UK FCA Financial Lives Survey

Datadory delivers uk fca financial lives survey data covering four nationally representative waves of UK adults, 2017 through 2024, up to 19,145 respondents each: product holdings, cash savings, credit, mortgages, pensions, payments, fraud, financial resilience and vulnerability, as crosstab tables carrying unweighted bases, weighted counts, column and row percentages and significance-test flags.

What is the UK FCA Financial Lives Survey?

UK FCA Financial Lives Survey data is the Financial Conduct Authority's measurement of how British adults actually bank, save, borrow, insure and retire - and where they fall through the gaps. The UK's conduct regulator has fielded it four times: April 2017 (12,865 respondents), February 2020 (16,190), May 2022 (19,145) and February-June 2024 (17,950), with cost-of-living recontact surveys layered in between in January 2023 and January 2024.

Each wave ships a key findings report, an eighteen-part topic deck series running from cash savings and consumer investments through mortgages, credit and loans, pensions, payments, fraud and vulnerability, a full questionnaire with crib sheets, a technical report, a data user guide, and the multi-volume data tables behind every published chart. It is the evidence base the regulator itself uses to size consumer harm and track whether outcomes are improving - which makes it the citation of record for anyone arguing about UK household finance.

Get a sample of this dataset scoped to your topics and demographic cuts.

What do the survey tables actually look like?

Three rows from the 2024 product-holding annex show the grammar every volume shares - item, base, percentage, significance letters:

TABLE : Product holding annex, Table 1         WAVE : 2024

ITEM : Any day-to-day account
       unweighted base 17609    weighted 17521
       total 98%     men 98%     ages 18-24 95%

ITEM : Any current account
       unweighted base 17528    total 97%
       sigtest -> differs from columns C1 D1 E1 G1 H1 I1

ITEM : Savings account (bank, building society)
       unweighted base 11207

Read it once and the whole catalogue falls open: every finding arrives as a percentage sitting on an explicit base, broken down by sex, age band and ethnicity group, with letters pointing at whichever columns it statistically differs from. The third row is the story the headlines hide - 97 to 98 percent of adults hold a payment account, while the savings-account row sits on an unweighted base of 11,207 against 17,528 for any current account. That spread, quantified across every demographic cut, is what these tables exist to deliver.

What fields does the survey include?

The 2024 release alone comprises eighteen data-table volumes - demographics, attitudes, product ownership, assets and debt, retail banking, cash savings, payments, consumer investments, mortgages, credit and loans, general insurance and protection, pension accumulation, pension decumulation, advice and support, cross-sector, topics, summaries and consumer experiences - plus seventeen matching tracker volumes repeating the same questions across earlier waves, an annex dedicated to product holdings, caveats tables, and the underlying chart data behind each report.

The spine documented below repeats in every volume; each topic volume then layers on its own items and extra demographic breakdowns. Everything beyond the spine ships as additional fields on request: name the volume, the topic and the demographic cut, and the extract returns the matching blocks with bases intact.

Where does coverage run, and at what grain?

  • Geography: United Kingdom, nationally representative of adults, with nation and region breakdowns carried in some volumes.
  • Temporal: four main waves - April 2017, February 2020, May 2022 and February-June 2024 - plus cost-of-living recontacts in January 2023 and January 2024; tracker volumes align questions across waves, so the 2017-2024 trend runs without guesswork.
  • Granularity: aggregate crosstabulations by sex, age band, ethnicity group and further per-volume breakdowns, each cell carrying unweighted and weighted bases; respondent-level records for the 2024 wave circulate separately from the published tables.

Set against the wider catalog - where the average quality score across all 1,744 datasets is 7.81 - this slice scores 8/10, carried by national representativeness, regulator-grade documentation and a seven-year comparable series.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

You choose the channel and the cadence; the table grammar above travels unchanged across all three. Full-history loads suit teams rebuilding the 2017-2024 trend once and joining it to their own portfolio or panel data. Wave-scoped extracts suit product surfaces and dashboards that render a handful of percentages with their bases attached. Warehouse delivery suits analysts running demographic cuts in SQL next to their own customer tables. Changing cadence is a settings conversation, not a re-integration project.

Who uses this data, and for what?

