Characteristics of Our Future Health participants
This page provides descriptive statistics for data release 14 (released May 2026) in the Our Future Health Trusted Research Environment (TRE).
About this page
We have computed the statistics based on the data as it appears in the TRE. We applied statistical disclosure controls to minimise risks of re-identification by combining categories where necessary.
Tables are presented with combined data for all versions of the questionnaire, except for Table 10 (Health characteristics). Other than the question on current health status, Table 10 includes statistics for version 2 only. Version 1 of the questionnaire, which was completed by approximately 52,000 of 2.0 million participants, had a different and smaller set of options for the health history questions, as described in our data dictionary and coding file.
Table 1 provides information on the data types available in the current data release.
Table 7 provides information on the point-of-care testing (POCT) lipid profile for a subgroup of participants that attended a clinic appointment between July 2022 and December 2024.
We have also produced prevalence tables based on the self-reported diagnoses and self-reported medication use in the questionnaire.
Please note, some of the percentage categories on this page may not add up exactly to 100.0%. This is due to rounding.
Table 1: Data availability
Participant dataa
2,022,814
100.0
Baseline questionnaire datab
2,021,810
100.0
Clinic measurements datac
Clinic measurements data
1,518,202
75.1
POCT lipid profile*
1,159,273
57.3
Participant geographies datad
1,983,038
98.0
Genetic datae
Genotyping array data
755,000
37.3
Imputed genetic data
755,000
37.3
Linked health records dataf
1,666,336
82.4
Admitted Patient Care (HES APC)
1,378,156
68.1
Accident and Emergency (HES A&E; up to April 2020)
1,175,047
58.1
Emergency Care Dataset (ECDS; April 2020 onwards)
999,837
49.4
Outpatient (HES OP)
1,596,222
78.9
Office of National Statistics (ONS) Death Registration
5,579
0.3
National Disease Registration Service (NDRS) Cancer Pathways
119,226
5.9
NDRS Cancer Registry Patient Tumour
192,600
9.5
NDRS Cancer Registry Treatment
161,223
8.0
NDRS Cancer Registry pre-1995*
10,008
0.5
NHS Medicines Dispensed in Primary Care
1,572,477
77.7
N: total number of participants with available data of the given type.
%: percentage of total participants with available data of the given type.
* New datasets in release 14.
a The participant data includes information on sex, gender, ethnicity, month and year of birth, consent version, month and year of consent, month and year of registration and blood sample. See the Participant data page for more information.
b The questionnaire data includes responses from participants who have completed all five sections: about you, work and education, lifestyle, family health history, and health history. The data captures all responses from both version 1 and version 2 of the questionnaire. See the Questionnaire data page for more information. Please note, in the current release, due to timing and synchronisation issues, 1,004 participants are present in the Participant table but not in the Questionnaire table.
c The clinic measurements data includes information on: 1) baseline physical measurements (height and weight, waist circumference, heart rate and rhythm, and blood pressure) taken by trained staff when participants attend their appointment; 2) data on point-of-care testing (POCT) lipid profile for a subgroup of participants that attended a clinic appointment between July 2022 and December 2024 (available as separate table to clinic measurements in TRE). See the Clinic measurements data page for more information.
d The participant geographies data includes the country and region, Lower Super Output Area (England & Wales), Middle Super Output Area (England & Wales), and Intermediate Zones (Scotland), corresponding to each participant’s home address at registration. See the Participant geographies data page for more information.
e The genotyping array and imputed genetic data are organised in 3 folders: 2 sets of folders containing participant genotypes (pVCF and BGEN format), and one folder containing sample-level information. See the Genetic data page for more information.
f The number of participants who have at least one record in one or more of the linked health data tables: Admitted Patient Care (HES APC), Accident and Emergency (HES A&E), Emergency Care Dataset (ECDS), Outpatient (HES OP), Office of National Statistics (ONS) Death Registration, National Disease Registration Service (NDRS) Cancer Pathways, NDRS Cancer Registry Patient Tumour, and NDRS Cancer Registry Treatment. The HES A&E resource was retired in March 2020 and the ECDS resource is a continuation of this dataset from April 2020 to the present. See the Linked Health records data page for more information.
Note that participant withdrawals are now processed separately for each dataset to ensure accurate and consistent handling. As a result, small differences in participant counts may appear across datasets when one dataset was generated later than another. In some cases, this means the Participant table may contain slightly fewer records than other tables.
