This project will explore the impact of the economic recession on cities and households through a systematic comparison of the experiences of two English cities, Bristol and Liverpool.The research will use both quantitative and qualitative approaches. Interviews will be held in both cities with stakeholders from across the public, private and voluntary and community sectors. A social survey of 1000 households will also be conducted in the two cities covering 10 specific household types. A series of in-depth qualitative interviews will then be held with households drawn from the survey and chosen to illustrate the spectrum of experience.In the context of globalisation and the rescaling of cities and states, the research aims to develop our understanding of the relationship between economic crisis, global connectivity and the transnational processes shaping cities and the everyday lives of residents. It will explore the 'capillary-like' impact of the crisis and austerity measures on local economic development, and local labour and housing markets, as well as highlight the intersecting realities of everyday life for households across the life course.The research will document the responses and coping strategies developed across different household types and evaluate the impact and effectiveness of 'anti-recession' strategies and policies.

Graph and download economic data for Ocean Freight Rates on Grain, New York to Liverpool (M03034M504NNBR) from Jan 1887 to Sep 1939 about Liverpool, grains, sea, freight, New York, United Kingdom, NY, rate, and USA.

The purpose of the project was to investigate the character of Liverpool society during the first century of its rapid commercial expansion, and in particular to address the question whether its social characteristics help to explain the dynamic nature of its economic growth. The particular questions addressed include the origins of in-migrants to Liverpool, occupational structure and change, family and business networks, and the character of the governing elite and their use of power. The method was to input major sources for the history of Liverpool into computer files, to link names and compile information about Liverpool inhabitants. This allowed information to be built up about geographical origins, occupations, wealth, residential location, family and business or political networks and inter-generational continuity in the town.

United Kingdom Port Traffic: Freight Tonnage: Volume: Liverpool data was reported at 7.833 Tonne mn in Dec 2024. This records a decrease from the previous number of 8.040 Tonne mn for Sep 2024. United Kingdom Port Traffic: Freight Tonnage: Volume: Liverpool data is updated quarterly, averaging 7.984 Tonne mn from Mar 2009 (Median) to Dec 2024, with 64 observations. The data reached an all-time high of 8.993 Tonne mn in Jun 2021 and a record low of 6.159 Tonne mn in Mar 2010. United Kingdom Port Traffic: Freight Tonnage: Volume: Liverpool data remains active status in CEIC and is reported by Department for Transport. The data is categorized under Global Database’s United Kingdom – Table UK.TA024: Port Statistics: Port Traffic. [COVID-19-IMPACT]

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Liverpool: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 11(2.79%) households where the householder is under 25 years old, 157(39.85%) households with a householder aged between 25 and 44 years, 90(22.84%) households with a householder aged between 45 and 64 years, and 136(34.52%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the borough of Liverpool, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Liverpool median household income by age. You can refer the same here

In 2023, London had a gross domestic product of over 569 billion British pounds, by far the most of any region of the United Kingdom. The region of South East England which surrounds London had the second-highest GDP in this year, at over 360 billion pounds. North West England, which includes the major cities of Manchester and Liverpool, had the third-largest GDP among UK regions, at almost 250 billion pounds. Levelling Up the UK London’s economic dominance of the UK can clearly be seen when compared to the other regions of the country. In terms of GDP per capita, the gap between London and the rest of the country is striking, standing at over 63,600 pounds per person in the UK capital, compared with just over 37,100 pounds in the rest of the country. To address the economic imbalance, successive UK governments have tried to implement "levelling-up policies", which aim to boost investment and productivity in neglected areas of the country. The success of these programs going forward may depend on their scale, as it will likely take high levels of investment to reverse economic neglect regions have faced in the recent past. Overall UK GDP The gross domestic product for the whole of the United Kingdom amounted to 2.56 trillion British pounds in 2024. During this year, GDP grew by 0.9 percent, following a growth rate of 0.4 percent in 2023. Due to the overall population of the UK growing faster than the economy, however, GDP per capita in the UK fell in both 2023 and 2024. Nevertheless, the UK remains one of the world’s biggest economies, with just five countries (the United States, China, Japan, Germany, and India) having larger economies. It is it likely that several other countries will overtake the UK economy in the coming years, with Indonesia, Brazil, Russia, and Mexico all expected to have larger economies than Britain by 2050.

Key economic and socio-economic data for the six Combined Authorities of Greater Manchester, Liverpool, Peterborough and Cambridgeshire, Tees Valley, West Midlands and West of England as well as each of the constituent Local Authorities within them.

United Kingdom Waterborne Passenger Movements: SC: IM: ow: Liverpool to Douglas data was reported at 268.215 Unit th in 2017. This records an increase from the previous number of 254.247 Unit th for 2016. United Kingdom Waterborne Passenger Movements: SC: IM: ow: Liverpool to Douglas data is updated yearly, averaging 267.559 Unit th from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 324.128 Unit th in 2003 and a record low of 89.000 Unit th in 1993. United Kingdom Waterborne Passenger Movements: SC: IM: ow: Liverpool to Douglas data remains active status in CEIC and is reported by Department for Transport. The data is categorized under Global Database’s United Kingdom – Table UK.TA016: Waterborne Passenger Movements: by Type of Route.

