits have been too unstable for this approach, so estimates from 2021 onwards are based on single-year data. The survey data is weighted/expanded to the GM population based on each district’s population by age, gender, and Acorn Category. The weights are small, with high weighting efficiency. Between 2019 and 2022, the weighting methodology was updated to better account for population growth. In 2019, data was expanded to the Census 2011 population levels, while 2024 data is expanded to the 2023 mid-year population estimates. This change has most notably impacted districts with significant population growth, such as Manchester and Salford, where the estimated number of trips has increased despite a decrease in the average trip rate per person. In 2023, the questionnaire was updated to include new travel modes (eg distinguishing between electric and combustion engine car drivers) and new demographic questions (eg sexual orientation, gender identity). These updates remain in place for 2024. Changes were also made in 2023 to better capture commute and business trips, reflecting the working habits of GM residents, resulting in more commute trips and fewer business trips being recorded. For the 2024 survey, business trips and commute trips were combined into one 'Business and Commuting' category, due to very few business trips being recorded overall. The report includes data estimates for 2019 and 2024. While overall estimates at the district household level have confidence intervals of +/- 7% to 8%, caution is advised when interpreting sub-group estimates (eg commute trips, short trips, age, hour, and purpose) due to larger confidence intervals. Before the pandemic, TRADS estimates closely aligned with key variables and other data sources (eg census data, ticket sales, Google Environment Insight Explorer). And generally, TRADS trip estimates show remarkable year-on-year stability, even for smaller modes and journey purposes. For example, the number of taxi trips has consistently been around 100,000 daily since 2017. Note: totals in tables may not sum precisely due to rounding to the nearest 1,000. If you would like more details of the surveying methodology, our technical notes can be made available on request. For more information about TRADS or for further analysis, please contact insight@tfgm.com.