Cohort characteristics
Table 2: Demographic characteristics of Our Future Health and the 2021/2022 UK Censuses
Total
2,021,810 (100%)
100%
Sexa
Female
1,156,921 (57.2%)
51.7%
Male
863,590 (42.7%)
48.3%
Intersex/other/prefer not to answer
1,299 (0.1%)
N/A
Age (years)b
18-29
196,756 (9.7%)
18.7%
30-39
302,418 (15%)
17.1%
40-49
320,861 (15.9%)
15.9%
50-59
432,415 (21.4%)
17.3%
60-69
461,457 (22.8%)
13.7%
70-79
263,232 (13%)
11.0%
80+
44,671 (2.2%)
6.3%
Ethnicityc
Asian Bangladeshi
4,879 (0.2%)
0.8%
Asian Indian
52,586 (2.6%)
2.8%
Asian Pakistani
15,051 (0.7%)
2.1%
Chinese
21,488 (1.1%)
0.8%
Other Asian
18,946 (0.9%)
1.4%
Black African
19,676 (1%)
2.0%
Black Caribbean
8,259 (0.4%)
1.0%
Other Black
3,876 (0.2%)
0.3%
White British
1,644,382 (81.3%)
77.7%
Irish
27,560 (1.4%)
7.4%
Polish
20,197 (1%)
7.4%
Other White
120,045 (5.9%)
7.4%
Arab
5,167 (0.3%)
0.5%
Any other
19,584 (1%)
1.4%
Mixed
35,710 (1.8%)
1.8%
Prefer not to answer
4,403 (0.2%)
N/A
N: total number of participants that fall within the given category.
%: percentage of total participants that fall within the given category.
a Reported sex registered at birth (DEMOG_SEX_1_1 in v1 of the questionnaire, and DEMOG_SEX_2_1 in v2). Response options differed between questionnaire versions in that “Other” in v1 was replaced by “Intersex” in v2.
b Derived from date of questionnaire submission and year/month of birth only (Variable names: SUBMISSION_DATE, and BIRTH_YEAR, BIRTH_ MONTH).
c Higher level ethnic groups (Variable name: DEMOG_ETHNICITY_1_1). Missing data for 1 participant due to technical data loss prior to October 2022. For more information, see our Data Release Documentation.
Other Asian: any other Asian or Asian British background.
Other Black: Any other Black / African / Caribbean background.
White British: White - English / Welsh / Scottish / Northern Irish / British.
Other White: any other White background.
Any other: any other ethnicity.
Mixed: includes Mixed White and Black Caribbean; Mixed White and Black African; Mixed White and Asian; Any other mixed multiple ethnic background.
*Combined census data for adults (≥18 years) in England, Wales and Northern Ireland (2021) and Scotland (2022). If NA, data for the category was not available.
Table 3: Participant country and region at registration
Total
1,983,038 (100%)
100%
Country a / region b
England (E92000001)
1,904,380 (96%)
84.2%
North East England (TLC)
104,532 (5.3%)
4.0%
North West England (TLD)
233,381 (11.8%)
11.0%
Yorkshire and The Humber (TLE)
203,526 (10.3%)
8.2%
East Midlands (TLF)
174,113 (8.8%)
7.3%
West Midlands (TLG)
193,769 (9.8%)
8.8%
East of England (TLH)
202,813 (10.2%)
9.4%
London (TLI)
255,085 (12.9%)
13.0%
South East England (TLJ)
323,669 (16.3%)
13.8%
South West England (TLK)
213,492 (10.8%)
8.7%
Northern Ireland (N92000002 / TLN)
4,217 (0.2%)
2.8%
Scotland (S92000003 / TLM)
50,182 (2.5%)
8.4%
Wales (W92000004 / TLL)
24,259 (1.3%)
4.7%
N: total number of participants that fall within the given category.
%: percentage of total participants that fall within the given category.
a Variable name: COUNTRY_AT_REG.
b Variable name: REGION_AT_REG.
* Combined census data for adults (≥18 years) in England, Wales and Northern Ireland (2021) and Scotland (2022).