United Kingdom Waterborne Passenger Movements: SC: NI: ow: Liverpool to Belfast data was reported at 296.566 Unit th in 2017. This records an increase from the previous number of 268.006 Unit th for 2016. United Kingdom Waterborne Passenger Movements: SC: NI: ow: Liverpool to Belfast data is updated yearly, averaging 166.653 Unit th from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 296.566 Unit th in 2017 and a record low of 34.000 Unit th in 1994. United Kingdom Waterborne Passenger Movements: SC: NI: ow: Liverpool to Belfast data remains active status in CEIC and is reported by Department for Transport. The data is categorized under Global Database’s UK – Table UK.TA016: Waterborne Passenger Movements: by Type of Route.

The aim of these date is to produce a machine-readable edition of the Liverpool Plantation Registers 1744-84, and of the known voyages, masters, shipowners and life histories of the vessels listed therein through to 1786.

United Kingdom Aircraft Movement: AT: OA: Liverpool data was reported at 35,968.000 Unit in 2017. This records a decrease from the previous number of 39,077.000 Unit for 2016. United Kingdom Aircraft Movement: AT: OA: Liverpool data is updated yearly, averaging 36,230.500 Unit from Dec 1997 (Median) to 2017, with 20 observations. The data reached an all-time high of 49,666.000 Unit in 2005 and a record low of 27,064.000 Unit in 1999. United Kingdom Aircraft Movement: AT: OA: Liverpool data remains active status in CEIC and is reported by Civil Aviation Authority. The data is categorized under Global Database’s UK – Table UK.TA006: Aircraft Movement: by Airport (Annual).

Results presented as number in each group with proportion (%) or Median (range) grouped by Liverpool outcome score (LOS) at follow-up; LOS 2 or 3 represents Severe or Moderate impairment; LOS 4 or 5 represents Mild or No Impairment; US$, United Sates Dollars.*§‡Significant difference in median values or proportion of patients between ‘LOS 2 or 3’ and ‘LOS 4 or 5’ groups (p = 0.048*, p = 0.004§ and p = 0.007‡ respectively). Significance measured via Mann Whitney U or Fisher's Exact Test.†15 participants provided specific information on admission medication cost.¶29 participants provided information on discharge medication costs.

Australia Air Pollutants: New South Wales: Sydney South-West: Liverpool: Ozone: Max Rolling 4-hour Avg data was reported at 3.100 100 ppm in 17 May 2025. This records an increase from the previous number of 2.000 100 ppm for 16 May 2025. Australia Air Pollutants: New South Wales: Sydney South-West: Liverpool: Ozone: Max Rolling 4-hour Avg data is updated daily, averaging 2.800 100 ppm from Jan 2008 (Median) to 17 May 2025, with 6186 observations. The data reached an all-time high of 11.700 100 ppm in 11 Feb 2017 and a record low of 0.000 100 ppm in 09 Apr 2016. Australia Air Pollutants: New South Wales: Sydney South-West: Liverpool: Ozone: Max Rolling 4-hour Avg data remains active status in CEIC and is reported by State of New South Wales Department of Planning, Industry and Environment. The data is categorized under Global Database’s Australia – Table AU.ESG.E004: Air Quality Index & Air Pollutants. [COVID-19-IMPACT]

About this dataset

Context

The dataset presents the median household income across different racial categories in Liverpool. 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 Liverpool population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 83.41% of the total residents in Liverpool. Notably, the median household income for White households is $77,845. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $144,250. This reveals that, while Whites may be the most numerous in Liverpool, Asian households experience greater economic prosperity in terms of median household income.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Liverpool.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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

Australia Air Quality Index: New South Wales: Sydney South-West: Liverpool: Nitrogen Dioxide: Max 1-hour Avg data was reported at 14.000 Index in 17 May 2025. This records a decrease from the previous number of 18.000 Index for 16 May 2025. Australia Air Quality Index: New South Wales: Sydney South-West: Liverpool: Nitrogen Dioxide: Max 1-hour Avg data is updated daily, averaging 18.000 Index from Dec 2008 (Median) to 17 May 2025, with 5851 observations. The data reached an all-time high of 54.000 Index in 12 Sep 2017 and a record low of 0.000 Index in 12 Jan 2024. Australia Air Quality Index: New South Wales: Sydney South-West: Liverpool: Nitrogen Dioxide: Max 1-hour Avg data remains active status in CEIC and is reported by State of New South Wales Department of Planning, Industry and Environment. The data is categorized under Global Database’s Australia – Table AU.ESG.E004: Air Quality Index & Air Pollutants. [COVID-19-IMPACT]