  1. Vulnerability and fair-treatment research - this is the instrument the regulator built to size harm, so resilience indicators, vulnerability characteristics and experiences-of-firm results let compliance teams benchmark their own book against the national picture instead of a trade poll.
  2. Market sizing and gap analysis - the 2024 product-holding rows put any current account at 97 percent of adults while the savings-account row rests on an unweighted base of 11,207 against 17,528; the distance between those numbers is the addressable market for savings, investment and protection products, pre-segmented by age band and ethnicity group.
  3. Product strategy for banks, insurers and pension providers - subgroup adoption sits one column away from every headline, so a payments, decumulation or protection decision can be argued from the same tables the regulator publishes.
  4. Conduct and communications benchmarking - quote the regulator's own figures rather than secondhand summaries, with the base that produced each percentage still attached.
  5. Policy research and journalism - tracker volumes align questions across the 2017-2024 waves, so a trend claim footnotes to an aligned series instead of two differently-worded press releases.
  6. Thought leadership and content - percentages backed by explicit bases survive scrutiny; cite the 95 percent account-holding figure for 18-24s knowing the cell behind it is public.

Get a sample of this dataset scoped to the volumes and cuts you argue with most.

Which personas get the most value?

Competitive intel and product teams at banks, building societies, insurers and pension providers get the demand-side map of their market, including the people who hold nothing with anyone - the targeting brief written by the population itself. Market researchers and consultants get the standard citation for UK financial-services sizing: weighted, wave-consistent, and regulator-published, so 'around a third of adults lack a savings account' footnotes to a row rather than a vibe. Data scientists and ML engineers get tidy crosstabs and aligned tracker series ready to join onto internal segments, and the 2024 respondent-level records carry weights with documented application instructions. Journalists, academics and policy analysts get the primary record behind every UK financial-vulnerability headline, deep enough to disaggregate what headlines average away.

Which datasets pair well with this one?

Notes and adjacent reading:

The card rail below collects these alongside the rest of the vertical: browse the whole shelf on the Consumer Finance data hub or the ranked shortlist of the best consumer finance datasets.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - the shared spine of every Financial Lives data-table volume; topic-specific items and extra breakdowns layer on per volume
fieldtypedefinitionexample
Table block labelstringColumn identifier letters shown above each demographic breakdown in every table (Total = A, then sex, age band and ethnicity group columns), referenced by significance-test flags.A1
Unweighted baseintegerNumber of respondents contributing to the cell before weighting; the 2024 total base is 17,950.17950
Weighted basenumberPopulation-representative weighted count for the cell after applying the Financial Lives survey weights.17521
Col %numberColumn percentage: share of that demographic column holding the product or answering affirmatively, stored as a proportion (0.98 reads as 98 percent).0.98
Row %numberRow percentage across demographic columns, for comparing subgroup composition within a survey item.0.48
SigtesttextSignificance-testing flags listing which column identifiers differ statistically from the given column at conventional levels.C1 D1 E1 G1 H1 I1
Product holding itemsenumSurvey items in the product-holding annex - any day-to-day account, any current account, current account with a bank or building society, savings account and onward - each reported with its own base and percentage block.Any current account

Questions buyers ask

What is the UK FCA Financial Lives Survey?

The Financial Conduct Authority's flagship tracking survey of UK adults' finances: product holdings, attitudes to money, experiences engaging with financial services firms, and vulnerability. Four main waves ran in 2017, 2020, 2022 and 2024, with cost-of-living recontacts in January 2023 and January 2024.

How many people take part in each wave?

12,865 respondents in 2017, 16,190 in February 2020, 19,145 in May 2022 and 17,950 in the 2024 wave, whose fieldwork ran from 5 February to 16 June 2024. Each wave is nationally representative of UK adults, with nation and region breakdowns in some volumes.

What topics does the survey cover?

Eighteen topic areas in the 2024 tables: demographics and attitudes, product ownership, assets and debt, retail banking, cash savings, payments, consumer investments, mortgages, credit and loans, general insurance and protection, pension accumulation and decumulation, advice and support, fraud, and consumer experiences.

Is the series comparable across waves?

Yes - by design. Seventeen tracker volumes per recent wave repeat the same questions across earlier waves so time-series comparisons stay aligned, and caveats tables flag methodology changes. Core measures such as product holding and vulnerability run back to the 2017 baseline.

Does it contain individual-level records or only summary tables?

The published layer is aggregate crosstabulations by sex, age band, ethnicity group and further breakdowns, with unweighted bases, weighted counts and significance flags on every cell. Respondent-level records for the 2024 wave, including weights and instructions for applying them, circulate separately from the tables.

Can Datadory scope a pull to specific topics or demographics?

Yes. Name the topic volumes, the questions and the demographic cuts you need - savings, credit, pensions, vulnerability, by age band or ethnicity group - and the sample returns the matching table blocks with unweighted and weighted bases intact.

See the rows before you pay anything.

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