Table 4: Self-reported height, weight, and derived Body Mass Index
Weight (kg)b
N: 1,868,726
N: 1,052,776
N: 815,134
Mean [SD]
77.5 [18.0]
71.4 [16.9]
85.4 [16.3]
Height (cm)c
N: 1,974,776
N: 1,128,103
N: 845,776
Mean [SD]
169.9 [9.9]
164.0 [6.9]
177.8 [7.3]
BMI (kg/m2)d
N: 1,850,199
N: 1,041,565
N: 807,854
Mean [SD]
26.8 [5.6]
26.6 [6.1]
27.0 [4.9]
N: total number of participants that fall within the given category without missing data.
SD: Standard Deviation
a Based on reported sex registered at birth (DEMOG_SEX_1_1 in v1 of the questionnaire, and DEMOG_SEX_2_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.
b Variable name: DEMOG_WEIGHT_1_1. Extreme values were removed to produce this table (Min 20kg and max 400kg).
c Variable name: DEMOG_HEIGHT_1_1. Extreme values were removed to produce this table (Min 90cm and max 299cm).
d BMI calculated as weight (kg) / height (cm)2.
Table 5: Anthropometry measurements from clinic appointment
Weight (kg) b
N: 1,516,049
N: 845,011
N: 670,155
Mean [SD]
78.2 [17.5]
72.0 [16.2]
86.1 [15.8]
Height (cm) c
N: 1,515,640
N: 845,030
N: 669,725
Mean [SD]
169.0 [9.6]
163.2 [6.8]
176.4 [7.4]
BMI (kg/m2) d
N: 1,514,678
N: 844,241
N: 669,555
Mean [SD]
27.3 [5.6]
27.0 [6.0]
27.7 [5.0]
Waist circumference (cm) e
N: 1,513,200
N: 843,352
N: 668,967
Mean [SD]
90.2 [15.0]
85.4 [14.4]
96.3 [13.4]
N: total number of participants that fall within the given category without missing data.
SD: Standard Deviation
a Based on reported sex registered at birth (DEMOG_SEX_1_1 in v1 of the questionnaire, and DEMOG_SEX_2_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.
b Variable name: WEIGHT.
c Variable name: HEIGHT.
d BMI calculated as weight (kg) / height (cm)2.
e Variable name: WAIST.
Table 6: Heart measurements from clinic appointment
Systolic BP, (mmHg)b
1st Reading
N: 1,515,439
N: 844,673
N: 669,883
Mean [SD]
131.5 [18.8]
127.4 [18.9]
136.6 [17.5]
2nd Reading
N: 1,513,190
N: 843,200
N: 669,109
Mean [SD]
126.6 [17.5]
122.4 [17.5]
131.9 [16.1]
3rd Reading*
N: 132,853
N: 55,818
N: 76,960
Mean [SD]
135.1 [23.0]
131.3 [25.3]
137.9 [20.8]
Diastolic BP, (mmHg)c
1st Reading
N: 1,515,439
N: 844,673
N: 669,883
Mean [SD]
81.3 [10.7]
79.9 [10.5]
83.3 [10.6]
2nd Reading
N: 1,513,190
N: 843,200
N: 669,109
Mean [SD]
80.1 [10.4]
78.6 [10.1]
82.0 [10.4]
3rd Reading*
N: 132,853
N: 55,818
N: 76,960
Mean [SD]
83.1 [13.0]
81.8 [13.2]
84.1 [12.9]
Heart rate, (bpm)d
1st Reading
N: 1,515,439
N: 844,673
N: 669,883
Mean [SD]
73.6 [13.0]
75.0 [12.4]
71.9 [13.5]
2nd Reading
N: 1,513,190
N: 843,200
N: 669,109
Mean [SD]
73.0 [12.5]
74.4 [12.0]
71.2 [13.0]
3rd Reading*
N: 132,853
N: 55,818
N: 76,960
Mean [SD]
66.6 [18.5]
70.3 [19.6]
64.0 [17.2]
N: total number of participants that fall within the given category without missing data.
SD: Standard Deviation; BP: blood pressure
a Based on reported sex registered at birth (DEMOG_SEX_1_1 in v1 of the questionnaire, and DEMOG_SEX_2_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.
b Variable names: HEART_FIRST_BP_SYSTOLIC, HEART_SECOND_BP_SYSTOLIC, and HEART_THIRD_BP_SYSTOLIC.
c Variable names: HEART_FIRST_BP_DIASTOLIC, HEART_SECOND_BP_DIASTOLIC, and HEART_THIRD_BP_DIASTOLIC.
d Variable names: HEART_FIRST_RATE, HEART_SECOND_RATE, and HEART_THIRD_RATE.