Google移动趋势：Retails & Recreation：澳大利亚：新南威尔士州：City of Liverpool在09-30-2022达18.000%，相较于09-29-2022的11.000%有所增长。Google移动趋势：Retails & Recreation：澳大利亚：新南威尔士州：City of Liverpool数据按日更新，02-15-2020至09-30-2022期间平均值为2.000%，共959份观测结果。该数据的历史最高值出现于12-23-2021，达30.000%，而历史最低值则出现于12-25-2020，为-72.000%。CEIC提供的Google移动趋势：Retails & Recreation：澳大利亚：新南威尔士州：City of Liverpool数据处于定期更新的状态，数据来源于Google LLC，数据归类于全球数据库的澳大利亚 – Table AU.Google.GM: Mobility Trends: Retail & Recreation。

The Real Estate Adaptation and Innovation within an integrated Retailing system (REPAIR) project, conducted at the University of Glasgow and University of Sheffield, investigated the changes experienced across the retail cores of five UK cities Edinburgh, Glasgow, Hull, Liverpool and Nottingham between 2000 and 2021. The project examined different aspects of the property market and built environment across four separate work streams.

The primary data stored here relates to Work Package B and was collected via semi-structured interviews with city centre actors, including: property professionals; retailers; architects; planners; and other local authority officials. The interviews investigate the urban form and land use innovations emerging in response to the structural changes experienced in recent years in city centre retail markets.

The findings explore the issues related to redundant and vacant properties and adaptive reuse, focusing on: retail unit and shopping centre design innovation; public realm regeneration; the experience economy; and city centre events. Some of the interviews - those conducted in 2021 after the pandemic started - also capture the effects of the pandemic on retailing centres.

The retail sector is crucial to the economic health and vitality of towns and cities and is a core component of the national economy, but is experiencing an ongoing period of change and the challenges faced by centres are being met in different ways, with different outcomes. Consumers are behaving, shopping and using urban centres in new and diverse ways and many retailing centres have experienced falling footfall, retailer closures and a rise in empty retail units. In an attempt to reverse the cycle of decline, centres need to be multi-functional places and policy-makers are encouraging more mixed use development. Large-scale mixed-use re-development of obsolete stock, novel temporary land uses, events and public realm works are being used to try to make urban centres more attractive and increase their competitive edge. Yet, not everyone is experiencing the benefits of these changes. Mistrust, tension and conflict can arise from land use changes and become barriers to further renewal and change, limiting the effectiveness of these "town centre first" policies. A recent ESRC-funded study undertaken by researchers at Manchester Metropolitan University blamed these tensions and lack of co-operation as significant contributors to the continued declined of retailing in many centres (Parker, 2015).

This project seeks to explore one of the largest stakeholder groups within the sector. The objectives and behaviour of land and property owners, developers and investors are significant to the use and form of retailing centres. The project explores how ownership and the behaviour of this stakeholder group impact on the sector, by exploring issues around changing ownership and use patterns; innovations in design form; the ability of the industry to respond to change; and the ways the group engages and interacts with other stakeholders in urban centres. Thus, it aims to examine how their expectations, perceptions, practices and co-operation help or limit experimentation with new uses, building types and designs.

The research will explore issues around: whether retailers and landlords in city centres are becoming more or less diverse; whether new design formats, flexible uses and large scale redevelopments can help struggling centres; the extent to which established practices and procedures in the real estate market encourage or even hinder new uses; and whether stakeholders can work together in better ways for the future health of town and city centres. These issues will be examined using five case study cities over the period 1997-2017: Glasgow, Edinburgh, Liverpool, Sheffield and Nottingham.

The project will bring together different data that has not been available previously, to map, measure and identify any links between changes in land and building use, vacancy and ownership over the last 20 years. It will analyse and identify new developments and novel land and building uses and designs and, by talking to developers, designers, planners and occupiers, the researchers will identify the factors shaping these changes and how they impact on cities and shoppers. The project will examine established real estate market practices, such as lease lengths, rent review terms, repair obligations and use clauses to see how adaptable the industry is to change when shoppers and retailers want new and unusual property uses and forms. Finally, the researchers will talk to different centre users, managers and owners to explore how relationships might work well or badly and identify good practice for the creation of new developments and adaptions to the existing building stock to help the retail sector in cities.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in East Liverpool: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 239(6.03%) households where the householder is under 25 years old, 1,196(30.16%) households with a householder aged between 25 and 44 years, 1,527(38.50%) households with a householder aged between 45 and 64 years, and 1,004(25.32%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of East Liverpool, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 East Liverpool median household income by age. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Liverpool, TX, 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, Liverpool did not include 2, 6, or 7-person households. Across the different household sizes in Liverpool the mean income is $100,363, and the standard deviation is $70,773. The coefficient of variation (CV) is 70.52%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $29,375. It then further increased to $190,179 for 5-person households, the largest household size for which the bureau reported a median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 2023 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 Liverpool median household income. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Liverpool township: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 7(1.81%) households where the householder is under 25 years old, 90(23.32%) households with a householder aged between 25 and 44 years, 177(45.85%) households with a householder aged between 45 and 64 years, and 112(29.02%) households where the householder is over 65 years old.
• In Liverpool township, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Liverpool township median household income by age. You can refer the same here