* Third readings for heart measures are obtained only in v2 of the clinic measurements process and if at least one of the following criteria is met: SBP readings 1 and 2 are either both greater than or equal to 160 mmHg or both less than 90 mmHg; or Heart rate readings 1 and 2 are either both greater than or equal to 100 bpm or both less than 60 bpm, or Heart rhythm readings 1 and 2 are both “irregular”.
Table 7: POCT lipid profile from clinic appointment
TC (mmol/L)b
1st Reading
N: 1,144,630
N: 636,427
N: 507,593
Mean [SD]
5.4 [1.5]
5.6 [1.5]
5.0 [1.4]
2nd Reading*
N: 7,966
N: 6,111
N: 1,847
Mean [SD]
9.4 [1.3]
9.5 [1.3]
9.4 [1.4]
HDL (mmol/L)c
1st Reading
N: 1,144,630
N: 636,427
N: 507,593
Mean [SD]
1.5 [0.5]
1.7 [0.4]
1.3 [0.4]
2nd Reading*
N: 7,966
N: 6,111
N: 1,847
Mean [SD]
1.9 [0.5]
2.0 [0.5]
1.5 [0.5]
LDL (mmol/L)d
1st Reading
N: 1,088,782
N: 599,045
N: 489,153
Mean [SD]
3.1 [1.2]
3.2 [1.2]
3.0 [1.1]
2nd Reading*
N: 6,554
N: 4,884
N: 1,664
Mean [SD]
6.3 [1.1]
6.3 [1.1]
6.4 [1.1]
TG (mmol/L)e
1st Reading
N: 1,144,630
N: 636,427
N: 507,593
Mean [SD]
1.8 [1.1]
1.8 [1.1]
1.9 [1.2]
2nd Reading*
N: 7,966
N: 6,111
N: 1,847
Mean [SD]
2.5 [1.5]
2.4 [1.4]
2.9 [1.7]
NON-HDL (mmol/L)f
1st Reading
N: 1,088,887
N: 599,107
N: 489,196
Mean [SD]
3.8 [1.3]
3.9 [1.3]
3.8 [1.3]
2nd Reading*
N: 6,554
N: 4,884
N: 1,664
Mean [SD]
7.6 [1.2]
7.5 [1.2]
7.8 [1.3]
TC:HDL Ratiog
1st Reading
N: 1,088,887
N: 599,107
N: 489,196
Mean [SD]
3.8 [1.4]
3.5 [1.1]
4.1 [1.5]
2nd Reading*
N: 6,554
N: 4,884
N: 1,664
Mean [SD]
5.7 [1.9]
5.4 [1.6]
6.8 [2.4]
N: total number of participants that fall within the given category without missing data.
SD: Standard Deviation
a Based on reported sex registered at birth (DEMOG_SEX_1_1 in v1 of the questionnaire, and DEMOG_SEX_2_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.
b TC: Total Cholesterol; Variable names: TC_FIRST_READING, TC_SECOND_READING
c HDL: High-density lipoprotein cholesterol; Variable names: HDL_FIRST_READING, HDL_SECOND_READING
d LDL: Low-density lipoprotein cholesterol; Variable names: LDL_FIRST_READING, LDL_SECOND_READING
e TG: Triglycerides; Variable names: TG_FIRST_READING, TG_SECOND_READING
f Non-HDL: Non-high-density lipoprotein cholesterol calculated as TC minus HDL; Variable names: NONHDL_FIRST_READING, NONHDL_SECOND_READING
g TC:HDL ratio: Total cholesterol to HDL cholesterol ratio calculated as TC divided by HDL; Variable names: TC_HDL_RATIO_FIRST_READING, TC_HDL_RATIO_SECOND_READING
*A second set of lipid measurements were only obtained for participants whose initial TC values exceeded predefined clinical thresholds (≥ 7.5 mmol/L if the participant was < 30 years of age or ≥ 9.0 mmol/L if the participant was ≥ 30 years of age).
Table 8: Socioeconomic characteristics
Total (N)
2,021,810 (100%)
1,156,921 (57.2%)
863,590 (42.7%)
Annual household income b
<£18,000
192,364 (9.5%)
124,731 (10.8%)
67,498 (7.8%)
£18,000 to £30,999
305,317 (15.1%)
181,049 (15.6%)
124,127 (14.4%)
£31,000 to £51,999
413,179 (20.4%)
230,993 (20.0%)
182,046 (21.1%)
£52,000 to £100,000
523,951 (25.9%)
284,233 (24.6%)
239,596 (27.7%)
>£100,000
255,759 (12.7%)
128,466 (11.1%)
127,230 (14.7%)
Do not know/prefer not to answer
331,240 (16.4%)
207,449 (17.9%)
123,093 (14.3%)
Qualifications (highest level) c
College or university degree
1,048,164 (51.8%)
608,803 (52.6%)
438,887 (50.8%)
A-levels/AS-levels/BTEC or equivalent
332,054 (16.4%)
188,843 (16.3%)
143,063 (16.6%)
O-levels, GCSEs or equivalent
310,907 (15.4%)
184,856 (16.0%)
125,953 (14.6%)
CSEs or equivalent
83,962 (4.2%)
45,537 (3.9%)
38,403 (4.4%)
NVQ, HND or HNC or equivalent
72,328 (3.6%)
33,887 (2.9%)
38,407 (4.4%)
Other professional qualifications eg nursing, teaching
45,678 (2.3%)
27,778 (2.4%)
17,878 (2.1%)
None of the above
97,315 (4.8%)
50,510 (4.4%)
46,731 (5.4%)
Prefer not to answer
31,402 (1.6%)
16,707 (1.4%)
14,268 (1.7%)
Employment status d
Full or part-time student
65,609 (3.2%)
45,855 (4.0%)
19,692 (2.3%)
In paid employment or self-employed
1,240,541 (61.4%)
717,497 (62.0%)
522,553 (60.5%)
Looking after home and/or family
70,126 (3.5%)
60,765 (5.3%)
9,330 (1.1%)
On paid leave
11,224 (0.6%)
10,018 (0.9%)
1,199 (0.1%)
Retired
601,556 (29.8%)
309,603 (26.8%)
291,719 (33.8%)
Unable to work because of sickness or disability
59,751 (3.0%)
38,799 (3.4%)
20,857 (2.4%)
Unemployed
38,822 (1.9%)
22,011 (1.9%)
16,758 (1.9%)
Unpaid or voluntary work/unpaid carer
77,691 (3.8%)
53,237 (4.6%)
24,407 (2.8%)
None of the above/prefer not to answer
18,485 (0.9%)
10,412 (0.9%)
7,690 (0.9%)
N: total number of participants that fall within the given category.
%: percentage of total participants that fall within the given category.
a Based on reported sex registered at birth (DEMOG_SEX_1_1 in v1 of the questionnaire, and DEMOG_SEX_2_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.
b Variable name: HOUSING_INCOME_1_1.
c UK-specific qualifications (or equivalent): A levels and AS levels are generally obtained when leaving secondary school around 18 years of age; GCSEs and now-obsolete O levels and CSEs are generally obtained during secondary school around 16 years of age; NVQs, HNDs and HNCs are work-based, vocational qualifications. Variable name: EDU_QUAL_1_M.
d Variable names: WORK_STATUS_1_M and WORK_STATUS_2_M. Counts do not sum to their corresponding totals because participants can select multiple answers.
Table 9: Lifestyle characteristics
Total (N)
2,021,810 (100%)
1,156,921 (57.2%)
863,590 (42.7%)
Physical activity b
>4 times a week walk for at least 10 minutes
1,616,904 (80.0%)
926,479 (80.1%)
689,734 (79.9%)
>4 times a week moderate physical activity
987,074 (48.8%)
548,338 (47.4%)
438,315 (50.8%)
>4 times a week vigorous physical activity
447,237 (22.1%)
225,264 (19.5%)
221,766 (25.7%)
Cigarette smoking status c
Current smoker
140,672 (7.0%)
76,259 (6.6%)
64,307 (7.4%)
Former smoker
585,832 (29.0%)
317,567 (27.4%)
268,024 (31.0%)
Never-smoker
1,259,458 (62.3%)
744,433 (64.3%)
514,395 (59.6%)
Prefer not to answer / Missing / Unknown
35,848 (1.8%)
18,662 (1.6%)
16,864 (2.0%)
E-cigarette status (vaping) d
Ever used
331,204 (16.4%)
189,873 (16.4%)
141,152 (16.3%)
Never used
1,674,718 (82.8%)
958,939 (82.9%)
714,959 (82,8%)
Prefer not to answer
15,888 (0.8%)
8,109 (0.7%)
7,479 (0.9%)
Alcohol consumption e
Daily or almost daily
185,518 (9.2%)
79,215 (6.8%)
106,223 (12.3%)
3 to 4 times a week
381,334 (18.9%)
185,998 (16.1%)
195,204 (22.6%)
1 to 2 times a week
527,977 (26.1%)
287,978 (24.9%)
239,793 (27.8%)
1 to 3 times a month
320,749 (15.9%)
201,087 (17.4%)
119,528 (13.8%)
Special occasions
375,420 (18.6%)
260,330 (22.5%)
114,877 (13.3%)
Never
222,106 (11.0%)
138,317 (12.0%)
83,556 (9.7%)
Prefer not to answer
8,706 (0.4%)
3,996 (0.3%)
4,409 (0.5%)
N: total number of participants that fall within the given category.
%: percentage of total participants that fall within the given category.
a Based on reported sex registered at birth (DEMOG_SEX_1_1 in v1 of the questionnaire, and DEMOG_SEX_2_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.
b Variable names: For version 1: ACTIVITY_WALK_DAYS_1_1, ACTIVITY_MOD_DAYS_1_1, and ACTIVITY_VIG_DAYS_1_1; and for version 2: ACTIVITY_WALK_DAYS_2_1, ACTIVITY_MOD_DAYS_2_1, and ACTIVITY_VIG_DAYS_2_1.
c Individuals who currently smoke cigarettes at any frequency (all/most days/occasionally) are considered current smokers. Individuals who do not currently smoke and have never smoked or smoked on fewer than 100 occasions in their lifetime are considered never smokers (including if they have smoked anything other than cigarettes). Individuals who currently do not smoke cigarettes but smoked on all or most days in the past or smoked on more than 100 occasions in their lifetime are considered former smokers. For version 1 questionnaires, based on variables: SMOKE_STATUS_1_1, SMOKE_TOBACCO_PREV_1_1, and SMOKE_100_TIMES_1_1. For version 2 questionnaires, based on variables: SMOKE_TOBACCO_TYPE_1_M, SMOKE_REG_1_M, SMOKE_STATUS_2_1, and SMOKE_100_TIMES_2_1.
d Variable names: For version 1 questionnaires SMOKE_VAPE_1_2 and for version 2 questionnaires SMOKE_TOBACCO_TYPE_1_M.
e Variable name: ALCOHOL_CURR_1_1.
Table 10: Health characteristics
Version 1 and 2 of questionnaire
Total (N)
2,021,810 (100%)
1,156,921 (57.2%)
863,590 (42.7%)
Current health statusb
Poor
114,508 (5.7%)
69,040 (6.0%)
45,342 (5.3%)
Fair
490,041 (24.2%)
275,990 (23.9%)
213,745 (24.8%)
Good
1,113,174 (55.1%)
639,715 (55.3%)
472,986 (54.8%)
Excellent
292,864 (14.5%)
165,963 (14.3%)
126,791 (14.7%)
Do not know / Prefer not to answer
11,223 (0.6%)
6,213 (0.5%)
4,726 (0.5%)
Version 2 of questionnaire
Total (N)
1,968,939 (100%)
1,127,120 (57.3%)
840,550 (42.7%)
Any long-standing physical or mental health conditions or illnessesc
Yes
842,479 (42.8%)
504,326 (44.7%)
337,664 (40.2%)
No
1,049,359 (53.3%)
576,498 (51.1%)
472,451 (56.2%)
Do not know / Prefer not to answer
77,101 (3.9%)
46,296 (4.1%)
30,435 (3.6%)
Medical conditionsd
Autoimmune disorder
105,132 (5.3%)
78,339 (7.0%)
26,744 (3.2%)
Blood disorders (anaemia)
142,902 (7.3%)
120,052 (10.7%)
22,782 (2.7%)
Cancer
150,120 (7.6%)
84,525 (7.5%)
65,551 (7.8%)
Complications or difficulties in pregnancy or childbirth
124,702 (6.3%)
124,199 (11.0%)
488 (0.1%)
Digestive system or liver problems
237,556 (12.1%)
147,360 (13.1%)
90,097 (10.7%)
Endocrine, nutritional and metabolic disorders (e.g., diabetes, thyroid disorder, vitamin deficiencies)
211,066 (10.7%)
155,223 (13.8%)
55,740 (6.6%)
Eye or visual problems
338,167 (18.0%)
186,180 (17.3%)
151,813 (19.0%)
Fractures, breaks, or joint problems
449,683 (22.8%)
255 718 (22.7%)
193,781 (23.1%)
Heart or circulatory disease (e.g., high blood pressure or stroke)
318,010 (16.2%)
148,213 (13.1%)
169,660 (20.2%)
Kidney or urinary system disorders
122,147 (6.2%)
64,807 (5.7%)
57,277 (6.8%)
Lung or respiratory problems
216,266 (11.0%)
126,242 (11.2%)
89,914 (10.7%)
Mental health conditions (e.g., depression, bipolar disorder)
395,271 (20.1%)
275 737 (24.5%)
119,269 (14.2%)
Neurodevelopmental conditions (e.g., Autism Spectrum Disorder, ADHD)
46,801 (2.4%)
29,712 (2.6%)
16,978 (2.0%)
Neurological disorders (e.g., epilepsy)
49,262 (2.5%)
31,354 (2.8%)
17,866 (2.1%)
Reproductive system problems
118,609 (6.0%)
103,739 (9.2%)
14,833 (1.8%)
Other
132,079 (6.7%)
75,328 (6.7%)
56,670 (6.7%)
None of the above
512,140 (26.0%)
268,057 (23.8%)
243,847 (29.0%)
Don't know
17,451 (0.9%)
8,833 (0.8%)
8,563 (1.0%)
Prefer not to answer
8,295 (0.4%)
4,070 (0.4%)
3,909 (0.5%)
N: total number of participants that fall within the given category.
%: percentage of total participants that fall within the given category.
a Based on reported sex registered at birth (DEMOG_SEX_1_1 in v1 of the questionnaire, and DEMOG_SEX_2_1 in v2). Participants who reported “Other” (v1), “Intersex” (v2) or “Prefer not to answer” are not shown.
b Variable name: HEALTH_STATUS_CURR_1_1. Missing data for 1 participant due to technical data loss prior to October 2022. For more information, see our Release 12 Documentation.
c Variable name: HEALTH_STATUS_CHRONIC_1_1. Version 2 of questionnaire only.
d Responses to the question (Version 2 of questionnaire only), “Have you ever been diagnosed with any of the following by a doctor or other health professional?” (DIAG_2_M). Multiple responses are allowed, so condition-specific percentages may not sum to 100%. ‘Other, not listed’ was offered as a possible response. Only top-level categories of medical conditions are shown: depending on responses to these questions, additional questions are presented so that participants can give further details on their specific conditions.
Prevalence tables
With every release, we produce prevalence tables based on the self-reported diagnoses and self-reported medication use in the questionnaire.
You can find the latest prevalence tables (Release 14, May 2026) below.
Note on representativeness and statistical weights
Participant self-selection can lead to selection biases for some analyses in all non-probability, volunteer-based recruitment programmes, including Our Future Health. We aim to recruit a cohort that is reflective of the diversity of the UK population in terms of age, ethnicity, socioeconomic status and geography. This will ensure that the resource is amenable to investigation of a large range of hypotheses and potential discoveries to improve the health of all parts of the UK population. Recruiting a diverse population will also help both to minimise selection biases and to maximise the participation of groups in the UK who have been historically under-represented in health research. Current diversity of the Our Future Health cohort can be compared to the combined UK Censuses 2021-2022 using Table 2 of this document.
We recognise, however, that our participant sample is unlikely to be fully representative of the UK population in demographics and other factors. Research using data from Our Future Health may therefore be affected, to varying degrees, by selection biases. To address this challenge, we plan to conduct non-response analyses using data from our recruitment partners and from UK Census programmes. In due course, we will make the sampling weights and statistical code from this work available to our research users, enabling weighting of results back to the UK, England, Scotland, Wales, and Northern Ireland populations. This will help researchers to improve the accuracy of statistical inferences to these UK national populations in analyses of data from Our Future Health.
Last updated